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"krea2", + "default" + ], + "widgets_values_named": { + "clip_name": "qwen3-vl-4b-heretic_fp8_e4m3fn.safetensors", + "type": "krea2", + "device": "default" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 11, + "type": "PixaromaShowText", + "pos": [ + 3814.4293337308095, + -1607.6681871635278 + ], + "size": [ + 573.0333251953125, + 583.0166625976562 + ], + "flags": {}, + "order": 15, + "mode": 4, + "inputs": [ + { + "name": "source", + "type": "*", + "link": 15 + } + ], + "outputs": [ + { + "name": "text", + "type": "STRING", + "links": [] + } + ], + "title": "Image description", + "properties": { + "cnr_id": "ComfyUI-Pixaroma", + "ver": "c82f95989e0347b5cc48ddf52a51f2d776a1f83b", + "Node name for S&R": "PixaromaShowText" + }, + "widgets_values": [ + "A blonde woman with long, braided hair and dark sunglasses smiles warmly as she walks beside a friend, her toned physique accentuated by a bright coral bikini top and a cropped, skull-printed mini skirt that flares slightly at the hem; the fabric of the skirt is soft cotton with a faded, ink-stained graphic and a visible tag peeking from the side, catching dappled sunlight as she shifts weight. She carries a black shoulder bag with silver studs along its strap, the material showing slight creasing and wear, and her belly button piercing glints subtly under ambient light. Beside her, another woman with tousled, sun-kissed hair and gold-tinted sunglasses beams with joy, wearing a black sleeveless tee printed with “Buddhist” in gothic script above a heraldic crest and “Bruck” below, paired with frayed, earth-toned camouflage shorts that fray at the hem; her hands rest loosely at her sides, one adorned with a simple ring. They move through a bustling outdoor crowd, blurred in the background with indistinct figures and casual attire, creating a shallow depth of field that isolates them against the lively chaos. The scene is shot on an 85mm f/1.4 lens, capturing natural, diffused daylight that casts soft shadows and highlights across their skin and clothing, emphasizing texture over perfection — visible pores, flyaway hairs, and subtle asymmetry in their stance. The color palette is warm and sun-drenched, leaning into a golden-hour grading with muted tones in the background and vibrant pops of coral and black in the foreground. This is a real photographic capture rather than a CGI or digital composite, with authentic physics and fine grain, evoking the candid energy of a festival or street fair where movement and mood are as much part of the frame as the subjects themselves." + ], + "widgets_values_named": { + "text": "A blonde woman with long, braided hair and dark sunglasses smiles warmly as she walks beside a friend, her toned physique accentuated by a bright coral bikini top and a cropped, skull-printed mini skirt that flares slightly at the hem; the fabric of the skirt is soft cotton with a faded, ink-stained graphic and a visible tag peeking from the side, catching dappled sunlight as she shifts weight. She carries a black shoulder bag with silver studs along its strap, the material showing slight creasing and wear, and her belly button piercing glints subtly under ambient light. Beside her, another woman with tousled, sun-kissed hair and gold-tinted sunglasses beams with joy, wearing a black sleeveless tee printed with “Buddhist” in gothic script above a heraldic crest and “Bruck” below, paired with frayed, earth-toned camouflage shorts that fray at the hem; her hands rest loosely at her sides, one adorned with a simple ring. They move through a bustling outdoor crowd, blurred in the background with indistinct figures and casual attire, creating a shallow depth of field that isolates them against the lively chaos. The scene is shot on an 85mm f/1.4 lens, capturing natural, diffused daylight that casts soft shadows and highlights across their skin and clothing, emphasizing texture over perfection — visible pores, flyaway hairs, and subtle asymmetry in their stance. The color palette is warm and sun-drenched, leaning into a golden-hour grading with muted tones in the background and vibrant pops of coral and black in the foreground. This is a real photographic capture rather than a CGI or digital composite, with authentic physics and fine grain, evoking the candid energy of a festival or street fair where movement and mood are as much part of the frame as the subjects themselves." + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 12, + "type": "SeedNode", + "pos": [ + 3418.417868336156, + -1106.680500991624 + ], + "size": [ + 380.79998779296875, + 82 + ], + "flags": {}, + "order": 1, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "seed", + "type": "INT", + "links": [ + 16 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.1", + "Node name for S&R": "SeedNode" + }, + "widgets_values": [ + 909158672184154, + "fixed" + ], + "widgets_values_named": { + "seed": 909158672184154, + "fixed": "fixed" + } + }, + { + "id": 13, + "type": "StringConcatenate", + "pos": [ + 2360.2595832706857, + -904.5629166208146 + ], + "size": [ + 682.9500122070312, + 614.2000122070312 + ], + "flags": {}, + "order": 2, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 18 + ] + } + ], + "title": "System prompt + user request", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.1", + "Node name for S&R": "StringConcatenate" + }, + "widgets_values": [ + "You are an expert prompt engineer for Krea-2, an aesthetic-first text-to-image model that responds best to rich, flowing natural-language prose — never comma-stuffed keyword lists.\n\nTASK\nThe user will give you a short, possibly vague description of the image they want. Expand it into one polished, highly effective Krea-2 prompt of 1–2 paragraphs.\n\nLANGUAGE RULE\nThe user's request may be in Russian or any other language. Your final output MUST be written in English. Do not translate the request literally — write a natural English prompt.\n\nSTRUCTURE\nWeave these beats in order into continuous prose:\n1. Main subject + pose/action.\n2. Appearance, clothing & details — be extremely specific about fabric type, fit, wear, and how materials catch light.\n3. Props & materials — describe significant props with material qualities and light interaction.\n4. Composition, framing & perspective — shot type, camera angle, depth of field, spatial balance (negative space, leading lines, rule of thirds, layering).\n5. Environment & background.\n6. Lighting, color palette & mood — lighting direction and quality (e.g. \"single hard directional source from the upper left\"); name the palette and grading as its own descriptor (e.g. \"muted earth tones\", \"cool desaturated wash\").\n7. Overall aesthetic & medium — name it explicitly (photorealistic photography, cinematic still, editorial fashion, watercolor illustration, etc.).\n\nREALISM CHECKLIST (apply by default unless the user explicitly asks for a stylized/CGI/illustrated look):\n- Camera/lens language: name a real lens and setting, e.g. \"shot on an 85mm f/1.4 lens\", \"shallow depth of field\".\n- Texture over perfection: natural skin texture with visible pores, slightly uneven tone, a few flyaway hairs, subtle asymmetry. Avoid words like \"flawless\", \"vivid\", \"striking\".\n- Realism anchor near the end: \"a real photographic capture rather than a CGI or digital composite\", \"authentic physics\", \"true camera detail, fine grain\".\n- Asymmetric, imperfect lighting: light falloff on one side of the face, a subtle shadow under the chin, a faint practical lens flare. Never perfectly even lighting.\n- Real-world physics: condensation that smears unevenly, fabric with real weave and loose threads, glass with faint fingerprint smudges.\n\nRULES\n- Never open with \"In this image...\" or \"The photo shows...\" — start directly on the subject.\n- Preserve everything the user specified: subjects, actions, colors, mood, medium. Never contradict the request. You may add plausible supporting detail, but do not introduce major new characters or objects the user did not imply.\n- If the user explicitly names a medium (\"photo of\", \"painting of\", \"3D render of\"), honor it and skip realism anchors that would conflict with it.\n- If legible text is wanted inside the image, wrap the exact text in double quotation marks, e.g. a sign reading \"OPEN LATE\".\n- If the subject's face is obscured, describe what obscures it.\n\nOUTPUT FORMAT\nOutput ONLY the final prompt — 1–2 paragraphs of flowing prose. No preamble, no explanations, no markdown, no quotes around the whole text, no \"Here is your prompt:\".\n\nUSER REQUEST:", + "Street photo, Asian girl, 25 years old, short disheveled hair, skinny jeans, large breasts, light white top with Hello Kitty print in pixel art style, large pink headphones, busy street, photo on an old mobile phone, noise", + "" + ], + "widgets_values_named": { + "string_a": "You are an expert prompt engineer for Krea-2, an aesthetic-first text-to-image model that responds best to rich, flowing natural-language prose — never comma-stuffed keyword lists.\n\nTASK\nThe user will give you a short, possibly vague description of the image they want. Expand it into one polished, highly effective Krea-2 prompt of 1–2 paragraphs.\n\nLANGUAGE RULE\nThe user's request may be in Russian or any other language. Your final output MUST be written in English. Do not translate the request literally — write a natural English prompt.\n\nSTRUCTURE\nWeave these beats in order into continuous prose:\n1. Main subject + pose/action.\n2. Appearance, clothing & details — be extremely specific about fabric type, fit, wear, and how materials catch light.\n3. Props & materials — describe significant props with material qualities and light interaction.\n4. Composition, framing & perspective — shot type, camera angle, depth of field, spatial balance (negative space, leading lines, rule of thirds, layering).\n5. Environment & background.\n6. Lighting, color palette & mood — lighting direction and quality (e.g. \"single hard directional source from the upper left\"); name the palette and grading as its own descriptor (e.g. \"muted earth tones\", \"cool desaturated wash\").\n7. Overall aesthetic & medium — name it explicitly (photorealistic photography, cinematic still, editorial fashion, watercolor illustration, etc.).\n\nREALISM CHECKLIST (apply by default unless the user explicitly asks for a stylized/CGI/illustrated look):\n- Camera/lens language: name a real lens and setting, e.g. \"shot on an 85mm f/1.4 lens\", \"shallow depth of field\".\n- Texture over perfection: natural skin texture with visible pores, slightly uneven tone, a few flyaway hairs, subtle asymmetry. Avoid words like \"flawless\", \"vivid\", \"striking\".\n- Realism anchor near the end: \"a real photographic capture rather than a CGI or digital composite\", \"authentic physics\", \"true camera detail, fine grain\".\n- Asymmetric, imperfect lighting: light falloff on one side of the face, a subtle shadow under the chin, a faint practical lens flare. Never perfectly even lighting.\n- Real-world physics: condensation that smears unevenly, fabric with real weave and loose threads, glass with faint fingerprint smudges.\n\nRULES\n- Never open with \"In this image...\" or \"The photo shows...\" — start directly on the subject.\n- Preserve everything the user specified: subjects, actions, colors, mood, medium. Never contradict the request. You may add plausible supporting detail, but do not introduce major new characters or objects the user did not imply.\n- If the user explicitly names a medium (\"photo of\", \"painting of\", \"3D render of\"), honor it and skip realism anchors that would conflict with it.\n- If legible text is wanted inside the image, wrap the exact text in double quotation marks, e.g. a sign reading \"OPEN LATE\".\n- If the subject's face is obscured, describe what obscures it.\n\nOUTPUT FORMAT\nOutput ONLY the final prompt — 1–2 paragraphs of flowing prose. No preamble, no explanations, no markdown, no quotes around the whole text, no \"Here is your prompt:\".\n\nUSER REQUEST:", + "string_b": "Street photo, Asian girl, 25 years old, short disheveled hair, skinny jeans, large breasts, light white top with Hello Kitty print in pixel art style, large pink headphones, busy street, photo on an old mobile phone, noise", + "delimiter": "" + } + }, + { + "id": 14, + "type": "TextGenerate", + "pos": [ + 3063.0434761891015, + -902.5312963813092 + ], + "size": [ + 426.98333740234375, + 494 + ], + "flags": {}, + "order": 12, + "mode": 0, + "showAdvanced": true, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 21 + }, + { + "name": "image", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "video", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "audio", + "shape": 7, + "type": "AUDIO", + "link": null + }, + { + "name": "prompt", + "type": "STRING", + "widget": { + "name": "prompt" + }, + "link": 18 + }, + { + "name": "sampling_mode.seed", + "type": "INT", + "widget": { + "name": "sampling_mode.seed" + }, + "link": 19 + } + ], + "outputs": [ + { + "name": "generated_text", + "type": "STRING", + "links": [ + 20 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.21.0", + "Node name for S&R": "TextGenerate" + }, + "widgets_values": [ + "Describe the image, and transcribe the audio", + 1024, + "on", + 0.75, + 64, + 0.95, + 0.05, + 1.05, + 0, + 0, + false, + true + ], + "widgets_values_named": { + "prompt": "Describe the image, and transcribe the audio", + "max_length": 1024, + "sampling_mode": "on", + "sampling_mode.temperature": 0.75, + "sampling_mode.top_k": 64, + "sampling_mode.top_p": 0.95, + "sampling_mode.min_p": 0.05, + "sampling_mode.repetition_penalty": 1.05, + "sampling_mode.seed": 0, + "sampling_mode.presence_penalty": 0, + "thinking": false, + "use_default_template": true + } + }, + { + "id": 15, + "type": "SeedNode", + "pos": [ + 3070.1868686838975, + -361.75039008082877 + ], + "size": [ + 414.25, + 82 + ], + "flags": {}, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "seed", + "type": "INT", + "links": [ + 19 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.1", + "Node name for S&R": "SeedNode" + }, + "widgets_values": [ + 586452232946920, + "increment" + ], + "widgets_values_named": { + "seed": 586452232946920, + "fixed": "increment" + } + }, + { + "id": 16, + "type": "PixaromaShowText", + "pos": [ + 3515.6482824950012, + -905.7269727163928 + ], + "size": [ + 503.20001220703125, + 619.2000122070312 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [ + { + "name": "source", + "type": "*", + "link": 20 + } + ], + "outputs": [ + { + "name": "text", + "type": "STRING", + "links": [ + 53 + ] + } + ], + "title": "PROMPT", + "properties": { + "cnr_id": "ComfyUI-Pixaroma", + "ver": "c82f95989e0347b5cc48ddf52a51f2d776a1f83b", + "Node name for S&R": "PixaromaShowText" + }, + "widgets_values": [ + "A young Asian woman, 25, stands mid-stride on a bustling city sidewalk, her short, tousled hair catching the late afternoon sun as it falls across her shoulders in soft, uneven highlights — strands escaping their messy hold, framing her face with a lived-in casualness. She wears skinny jeans that hug her legs with a faint, faded denim texture, the fabric slightly frayed at the knees and showing subtle creases from movement, while her light white top — cropped and loose-fitting — features a pixelated Hello Kitty print rendered in a retro 1980s video game aesthetic, each square block of color slightly off-kilter, as if screen-scratched; the material feels lightweight cotton-poly blend, catching light with a matte sheen that shifts subtly as she moves. Over her ears, oversized pink headphones rest like a playful prop, their glossy plastic surface reflecting ambient streetlight in streaks of warm pink and gold, while the earcups show minor smudges and a faint fingerprint near the hinge. She’s captured mid-step, one foot lifted slightly off the pavement, arms loosely swinging, as if caught in a moment of urban distraction — the background a blur of hurried pedestrians, storefront awnings, and traffic signs, all rendered with shallow depth of field to emphasize her against the chaos. The shot is framed from a low-angle perspective, slightly tilted, as if taken from a phone held at arm’s length — the edges of the image subtly curved, hinting at the curvature of an old mobile phone screen, its pixelated grid visible along the bottom edge, grainy and textured with digital noise that mimics real-world sensor imperfections. Behind her, the street pulses with muted grays and industrial browns, punctuated by neon glows and the occasional flicker of a passing sign, all bathed in a single hard directional source from the upper left, casting long, soft-edged shadows beneath her chin and along the sidewalk, while a faint lens flare dances just above her right shoulder. The color palette is a cool desaturated wash — faded blues, dusty beiges, and muted pinks — with a slight warm backlight bleeding through the scene, lending it a nostalgic, almost cinematic feel. Shot on an 85mm f/1.4 lens with shallow depth of field, the image retains authentic physics: skin texture with visible pores, flyaway hairs near her temples, a slight asymmetry in the lighting on her cheekbones, and faint condensation smears on the phone’s screen corner. A real photographic capture rather than a CGI or digital composite, with fine grain and natural lens distortion, grounding this moment in the tactile reality of a crowded street captured on a relic device." + ], + "widgets_values_named": { + "text": "A young Asian woman, 25, stands mid-stride on a bustling city sidewalk, her short, tousled hair catching the late afternoon sun as it falls across her shoulders in soft, uneven highlights — strands escaping their messy hold, framing her face with a lived-in casualness. She wears skinny jeans that hug her legs with a faint, faded denim texture, the fabric slightly frayed at the knees and showing subtle creases from movement, while her light white top — cropped and loose-fitting — features a pixelated Hello Kitty print rendered in a retro 1980s video game aesthetic, each square block of color slightly off-kilter, as if screen-scratched; the material feels lightweight cotton-poly blend, catching light with a matte sheen that shifts subtly as she moves. Over her ears, oversized pink headphones rest like a playful prop, their glossy plastic surface reflecting ambient streetlight in streaks of warm pink and gold, while the earcups show minor smudges and a faint fingerprint near the hinge. She’s captured mid-step, one foot lifted slightly off the pavement, arms loosely swinging, as if caught in a moment of urban distraction — the background a blur of hurried pedestrians, storefront awnings, and traffic signs, all rendered with shallow depth of field to emphasize her against the chaos. The shot is framed from a low-angle perspective, slightly tilted, as if taken from a phone held at arm’s length — the edges of the image subtly curved, hinting at the curvature of an old mobile phone screen, its pixelated grid visible along the bottom edge, grainy and textured with digital noise that mimics real-world sensor imperfections. Behind her, the street pulses with muted grays and industrial browns, punctuated by neon glows and the occasional flicker of a passing sign, all bathed in a single hard directional source from the upper left, casting long, soft-edged shadows beneath her chin and along the sidewalk, while a faint lens flare dances just above her right shoulder. The color palette is a cool desaturated wash — faded blues, dusty beiges, and muted pinks — with a slight warm backlight bleeding through the scene, lending it a nostalgic, almost cinematic feel. Shot on an 85mm f/1.4 lens with shallow depth of field, the image retains authentic physics: skin texture with visible pores, flyaway hairs near her temples, a slight asymmetry in the lighting on her cheekbones, and faint condensation smears on the phone’s screen corner. A real photographic capture rather than a CGI or digital composite, with fine grain and natural lens distortion, grounding this moment in the tactile reality of a crowded street captured on a relic device." + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 22, + "type": "StringConcatenate", + "pos": [ + 2936.7127320134073, + -1607.6517389551136 + ], + "size": [ + 462.0333251953125, + 578.4666748046875 + ], + "flags": {}, + "order": 4, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 48 + ] + } + ], + "title": "System prompt + user request", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.1", + "Node name for S&R": "StringConcatenate" + }, + "widgets_values": [ + "You are an expert at reverse-engineering reference images into highly effective Krea-2 prompts. Krea-2 is an aesthetic-first text-to-image model that responds best to rich, flowing natural-language prose — never comma-stuffed keyword lists.\n\nTASK\nYou are given a reference image. Analyze it carefully and write a single Krea-2 prompt based on it.\n- If there is NO text after \"USER REQUEST:\" below — recreate the image as faithfully as possible.\n- If there IS text after \"USER REQUEST:\" — apply exactly those changes (character swap, outfit change, restyle, composition change, etc.) while keeping everything else consistent with the reference image.\n\nLANGUAGE RULE\nThe user's request may be in Russian or any other language. Your final output MUST be written in English.\n\nSTRUCTURE\nWeave these beats in order into continuous prose:\n1. Main subject + pose/action.\n2. Appearance, clothing & details — fabric type, fit, wear, how materials catch light.\n3. Props & materials — material qualities and light interaction.\n4. Composition, framing & perspective — shot type, camera angle, depth of field, spatial balance.\n5. Environment & background.\n6. Lighting, color palette & mood — lighting direction and quality; name the palette and grading as its own descriptor.\n7. Overall aesthetic & medium — name it explicitly (photorealistic photography, cinematic still, editorial fashion, etc.).\n\nREALISM CHECKLIST (apply by default — but if the reference image itself is clearly stylized, CGI, or illustrated, match the reference's medium instead of forcing photorealism):\n- Camera/lens language: \"shot on an 85mm f/1.4 lens\", \"shallow depth of field\".\n- Texture over perfection: natural skin texture with visible pores, slightly uneven tone, flyaway hairs, subtle asymmetry. Avoid \"flawless\", \"vivid\", \"striking\".\n- Realism anchor near the end: \"a real photographic capture rather than a CGI or digital composite\", \"authentic physics\", \"true camera detail, fine grain\".\n- Asymmetric, imperfect lighting and real-world physics: uneven condensation, fabric with real weave and loose threads, faint fingerprint smudges on glass.\n\nCRITICAL ANALYSIS RULES\n- Lighting/color separation: if the scene has a strong colored light source, never assume a color appearing on the subject is its natural attribute. Separate what is LIT that color from what actually IS that color.\n- If the subject's face is obscured, describe what is obscuring it — do not omit it.\n- Character locking: if the user swaps in a new character, lock that character's traits (hair color/texture/styling, skin marks, makeup, signature outfit described with fabric, pattern and fit) and phrase them so they can be reused verbatim; keep the rest of the scene from the reference.\n- Composition adjustments from the user: \"too much\" → make elements sparse and spaced apart; floating → \"hover weightlessly, suspended mid-drift\"; bursting → \"scattering outward, chaotic textured spray\". Visual effects must originate from something specific and leave the subject clearly defined beneath them.\n\nRULES\n- Never open with \"In this image...\" or \"The photo shows...\" — start directly on the subject.\n- If legible text is present in the image or requested, wrap the exact text in double quotation marks, e.g. a sign reading \"OPEN LATE\".\n\nOUTPUT FORMAT\nOutput ONLY the final prompt — 1–2 paragraphs of flowing prose. No preamble, no explanations, no markdown, no quotes around the whole text.\n\nUSER REQUEST:", + "", + "" + ], + "widgets_values_named": { + "string_a": "You are an expert at reverse-engineering reference images into highly effective Krea-2 prompts. Krea-2 is an aesthetic-first text-to-image model that responds best to rich, flowing natural-language prose — never comma-stuffed keyword lists.\n\nTASK\nYou are given a reference image. Analyze it carefully and write a single Krea-2 prompt based on it.\n- If there is NO text after \"USER REQUEST:\" below — recreate the image as faithfully as possible.\n- If there IS text after \"USER REQUEST:\" — apply exactly those changes (character swap, outfit change, restyle, composition change, etc.) while keeping everything else consistent with the reference image.\n\nLANGUAGE RULE\nThe user's request may be in Russian or any other language. Your final output MUST be written in English.\n\nSTRUCTURE\nWeave these beats in order into continuous prose:\n1. Main subject + pose/action.\n2. Appearance, clothing & details — fabric type, fit, wear, how materials catch light.\n3. Props & materials — material qualities and light interaction.\n4. Composition, framing & perspective — shot type, camera angle, depth of field, spatial balance.\n5. Environment & background.\n6. Lighting, color palette & mood — lighting direction and quality; name the palette and grading as its own descriptor.\n7. Overall aesthetic & medium — name it explicitly (photorealistic photography, cinematic still, editorial fashion, etc.).\n\nREALISM CHECKLIST (apply by default — but if the reference image itself is clearly stylized, CGI, or illustrated, match the reference's medium instead of forcing photorealism):\n- Camera/lens language: \"shot on an 85mm f/1.4 lens\", \"shallow depth of field\".\n- Texture over perfection: natural skin texture with visible pores, slightly uneven tone, flyaway hairs, subtle asymmetry. Avoid \"flawless\", \"vivid\", \"striking\".\n- Realism anchor near the end: \"a real photographic capture rather than a CGI or digital composite\", \"authentic physics\", \"true camera detail, fine grain\".\n- Asymmetric, imperfect lighting and real-world physics: uneven condensation, fabric with real weave and loose threads, faint fingerprint smudges on glass.\n\nCRITICAL ANALYSIS RULES\n- Lighting/color separation: if the scene has a strong colored light source, never assume a color appearing on the subject is its natural attribute. Separate what is LIT that color from what actually IS that color.\n- If the subject's face is obscured, describe what is obscuring it — do not omit it.\n- Character locking: if the user swaps in a new character, lock that character's traits (hair color/texture/styling, skin marks, makeup, signature outfit described with fabric, pattern and fit) and phrase them so they can be reused verbatim; keep the rest of the scene from the reference.\n- Composition adjustments from the user: \"too much\" → make elements sparse and spaced apart; floating → \"hover weightlessly, suspended mid-drift\"; bursting → \"scattering outward, chaotic textured spray\". Visual effects must originate from something specific and leave the subject clearly defined beneath them.\n\nRULES\n- Never open with \"In this image...\" or \"The photo shows...\" — start directly on the subject.\n- If legible text is present in the image or requested, wrap the exact text in double quotation marks, e.g. a sign reading \"OPEN LATE\".\n\nOUTPUT FORMAT\nOutput ONLY the final prompt — 1–2 paragraphs of flowing prose. No preamble, no explanations, no markdown, no quotes around the whole text.\n\nUSER REQUEST:", + "string_b": "", + "delimiter": "" + } + }, + { + "id": 25, + "type": "UNETLoader", + "pos": [ + 3386.541823202392, + -2085.054349188921 + ], + "size": [ + 382.6166687011719, + 114 + ], + "flags": {}, + "order": 5, + "mode": 0, + "showAdvanced": true, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 30 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.1", + "Node name for S&R": "UNETLoader" + }, + "widgets_values": [ + "sickOllie_krea2.safetensors", + "default" + ], + "widgets_values_named": { + "unet_name": "sickOllie_krea2.safetensors", + "weight_dtype": "default" + } + }, + { + "id": 26, + "type": "KSamplerAdvanced", + "pos": [ + 3780.9825676291794, + -2075.8445729605814 + ], + "size": [ + 284.3500061035156, + 334 + ], + "flags": {}, + "order": 17, + "mode": 0, + "showAdvanced": false, + "inputs": [ + { + "label": "model", + "name": "model", + "type": "MODEL", + "link": 30 + }, + { + "label": "positive", + "name": "positive", + "type": "CONDITIONING", + "link": 36 + }, + { + "label": "negative", + "name": "negative", + "type": "CONDITIONING", + "link": 35 + }, + { + "label": "latent_image", + "name": "latent_image", + "type": "LATENT", + "link": 40 + }, + { + "label": "add_noise", + "name": "add_noise", + "type": "COMBO", + "widget": { + "name": "add_noise" + }, + "link": null + }, + { + "label": "noise_seed", + "name": "noise_seed", + "type": "INT", + "widget": { + "name": "noise_seed" + }, + "link": null + }, + { + "label": "steps", + "name": "steps", + "type": "INT", + "widget": { + "name": "steps" + }, + "link": null + }, + { + "label": "cfg", + "name": "cfg", + "type": "FLOAT", + "widget": { + "name": "cfg" + }, + "link": null + }, + { + "label": "sampler_name", + "name": "sampler_name", + "type": "COMBO", + "widget": { + "name": "sampler_name" + }, + "link": null + }, + { + "label": "scheduler", + "name": "scheduler", + "type": "COMBO", + "widget": { + "name": "scheduler" + }, + "link": null + }, + { + "label": "start_at_step", + "name": "start_at_step", + "type": "INT", + "widget": { + "name": "start_at_step" + }, + "link": null + }, + { + "label": "end_at_step", + "name": "end_at_step", + "type": "INT", + "widget": { + "name": "end_at_step" + }, + "link": null + }, + { + "label": "return_with_leftover_noise", + "name": "return_with_leftover_noise", + "type": "COMBO", + "widget": { + "name": "return_with_leftover_noise" + }, + "link": null + } + ], + "outputs": [ + { + "label": "LATENT", + "name": "LATENT", + "type": "LATENT", + "links": [ + 39 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.33.0", + "Node name for S&R": "KSamplerAdvanced", + "widget_ue_connectable": {} + }, + "widgets_values": [ + "enable", + 164865954343921, + "increment", + 6, + 1, + "er_sde", + "beta", + 0, + 30, + "disable" + ], + "widgets_values_named": { + "add_noise": "enable", + "noise_seed": 164865954343921, + "control_after_generate": "increment", + "steps": 6, + "cfg": 1, + "sampler_name": "er_sde", + "scheduler": "beta", + "start_at_step": 0, + "end_at_step": 30, + "return_with_leftover_noise": "disable" + } + }, + { + "id": 28, + "type": "CLIPTextEncode", + "pos": [ + 3396.7371475331142, + -1925.565682239492 + ], + "size": [ + 225, + 0 + ], + "flags": { + "collapsed": true + }, + "order": 16, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 45 + }, + { + "name": "text", + "type": "STRING", + "widget": { + "name": "text" + }, + "link": 53 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 36 + ] + } + ], + "title": "Positiv", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.1", + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "" + ], + "widgets_values_named": { + "text": "" + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 31, + "type": "PixaromaGetNode", + "pos": [ + 3390.397875943403, + -1878.083642156199 + ], + "size": [ + 225, + 0 + ], + "flags": { + "collapsed": true + }, + "order": 6, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "*", + "type": "*", + "links": [] + } + ], + "title": "Get: prompt", + "properties": { + "pixSGName": "prompt" + }, + "widgets_values": [ + "prompt", + "" + ], + "widgets_values_named": { + "name": "prompt", + "pix_setget_value": "" + }, + "color": "#1d1d1d", + "bgcolor": "#2a2a2a" + }, + { + "id": 32, + "type": "CLIPTextEncode", + "pos": [ + 3397.86296472475, + -1891.2205010715597 + ], + "size": [ + 225, + 0 + ], + "flags": { + "collapsed": true + }, + "order": 11, + "mode": 0, + "inputs": [ + { + "label": "clip", + "name": "clip", + "type": "CLIP", + "link": 44 + }, + { + "label": "text", + "name": "text", + "type": "STRING", + "widget": { + "name": "text" + }, + "link": null + } + ], + "outputs": [ + { + "label": "CONDITIONING", + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 35 + ] + } + ], + "title": "Negativ", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.73", + "Node name for S&R": "CLIPTextEncode", + "hasSecondTab": false, + "widget_ue_connectable": {}, + "secondTabText": "Send Back", + "enableTabs": false, + "secondTabOffset": 80, + "tabWidth": 65, + "secondTabWidth": 65, + "tabXOffset": 10 + }, + "widgets_values": [ + "blurry, low resolution, low quality image, distorted limbs, eerie appearance, ugly, AI feel, noise, grid artifacts, JPEG compression stripes, abnormal limbs, watermark, garbled text, meaningless characters, bluish tint" + ], + "widgets_values_named": { + "text": "blurry, low resolution, low quality image, distorted limbs, eerie appearance, ugly, AI feel, noise, grid artifacts, JPEG compression stripes, abnormal limbs, watermark, garbled text, meaningless characters, bluish tint" + }, + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 33, + "type": "VAELoader", + "pos": [ + 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This is a simple image-based prompt generator + a prompt enhancer based on a simple hint.


Text encoder (NSFW)
https://huggingface.co/DreamFast/Qwen3-VL-4b-Heretic-ComfyUI/blob/main/qwen3-vl-4b-heretic_fp8_e4m3fn.safetensors

You'll also need some Pixorama nodes, which you can install using ComfyUI Manager.

WARNING!
I don't recommend changing the system prompt in the \\\"System prompt + user request\\\" node.

When generating from an image, you can add whatever you'd like to change in the string_b field, or leave it blank.

BONUS: I've added a small workflow for a quick preview.\",\"buttonColor\":\"#f66744\",\"lineColor\":\"#f66744\",\"width\":571.7000122070312,\"height\":587.5333251953125}", + "" + ], + "widgets_values_named": { + "note_json": "{\"version\":1,\"content\":\"

This is a simple image-based prompt generator + a prompt enhancer based on a simple hint.


Text encoder (NSFW)
https://huggingface.co/DreamFast/Qwen3-VL-4b-Heretic-ComfyUI/blob/main/qwen3-vl-4b-heretic_fp8_e4m3fn.safetensors

You'll also need some Pixorama nodes, which you can install using ComfyUI Manager.

WARNING!
I don't recommend changing the system prompt in the \\\"System prompt + user request\\\" node.

When generating from an image, you can add whatever you'd like to change in the string_b field, or leave it blank.

BONUS: I've added a small workflow for a quick preview.\",\"buttonColor\":\"#f66744\",\"lineColor\":\"#f66744\",\"width\":571.7000122070312,\"height\":587.5333251953125}", + "note_dom": "" + }, + "color": "#111111", + "bgcolor": "#111111" + } + ], + "links": [ + [ + 1, + 3, + 0, + 1, + 0, + "CLIP" + ], + [ + 15, + 1, + 0, + 11, + 0, + "STRING" + ], + [ + 16, + 12, + 0, + 1, + 5, + "INT" + ], + [ + 18, + 13, + 0, + 14, + 4, + "STRING" + ], + [ + 19, + 15, + 0, + 14, + 5, + "INT" + ], + [ + 20, + 14, + 0, + 16, + 0, + "STRING" + ], + [ + 21, + 3, + 0, + 14, + 0, + "CLIP" + ], + [ + 30, + 25, + 0, + 26, + 0, + "MODEL" + ], + [ + 35, + 32, + 0, + 26, + 2, + "CONDITIONING" + ], + [ + 36, + 28, + 0, + 26, + 1, + "CONDITIONING" + ], + [ + 38, + 33, + 0, + 34, + 1, + "VAE" + ], + [ + 39, + 26, + 0, + 34, + 0, + "LATENT" + ], + [ + 40, + 35, + 0, + 26, + 3, + "LATENT" + ], + [ + 41, + 34, + 0, + 36, + 0, + "IMAGE" + ], + [ + 44, + 3, + 0, + 32, + 0, + "CLIP" + ], + [ + 45, + 3, + 0, + 28, + 0, + "CLIP" + ], + [ + 48, + 22, + 0, + 1, + 4, + "STRING" + ], + [ + 50, + 43, + 0, + 1, + 1, + "IMAGE" + ], + [ + 53, + 16, + 0, + 28, + 1, + "STRING" + ] + ], + "groups": [ + { + "id": 1, + "title": "Prompt generator IMG2TXT", + "bounding": [ + 2339.77683324896, + -1682.1312751441815, + 2068.2222781995397, + 675.2523722362009 + ], + "color": "#3f789e", + "flags": {} + }, + { + "id": 2, + "title": "Prompt enhancer", + "bounding": [ + 2350.2595832706857, + -975.7269727163928, + 1679.951308263191, + 711.4267885132017 + ], + "color": "#3f789e", + "flags": {} + }, + { + "id": 3, + "title": "Fast preview", + "bounding": [ + 3370.8631230640995, + -2159.2845636610336, + 1037.5907961645512, + 419.2590241220696 + ], + "color": "#3f789e", + "flags": {} + } + ], + "config": {}, + "extra": { + "ds": { + "scale": 0.9849732675807813, + "offset": [ + -1493.9097877796844, + 1865.270117518011 + ] + }, + "frontendVersion": "1.49.6", + "VHS_latentpreview": false, + "VHS_latentpreviewrate": 0, + 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She has dark fur, expressive ears, clawed fingers, a long tongue, and a striking gothic presence. She wears a black gothic dress with fishnet details, chokers, and facial and body piercings. Her pose is theatrical and confident as she stands beneath moody colored club lighting. The club interior is dim and atmospheric, with soft haze, dramatic shadows, and isolated pools of light framing her silhouette. Gothic fashion illustration, polished digital painting, dark club atmosphere, elegant alternative styling, rich fabric detail, subtle glam-horror energy, and a sleek high-end character-art finish....fellatrix_st1le, \nmasterpiece, best quality, amazing quality, very aesthetic, high resolution, ultra-detailed, absurdres, newest, scenery, Jeddtl02, volumetric lighting, 8K, depth of field, solo, alone, 1girl, attractive, voluptuous, gorgeous, curvy, mature female, kitsune, gorgeous body, voluptuous body, perfect body, long hair, white hair, hair tubes, black sclera, purple eyes, black skin, dark skin, very dark skin, pitch black skin, animal ears, fox ears, makeup, eyeliner, lipstick, black lips, outside, outdoors, Japanese garden, black sky, traditional Japanese clothes, off shoulder, one bare shoulder, Japanese hair ornament, upper body focus, close up, headshot, looking at viewer, open mouth, smilezitfet, feet, jewelry, barefoot, toes, foot focus, toe ring, ring, solo, close-up, 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+ } + }, + "version": 0.4 +} \ No newline at end of file diff --git a/Face-Head Swap - Character LoRA + SAM3 Auto-Mask (Krea 2).json b/Face-Head Swap - Character LoRA + SAM3 Auto-Mask (Krea 2).json new file mode 100644 index 0000000000000000000000000000000000000000..885a548623f7a80d91aa6a406953263bab42b3a1 --- /dev/null +++ b/Face-Head Swap - Character LoRA + SAM3 Auto-Mask (Krea 2).json @@ -0,0 +1,1655 @@ +{ + "id": "d1e2f3a4-krea2-dual-lora-segment-refine", + "revision": 0, + "last_node_id": 104, + "last_link_id": 144, + "nodes": [ + { + "id": 87, + "type": "CLIPLoader", + "pos": [ + 731.5069713274777, + -7012.512600421315 + ], + "size": [ + 360, + 106 + ], + "flags": {}, + "order": 0, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "CLIP", + "type": "CLIP", + "links": [ + 109 + ] + } + ], + "title": "1P: Qwen3-VL CLIP (duplicate load)", + "properties": { + "Node name for S&R": "CLIPLoader", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "qwen3vl_4b_fp8_scaled.safetensors", + "krea2", + "default" + ] + }, + { + "id": 88, + "type": "VAELoader", + "pos": [ + 731.5069713274777, + -6856.512600421315 + ], + "size": [ + 360, + 58 + ], + "flags": {}, + "order": 1, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "VAE", + "type": "VAE", + "links": [ + 113, + 121 + ] + } + ], + "title": "1P: VAE (duplicate load)", + "properties": { + "Node name for S&R": "VAELoader", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "qwen_image_vae.safetensors" + ] + }, + { + "id": 89, + "type": "CheckpointLoaderSimple", + "pos": [ + 731.5069713274777, + -6748.512600421315 + ], + "size": [ + 360, + 100 + ], + "flags": {}, + "order": 2, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 102 + ] + }, + { + "name": "CLIP", + "type": "CLIP", + "links": [ + 101 + ] + }, + { + "name": "VAE", + "type": "VAE", + "links": [] + } + ], + "title": "1P: SAM3 checkpoint (duplicate load)", + "properties": { + "Node name for S&R": "CheckpointLoaderSimple", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "sam3.1_multiplex_fp16.safetensors" + ] + }, + { + "id": 77, + "type": "ConditioningZeroOut", + "pos": [ + 4282.2174286933505, + -7322.792155361803 + ], + "size": [ + 360, + 50 + ], + "flags": {}, + "order": 20, + "mode": 0, + "inputs": [ + { + "name": "conditioning", + "type": "CONDITIONING", + "link": 111 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 118 + ] + } + ], + "title": "77. Person negative (zero-out)", + "properties": { + "Node name for S&R": "ConditioningZeroOut", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 81, + "type": "VAEDecode", + "pos": [ + 5862.217428693354, + -7492.792155361803 + ], + "size": [ + 220, + 46 + ], + "flags": {}, + "order": 28, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 120 + }, + { + "name": "vae", + "type": "VAE", + "link": 121 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 143 + ] + } + ], + "title": "81. Final Decode", + "properties": { + "Node name for S&R": "VAEDecode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 82, + "type": "SaveImage", + "pos": [ + 6162.217428693354, + -7492.792155361803 + ], + "size": [ + 320, + 270 + ], + "flags": {}, + "order": 30, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 144 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": [] + } + ], + "title": "82. SAVE: Final (single identity refined)", + "properties": { + "Node name for S&R": "SaveImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "krea2_single_final" + ] + }, + { + "id": 86, + "type": "UNETLoader", + "pos": [ + 731.5069713274777, + -7144.512600421315 + ], + "size": [ + 360, + 82 + ], + "flags": {}, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 108 + ] + } + ], + "title": "1P: Krea 2 Turbo UNet (duplicate load)", + "properties": { + "Node name for S&R": "UNETLoader", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "krea2_turbo_int8_convrot.safetensors", + "default" + ] + }, + { + "id": 102, + "type": "Note", + "pos": [ + 612.522070262977, + -8448.20980099754 + ], + "size": [ + 1146.6495567095817, + 152.20967221311366 + ], + "flags": {}, + "order": 4, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Start Here ! FaceSwapping is Easier - Headswapping Can Require Tweaking", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Important Notes\n\n**Best If your Input image looks similar to your character lora**\n\nBasics:\n1: Input your Image, best with 1 person only. Best if they look similar to your character lorw, skin tone, ethnicity, hair color.\n2: Load your lora on node 75. adjust strength to what works best for you. For me 1.30 was sweetspot. \n3: tweak denoise from .20 to .50 about and see what works best for you\n\nIf your Input image is drastically different to your character lora, see notes below" + ], + "color": "#ee2a2a", + "bgcolor": "#da1616" + }, + { + "id": 99, + "type": "Note", + "pos": [ + 597.7671521560895, + -7935.4481072432845 + ], + "size": [ + 1172.6531304080597, + 331.7847251289886 + ], + "flags": {}, + "order": 5, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "NOTE: skin tone mismatch across large ethnicity/skin-tone gaps - Example: Black woman input image, character lora is asian woman - Headswap is harder", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Denoise: Try .30 to .50\n\nGrowMask expand (node 5) and mask_blend_pixels on Inpaint Crop (node 8) are a DIAL, not a fixed setting -- between two failure modes:\n\nToo LOW = abrupt/incomplete: mask undersizes the face, original skin tone snaps back at the edges.\nToo HIGH = over-blended: feather zone wide enough to visibly average the two skin tones into a muddy gradient.\n\nBigger skin-tone contrast between source photo and target LoRA identity = need TIGHTER (smaller) values on both. Heavy blending forgives a small mismatch but exaggerates a large one.\n\nProcess: (use a fixed seed for testing purposes, can try one tweak, go back and retweak, once u have the settings make note and save them for a future similiar scenario)\n\n1. Start: GrowMask expand ~5-8, mask_blend_pixels ~10-15. (If you simply set blend_pixels to 0 you can see how it instantly fixes the skin color of your character, but blending with the rest of image will suffer. Try incremently increasing these values from here until you get a middleground you like)\n2. Check the jaw/neck seam specifically.\n3. Original tone bleeding through at edges? -> increase expand (coverage problem).\n4. Muddy gradient at the seam? -> decrease mask_blend_pixels (feather problem).\n5. Recheck the DEBUG mask preview after each change.\n\nAlso: these settings ONLY affect the seam at the edge of whatever SAM3 segmented. Skin outside that mask (shoulders/chest/arms) is never touched -- broaden the SAM3 prompt to include it, or use tighter headshot/bust-crop source photos instead.\n\nAlso: Try adjusting the prompt a bit. On the same fixed seed, all other settings the same, adding \"asian,pale\" makes a big difference on skin color when the input image was black for example." + ], + "color": "#323", + "bgcolor": "#535" + }, + { + "id": 100, + "type": "Note", + "pos": [ + 607.6840945573157, + -8244.410346757011 + ], + "size": [ + 1159.268771029428, + 265.71518556132014 + ], + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "NOTE: Worklow works the easiest and most automated when your input image is similar to your character lora, as in: race, hair color, skin tone, etc - Faceswap", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "The default settings are for a similar input image to your character lora. Not much tweaking is needed.\n\nTry: (workflow defaults) \n\nNode 80/Kzampler: from .20 to .50 for denoise on the ksampler seems to work best to match positioning, above makes it go bonkers a bit but more freedom\n\nNode 72/Tighten Mask: \nif head edges being cut off a bit... increase expand from 0 up until 5, or more\nif head expanding too much and cutting/covering into other areas, shrink expand to negative numbers like -1 to -3\n\nExperimental:\n\nThis works best with a single person in your input image. Sam3 is smart enough to pick the right person if your image has a man and a woman, if you prompt the samr 3 node with \"man\" or \"woman\". But if it's 2 women in the photo, or 2 men, it will get confused and the masking will bug out." + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 78, + "type": "VAEEncode", + "pos": [ + 4722.217428693352, + -7492.792155361803 + ], + "size": [ + 473.8121852414455, + 72.44850924005823 + ], + "flags": {}, + "order": 25, + "mode": 0, + "inputs": [ + { + "name": "pixels", + "type": "IMAGE", + "link": 141 + }, + { + "name": "vae", + "type": "VAE", + "link": 113 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 114 + ] + } + ], + "title": "78. VAEEncode (full image - no crop needed)", + "properties": { + "Node name for S&R": "VAEEncode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 93, + "type": "InpaintStitchImproved", + "pos": [ + 4949.1155917176175, + -7262.715175797562 + ], + "size": [ + 431.8268665918107, + 68.59921815015696 + ], + "flags": {}, + "order": 29, + "mode": 0, + "inputs": [ + { + "name": "stitcher", + "type": "STITCHER", + "link": 140 + }, + { + "name": "inpainted_image", + "type": "IMAGE", + "link": 143 + } + ], + "outputs": [ + { + "name": "image", + "type": "IMAGE", + "links": [ + 144 + ] + } + ], + "title": "91. Inpaint Stitch (paste back into untouched original)", + "properties": { + "Node name for S&R": "InpaintStitchImproved", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 79, + "type": "SetLatentNoiseMask", + "pos": [ + 4703.333777229519, + -7373.252851168432 + ], + "size": [ + 451.2191967601342, + 49.847440200523124 + ], + "flags": {}, + "order": 26, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 114 + }, + { + "name": "mask", + "type": "MASK", + "link": 142 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 119 + ] + } + ], + "title": "79. SetLatentNoiseMask (preserves pose/scale)", + "properties": { + "Node name for S&R": "SetLatentNoiseMask", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 59, + "type": "LoadImage", + "pos": [ + 1785.2021180327301, + -7503.962822430888 + ], + "size": [ + 280, + 314 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 100 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": [] + } + ], + "title": "Your single-person photo", + "properties": { + "Node name for S&R": "LoadImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "1.png", + "image" + ] + }, + { + "id": 60, + "type": "ImageScale", + "pos": [ + 1744.1027308241978, + -6791.60231735424 + ], + "size": [ + 546.0457470749737, + 136.24090145449645 + ], + "flags": {}, + "order": 17, + "mode": 4, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 100 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 103, + 138 + ] + } + ], + "title": "Resize to canvas (896 x 1152) - Use if Huge Resolution to Speedup Gen", + "properties": { + "Node name for S&R": "ImageScale", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "lanczos", + 896, + 1152, + "center" + ] + }, + { + "id": 92, + "type": "InpaintCropImproved", + "pos": [ + 2147.890371623423, + -7490.254109127182 + ], + "size": [ + 340, + 650 + ], + "flags": {}, + "order": 23, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 138 + }, + { + "name": "mask", + "shape": 7, + "type": "MASK", + "link": 139 + }, + { + "name": "optional_context_mask", + "shape": 7, + "type": "MASK", + "link": null + } + ], + "outputs": [ + { + "name": "stitcher", + "type": "STITCHER", + "links": [ + 140 + ] + }, + { + "name": "cropped_image", + "type": "IMAGE", + "links": [ + 141 + ] + }, + { + "name": "cropped_mask", + "type": "MASK", + "links": [ + 142 + ] + } + ], + "title": "90. Inpaint Crop (isolate target person)", + "properties": { + "Node name for S&R": "InpaintCropImproved", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "bilinear", + "bicubic", + false, + "ensure minimum resolution", + 1024, + 1024, + 2048, + 2048, + true, + 0, + false, + 32, + 0.1, + false, + 1, + 1, + 1, + 1, + 1.5, + false, + 1440, + 2560, + "32", + "cpu (compatible)" + ] + }, + { + "id": 97, + "type": "Note", + "pos": [ + 2611.6606275847953, + -7745.283907190896 + ], + "size": [ + 535.4230785279838, + 145.9400628264848 + ], + "flags": { + "pinned": true + }, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "70. Sam3 Prompt", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "for sam3 prompt, specify if they are man/woman if only one person in image\n\nif more than 1 person in image (man and woman), specify \"man to the left\", or \"woman to the right\"\n\nit struggle swith 2 women or 2 men in the photo, best to crop down to one person in that case for your input image.\n\nthis chooeses which head to swap" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 70, + "type": "CLIPTextEncode", + "pos": [ + 2711.452775878435, + -7480.6719075754145 + ], + "size": [ + 300, + 120 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 101 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 104 + ] + } + ], + "title": "70. SAM3 prompt: the person", + "properties": { + "Node name for S&R": "CLIPTextEncode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "head,face,neck, and hair of the woman " + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 71, + "type": "SAM3_Detect", + "pos": [ + 3137.826760668151, + -7473.731296160691 + ], + "size": [ + 300, + 206 + ], + "flags": {}, + "order": 19, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 102 + }, + { + "name": "image", + "type": "IMAGE", + "link": 103 + }, + { + "name": "conditioning", + "shape": 7, + "type": "CONDITIONING", + "link": 104 + }, + { + "name": "bboxes", + "shape": 7, + "type": "BOUNDING_BOX", + "link": null + }, + { + "name": "positive_coords", + "shape": 7, + "type": "STRING", + "link": null + }, + { + "name": "negative_coords", + "shape": 7, + "type": "STRING", + "link": null + } + ], + "outputs": [ + { + "name": "masks", + "type": "MASK", + "links": [ + 105 + ] + }, + { + "name": "bboxes", + "type": "BOUNDING_BOX", + "links": [] + } + ], + "title": "71. SAM3_Detect - Person", + "properties": { + "Node name for S&R": "SAM3_Detect", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 0.6, + 2, + false + ] + }, + { + "id": 95, + "type": "Note", + "pos": [ + 3354.489814223229, + -7695.338262074716 + ], + "size": [ + 577.1474095477251, + 88 + ], + "flags": { + "pinned": true + }, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "72. tighten mask (expand=0)", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "if head being cut off a bit... increase expand from 0 up until 5\nif head cutting into other areas, shrink expand to negative numbers" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 94, + "type": "Note", + "pos": [ + 4208.303072145822, + -7732.79357007897 + ], + "size": [ + 569.4433634188958, + 123.85051168861173 + ], + "flags": { + "pinned": true + }, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "headswap prompts (node 76)", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "try \n[trigger word for lora], head,face,neck, and hair of woman, looking forward\n\nor\n\n[trigger word for lora], looking forward" + ], + "color": "#888f2d", + "bgcolor": "#747b19" + }, + { + "id": 96, + "type": "Note", + "pos": [ + 5325.617103857008, + -7701.428426931571 + ], + "size": [ + 463.0359936197201, + 88 + ], + "flags": { + "pinned": true + }, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "tweak denoise to adjust freedom of position/ render", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "from .20 to .50 seems to work best to match positioning/surrounding pixels, above makes it go bonkers a bit but more freedom\n\nTry fixing the seed, then regenerationg with tweaked settings to find your sweet spots" + ], + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 103, + "type": "Note", + "pos": [ + 3964.6890827409616, + -7699.5390659896 + ], + "size": [ + 215.3394379110705, + 88 + ], + "flags": { + "pinned": true + }, + "order": 12, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Your Character Lora", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Your Lora Below" + ], + "color": "#5ca832", + "bgcolor": "#48941e" + }, + { + "id": 72, + "type": "GrowMask", + "pos": [ + 3486.1270969923394, + -7497.589730068721 + ], + "size": [ + 300, + 90 + ], + "flags": {}, + "order": 21, + "mode": 0, + "inputs": [ + { + "name": "mask", + "type": "MASK", + "link": 105 + } + ], + "outputs": [ + { + "name": "MASK", + "type": "MASK", + "links": [ + 106, + 139 + ] + } + ], + "title": "72. Tighten mask (expand=0)", + "properties": { + "Node name for S&R": "GrowMask", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 0, + true + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 80, + "type": "KSampler", + "pos": [ + 5402.217428693354, + -7492.792155361803 + ], + "size": [ + 380, + 262 + ], + "flags": {}, + "order": 27, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 116 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 117 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 118 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 119 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 120 + ] + } + ], + "title": "80. Stage3 KSampler (identity fix)", + "properties": { + "Node name for S&R": "KSampler", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 859057893840622, + "randomize", + 8, + 1, + "euler", + "simple", + 0.3 + ], + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 76, + "type": "CLIPTextEncode", + "pos": [ + 4286.412701337763, + -7506.217027823922 + ], + "size": [ + 360, + 120 + ], + "flags": {}, + "order": 18, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 110 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 111, + 117 + ] + } + ], + "title": "76. Person ONLY prompt - Your Lora", + "properties": { + "Node name for S&R": "CLIPTextEncode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "[Lora Trigger Word], head,face,neck, and hair of woman, looking forward" + ], + "color": "#697c26", + "bgcolor": "#556812" + }, + { + "id": 75, + "type": "LoraLoader", + "pos": [ + 3814.4800888955765, + -7508.741125745518 + ], + "size": [ + 413.5316789426961, + 130 + ], + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 108 + }, + { + "name": "clip", + "type": "CLIP", + "link": 109 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 116 + ] + }, + { + "name": "CLIP", + "type": "CLIP", + "links": [ + 110 + ] + } + ], + "title": "75. Add Your Lora Here (full strength, isolated)", + "properties": { + "Node name for S&R": "LoraLoader", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "chr_nea_v01_KREA2_e050.safetensors", + 1.3, + 1 + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 73, + "type": "MaskToImage", + "pos": [ + 2720, + -6574 + ], + "size": [ + 260, + 50 + ], + "flags": {}, + "order": 22, + "mode": 0, + "inputs": [ + { + "name": "mask", + "type": "MASK", + "link": 106 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 107 + ] + } + ], + "title": "DEBUG: mask -> image preview", + "properties": { + "Node name for S&R": "MaskToImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 74, + "type": "SaveImage", + "pos": [ + 3060, + -6574 + ], + "size": [ + 408.1041015625, + 270 + ], + "flags": {}, + "order": 24, + "mode": 4, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 107 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": [] + } + ], + "title": "DEBUG SAVE: mask_debug (check this is NOT all black)", + "properties": { + "Node name for S&R": "SaveImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "krea2_single_mask_debug" + ] + }, + { + "id": 98, + "type": "Note", + "pos": [ + 3513.2706908366686, + -6523.228750438901 + ], + "size": [ + 599.6644452329582, + 183.60975375586622 + ], + "flags": { + "pinned": true + }, + "order": 13, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "NOTE: why the mask debug image doesn't change on reseed", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "ComfyUI caches each node's output and skips re-running it if its inputs haven't changed.\n\nRandomizing the seed only affects the KSampler (node 14). It does NOT change the image, SAM3 prompt, threshold, or mask expand value — so nodes 3-7 (SAM3 detect through mask debug save) are correctly SKIPPED and reused from cache. This is expected, not a bug.\n\nThe mask debug PNG will only update if you change: the input photo, the SAM3 prompt text, the threshold, or the Tighten Mask expand value.\n\nTo force a fresh SAM3 pass anyway: right-click node 4 (SAM3 Detect) and use its 'Run' option, or nudge the SAM3 prompt text and change it back.\n\n** If you don't want the mask to save and output, right click the debug save node and bypass it **" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 104, + "type": "Note", + "pos": [ + 3013.073410849852, + -6743.816684000031 + ], + "size": [ + 529.0161906636486, + 88 + ], + "flags": { + "pinned": true + }, + "order": 14, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "If you want to see the mask each generation right click the purple node below and click bypass. Then it will show the mask and you can troubleshoot/test things." + ], + "color": "#432", + "bgcolor": "#653" + } + ], + "links": [ + [ + 100, + 59, + 0, + 60, + 0, + "IMAGE" + ], + [ + 101, + 89, + 1, + 70, + 0, + "CLIP" + ], + [ + 102, + 89, + 0, + 71, + 0, + "MODEL" + ], + [ + 103, + 60, + 0, + 71, + 1, + "IMAGE" + ], + [ + 104, + 70, + 0, + 71, + 2, + "CONDITIONING" + ], + [ + 105, + 71, + 0, + 72, + 0, + "MASK" + ], + [ + 106, + 72, + 0, + 73, + 0, + "MASK" + ], + [ + 107, + 73, + 0, + 74, + 0, + "IMAGE" + ], + [ + 108, + 86, + 0, + 75, + 0, + "MODEL" + ], + [ + 109, + 87, + 0, + 75, + 1, + "CLIP" + ], + [ + 110, + 75, + 1, + 76, + 0, + "CLIP" + ], + [ + 111, + 76, + 0, + 77, + 0, + "CONDITIONING" + ], + [ + 113, + 88, + 0, + 78, + 1, + "VAE" + ], + [ + 114, + 78, + 0, + 79, + 0, + "LATENT" + ], + [ + 116, + 75, + 0, + 80, + 0, + "MODEL" + ], + [ + 117, + 76, + 0, + 80, + 1, + "CONDITIONING" + ], + [ + 118, + 77, + 0, + 80, + 2, + "CONDITIONING" + ], + [ + 119, + 79, + 0, + 80, + 3, + "LATENT" + ], + [ + 120, + 80, + 0, + 81, + 0, + "LATENT" + ], + [ + 121, + 88, + 0, + 81, + 1, + "VAE" + ], + [ + 138, + 60, + 0, + 92, + 0, + "IMAGE" + ], + [ + 139, + 72, + 0, + 92, + 1, + "MASK" + ], + [ + 140, + 92, + 0, + 93, + 0, + "STITCHER" + ], + [ + 141, + 92, + 1, + 78, + 0, + "IMAGE" + ], + [ + 142, + 92, + 2, + 79, + 1, + "MASK" + ], + [ + 143, + 81, + 0, + 93, + 1, + "IMAGE" + ], + [ + 144, + 93, + 0, + 82, + 0, + "IMAGE" + ] + ], + "groups": [ + { + "id": 1, + "title": "FaceHead Swap - Character LoRA + SAM3 Auto-Mask (Krea 2)", + "bounding": [ + 660, + -7600, + 5956.458234063115, + 1354.377419895518 + ], + "color": "#2c6fa0", + "flags": {} + }, + { + "id": 3, + "title": "1P README + duplicated loaders (always on)", + "bounding": [ + 691.5069713274777, + -7514.512600421315, + 560, + 906 + ], + "color": "#555555", + "flags": {} + }, + { + "id": 4, + "title": "1P Input: Load Your Own Photo (required - no generation step)", + "bounding": [ + 1702.348572938334, + -7572.203641559486, + 910.4008976024481, + 1166.5845409263347 + ], + "color": "#3f789e", + "flags": {} + }, + { + "id": 5, + "title": "1P SAM3 + Isolated Refine (no split needed)", + "bounding": [ + 2662.2174286933414, + -7552.792155361803, + 3860, + 370 + ], + "color": "#a05a2c", + "flags": {} + }, + { + "id": 6, + "title": "1P DEBUG mask check", + "bounding": [ + 2680, + -6634, + 780, + 360 + ], + "color": "#8a3030", + "flags": {} + } + ], + "config": {}, + "extra": { + "ds": { + "scale": 0.8954302432552613, + "offset": [ + -96.70210851502617, + 8408.77348755718 + ] + }, + "ue_links": [], + "links_added_by_ue": [], + "frontendVersion": "1.45.21", + "VHS_latentpreview": false, + "VHS_latentpreviewrate": 0, + "VHS_MetadataImage": true, + "VHS_KeepIntermediate": true + }, + "version": 0.4 +} \ No newline at end of file diff --git a/Face-Head Swap - Character LoRA + SAM3 Auto-Mask (Krea 2).txt b/Face-Head Swap - Character LoRA + SAM3 Auto-Mask (Krea 2).txt new file mode 100644 index 0000000000000000000000000000000000000000..55948c429ee9f32ed3766698656e8d57cfba9367 --- /dev/null +++ b/Face-Head Swap - Character LoRA + SAM3 Auto-Mask (Krea 2).txt @@ -0,0 +1,109 @@ +Face-Head Swap - Character LoRA + SAM3 Auto-Mask (Krea 2) + +A ComfyUI pipeline that swaps a person's head/face/hair onto an existing photo while preserving the original pose, framing, and background — using text-prompted segmentation (SAM3) + a LoRA-trained identity model on Krea2 Turbo, with a low-denoise inpaint-and-stitch step for a clean, seamless result. + +No manual masking required — you describe the target in plain text ("head, face, neck, and hair of womant") and the workflow does the rest. + +What it does - Face Swap (Very Automated) and Headswap (Requires Some Tweaking if Input image looks a lot different than character lora) + +1. Takes a single input photo (any pose). Works best with only 1 person in the photo. + +2. Uses SAM3 with a text prompt to auto-segment the target head/face/neck region — works even with multiple people in frame if you specify "left"/"right"/"man"/"woman." can work with a man and woman in the same photo, but gets confused if it's 2 women or 2 men. + +3. Crops tightly around that region (**Inpaint Crop**) so the diffusion model only has to work on the relevant area. + +4. Encodes the crop and applies a noise mask that locks in the original pose and scale. + +5. Runs it through Krea2 Turbo with your trained Character identity LoRA, at a low denoise strength — swapping identity while keeping composition intact. + +6. Stitches the refined region back into the untouched original image, so background, body, and lighting are preserved exactly. + +Requirements + +Models (place in the usual ComfyUI model folders): + +| Type | File | Used for | + +|---|---|---| + +| UNet | krea2_turbo_int8_convrot.safetensors | Base diffusion model | (Could use others) + +| CLIP | qwen3vl_4b_fp8_scaled.safetensors | Text conditioning | + +| VAE | qwen_image_vae.safetensors | Encode/decode | + +| Checkpoint | sam3.1_multiplex_fp16.safetensors | Segmentation | + +| LoRA | your trained identity LoRA (e.g. cy_krea2_lora_step_700_comfyui.safetensors) | The face you're swapping in | + +Custom nodes: + +- SAM3 nodes SAM3_Detect) + +- Inpaint Crop/Stitch nodes InpaintCropImproved, InpaintStitchImproved) + +- Standard ComfyUI core nodes (KSampler, VAE Encode/Decode, LoRA Loader, etc.) + +Hardware: tested at int8/fp8 precision — should run on consumer GPUs with ~8GB+ VRAM. (I tested on 8 gigs vram. 32 gigs ram. + +--- + +How to use + +1. Load your photo into the "Load Your Photo" node. + +2. In the SAM3 Prompt node, describe the target: e.g. head, face, neck, and hair of woman, looking forward. If there's more than one person in frame, specify which one: "man to the left" or "woman to the right". + +3. In the Identity Prompt node, use your LoRA's trigger word plus the same description: [trigger word], head, face, neck, and hair of woman, looking forward. + +4. Check the DEBUG mask preview — confirm the mask actually covers the head and isn't blank. + +5. Run the full workflow. Final output saves as krea2_single_final. + +### Tuning tips (from the original build notes) + +- Denoise (KSampler): 0.2–0.5 is the sweet spot. Lower keeps positioning locked; above ~0.5 the model starts taking more creative liberties with pose/composition. + +- Mask tightness (Grow Mask "expand"): if the head looks cut off, increase expand up to ~5. If the mask is bleeding into other areas (hair into background, etc.), use a negative value to shrink it. + +- SAM3 prompt specificity: always state gender/position when more than one person is in the photo — this is what determines which head actually gets swapped. + +--- + +## Known issues ## + +### "Left/right" in the SAM3 prompt doesn't work for two people of the same class + +SAM3's text detection matches by class description ("woman," "man"), not real spatial position. "woman on the left" correctly isolates one person when the other person is a man — but that's because gender did the filtering, not the position. With two women in frame, both match "woman" and get merged into a single mask. Best to crop input image to one person. + +### Skin tone mismatch at the seam when source and target skin tones differ a lot (e.g. LoRA identity is a different ethnicity than the source photo) + +GrowMask expand (node 5) and mask_blend_pixels on the Inpaint Crop node (node 8) aren't a simple on/off fix — they're a dial between two opposite failure modes: + +- Too low → abrupt/incomplete: the mask undersizes the actual face, so original skin tone snaps back in visibly at the edges. + +- Too high → over-blended: the feather zone gets wide enough to visibly average the two skin tones into a muddy gradient instead of a clean edge. + +There's a sweet spot in between, and it shifts per-photo depending on how much contrast there is between the original and target skin tone, and how tight the crop is around the neck/collar. The bigger the skin-tone contrast, the tighter/smaller both values generally need to be — heavy blending forgives a small mismatch but exaggerates a large one. + +Recommended process: + +1. Start with GrowMask expand ~5–8 and mask_blend_pixels ~10–15 as a baseline. + +2. Run once, check the result specifically at the jaw/neck seam. + +3. If you still see a ring of the original skin tone bleeding through → increase expand a few pixels at a time (coverage problem, not a blend problem). + +4. If the seam is fully covered but looks like a muddy gradient between the two tones → reduce mask_blend_pixels a few pixels at a time (feather problem, not a coverage problem). + +5. Re-check the DEBUG mask preview after each change. + +Also note: these settings only affect the seam right at the edge of whatever SAM3 segmented (head/face/hair/neck). Skin visible outside that mask — shoulders, chest, arms — is never touched by the workflow at all, since it was never part of the detected region to begin with. No amount of mask tuning reaches it. If your source photos show visible body below the neckline and you need that to match too, either broaden the SAM3 prompt to include it (e.g. "head, face, neck, upper chest, and shoulders") or favor tighter headshot/bust-crop source photos, which sidesteps the issue entirely and is the more common convention for head-swap workflows. + +### The mask debug image doesn't update when I just change the seed + +This is expected — not a bug. ComfyUI caches each node's output and skips re-running a node if its inputs haven't changed. Randomizing the seed only affects the KSampler; it doesn't touch the image, SAM3 prompt, threshold, or mask expand value, so the SAM3 detect → mask debug chain is correctly skipped and reused from cache. + +It'll only regenerate if you change: the input photo, the SAM3 prompt text, the threshold, or the Tighten Mask expand value. To force a fresh pass anyway, right-click the SAM3 Detect node and use its "Run" option, or nudge the prompt text and change it back. + +If you don't want the mask to save every time , just bypass that n ode, it's for easy visual testing of the sam3 masking. \ No newline at end of file diff --git a/KREA-2 (LOW VRAM WORKFLOW).json b/KREA-2 (LOW VRAM WORKFLOW).json new file mode 100644 index 0000000000000000000000000000000000000000..6e07e9fbf11bd06cb48d0c9e10e6f3f8170b8da2 --- /dev/null +++ b/KREA-2 (LOW VRAM WORKFLOW).json @@ -0,0 +1,569 @@ +{ + "id": "537262d5-2435-4124-929f-baf2eec70733", + "revision": 0, + "last_node_id": 11, + "last_link_id": 9, + "nodes": [ + { + "id": 7, + "type": "CLIPTextEncode", + "pos": [ + 80, + 4420 + ], + "size": [ + 400, + 200 + ], + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 9 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 6 + ] + } + ], + 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--git a/Krea-MultiScene-LTX-Director-Full-Pack SETUP_GUIDE.md b/Krea-MultiScene-LTX-Director-Full-Pack SETUP_GUIDE.md new file mode 100644 index 0000000000000000000000000000000000000000..61b956c44c32b1bf180d74131bb527f2421f12c1 --- /dev/null +++ b/Krea-MultiScene-LTX-Director-Full-Pack SETUP_GUIDE.md @@ -0,0 +1,302 @@ +# Krea Multi-Scene + LTX Director — Full Setup Guide (Beginner Friendly) + +**Product:** Krea Multi-Scene + LTX Director (Simple) +**Workflow file:** `Krea Multi-Scene + LTX Director (Simple).json` +**Demo result included:** `DEMO_RESULT_LTX-2.3.mp4` +**Sample stills included:** `sample_stills/multishot_1.png` … `multishot_5.png` + +This guide is written so a beginner can install **every custom node**, download **every model / LoRA**, open the workflow, and render a multi-shot video with **one consistent character**. + +--- + +## What this workflow does (plain English) + +1. You load a **character reference sheet** (4-view photo of one person). +2. You write **5–8 image prompts** (different camera angles / moments of one story). +3. The **Krea Multi-Shot Stills** node generates still images (`multishot_1.png`, `multishot_2.png`, …) with the **same face**. +4. Those stills go into **LTX Director** as a timeline (coffee shop example: arrive → enter → sit → sip → smile). +5. LTX 2.3 turns the timeline into a short **video with audio**. + +Typical demo story in this pack: **woman goes to a coffee shop, sits down, drinks coffee, enjoys it.** + +--- + +## 0) System requirements + +| Item | Recommendation | +|------|----------------| +| ComfyUI | Recent build with native **Krea 2** support (0.29+ / 0.30 tested) | +| GPU VRAM | **16 GB+** recommended for full stills + LTX Director; **12 GB** possible with fp8 + lower resolution | +| Disk space | ~80–100 GB free for the full model stack | +| OS | Windows or Linux with a working CUDA PyTorch install | +| Internet | Needed once to download models / custom nodes | + +**Tip for beginners:** First generate **stills only** (mute / bypass the LTX Director video group). When the stills look good, run the video branch. + +--- + +## 1) Install ComfyUI (if you do not have it) + +1. Install ComfyUI from the official project: https://github.com/comfyanonymous/ComfyUI +2. Start ComfyUI once so the `models/` and `custom_nodes/` folders exist. +3. Install **ComfyUI-Manager** if missing: https://github.com/ltdrdata/ComfyUI-Manager + +You will use Manager for most node installs below. + +--- + +## 2) Custom nodes (install ALL of these) + +Open ComfyUI → **Manager** → **Install Custom Nodes** (or Install via Git URL). +After installing the full list → **Restart ComfyUI**. + +| # | Pack | Why you need it | Install link | +|---|------|-----------------|--------------| +| 1 | **comfyui-multishot-plan** | `KreaMultiShotStills` — batch stills from shot prompts | https://github.com/CodingWithShahzaib/comfyui-multishot-plan | +| 2 | **comfyui-krea2edit** | `Krea2EditModelPatch`, `Krea2EditGroundedEncode` (identity lock) | https://github.com/lbouaraba/comfyui-krea2edit | +| 3 | **WhatDreamsCost-ComfyUI** | `LTXDirector`, `LTXDirectorGuide`, `LTXDirectorCropGuides` | https://github.com/WhatDreamsCost/WhatDreamsCost-ComfyUI | +| 4 | **ComfyUI-LTXVideo** | LTX 2.3 AV latent / decode / conditioning nodes | https://github.com/Lightricks/ComfyUI-LTXVideo | +| 5 | **ComfyUI-KJNodes** | `VAELoaderKJ`, LTX2 attention / NAG / preview helpers | https://github.com/kijai/ComfyUI-KJNodes | +| 6 | **ComfyUI-VideoHelperSuite** | `VHS_VideoCombine` (final MP4 export + preview) | https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite | +| 7 | **rgthree-comfy** | `Power Lora Loader`, Fast Bypasser | https://github.com/rgthree/rgthree-comfy | + +### Manual git install (if Manager fails) + +From your ComfyUI folder: + +```bash +cd custom_nodes +git clone https://github.com/CodingWithShahzaib/comfyui-multishot-plan +git clone https://github.com/lbouaraba/comfyui-krea2edit +git clone https://github.com/WhatDreamsCost/WhatDreamsCost-ComfyUI +git clone https://github.com/Lightricks/ComfyUI-LTXVideo +git clone https://github.com/kijai/ComfyUI-KJNodes +git clone https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite +git clone https://github.com/rgthree/rgthree-comfy +``` + +Then restart ComfyUI. + +### Critical version notes + +- Use **official** `WhatDreamsCost/WhatDreamsCost-ComfyUI` (not old forks). This workflow needs `LTXDirectorCropGuides`. +- Keep **KJNodes** updated so `LTX2_NAG` / attention patches exist. +- **krea2edit** should match Identity LoRA **v1.2**. + +If the graph shows **red nodes**, the pack is missing or outdated — reinstall that pack and restart. + +--- + +## 3) Models checklist (exact filenames + download links) + +Paths are relative to your ComfyUI `models/` folder. + +### A) Krea 2 — still / identity path (required) + +| File | Put in folder | Download | +|------|---------------|----------| +| `krea2_turbo_fp8_scaled.safetensors` | `models/diffusion_models/` | https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors | +| `qwen3vl_4b_fp8_scaled.safetensors` | `models/text_encoders/` | https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors | +| `qwen_image_vae.safetensors` | `models/vae/` | https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors | + +**CLIP loader must use:** +`clip_name = qwen3vl_4b_fp8_scaled.safetensors` · **`type = krea2`** + +Krea pack page: https://huggingface.co/Comfy-Org/Krea-2 + +### B) Krea LoRAs (required / recommended) + +Put under `models/loras/` (create subfolders if the path includes one). + +| File (as wired in workflow) | Strength | Role | Download | +|-----------------------------|----------|------|----------| +| `Krea2/krea2_identity_edit_v1_2.safetensors` | **1.0** | Face / identity lock (required) | https://huggingface.co/conradlocke/krea2-identity-edit/resolve/main/krea2_identity_edit_v1_2.safetensors | +| `Krea2-realism-V2.safetensors` | **1.0** | Photoreal skin / look | https://huggingface.co/RudySen/Krea2-realism-V2/resolve/main/Krea2-realism-V2.safetensors | +| `krea2filterbypass.safetensors` | **0** (optional) | Filter bypass — leave off unless you need it | Search Civitai: `krea2 filter bypass` | +| `krea2_nsfw_v2.safetensors` | **0** (optional) | NSFW LoRA — leave off for SFW demos | Search Civitai: `krea2 nsfw v2` | + +**Exact folder for identity LoRA (matches the JSON):** + +```text +models/loras/Krea2/krea2_identity_edit_v1_2.safetensors +``` + +Low-VRAM identity alternatives (same repo): +`krea2_identity_edit_v1_2_r128.safetensors` or `_r64` — rename/update the loader path if you swap. + +### C) LTX 2.3 — video / Director path (required for video) + +| File | Put in folder | Download | +|------|---------------|----------| +| `ltx/ltx-2-3-22b-dev_transformer_only_fp8_input_scaled.safetensors` | `models/diffusion_models/ltx/` | https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/diffusion_models/ltx-2-3-22b-dev_transformer_only_fp8_input_scaled.safetensors | +| Full checkpoint alternative | `models/checkpoints/` | https://huggingface.co/Lightricks/LTX-2.3-fp8/resolve/main/ltx-2.3-22b-dev-fp8.safetensors | +| `gemma_3_12B_it_fp8_scaled.safetensors` | `models/text_encoders/` | https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it_fp8_scaled.safetensors | +| `ltx-2.3_text_projection_bf16.safetensors` | `models/text_encoders/` | https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3_text_projection_bf16.safetensors | +| `vae_ltx/LTX23_video_vae_bf16.safetensors` | `models/vae/vae_ltx/` | https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_video_vae_bf16.safetensors | +| `vae_ltx/LTX23_audio_vae_bf16.safetensors` | `models/vae/vae_ltx/` | https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_audio_vae_bf16.safetensors | +| `ltx-2.3-spatial-upscaler-x2-1.1.safetensors` | `models/latent_upscale_models/` | https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors | +| `taeltx2_3.safetensors` | `models/vae/` (or `vae_approx/`) | Tiny approx VAE from Kijai LTX2.3 pack: https://huggingface.co/Kijai/LTX2.3_comfy (files named `taeltx2_3.safetensors`) | + +If a dropdown cannot find a file, the **folder or filename does not match**. Fix the path or change the dropdown to your local filename. + +### D) LTX LoRAs (wired in Power Lora Loader) + +| File (as wired) | On/Off in demo | Strength | Download | +|-----------------|----------------|----------|----------| +| `LTX/ltx-2.3-22b-distilled-lora-384-1.1.safetensors` | **ON** (via LoraLoader) | **0.75** | https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-22b-distilled-lora-384-1.1.safetensors | +| `ltx2/LTX2.3_Crisp_Enhance.safetensors` | **ON** | **0.60** | https://huggingface.co/vrgamedevgirl84/LTX_2.3_Crisp_Enhance_Style_LoRa/resolve/main/LTX2.3_Crisp_Enhance.safetensors · Civitai: https://civitai.com/models/2535622?modelVersionId=2849716 | +| `LTX/LTX-2.3-Licon-MSR-V2.safetensors` | OFF | — | Optional; leave off for photoreal multi-cut demos | +| `LTX/LTX2.3_Soft_Enhance.safetensors` | OFF | — | Soft counterpart of Crisp Enhance (same Civitai enhancers pack) | +| `LTX/Ltx2.3-Licon-VBVR-I2V-390K-R32.safetensors` | OFF | — | Optional I2V LoRA — leave off for this demo | +| `LTX/LTX2.3-IC-LORA-Dual-Character.safetensors` | OFF | — | Optional dual-character IC LoRA | + +**Exact folders that match the JSON:** + +```text +models/loras/LTX/ltx-2.3-22b-distilled-lora-384-1.1.safetensors +models/loras/ltx2/LTX2.3_Crisp_Enhance.safetensors +``` + +If your file is in a different folder, either move it or re-select it in the Power Lora Loader dropdown. + +--- + +## 4) Recommended first-run settings (do not randomize) + +### Krea Multi-Shot Stills + +| Setting | Value | +|---------|-------| +| Empty latent | **1280×720** (or another size divisible by **32**) | +| steps | 12 (turbo) | +| cfg | 1.0 | +| grounding_px | 768 | +| filename_prefix | `multishot` | +| overwrite | true (first full run) | +| regenerate_shot | **0** (all shots). Later use **1–8** to redo only one bad shot | + +### LTX Director (coffee-shop 5-shot demo) + +| Setting | Value | +|---------|-------| +| frame_rate | **24** | +| segment_lengths | `72,72,72,72,73` (~15.0 s total) | +| guide strength | `0.80` per image segment | +| divisible_by | **32** | +| Distilled LoRA | **0.75** | +| Crisp Enhance | **0.60** | +| MSR / VBVR / Soft Enhance | **OFF** | + +Total frames must be **8n + 1** for LTX (361 = 8×45 + 1). + +--- + +## 5) How to use (step by step) + +### Step A — Open the workflow + +1. Download / unzip this product. +2. In ComfyUI: **File → Open** → select + `Krea Multi-Scene + LTX Director (Simple).json` +3. Wait for models to load. Fix any red nodes (Section 2) or missing dropdown files (Section 3). + +### Step B — Load your character sheet + +1. Find the **Load Image** / character reference input. +2. Load a **4-view character sheet** (head + front + side + back). + - A sample sheet is in `sample_stills/character-sheet-brunette.png`. +3. Prefer a clean white sheet. Same outfit on the sheet = easier clothing lock in every still. + +### Step C — Write still prompts (clothes must repeat) + +Fill `shot_1` … `shot_5` (leave unused shots empty). + +**Critical:** Repeat the **same locked outfit** in every shot prompt, or clothes will change. + +Example outfit lock line: + +```text +same locked outfit: cream ribbed scoop-neck tank, light-wash high-waisted blue jeans, white sneakers, thin gold necklace, gold hoop earrings, long wavy dark brown hair, freckles, exact face identity, exact same clothes +``` + +Then describe only what changes: camera + location + action pose. + +### Step D — Generate stills + +1. Set `regenerate_shot = 0`, `overwrite = true`. +2. **Queue Prompt**. +3. Check `ComfyUI/input/multishot_1.png` … `multishot_5.png`. +4. If one shot is bad: set `regenerate_shot` to that number (e.g. `3`), queue again — only that file re-renders. + +Sample stills from our demo are included under `sample_stills/` so you can see the expected look. + +### Step E — Wire stills into LTX Director + +1. On the Director **MAIN** timeline, place **image segments** in order. +2. Assign `multishot_1.png` → shot 1, `multishot_2.png` → shot 2, etc. +3. Paste **motion-only** video prompts per segment (not full still re-descriptions). +4. Paste a short **global prompt** that locks identity + outfit. +5. Set `segment_lengths` to `72,72,72,72,73` (or your own 8n+1 total). +6. Queue the video branch. + +### Step F — Export + +`Video Combine` writes an MP4 (prefix like `LTX-2` / `LTX-Director-…`) into `ComfyUI/output/`. +Compare with the included **`DEMO_RESULT_LTX-2.3.mp4`**. + +--- + +## 6) Example prompts used for the coffee-shop demo + +### Global Director prompt + +```text +The same young woman throughout, exact face identity from the reference sheet, long wavy dark brown hair, freckles, brown eyes, cream ribbed tank, light-wash jeans, white sneakers, gold necklace and hoops. Photoreal cinematic coffee-shop scene. Hard cuts between shots. No dissolve, no morph, no blend, no outfit change, no text, no logos. +``` + +### Video prompts (one per segment) + +```text +She pauses at the cafe door, looks through the glass, then pulls the door open and steps forward. Soft push-in. City street ambience, door chime as it opens. +She walks a few steps into the warm cafe, glances toward the counter, then toward an empty booth by the window. Gentle tracking follow. Soft cafe murmur, espresso machine hiss, quiet footsteps. +She settles into the booth seat, slides slightly toward the window, and rests both hands near the latte. Static camera with a tiny push. Chair scrape, soft cafe chatter, cup clink on wood. +She lifts the cup with both hands, takes a slow sip, then lowers it a little while her eyes stay soft. Very slow push-in on her face. Quiet room tone, soft sip sound, distant espresso steam. +She lowers the cup fully, smiles softly, and looks out the window before turning back toward camera with a relaxed breath. Slow push-in. Warm cafe ambience, muted traffic outside the glass. +``` + +--- + +## 7) Troubleshooting + +| Problem | Fix | +|---------|-----| +| Red / missing node | Install the matching pack from Section 2 and restart | +| `KreaMultiShotStills` missing | Install https://github.com/CodingWithShahzaib/comfyui-multishot-plan | +| `LTXDirectorCropGuides` missing | Use official WhatDreamsCost pack (not an old fork) | +| `comfyui-krea2edit is required` | Install krea2edit, restart | +| Model not in dropdown | Wrong folder/filename; refresh or restart | +| Face changes between stills | Keep Identity LoRA @ 1.0; always write “exact face identity”; use one sheet | +| Clothes change between stills | Repeat the **same locked outfit** in every shot prompt (including close-ups) | +| One bad still | Set `regenerate_shot` to that number and queue | +| LTX artifacts / morphing on cuts | Keep MSR/VBVR OFF; guide ~0.80; hard cuts; shorter segments | +| OOM / VRAM error | Lower still resolution; use fp8; shorter total frames; close other GPU apps | +| Files not updating | `overwrite=true` or delete old `input/multishot_N.png` | + +--- + +## 8) What’s in this download + +| File | Purpose | +|------|---------| +| `Krea Multi-Scene + LTX Director (Simple).json` | Ready-to-open ComfyUI workflow | +| `SETUP_GUIDE.md` | This install + usage guide | +| `DEMO_RESULT_LTX-2.3.mp4` | Example finished video from this pipeline | +| `sample_stills/` | Example character sheet + Krea multi-shot stills | + +--- + +## 9) Brand + +**The AI BRIEF** — local ComfyUI workflows for consistent characters and multi-scene LTX video. + +Models and LoRAs are third-party downloads (Hugging Face / Civitai / Lightricks). 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"localized_name":"output_list" + }, + { + "name":"state_uid", + "label":"state_uid", + "type":"INT", + "localized_name":"state_uid" + } + ], + "size":[ + 430, + 540 + ], + "pos":[ + -1611.6573486328125, + 4.506385326385498 + ], + "widgets_values":[ + "Prompt Style - Extreme Detailed", + "18 岁甜美亚洲少女,白皙水光肌,湿发盘起,坐在铺满白色泡泡的纯白浴缸里,手轻轻拨弄泡泡,侧头微笑,目视镜头,双手比出爱心手势,四周是白色大理石瓷砖,柔和顶光从上方洒下,水光在皮肤上映出透亮光泽,纯欲风写真,画面干净明亮,冷白调柔光,皮肤质感通透细腻,8K 高清人像,", + "# Krea 2 独立模板:一句话变英文 Prompt\n\n> 启动词:`#Krea2需求转Prompt` \n> 作用:把一句中文需求变成一段可直接复制到 Krea 2 的英文长提示词。 \n> 硬规则:最终只输出 Prompt 本身,不输出标题、解释、参数、拆解、表格、Markdown 代码块。\n\n---\n\n## 1. 调用方式\n\n```text\n#Krea2需求转Prompt:{一句中文需求}\n```\n\n或:\n\n```markdown\n#Krea2需求转Prompt\n需求:\n用途:\n画幅:\n风格:\n必须出现:\n必须避免:\n```\n\n---\n\n## 2. 最终输出硬规则\n\n调用本模板后,最终回答只能是一段英文 Prompt。\n\n禁止输出:\n\n- `## 判断`\n- `推荐设置`\n- `中文拆解`\n- `下一轮建议`\n- `Mode / Model / Creativity`\n- 表格\n- 解释\n- Markdown 代码块\n- 项目符号\n\n最终输出只允许:\n\n```text\n一整段英文 Prompt\n```\n\n长度要求:\n\n```text\n最终英文 Prompt 不少于 500 个英文单词。\n建议长度:500-750 个英文单词。\n如果用户明确要求更短,仍不得低于 500 个英文单词,除非用户再次明确要求压缩。\n```\n\n---\n\n## 3. 内部工作流\n\n收到用户一句中文需求后,内部执行以下步骤,但不要把步骤输出给用户:\n\n```text\n1. 判断主体是什么。\n2. 判断用途和画幅。\n3. 判断场景、时间、天气、环境。\n4. 判断构图、镜头距离、视角、主体占比。\n5. 判断光线类型、方向、软硬、色温、对比度。\n6. 判断情绪和商业目的。\n7. 判断图像媒介:摄影、产品摄影、电影剧照、动漫插画、概念艺术、建筑摄影。\n8. 补充材质、颜色、纹理、背景、前景、技术细节。\n9. 加入必要限制:no text, no logo, no watermark, no distorted anatomy, no clutter。\n10. 合并成一段自然流畅的英文长 Prompt。\n```\n\n---\n\n## 4. 内容占比分配\n\n最终 500+ 英文单词 Prompt 的信息量按下面比例分配。\n\n| 内容模块 | 占比 | 要写什么 |\n|---|---:|---|\n| 主体细节 | 20% | 主体身份、形态、数量、动作、状态、比例、关键特征 |\n| 场景环境 | 15% | 地点、时间、天气、背景、前景、空间层次 |\n| 构图镜头 | 15% | 画幅、镜头距离、视角、主体占比、焦点、留白 |\n| 光线影调 | 15% | 光源方向、软硬、色温、阴影、反射、对比度 |\n| 风格媒介 | 10% | 摄影 / 电影 / 产品 / 动漫 / 概念艺术 / 建筑摄影 |\n| 材质色彩 | 15% | 材质、纹理、色彩系统、表面反光、颗粒 |\n| 质量限制 | 10% | 清晰度、无文字、无 logo、无水印、避免错误 |\n\n---\n\n## 5. Prompt 结构\n\n最终英文 Prompt 应该是一段完整自然语言,不要分条。\n\n基础结构:\n\n```text\nCreate a {image type} featuring {main subject} ... The subject is ... The scene takes place ... The composition uses ... The lighting should ... The mood feels ... The visual style is ... Materials and colors include ... Technical qualities should include ... Avoid ...\n```\n\n不要写成:\n\n```text\nSubject: ...\nScene: ...\nLighting: ...\n```\n\n因为最终输出只能是一段可复制的 Prompt。\n\n---\n\n## 6. 场景识别词库\n\n根据用户中文需求自动选择英文表达。\n\n| 中文需求 | 英文视觉表达 |\n|---|---|\n| 高级 | premium, refined, restrained, elegant, clean commercial finish |\n| 电影感 | cinematic still, dramatic framing, controlled contrast, atmospheric depth |\n| 科技感 | futuristic design, cool rim light, clean geometry, metallic surfaces |\n| 商业感 | commercial photography, crisp focus, polished lighting, product clarity |\n| 真实 | photorealistic, natural texture, realistic lighting, believable scale |\n| 干净 | minimal background, clear silhouette, uncluttered composition |\n| 温暖 | warm light, soft shadows, inviting atmosphere, gentle color palette |\n| 复古 | muted film colors, subtle grain, analog texture, nostalgic tone |\n| 酷炫 | bold composition, strong lighting contrast, dynamic visual impact |\n| 梦幻 | soft glow, atmospheric haze, delicate highlights, ethereal mood |\n| 日系 | soft daylight, quiet emotional tone, delicate background details |\n| 赛博朋克 | neon reflections, rainy streets, dense urban detail, cool magenta-blue palette |\n\n---\n\n## 7. 用途适配规则\n\n### 产品图\n\nPrompt 必须强调:\n\n- product shape accuracy\n- commercial product photography\n- clean background\n- crisp focus\n- material detail\n- no text, no logo\n\n### 短视频封面\n\nPrompt 必须强调:\n\n- vertical composition\n- strong central subject\n- high visual impact\n- readable silhouette\n- dramatic lighting\n- optional empty space for title, but no actual text\n\n### 人像\n\nPrompt 必须强调:\n\n- face clarity\n- natural anatomy\n- pose and expression\n- skin texture\n- lens and depth of field\n- no distorted hands or facial features\n\n### 建筑室内\n\nPrompt 必须强调:\n\n- straight vertical lines\n- spatial layout\n- realistic materials\n- daylight direction\n- clean editorial composition\n\n### 动漫插画\n\nPrompt 必须强调:\n\n- character design\n- scene storytelling\n- cel shading or clean linework\n- background detail\n- emotional atmosphere\n\n### 概念艺术\n\nPrompt 必须强调:\n\n- worldbuilding\n- scale\n- atmosphere\n- cinematic composition\n- environmental storytelling\n\n---\n\n## 8. 最终 Prompt 示例\n\n用户输入:\n\n```text\n#Krea2需求转Prompt:做一张 9:16 的短视频封面,一个未来感机器人站在雨夜城市街头,要电影感\n```\n\n下面是结构示意,真实调用时必须扩展到不少于 500 个英文单词,并且不要附加任何解释:\n\nCreate a vertical 9:16 cinematic cover image featuring a futuristic humanoid robot standing alone on a rainy city street at night, designed as a high-impact short-video thumbnail with a strong central silhouette and immediate visual readability. The robot should appear full body or slightly three-quarter body, occupying the central portion of the frame with enough negative space around the upper area for possible title placement, but do not include any actual text, captions, symbols, logos, or watermarks. Its body should combine sleek brushed metal panels, dark graphite armor plates, subtle exposed mechanical joints, translucent illuminated details, and small blue status lights embedded into the chest, neck, and forearms. The posture should feel calm but powerful, with the robot standing upright, shoulders squared, head slightly tilted downward toward the viewer, as if it has just emerged from the storm. The street environment should be dense but not cluttered, with wet asphalt, shallow puddles, rain streaks, blurred neon storefronts, distant traffic lights, reflective glass facades, steam rising from vents, and a deep urban background that fades into atmospheric mist. Use a low camera angle at street level to make the robot feel tall and imposing, with a cinematic perspective that leads the eye from the reflective puddles in the foreground up to the robot and then into the glowing city depth behind it. Lighting should be low-key and dramatic, driven by cool blue rim light from one side, subtle magenta neon reflections from the opposite side, faint white highlights along the robot’s metal edges, and soft diffused rain glow in the background. The color palette should stay controlled: deep black, graphite gray, electric blue, muted cyan, restrained magenta, and small silver highlights, avoiding overly saturated rainbow colors. The mood should feel mysterious, tense, futuristic, cinematic, and premium rather than chaotic. Render it as photorealistic sci-fi photography with the texture of a high-end movie still, crisp focus on the robot’s face and torso, realistic raindrops on metal surfaces, believable reflections on the ground, subtle motion blur only in distant background lights, volumetric mist, shallow atmospheric depth, clean readable composition, no distorted anatomy, no extra limbs, no messy wires, no random text, no brand marks, no watermark, no cartoon style, no flat illustration, no overexposed highlights, no low-resolution artifacts.\n\n---\n\n## 9. 500 词扩写库\n\n当用户需求过短时,用下面模块扩写最终 Prompt。扩写只进入最终英文 Prompt,不以清单形式输出。\n\n主体扩写:写清主体的形状、比例、数量、动作、状态、表面细节、视觉优先级、与环境的关系,以及缩略图尺寸下是否仍然清晰可读。\n\n场景扩写:写清前景、中景、背景、空间深度、天气、时间、环境材质、反射、雾气、背景密度,以及哪些环境元素只做氛围不要抢主体。\n\n构图扩写:写清画幅、镜头高度、视角、主体占画面比例、居中或偏置、留白、引导线、焦点层级、裁切边界和画面重心。\n\n光线扩写:写清主光、辅光、轮廓光、阴影软硬、色温、对比度、反射控制、高光范围、低光区域,以及光线如何服务主体。\n\n材质扩写:写清 matte、glossy、brushed、translucent、ceramic、glass、metal、fabric、skin、wood、stone 等表面质感,以及细微划痕、边缘高光、纹理颗粒、真实瑕疵。\n\n限制扩写:按场景加入 no text, no logo, no watermark, no distorted anatomy, no extra limbs, no unreadable symbols, no random objects, no clutter, no low-resolution artifacts, no overexposed highlights。\n\n---\n\n## 10. 最终输出自检\n\n输出前内部检查,不要把检查结果输出:\n\n```text\n是否只有一段英文 Prompt?\n是否没有标题、解释、参数、表格、Markdown 代码块?\n是否不少于 500 个英文单词?\n是否详细写了主体、场景、构图、光线、风格、材质、限制?\n是否能直接复制到 Krea 2?\n```\n\n---\n\n## 11. 复制给 AI 的执行指令\n\n```markdown\n你是 `#Krea2需求转Prompt` 模板。\n\n当我调用该启动词时,你只输出一段英文 Prompt。\n不要输出标题、解释、参数、表格、拆解、Markdown 代码块或任何说明。\n最终英文 Prompt 不少于 500 个英文单词。\n你需要内部拆解主体、场景、构图、光线、情绪、风格媒介、材质色彩、技术细节和限制词,但不要把拆解过程输出。\n最终 Prompt 必须详细、自然、可直接复制到 Krea 2。\n```\n\n---\n\n## 12. 真实 500+ 词完整输出样例\n\n本节是长度标准参考。真实调用时,最终仍然只输出英文 Prompt,不输出本节标题。\n\nCreate a vertical 9:16 cinematic cover image featuring a futuristic humanoid robot standing alone on a rain-soaked city street at night, designed as a high-impact short-video thumbnail with a strong central silhouette, clear visual hierarchy, and immediate readability on a mobile screen. The robot should appear full body or slightly three-quarter body, placed near the center of the composition, occupying roughly sixty percent of the image height while leaving controlled negative space in the upper third for possible title placement, but do not include any actual text, typography, captions, symbols, brand marks, logos, or watermarks. Its design should combine sleek brushed metal panels, dark graphite armor plates, subtle exposed mechanical joints, translucent illuminated seams, small blue status lights embedded in the chest, neck, wrists, and forearms, and refined industrial details that feel engineered rather than decorative. The posture should feel calm, powerful, and slightly threatening, with squared shoulders, a stable stance, relaxed mechanical hands, and the head tilted just enough to suggest awareness of the viewer. The environment should be a dense but readable rainy urban street with wet asphalt, shallow puddles, blurred neon storefronts, distant traffic lights, reflective glass facades, steam rising from street vents, thin rain streaks catching light, and a deep background that fades into atmospheric mist without becoming visually cluttered. Use a low camera angle close to street level so the robot feels tall and imposing, with subtle leading lines from the curb, pavement reflections, crosswalk markings, and building edges guiding the eye toward the figure. Lighting should be low-key and cinematic, driven by a cool blue rim light from one side, restrained magenta neon reflections from the opposite side, soft diffused rain glow in the background, and small white highlights along the metal edges to reveal form. Shadows should be deep but not muddy, with enough front detail to keep the robot’s face, chest, and hands readable. The color palette should remain controlled: deep black, graphite gray, muted cyan, electric blue, restrained magenta, wet pavement silver, and small white specular highlights, avoiding rainbow neon chaos or excessive saturation. Add small believable details that enrich the scene without distracting from the robot, such as droplets clinging to armor seams, shallow ripples in puddles, faint reflections of passing vehicle lights, tiny scratches on metal panels, moisture gathering along mechanical joints, and distant silhouettes of buildings softened by rain haze. The background should suggest a larger futuristic city, but it must remain subordinate to the central figure through softened edges, atmospheric perspective, and restrained detail density. Render the image as photorealistic sci-fi movie-still photography with realistic raindrops on metal surfaces, believable reflections, crisp focus on the robot’s head and torso, subtle atmospheric depth, slight background motion blur only in distant lights, volumetric mist, clean edges, and a premium cinematic finish. Avoid distorted anatomy, extra limbs, messy wires, random floating objects, unreadable markings, visible text, logos, watermarks, cartoon style, flat illustration, overexposed highlights, low-resolution artifacts, cluttered background props, plastic materials, badly aligned joints, and any element that weakens the strong central cover composition.\n\n---\n\n## 附录:结构示意样例(非长度标准)\n\n下面样例用于校准输出密度。真实调用时,最终回答仍然只能输出英文 Prompt 本身,不要输出本节标题。\n\nCreate a vertical 9:16 cinematic cover image featuring a futuristic humanoid robot standing alone on a rain-soaked city street at night, designed as a high-impact short-video thumbnail with a strong central silhouette, clear visual hierarchy, and immediate readability on a mobile screen. The robot should appear full body or slightly three-quarter body, placed near the center of the composition, occupying roughly sixty percent of the image height while leaving controlled negative space in the upper third for possible title placement, but do not include any actual text, typography, captions, symbols, brand marks, logos, or watermarks. Its design should combine sleek brushed metal panels, dark graphite armor plates, subtle exposed mechanical joints, translucent illuminated seams, small blue status lights embedded in the chest and forearms, and refined industrial details that feel engineered rather than decorative. The posture should feel calm, powerful, and slightly threatening, with squared shoulders, a stable stance, and the head tilted just enough to suggest awareness of the viewer. The environment should be a dense but readable rainy urban street with wet asphalt, shallow puddles, blurred neon storefronts, distant traffic lights, reflective glass facades, steam rising from street vents, thin rain streaks catching light, and a deep background that fades into atmospheric mist without becoming visually cluttered. Use a low camera angle close to street level so the robot feels tall and imposing, with subtle leading lines from the curb, pavement reflections, and building edges guiding the eye toward the figure. Lighting should be low-key and cinematic, driven by a cool blue rim light from one side, restrained magenta neon reflections from the opposite side, soft diffused rain glow in the background, and small white highlights along the metal edges to reveal form. Shadows should be deep but not muddy, with enough front detail to keep the robot’s face and torso readable. The color palette should remain controlled: deep black, graphite gray, muted cyan, electric blue, restrained magenta, silver highlights, and wet pavement reflections, avoiding rainbow neon chaos or excessive saturation. Render the image as photorealistic sci-fi movie-still photography with realistic raindrops on metal surfaces, believable reflections, crisp focus on the robot’s head and chest, subtle atmospheric depth, slight background motion blur only in distant lights, volumetric mist, clean edges, and a premium cinematic finish. 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exactly like the one in Figure 2.`\n* **中文含义**: 保持角色的外貌与图2中的人物完全一致。\n\"\"\"\nprint(\"Clean format generated\")" + ], + "inputs":[ + + ], + "flags":{ + + }, + "type":"Note", + "mode":0, + "bgcolor":"#653", + "size":[ + 400.7869567871094, + 465.6686096191406 + ], + "pos":[ + 215.10040283203125, + 1107.3861083984375 + ], + "id":230, + "properties":{ + "widget_ue_connectable":{ + + } + }, + "order":4 + } + ], + "extra":{ + "links_added_by_ue":[ + + ], + "VHS_KeepIntermediate":true, + "KKvideo_latentpreview":false, + "ue_links":[ + + ], + "VHS_MetadataImage":true, + "KKvideo_latentpreviewrate":0, + "0246.VERSION":[ + 0, + 0, + 4 + ], + "pixaromaGroups":[ + + ], + "VHS_latentpreviewrate":0, + "frontendVersion":"1.47.12", + "VHS_latentpreview":false, + "ds":{ + "offset":[ + -259.6320352081751, + -815.4056199032343 + ], + "scale":0.6588450000000011 + } + }, + "groups":[ + { + "color":"#3f789e", + "font_size":24, + "flags":{ + + }, + "id":2, + "title":"anything2realC", + "bounding":[ + 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"label":"state_uid", + "type":"INT", + "localized_name":"state_uid" + } + ], + "size":[ + 426.88995361328125, + 469.50555419921875 + ], + "pos":[ + -1620, + 20 + ], + "widgets_values":[ + "Prompt Style - Extreme Detailed", + "年轻女性时尚肖像,自然柔光打光,浅景深焦外虚化,皮肤质感细腻通透,发丝根根分明,极简米灰色纯色背景,高级感极简穿搭,时尚杂志封面风格,8K 超高清,专业人像摄影,面部光影柔和,五官精致立体,色彩自然低饱和,电影级质感", + "# Krea 2 独立模板:一句话变英文 Prompt\n\n> 启动词:`#Krea2需求转Prompt` \n> 作用:把一句中文需求变成一段可直接复制到 Krea 2 的英文长提示词。 \n> 硬规则:最终只输出 Prompt 本身,不输出标题、解释、参数、拆解、表格、Markdown 代码块。\n\n---\n\n## 1. 调用方式\n\n```text\n#Krea2需求转Prompt:{一句中文需求}\n```\n\n或:\n\n```markdown\n#Krea2需求转Prompt\n需求:\n用途:\n画幅:\n风格:\n必须出现:\n必须避免:\n```\n\n---\n\n## 2. 最终输出硬规则\n\n调用本模板后,最终回答只能是一段英文 Prompt。\n\n禁止输出:\n\n- `## 判断`\n- `推荐设置`\n- `中文拆解`\n- `下一轮建议`\n- `Mode / Model / Creativity`\n- 表格\n- 解释\n- Markdown 代码块\n- 项目符号\n\n最终输出只允许:\n\n```text\n一整段英文 Prompt\n```\n\n长度要求:\n\n```text\n最终英文 Prompt 不少于 500 个英文单词。\n建议长度:500-750 个英文单词。\n如果用户明确要求更短,仍不得低于 500 个英文单词,除非用户再次明确要求压缩。\n```\n\n---\n\n## 3. 内部工作流\n\n收到用户一句中文需求后,内部执行以下步骤,但不要把步骤输出给用户:\n\n```text\n1. 判断主体是什么。\n2. 判断用途和画幅。\n3. 判断场景、时间、天气、环境。\n4. 判断构图、镜头距离、视角、主体占比。\n5. 判断光线类型、方向、软硬、色温、对比度。\n6. 判断情绪和商业目的。\n7. 判断图像媒介:摄影、产品摄影、电影剧照、动漫插画、概念艺术、建筑摄影。\n8. 补充材质、颜色、纹理、背景、前景、技术细节。\n9. 加入必要限制:no text, no logo, no watermark, no distorted anatomy, no clutter。\n10. 合并成一段自然流畅的英文长 Prompt。\n```\n\n---\n\n## 4. 内容占比分配\n\n最终 500+ 英文单词 Prompt 的信息量按下面比例分配。\n\n| 内容模块 | 占比 | 要写什么 |\n|---|---:|---|\n| 主体细节 | 20% | 主体身份、形态、数量、动作、状态、比例、关键特征 |\n| 场景环境 | 15% | 地点、时间、天气、背景、前景、空间层次 |\n| 构图镜头 | 15% | 画幅、镜头距离、视角、主体占比、焦点、留白 |\n| 光线影调 | 15% | 光源方向、软硬、色温、阴影、反射、对比度 |\n| 风格媒介 | 10% | 摄影 / 电影 / 产品 / 动漫 / 概念艺术 / 建筑摄影 |\n| 材质色彩 | 15% | 材质、纹理、色彩系统、表面反光、颗粒 |\n| 质量限制 | 10% | 清晰度、无文字、无 logo、无水印、避免错误 |\n\n---\n\n## 5. Prompt 结构\n\n最终英文 Prompt 应该是一段完整自然语言,不要分条。\n\n基础结构:\n\n```text\nCreate a {image type} featuring {main subject} ... The subject is ... The scene takes place ... The composition uses ... The lighting should ... The mood feels ... The visual style is ... Materials and colors include ... Technical qualities should include ... Avoid ...\n```\n\n不要写成:\n\n```text\nSubject: ...\nScene: ...\nLighting: ...\n```\n\n因为最终输出只能是一段可复制的 Prompt。\n\n---\n\n## 6. 场景识别词库\n\n根据用户中文需求自动选择英文表达。\n\n| 中文需求 | 英文视觉表达 |\n|---|---|\n| 高级 | premium, refined, restrained, elegant, clean commercial finish |\n| 电影感 | cinematic still, dramatic framing, controlled contrast, atmospheric depth |\n| 科技感 | futuristic design, cool rim light, clean geometry, metallic surfaces |\n| 商业感 | commercial photography, crisp focus, polished lighting, product clarity |\n| 真实 | photorealistic, natural texture, realistic lighting, believable scale |\n| 干净 | minimal background, clear silhouette, uncluttered composition |\n| 温暖 | warm light, soft shadows, inviting atmosphere, gentle color palette |\n| 复古 | muted film colors, subtle grain, analog texture, nostalgic tone |\n| 酷炫 | bold composition, strong lighting contrast, dynamic visual impact |\n| 梦幻 | soft glow, atmospheric haze, delicate highlights, ethereal mood |\n| 日系 | soft daylight, quiet emotional tone, delicate background details |\n| 赛博朋克 | neon reflections, rainy streets, dense urban detail, cool magenta-blue palette |\n\n---\n\n## 7. 用途适配规则\n\n### 产品图\n\nPrompt 必须强调:\n\n- product shape accuracy\n- commercial product photography\n- clean background\n- crisp focus\n- material detail\n- no text, no logo\n\n### 短视频封面\n\nPrompt 必须强调:\n\n- vertical composition\n- strong central subject\n- high visual impact\n- readable silhouette\n- dramatic lighting\n- optional empty space for title, but no actual text\n\n### 人像\n\nPrompt 必须强调:\n\n- face clarity\n- natural anatomy\n- pose and expression\n- skin texture\n- lens and depth of field\n- no distorted hands or facial features\n\n### 建筑室内\n\nPrompt 必须强调:\n\n- straight vertical lines\n- spatial layout\n- realistic materials\n- daylight direction\n- clean editorial composition\n\n### 动漫插画\n\nPrompt 必须强调:\n\n- character design\n- scene storytelling\n- cel shading or clean linework\n- background detail\n- emotional atmosphere\n\n### 概念艺术\n\nPrompt 必须强调:\n\n- worldbuilding\n- scale\n- atmosphere\n- cinematic composition\n- environmental storytelling\n\n---\n\n## 8. 最终 Prompt 示例\n\n用户输入:\n\n```text\n#Krea2需求转Prompt:做一张 9:16 的短视频封面,一个未来感机器人站在雨夜城市街头,要电影感\n```\n\n下面是结构示意,真实调用时必须扩展到不少于 500 个英文单词,并且不要附加任何解释:\n\nCreate a vertical 9:16 cinematic cover image featuring a futuristic humanoid robot standing alone on a rainy city street at night, designed as a high-impact short-video thumbnail with a strong central silhouette and immediate visual readability. The robot should appear full body or slightly three-quarter body, occupying the central portion of the frame with enough negative space around the upper area for possible title placement, but do not include any actual text, captions, symbols, logos, or watermarks. Its body should combine sleek brushed metal panels, dark graphite armor plates, subtle exposed mechanical joints, translucent illuminated details, and small blue status lights embedded into the chest, neck, and forearms. The posture should feel calm but powerful, with the robot standing upright, shoulders squared, head slightly tilted downward toward the viewer, as if it has just emerged from the storm. The street environment should be dense but not cluttered, with wet asphalt, shallow puddles, rain streaks, blurred neon storefronts, distant traffic lights, reflective glass facades, steam rising from vents, and a deep urban background that fades into atmospheric mist. Use a low camera angle at street level to make the robot feel tall and imposing, with a cinematic perspective that leads the eye from the reflective puddles in the foreground up to the robot and then into the glowing city depth behind it. Lighting should be low-key and dramatic, driven by cool blue rim light from one side, subtle magenta neon reflections from the opposite side, faint white highlights along the robot’s metal edges, and soft diffused rain glow in the background. The color palette should stay controlled: deep black, graphite gray, electric blue, muted cyan, restrained magenta, and small silver highlights, avoiding overly saturated rainbow colors. The mood should feel mysterious, tense, futuristic, cinematic, and premium rather than chaotic. Render it as photorealistic sci-fi photography with the texture of a high-end movie still, crisp focus on the robot’s face and torso, realistic raindrops on metal surfaces, believable reflections on the ground, subtle motion blur only in distant background lights, volumetric mist, shallow atmospheric depth, clean readable composition, no distorted anatomy, no extra limbs, no messy wires, no random text, no brand marks, no watermark, no cartoon style, no flat illustration, no overexposed highlights, no low-resolution artifacts.\n\n---\n\n## 9. 500 词扩写库\n\n当用户需求过短时,用下面模块扩写最终 Prompt。扩写只进入最终英文 Prompt,不以清单形式输出。\n\n主体扩写:写清主体的形状、比例、数量、动作、状态、表面细节、视觉优先级、与环境的关系,以及缩略图尺寸下是否仍然清晰可读。\n\n场景扩写:写清前景、中景、背景、空间深度、天气、时间、环境材质、反射、雾气、背景密度,以及哪些环境元素只做氛围不要抢主体。\n\n构图扩写:写清画幅、镜头高度、视角、主体占画面比例、居中或偏置、留白、引导线、焦点层级、裁切边界和画面重心。\n\n光线扩写:写清主光、辅光、轮廓光、阴影软硬、色温、对比度、反射控制、高光范围、低光区域,以及光线如何服务主体。\n\n材质扩写:写清 matte、glossy、brushed、translucent、ceramic、glass、metal、fabric、skin、wood、stone 等表面质感,以及细微划痕、边缘高光、纹理颗粒、真实瑕疵。\n\n限制扩写:按场景加入 no text, no logo, no watermark, no distorted anatomy, no extra limbs, no unreadable symbols, no random objects, no clutter, no low-resolution artifacts, no overexposed highlights。\n\n---\n\n## 10. 最终输出自检\n\n输出前内部检查,不要把检查结果输出:\n\n```text\n是否只有一段英文 Prompt?\n是否没有标题、解释、参数、表格、Markdown 代码块?\n是否不少于 500 个英文单词?\n是否详细写了主体、场景、构图、光线、风格、材质、限制?\n是否能直接复制到 Krea 2?\n```\n\n---\n\n## 11. 复制给 AI 的执行指令\n\n```markdown\n你是 `#Krea2需求转Prompt` 模板。\n\n当我调用该启动词时,你只输出一段英文 Prompt。\n不要输出标题、解释、参数、表格、拆解、Markdown 代码块或任何说明。\n最终英文 Prompt 不少于 500 个英文单词。\n你需要内部拆解主体、场景、构图、光线、情绪、风格媒介、材质色彩、技术细节和限制词,但不要把拆解过程输出。\n最终 Prompt 必须详细、自然、可直接复制到 Krea 2。\n```\n\n---\n\n## 12. 真实 500+ 词完整输出样例\n\n本节是长度标准参考。真实调用时,最终仍然只输出英文 Prompt,不输出本节标题。\n\nCreate a vertical 9:16 cinematic cover image featuring a futuristic humanoid robot standing alone on a rain-soaked city street at night, designed as a high-impact short-video thumbnail with a strong central silhouette, clear visual hierarchy, and immediate readability on a mobile screen. The robot should appear full body or slightly three-quarter body, placed near the center of the composition, occupying roughly sixty percent of the image height while leaving controlled negative space in the upper third for possible title placement, but do not include any actual text, typography, captions, symbols, brand marks, logos, or watermarks. Its design should combine sleek brushed metal panels, dark graphite armor plates, subtle exposed mechanical joints, translucent illuminated seams, small blue status lights embedded in the chest, neck, wrists, and forearms, and refined industrial details that feel engineered rather than decorative. The posture should feel calm, powerful, and slightly threatening, with squared shoulders, a stable stance, relaxed mechanical hands, and the head tilted just enough to suggest awareness of the viewer. The environment should be a dense but readable rainy urban street with wet asphalt, shallow puddles, blurred neon storefronts, distant traffic lights, reflective glass facades, steam rising from street vents, thin rain streaks catching light, and a deep background that fades into atmospheric mist without becoming visually cluttered. Use a low camera angle close to street level so the robot feels tall and imposing, with subtle leading lines from the curb, pavement reflections, crosswalk markings, and building edges guiding the eye toward the figure. Lighting should be low-key and cinematic, driven by a cool blue rim light from one side, restrained magenta neon reflections from the opposite side, soft diffused rain glow in the background, and small white highlights along the metal edges to reveal form. Shadows should be deep but not muddy, with enough front detail to keep the robot’s face, chest, and hands readable. The color palette should remain controlled: deep black, graphite gray, muted cyan, electric blue, restrained magenta, wet pavement silver, and small white specular highlights, avoiding rainbow neon chaos or excessive saturation. Add small believable details that enrich the scene without distracting from the robot, such as droplets clinging to armor seams, shallow ripples in puddles, faint reflections of passing vehicle lights, tiny scratches on metal panels, moisture gathering along mechanical joints, and distant silhouettes of buildings softened by rain haze. The background should suggest a larger futuristic city, but it must remain subordinate to the central figure through softened edges, atmospheric perspective, and restrained detail density. Render the image as photorealistic sci-fi movie-still photography with realistic raindrops on metal surfaces, believable reflections, crisp focus on the robot’s head and torso, subtle atmospheric depth, slight background motion blur only in distant lights, volumetric mist, clean edges, and a premium cinematic finish. Avoid distorted anatomy, extra limbs, messy wires, random floating objects, unreadable markings, visible text, logos, watermarks, cartoon style, flat illustration, overexposed highlights, low-resolution artifacts, cluttered background props, plastic materials, badly aligned joints, and any element that weakens the strong central cover composition.\n\n---\n\n## 附录:结构示意样例(非长度标准)\n\n下面样例用于校准输出密度。真实调用时,最终回答仍然只能输出英文 Prompt 本身,不要输出本节标题。\n\nCreate a vertical 9:16 cinematic cover image featuring a futuristic humanoid robot standing alone on a rain-soaked city street at night, designed as a high-impact short-video thumbnail with a strong central silhouette, clear visual hierarchy, and immediate readability on a mobile screen. The robot should appear full body or slightly three-quarter body, placed near the center of the composition, occupying roughly sixty percent of the image height while leaving controlled negative space in the upper third for possible title placement, but do not include any actual text, typography, captions, symbols, brand marks, logos, or watermarks. Its design should combine sleek brushed metal panels, dark graphite armor plates, subtle exposed mechanical joints, translucent illuminated seams, small blue status lights embedded in the chest and forearms, and refined industrial details that feel engineered rather than decorative. The posture should feel calm, powerful, and slightly threatening, with squared shoulders, a stable stance, and the head tilted just enough to suggest awareness of the viewer. The environment should be a dense but readable rainy urban street with wet asphalt, shallow puddles, blurred neon storefronts, distant traffic lights, reflective glass facades, steam rising from street vents, thin rain streaks catching light, and a deep background that fades into atmospheric mist without becoming visually cluttered. Use a low camera angle close to street level so the robot feels tall and imposing, with subtle leading lines from the curb, pavement reflections, and building edges guiding the eye toward the figure. Lighting should be low-key and cinematic, driven by a cool blue rim light from one side, restrained magenta neon reflections from the opposite side, soft diffused rain glow in the background, and small white highlights along the metal edges to reveal form. Shadows should be deep but not muddy, with enough front detail to keep the robot’s face and torso readable. The color palette should remain controlled: deep black, graphite gray, muted cyan, electric blue, restrained magenta, silver highlights, and wet pavement reflections, avoiding rainbow neon chaos or excessive saturation. Render the image as photorealistic sci-fi movie-still photography with realistic raindrops on metal surfaces, believable reflections, crisp focus on the robot’s head and chest, subtle atmospheric depth, slight background motion blur only in distant lights, volumetric mist, clean edges, and a premium cinematic finish. 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"version": 0.4 +} \ No newline at end of file diff --git a/Q5VT334R5WMT1R69FJP5Y8ZZC0.png b/Q5VT334R5WMT1R69FJP5Y8ZZC0.png new file mode 100644 index 0000000000000000000000000000000000000000..db6395a7740f06a614e5f745437bdb2cfe88e5c1 --- /dev/null +++ b/Q5VT334R5WMT1R69FJP5Y8ZZC0.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:35a43208017b28e89b8d921f37cf478ff12e7805cf0eeb1258fb67a514087760 +size 3012754 diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..52068233d97b22a605329b6db44c53465f998c38 --- /dev/null +++ b/README.md @@ -0,0 +1,3 @@ +Various workflows I found that run Krea2, most of them from Civitai. + +This is just a backup, all credits to the creators. \ No newline at end of file diff --git a/Sick Ollie Creator Kit Studio v5.0 - Krea2.zip b/Sick Ollie Creator Kit Studio v5.0 - Krea2.zip new file mode 100644 index 0000000000000000000000000000000000000000..65fdbfed3c1c528444ed963d6aaf744d87e7b2ee --- /dev/null +++ b/Sick Ollie Creator Kit Studio v5.0 - Krea2.zip @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:760cdc3e26dd3e5ab859515b4a36673c5be816bad6ad3824e2e2397223a378bc +size 74133534 diff --git a/The Cinematic AI Filmmaker.pdf b/The Cinematic AI Filmmaker.pdf new file mode 100644 index 0000000000000000000000000000000000000000..5d864561b24861ae616071d3cce8d1a0298c7727 --- /dev/null +++ b/The Cinematic AI Filmmaker.pdf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4d63080f5865f58e21255040e8e90456381f20ac6c293e47ecfcfec555cf6f95 +size 1831835 diff --git a/UniflexKrea2AIOBGRemovalSAM_120.zip b/UniflexKrea2AIOBGRemovalSAM_120.zip new file mode 100644 index 0000000000000000000000000000000000000000..c97de3523aa4c5b3d23f5adf6edc1632adecb555 --- /dev/null +++ b/UniflexKrea2AIOBGRemovalSAM_120.zip @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b1ffbd6036e4e12bc3da04113c392c3cea470cc89e283cf93738039185ae2fa0 +size 1968302 diff --git a/VELVET_VICE_KREA2_VISION_PROMPTER_v2.0.5.json b/VELVET_VICE_KREA2_VISION_PROMPTER_v2.0.5.json new file mode 100644 index 0000000000000000000000000000000000000000..cfe95dc8a2cc4e4f46314b21a6236f5061dc704d --- /dev/null +++ b/VELVET_VICE_KREA2_VISION_PROMPTER_v2.0.5.json @@ -0,0 +1 @@ +{"id":"95383c4f-cb44-4b59-81b5-093ba7df6986","revision":30,"last_node_id":364,"last_link_id":740,"nodes":[{"id":3,"type":"VelvetViceKreaModelLoader","pos":[750,65],"size":[330,95],"flags":{"pinned":true},"order":0,"mode":0,"inputs":[],"outputs":[{"name":"MODEL","type":"MODEL","links":[635]}],"title":"KREA 2 TURBO MODEL","properties":{"Node name for S&R":"VelvetViceKreaModelLoader","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"LOAD","vvk_badge":"LOAD","cnr_id":"velvet-vice-krea","ver":"2.0.5"},"widgets_values":["SELECT KREA 2 MODEL","default"],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":4,"type":"CLIPLoader","pos":[750,195],"size":[330,120],"flags":{"pinned":true},"order":1,"mode":0,"inputs":[],"outputs":[{"name":"CLIP","type":"CLIP","links":[636]}],"title":"QWEN3-VL TEXT ENCODER","properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"CLIPLoader","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"LOAD","vvk_badge":"LOAD"},"widgets_values":["qwen3vl_4b_bf16.safetensors","krea2","default"],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":5,"type":"VAELoader","pos":[750,350],"size":[330,85],"flags":{"pinned":true},"order":2,"mode":0,"inputs":[],"outputs":[{"name":"VAE","type":"VAE","links":[715]}],"title":"QWEN IMAGE VAE","properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"VAELoader","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"LOAD","vvk_badge":"LOAD"},"widgets_values":["qwen_image_vae.safetensors"],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":14,"type":"EmptyLatentImage","pos":[25,6520],"size":[320,120],"flags":{"pinned":true},"order":3,"mode":4,"inputs":[],"outputs":[{"name":"LATENT","type":"LATENT","links":[14]}],"title":"CONCEPT BATCH — 4 IMAGES","properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"EmptyLatentImage","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"KREA","vvk_badge":"KREA"},"widgets_values":[1024,1024,4],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":13,"type":"Note","pos":[25,6360],"size":[1360,130],"flags":{"pinned":true},"order":4,"mode":4,"inputs":[],"outputs":[],"title":"OPTIONAL CONCEPT BATCH GUIDE","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["Enable this group to generate four fast variants.\nBatch size = 4.\nLatent From Batch index: 0=Image 1, 1=Image 2, 2=Image 3, 3=Image 4.\nKeep length at 1. The selected latent can be previewed directly; copy its seed/settings to the main branch for the final run."],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":21,"type":"Note","pos":[4465,60],"size":[820,105],"flags":{"pinned":true},"order":5,"mode":0,"inputs":[],"outputs":[],"title":"OPTIONAL QUALITY REFINEMENT","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"ENGINE","vvk_badge":"ENGINE"},"widgets_values":["Experimental and intentionally mild. Krea 2 Turbo already targets final quality at 8 steps.\nEnable only when the base image benefits from a small texture cleanup.\nRecommended denoise: 0.12–0.20. Higher values can alter identity, composition and color."],"color":"#51465f","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":45,"type":"Note","pos":[750,490],"size":[790,430],"flags":{"pinned":true},"order":6,"mode":0,"inputs":[],"outputs":[],"title":"REQUIRED VS. CREATIVE LORAS","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["Power Lora Loader (rgthree) is now wired for both MODEL and CLIP.\nThis is the correct setup if you want LoRAs to affect not only the UNET/model but also the text encoder side.\n\nHow to use:\n1. Install rgthree-comfy.\n2. Put your LoRA files in ComfyUI/models/loras/.\n3. Add one or more LoRAs in the Power Lora Loader node.\n4. Start gently. For Krea style LoRAs, 0.6 to 0.9 is a sensible first test.\n5. Add the trigger word manually in the positive prompt when the LoRA expects one.\n\nImportant:\nThe node is in the main path on purpose. With no LoRAs enabled, it should behave as a neutral pass-through.\nIf the node UI looks broken, turn Nodes 2.0 off in ComfyUI."],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":53,"type":"Note","pos":[5814.885092795603,6360],"size":[688.6475219406711,261.1352345799735],"flags":{"pinned":true},"order":7,"mode":0,"inputs":[],"outputs":[],"title":"NEGATIVE SWITCHER GUIDE","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["This workflow now includes a switcher for the negative path.\n\nHow it works:\n- any_01 = KREA TURBO ZERO NEGATIVE (default)\n- any_02 = OPTIONAL NEGATIVE TEXT PROMPT\n- Any Switch chooses the first non-null input from top to bottom\n\nDefault behavior:\n- leave KREA TURBO ZERO NEGATIVE active\n- OPTIONAL NEGATIVE TEXT PROMPT can stay bypassed\n\nTo test a real negative prompt:\n- unbypass OPTIONAL NEGATIVE TEXT PROMPT\n- press Ctrl+M on KREA TURBO ZERO NEGATIVE to mute it\n- the switch will then use the optional negative automatically\n\nImportant:\n- keep the negative prompt short and targeted\n- if rgthree Any Switch behaves oddly in your current ComfyUI build, update rgthree / ComfyUI or fall back to manual reconnecting."],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":44,"type":"Note","pos":[4157.956861730567,6360],"size":[700,254.30179760606222],"flags":{"pinned":true},"order":8,"mode":0,"inputs":[],"outputs":[],"title":"RECOMMENDED OPERATION","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["1. Main generation and Krea 2 Edit are independent branches.\n2. Krea 2 Edit order: Source Image → Identity Edit LoRA → Model Patch → Grounded Edit Prompt → Turbo Sampler → Decode.\n3. SeedVR2 is optional and runs only after the edit result.\n4. Start with grounding 768 for people; lower values create stronger edits, higher values preserve likeness.\n5. Use BYPASS (Ctrl+B), not MUTE, when disabling SeedVR2."],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":1,"type":"Note","pos":[1560,6360],"size":[700,180],"flags":{"pinned":true},"order":9,"mode":0,"inputs":[],"outputs":[],"title":"VELVET VICE — KREA 2 VISION PROMPTER v2.0.5","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["MAIN BRANCH IS READY TO RUN.\nOptional modules are bypassed by default.\nCreated and tested on Windows Portable ComfyUI with an RTX 5090 32 GB.\nThe workflow is not hardware-specific; usable settings depend on available VRAM and system configuration.\nUpdate ComfyUI before loading because Krea 2 support is recent.\nLoRA-ready module added.\nPower LoRA Loader with MODEL + CLIP routing added.\nSeedVR2-only upscale branch added.\nNegative switcher added.\nFinal upscale selector added.\nRefinement -> Face Detailer -> SeedVR2 chain logic added.\nFinal-save-only output added.\nReliable SeedVR2 bypass passthrough save added.\nOptional Img2Img SeedVR2 branch added.\nOptional Img2Img Refinement + Face Detailer chain added.\nImg2Img final path now defaults to safe bypass to prevent NoneType errors when Img2Img is inactive.\nDedicated Img2Img positive and negative prompt controls added.\nImg2Img converted into an independent model/prompt system.\nDedicated Img2Img SeedVR2 DiT/VAE loaders added.\nFixed Img2Img VAE, Face Detector and main final save routing.\nFinal Save simplified to direct SeedVR2 passthrough for maximum ComfyUI compatibility.\nSimplified Img2Img branch: Refinement and Face Detailer removed for better source-image fidelity.\nKrea 2 Edit branch added with Identity Edit LoRA, Grounded Encode, Model Patch and AuraFlow sampling.\nSeedVR2 retained as optional final-resolution stage.\nVisible Krea 2 Edit denoise control added.\nClassic denoise-based Img2Img restored as a second standalone option alongside native Krea 2 Edit.\nKrea 2 Edit grounding default corrected to 768.\nClassic Img2Img source normalization added (1.4 MP / divisible by 64).\nClassic Img2Img AuraFlow shift 4 added.\nClassic Img2Img denoise default adjusted to 0.50.\nOptional Img2Img creative LoRAs disabled by default.\nCustom target-format branch added for Krea 2 Edit.\nFull SDXL-style Detailer Suite added to the main generation branch.\nFace, Hand, Penis, Vagina and Female Breast Detailers now use independent prompts,\ndetectors, review previewss.\nAll new Detailer groups are bypassed by default and retain Krea-safe Turbo settings.\nClassic Img2Img neutral defaults: creative LoRAs OFF, denoise 0.40, SeedVR2 optional/bypassed for base testing."],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":59,"type":"Note","pos":[7498.231944581708,6360],"size":[401.3549305911208,521.5318945310601],"flags":{"pinned":true},"order":10,"mode":0,"inputs":[],"outputs":[],"title":"QUALITY PRESETS","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["QUALITY PRESETS\n\nKrea 2 Turbo is an 8-step distilled model. The Base sampler should normally remain at 8 steps and CFG 1.0. Quality differences are created through resolution and optional post-processing rather than SDXL-style high step counts.\n\nFAST\n\nBase:\n1024-class resolution\n8 steps\nCFG 1.0\nEuler\nSimple\nDenoise 1.0\n\nConcept Batch:\nEnabled when needed\n4 images\n8 steps\n\nQuality Refinement:\nBypass\n\nFace Detailer:\nBypass\n\nSeedVR2:\nBypass\n\nRecommended for:\nPrompt testing, LoRA testing, composition search and fast previews.\n\nQUALITY\n\nBase:\n1024–1536-class resolution\n8 steps\nCFG 1.0\nEuler\nSimple\nDenoise 1.0\n\nQuality Refinement:\nEnabled\n8 steps\nCFG 1.0\nDenoise 0.14–0.18\nRecommended: 0.16\n\nFace Detailer:\nOptional\n8 steps\nCFG 1.0\nDenoise 0.16–0.20\nRecommended: 0.18\n\nSeedVR2:\nBypass during testing\nEnable only for the selected final image\n\nRecommended for:\nMost final generations and balanced quality-to-processing time.\n\nULTRA\n\nBase:\n1536-class resolution\n8 steps\nCFG 1.0\nEuler\nSimple\nDenoise 1.0\n\nQuality Refinement:\nEnabled\n8 steps\nCFG 1.0\nDenoise 0.16–0.20\nRecommended: 0.18\n\nFace Detailer:\nEnabled for person-focused images\n8 steps\nCFG 1.0\nDenoise 0.18–0.22\nRecommended: 0.18\n\nSeedVR2:\nEnabled as the final stage\n\nFinal processing order:\nBase Generation\n→ Quality Refinement\n→ Face Detailer\n→ SeedVR2 Final Upscale\n\nRecommended for:\nFinished showcase images, publication and high-resolution final exports.\n\nMAXIMUM NATIVE\n\nBase:\nUp to 2048-class resolution\n8 steps\nCFG 1.0\nEuler\nSimple\nDenoise 1.0\n\nQuality Refinement:\nUse cautiously\nDenoise 0.12–0.16\n\nFace Detailer:\nOptional\n\nSeedVR2:\nOptional\n\nImportant:\nA 2048-class base image already requires considerably more VRAM and processing time. Running native 2K, Refinement, Face Detailer and SeedVR2 together may provide only a small visible improvement compared with a 1536-class base followed by SeedVR2.\n\nWINDOWS PORTABLE NOTE\n\nSeedVR2 torch.compile is disabled by default because it requires a correctly configured MSVC cl.exe toolchain and may conflict with certain Windows Portable or CUDA memory configurations.\n\nDisabling torch.compile does not reduce image quality. It only removes the optional compilation-based speed optimization.\n\nIMPORTANT\n\nDo not use SDXL-style settings such as:\n\n24–40 Base steps\nCFG 3.5–7.0\nLarge negative prompt blocks\n\nKrea 2 Turbo is specifically distilled for approximately 8-step inference with CFG disabled or represented as CFG 1.0 in ComfyUI.\n"],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":2,"type":"Note","pos":[2295,6360],"size":[700,310],"flags":{"pinned":true},"order":11,"mode":0,"inputs":[],"outputs":[],"title":"MODEL INSTALLATION","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"LOAD","vvk_badge":"LOAD"},"widgets_values":["Required files:\nComfyUI/models/diffusion_models/krea2_turbo_fp8_scaled.safetensors\nComfyUI/models/text_encoders/qwen3vl_4b_fp8_scaled.safetensors\nComfyUI/models/vae/qwen_image_vae.safetensors\n\nhttps://huggingface.co/Comfy-Org/Krea-2/tree/main\n\nRecommended Turbo settings: 8 steps, CFG 1.0, Euler, Simple, denoise 1.0.\nKrea 2 Turbo uses CFG-disabled/distilled behavior. The negative input is therefore generated with ConditioningZeroOut rather than a normal SDXL negative prompt.\n\nLoRAs:\nPlace Krea 2 LoRA files in ComfyUI/models/loras/.\n\nFor the Power LoRA module also install rgthree-comfy.\n"],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":60,"type":"Note","pos":[7934.5868751728285,6360],"size":[325.3316618109384,522.9293020878251],"flags":{"pinned":true},"order":12,"mode":0,"inputs":[],"outputs":[],"title":"RESOLUTION PRESETS","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["RESOLUTION PRESETS\n\nKrea 2 Turbo is designed for approximately 1K to 2K image generation. All resolutions below use dimensions divisible by 16.\n\nSQUARE\n\nSTANDARD\n1024 × 1024\n\nHIGH QUALITY\n1536 × 1536\n\nMAXIMUM NATIVE\n2048 × 2048\n\nLANDSCAPE — 4:3\n\nSTANDARD\n1152 × 864\n\nHIGH QUALITY\n1536 × 1152\n\nMAXIMUM\n2048 × 1536\n\nPORTRAIT — 3:4\n\nSTANDARD\n864 × 1152\n\nHIGH QUALITY\n1152 × 1536\n\nMAXIMUM\n1536 × 2048\n\nLANDSCAPE — 3:2\n\nSTANDARD\n1216 × 832\n\nHIGH QUALITY\n1536 × 1024\n\nMAXIMUM\n1920 × 1280\n\nPORTRAIT — 2:3\n\nSTANDARD\n832 × 1216\n\nHIGH QUALITY\n1024 × 1536\n\nMAXIMUM\n1280 × 1920\n\nWIDESCREEN — 16:9\n\nSTANDARD\n1344 × 768\n\nHIGH QUALITY\n1728 × 976\n\nMAXIMUM\n1920 × 1088\n\nPORTRAIT — 9:16\n\nSTANDARD\n768 × 1344\n\nHIGH QUALITY\n976 × 1728\n\nMAXIMUM\n1088 × 1920\n\nULTRAWIDE — 21:9\n\nSTANDARD\n1536 × 672\n\nHIGH QUALITY\n1792 × 768\n\nMAXIMUM\n2048 × 896\n\nRECOMMENDATION\n\nUse 1024-class resolutions for fast generation and Concept Batch.\n\nUse 1536-class resolutions for final base images when additional native detail is needed.\n\nUse 2048-class resolutions only when sufficient VRAM is available and the longer generation time is acceptable.\n\nFor 4K output, generate at 1024–1536 resolution first, then use:\n\nQuality Refinement\n→ Face Detailer\n→ SeedVR2 Final Upscale\n\nGenerating directly above the intended native range is not recommended.\n"],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":8,"type":"VelvetViceKreaResolutionSelector","pos":[25,265],"size":[620,175],"flags":{"pinned":true},"order":13,"mode":0,"inputs":[{"localized_name":"mode","name":"mode","type":"COMBO","widget":{"name":"mode"},"link":null},{"localized_name":"format","name":"format","type":"COMBO","widget":{"name":"format"},"link":null},{"localized_name":"size","name":"size","type":"COMBO","widget":{"name":"size"},"link":null},{"localized_name":"manual_width","name":"manual_width","type":"INT","widget":{"name":"manual_width"},"link":null},{"localized_name":"manual_height","name":"manual_height","type":"INT","widget":{"name":"manual_height"},"link":null},{"localized_name":"batch_size","name":"batch_size","type":"INT","widget":{"name":"batch_size"},"link":null}],"outputs":[{"localized_name":"latent","name":"latent","type":"LATENT","links":[6]},{"localized_name":"width","name":"width","type":"INT","links":[]},{"localized_name":"height","name":"height","type":"INT","links":[]},{"localized_name":"status","name":"status","type":"STRING","links":[]}],"title":"CREATE — FORMAT & RESOLUTION","properties":{"ver":"2.0.5","Node name for S&R":"VelvetViceKreaResolutionSelector","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"CONTROL","vvk_badge":"FORMAT","cnr_id":"velvet-vice-krea"},"widgets_values":["PRESET","PORTRAIT 2:3","STANDARD",1024,1536,1],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":90,"type":"SeedVR2LoadVAEModel","pos":[4572.612402938941,7178.0],"size":[315,298],"flags":{},"order":14,"mode":4,"inputs":[{"name":"torch_compile_args","shape":7,"type":"TORCH_COMPILE_ARGS","link":null}],"outputs":[{"name":"SEEDVR2_VAE","type":"SEEDVR2_VAE","links":[138,632]}],"title":"IMG2IMG SEEDVR2 VAE MODEL","properties":{"cnr_id":"seedvr2_videoupscaler","ver":"690cc39379c1481159ddd451368dbf2295930fc6","Node name for 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It is generally more flexible, more creative and allows stronger reinterpretation of the original image.\n\nBEST USE CASES\n\nUse Classic Img2Img when you want to:\n\ntransform the source image more freely\ncreate stronger stylistic changes\npush the image further away from the original\nuse a normal denoise-based editing workflow\nmake use of a traditional optional negative prompt\nget more creative reinterpretation rather than strict source preservation\n\nClassic Img2Img is usually less strict than Krea 2 Edit when it comes to identity, pose, composition and overall scene preservation.\n\nQUICK START\nEnable the CLASSIC IMG2IMG group.\nKeep the Krea 2 Edit branch bypassed.\nLoad your source image into CLASSIC IMG2IMG — SOURCE IMAGE.\nWrite your transformation prompt in the Classic Img2Img Positive Prompt.\nOptionally use the Classic Img2Img Negative Prompt.\nStart with the recommended settings below.\nTest the base result first.\nEnable SeedVR2 only after the Classic Img2Img result already looks good.\nHOW TO PROMPT\n\nClassic Img2Img behaves more like a creative reinterpretation workflow.\n\nYou can prompt it more openly than Krea 2 Edit, but it still helps to be clear about:\n\nwhat should change\nwhat style or look you want\nwhat should stay recognizable if needed\n\nExample:\n\nTransform the image into a cinematic portrait with dramatic lighting, richer shadows, sharper clothing details and a more refined facial appearance while preserving the overall subject and composition.\n\nIf you want stronger transformation, you can describe the desired result more boldly.\n\nExample:\n\nReimagine the source image as a high-fashion editorial portrait with luxurious styling, elegant makeup, premium clothing textures and a dramatic studio atmosphere.\n\nDENOISE\n\nDenoise is the main control for change strength in this branch.\n\nGeneral behavior:\n\nlower denoise = closer to the source image\nhigher denoise = stronger transformation and more reinterpretation\n\nSuggested ranges:\n\n0.25–0.40 = subtle changes\n0.35–0.50 = balanced image-to-image editing\n0.50–0.75 = stronger transformation\n0.75+ = highly creative, but less predictable\n\nRecommended starting value:\n\n0.40\n\nNEGATIVE PROMPT\n\nUnlike Krea 2 Edit, this branch supports a more normal optional negative prompt workflow.\n\nUse the negative prompt to suppress unwanted artifacts or tendencies, for example:\n\nblurry\nlow detail\ndistorted anatomy\nextra fingers\noverexposed\ntext artifacts\n\nKeep the negative prompt relatively short and focused. Avoid giant keyword walls.\n\nRECOMMENDED DEFAULT SETTINGS\nDenoise: 0.40\nSteps: 8\nCFG: 1.0 or your preferred Classic Img2Img baseline\nSampler: Euler\nScheduler: Beta\nOptional Negative Prompt: enabled only if needed\nSeedVR2: Bypass during initial testing\nOPTIONAL SEEDVR2 FINAL UPSCALE\n\nSeedVR2 is used only as the final stage.\n\nRecommended order:\n\nClassic Img2Img\n→ Base Preview\n→ Optional SeedVR2\n→ Final Preview\n→ Save\n\nSeedVR2 may improve final presentation quality and resolution, but it can also reinterpret small details. 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needed."],"color":"#51465f","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":106,"type":"Note","pos":[7542.497234882983,7178.0],"size":[460.9793072027496,720],"flags":{},"order":38,"mode":0,"inputs":[],"outputs":[],"title":"KREA 2 EDIT — PRECISE IMAGE-TO-IMAGE","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["# KREA 2 EDIT — PRECISE IMAGE-TO-IMAGE\n\nThis workflow includes two independent image-to-image systems:\n\n* **Classic Img2Img** for creative reinterpretation and denoise-based transformations\n* **Krea 2 Edit** for precise, identity-preserving and instruction-based edits\n\nUse the **Fast Groups Bypasser** to enable the image-to-image branch you want to use. Keep the other Img2Img branch bypassed to avoid unnecessary model loading and processing.\n\n## QUICK START\n\n1. Enable the **KREA 2 EDIT** group.\n2. Load your source image into **KREA 2 EDIT — SOURCE IMAGE**.\n3. Write a clear edit instruction in the **Grounded Edit Prompt**.\n4. Keep the Identity Edit LoRA enabled.\n5. Start with the recommended settings below.\n6. Test the base edit first.\n7. Enable SeedVR2 only after the edit result is satisfactory.\n\n## WHAT KREA 2 EDIT IS FOR\n\nUse Krea 2 Edit when you want to:\n\n* change clothing or accessories\n* adjust lighting or colors\n* modify background elements\n* preserve the original face and identity\n* maintain the pose and composition\n* make targeted changes without fully regenerating the image\n\nKrea 2 Edit is more precise than Classic Img2Img and normally stays closer to the original source image.\n\n## HOW TO WRITE THE EDIT PROMPT\n\nUse direct editing instructions.\n\nClearly describe:\n\n* what should change\n* what should remain unchanged\n\nExample:\n\nReplace her current outfit with a red leather jacket. Keep her face, hairstyle, pose, body proportions, camera angle, lighting and background unchanged.\n\nAvoid using only isolated keywords such as:\n\nred leather jacket\n\nA complete edit instruction gives the model better control over the intended change.\n\n## GROUNDING RESOLUTION\n\nGrounding Resolution is the main control for the balance between edit adherence and source preservation.\n\nSuggested starting ranges:\n\n* **384–512:** stronger edit behavior and more freedom\n* **640–768:** balanced editing\n* **896–1024:** stronger identity and source-image preservation (experimental)\n\nThese ranges are guidelines rather than exact strength percentages. The result can also depend on the source image, model and edit instruction.\n\nRecommended starting value:\n\n**768**\n\n## IDENTITY EDIT LORA\n\nRecommended starting strength:\n\n**1.0**\n\nGeneral behavior:\n\n* lower strength allows more creative freedom\n* higher strength can preserve identity more strongly\n* excessive strength may reduce edit flexibility\n\nSuggested range:\n\n**0.8–1.1**\n\n## DENOISE\n\nUnlike Classic Img2Img, Denoise is not the main edit-strength control in this branch.\n\nRecommended value:\n\n**1.0**\n\nLower values are experimental and may cause:\n\n* weaker edits\n* incomplete image reconstruction\n* soft or unfinished details\n* reduced prompt adherence\n\nFor normal use, control the edit primarily through:\n\n* Grounding Resolution\n* the edit prompt\n* Identity Edit LoRA strength\n\n## NEGATIVE PROMPT\n\nKrea 2 Turbo uses CFG-disabled or distilled behavior with CFG 1.0. The negative conditioning is therefore neutralized in this branch.\n\nInstead of relying on a traditional negative prompt, include important preservation and quality instructions in the positive edit prompt.\n\nExample:\n\nPreserve natural anatomy, clear facial details, realistic hands, stable lighting and the original camera composition.\n\n## RECOMMENDED DEFAULT SETTINGS\n\n* Identity Edit LoRA: **1.0**\n* Grounding Resolution: **768**\n* AuraFlow Shift: **4**\n* Steps: **8**\n* CFG: **1.0**\n* Sampler: **Euler**\n* Scheduler: **Beta**\n* Denoise: **1.0**\n* SeedVR2: **Bypass during initial testing**\n\n## OPTIONAL SEEDVR2 FINAL UPSCALE\n\nSeedVR2 is a final post-processing stage.\n\nUse it only after the Krea 2 Edit result already looks correct.\n\nRecommended order:\n\nKrea 2 Edit\n→ Base Preview\n→ Optional SeedVR2\n→ Final Preview\n→ Save\n\nSeedVR2 may improve final resolution and perceived detail, but it can also reinterpret small textures or facial details. Always compare the base result with the upscaled result.\n\nUse **Bypass**, not Mute or Never, when disabling the SeedVR2 group.\n\n## WHEN TO USE CLASSIC IMG2IMG\n\nUse Classic Img2Img when you want:\n\n* more creative reinterpretation\n* stronger stylistic changes\n* denoise-based control\n* more distance from the original image\n* an optional traditional negative prompt\n\n## SUMMARY\n\n**Krea 2 Edit**\n\nPrecise, controlled, identity-preserving and best for targeted edits.\n\n**Classic Img2Img**\n\nCreative, flexible, denoise-based and best for stronger reinterpretation.\n\n## REQUIRED COMPONENTS\n\n* comfyui-krea2edit\n* compatible Krea 2 Identity Edit LoRA\n* rgthree-comfy\n* Krea 2 Turbo model\n* Qwen3-VL text encoder\n* Qwen Image VAE\n* SeedVR2 only when using the optional final upscale\n\n\n## CUSTOM TARGET FORMAT OPTION\n\nAn additional optional branch is included for rendering the edited image at a new target resolution or aspect ratio.\n\nUse the standard **Original Target** branch to preserve the source format.\n\nUse the **Custom Target Format** branch when you want a new output size such as 16:9, 9:16, 3:2, 2:3 or square."],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":330,"type":"Label (rgthree)","pos":[3828.26344150594,7953.0],"size":[700,70],"flags":{"allow_interaction":true},"order":39,"mode":0,"inputs":[],"outputs":[],"title":"KREA 2 EDIT IMAGE TO IMAGE","properties":{"fontSize":60,"fontFamily":"Arial","fontColor":"#ffffff","textAlign":"left","backgroundColor":"transparent","padding":0,"borderRadius":0,"angle":0,"ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":331,"type":"Label (rgthree)","pos":[1995.6666015624996,9601.28281117605],"size":[700,70],"flags":{"allow_interaction":true},"order":40,"mode":0,"inputs":[],"outputs":[],"title":"KREA 2 EDIT CLASSIC IMAGE TO IMAGE","properties":{"fontSize":60,"fontFamily":"Arial","fontColor":"#ffffff","textAlign":"left","backgroundColor":"transparent","padding":0,"borderRadius":0,"angle":0,"ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":332,"type":"Fast Groups Bypasser (rgthree)","pos":[710,2455],"size":[650,580],"flags":{},"order":41,"mode":0,"inputs":[],"outputs":[{"name":"OPT_CONNECTION","type":"*","links":null}],"title":"CLASSIC IMG2IMG — ENABLE GROUPS","properties":{"matchColors":"","matchTitle":"","showNav":true,"showAllGraphs":true,"sort":"position","customSortAlphabet":"","toggleRestriction":"default","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"Node name for S&R":"Fast Groups Bypasser (rgthree)","vvk_design_system":"KREA","vvk_role":"KREA","vvk_badge":"KREA"},"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":322,"type":"Note","pos":[2995,4700],"size":[940,130],"flags":{},"order":42,"mode":4,"inputs":[],"outputs":[],"title":"05D — OPTIONAL VAGINA DETAILER","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"DETAIL","vvk_badge":"DETAIL"},"widgets_values":["Requires an installed compatible vagina detector model.\n\nIndependent positive and negative prompts, dedicated detector and a full-image review preview.\nKrea-safe defaults: 8 steps, CFG 1.0, Euler, Simple.\nThe module is bypassed by default."],"color":"#51465f","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":329,"type":"Note","pos":[3985,4700],"size":[940,130],"flags":{},"order":43,"mode":4,"inputs":[],"outputs":[],"title":"05E — OPTIONAL FEMALE BREAST DETAILER","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"DETAIL","vvk_badge":"DETAIL"},"widgets_values":["Requires the female_breast-v4.2 detector or a compatible replacement.\n\nIndependent positive and negative prompts, dedicated detector and a full-image review preview.\nKrea-safe defaults: 8 steps, CFG 1.0, Euler, Simple.\nThe module is bypassed by default."],"color":"#51465f","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":315,"type":"Note","pos":[2005,4700],"size":[940,130],"flags":{},"order":44,"mode":4,"inputs":[],"outputs":[],"title":"05C — OPTIONAL PENIS DETAILER","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"DETAIL","vvk_badge":"DETAIL"},"widgets_values":["Requires an installed compatible penis detector model.\n\nIndependent positive and negative prompts, dedicated detector and a full-image review preview.\nKrea-safe defaults: 8 steps, CFG 1.0, Euler, Simple.\nThe module is bypassed by default."],"color":"#51465f","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":308,"type":"Note","pos":[1015,4700],"size":[940,130],"flags":{},"order":45,"mode":4,"inputs":[],"outputs":[],"title":"05B — OPTIONAL HAND DETAILER","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"DETAIL","vvk_badge":"DETAIL"},"widgets_values":["Use for visible hands that need local correction.\n\nIndependent positive and negative prompts, dedicated detector and a full-image review preview.\nKrea-safe defaults: 8 steps, CFG 1.0, Euler, Simple.\nThe module is bypassed by default."],"color":"#51465f","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":333,"type":"MarkdownNote","pos":[2465,2520],"size":[900,440],"flags":{},"order":46,"mode":0,"inputs":[],"outputs":[],"title":"BBOX DETECTOR DOWNLOADS — CLICK TO DOWNLOAD","properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"DETAIL","vvk_badge":"DETAIL"},"widgets_values":["# BBOX DETECTOR DOWNLOADS\n\nClick a detector name to download the `.pt` file directly.\n\n## Required for the Detailer Suite\n\n- [Download face_yolov8m.pt](https://huggingface.co/licyk/comfyui-extension-models/resolve/main/ComfyUI-Impact-Pack/face_yolov8m.pt?download=true)\n- [Download hand_yolov8s.pt](https://huggingface.co/ChrisRfr/ComfyUI_FaceAnalysis/resolve/main/models/hand_yolov8s.pt?download=true)\n- [Download penis.pt](https://huggingface.co/ashllay/YOLO_Models/resolve/e07b01219ff1807e1885015f439d788b038f49bd/bbox/penis.pt?download=true)\n- [Download pussy.pt](https://huggingface.co/Justfuckinglol/cipherv2nsfwvid/resolve/2c43de39f5260e2218a0090a454b197c3847ee6d/ultralytics/bbox/pussy.pt?download=true)\n- [Download female_breast-v4.2.pt](https://huggingface.co/ashllay/YOLO_Models/resolve/e07b01219ff1807e1885015f439d788b038f49bd/bbox/female_breast-v4.2.pt?download=true)\n\n## Required custom nodes\n\n- [ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n- [ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)\n\nInstall both through **ComfyUI Manager**.\n\n## Installation\n\nPlace all downloaded detector files inside:\n\n`ComfyUI/models/ultralytics/bbox/`\n\nWindows Portable example:\n\n`ComfyUI_windows_portable/ComfyUI/models/ultralytics/bbox/`\n\nThen:\n\n1. Completely restart ComfyUI.\n2. Open this workflow again.\n3. Open each `UltralyticsDetectorProvider`.\n4. Select the matching detector file.\n5. Keep unused Detailer groups bypassed.\n\n## SFW-only use\n\nFor Face and Hand Detailers only, you need:\n\n- `face_yolov8m.pt`\n- `hand_yolov8s.pt`\n"],"color":"#51465f","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":281,"type":"Label (rgthree)","pos":[1560,6937.929302087825],"size":[700,70],"flags":{"allow_interaction":true},"order":47,"mode":0,"inputs":[],"outputs":[],"title":"VELVET VICE KREA 2 · VISION PROMPTER v2.0.5","properties":{"fontSize":50,"fontFamily":"Roboto","fontColor":"#ffffff","textAlign":"left","backgroundColor":"transparent","padding":0,"borderRadius":0,"angle":0,"ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"DETAIL","vvk_badge":"DETAIL"},"color":"#51465f","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":97,"type":"Seed (rgthree)","pos":[415,2245],"size":[510,145],"flags":{},"order":48,"mode":4,"inputs":[],"outputs":[{"dir":4,"name":"SEED","shape":3,"type":"INT","links":[162,621]}],"title":"KREA 2 EDIT — SEED","properties":{"cnr_id":"rgthree-comfy","ver":"1.0.2606200020","randomMax":1125899906842624,"randomMin":0,"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"KREA","vvk_badge":"KREA"},"widgets_values":[-1,"","","okay"],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":297,"type":"Note","pos":[3093.26344150594,7953.0],"size":[700,373.8268415851055],"flags":{},"order":49,"mode":4,"inputs":[],"outputs":[],"title":"KREA 2 EDIT — CUSTOM TARGET FORMAT","properties":{"Node name for S&R":"Note","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["# KREA 2 EDIT — CUSTOM TARGET FORMAT\n\nThis optional branch lets you render the edited image in a new target resolution or aspect ratio while still using the original source image as the grounded visual reference.\n\n## HOW TO USE\n\n1. Keep the standard **Original Target** branch for preserving the source format.\n2. Enable this **Custom Target Format** group only when you want a different output size or aspect ratio.\n3. Set the custom width and height in **KREA 2 EDIT — CUSTOM TARGET LATENT**.\n4. Use the same Krea 2 Edit prompt and source image as usual.\n5. Test the base result first, then optionally enable SeedVR2 for the final upscale.\n\n## RECOMMENDED PRACTICE\n\n- Use moderate format changes first.\n- Extreme aspect-ratio changes require the model to invent more background content.\n- Grounding 768 remains a strong general starting point.\n- If the subject changes too much, try higher grounding values such as 896 or 1024.\n\n## TYPICAL CUSTOM TARGETS\n\n- 1344 × 768 (16:9)\n- 768 × 1344 (9:16)\n- 1536 × 1024 (3:2)\n- 1024 × 1536 (2:3)\n- 1536 × 1536 (square)\n\nFor best efficiency, keep only the Krea 2 Edit output mode you actually need enabled."],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":290,"type":"EmptySD3LatentImage","pos":[955,1900],"size":[410,165],"flags":{"collapsed":false},"order":50,"mode":4,"inputs":[],"outputs":[{"name":"LATENT","type":"LATENT","links":[625]}],"title":"KREA 2 EDIT — CUSTOM TARGET LATENT","properties":{"cnr_id":"comfy-core","ver":"0.26.0","Node name for S&R":"EmptySD3LatentImage","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"KREA","vvk_badge":"KREA"},"widgets_values":[1344,768,1],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":289,"type":"Fast Groups Bypasser (rgthree)","pos":[30,2455],"size":[650,580],"flags":{},"order":51,"mode":0,"inputs":[],"outputs":[{"name":"OPT_CONNECTION","type":"*","links":null}],"title":"NATIVE EDIT — ENABLE GROUPS","properties":{"matchColors":"","matchTitle":"","showNav":true,"showAllGraphs":true,"sort":"position","customSortAlphabet":"","toggleRestriction":"default","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"Node name for S&R":"Fast Groups Bypasser (rgthree)","vvk_design_system":"KREA","vvk_role":"KREA","vvk_badge":"KREA"},"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":37,"type":"LoadImage","pos":[30,1900],"size":[360,480],"flags":{},"order":52,"mode":4,"inputs":[],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[153]},{"name":"MASK","type":"MASK","links":null}],"title":"NATIVE EDIT — SOURCE IMAGE","properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"LoadImage","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"KREA","vvk_badge":"KREA"},"widgets_values":["","image"],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":335,"type":"MarkdownNote","pos":[2400,60],"size":[570,710],"flags":{},"order":53,"mode":0,"inputs":[],"outputs":[],"title":"VELVET VICE KREA PROMPT STUDIO — QUICK START","properties":{"cnr_id":"comfyui-custom-scripts","ver":"1.2.5","Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"PROMPT","vvk_badge":"PROMPT"},"widgets_values":["# VELVET VICE KREA PROMPT STUDIO\n\nThe complete Manual/Assisted prompt system is now contained inside:\n\n`VELVET VICE KREA PROMPT DIRECTOR`\n\n## Manual mode\n\n1. Select `CREATE`.\n2. Set Prompt Mode to `MANUAL`.\n3. Write the complete prompt in `manual_prompt`.\n\nManual Mode returns the text unchanged. Ollama is never contacted.\n\n## Assisted mode\n\n1. Select `CREATE`.\n2. Set Prompt Mode to `ASSISTED`.\n3. Write keywords or a rough idea in `short_idea`.\n\nThe Director generates one optimized Krea 2 Turbo prompt, unloads the Ollama\nmodel, displays the exact final text, counts words and characters, and sends\nthe same output to the existing Positive Prompt encoder.\n\nThe preview and Copy button do not trigger another Ollama request."],"color":"#51465f","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":345,"type":"MarkdownNote","pos":[2400,805],"size":[570,505],"flags":{},"order":57,"mode":0,"inputs":[],"outputs":[],"title":"VELVET VICE KREA PROMPT DIRECTOR — INSTALLATION","properties":{"cnr_id":"comfyui-custom-scripts","ver":"1.2.5","Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"PROMPT","vvk_badge":"PROMPT"},"widgets_values":["# PROMPT DIRECTOR INSTALLATION\n\nInstall:\n\n`velvet-vice-krea`\n\nPlace the complete folder inside:\n\n`ComfyUI/custom_nodes/`\n\nThen restart ComfyUI completely.\n\n## Ollama\n\nInstall Ollama for Windows and pull the recommended model:\n\n```powershell\nollama pull fredrezones55/Qwen3.5-Uncensored-HauhauCS-Aggressive:9b\n```\n\nDefault URL:\n\n`http://127.0.0.1:11434`\n\nThe Director communicates with Ollama directly. The separate\n`comfyui-ollama` prompt nodes and the old private Release node are no longer\nrequired for this workflow.\n\nAssisted generation uses `keep_alive: 0`, so the model is released before\nKrea image generation begins."],"color":"#51465f","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":298,"type":"Power Lora Loader (rgthree)","pos":[1120,65],"size":[430,385],"flags":{},"order":60,"mode":0,"inputs":[{"dir":3,"name":"model","type":"MODEL","link":635},{"dir":3,"name":"clip","type":"CLIP","link":636}],"outputs":[{"dir":4,"name":"MODEL","shape":3,"type":"MODEL","links":[713]},{"dir":4,"name":"CLIP","shape":3,"type":"CLIP","links":[714]}],"properties":{"cnr_id":"rgthree-comfy","ver":"1.0.2606200020","Show Strengths":"Single Strength","Match":"","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"LOAD","vvk_badge":"LOAD"},"widgets_values":[{},{"type":"PowerLoraLoaderHeaderWidget"},{"on":false,"lora":"Krea 2 Turbo\\brkn_krea2_meaty_pussy.safetensors","strength":0.8,"strengthTwo":null},{"on":true,"lora":"Krea 2 Turbo\\skindetails_krea2_loraholic.safetensors","strength":0.8,"strengthTwo":null},{"on":false,"lora":"Krea 2 Turbo\\areola_size_krea2_loraholic.safetensors","strength":0.8,"strengthTwo":null},{"on":false,"lora":"Krea 2 Turbo\\BSS_AJlbTyIIIKu_Krea2.safetensors","strength":0.7,"strengthTwo":null},{"on":false,"lora":"Krea 2 Turbo\\Large-Huge Erect Penis-Krea2.safetensors","strength":1,"strengthTwo":null},{"on":true,"lora":"krea2-cup-34G-step20000-k3nk.safetensors","strength":1,"strengthTwo":null},{},""],"title":"OPTIONAL CREATIVE LORAS — MODEL + CLIP","color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":92,"type":"Power Lora Loader (rgthree)","pos":[5217.612402938941,7178.0],"size":[324.1143194801757,166],"flags":{},"order":61,"mode":4,"inputs":[{"dir":3,"name":"model","type":"MODEL","link":152},{"dir":3,"name":"clip","type":"CLIP","link":null}],"outputs":[{"dir":4,"name":"MODEL","shape":3,"type":"MODEL","links":[155]},{"dir":4,"name":"CLIP","shape":3,"type":"CLIP","links":null}],"title":"KREA 2 EDIT — IDENTITY EDIT LORA","properties":{"cnr_id":"rgthree-comfy","ver":"1.0.2606200020","Show Strengths":"Single Strength","Match":"","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"vvk_design_system":"KREA","vvk_role":"LOAD","vvk_badge":"LOAD"},"widgets_values":[{},{"type":"PowerLoraLoaderHeaderWidget"},{"on":false,"lora":"krea\\krea2_identity_edit_v1_1.safetensors","strength":1,"strengthTwo":null},{"on":true,"lora":"Krea 2 Turbo\\krea2_identity_edit_v1_2.safetensors","strength":1,"strengthTwo":null},{},""],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":278,"type":"Power Lora Loader (rgthree)","pos":[6314.050017757723,8843.0],"size":[432.25546875,190],"flags":{},"order":62,"mode":4,"inputs":[{"dir":3,"name":"model","type":"MODEL","link":585},{"dir":3,"name":"clip","type":"CLIP","link":586}],"outputs":[{"dir":4,"name":"MODEL","shape":3,"type":"MODEL","links":[612]},{"dir":4,"name":"CLIP","shape":3,"type":"CLIP","links":[720]}],"title":"CLASSIC IMG2IMG POWER LORA LOADER (MODEL + CLIP)","properties":{"cnr_id":"rgthree-comfy","ver":"1.0.2606200020","Show Strengths":"Single Strength","Match":"","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"LOAD","vvk_badge":"LOAD"},"widgets_values":[{},{"type":"PowerLoraLoaderHeaderWidget"},{"on":false,"lora":"Krea 2 Turbo\\brkn_krea2_meaty_pussy.safetensors","strength":0.8,"strengthTwo":null},{"on":false,"lora":"Krea 2 Turbo\\skindetails_krea2_loraholic.safetensors","strength":0.8,"strengthTwo":null},{"on":false,"lora":"Krea 2 Turbo\\areola_size_krea2_loraholic.safetensors","strength":0.8,"strengthTwo":null},{},""],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":283,"type":"ImageScaleToTotalPixels","pos":[7076.305486507723,8843.0],"size":[423.4166015625,110],"flags":{},"order":63,"mode":4,"inputs":[{"name":"image","type":"IMAGE","link":606}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[607,608]}],"title":"CLASSIC IMG2IMG — SOURCE NORMALIZATION (1.4 MP)","properties":{"cnr_id":"comfy-core","ver":"0.27.0","Node name for 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Select the workflow mode at the top.\n2. CREATE: choose PRESET format/size or switch to MANUAL and use your saved pixel values.\n3. Select MANUAL or ASSISTED in Prompt Director v2.\n4. ASSISTED uses one Qwen3.5 9B call, verifies Ollama release, then opens the lazy Krea render gate.\n5. Set seed and optional modules, then use only the Preview/Save path belonging to the active branch.\n\n**MANUAL = 0 Ollama calls and does not run the pre-Qwen unload.**\n\nCREATE, Native Edit and Classic Img2Img remain independent. The Prompt-First Gate requests only the model/CLIP/VAE set belonging to the selected mode.\n\n**v2.0.5:** Inactive branches are isolated with ExecutionBlockers. Native Edit and Classic Img2Img can remain physically present without leaking None MODEL/CLIP/VAE values into active paths. Classic Img2Img starts from neutral settings: optional creative LoRAs OFF and denoise 0.40."],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":351,"type":"MarkdownNote","pos":[25,3745],"size":[2780,770],"flags":{},"order":147,"mode":0,"inputs":[],"outputs":[],"title":"INDEPENDENT MODES — IMPORTANT","properties":{"cnr_id":"comfyui-custom-scripts","ver":"1.2.5","Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["# FOUR INDEPENDENT IMAGE BRANCHES\n\n## CREATE\nMain Decode → Base Preview → Mild Refinement → Refinement Preview → dedicated SeedVR2 → dedicated Save.\n\n## NATIVE EDIT — ORIGINAL\nDedicated model, Decode, SeedVR2, Preview and Save path.\n\n## NATIVE EDIT — CUSTOM\nShared Native Edit core with a dedicated target latent, Decode and output path.\n\n## CLASSIC IMG2IMG\nDedicated denoise sampler, Decode, SeedVR2 and output path.\n\n**No image router connects these systems.**"],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":352,"type":"MarkdownNote","pos":[2840,3745],"size":[2780,770],"flags":{},"order":148,"mode":0,"inputs":[],"outputs":[],"title":"INSTALLATION & DEPENDENCIES","properties":{"cnr_id":"comfyui-custom-scripts","ver":"1.2.5","Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["# INSTALLATION\n\nCopy `velvet-vice-krea` to `ComfyUI/custom_nodes/`, then restart ComfyUI completely.\n\nRequired components:\n\n- Krea 2 Turbo model\n- Qwen3-VL Text Encoder\n- Qwen Image VAE\n- `comfyui-krea2edit` for Native Edit\n- `rgthree-comfy` for LoRA and group controls\n- SeedVR2\n- Impact Pack and compatible detector nodes\n\nUse ComfyUI Manager to resolve any remaining missing nodes."],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":353,"type":"MarkdownNote","pos":[5655,3745],"size":[2780,770],"flags":{},"order":149,"mode":0,"inputs":[],"outputs":[],"title":"TESTING & RELEASE NOTES","properties":{"cnr_id":"comfyui-custom-scripts","ver":"1.2.5","Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["# TESTING — v2.0.5 STABLE EDIT BRANCH RELEASE\n\n1. Test CREATE with edit groups bypassed.\n2. Enable Native Edit groups and select NATIVE EDIT — ORIGINAL; load a source image and render.\n3. Test NATIVE EDIT — CUSTOM separately.\n4. Test CLASSIC IMG2IMG separately.\n5. Safety test: leave an edit output group enabled while CREATE is selected. The inactive edit path must be silently blocked and must not raise NoneType decode errors.\n6. Safety test: select Native Edit while INTERNAL B is bypassed. The gate should show a readable missing-link message, not `there is no input to that node at all`."],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":354,"type":"MarkdownNote","pos":[4465,1245],"size":[820,430],"flags":{},"order":150,"mode":0,"inputs":[],"outputs":[],"title":"CREATE — IMAGE FLOW","properties":{"cnr_id":"comfyui-custom-scripts","ver":"1.2.5","Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["# CREATE\n\n`First Sampler → Base Preview → Mild Refinement → Refinement Preview`\n\nThe two Preview nodes intentionally use different direct sources."],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":355,"type":"MarkdownNote","pos":[45,3085],"size":[1540,430],"flags":{},"order":151,"mode":0,"inputs":[],"outputs":[],"title":"IMAGE EDIT STUDIO — BRANCH ACTIVATION","properties":{"cnr_id":"comfyui-custom-scripts","ver":"1.2.5","Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"GUIDE","vvk_badge":"GUIDE"},"widgets_values":["# IMAGE EDIT — ACTIVATION\n\nSelect the workflow mode first. Native Edit and Classic Img2Img now use completely separate visible source groups as well as separate internal engines.\n\n**Native Edit:** enable **04A — NATIVE EDIT STUDIO • ORIGINAL / CUSTOM** and **INTERNAL B — NATIVE EDIT ENGINE**. Keep **04B — CLASSIC IMG2IMG STUDIO • SOURCE / DENOISE** bypassed.\n\n**Classic Img2Img:** enable **04B — CLASSIC IMG2IMG STUDIO • SOURCE / DENOISE** and **INTERNAL C — CLASSIC IMG2IMG ENGINE**. Keep **04A — NATIVE EDIT STUDIO • ORIGINAL / CUSTOM** bypassed.\n\n**04C — IMAGE EDIT BRANCH CONTROL • ENABLE / GUIDE** stays active so the Fast Groups Bypasser controls remain available.\n\nThis prevents the Native and Classic source/sampler front ends from running one after another when only one edit mode is intended."],"color":"#3e5363","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":356,"type":"MarkdownNote","pos":[2465,3010],"size":[900,535],"flags":{},"order":152,"mode":0,"inputs":[],"outputs":[],"title":"DETAILER — OPTIONAL","properties":{"cnr_id":"comfyui-custom-scripts","ver":"1.2.5","Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"DETAIL","vvk_badge":"DETAIL"},"widgets_values":["# DETAILER SUITE\n\nFace, Hand and all other Detailers remain individually configurable.\n\nSet unused modules to **Bypass**, not Mute/Never."],"color":"#51465f","bgcolor":"#18212a","boxcolor":"#c0afd2"},{"id":357,"type":"VelvetViceKreaStageRunner","pos":[4465,1025],"size":[820,180],"flags":{},"order":146,"mode":0,"inputs":[],"outputs":[],"title":"VELVET VICE · RENDER THIS STAGE","properties":{"ver":"2.0.5","Node name for 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S&R":"VelvetViceKreaOllamaReleaseBarrier","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"},"vvk_design_system":"KREA","vvk_role":"PROMPT","vvk_badge":"RELEASE","cnr_id":"velvet-vice-krea"},"widgets_values":[true,20],"color":"#27473d","bgcolor":"#101a17","title":"VELVET VICE · OLLAMA RELEASE BARRIER"},{"id":359,"type":"VelvetViceKreaPromptFirstGate","pos":[2400,1345],"size":[570,430],"flags":{},"order":154,"mode":0,"inputs":[{"name":"prompt","type":"STRING","link":711},{"name":"workflow_mode","type":"VELVET_VICE_KREA_MODE","link":712},{"name":"create_model","type":"MODEL","link":713},{"name":"create_clip","type":"CLIP","link":714},{"name":"create_vae","type":"VAE","link":715},{"name":"native_model","type":"MODEL","link":716},{"name":"native_clip","type":"CLIP","link":717},{"name":"native_vae","type":"VAE","link":718},{"name":"classic_model","type":"MODEL","link":719},{"name":"classic_clip","type":"CLIP","link":720},{"name":"classic_vae","type":"VAE","link":721},{"name":"native_preprocessed_image","type":"IMAGE","link":722},{"name":"native_original_latent","type":"LATENT","link":723}],"outputs":[{"name":"prompt","type":"STRING","links":[706,708,709]},{"name":"create_model","type":"MODEL","links":[639,640,641,642,650,659,668,677]},{"name":"create_clip","type":"CLIP","links":[643,644,645,651,660,669,678,686,687,688,689,690,691,692,693,694,695]},{"name":"create_vae","type":"VAE","links":[8,16,20,24,30,35,652,661,670,679]},{"name":"native_model","type":"MODEL","links":[596,622]},{"name":"native_clip","type":"CLIP","links":[597]},{"name":"native_vae","type":"VAE","links":[169,628]},{"name":"classic_model","type":"MODEL","links":[613]},{"name":"classic_clip","type":"CLIP","links":[590,591]},{"name":"classic_vae","type":"VAE","links":[188,191]},{"name":"native_preprocessed_image","type":"IMAGE","links":[160,167,626]},{"name":"native_original_latent","type":"LATENT","links":[166]},{"name":"active_branch","type":"STRING","links":[]}],"properties":{"ver":"2.0.5","Node 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[krea2_turbo-XX_X.gguf](https://huggingface.co/vantagewithai/Krea-2-Turbo-GGUF/tree/main)\n\n**GGUF - Raw**\n\n- [krea2_raw-XX_X.gguf](https://huggingface.co/vantagewithai/Krea-2-Raw-GGUF/tree/main)\n\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen3-VL/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors?download=true)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors)\n\n**LoRAs**\n\n- [krea2_identity_edit_v1_1.safetensors](https://huggingface.co/conradlocke/krea2-identity-edit/resolve/main/krea2_identity_edit_v1_1.safetensors?download=true)\n- [krea2_identity_edit_v1.safetensors](https://huggingface.co/conradlocke/krea2-identity-edit/resolve/main/krea2_identity_edit_v1.safetensors?download=true)\n\n**Custom Node**\n\n- [comfyui-krea2edit](https://github.com/lbouaraba/comfyui-krea2edit)\n\nLocation\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 unet/\n│ │ └── krea2_turbo-XX_X.gguf\n│ ├── 📂 diffusion_models/\n│ │ └── krea-2-turbo-fp8.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── krea2_identity_edit_v1_1.safetensors\n```\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 33, + "type": "ResolutionSelector", + "pos": [ + -1569.628553216759, + 838.1832139659505 + ], + "size": [ + 348.35875658344094, + 126 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "width", + "type": "INT", + "links": [ + 38, + 50 + ] + }, + { + "name": "height", + "type": "INT", + "links": [ + 39, + 51 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.25.0", + "Node name for S&R": "ResolutionSelector", + "ue_properties": { + "widget_ue_connectable": { + "aspect_ratio": true, + "megapixels": true, + "multiple": true + }, + "version": "7.8", + 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(uncensored)](https://civitai.red/models/2731187/moody-krea-2-mix-uncensored)\n\n**text_encoders**\n- [Qwen3-VL 4B Abliterated (ComfyUI / Krea 2 Text Encoder) BF16](https://civitai.red/models/2731465/qwen3-vl-4b-abliterated-comfyui-krea-2-text-encoder-bf16-fp8)\n\n**vae**\n\n- [Wan2_1_VAE_fp32.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_fp32.safetensors)\n\n**Upscale_models**\n\n- [1x-SkinContrast-High-SuperUltraCompact](https://openmodeldb.info/models/1x-SkinContrast-High-SuperUltraCompact)\n\n- [4x-ClearRealityV1](https://huggingface.co/skbhadra/ClearRealityV1/commit/bc01e27b38eec683dc6e3161dd56069c78e015ac)\n\n**Recommended LoRAs Optional**\n\n- [Krea2 NSFW v3](https://civitai.red/models/2725430/krea-2-nsfw-v3?modelVersionId=3071760)\n\n- [Realism Engine Ideogram Krea 2](https://civitai.red/models/2688234/realism-engine-ideogram-4-krea-2?modelVersionId=3070702)\n\n- 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Required Node Packs: [Use Comfy Manager search]

  • ComfyUI-Lora-Manager
  • Pixaroma
  • Recommended but not needed for the workflow: RGThree Nodes 

Sampler / Scheduler suggestions

  • euler / simple
  • euler_ancestral / bong_tangent (My current preferred)
  • er_sde/beta
  • DPM++ 2M SDE / Simple

## Model Links (for Local Users)

For BF16 and NVFP4 variants, see Comfy-Org/Krea-2


**diffusion_models**


Krea 2 Original Model

Krea 2 Turbo on Civitai

Krea 2 Turbo on HuggingFace


NSFW: 

BF95 Krea2 Dark Realism

Moody Krea2 Mix

UnstableBastard


**text_encoders**

Model Default - qwen3vl_4b_fp8_scaled.safetensors

NSFW Option - ahmed22xa/Huihui-Qwen3-VL-4B-Instruct-abliterated-comfy


**vae**

Model Default - qwen_image_vae.safetensors

Optional - Krea2-HD-V1


**loras**

Krea2FilterBypass

Krea2 TextFusion Refusal-Reduction LoRA

NSFW Slider

The best character LoRA's are here at RLY THOT Shot Collection


## Model Storage Location

```

📂 ComfyUI/

├── 📂 models/

│ ├── 📂 diffusion_models/

│ │ └── krea2_turbo_fp8_scaled.safetensors

│ ├── 📂 text_encoders/

│ │ └── qwen3vl_4b_fp8_scaled.safetensors

│ ├── 📂 vae/

│ │ └── qwen_image_vae.safetensors

│ └── 📂 loras/

│ └── <lora name>.safetensors

```


## Report Issue


Note: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.


- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)

- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)

- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)


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Place the `.safetensors` files in `ComfyUI/models/loras/`.\n\n| LoRA | Trigger Words | Recommended Strength |\n|--------------------|--------------------------------------|-------|\n| [krea2_coolblue](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_coolblue.safetensors) | teal watercolor illustration style | 0.8 |\n| [krea2_darkbrush](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_darkbrush.safetensors) | monochrome ink wash style | 1.0 |\n| [krea2_plasmoid](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_plasmoid.safetensors) | ethereal shimmering light style | 0.8 |\n| [krea2_warmpastel](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_warmpastel.safetensors) | muted minimalist sketch style | 0.8 |"],"color":"#222","bgcolor":"#000"},{"id":48,"type":"MarkdownNote","pos":[-491.2592095269144,-603.3333333333317],"size":[700,990],"flags":{},"order":5,"mode":0,"inputs":[],"outputs":[],"title":"Model Links","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links (for Local Users)\n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [krea2_warmpastel.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_warmpastel.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── krea2_warmpastel.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"],"color":"#222","bgcolor":"#000"},{"id":67,"type":"PrimitiveBoolean","pos":[1688.602266755951,744.0750395879853],"size":[270,110],"flags":{},"order":6,"mode":0,"inputs":[],"outputs":[{"name":"BOOLEAN","type":"BOOLEAN","links":[92]}],"title":"Boolean (Refine Prompt?)","properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"PrimitiveBoolean","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[false]},{"id":75,"type":"KSampler","pos":[3238.602266755951,-195.92496041201468],"size":[320,590],"flags":{},"order":30,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":78},{"name":"positive","type":"CONDITIONING","link":104},{"name":"negative","type":"CONDITIONING","link":122},{"name":"latent_image","type":"LATENT","link":80},{"name":"seed","type":"INT","widget":{"name":"seed"},"link":107}],"outputs":[{"name":"LATENT","type":"LATENT","slot_index":0,"links":[81]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"KSampler","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[712507714222001,"randomize",10,1,"euler","simple",1]},{"id":56,"type":"CLIPLoader","pos":[2188.602266755951,54.075039587985316],"size":[450,170],"flags":{},"order":7,"mode":0,"inputs":[],"outputs":[{"name":"CLIP","type":"CLIP","links":[76,85]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"CLIPLoader","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"models":[{"name":"qwen3vl_4b_fp8_scaled.safetensors","url":"https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors","directory":"text_encoders"}]},"widgets_values":["qwen3vl_4b_fp8_scaled.safetensors","krea2","default"]},{"id":58,"type":"ConditioningZeroOut","pos":[2834.3879797558657,126.38240736756497],"size":[225,26],"flags":{"collapsed":false},"order":28,"mode":0,"inputs":[{"name":"conditioning","type":"CONDITIONING","link":83}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[122]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"ConditioningZeroOut","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[]},{"id":72,"type":"UNETLoader","pos":[2190.2471780695732,-356.41676262616073],"size":[450,140],"flags":{},"order":8,"mode":0,"inputs":[],"outputs":[{"name":"MODEL","type":"MODEL","links":[84,108]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"UNETLoader","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"models":[{"name":"krea2_turbo_fp8_scaled.safetensors","url":"https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors","directory":"diffusion_models"}]},"widgets_values":["krea2_turbo_fp8_scaled.safetensors","default"]},{"id":50,"type":"MarkdownNote","pos":[328.59261745876194,-692.9630126953105],"size":[700,990],"flags":{},"order":9,"mode":0,"inputs":[],"outputs":[],"title":"Note: Krea-2","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["This workflow generates images with **Krea-2 Turbo**, a fast distilled text-to-image model. The workflow is organized into a few parts: each handles a different step so you can generate quickly without digging through every node.\n\n## Text to Image (Krea-2 Turbo) Subgraph\n\nDouble-click this node to open the full pipeline. Inside, the canvas is grouped into several areas:\n\n**Models**: Loads the diffusion model, text encoder, VAE, and optional style LoRA (`LoraLoaderModelOnly`).\n\n**Prompt**: Enter your image description in **Text String (User Prompt)**.\n\n**Prompt Enhancement**: Expands your prompt before generation. Enabled by default (`prompt_enhance`). 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The workflow uses your selection to automatically append the correct **trigger word** to your prompt.\n\n- Download LoRA files from [Comfy-Org/Krea-2/loras](https://huggingface.co/Comfy-Org/Krea-2/tree/main/loras) and place them in `ComfyUI/models/loras/`\n- Select the LoRA name that matches the file loaded inside the subgraph\n- The trigger word is applied for you: no need to type it manually\n- For trigger words and recommended strength values, see the **LoRA Trigger Words and Settings** note beside this workflow\n"],"color":"#222","bgcolor":"#000"},{"id":29,"type":"SaveImage","pos":[1242.7191023162654,-382.894027126353],"size":[356.796875,750.421875],"flags":{},"order":33,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":130}],"outputs":[{"name":"images","type":"IMAGE","links":null}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for 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She wears a cropped black leather biker jacket exploding with oversized metallic conical studs and spikes across the shoulders, paired with a minimal black bikini bottom, sheer black thigh-high stockings, and chunky knee-high lace-up combat platform boots. Her toned, athletic physique is fully exposed at the midriff.\n\nShe sits regally upon an ornate throne carved in the shape of a snarling, fanged beast's head — part dragon, part demonic feline — its silver-grey surface intricately detailed with bones, scales, and gothic ornamentation. Her booted foot rests on a battered metal road case wrapped in heavy chains and covered in stickers and band decals.\n\nIn her right hand she grips a massive medieval war scythe, its long wooden shaft wrapped in leather, the enormous curved blade arcing dramatically over her head. Perched on her left fist, talons gripping her knuckles, is a majestic American bald eagle with pristine white head feathers and a sharp yellow beak, staring off to the side with predatory alertness.\n\nStudio lighting is hard and theatrical, casting crisp shadows. The composition is symmetrical, iconic, and poster-like — punk rock goddess of war meets American mythology. Hyperrealistic, high-fashion photography, 8k, sharp detail, magazine cover quality."],"color":"#232","bgcolor":"#353"},{"id":71,"type":"LoraLoaderModelOnly","pos":[2195.3065987579557,-160.4509960330259],"size":[450,170],"flags":{},"order":14,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":84}],"outputs":[{"name":"MODEL","type":"MODEL","links":[93]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"LoraLoaderModelOnly","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"models":[{"name":"krea2_warmpastel.safetensors","url":"https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_warmpastel.safetensors","directory":"loras"}]},"widgets_values":["Krea2\\krea2_warmpastel.safetensors",0.8]},{"id":73,"type":"ConditioningKrea2Rebalance","pos":[3625.345712828627,-111.62328137950776],"size":[299.875,139.578125],"flags":{},"order":29,"mode":4,"inputs":[{"name":"conditioning","type":"CONDITIONING","link":103}],"outputs":[{"name":"conditioning","type":"CONDITIONING","links":[104]}],"properties":{"Node name for S&R":"ConditioningKrea2Rebalance","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.8"}},"widgets_values":[1,"1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.5,5.0,1.1,4.0,1.0"]},{"id":47,"type":"MarkdownNote","pos":[344.97507000887657,491.3846762314654],"size":[640,310],"flags":{},"order":4,"mode":0,"inputs":[],"outputs":[],"title":"LoRA Trigger Words and Settings","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["Download the style LoRAs used in this workflow from [Comfy-Org/Krea-2/loras](https://huggingface.co/Comfy-Org/Krea-2/tree/main/loras). Place the `.safetensors` files in `ComfyUI/models/loras/`.\n\n| LoRA | Trigger Words | Recommended Strength |\n|--------------------|--------------------------------------|-------|\n| [krea2_coolblue](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_coolblue.safetensors) | teal watercolor illustration style | 0.8 |\n| [krea2_darkbrush](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_darkbrush.safetensors) | monochrome ink wash style | 1.0 |\n| [krea2_plasmoid](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_plasmoid.safetensors) | ethereal shimmering light style | 0.8 |\n| [krea2_warmpastel](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_warmpastel.safetensors) | muted minimalist sketch style | 0.8 |"],"color":"#222","bgcolor":"#000"},{"id":48,"type":"MarkdownNote","pos":[-491.2592095269144,-603.3333333333317],"size":[700,990],"flags":{},"order":5,"mode":0,"inputs":[],"outputs":[],"title":"Model Links","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links (for Local Users)\n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [krea2_warmpastel.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_warmpastel.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── krea2_warmpastel.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"],"color":"#222","bgcolor":"#000"},{"id":67,"type":"PrimitiveBoolean","pos":[1688.602266755951,744.0750395879853],"size":[270,110],"flags":{},"order":6,"mode":0,"inputs":[],"outputs":[{"name":"BOOLEAN","type":"BOOLEAN","links":[92]}],"title":"Boolean (Refine Prompt?)","properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"PrimitiveBoolean","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[false]},{"id":75,"type":"KSampler","pos":[3238.602266755951,-195.92496041201468],"size":[320,590],"flags":{},"order":30,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":78},{"name":"positive","type":"CONDITIONING","link":104},{"name":"negative","type":"CONDITIONING","link":122},{"name":"latent_image","type":"LATENT","link":80},{"name":"seed","type":"INT","widget":{"name":"seed"},"link":107}],"outputs":[{"name":"LATENT","type":"LATENT","slot_index":0,"links":[81]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"KSampler","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[712507714222001,"randomize",10,1,"euler","simple",1]},{"id":56,"type":"CLIPLoader","pos":[2188.602266755951,54.075039587985316],"size":[450,170],"flags":{},"order":7,"mode":0,"inputs":[],"outputs":[{"name":"CLIP","type":"CLIP","links":[76,85]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"CLIPLoader","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"models":[{"name":"qwen3vl_4b_fp8_scaled.safetensors","url":"https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors","directory":"text_encoders"}]},"widgets_values":["qwen3vl_4b_fp8_scaled.safetensors","krea2","default"]},{"id":58,"type":"ConditioningZeroOut","pos":[2834.3879797558657,126.38240736756497],"size":[225,26],"flags":{"collapsed":false},"order":28,"mode":0,"inputs":[{"name":"conditioning","type":"CONDITIONING","link":83}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[122]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"ConditioningZeroOut","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[]},{"id":72,"type":"UNETLoader","pos":[2190.2471780695732,-356.41676262616073],"size":[450,140],"flags":{},"order":8,"mode":0,"inputs":[],"outputs":[{"name":"MODEL","type":"MODEL","links":[84,108]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"UNETLoader","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}},"models":[{"name":"krea2_turbo_fp8_scaled.safetensors","url":"https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors","directory":"diffusion_models"}]},"widgets_values":["krea2_turbo_fp8_scaled.safetensors","default"]},{"id":50,"type":"MarkdownNote","pos":[328.59261745876194,-692.9630126953105],"size":[700,990],"flags":{},"order":9,"mode":0,"inputs":[],"outputs":[],"title":"Note: Krea-2","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["This workflow generates images with **Krea-2 Turbo**, a fast distilled text-to-image model. The workflow is organized into a few parts: each handles a different step so you can generate quickly without digging through every node.\n\n## Text to Image (Krea-2 Turbo) Subgraph\n\nDouble-click this node to open the full pipeline. Inside, the canvas is grouped into several areas:\n\n**Models**: Loads the diffusion model, text encoder, VAE, and optional style LoRA (`LoraLoaderModelOnly`).\n\n**Prompt**: Enter your image description in **Text String (User Prompt)**.\n\n**Prompt Enhancement**: Expands your prompt before generation. Enabled by default (`prompt_enhance`). 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The workflow uses your selection to automatically append the correct **trigger word** to your prompt.\n\n- Download LoRA files from [Comfy-Org/Krea-2/loras](https://huggingface.co/Comfy-Org/Krea-2/tree/main/loras) and place them in `ComfyUI/models/loras/`\n- Select the LoRA name that matches the file loaded inside the subgraph\n- The trigger word is applied for you: no need to type it manually\n- For trigger words and recommended strength values, see the **LoRA Trigger Words and Settings** note beside this workflow\n"],"color":"#222","bgcolor":"#000"},{"id":29,"type":"SaveImage","pos":[1242.7191023162654,-382.894027126353],"size":[356.796875,750.421875],"flags":{},"order":33,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":130}],"outputs":[{"name":"images","type":"IMAGE","links":null}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for 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边缘到边缘的剃刀般锐利微距细节,呈现于扶手的金属光泽、水的晶体边缘与建筑纹理之上,引人注目的体积光效,强烈的自然对比,宏大的空间纵深,极致的视觉保真度。\n\n以第一人称视角呈现,描绘了昏暗房间中的亲密场景。主体是一位女性,泛着细腻的光泽与薄汗。目光视着观者。饱满的双唇微启,带着愉悦的神情。她仰卧在深蓝绿色的织物枕头上,双臂举过头顶。一双男性的手正托握并揉捏着她丰满浑圆的乳房,乳头微微挺立。双乳之间,一根细节清晰的勃起阴茎居于正中。光线柔和漫射,自上方洒落,投下轻柔的阴影,勾勒出她身体的曲线,营造出强烈的真实感。 整体色调偏冷且柔和,以深绿色、黑色和苍白的肤色为主,广角镜头边缘带有微弱的暗角效果。\n\n坐在木制厨房餐桌旁,明亮的自然日光透过窗户洒入,戴着细金属圆框眼镜,微笑着,目光微微向上望向镜头,身体略微前倾,穿着休闲、微微敞开的日常浴袍,露出一只丰满的乳房,手中拿着茶杯,面前桌上放着甜点和另一只杯子,周围环绕着盆栽绿植、干净的白色橱柜和木质台面,整体呈现为退化 VHS 摄像机美学:低分辨率模拟柔化、弱对比、水平扫描线、色度噪点、色彩溢出、严重颗粒感磁带纹理、跟踪失真、轻微隔行伪影、不稳定曝光、轻微运动模糊、冷峻诡异的拾得录像氛围、旧录像带的暂停帧,以平视中近景拍摄,浅景深使背景元素模糊,光线为刺眼的自然阳光,投下柔和阴影,调色偏灰暗、低饱和,写实程度高但风格化模仿 20 世纪 90 年代末/21 世纪初 VHS 衰减效果,画面中没有其他人物, 以主体为中心的构图,静态姿势,姿态中带有微妙的张力,\n\n\n戴着圆形细金属框眼镜,坐在一把银灰色金属腿的椅子上,面朝镜头,目光微微上扬而温柔,微笑;她的身体明显前倾,肘部微微弯曲,双手稳稳地放在膝盖上方的大腿前侧,全身赤裸,仅穿着一件透明丝绸睡袍,宽松地垂覆在身上;她位于中景画面的中央,背景是一间明亮通透的客厅,自然阳光从窗户洒入,自左前方均匀照亮整个场景,投下柔和阴影,她身后的一台大电视屏幕播放着英语新闻,其下方是白灰色护墙板,两侧有沙发、木质家具、盆栽绿植和浅色地毯,所有元素都清晰对焦,浅景深突出她的身形,使背景柔和虚化,采用照片级写实风格拍摄,高度逼真,细节锐利,肌肤质感自然,无可见噪点或颗粒,电影感布光,暖色环境色调,色彩鲜明而干净,以白色为主调, 灰色、柔和的绿色,营造出一种休闲、年轻、日常的校园氛围。\n\n极近距离特写,低角度仰拍视角,从下往上正对一名女子的脸。目光直视观众,表情害羞,浅黑色口红,,她全身赤裸,皮肤覆盖着一层油亮的光泽,身体前倾压向镜头,舌头伸出,沿着粗大勃起的阴茎下缘舔舐。她的手握着柱身,长长的美甲上涂着同样光泽的黑色。皮肤与肉体上有湿润的高光反射,浅景深,背景是虚化的深青绿色花纹织物,柔和的正面光。"],"widgets_values_named":{"text":"脸颊泛着自然的红晕,戴着细边透明矩形框眼镜,镜片微微放大眼神,直视镜头。她的头微微向左倾斜,右手托在下巴下方,手指轻轻蜷曲贴着脸颊,拇指靠近下颌线,手肘伸出画面外,无名指上戴着一枚小巧的银戒指。她穿着一件舒适的黑白横条纹罗纹针织毛衣,条纹纹理清晰可见,袖口和下摆为罗纹收边,内搭一件纯黑色上衣。 她头顶两侧悬浮着大号手绘白色猫耳,内部带有弯曲的锯齿状线条,双颊各有三段短促的白色猫须线,一个白色对话气泡指向她,内含黑色无衬线字体的韩文“Kiss me”。柔和均匀的正面室内光线在头发和眼镜上形成轻柔高光,下巴和手指下方带有细微阴影,纯浅米色墙面背景,高分辨率对焦于面部和细节,毛衣上呈现丰富的针织纹理,自然肤色和发丝\n\n\n\n她直视镜头,微微吐舌,神情挑逗而迷人。她身穿白色罗纹棉质背心,背景为纯黑色,无反射,使主体格外突出。\n这是一个中近景镜头,聚焦于女性的上半身。她的头微微向右倾斜。她用左手拉起白色背心的左侧,完全露出她丰满、圆润且形状完美的左胸,乳头明显突出。她的右手抬到嘴边,食指和拇指比出一个“OK”的手势,舌头正俏皮地触碰着这个手势。布光为柔和的影棚设置,主光源从左上角打下,在她的面部、胸部及手部投下柔和的高光,同时一道微妙的轮廓光在深色背景中勾勒出她的身形。质感细节极为丰富,从棉质上衣的细密织纹、到肌肤真实的光泽与毛孔,无不清晰可见。构图居中且充满亲密感,与观者建立起强烈的联结。画面呈现极为锐利清晰,无任何动态模糊或大气效果。\n\n\n双腿分开蹲下,露出光滑的私处,右手两指撑开私处,左手抬起,手腕完全遮住双眼,露出腋下,身体沾满精液,腿部穿着黑色丝袜,背景为室内,柔和温暖的灯光\n\n微微含笑侧目,优雅地斜倚在传统中式房间内一张雕花木长椅上,房间有精巧的格子窗,以近乎单色的淡蓝、白和奶油色调渲染,营造出朦胧、近乎过曝的梦幻氛围。细小的光点如雪或花粉般飘浮在空气中。环境柔焦且富有绘画感,高调光线,轻柔散景,宁静怀旧的情绪,横向构图。\n\n脸颊泛着深沉浓烈的红晕,嘴巴微张露出惊讶挑逗的喘息表情,一条普通的粉色舌头伸出来,光滑白皙的肌肤上闪烁着晶莹的汗珠,脖子上戴着细黑色颈链,,裸体,腿上穿着白色半透明薄丝袜,红色美甲,黑色红底细跟高跟鞋,她仰面躺着,双腿抬起向观者张开,戏剧性的低角度视角,双手放在大腿附近,充满动感的挑逗姿势,背景昏暗且柔和虚化\n\n她上半身赤裸,展现出纤细而富有运动感的身材,胸部丰满圆润挺拔,乳晕呈粉色且轮廓分明,腹部紧实,肚脐清晰可见,身体训练痕迹,肌肤光滑柔软。背景是一个光线明亮的游泳池,池水清澈见底,呈现出生机勃勃的碧蓝色。透过水面可以看到池底由浅蓝色方形瓷砖铺成的网格,因水的折射而扭曲变形,并闪烁着波光粼粼的焦散光纹。\n具体内容:这是一个中近景镜头,采用竖版人像比例,聚焦于女性从臀部到头顶的部分。她站在齐腰深的泳池中,身体微微转向观众的左侧,同时直视镜头,表情平静而温柔。她的右臂抬起,肘部弯曲成 90 度角,手轻轻穿过右耳上方湿漉漉的头发,左臂部分浸在水中,略微向外伸展。场景被明亮、柔和的头顶阳光照亮,在她的皮肤、头发和水面上形成柔和的高光,自然的阴影勾勒出她的身形。水面有细微的涟漪,反射着明亮的光线。\n\n\n侧卧在米色沙发上,沙发表面带有清晰粗犷的编织纹理。她的头枕在一个印有白、蓝、黑三色粗竖条纹的大靠枕上,头发自然下垂,十分柔软的乳房自然下垂,正以柔和而中性的表情直视镜头。她赤裸上身,露出丰满圆润的乳房与浅粉色乳晕,双手环胸。下身穿着高腰细绳式黑色蕾丝情趣丁字裤勒出阴户,骆驼趾。她的姿态放松,躯干微微弓起,右臂弯曲置于头侧,构成自然而迷人的构图。焦点锐利地锁定在面部与上半身,每个细节都呈现出极致清晰的质感。光线明亮暧昧,\n\n一张以 16mm 广角镜头从略微俯视角度拍摄的超精细超写实 8k 原始照片,营造出戏剧性的空间汇聚感、极致的纵向深度以及沉浸式的实体体积感,场景以强烈的高对比明暗对照光线为特征,明亮的暖阳透过高大的背景窗户倾泻而入,在深色大理石地板上投下漫长而锐利的阴影,并照亮水面上错综复杂的光影反射,女性以四分之三姿态呈现,正从一座优雅的室内泳池中攀爬而出,她的目光若有所思地转向一侧,她裸露在外的面部、肩部、手臂、躯干及腿部肌肤呈现出极致细腻、干燥且如天鹅绒般的哑光质感,凸显出超细微的毛孔纹理、逼真的干燥肌肤颗粒感以及无瑕均匀的肤色,整体完全哑光处理,纯净无瑕, 并且严格没有任何水滴、湿润光泽、反光、潮气、露珠感、油光、汗水、纹身、身体标记或墨迹,她身穿一件光滑贴身的黑色不对称连体泳衣,躯干处带有大胆的斜向镂空剪裁和单肩带设计,双手牢牢握住泳池扶梯上闪亮的不锈钢扶手,她佩戴着一条精致低调的细项链和手腕上一只简约小巧的手镯,严格没有任何盔甲、金属护板或战术装备,周围环境是一座豪华的室内水上中心,广阔的泳池内衬着小巧、精密拼接的蓝色和蓝绿色马赛克瓷砖,头顶反射的水面闪烁着波光粼粼的光线折射,一条长长的彩色漂浮分道绳延伸至背景深处,池边铺设着深色、纹理丰富的棕色大理石地面,整体构图以带有历史质感纹理的墙壁收尾,墙上设有大窗户,明亮的光线洒入室内,背景深处悄然放置着一个高大深色的陶瓷花瓶,通过汇聚的几何线条增强了深邃的尺度感和空间透视感, 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\ No newline at end of file diff --git a/comfyui-workflow-143617565.json b/comfyui-workflow-143617565.json new file mode 100644 index 0000000000000000000000000000000000000000..f0a8bd81b91155942f3a673ff9737763fa05b313 --- /dev/null +++ b/comfyui-workflow-143617565.json @@ -0,0 +1 @@ +{"id":"08988737-a544-4ab1-99fb-22d67b7c36e3","revision":0,"last_node_id":77,"last_link_id":124,"nodes":[{"id":48,"type":"MarkdownNote","pos":[-1940,-90],"size":[700,990],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[],"title":"Model Links","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.1","input_ue_unconnectable":{}}},"widgets_values":["Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [krea2_darkbrush.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_darkbrush.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── krea2_darkbrush.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"],"color":"#222","bgcolor":"#000"},{"id":52,"type":"EmptyLatentImage","pos":[100,215],"size":[320,170],"flags":{},"order":13,"mode":0,"inputs":[{"name":"width","type":"INT","widget":{"name":"width"},"link":113},{"name":"height","type":"INT","widget":{"name":"height"},"link":114}],"outputs":[{"name":"LATENT","type":"LATENT","slot_index":0,"links":[91]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"EmptyLatentImage","ue_properties":{"widget_ue_connectable":{},"version":"7.1","input_ue_unconnectable":{}}},"widgets_values":[1024,1024,1]},{"id":54,"type":"VAEDecode","pos":[940,-405],"size":[230,100],"flags":{"collapsed":false},"order":29,"mode":0,"inputs":[{"name":"samples","type":"LATENT","link":92},{"name":"vae","type":"VAE","link":93}],"outputs":[{"name":"IMAGE","type":"IMAGE","slot_index":0,"links":[111]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"VAEDecode","ue_properties":{"widget_ue_connectable":{},"version":"7.1","input_ue_unconnectable":{}}}},{"id":70,"type":"ComfySwitchNode","pos":[980,535],"size":[340,130],"flags":{},"order":24,"mode":0,"inputs":[{"name":"on_false","type":"STRING","link":108},{"name":"on_true","type":"STRING","link":109},{"name":"switch","type":"BOOLEAN","widget":{"name":"switch"},"link":110}],"outputs":[{"name":"output","type":"STRING","links":[112]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"ComfySwitchNode","ue_properties":{"widget_ue_connectable":{},"version":"7.1","input_ue_unconnectable":{}}},"widgets_values":[false]},{"id":51,"type":"CLIPTextEncode","pos":[-16.996277951979764,-435.45189872144107],"size":[480,420],"flags":{},"order":26,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":87},{"name":"text","type":"STRING","widget":{"name":"text"},"link":112}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","slot_index":0,"links":[89,94]}],"properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"CLIPTextEncode","ue_properties":{"widget_ue_connectable":{},"version":"7.1","input_ue_unconnectable":{}}},"widgets_values":["A high-resolution, surreal digital illustration showing a human hand holding a martini glass. 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The workflow is organized into a few parts: each handles a different step so you can generate quickly without digging through every node.\n\n## Text to Image (Krea-2 Turbo) Subgraph\n\nDouble-click this node to open the full pipeline. Inside, the canvas is grouped into several areas:\n\n**Models**: Loads the diffusion model, text encoder, VAE, and optional style LoRA (`LoraLoaderModelOnly`).\n\n**Prompt**: Enter your image description in **Text String (User Prompt)**.\n\n**Prompt Enhancement**: Expands your prompt before generation. Enabled by default (`prompt_enhance`). 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Krea2 central controls\n\n- **Native loader block:** UNETLoader + Qwen3-VL 4B CLIPLoader (`krea2`) + Qwen Image VAE.\n- **Turbo defaults:** Euler / Simple / CFG 1.0; Quality steps 8 / 8 / 8 / 6 / 4.\n- **RAW models:** set steps, CFG, sampler, and scheduler to the model author's values.\n- **HR Conditioning Mode:** Detail Only (default), Global Only, or Global + Detail.\n- **Refinement Profile:** Fidelity (default), Balanced, or Creative.\n- **Fidelity denoise:** 0.22 / 0.16 / 0.10 / 0.07.\n- **Balanced denoise:** 0.26 / 0.20 / 0.14 / 0.09.\n- **Creative denoise:** 0.32 / 0.26 / 0.18 / 0.12; matches V1\n- **Fast Mode:** controls steps only: 6 / 6 / 6 / 4 / 3.\n- **Q3 Memory Saver:** 8K generative result → RTX VSR, max 16K.\n- **Native 16K:** available with Memory Saver disabled; high system RAM.\n- **Save off:** no output or temporary PNG encode/write.\n\nThe HR detail prompt should describe texture, edges, materials, and local refinement not repeat people, vehicles, or other scene 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SageAttention remains optional and off by default.\n\n## Adaptive Context controls\n\n- **Legacy Fixed (default):** V1-compatible 64/64 on 2K, 4K, 8K, and 16K.\n- **Adaptive Balanced:** 64/64 → 64/64 → 64/96 → 96/128.\n- **Adaptive Seam-Safe:** 64/96 → 64/128 → 96/160 → 128/192.\n- Format is anchor/overlap. Tile dimensions remain 1280×1280.\n- Choose Balanced for general work; use Seam-Safe for smooth gradients or visible tile transitions.\n- Square 2K/4K/8K/16K tile counts: Legacy 4/16/64/256; Balanced 4/16/81/400; Seam-Safe 4/25/121/676.\n- The selected profile and all resolved values are written into embedded HR pipeline metadata."],"color":"#4a3824","bgcolor":"#6b5134"},{"id":5,"type":"03dc01ba-8cec-4bb3-a868-a86325a9b013","pos":[-71.82616657601322,276.1744216471843],"size":[500,1610],"flags":{},"order":12,"mode":0,"inputs":[{"label":"Source Image (I2I only)","name":"source_image","type":"IMAGE","link":1},{"label":"Positive Prompt","name":"positive_prompt","type":"STRING","widget":{"name":"positive_prompt"},"link":2},{"label":"High-Resolution Detail Prompt","name":"detail_prompt","type":"STRING","widget":{"name":"detail_prompt"},"link":3},{"label":"Negative Prompt","name":"negative_prompt","type":"STRING","widget":{"name":"negative_prompt"},"link":4},{"label":"01 • Krea2 Diffusion 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The backend uses **qwen3vl_4b_fp8_scaled.safetensors**, fixed CLIP type **krea2**, and **qwen_image_vae.safetensors**. Turbo-compatible defaults remain Euler / Simple / CFG 2.0 / 8 base steps; RAW models should use their author-recommended steps and CFG.\n\n**HR Conditioning Mode** defaults to **Detail Only**, so tile passes refine the existing image without replaying the global scene narrative. **Refinement Profile** defaults to **Fidelity**. Global Only and Global + Detail remain selectable, and the Creative profile reproduces the V1 denoise schedule. Every mode uses one selected HR text, one CLIP encode, and one HR guider—no DualCFG diffusion branch is added.\n\nThis workflow uses the Classic/Legacy renderer and does not require Nodes 2.0 beta.\n\n## Required model files\n- [Krea2 diffusion model](https://huggingface.co/Comfy-Org/Krea-2/tree/main/diffusion_models)\n- [Qwen3-VL 4B text encoder](https://huggingface.co/Comfy-Org/Krea-2/tree/main/text_encoders)\n- [Qwen Image VAE](https://huggingface.co/Comfy-Org/Krea-2/tree/main/vae)\n\n## Required custom nodes\n- [Context-Anchored Tile Refine](https://github.com/Blakeem/ComfyUI-ContextAnchoredTileRefine)\n- [ComfyUI-DaSiWa-Nodes](https://github.com/darksidewalker/ComfyUI-DaSiWa-Nodes)\n- [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)\n- [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)\n\n## Optional\n- [SageAttention](https://github.com/thu-ml/SageAttention) — disabled by default; benchmark before use with Krea2\n\n## Adaptive Context Profile • V1.1\n\n**Legacy Fixed** is the default and preserves V1 exactly: every generative pass uses a 1280×1280 tile with anchor 64 and overlap 64. **Adaptive Balanced** increases context economically: 2K 64/64, 4K 64/64, 8K 64/96, 16K 96/128. **Adaptive Seam-Safe** uses 2K 64/96, 4K 64/128, 8K 96/160, and 16K 128/192 for smooth skies, fog, gradients, and long cross-tile structures.\n\nValues are shown as **anchor/overlap** in pixels. 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Once the baseline is understood, users are encouraged to extend the workflow to suit their own production pipelines.\n\nWorkflow Type\n\nImage-to-Image (Identity-Preserving Editing)\n\nThis workflow uses the Krea2 Identity Edit LoRA together with the ComfyUI-Krea2Edit custom nodes.\n\nUnlike traditional Image-to-Image workflows that rely primarily on denoising strength, this implementation uses Krea2's reference-guided editing pipeline to preserve the original subject while applying natural-language edit instructions.\n\nAbout this Workflow\n\nThe goal of this reference workflow is to provide a simple, educational implementation of the core editing pipeline.\n\nTypical editing tasks include:\n\n✓ Clothing color changes\n\n✓ Background replacement\n\n✓ Object addition and removal\n\n✓ Character re-staging\n\n✓ Style transfer\n\n✓ Identity-preserving modifications\n\nObserved Behavior\n\nDuring validation, the workflow produced:\n\n✓ Excellent identity preservation\n\n✓ Strong facial consistency\n\n✓ Natural lighting preservation\n\n✓ Very good prompt adherence\n\n✓ High-quality localized edits\n\nAs with most AI image editing workflows, results may vary depending on:\n\nEdit instruction\nRandom seed\nReference image quality\nref_boost setting\n\nIf the desired edit is not achieved on the first attempt, consider:\n\nRefining the edit instruction\nTrying a different random seed\nAdjusting the ref_boost value\nRegenerating the image\nVersion\n\nVersion 1.0\n\nCreated as a minimal reference workflow for getting started with Krea2 Identity Edit.\n\nPurpose\n\n✓ Educational\n\n✓ Minimal\n\n✓ Easy to extend\n\n✓ Low VRAM Friendly\n\nVerified\n\n✓ Identity-Preserving Image Editing\n\n✓ Image-to-Image Editing\n\nVerified Settings\n\n✓ Steps: 10\n\n✓ CFG: 1.0\n\n✓ Sampler: Euler\n\n✓ Scheduler: Simple\n\n✓ LoRA Strength: 1.0\n\nThese settings were used during validation and are recommended as the baseline configuration.\n\nVerified Resolution\n\n✓ 832 × 1216\n\nAdditional resolutions may also work depending on the reference image and editing task.\n\nHardware Tested\n\n✓ NVIDIA RTX 2080 (8 GB VRAM)\n\n✓ 64 GB System RAM\n\n✓ ComfyUI 0.27.x\n\nResources\nBase Model\n\n• Krea2 Turbo\n\nLoRA\n\n• Krea2 Identity Edit v1.2\n\nCustom Nodes\n\n• ComfyUI-Krea2Edit\n\nAdditional Documentation\n\nThis workflow intentionally keeps the embedded documentation concise.\n\nFor installation instructions, recommended settings, supported features, known limitations, and future updates, please refer to the original author's project page.\n\nCredits\n\nSpecial thanks to the original author of Krea2 Identity Edit for creating and maintaining both the LoRA and the accompanying custom nodes.\n\nPlease refer to the original project page for complete documentation, release notes, and future updates."],"color":"#323","bgcolor":"#535"},{"id":21,"type":"Note","pos":[-1857.866168204341,55.287199618684454],"size":[327.38888888888914,934.8333333333333],"flags":{},"order":3,"mode":0,"inputs":[],"outputs":[],"title":"Resources","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["Important\n\nThis workflow relies on the ComfyUI-Krea2Edit custom node for reference-guided image conditioning. 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"STRING", + "type": "STRING", + "links": null + } + ], + "title": "Set_str_model_main", + "properties": { + "Node name for S&R": "SetNode [Eclipse]", + "previousName": "str_model_main" + }, + "widgets_values": [ + "str_model_main" + ], + "color": "#000000", + "bgcolor": "#000000" + }, + { + "id": 15, + "type": "SetNode [Eclipse]", + "pos": [ + 28201, + 3981 + ], + "size": [ + 181.09375, + 8 + ], + "flags": { + "collapsed": true + }, + "order": 393, + "mode": 0, + "inputs": [ + { + "name": "STRING", + "type": "STRING", + "link": 10 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": null + } + ], + "title": "Set_str_vae_main", + "properties": { + "Node name for S&R": "SetNode [Eclipse]", + "previousName": "str_vae_main" + }, + "widgets_values": [ + "str_vae_main" + ], + "color": "#000000", + "bgcolor": "#000000" + }, + { + "id": 16, + "type": "SetNode [Eclipse]", + "pos": [ + 28201, + 4011 + ], + "size": [ + 191.15625, + 8 + ], + "flags": { + "collapsed": true 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+ "id": 18, + "type": "SetNode [Eclipse]", + "pos": [ + 28541, + 3921 + ], + "size": [ + 225, + 8 + ], + "flags": { + "collapsed": true + }, + "order": 374, + "mode": 0, + "inputs": [ + { + "name": "CLIP", + "type": "CLIP", + "link": 13 + } + ], + "outputs": [ + { + "name": "CLIP", + "type": "CLIP", + "links": null + } + ], + "title": "Set_clip_main_lora_stack", + "properties": { + "Node name for S&R": "SetNode [Eclipse]", + "previousName": "clip_main_lora_stack" + }, + "widgets_values": [ + "clip_main_lora_stack" + ], + "color": "#000000", + "bgcolor": "#000000" + }, + { + "id": 19, + "type": "GetNode [Eclipse]", + "pos": [ + 28541, + 3801 + ], + "size": [ + 177.46875, + 8 + ], + "flags": { + "collapsed": true + }, + "order": 2, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 18 + ] + } + ], + "title": "Get_model_main", + "properties": { + "Node name for S&R": "GetNode [Eclipse]" + }, + "widgets_values": [ + "model_main" + ], + "color": "#000000", + "bgcolor": "#000000" + }, + { + "id": 20, + "type": "SetNode [Eclipse]", + "pos": [ + 28542, + 3951 + ], + "size": [ + 225, + 8 + ], + "flags": { + "collapsed": true + }, + "order": 375, + "mode": 0, + "inputs": [ + { + "name": "STRING", + "type": "STRING", + "link": 14 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": null + } + ], + "title": "Set_str_loras_main_stack", + "properties": { + "Node name for S&R": "SetNode [Eclipse]", + "previousName": "str_loras_main_stack" + }, + "widgets_values": [ + "str_loras_main_stack" + ], + "color": "#000000", + "bgcolor": "#000000" + }, + { + "id": 21, + "type": "MarkdownNote", + "pos": [ + 28511, + 4462 + ], + "size": [ + 183.5, + 8 + ], + "flags": { + "collapsed": true + }, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model Links (ZIT)", + "properties": {}, + "widgets_values": [ + "## Model links\n\n**text_encoders**\n\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors)\n\n**diffusion_models**\n\n- [z_image_turbo_bf16.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/diffusion_models/z_image_turbo_bf16.safetensors)\n\n**vae**\n\n- [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors)\n\n**model_patches**\n\n- [Z-Image-Turbo-Fun-Controlnet-Union.safetensors](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union/resolve/main/Z-Image-Turbo-Fun-Controlnet-Union.safetensors)\n\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ └── qwen_3_4b.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── z_image_turbo_bf16.safetensors\n│ ├── 📂 vae/\n│ │ └── ae.safetensors\n│ └── 📂 model_patches/\n│ └── Z-Image-Turbo-Fun-Controlnet-Union.safetensors\n```\n" + ], + "color": "#8131d0", + "bgcolor": "#000" + }, + { + "id": 22, + "type": "MarkdownNote", + "pos": [ + 28511, + 4502 + ], + "size": [ + 280.234375, + 8 + ], + "flags": { + "collapsed": true + }, + "order": 4, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model Links (SDXL union promax)", + "properties": {}, + "widgets_values": [ + "[controlnet-union-sdxl-1.0-promax](https://huggingface.co/brad-twinkl/controlnet-union-sdxl-1.0-promax/tree/main)" + ], + "color": "#8131d0", + "bgcolor": "#000000" + }, + { + "id": 23, + "type": "MarkdownNote", + "pos": [ + 28511, + 4421 + ], + "size": [ + 253.484375, + 8 + ], + "flags": { + "collapsed": true + }, + "order": 5, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model Links (Qwen DiffSynth)", + "properties": { + "widget_ue_connectable": {} + }, + "widgets_values": [ + "[Tutorial](https://docs.comfy.org/tutorials/image/qwen/qwen-image) \n\n\n## Model links\n\nYou can find all the models on [Huggingface](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main) or [Modelscope](https://modelscope.cn/models/Comfy-Org/Qwen-Image_ComfyUI/files)\n\n**Diffusion model**\n\n- [qwen_image_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_fp8_e4m3fn.safetensors)\n\n**Model patches**\n\n- [qwen_image_canny_diffsynth_controlnet.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-DiffSynth-ControlNets/resolve/main/split_files/model_patches/qwen_image_canny_diffsynth_controlnet.safetensors)\n- [qwen_image_depth_diffsynth_controlnet.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-DiffSynth-ControlNets/resolve/main/split_files/model_patches/qwen_image_depth_diffsynth_controlnet.safetensors)\n- [qwen_image_inpaint_diffsynth_controlnet.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-DiffSynth-ControlNets/resolve/main/split_files/model_patches/qwen_image_inpaint_diffsynth_controlnet.safetensors)\n\n**LoRA**\n\n- [Qwen-Image-Lightning-4steps-V1.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V1.0.safetensors)\n\n**Text encoder**\n\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\n\n**VAE**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors)\n\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ ├── qwen_image_fp8_e4m3fn.safetensors\n│ │ └── qwen_image_distill_full_fp8_e4m3fn.safetensors\n│ ├── 📂 loras/\n│ │ └── Qwen-Image-Lightning-8steps-V1.0.safetensors\n│ ├── 📂 model_patches/ # create one if you can't find it\n│ │ ├── qwen_image_depth_diffsynth_controlnet.safetensors\n│ │ ├── qwen_image_canny_diffsynth_controlnet.safetensors\n│ │ └── qwen_image_inpaint_diffsynth_controlnet.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 text_encoders/\n│ └── qwen_2.5_vl_7b_fp8_scaled.safetensors\n```\n\n\nKSampler Settings:\n\nYou can test and find the best setting by yourself. The following table is for reference.\n\n| model | steps | cfg |\n|---------------------|---------------|---------------|\n| fp8_e4m3fn | 20 | 2.5 |\n| fp8_e4m3fn + 4 Steps lightning LoRA | 4 | 1.0 |\n" + ], + "color": "#8131d0", + "bgcolor": "#000" + }, + { + "id": 24, + "type": "SetNode [Eclipse]", + "pos": [ + 28201, + 4161 + ], + "size": [ + 162.71875, + 8 + ], + "flags": { + "collapsed": true + }, + "order": 387, + "mode": 0, + "inputs": [ + { + "name": "LATENT", + "type": "LATENT", + "link": 15 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": null + } + ], + "title": "Set_latent_sml", + "properties": { + "Node name for S&R": "SetNode [Eclipse]", + "previousName": "latent_sml" + }, + "widgets_values": [ + "latent_sml" + ], + "color": "#000000", + "bgcolor": "#000000" + }, + { + "id": 25, + "type": "MarkdownNote", + "pos": [ + 28511, + 4381 + ], + "size": [ + 201.046875, + 8 + ], + "flags": { + "collapsed": true + }, + "order": 6, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model Links (Krea2)", + "properties": {}, + "widgets_values": [ + "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links (for Local Users)\n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [krea2 Loras](https://huggingface.co/Comfy-Org/Krea-2/tree/main/loras)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── krea2_warmpastel.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n" + ], + "color": "#8131d0", + "bgcolor": "#3a3a3a" + }, + { + "id": 26, + "type": "SetNode [Eclipse]", + "pos": [ + 28201, + 3861 + ], + "size": [ + 176, + 8 + ], + "flags": { + "collapsed": true + }, + "order": 384, + "mode": 0, + "inputs": [ + { + "name": "MODEL", + "type": "MODEL", + "link": 16 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": null + } + ], + "title": "Set_model_main", + "properties": { + "Node name for S&R": "SetNode [Eclipse]", + "previousName": "model_main" + }, + "widgets_values": [ + "model_main" + ], + "color": "#000000", + 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after that choose the mode you want to use e.g. Standard / Standard + Union Types. You have to click the one you don't want to use, since both are active but only one is allowed.\n\n---\n\nStandard ControlNets\n- select the controlnet model that fits your checkpoint (SD15/SDXL/SD3/Flux/Union)\n- Union is not working very well with illu or Pony use deticated models like depth or canny\n\n---\n\nDiffsynth: Qwen Image / Z-Image Turbo: \n\n- change the model to qwen or zimage\n- don't use the controlnet with the Qwen Diff Lora (i2i Qwen Lora+PreProc)
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"input_ue_unconnectable": {} + } + }, + "widgets_values": [], + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 45, + "type": "Note", + "pos": [ + -16.881355740672415, + -1077.2206062266282 + ], + "size": [ + 637.6294287172427, + 209.65853699428953 + ], + "flags": { + "pinned": true + }, + "order": 6, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "POWER LORA MODULE GUIDE", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Power Lora Loader (rgthree) is now wired for both MODEL and CLIP.\nThis is the correct setup if you want LoRAs to affect not only the UNET/model but also the text encoder side.\n\nHow to use:\n1. Install rgthree-comfy.\n2. Put your LoRA files in ComfyUI/models/loras/.\n3. Add one or more LoRAs in the Power Lora Loader node.\n4. Start gently. For Krea style LoRAs, 0.6 to 0.9 is a sensible first test.\n5. Add the trigger word manually in the positive prompt when the LoRA expects one.\n\nImportant:\nThe node is in the main path on purpose. With no LoRAs enabled, it should behave as a neutral pass-through.\nIf the node UI looks broken, turn Nodes 2.0 off in ComfyUI." + ], + "color": "#234", + "bgcolor": "#456" + }, + { + "id": 53, + "type": "Note", + "pos": [ + 857.9565503397249, + -1108.5602784746038 + ], + "size": [ + 688.6475219406711, + 261.1352345799735 + ], + "flags": { + "pinned": true + }, + "order": 7, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "NEGATIVE SWITCHER GUIDE", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "This workflow now includes a switcher for the negative path.\n\nHow it works:\n- any_01 = KREA TURBO ZERO NEGATIVE (default)\n- any_02 = OPTIONAL NEGATIVE TEXT PROMPT\n- Any Switch chooses the first non-null input from top to bottom\n\nDefault behavior:\n- leave KREA TURBO ZERO NEGATIVE active\n- OPTIONAL NEGATIVE TEXT PROMPT can stay bypassed\n\nTo test a real negative prompt:\n- unbypass OPTIONAL NEGATIVE TEXT PROMPT\n- press Ctrl+M on KREA TURBO ZERO NEGATIVE to mute it\n- the switch will then use the optional negative automatically\n\nImportant:\n- keep the negative prompt short and targeted\n- if rgthree Any Switch behaves oddly in your current ComfyUI build, update rgthree / ComfyUI or fall back to manual reconnecting." + ], + "color": "#334", + "bgcolor": "#556" + }, + { + "id": 44, + "type": "Note", + "pos": [ + -801.4126907860108, + -789.8458647223027 + ], + "size": [ + 751.2837122399906, + 254.30179760606222 + ], + "flags": { + "pinned": true + }, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "RECOMMENDED OPERATION", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "1. Main generation and Krea 2 Edit are independent branches.\n2. Krea 2 Edit order: Source Image → Identity Edit LoRA → Model Patch → Grounded Edit Prompt → Turbo Sampler → Decode.\n3. SeedVR2 is optional and runs only after the edit result.\n4. Start with grounding 768 for people; lower values create stronger edits, higher values preserve likeness.\n5. Use BYPASS (Ctrl+B), not MUTE, when disabling SeedVR2." + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 11, + "type": "PreviewImage", + "pos": [ + 713.7957185080221, + -480.84414908330746 + ], + "size": [ + 508.8157054536132, + 544.3728479535523 + ], + "flags": { + "pinned": true + }, + "order": 91, + "mode": 4, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 9 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "title": "MAIN PREVIEW", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.25.0", + "Node name for S&R": "PreviewImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 10, + "type": "VAEDecode", + "pos": [ + 300.9151946240583, + 32.03090869562273 + ], + "size": [ + 140, + 46 + ], + "flags": { + "pinned": true + }, + "order": 86, + "mode": 4, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 7 + }, + { + "name": "vae", + "type": "VAE", + "link": 8 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 9, + 22, + 79, + 82 + ] + } + ], + "title": "MAIN DECODE", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.25.0", + "Node name for S&R": "VAEDecode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [], + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 1, + "type": "Note", + "pos": [ + -809.4841069171647, + -1380.7437152533007 + ], + "size": [ + 760, + 180 + ], + "flags": { + "pinned": true + }, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "ILLUMINATE AI — KREA 2 TURBO MODULAR WORKFLOW v1.5", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "MAIN BRANCH IS READY TO RUN.\nOptional modules are bypassed by default.\nCreated and tested on Windows Portable ComfyUI with an RTX 5090 32 GB.\nThe workflow is not hardware-specific; usable settings depend on available VRAM and system configuration.\nUpdate ComfyUI before loading because Krea 2 support is recent.\nLoRA-ready module added.\nPower LoRA Loader with MODEL + CLIP routing added.\nSeedVR2-only upscale branch added.\nNegative switcher added.\nFinal upscale selector added.\nRefinement -> Face Detailer -> SeedVR2 chain logic added.\nFinal-save-only output added.\nReliable SeedVR2 bypass passthrough save added.\nOptional Img2Img SeedVR2 branch added.\nOptional Img2Img Refinement + Face Detailer chain added.\nImg2Img final path now defaults to safe bypass to prevent NoneType errors when Img2Img is inactive.\nDedicated Img2Img positive and negative prompt controls added.\nImg2Img converted into an independent model/prompt system.\nDedicated Img2Img SeedVR2 DiT/VAE loaders added.\nFixed Img2Img VAE, Face Detector and main final save routing.\nFinal Save simplified to direct SeedVR2 passthrough for maximum ComfyUI compatibility.\nSimplified Img2Img branch: Refinement and Face Detailer removed for better source-image fidelity.\nKrea 2 Edit branch added with Identity Edit LoRA, Grounded Encode, Model Patch and AuraFlow sampling.\nSeedVR2 retained as optional final-resolution stage.\nVisible Krea 2 Edit denoise control added.\nClassic denoise-based Img2Img restored as a second standalone option alongside native Krea 2 Edit.\nKrea 2 Edit grounding default corrected to 768.\nClassic Img2Img source normalization added (1.4 MP / divisible by 64).\nClassic Img2Img AuraFlow shift 4 added.\nClassic Img2Img denoise default adjusted to 0.50.\nOptional Img2Img creative LoRAs disabled by default.\nCustom target-format branch added for Krea 2 Edit.\nFull SDXL-style Detailer Suite added to the main generation branch.\nFace, Hand, Penis, Vagina and Female Breast Detailers now use independent prompts,\ndetectors, review previewss.\nAll new Detailer groups are bypassed by default and retain Krea-safe Turbo settings." + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 59, + "type": "Note", + "pos": [ + -794.8000130748028, + -435.3145332680648 + ], + "size": [ + 401.3549305911208, + 521.5318945310601 + ], + "flags": { + "pinned": true + }, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "QUALITY PRESETS", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "QUALITY PRESETS\n\nKrea 2 Turbo is an 8-step distilled model. The Base sampler should normally remain at 8 steps and CFG 1.0. Quality differences are created through resolution and optional post-processing rather than SDXL-style high step counts.\n\nFAST\n\nBase:\n1024-class resolution\n8 steps\nCFG 1.0\nEuler\nSimple\nDenoise 1.0\n\nConcept Batch:\nEnabled when needed\n4 images\n8 steps\n\nQuality Refinement:\nBypass\n\nFace Detailer:\nBypass\n\nSeedVR2:\nBypass\n\nRecommended for:\nPrompt testing, LoRA testing, composition search and fast previews.\n\nQUALITY\n\nBase:\n1024–1536-class resolution\n8 steps\nCFG 1.0\nEuler\nSimple\nDenoise 1.0\n\nQuality Refinement:\nEnabled\n8 steps\nCFG 1.0\nDenoise 0.14–0.18\nRecommended: 0.16\n\nFace Detailer:\nOptional\n8 steps\nCFG 1.0\nDenoise 0.16–0.20\nRecommended: 0.18\n\nSeedVR2:\nBypass during testing\nEnable only for the selected final image\n\nRecommended for:\nMost final generations and balanced quality-to-processing time.\n\nULTRA\n\nBase:\n1536-class resolution\n8 steps\nCFG 1.0\nEuler\nSimple\nDenoise 1.0\n\nQuality Refinement:\nEnabled\n8 steps\nCFG 1.0\nDenoise 0.16–0.20\nRecommended: 0.18\n\nFace Detailer:\nEnabled for person-focused images\n8 steps\nCFG 1.0\nDenoise 0.18–0.22\nRecommended: 0.18\n\nSeedVR2:\nEnabled as the final stage\n\nFinal processing order:\nBase Generation\n→ Quality Refinement\n→ Face Detailer\n→ SeedVR2 Final Upscale\n\nRecommended for:\nFinished showcase images, publication and high-resolution final exports.\n\nMAXIMUM NATIVE\n\nBase:\nUp to 2048-class resolution\n8 steps\nCFG 1.0\nEuler\nSimple\nDenoise 1.0\n\nQuality Refinement:\nUse cautiously\nDenoise 0.12–0.16\n\nFace Detailer:\nOptional\n\nSeedVR2:\nOptional\n\nImportant:\nA 2048-class base image already requires considerably more VRAM and processing time. Running native 2K, Refinement, Face Detailer and SeedVR2 together may provide only a small visible improvement compared with a 1536-class base followed by SeedVR2.\n\nWINDOWS PORTABLE NOTE\n\nSeedVR2 torch.compile is disabled by default because it requires a correctly configured MSVC cl.exe toolchain and may conflict with certain Windows Portable or CUDA memory configurations.\n\nDisabling torch.compile does not reduce image quality. It only removes the optional compilation-based speed optimization.\n\nIMPORTANT\n\nDo not use SDXL-style settings such as:\n\n24–40 Base steps\nCFG 3.5–7.0\nLarge negative prompt blocks\n\nKrea 2 Turbo is specifically distilled for approximately 8-step inference with CFG disabled or represented as CFG 1.0 in ComfyUI.\n" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 58, + "type": "Any Switch (rgthree)", + "pos": [ + 1284.6452442694451, + -76.62571382997633 + ], + "size": [ + 267.5708984375, + 130 + ], + "flags": { + "pinned": true + }, + "order": 116, + "mode": 4, + "inputs": [ + { + "dir": 3, + "name": "any_01", + "type": "IMAGE", + "link": 81 + }, + { + "dir": 3, + "name": "any_02", + "type": "IMAGE", + "link": 82 + }, + { + "dir": 3, + "name": "any_03", + "type": "IMAGE", + "link": null + }, + { + "dir": 3, + "name": "any_04", + "type": "IMAGE", + "link": null + }, + { + "dir": 3, + "name": "any_05", + "type": "IMAGE", + "link": null + } + ], + "outputs": [ + { + "dir": 4, + "label": "IMAGE", + "name": "*", + "shape": 3, + "type": "IMAGE", + "slot_index": 0, + "links": [ + 83 + ] + } + ], + "title": "FACE DETAILER INPUT SWITCHER", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "1.0.2606200020", + "Node name for S&R": "Any Switch (rgthree)", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 2, + "type": "Note", + "pos": [ + -809.5914736465169, + -1150.051394643148 + ], + "size": [ + 760, + 310 + ], + "flags": { + "pinned": true + }, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "MODEL INSTALLATION", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Required files:\nComfyUI/models/diffusion_models/krea2_turbo_fp8_scaled.safetensors\nComfyUI/models/text_encoders/qwen3vl_4b_fp8_scaled.safetensors\nComfyUI/models/vae/qwen_image_vae.safetensors\n\nhttps://huggingface.co/Comfy-Org/Krea-2/tree/main\n\nRecommended Turbo settings: 8 steps, CFG 1.0, Euler, Simple, denoise 1.0.\nKrea 2 Turbo uses CFG-disabled/distilled behavior. The negative input is therefore generated with ConditioningZeroOut rather than a normal SDXL negative prompt.\n\nLoRAs:\nPlace Krea 2 LoRA files in ComfyUI/models/loras/.\n\nFor the Power LoRA module also install rgthree-comfy.\n" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 22, + "type": "ImageScaleBy", + "pos": [ + 1596.8283967844789, + -971.0235591169912 + ], + "size": [ + 253.35908213365428, + 110.74002273604879 + ], + "flags": { + "pinned": true + }, + "order": 92, + "mode": 4, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 22 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 23 + ] + } + ], + "title": "MILD 1.25× SCALE", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.25.0", + "Node name for S&R": "ImageScaleBy", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "lanczos", + 1.25 + ], + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 60, + "type": "ttN text", + "pos": [ + -379.5282978742228, + -435.40144463952936 + ], + "size": [ + 325.3316618109384, + 522.9293020878251 + ], + "flags": { + "pinned": true + }, + "order": 12, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "text", + "type": "STRING", + "links": null + } + ], + "title": "RESOLUTION PRESETS", + "properties": { + "cnr_id": "comfyui_tinyterranodes", + "ver": "2.0.11", + "Node name for S&R": "ttN text", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "ttNnodeVersion": "1.0.0" + }, + "widgets_values": [ + "RESOLUTION PRESETS\n\nKrea 2 Turbo is designed for approximately 1K to 2K image generation. All resolutions below use dimensions divisible by 16.\n\nSQUARE\n\nSTANDARD\n1024 × 1024\n\nHIGH QUALITY\n1536 × 1536\n\nMAXIMUM NATIVE\n2048 × 2048\n\nLANDSCAPE — 4:3\n\nSTANDARD\n1152 × 864\n\nHIGH QUALITY\n1536 × 1152\n\nMAXIMUM\n2048 × 1536\n\nPORTRAIT — 3:4\n\nSTANDARD\n864 × 1152\n\nHIGH QUALITY\n1152 × 1536\n\nMAXIMUM\n1536 × 2048\n\nLANDSCAPE — 3:2\n\nSTANDARD\n1216 × 832\n\nHIGH QUALITY\n1536 × 1024\n\nMAXIMUM\n1920 × 1280\n\nPORTRAIT — 2:3\n\nSTANDARD\n832 × 1216\n\nHIGH QUALITY\n1024 × 1536\n\nMAXIMUM\n1280 × 1920\n\nWIDESCREEN — 16:9\n\nSTANDARD\n1344 × 768\n\nHIGH QUALITY\n1728 × 976\n\nMAXIMUM\n1920 × 1088\n\nPORTRAIT — 9:16\n\nSTANDARD\n768 × 1344\n\nHIGH QUALITY\n976 × 1728\n\nMAXIMUM\n1088 × 1920\n\nULTRAWIDE — 21:9\n\nSTANDARD\n1536 × 672\n\nHIGH QUALITY\n1792 × 768\n\nMAXIMUM\n2048 × 896\n\nRECOMMENDATION\n\nUse 1024-class resolutions for fast generation and Concept Batch.\n\nUse 1536-class resolutions for final base images when additional native detail is needed.\n\nUse 2048-class resolutions only when sufficient VRAM is available and the longer generation time is acceptable.\n\nFor 4K output, generate at 1024–1536 resolution first, then use:\n\nQuality Refinement\n→ Face Detailer\n→ SeedVR2 Final Upscale\n\nGenerating directly above the intended native range is not recommended.\n" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 8, + "type": "EmptyLatentImage", + "pos": [ + -16.285691606410026, + -436.36916347844925 + ], + "size": [ + 300, + 110 + ], + "flags": { + "pinned": true + }, + "order": 13, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 6 + ] + } + ], + "title": "MAIN RESOLUTION / BATCH 1", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.25.0", + "Node name for S&R": "EmptyLatentImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 1024, + 1536, + 1 + ], + "color": "#323", + "bgcolor": "#535" + }, + { + "id": 26, + "type": "PreviewImage", + "pos": [ + 1614.532471256232, + -371.4200555254688 + ], + "size": [ + 446.3938750453699, + 464.5792938816669 + ], + "flags": { + "pinned": true + }, + "order": 115, + "mode": 4, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 31 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "title": "REFINEMENT PREVIEW", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.25.0", + "Node name for S&R": "PreviewImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 90, + "type": "SeedVR2LoadVAEModel", + "pos": [ + 5581.72666638137, + 1873.1765202434447 + ], + "size": [ + 315, + 298 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [ + { + "name": "torch_compile_args", + "shape": 7, + "type": "TORCH_COMPILE_ARGS", + "link": null + } + ], + "outputs": [ + { + "name": "SEEDVR2_VAE", + "type": "SEEDVR2_VAE", + "links": [ + 138, + 632 + ] + } + ], + "title": "IMG2IMG SEEDVR2 VAE MODEL", + "properties": { + "cnr_id": "seedvr2_videoupscaler", + "ver": "690cc39379c1481159ddd451368dbf2295930fc6", + "Node name for S&R": "SeedVR2LoadVAEModel", + "aux_id": "ainvfx/ComfyUI-SeedVR2_VideoUpscaler", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "ema_vae_fp16.safetensors", + "cuda:0", + true, + 1024, + 128, + true, + 1024, + 128, + "false", + "cpu", + false + ], + "color": "#323", + "bgcolor": "#535" + }, + { + "id": 89, + "type": "SeedVR2LoadDiTModel", + "pos": [ + 5581.72666638137, + 1623.1765202434449 + ], + "size": [ + 310, + 202 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [ + { + "name": "torch_compile_args", + "shape": 7, + "type": "TORCH_COMPILE_ARGS", + "link": null + } + ], + "outputs": [ + { + "name": "SEEDVR2_DIT", + "type": "SEEDVR2_DIT", + "links": [ + 137, + 631 + ] + } + ], + "title": "IMG2IMG SEEDVR2 DIT MODEL", + "properties": { + "cnr_id": "seedvr2_videoupscaler", + "ver": "690cc39379c1481159ddd451368dbf2295930fc6", + "Node name for S&R": "SeedVR2LoadDiTModel", + "aux_id": "ainvfx/ComfyUI-SeedVR2_VideoUpscaler", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "seedvr2_ema_7b_sharp_fp16.safetensors", + "cuda:0", + 36, + false, + "cpu", + false, + "sdpa" + ], + "color": "#323", + "bgcolor": "#535" + }, + { + "id": 55, + "type": "Note", + "pos": [ + 1345.4273600727904, + 172.47803894568383 + ], + "size": [ + 327.12843140793507, + 107.66835094003352 + ], + "flags": { + "pinned": true + }, + "order": 16, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "FINAL IMAGE SWITCHER GUIDE", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + 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-1105.4235247376869 + ], + "size": [ + 494.43918534333216, + 100.91761735130586 + ], + "flags": {}, + "order": 39, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "OPTIONAL FACE DETAILER — OWN PROMPTS + REVIEW", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Independent Face Detailer matching the SDXL workflow structure.\nIncludes its own positive prompt, negative prompt, detector and a full-image review preview.\n\nKrea-safe defaults: 8 steps, CFG 1.0, Euler, Simple, denoise 0.18.\nKeep bypassed unless a face correction is needed." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 106, + "type": "Note", + "pos": [ + 3229.3407592475974, + 1134.059899295409 + ], + "size": [ + 460.9793072027496, + 1175.1249393512508 + ], + "flags": {}, + "order": 40, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "KREA 2 EDIT — PRECISE IMAGE-TO-IMAGE", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# KREA 2 EDIT — PRECISE IMAGE-TO-IMAGE\n\nThis workflow includes two independent image-to-image systems:\n\n* **Classic Img2Img** for creative reinterpretation and denoise-based transformations\n* **Krea 2 Edit** for precise, identity-preserving and instruction-based edits\n\nUse the **Fast Groups Bypasser** to enable the image-to-image branch you want to use. Keep the other Img2Img branch bypassed to avoid unnecessary model loading and processing.\n\n## QUICK START\n\n1. Enable the **KREA 2 EDIT** group.\n2. Load your source image into **KREA 2 EDIT — SOURCE IMAGE**.\n3. Write a clear edit instruction in the **Grounded Edit Prompt**.\n4. Keep the Identity Edit LoRA enabled.\n5. Start with the recommended settings below.\n6. Test the base edit first.\n7. Enable SeedVR2 only after the edit result is satisfactory.\n\n## WHAT KREA 2 EDIT IS FOR\n\nUse Krea 2 Edit when you want to:\n\n* change clothing or accessories\n* adjust lighting or colors\n* modify background elements\n* preserve the original face and identity\n* maintain the pose and composition\n* make targeted changes without fully regenerating the image\n\nKrea 2 Edit is more precise than Classic Img2Img and normally stays closer to the original source image.\n\n## HOW TO WRITE THE EDIT PROMPT\n\nUse direct editing instructions.\n\nClearly describe:\n\n* what should change\n* what should remain unchanged\n\nExample:\n\nReplace her current outfit with a red leather jacket. Keep her face, hairstyle, pose, body proportions, camera angle, lighting and background unchanged.\n\nAvoid using only isolated keywords such as:\n\nred leather jacket\n\nA complete edit instruction gives the model better control over the intended change.\n\n## GROUNDING RESOLUTION\n\nGrounding Resolution is the main control for the balance between edit adherence and source preservation.\n\nSuggested starting ranges:\n\n* **384–512:** stronger edit behavior and more freedom\n* **640–768:** balanced editing\n* **896–1024:** stronger identity and source-image preservation (experimental)\n\nThese ranges are guidelines rather than exact strength percentages. The result can also depend on the source image, model and edit instruction.\n\nRecommended starting value:\n\n**768**\n\n## IDENTITY EDIT LORA\n\nRecommended starting strength:\n\n**1.0**\n\nGeneral behavior:\n\n* lower strength allows more creative freedom\n* higher strength can preserve identity more strongly\n* excessive strength may reduce edit flexibility\n\nSuggested range:\n\n**0.8–1.1**\n\n## DENOISE\n\nUnlike Classic Img2Img, Denoise is not the main edit-strength control in this branch.\n\nRecommended value:\n\n**1.0**\n\nLower values are experimental and may cause:\n\n* weaker edits\n* incomplete image reconstruction\n* soft or unfinished details\n* reduced prompt adherence\n\nFor normal use, control the edit primarily through:\n\n* Grounding Resolution\n* the edit prompt\n* Identity Edit LoRA strength\n\n## NEGATIVE PROMPT\n\nKrea 2 Turbo uses CFG-disabled or distilled behavior with CFG 1.0. The negative conditioning is therefore neutralized in this branch.\n\nInstead of relying on a traditional negative prompt, include important preservation and quality instructions in the positive edit prompt.\n\nExample:\n\nPreserve natural anatomy, clear facial details, realistic hands, stable lighting and the original camera composition.\n\n## RECOMMENDED DEFAULT SETTINGS\n\n* Identity Edit LoRA: **1.0**\n* Grounding Resolution: **768**\n* AuraFlow Shift: **4**\n* Steps: **8**\n* CFG: **1.0**\n* Sampler: **Euler**\n* Scheduler: **Beta**\n* Denoise: **1.0**\n* SeedVR2: **Bypass during initial testing**\n\n## OPTIONAL SEEDVR2 FINAL UPSCALE\n\nSeedVR2 is a final post-processing stage.\n\nUse it only after the Krea 2 Edit result already looks correct.\n\nRecommended order:\n\nKrea 2 Edit\n→ Base Preview\n→ Optional SeedVR2\n→ Final Preview\n→ Save\n\nSeedVR2 may improve final resolution and perceived detail, but it can also reinterpret small textures or facial details. Always compare the base result with the upscaled result.\n\nUse **Bypass**, not Mute or Never, when disabling the SeedVR2 group.\n\n## WHEN TO USE CLASSIC IMG2IMG\n\nUse Classic Img2Img when you want:\n\n* more creative reinterpretation\n* stronger stylistic changes\n* denoise-based control\n* more distance from the original image\n* an optional traditional negative prompt\n\n## SUMMARY\n\n**Krea 2 Edit**\n\nPrecise, controlled, identity-preserving and best for targeted edits.\n\n**Classic Img2Img**\n\nCreative, flexible, denoise-based and best for stronger reinterpretation.\n\n## REQUIRED COMPONENTS\n\n* comfyui-krea2edit\n* compatible Krea 2 Identity Edit LoRA\n* rgthree-comfy\n* Krea 2 Turbo model\n* Qwen3-VL text encoder\n* Qwen Image VAE\n* SeedVR2 only when using the optional final upscale\n\n\n## CUSTOM TARGET FORMAT OPTION\n\nAn additional optional branch is included for rendering the edited image at a new target resolution or aspect ratio.\n\nUse the standard **Original Target** branch to preserve the source format.\n\nUse the **Custom Target Format** branch when you want a new output size such as 16:9, 9:16, 3:2, 2:3 or square." + ], + "color": "#334", + "bgcolor": "#556" + }, + { + "id": 330, + "type": "Label (rgthree)", + "pos": [ + 3228.488249408929, + 999.7858612999215 + ], + "size": [ + 885.732421875, + 60 + ], + "flags": { + "allow_interaction": true + }, + "order": 41, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "KREA 2 EDIT IMAGE TO IMAGE", + "properties": { + "fontSize": 60, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 331, + "type": "Label (rgthree)", + "pos": [ + 3248.343162965364, + 2578.7631942609632 + ], + "size": [ + 1159.16015625, + 60 + ], 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"comfy-core", + "ver": "0.25.0", + "Node name for S&R": "MarkdownNote", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# BBOX DETECTOR DOWNLOADS\n\nClick a detector name to download the `.pt` file directly.\n\n## Required for the Detailer Suite\n\n- [Download face_yolov8m.pt](https://huggingface.co/licyk/comfyui-extension-models/resolve/main/ComfyUI-Impact-Pack/face_yolov8m.pt?download=true)\n- [Download hand_yolov8s.pt](https://huggingface.co/ChrisRfr/ComfyUI_FaceAnalysis/resolve/main/models/hand_yolov8s.pt?download=true)\n- [Download penis.pt](https://huggingface.co/ashllay/YOLO_Models/resolve/e07b01219ff1807e1885015f439d788b038f49bd/bbox/penis.pt?download=true)\n- [Download pussy.pt](https://huggingface.co/Justfuckinglol/cipherv2nsfwvid/resolve/2c43de39f5260e2218a0090a454b197c3847ee6d/ultralytics/bbox/pussy.pt?download=true)\n- [Download female_breast-v4.2.pt](https://huggingface.co/ashllay/YOLO_Models/resolve/e07b01219ff1807e1885015f439d788b038f49bd/bbox/female_breast-v4.2.pt?download=true)\n\n## Required custom nodes\n\n- [ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n- [ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)\n\nInstall both through **ComfyUI Manager**.\n\n## Installation\n\nPlace all downloaded detector files inside:\n\n`ComfyUI/models/ultralytics/bbox/`\n\nWindows Portable example:\n\n`ComfyUI_windows_portable/ComfyUI/models/ultralytics/bbox/`\n\nThen:\n\n1. Completely restart ComfyUI.\n2. Open this workflow again.\n3. Open each `UltralyticsDetectorProvider`.\n4. Select the matching detector file.\n5. 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Two-image person-into-scene: enable\ngroup 2 (right-click its title -> toggle Bypass).\n\nRequires the comfyui-krea2edit nodes from this release or newer.\ngithub.com/lbouaraba/comfyui-krea2edit - huggingface.co/conradlocke/krea2-identity-edit" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 107, + "type": "Note", + "pos": [ + 1250, + -140 + ], + "size": [ + 270, + 110 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Resolution", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Output resolution. 1MP is the\nsweet spot; go higher only for\nsingle-person edits." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 54, + "type": "VAEDecode", + "pos": [ + 2893.114497117003, + 455.2031307596579 + ], + "size": [ + 225, + 46 + ], + "flags": { + "collapsed": true + }, + "order": 22, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 25 + }, + { + "name": "vae", + "type": "VAE", + "link": 6 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 26 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "VAEDecode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 29, + "type": "SaveImage", + "pos": [ + 3174.3841115892164, + -70.29756619538783 + ], + "size": [ + 760, + 860 + ], + "flags": {}, + "order": 23, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 26 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": [ + 31 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "SaveImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "krea2_identity_edit" + ] + }, + { + "id": 112, + "type": "AILab_ImageCompare", + "pos": [ + 4077.854868728253, + -255.2652274830763 + ], + "size": [ + 902.3111111111084, + 829.6888888888864 + ], + "flags": {}, + "order": 24, + "mode": 0, + "inputs": [ + { + "name": "image1", + "shape": 7, + "type": "IMAGE", + "link": 32 + }, + { + "name": "image2", + "shape": 7, + "type": "IMAGE", + "link": 31 + }, + { + "name": "image3", + "shape": 7, + "type": "IMAGE", + "link": null + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 33 + ] + } + ], + "properties": { + "cnr_id": "comfyui-rmbg", + "ver": "3.1.0", + "Node name for S&R": "AILab_ImageCompare", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "Original", + "Krea 2 Edit", + "Image 3", + "largest", + "#000000", + "#FFFFFF" + ], + "color": "#2e3e57", + "bgcolor": "#4b5b73" + }, + { + "id": 114, + "type": "SaveImage", + "pos": [ + 5206.373677991904, + -139.9998739839022 + ], + "size": [ + 760, + 860 + ], + "flags": {}, + "order": 25, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 33 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": [] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "SaveImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "krea2_Compare" + ] + }, + { + "id": 100, + "type": "Note", + "pos": [ + 64.13947548706102, + 752.493075002466 + ], + "size": [ + 480, + 150 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model files", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Files (auto-downloadable via the manager links):\n- krea2_turbo_fp8_scaled (or krea2_raw_bf16 - see GENERATE note)\n- qwen3vl_4b_fp8_scaled text encoder, type 'krea2'\n- qwen_image_vae\n- krea2_identity_edit_v1_2.safetensors LoRA (this model)" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 84, + "type": "Krea2EditGroundedEncode", + "pos": [ + 1620, + -160 + ], + "size": [ + 620, + 330 + ], + "flags": {}, + "order": 19, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 45 + }, + { + "name": "image", + "shape": 7, + "type": "IMAGE", + "link": 12 + }, + { + "name": "image_b", + "shape": 7, + "type": "IMAGE", + "link": 18 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 22 + ] + } + ], + "properties": { + "cnr_id": "comfyui-krea2edit", + "ver": "bdfa8b267fdb13730868d435b277dcfe696ec083", + "Node name for S&R": "Krea2EditGroundedEncode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Change full image in anime style,", + 768, + "" + ] + }, + { + "id": 101, + "type": "Note", + "pos": [ + 640, + 330 + ], + "size": [ + 520, + 190 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "How inputs work", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "YOUR IMAGE - the image being edited (your character, the photo to\nrestyle, the scene...).\n\nTwo-image mode (group 2 enabled): THIS slot is always the SCENE\n(image 1). The person always goes in group 2 (image 2).\nInputs around 1MP work best. Two-person images: stay at/below ~1.5MP." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 55, + "type": "UNETLoader", + "pos": [ + 60, + -160 + ], + "size": [ + 480, + 130 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 42 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "UNETLoader", + "models": [ + { + "name": "krea2_turbo_fp8_scaled.safetensors", + "url": "https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors", + "directory": "diffusion_models" + } + ], + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "finepornV4TURBOFP8INT8_v4.safetensors", + "default" + ] + }, + { + "id": 56, + "type": "CLIPLoader", + "pos": [ + 60, + 30 + ], + "size": [ + 480, + 140 + ], + "flags": {}, + "order": 11, + "mode": 0, 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"/api/view?filename=rgthree.compare._temp_azbgq_00007_.png&type=temp&subfolder=&rand=0.7501358683561461" + }, + { + "name": "B", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_azbgq_00008_.png&type=temp&subfolder=&rand=0.842663838020647" + } + ] + ] + }, + { + "id": 45, + "type": "CLIPTextEncode", + "pos": [ + 2818.2850680295537, + 278.46139284577026 + ], + "size": [ + 266.44296875, + 76 + ], + "flags": { + "collapsed": true + }, + "order": 21, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 398 + }, + { + "name": "text", + "type": "STRING", + "widget": { + "name": "text" + }, + "link": 82 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 77 + ] + } + ], + "title": "Refining Prompt CLIP Text Encode", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.15", + "Node name for S&R": "CLIPTextEncode", + "ue_properties": { + "version": "7.5.1", + "widget_ue_connectable": { + "text": true + }, + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "realistic skin detail, stunning eyes, (film grain)" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 37, + "type": "CLIPTextEncode", + "pos": [ + 2819.110339368514, + 323.6901665722672 + ], + "size": [ + 244.9576171875, + 76 + ], + "flags": { + "collapsed": true + }, + "order": 22, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 399 + }, + { + "name": "text", + "type": "STRING", + "widget": { + "name": "text" + }, + "link": 250 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 78 + ] + } + ], + "title": "Base Prompt CLIP Text Encode", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.15", + "Node name for S&R": "CLIPTextEncode", + "ue_properties": { + "version": "7.5.1", + "widget_ue_connectable": { + "text": true + }, + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Ultra-realistic candid street portrait of a stunning young adult woman with long, straight jet-black hair parted in the middle, porcelain skin, dark expressive eyes, defined eyebrows, soft matte makeup, and naturally full pink lips. She is playfully winking with one eye while sticking her tongue out slightly, showing a fun, teasing expression. She wears a minimalist black bandeau tube top exposing her shoulders and upper torso, along with a simple silver choker necklace. She stands casually in the middle of a narrow European old-town street, her hands behind her back, facing the camera. The background features historic stone buildings, softly blurred pedestrians, and a shallow depth of field with creamy cinematic bokeh. Soft natural daylight, realistic skin texture with subtle imperfections, individually detailed hair strands, high dynamic range, authentic smartphone photography look, 85mm lens, f/1.8, photorealistic, ultra-detailed, natural colors, crisp focus on the face, candid lifestyle photography, premium editorial quality, relaxed atmosphere." + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 180, + "type": "Fast Groups Bypasser (rgthree)", + "pos": [ + 1213.2604297922803, + -162.9417393220058 + ], + "size": [ + 428.35027189705716, + 116.20174837646323 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "properties": { + "matchColors": "", + "matchTitle": "", + "showNav": true, + "showAllGraphs": true, + "sort": "position", + "customSortAlphabet": "", + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.1" + } + } + }, + { + "id": 202, + "type": "MarkdownNote", + "pos": [ + 2823.770839935586, + 510.8616222886511 + ], + "size": [ + 370.3196690514492, + 376.92632357165485 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## About This WF\n\n\n## Model Links (for Local Users)\n\n**text_encoders**\n\n- [qwen3vl_4b_bf16.safetensors](https://huggingface.co/Comfy-Org/Qwen3-VL/blob/main/text_encoders/qwen3vl_4b_bf16.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/circlestone-labs/Anima/resolve/main/split_files/vae/qwen_image_vae.safetensors)\n\n**Model**\n\n- [krea2IntoRealismV1.safetensors](https://civitai.red/models/2772917/krea-2-intorealism)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_bf16.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 Unet/\n│ └── krea2_turbo_fp8.safetensors\n```\n\nWorkflow by Enzino.\n\nCheck out all my models, Loras, WF, and scripts at:\n\n- [Ko-Fi](https://ko-fi.com/enzinoxl/commissions)\n\n- [www.enzinoai.com](https://www.enzinoai.com)" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 148, + "type": "Note", + "pos": [ + 3221.180284255272, + 680.0593439805245 + ], + "size": [ + 426.25773478242627, + 206.60223573071096 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "<-- Steps can be 8-12\n\n<-- CFG 1.0\n\n<-- Euler\n\n<-- Simple\n\n<-- 0.30-0.60 is a good range depending on how much extra detail you want to apply to the base image. Finding the optimal setting can depend on the image and seed so it may take a little trial and error. It's a good strategy to keep a fixed seed in the base image and try different denoise settings in the refiner sampler until you find the denoise that works best for you." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 52, + "type": "PrimitiveNode", + "pos": [ + 1210.6858717834687, + 151.91667764248976 + ], + "size": [ + 426.104912348512, + 533.459138484749 + ], + "flags": { + "collapsed": false + }, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "widget": { + "name": "text" + }, + "slot_index": 0, + "links": [ + 250, + 356 + ] + } + ], + "title": "Positive Prompt", + "properties": { + "Run widget replace on values": false, + "ue_properties": { + "version": "7.5.1", + "widget_ue_connectable": {}, + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Ultra-realistic candid street portrait of a stunning young adult woman with long, straight jet-black hair parted in the middle, porcelain skin, dark expressive eyes, defined eyebrows, soft matte makeup, and naturally full pink lips. 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图片反推提示词推理", + "properties": { + "Node name for S&R": "GJJ_GemmaTextGenerate", + "ue_properties": { + "widget_ue_connectable": { + "prompt": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + }, + "gjj_gemma_text_generate_values": { + "clip_name": "Qwen3.5-9B-Uncensored-NVFP4.safetensors", + "clip_type": "ideogram4", + "clip_device": "default", + "prompt": "", + "max_length": 1024, + "sampling_mode": "on", + "temperature": 0.7, + "top_k": 64, + "top_p": 0.95, + "min_p": 0.05, + "repetition_penalty": 1.05, + "seed": 0, + "presence_penalty": 0, + "thinking": false, + "use_default_template": true, + "system_prompt": "准确识别参考图片中的主体、人物外貌、服装、动作、场景结构、风格、镜头构图、光线、色调、材质和关键细节,整理为可直接用于图像或视频生成的连贯画面描述。\nfalse", + "system_prompt_templates": "【默认】输出中文\n\n【🎵歌词】根据用户输入的主题、情绪和画面创作一首全新的原创中文歌曲歌词。不得查找、引用、改写或复现任何现有歌曲及其歌词;直接创作完整歌词,只输出歌词正文,不输出歌名、歌手、解释、分析或提示语。\n\n【🧡反推】准确识别参考图片中的主体、人物外貌、服装、动作、场景结构、风格、镜头构图、光线、色调、材质和关键细节,整理为可直接用于图像或视频生成的连贯画面描述。\n\n【海报设计】你是一名专业AI商业海报设计师,擅长生成适用于AI绘图模型的中文海报提示词。\n你的任务:根据用户输入的主题,生成一张【正方形中文宣传海报】的AI绘图提示词。\n【核心设计规则】\n画布:\n- 正方形比例 1:1\n- 高端商业海报设计\n- 视觉冲击力强\n- 适合AI模型、软件、工具、教程、视频生成等主题封面\n【固定品牌标识】\n左上角固定显示:ComfyUI\n要求:\n- 黄色文字\n- 斜体\n- 像素字体\n- 复古科技游戏风格\n- 清晰可辨\n- 只出现一次\n- 禁止重复出现\n【主视觉要求】\n主视觉必须是:高颜值美女角色\n人物要求:\n- 精致五官\n- 电影级人像摄影\n- 高级质感\n- 具有视觉吸引力\n- 根据主题匹配服饰和环境\n示例:\nAI科技:\n未来科技美女、赛博朋克风格、智能设备、全息界面\n古风:\n东方古装美女、汉服、仙境、水墨元素\n视频生成:\n电影美女、动态光影、影视场景、动作瞬间\n【中文标题规则】\n海报中的所有重要文字必须使用中文。\n文字设计要求:\n主标题:\n- 只出现一次\n- 最大字号\n- 位于视觉中心或合理区域\n- 立体艺术字、有冲击力\n副标题:\n- 只出现一次\n- 简短说明核心功能\n禁止:\n- 重复标题\n- 重复关键词\n- 多处出现相同文字\n- 乱码文字\n- 无意义文字\n- 英文替代中文标题\n【海报布局】\n左上角:固定 ComfyUI 黄色斜体像素字\n中心区域:美女作为最大视觉主体\n标题区域:中文主标题突出显示\n底部一行中文卖点信息:\n- 低显存支持\n- int4_convrot\n- int8_convrot\n【视觉风格】\n默认采用:\n未来科技 + 电影海报 + 商业广告设计\n加入:\n- 深色背景\n- 蓝紫霓虹光\n- 金属材质\n- 全息UI\n- 粒子特效\n- 光影层次\n- 景深效果\n【画质要求】\n必须包含:\n超高清\n8K\n电影级光影\n真实皮肤纹理\n精致人物细节\n高级渲染\n专业商业海报\n极致细节\n【输出格式】\n只输出最终中文AI绘图提示词。\n不要解释。\n不要分析。\n不要输出设计过程。\n格式:\n【最终生成提示词】\n一段完整中文Prompt。\n必须包含:\n- 正方形海报\n- 左上角黄色斜体像素字“ComfyUI”\n- 美女主视觉\n- 中文标题突出显示\n- 所有文字只出现一次\n- 禁止重复文字\n\n【海报反推】请完整拆解这份电商商品详情页所有分页内容,逐页独立分析,每页仅输出一段连贯文字,分析维度固定包含:页面整体视觉主风格、顶部核心展示模块、图文排版布局逻辑、产品信息层级排布、营销引导元素、色彩搭配、字体使用、用户浏览动线设计、该页面承担的转化作用;不拆分小点、不分小标题,单页内容整合为一段通顺描述,依次按页面顺序输出,不要遗漏任意一页,内容客观聚焦页面布局与详情信息,不添加主观好坏评价。\n\n【电商详情】# Role\n你是一个顶级的电商视觉策划总监与 AI 提示词专家。你的任务是将用户简短的想法,扩写为可以直接输入给顶级文生图模型(具备排版能力)的高质量中文提示词。\n# Task\n请按照【6维递进结构】分析用户的简短输入。必须先确立商业战略定位,再推导视觉意图,最后输出逻辑严密、可以一键出图的自然语言提示词。\n# Output Structure (必须严格按照以下顺序,融合成一段流畅的文本输出)\n1. [海报定位]:明确该资产的商业属性(如:产品主视觉海报、生活方式场景海报、微距工艺细节海报、品牌调性海报等)。\n2. [核心焦点]:基于定位,提炼核心营销目的或情绪痛点(如:强调防水性能、传达清爽唤醒的氛围)。\n3. [摄影与构图]:定义拍摄风格(如高端美妆摄影、硬核科技特写)及构图方式(如居中对称、特写、俯拍)。\n4. [主体描述]:精确描述产品的材质、颜色、表面纹理及放置状态。\n5. [环境与光影]:构建符合主体调性的背景材质、场景氛围及光线类型(如柔和散射光、高对比度轮廓光)。\n6. [排版指令]:使用极其明确的位置词(顶部中央、左上角、底部右侧),指定需要生成的中英文字内容。\n# Rules\n- 语言必须专业、客观,符合 4A 广告公司的 Art Director 提案标准。\n- “[海报定位]”与“[核心焦点]”作为前缀,定下全段逻辑基调。\n- 文字排版指令必须用绝对的格式,例如:“在画面顶部中央生成大字号无衬线文字‘YOUR TEXT’”。\n- 输出不要带序号,每个分页有相应的卖点。每页一行提示词,行与行之间用\"---\"隔开。\n# Example\n用户输入:男士洗面奶,放在水池边,要清爽,加上“晨间唤醒”的字。\n你的输出:生活方式场景海报。核心焦点:使用场景情感连接与唤醒活力的清爽感。高端商业护肤摄影,正视角度。核心主体为一支哑光材质的男士洗面奶软管,表面带有细微水珠。产品放置在现代极简的灰色水磨石洗手池边缘。早晨的柔和自然光从侧面照入,背景带有通透的水波纹折射光斑,整体氛围清爽透亮。在画面顶部中央位置,使用现代无衬线粗体生成清晰的中文文字“晨间唤醒”,在画面底部右侧生成小字号英文“MORNING ROUTINE”。\n\n【🎬分镜】基于参考图片或输入描述生成连续四宫格分镜内容,保持人物身份、核心服装、场景和整体色调一致,同时推动镜头、构图、动作、表情与环境变化,使相邻画面自然衔接且具有叙事进展。\n\n【🌏翻译】将输入内容精准翻译为英文,保持原有语序结构、提示词权重符号、专有名词和画面语义;使用适合 AI 图像与视频生成的自然英文表达。\n\n【👕变装】给我 9 组图片的提示词,胸部以上特写,让主角留不同的发型,带不同的配饰,穿不同的服装,在中国不同5A景区的门口,天空地面都有描述,正对着镜头往前走,只保留上半身特效。写实风格。只给中文提示词。然后根据以上提示词,给我按顺序每两张图片写一组变装的视频提示词,如图 1 到图 2 写一组变装的视频提示词,图 2 到图 3 写一组变装的视频提示词,最后一张图变装到第一张图,要求有变化的细节。图片提示词和视频提示词分别在不同的列。提示词只用中文描述。每组一行,格式:序号||生成图片提示词||变装提示词(每组一行,两个||之间不要换行)\n\n【🎬故事】根据故事,生成动漫视频的分镜关键帧提示词和视频提示词。要求,首先生成分镜关键帧的图片的提示词,然后根据分镜关键帧生成视频主体动作和运镜的提示词;针对每个分镜要求有帮白或者主角的台词,台词标准旁白,或者男主角,或者女主角,每个分镜时长 5 秒左右。格式:序号||关键帧提示词||视频提示词||旁白或者主角的台词(每组一行,两个||之间不要换行)", + "system_prompt_output_rule": "false", + "keep_model": "false", + "device_preference": "GPU优先", + "model_filter_keywords": "qwen3.5|gemma4|qwen3vl" + }, + "gjj_text_generate_clip_type_reference_v1": true + }, + "widgets_values": [ + "Qwen3.5-9B-Uncensored-NVFP4.safetensors", + "ideogram4", + "default", + "", + 1024, + "on", + 0.7, + 64, + 0.95, + 0.05, + 1.05, + 0, + 0, + false, + true, + "准确识别参考图片中的主体、人物外貌、服装、动作、场景结构、风格、镜头构图、光线、色调、材质和关键细节,整理为可直接用于图像或视频生成的连贯画面描述。\nfalse", + "【默认】输出中文\n\n【🎵歌词】根据用户输入的主题、情绪和画面创作一首全新的原创中文歌曲歌词。不得查找、引用、改写或复现任何现有歌曲及其歌词;直接创作完整歌词,只输出歌词正文,不输出歌名、歌手、解释、分析或提示语。\n\n【🧡反推】准确识别参考图片中的主体、人物外貌、服装、动作、场景结构、风格、镜头构图、光线、色调、材质和关键细节,整理为可直接用于图像或视频生成的连贯画面描述。\n\n【海报设计】你是一名专业AI商业海报设计师,擅长生成适用于AI绘图模型的中文海报提示词。\n你的任务:根据用户输入的主题,生成一张【正方形中文宣传海报】的AI绘图提示词。\n【核心设计规则】\n画布:\n- 正方形比例 1:1\n- 高端商业海报设计\n- 视觉冲击力强\n- 适合AI模型、软件、工具、教程、视频生成等主题封面\n【固定品牌标识】\n左上角固定显示:ComfyUI\n要求:\n- 黄色文字\n- 斜体\n- 像素字体\n- 复古科技游戏风格\n- 清晰可辨\n- 只出现一次\n- 禁止重复出现\n【主视觉要求】\n主视觉必须是:高颜值美女角色\n人物要求:\n- 精致五官\n- 电影级人像摄影\n- 高级质感\n- 具有视觉吸引力\n- 根据主题匹配服饰和环境\n示例:\nAI科技:\n未来科技美女、赛博朋克风格、智能设备、全息界面\n古风:\n东方古装美女、汉服、仙境、水墨元素\n视频生成:\n电影美女、动态光影、影视场景、动作瞬间\n【中文标题规则】\n海报中的所有重要文字必须使用中文。\n文字设计要求:\n主标题:\n- 只出现一次\n- 最大字号\n- 位于视觉中心或合理区域\n- 立体艺术字、有冲击力\n副标题:\n- 只出现一次\n- 简短说明核心功能\n禁止:\n- 重复标题\n- 重复关键词\n- 多处出现相同文字\n- 乱码文字\n- 无意义文字\n- 英文替代中文标题\n【海报布局】\n左上角:固定 ComfyUI 黄色斜体像素字\n中心区域:美女作为最大视觉主体\n标题区域:中文主标题突出显示\n底部一行中文卖点信息:\n- 低显存支持\n- int4_convrot\n- int8_convrot\n【视觉风格】\n默认采用:\n未来科技 + 电影海报 + 商业广告设计\n加入:\n- 深色背景\n- 蓝紫霓虹光\n- 金属材质\n- 全息UI\n- 粒子特效\n- 光影层次\n- 景深效果\n【画质要求】\n必须包含:\n超高清\n8K\n电影级光影\n真实皮肤纹理\n精致人物细节\n高级渲染\n专业商业海报\n极致细节\n【输出格式】\n只输出最终中文AI绘图提示词。\n不要解释。\n不要分析。\n不要输出设计过程。\n格式:\n【最终生成提示词】\n一段完整中文Prompt。\n必须包含:\n- 正方形海报\n- 左上角黄色斜体像素字“ComfyUI”\n- 美女主视觉\n- 中文标题突出显示\n- 所有文字只出现一次\n- 禁止重复文字\n\n【海报反推】请完整拆解这份电商商品详情页所有分页内容,逐页独立分析,每页仅输出一段连贯文字,分析维度固定包含:页面整体视觉主风格、顶部核心展示模块、图文排版布局逻辑、产品信息层级排布、营销引导元素、色彩搭配、字体使用、用户浏览动线设计、该页面承担的转化作用;不拆分小点、不分小标题,单页内容整合为一段通顺描述,依次按页面顺序输出,不要遗漏任意一页,内容客观聚焦页面布局与详情信息,不添加主观好坏评价。\n\n【电商详情】# Role\n你是一个顶级的电商视觉策划总监与 AI 提示词专家。你的任务是将用户简短的想法,扩写为可以直接输入给顶级文生图模型(具备排版能力)的高质量中文提示词。\n# Task\n请按照【6维递进结构】分析用户的简短输入。必须先确立商业战略定位,再推导视觉意图,最后输出逻辑严密、可以一键出图的自然语言提示词。\n# Output Structure (必须严格按照以下顺序,融合成一段流畅的文本输出)\n1. [海报定位]:明确该资产的商业属性(如:产品主视觉海报、生活方式场景海报、微距工艺细节海报、品牌调性海报等)。\n2. [核心焦点]:基于定位,提炼核心营销目的或情绪痛点(如:强调防水性能、传达清爽唤醒的氛围)。\n3. [摄影与构图]:定义拍摄风格(如高端美妆摄影、硬核科技特写)及构图方式(如居中对称、特写、俯拍)。\n4. [主体描述]:精确描述产品的材质、颜色、表面纹理及放置状态。\n5. [环境与光影]:构建符合主体调性的背景材质、场景氛围及光线类型(如柔和散射光、高对比度轮廓光)。\n6. [排版指令]:使用极其明确的位置词(顶部中央、左上角、底部右侧),指定需要生成的中英文字内容。\n# Rules\n- 语言必须专业、客观,符合 4A 广告公司的 Art Director 提案标准。\n- “[海报定位]”与“[核心焦点]”作为前缀,定下全段逻辑基调。\n- 文字排版指令必须用绝对的格式,例如:“在画面顶部中央生成大字号无衬线文字‘YOUR TEXT’”。\n- 输出不要带序号,每个分页有相应的卖点。每页一行提示词,行与行之间用\"---\"隔开。\n# Example\n用户输入:男士洗面奶,放在水池边,要清爽,加上“晨间唤醒”的字。\n你的输出:生活方式场景海报。核心焦点:使用场景情感连接与唤醒活力的清爽感。高端商业护肤摄影,正视角度。核心主体为一支哑光材质的男士洗面奶软管,表面带有细微水珠。产品放置在现代极简的灰色水磨石洗手池边缘。早晨的柔和自然光从侧面照入,背景带有通透的水波纹折射光斑,整体氛围清爽透亮。在画面顶部中央位置,使用现代无衬线粗体生成清晰的中文文字“晨间唤醒”,在画面底部右侧生成小字号英文“MORNING ROUTINE”。\n\n【🎬分镜】基于参考图片或输入描述生成连续四宫格分镜内容,保持人物身份、核心服装、场景和整体色调一致,同时推动镜头、构图、动作、表情与环境变化,使相邻画面自然衔接且具有叙事进展。\n\n【🌏翻译】将输入内容精准翻译为英文,保持原有语序结构、提示词权重符号、专有名词和画面语义;使用适合 AI 图像与视频生成的自然英文表达。\n\n【👕变装】给我 9 组图片的提示词,胸部以上特写,让主角留不同的发型,带不同的配饰,穿不同的服装,在中国不同5A景区的门口,天空地面都有描述,正对着镜头往前走,只保留上半身特效。写实风格。只给中文提示词。然后根据以上提示词,给我按顺序每两张图片写一组变装的视频提示词,如图 1 到图 2 写一组变装的视频提示词,图 2 到图 3 写一组变装的视频提示词,最后一张图变装到第一张图,要求有变化的细节。图片提示词和视频提示词分别在不同的列。提示词只用中文描述。每组一行,格式:序号||生成图片提示词||变装提示词(每组一行,两个||之间不要换行)\n\n【🎬故事】根据故事,生成动漫视频的分镜关键帧提示词和视频提示词。要求,首先生成分镜关键帧的图片的提示词,然后根据分镜关键帧生成视频主体动作和运镜的提示词;针对每个分镜要求有帮白或者主角的台词,台词标准旁白,或者男主角,或者女主角,每个分镜时长 5 秒左右。格式:序号||关键帧提示词||视频提示词||旁白或者主角的台词(每组一行,两个||之间不要换行)", + "false", + "false", + "GPU优先", + "{\"clip_name\":\"Qwen3.5-9B-Uncensored-NVFP4.safetensors\",\"clip_type\":\"ideogram4\",\"clip_device\":\"default\",\"prompt\":\"\",\"max_length\":1024,\"sampling_mode\":\"on\",\"temperature\":0.7,\"top_k\":64,\"top_p\":0.95,\"min_p\":0.05,\"repetition_penalty\":1.05,\"seed\":0,\"presence_penalty\":0,\"thinking\":false,\"use_default_template\":true,\"system_prompt\":\"准确识别参考图片中的主体、人物外貌、服装、动作、场景结构、风格、镜头构图、光线、色调、材质和关键细节,整理为可直接用于图像或视频生成的连贯画面描述。\\nfalse\",\"system_prompt_templates\":\"【默认】输出中文\\n\\n【🎵歌词】根据用户输入的主题、情绪和画面创作一首全新的原创中文歌曲歌词。不得查找、引用、改写或复现任何现有歌曲及其歌词;直接创作完整歌词,只输出歌词正文,不输出歌名、歌手、解释、分析或提示语。\\n\\n【🧡反推】准确识别参考图片中的主体、人物外貌、服装、动作、场景结构、风格、镜头构图、光线、色调、材质和关键细节,整理为可直接用于图像或视频生成的连贯画面描述。\\n\\n【海报设计】你是一名专业AI商业海报设计师,擅长生成适用于AI绘图模型的中文海报提示词。\\n你的任务:根据用户输入的主题,生成一张【正方形中文宣传海报】的AI绘图提示词。\\n【核心设计规则】\\n画布:\\n- 正方形比例 1:1\\n- 高端商业海报设计\\n- 视觉冲击力强\\n- 适合AI模型、软件、工具、教程、视频生成等主题封面\\n【固定品牌标识】\\n左上角固定显示:ComfyUI\\n要求:\\n- 黄色文字\\n- 斜体\\n- 像素字体\\n- 复古科技游戏风格\\n- 清晰可辨\\n- 只出现一次\\n- 禁止重复出现\\n【主视觉要求】\\n主视觉必须是:高颜值美女角色\\n人物要求:\\n- 精致五官\\n- 电影级人像摄影\\n- 高级质感\\n- 具有视觉吸引力\\n- 根据主题匹配服饰和环境\\n示例:\\nAI科技:\\n未来科技美女、赛博朋克风格、智能设备、全息界面\\n古风:\\n东方古装美女、汉服、仙境、水墨元素\\n视频生成:\\n电影美女、动态光影、影视场景、动作瞬间\\n【中文标题规则】\\n海报中的所有重要文字必须使用中文。\\n文字设计要求:\\n主标题:\\n- 只出现一次\\n- 最大字号\\n- 位于视觉中心或合理区域\\n- 立体艺术字、有冲击力\\n副标题:\\n- 只出现一次\\n- 简短说明核心功能\\n禁止:\\n- 重复标题\\n- 重复关键词\\n- 多处出现相同文字\\n- 乱码文字\\n- 无意义文字\\n- 英文替代中文标题\\n【海报布局】\\n左上角:固定 ComfyUI 黄色斜体像素字\\n中心区域:美女作为最大视觉主体\\n标题区域:中文主标题突出显示\\n底部一行中文卖点信息:\\n- 低显存支持\\n- int4_convrot\\n- int8_convrot\\n【视觉风格】\\n默认采用:\\n未来科技 + 电影海报 + 商业广告设计\\n加入:\\n- 深色背景\\n- 蓝紫霓虹光\\n- 金属材质\\n- 全息UI\\n- 粒子特效\\n- 光影层次\\n- 景深效果\\n【画质要求】\\n必须包含:\\n超高清\\n8K\\n电影级光影\\n真实皮肤纹理\\n精致人物细节\\n高级渲染\\n专业商业海报\\n极致细节\\n【输出格式】\\n只输出最终中文AI绘图提示词。\\n不要解释。\\n不要分析。\\n不要输出设计过程。\\n格式:\\n【最终生成提示词】\\n一段完整中文Prompt。\\n必须包含:\\n- 正方形海报\\n- 左上角黄色斜体像素字“ComfyUI”\\n- 美女主视觉\\n- 中文标题突出显示\\n- 所有文字只出现一次\\n- 禁止重复文字\\n\\n【海报反推】请完整拆解这份电商商品详情页所有分页内容,逐页独立分析,每页仅输出一段连贯文字,分析维度固定包含:页面整体视觉主风格、顶部核心展示模块、图文排版布局逻辑、产品信息层级排布、营销引导元素、色彩搭配、字体使用、用户浏览动线设计、该页面承担的转化作用;不拆分小点、不分小标题,单页内容整合为一段通顺描述,依次按页面顺序输出,不要遗漏任意一页,内容客观聚焦页面布局与详情信息,不添加主观好坏评价。\\n\\n【电商详情】# Role\\n你是一个顶级的电商视觉策划总监与 AI 提示词专家。你的任务是将用户简短的想法,扩写为可以直接输入给顶级文生图模型(具备排版能力)的高质量中文提示词。\\n# Task\\n请按照【6维递进结构】分析用户的简短输入。必须先确立商业战略定位,再推导视觉意图,最后输出逻辑严密、可以一键出图的自然语言提示词。\\n# Output Structure (必须严格按照以下顺序,融合成一段流畅的文本输出)\\n1. [海报定位]:明确该资产的商业属性(如:产品主视觉海报、生活方式场景海报、微距工艺细节海报、品牌调性海报等)。\\n2. [核心焦点]:基于定位,提炼核心营销目的或情绪痛点(如:强调防水性能、传达清爽唤醒的氛围)。\\n3. [摄影与构图]:定义拍摄风格(如高端美妆摄影、硬核科技特写)及构图方式(如居中对称、特写、俯拍)。\\n4. [主体描述]:精确描述产品的材质、颜色、表面纹理及放置状态。\\n5. [环境与光影]:构建符合主体调性的背景材质、场景氛围及光线类型(如柔和散射光、高对比度轮廓光)。\\n6. 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+ "# LayerStream test 1 - big model on a small VRAM budget (Krea2, 24.5 GB bf16)\n\n**Weights** stream because of how ComfyUI is started, **activations** (they grow with image size) are handled by the `LayerStream: Krea2 Chunking` node + tiled VAE decode.\n\nOn a 24 GB card with **default flags** the node alone was enough in a production test (bf16 24.5 GB: about 30 s with the node, did not finish without it).\nTo force a small budget, start ComfyUI with (example: target ~4 GB resident):\n\n`--vram-headroom 20 --disable-pinned-memory`\n\n- `--vram-headroom N` = GB of VRAM ComfyUI must leave free. Weights are streamed layer by layer into the rest.\n For a target budget of X GB use `N = (your total VRAM) - X`.\n- `--disable-pinned-memory` stops pinned host RAM from showing up as \"shared GPU memory\".\n\nCompare: run once **without** the flags and once with, and watch VRAM (nvidia-smi / Task Manager). Also try bypassing the node.\nMeasured here (24.5 GB bf16): ~21.5 GB over idle without flags; with flags **~1.6 GB at 1024x1024**. This graph is 2048x2048 (4 MP):\nstock ComfyUI (with the tiled VAE) ran under a hard 3 GB cap and failed at 2 GB; with the node it ran at 2 GB and failed at 1 GB,\nso the node buys about 1 GB at 4 MP. At 1024x1024 the flags alone are enough (stock, no node, ran down to a 1 GB cap).\nWith chunking the output is numerically equivalent but not bit-identical (bf16 matmul rounding; ~38-41 dB vs stock, visually\nthe same) and it is slower. Smaller chunks = less VRAM but slower. See the README in the node folder for all numbers and limits.\n\nSet the model names in the loader nodes to your own files first." + ] + } + ], + "links": [ + [ + 1, + 2, + 0, + 4, + 1, + "CLIP" + ], + [ + 2, + 2, + 0, + 5, + 1, + "CLIP" + ], + [ + 3, + 10, + 0, + 7, + 0, + "MODEL" + ], + [ + 4, + 4, + 0, + 7, + 6, + "CONDITIONING" + ], + [ + 5, + 5, + 0, + 7, + 7, + "CONDITIONING" + ], + [ + 6, + 6, + 0, + 7, + 8, + "LATENT" + ], + [ + 7, + 7, + 0, + 8, + 0, + "LATENT" + ], + [ + 8, + 3, + 0, + 8, + 1, + "VAE" + ], + [ + 9, + 8, + 0, + 9, + 0, + "IMAGE" + ], + [ + 10, + 1, + 0, + 10, + 0, + "MODEL" + ] + ], + "groups": [], + "config": {}, + "extra": { + "title": "LayerStream test 1 - Krea2 on small VRAM" + }, + "version": 0.4 +} \ No newline at end of file diff --git a/krea2CharacterForge_characterSheet.json b/krea2CharacterForge_characterSheet.json new file mode 100644 index 0000000000000000000000000000000000000000..5a23344c79abd7f15de3d64c80d983a46974aa1f --- /dev/null +++ b/krea2CharacterForge_characterSheet.json @@ -0,0 +1,6241 @@ +{ + "id": "ad38b74c-f182-47b5-9003-f34d3bb4eb1c", + "revision": 0, + "last_node_id": 92, + "last_link_id": 181, + "nodes": [ + { + "id": 1, + "type": "Note", + "pos": [ + 40, + -420 + ], + "size": [ + 720, + 340 + ], + "flags": {}, + "order": 0, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "Node name for S&R": "Note" + }, + "widgets_values": [ + "KREA 2 TURBO — CHARACTER-SHEET DATASET GENERATOR\n----------------------------------------------------\nPurpose: takes ONE reference image of a character and produces 16 dataset\nimages of the SAME character (identity/anatomy locked) across a deliberately\nvaried set of poses, camera angles, framing, lighting and environments, for\ntraining a character LoRA.\n\nIdentity is carried by TWO parallel paths into every branch:\n 1) VL / text path -> reference image is passed as image1 into each branch's\n TextEncodeQwenImageEditPlus node, so the text encoder 'sees' the character\n while it reads that branch's pose/scene instruction.\n 2) Latent path -> the SAME reference image is VAE-encoded once (shared)\n and merged into each branch's conditioning via ReferenceLatent. This is the\n path that does most of the work holding the face/body steady.\nBoth paths reach every KSampler. Do not disconnect either one.\n\nBefore running: load your reference photo in the LoadImage node in the\n'REFERENCE INPUT' group. Use a clear, evenly lit, front-facing or near-front\nshot for the strongest identity lock." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 4, + "type": "CLIPLoader", + "pos": [ + 440, + 140 + ], + "size": [ + 320, + 120 + ], + "flags": {}, + "order": 1, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "CLIP", + "type": "CLIP", + "slot_index": 0, + "links": [ + 4, + 6, + 17, + 28, + 39, + 50, + 61, + 72, + 83, + 94, + 105, + 116, + 127, + 138, + 149, + 160, + 171 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "CLIPLoader" + }, + "widgets_values": [ + "qwen3vl_4b_fp8_scaled.safetensors", + "krea2", + "default" + ] + }, + { + "id": 12, + "type": "TextEncodeQwenImageEditPlus", + "pos": [ + 860, + -380 + ], + "size": [ + 420, + 300 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 6 + }, + { + "name": "vae", + "shape": 7, + "type": "VAE", + "link": null + }, + { + "name": "image1", + "shape": 7, + "type": "IMAGE", + "link": 7 + }, + { + "name": "image2", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "image3", + "shape": 7, + "type": "IMAGE", + "link": null + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 8 + ] + } + ], + "title": "01 Positive Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "TextEncodeQwenImageEditPlus" + }, + "widgets_values": [ + "KEEP the exact same character and identity as the reference image; do not change who they are. Change only the pose, camera angle, framing, lighting, and setting: standing fully upright and facing directly toward the camera, feet roughly shoulder-width apart, arms relaxed naturally at the sides, calm neutral expression, full-body framing from head to feet, soft even studio lighting from the front, plain seamless neutral grey studio backdrop with no props. Preserve exact facial identity, facial structure, hairstyle and hair color, skin tone, body type, and proportions, and clothing and outfit details from the reference image exactly as shown, without any redesign, restyling, beautifying, aging, de-aging, slimming, or resizing. This is a single standalone photograph for a character-identity training dataset: one unified image only, no diptych, no split screen, no collage panels, no comparison grid, no added text or watermark." + ] + }, + { + "id": 13, + "type": "ReferenceLatent", + "pos": [ + 860, + -40 + ], + "size": [ + 260, + 60 + ], + "flags": {}, + "order": 26, + "mode": 0, + "inputs": [ + { + "name": "conditioning", + "type": "CONDITIONING", + "link": 8 + }, + { + "name": "latent", + "shape": 7, + "type": "LATENT", + "link": 9 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 11 + ] + } + ], + "title": "01 Identity Lock", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "ReferenceLatent" + }, + "widgets_values": [] + }, + { + "id": 14, + "type": "KSampler", + "pos": [ + 860, + 60 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 42, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 10 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 11 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 12 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 13 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 14 + ] + } + ], + "title": "01 KSampler (Krea 2 Turbo)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "KSampler" + }, + "widgets_values": [ + 660000000000000, + "fixed", + 8, + 1, + "er_sde", + "simple", + 1 + ] + }, + { + "id": 15, + "type": "VAEDecode", + "pos": [ + 860, + 400 + ], + "size": [ + 240, + 60 + ], + "flags": {}, + "order": 58, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 14 + }, + { + "name": "vae", + "type": "VAE", + "link": 15 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 16 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "VAEDecode" + }, + "widgets_values": [] + }, + { + "id": 16, + "type": "SaveImage", + "pos": [ + 860, + 500 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 74, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 16 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "CharacterSheet/01_Front_Neutral_Standing" + ] + }, + { + "id": 17, + "type": "TextEncodeQwenImageEditPlus", + "pos": [ + 1420, + -380 + ], + "size": [ + 420, + 300 + ], + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 17 + }, + { + "name": "vae", + "shape": 7, + "type": "VAE", + "link": null + }, + { + "name": "image1", + "shape": 7, + "type": "IMAGE", + "link": 18 + }, + { + "name": "image2", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "image3", + "shape": 7, + "type": "IMAGE", + "link": null + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 19 + ] + } + ], + "title": "02 Positive Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "TextEncodeQwenImageEditPlus" + }, + "widgets_values": [ + "KEEP the exact same character and identity as the reference image; do not change who they are. Change only the pose, camera angle, framing, lighting, and setting: standing in a relaxed natural stance rotated roughly thirty-five degrees from the camera in a three-quarter front view, one foot slightly ahead of the other, hands resting naturally, waist-up framing, soft window light falling from one side, a simple softly blurred indoor room in the background. Preserve exact facial identity, facial structure, hairstyle and hair color, skin tone, body type, and proportions, and clothing and outfit details from the reference image exactly as shown, without any redesign, restyling, beautifying, aging, de-aging, slimming, or resizing. This is a single standalone photograph for a character-identity training dataset: one unified image only, no diptych, no split screen, no collage panels, no comparison grid, no added text or watermark." + ] + }, + { + "id": 18, + "type": "ReferenceLatent", + "pos": [ + 1420, + -40 + ], + "size": [ + 260, + 60 + ], + "flags": {}, + "order": 27, + "mode": 0, + "inputs": [ + { + "name": "conditioning", + "type": "CONDITIONING", + "link": 19 + }, + { + "name": "latent", + "shape": 7, + "type": "LATENT", + "link": 20 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 22 + ] + } + ], + "title": "02 Identity Lock", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "ReferenceLatent" + }, + "widgets_values": [] + }, + { + "id": 19, + "type": "KSampler", + "pos": [ + 1420, + 60 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 43, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 21 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 22 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 23 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 24 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 25 + ] + } + ], + "title": "02 KSampler (Krea 2 Turbo)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "KSampler" + }, + "widgets_values": [ + 660000000000001, + "fixed", + 8, + 1, + "er_sde", + "simple", + 1 + ] + }, + { + "id": 20, + "type": "VAEDecode", + "pos": [ + 1420, + 400 + ], + "size": [ + 240, + 60 + ], + "flags": {}, + "order": 59, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 25 + }, + { + "name": "vae", + "type": "VAE", + "link": 26 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 27 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "VAEDecode" + }, + "widgets_values": [] + }, + { + "id": 21, + "type": "SaveImage", + "pos": [ + 1420, + 500 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 75, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 27 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "CharacterSheet/02_34_Front_Standing" + ] + }, + { + "id": 22, + "type": "TextEncodeQwenImageEditPlus", + "pos": [ + 1980, + -380 + ], + "size": [ + 420, + 300 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 28 + }, + { + "name": "vae", + "shape": 7, + "type": "VAE", + "link": null + }, + { + "name": "image1", + "shape": 7, + "type": "IMAGE", + "link": 29 + }, + { + "name": "image2", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "image3", + "shape": 7, + "type": "IMAGE", + "link": null + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 30 + ] + } + ], + "title": "03 Positive Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "TextEncodeQwenImageEditPlus" + }, + "widgets_values": [ + "KEEP the exact same character and identity as the reference image; do not change who they are. Change only the pose, camera angle, framing, lighting, and setting: standing in a full ninety-degree side profile with the body turned completely sideways to the camera, weight even on both feet, relaxed posture, full-body framing from head to feet, hard directional studio light from the front to clearly define the silhouette, plain neutral studio backdrop. Preserve exact facial identity, facial structure, hairstyle and hair color, skin tone, body type, and proportions, and clothing and outfit details from the reference image exactly as shown, without any redesign, restyling, beautifying, aging, de-aging, slimming, or resizing. This is a single standalone photograph for a character-identity training dataset: one unified image only, no diptych, no split screen, no collage panels, no comparison grid, no added text or watermark." + ] + }, + { + "id": 23, + "type": "ReferenceLatent", + "pos": [ + 1980, + -40 + ], + "size": [ + 260, + 60 + ], + "flags": {}, + "order": 28, + "mode": 0, + "inputs": [ + { + "name": "conditioning", + "type": "CONDITIONING", + "link": 30 + }, + { + "name": "latent", + "shape": 7, + "type": "LATENT", + "link": 31 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 33 + ] + } + ], + "title": "03 Identity Lock", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "ReferenceLatent" + }, + "widgets_values": [] + }, + { + "id": 24, + "type": "KSampler", + "pos": [ + 1980, + 60 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 44, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 32 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 33 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 34 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 35 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 36 + ] + } + ], + "title": "03 KSampler (Krea 2 Turbo)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "KSampler" + }, + "widgets_values": [ + 660000000000002, + "fixed", + 8, + 1, + "er_sde", + "simple", + 1 + ] + }, + { + "id": 25, + "type": "VAEDecode", + "pos": [ + 1980, + 400 + ], + "size": [ + 240, + 60 + ], + "flags": {}, + "order": 60, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 36 + }, + { + "name": "vae", + "type": "VAE", + "link": 37 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 38 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "VAEDecode" + }, + "widgets_values": [] + }, + { + "id": 26, + "type": "SaveImage", + "pos": [ + 1980, + 500 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 76, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 38 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "CharacterSheet/03_Side_Profile_Full_Body" + ] + }, + { + "id": 27, + "type": "TextEncodeQwenImageEditPlus", + "pos": [ + 2540, + -380 + ], + "size": [ + 420, + 300 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 39 + }, + { + "name": "vae", + "shape": 7, + "type": "VAE", + "link": null + }, + { + "name": "image1", + "shape": 7, + "type": "IMAGE", + "link": 40 + }, + { + "name": "image2", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "image3", + "shape": 7, + "type": "IMAGE", + "link": null + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 41 + ] + } + ], + "title": "04 Positive Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "TextEncodeQwenImageEditPlus" + }, + "widgets_values": [ + "KEEP the exact same character and identity as the reference image; do not change who they are. Change only the pose, camera angle, framing, lighting, and setting: captured mid-stride while walking toward the camera at a three-quarter front-left angle, one foot forward and the other trailing, natural arm swing, full-body framing, soft overcast natural daylight, a simple uncluttered urban street background softly out of focus behind. Preserve exact facial identity, facial structure, hairstyle and hair color, skin tone, body type, and proportions, and clothing and outfit details from the reference image exactly as shown, without any redesign, restyling, beautifying, aging, de-aging, slimming, or resizing. This is a single standalone photograph for a character-identity training dataset: one unified image only, no diptych, no split screen, no collage panels, no comparison grid, no added text or watermark." + ] + }, + { + "id": 28, + "type": "ReferenceLatent", + "pos": [ + 2540, + -40 + ], + "size": [ + 260, + 60 + ], + "flags": {}, + "order": 29, + "mode": 0, + "inputs": [ + { + "name": "conditioning", + "type": "CONDITIONING", + "link": 41 + }, + { + "name": "latent", + "shape": 7, + "type": "LATENT", + "link": 42 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 44 + ] + } + ], + "title": "04 Identity Lock", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "ReferenceLatent" + }, + "widgets_values": [] + }, + { + "id": 29, + "type": "KSampler", + "pos": [ + 2540, + 60 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 45, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 43 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 44 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 45 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 46 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 47 + ] + } + ], + "title": "04 KSampler (Krea 2 Turbo)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "KSampler" + }, + "widgets_values": [ + 660000000000003, + "fixed", + 8, + 1, + "er_sde", + "simple", + 1 + ] + }, + { + "id": 30, + "type": "VAEDecode", + "pos": [ + 2540, + 400 + ], + "size": [ + 240, + 60 + ], + "flags": {}, + "order": 61, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 47 + }, + { + "name": "vae", + "type": "VAE", + "link": 48 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 49 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "VAEDecode" + }, + "widgets_values": [] + }, + { + "id": 32, + "type": "TextEncodeQwenImageEditPlus", + "pos": [ + 860, + 920 + ], + "size": [ + 420, + 300 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 50 + }, + { + "name": "vae", + "shape": 7, + "type": "VAE", + "link": null + }, + { + "name": "image1", + "shape": 7, + "type": "IMAGE", + "link": 51 + }, + { + "name": "image2", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "image3", + "shape": 7, + "type": "IMAGE", + "link": null + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 52 + ] + } + ], + "title": "05 Positive Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "TextEncodeQwenImageEditPlus" + }, + "widgets_values": [ + "KEEP the exact same character and identity as the reference image; do not change who they are. Change only the pose, camera angle, framing, lighting, and setting: seated on a plain stool with a relaxed upright posture facing the camera, forearms resting naturally on the thighs, three-quarter-body framing from the head to just below the knees, soft overcast natural light from a nearby window, a simple uncluttered indoor room background. Preserve exact facial identity, facial structure, hairstyle and hair color, skin tone, body type, and proportions, and clothing and outfit details from the reference image exactly as shown, without any redesign, restyling, beautifying, aging, de-aging, slimming, or resizing. This is a single standalone photograph for a character-identity training dataset: one unified image only, no diptych, no split screen, no collage panels, no comparison grid, no added text or watermark." + ] + }, + { + "id": 33, + "type": "ReferenceLatent", + "pos": [ + 860, + 1260 + ], + "size": [ + 260, + 60 + ], + "flags": {}, + "order": 30, + "mode": 0, + "inputs": [ + { + "name": "conditioning", + "type": "CONDITIONING", + "link": 52 + }, + { + "name": "latent", + "shape": 7, + "type": "LATENT", + "link": 53 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 55 + ] + } + ], + "title": "05 Identity Lock", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "ReferenceLatent" + }, + "widgets_values": [] + }, + { + "id": 34, + "type": "KSampler", + "pos": [ + 860, + 1360 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 46, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 54 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 55 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 56 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 57 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 58 + ] + } + ], + "title": "05 KSampler (Krea 2 Turbo)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "KSampler" + }, + "widgets_values": [ + 660000000000004, + "fixed", + 8, + 1, + "er_sde", + "simple", + 1 + ] + }, + { + "id": 35, + "type": "VAEDecode", + "pos": [ + 860, + 1700 + ], + "size": [ + 240, + 60 + ], + "flags": {}, + "order": 62, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 58 + }, + { + "name": "vae", + "type": "VAE", + "link": 59 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 60 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "VAEDecode" + }, + "widgets_values": [] + }, + { + "id": 36, + "type": "SaveImage", + "pos": [ + 860, + 1800 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 78, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 60 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "CharacterSheet/05_Seated_Relaxed" + ] + }, + { + "id": 37, + "type": "TextEncodeQwenImageEditPlus", + "pos": [ + 1420, + 920 + ], + "size": [ + 420, + 300 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 61 + }, + { + "name": "vae", + "shape": 7, + "type": "VAE", + "link": null + }, + { + "name": "image1", + "shape": 7, + "type": "IMAGE", + "link": 62 + }, + { + "name": "image2", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "image3", + "shape": 7, + "type": "IMAGE", + "link": null + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 63 + ] + } + ], + "title": "06 Positive Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "TextEncodeQwenImageEditPlus" + }, + "widgets_values": [ + "KEEP the exact same character and identity as the reference image; do not change who they are. Change only the pose, camera angle, framing, lighting, and setting: standing with the back turned completely toward the camera in a neutral relaxed stance, arms resting naturally at the sides, full-body framing from head to feet, soft rim and backlighting outlining the silhouette from behind, plain neutral studio backdrop. Preserve exact facial identity, facial structure, hairstyle and hair color, skin tone, body type, and proportions, and clothing and outfit details from the reference image exactly as shown, without any redesign, restyling, beautifying, aging, de-aging, slimming, or resizing. This is a single standalone photograph for a character-identity training dataset: one unified image only, no diptych, no split screen, no collage panels, no comparison grid, no added text or watermark." + ] + }, + { + "id": 38, + "type": "ReferenceLatent", + "pos": [ + 1420, + 1260 + ], + "size": [ + 260, + 60 + ], + "flags": {}, + "order": 31, + "mode": 0, + "inputs": [ + { + "name": "conditioning", + "type": "CONDITIONING", + "link": 63 + }, + { + "name": "latent", + "shape": 7, + "type": "LATENT", + "link": 64 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 66 + ] + } + ], + "title": "06 Identity Lock", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "ReferenceLatent" + }, + "widgets_values": [] + }, + { + "id": 39, + "type": "KSampler", + "pos": [ + 1420, + 1360 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 47, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 65 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 66 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 67 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 68 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 69 + ] + } + ], + "title": "06 KSampler (Krea 2 Turbo)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "KSampler" + }, + "widgets_values": [ + 660000000000005, + "fixed", + 8, + 1, + "er_sde", + "simple", + 1 + ] + }, + { + "id": 40, + "type": "VAEDecode", + "pos": [ + 1420, + 1700 + ], + "size": [ + 240, + 60 + ], + "flags": {}, + "order": 63, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 69 + }, + { + "name": "vae", + "type": "VAE", + "link": 70 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 71 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "VAEDecode" + }, + "widgets_values": [] + }, + { + "id": 41, + "type": "SaveImage", + "pos": [ + 1420, + 1800 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 79, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 71 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "CharacterSheet/06_Back_View_Standing" + ] + }, + { + "id": 42, + "type": "TextEncodeQwenImageEditPlus", + "pos": [ + 1980, + 920 + ], + "size": [ + 420, + 300 + ], + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 72 + }, + { + "name": "vae", + "shape": 7, + "type": "VAE", + "link": null + }, + { + "name": "image1", + "shape": 7, + "type": "IMAGE", + "link": 73 + }, + { + "name": "image2", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "image3", + "shape": 7, + "type": "IMAGE", + "link": null + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 74 + ] + } + ], + "title": "07 Positive Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "TextEncodeQwenImageEditPlus" + }, + "widgets_values": [ + "KEEP the exact same character and identity as the reference image; do not change who they are. 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This is a single standalone photograph for a character-identity training dataset: one unified image only, no diptych, no split screen, no collage panels, no comparison grid, no added text or watermark." + ] + }, + { + "id": 48, + "type": "ReferenceLatent", + "pos": [ + 2540, + 1260 + ], + "size": [ + 260, + 60 + ], + "flags": {}, + "order": 33, + "mode": 0, + "inputs": [ + { + "name": "conditioning", + "type": "CONDITIONING", + "link": 85 + }, + { + "name": "latent", + "shape": 7, + "type": "LATENT", + "link": 86 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 88 + ] + } + ], + "title": "08 Identity Lock", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "ReferenceLatent" + }, + "widgets_values": [] + }, + { + "id": 49, + "type": "KSampler", + "pos": [ + 2540, + 1360 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 49, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 87 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 88 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 89 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 90 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 91 + ] + } + ], + "title": "08 KSampler (Krea 2 Turbo)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "KSampler" + }, + "widgets_values": [ + 660000000000007, + "fixed", + 8, + 1, + "er_sde", + "simple", + 1 + ] + }, + { + "id": 50, + "type": "VAEDecode", + "pos": [ + 2540, + 1700 + ], + "size": [ + 240, + 60 + ], + "flags": {}, + "order": 65, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 91 + }, + { + "name": "vae", + "type": "VAE", + "link": 92 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 93 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "VAEDecode" + }, + "widgets_values": [] + }, + { + "id": 51, + "type": "SaveImage", + "pos": [ + 2540, + 1800 + ], + "size": [ + 280, + 300 + ], + "flags": {}, + "order": 81, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 93 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "CharacterSheet/08_HeadShoulders_Left_34" + ] + }, + { + "id": 52, + "type": "TextEncodeQwenImageEditPlus", + "pos": [ + 860, + 2220 + ], + "size": [ + 420, + 300 + ], + "flags": {}, + "order": 18, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 94 + }, + { + "name": "vae", + "shape": 7, + "type": "VAE", + "link": null + }, + { + "name": "image1", + "shape": 7, + "type": "IMAGE", + "link": 95 + }, + { + "name": "image2", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "image3", + "shape": 7, + "type": "IMAGE", + "link": null + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 96 + ] + } + ], + "title": "09 Positive Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.32.0", + "Node name for S&R": "TextEncodeQwenImageEditPlus" + }, + "widgets_values": [ + "KEEP the exact same character and identity as the reference image; do not change who they are. 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"type": "IMAGE", + "links": [ + 58 + ] + } + ], + "title": "Gray out the painted area", + "properties": { + "Node name for S&R": "ImageCompositeMasked", + "cnr_id": "comfy-core", + "ver": "0.37.0" + }, + "widgets_values": [ + 0, + 0, + true + ], + "widgets_values_named": { + "x": 0, + "y": 0, + "resize_source": true + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 28, + "type": "GrowMask", + "pos": [ + 1320, + 654 + ], + "size": [ + 420, + 82 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [ + { + "localized_name": "mask", + "name": "mask", + "type": "MASK", + "link": 38 + } + ], + "outputs": [ + { + "localized_name": "MASK", + "name": "MASK", + "type": "MASK", + "links": [ + 59 + ] + } + ], + "title": "Grow the noise mask", + "properties": { + "Node name for S&R": "GrowMask", + "cnr_id": "comfy-core", + "ver": "0.37.0" + }, + "widgets_values": [ + 24, + true + ], + "widgets_values_named": { + "expand": 24, + "tapered_corners": true + }, + "color": 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beside it." + ], + "widgets_values_named": { + "text": "The crop is the painted area plus room around it: twice its size and up to 192 px more, scaled to about 1 MP so the clothing picture fits beside it." + }, + "color": "#1f2c38", + "bgcolor": "#2a3b4a" + }, + { + "id": 40, + "type": "MarkdownNote", + "pos": [ + 1320, + 80 + ], + "size": [ + 420, + 88 + ], + "flags": {}, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note", + "properties": {}, + "widgets_values": [ + "The painted area, grown a little, is filled with flat gray. Krea 2 never sees what you are replacing." + ], + "widgets_values_named": { + "text": "The painted area, grown a little, is filled with flat gray. Krea 2 never sees what you are replacing." + }, + "color": "#1f2c38", + "bgcolor": "#2a3b4a" + } + ], + "groups": [ + { + "id": 90, + "title": "1 · Picture size", + "bounding": [ + 0, + 0, + 340, + 238 + ], + "color": "#1d5560", + "flags": {} + }, + { + "id": 91, + "title": "2 · Size math", + "bounding": [ + 380, + 0, + 420, + 1014 + ], + "color": "#1d5560", + "flags": {} + }, + { + "id": 92, + "title": "3 · Mask and crop", + "bounding": [ + 840, + 0, + 420, + 1041 + ], + "color": "#1d5560", + "flags": {} + }, + { + "id": 93, + "title": "4 · Gray out", + "bounding": [ + 1300, + 0, + 460, + 760 + ], + "color": "#1d5560", + "flags": {} + } + ], + "links": [ + { + "id": 31, + "origin_id": 24, + "origin_slot": 0, + "target_id": 25, + "target_slot": 1, + "type": "MASK" + }, + { + "id": 32, + "origin_id": 25, + "origin_slot": 0, + "target_id": 27, + "target_slot": 0, + "type": "IMAGE" + }, + { + "id": 33, + "origin_id": 26, + "origin_slot": 0, + "target_id": 27, + "target_slot": 1, + "type": 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"target_id": 33, + "target_slot": 0, + "type": "INT" + }, + { + "id": 53, + "origin_id": 29, + "origin_slot": 1, + "target_id": 33, + "target_slot": 1, + "type": "INT" + }, + { + "id": 54, + "origin_id": 30, + "origin_slot": 1, + "target_id": 24, + "target_slot": 2, + "type": "INT" + }, + { + "id": 55, + "origin_id": 31, + "origin_slot": 0, + "target_id": 24, + "target_slot": 3, + "type": "FLOAT" + }, + { + "id": 30, + "origin_id": -10, + "origin_slot": 0, + "target_id": 25, + "target_slot": 0, + "type": "IMAGE" + }, + { + "id": 45, + "origin_id": -10, + "origin_slot": 0, + "target_id": 29, + "target_slot": 0, + "type": "IMAGE" + }, + { + "id": 29, + "origin_id": -10, + "origin_slot": 1, + "target_id": 24, + "target_slot": 0, + "type": "MASK" + }, + { + "id": 58, + "origin_id": 27, + "origin_slot": 0, + "target_id": -20, + "target_slot": 0, + "type": "IMAGE" + }, + { + "id": 59, + "origin_id": 28, + "origin_slot": 0, + "target_id": -20, + "target_slot": 1, + "type": "MASK" + }, + { + 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"1b67bd21-415b-4e8f-84a8-3294ca9eef9c", + "name": "side-by-side mask", + "type": "MASK", + "linkIds": [ + 92 + ], + "localized_name": "side-by-side mask" + }, + { + "id": "62fa64c4-d8c1-48cd-8d22-c2e3a7a0c3d4", + "name": "gray-filled crop", + "type": "IMAGE", + "linkIds": [ + 93 + ], + "localized_name": "gray-filled crop" + }, + { + "id": "cf1f1724-cc04-48aa-a99d-7a9100773a71", + "name": "stitcher", + "type": "AUSBOSS_STITCHER", + "linkIds": [ + 40, + 41 + ], + "localized_name": "stitcher" + }, + { + "id": "0bec8963-77ba-46c5-a4bb-784d30e7c7bf", + "name": "request", + "type": "STRING", + "linkIds": [ + 27 + ], + "localized_name": "request" + }, + { + "id": "feecbd25-b25b-4357-bfe6-1d9f477ac0c9", + "name": "seed", + "type": "INT", + "linkIds": [ + 15 + ], + "localized_name": "seed" + }, + { + "id": "cf6f7cdb-7f63-4e87-9402-1a4d84bc828d", + "name": "text encoder", + "type": "CLIP", + "linkIds": [ + 4, + 23 + ], + "localized_name": "text encoder" + }, + { + "id": "a6a63f64-fc04-4e95-b987-9300550d3cc5", + "name": "vae", + "type": "VAE", + "linkIds": [ + 5, + 8, + 17 + ], + "localized_name": "vae" + }, + { + "id": "9bb96b40-5026-472b-afc2-4d1d3b5abb5e", + "name": "model", + "type": "MODEL", + "linkIds": [ + 2 + ], + "localized_name": "model" + } + ], + "outputs": [ + { + "id": "15105741-e995-4204-8fff-b84e2da60300", + "name": "result", + "type": "IMAGE", + "linkIds": [ + 63 + ], + "localized_name": "result", + "pos": [ + 24, + 24 + ] + }, + { + "id": "92ec969d-b57e-4d73-b412-5e70660e698d", + "name": "prompt", + "type": "STRING", + "linkIds": [ + 64 + ], + "localized_name": "prompt", + "pos": [ + 24, + 44 + ] + } + ], + "widgets": [], + "nodes": [ + { + "id": 22, + "type": "StringConcatenate", + "pos": [ + 20, + 334 + ], + "size": [ + 460, + 200 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [ + { + "localized_name": "string_b", + "name": "string_b", + "type": "STRING", + "widget": { + "name": "string_b" + }, + "link": 61 + } + ], + "outputs": [ + { + "localized_name": "STRING", + "name": "STRING", + "type": "STRING", + "slot_index": 0, + "links": [ + 43 + ] + } + ], + "title": "Instruction plus your request", + "properties": { + "Node name for S&R": "StringConcatenate", + "cnr_id": "comfy-core", + "ver": "0.37.0" + }, + "widgets_values": [ + "This picture has two photos side by side. The left photo is the one being finished: a flat mid-gray area on it will be painted. The right photo is a reference. Write one text-to-image prompt for the finished picture, as one paragraph of 60 to 110 words that describes a side-by-side pair of photos. Describe the left photo first: the same person, pose, framing, setting and lighting, now wearing the clothing from the right photo where the gray area is. Describe that clothing exactly as the right photo shows it: garment type, colour, material, knit or weave, pattern, collar, buttons, length and fit. Then say briefly that the right photo shows the same clothing on another person. Never call anything gray, blank, masked or painted. Output only the prompt. What to take from the right photo:", + "", + " " + ], + "widgets_values_named": { + "string_a": "This picture has two photos side by side. The left photo is the one being finished: a flat mid-gray area on it will be painted. The right photo is a reference. Write one text-to-image prompt for the finished picture, as one paragraph of 60 to 110 words that describes a side-by-side pair of photos. Describe the left photo first: the same person, pose, framing, setting and lighting, now wearing the clothing from the right photo where the gray area is. Describe that clothing exactly as the right photo shows it: garment type, colour, material, knit or weave, pattern, collar, buttons, length and fit. Then say briefly that the right photo shows the same clothing on another person. Never call anything gray, blank, masked or painted. Output only the prompt. 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"type": "LATENT", + "links": [ + 387 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.20.1", + "Node name for S&R": "VAEEncode", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 104, + "type": "LCNote", + "pos": [ + -5560, + -3000 + ], + "size": [ + 800, + 1410 + ], + "flags": { + "pinned": true + }, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "notes", + "properties": { + "lc_note": { + "source": "en", + "texts": { + "en": { + "text": "\n# Instructions\n\n---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n## General:\n\n # 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n\n\n## Model Links \n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF version](https://civitai.red/api/download/models/3069586?fileId=2948449). ⚠️ do not use the other ones found on CivitAI. They are garbage.\n\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n**loras**\n\n- [krea2_identity_edit_v1_2](https://huggingface.co/conradlocke/krea2-identity-edit/resolve/main/krea2_identity_edit_v1_2.safetensors?download=true)\n- other versions available [here](https://huggingface.co/conradlocke/krea2-identity-edit/tree/main)\n\n\nNodes:\n\n- [comfyui-krea2edit](https://github.com/lbouaraba/comfyui-krea2edit)\n- [LC123 Nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n\n\n**OOM errors & Tricks**\n\nYou can make the following changes to correct these.\n- Image reduction: Set the prescale to 0.5, This cuts the image size by half. You can pick it up in the hi rez fix area.\n- Hi rez fix: See below\n\n### Aspect Ratio Node:\n\n- Use a preset dimension or your own. If you use your own, make sure to set the preset to \"custom\".\n- Upscale is hooked to the hi res fix\n- Prescale: This will downsize your initial choice, which helps with Low VRAM.\n\n### Hi-REZ upscale:\n- Use Ultra Sharp, Nickelback, or ESRGAN for realism.\n- Use Anime sharp for...well... Anime.\n- If you struggle with VRAM, use the slider at the bottom. It increases the amount of tiles by decreasing the size. Use it only to prevent OOM issues or brick ups. \n- [upscale models](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- If you struggle with noise (often from poorly made Loras), this will do a slightly better job of cleaning it. [Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n\n\n\n### LUT\n\n- You can get free LUTs [HERE](https://freshluts.com)\n- See below for folder location \n\n***DING!*** (play sound)\n- Only works on the portable version for some reason\n- Directions to add your own are below.\n- you have to manually enter the name of the file (case sensitive).\n\n\n### File Storage Locations\n\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── Lut files\n│ ├── 📂 uralytics\n│ │ └── 📂 segm\n│ │ └──detection files\n│ ├── 📂 upscale_models\n│ │ └── upscale models (ESRGAN, Nickelback, etc.)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3 (or any other .mp3 sound)\n" + } + }, + "titles": { + "en": "notes" + } + }, + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "English ✏️", + "\n# Instructions\n\n---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n## General:\n\n # 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n\n\n## Model Links \n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF version](https://civitai.red/api/download/models/3069586?fileId=2948449). ⚠️ do not use the other ones found on CivitAI. They are garbage.\n\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n**loras**\n\n- [krea2_identity_edit_v1_2](https://huggingface.co/conradlocke/krea2-identity-edit/resolve/main/krea2_identity_edit_v1_2.safetensors?download=true)\n- other versions available [here](https://huggingface.co/conradlocke/krea2-identity-edit/tree/main)\n\n\nNodes:\n\n- [comfyui-krea2edit](https://github.com/lbouaraba/comfyui-krea2edit)\n- [LC123 Nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n\n\n**OOM errors & Tricks**\n\nYou can make the following changes to correct these.\n- Image reduction: Set the prescale to 0.5, This cuts the image size by half. You can pick it up in the hi rez fix area.\n- Hi rez fix: See below\n\n### Aspect Ratio Node:\n\n- Use a preset dimension or your own. If you use your own, make sure to set the preset to \"custom\".\n- Upscale is hooked to the hi res fix\n- Prescale: This will downsize your initial choice, which helps with Low VRAM.\n\n### Hi-REZ upscale:\n- Use Ultra Sharp, Nickelback, or ESRGAN for realism.\n- Use Anime sharp for...well... Anime.\n- If you struggle with VRAM, use the slider at the bottom. It increases the amount of tiles by decreasing the size. Use it only to prevent OOM issues or brick ups. \n- [upscale models](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- If you struggle with noise (often from poorly made Loras), this will do a slightly better job of cleaning it. [Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n\n\n\n### LUT\n\n- You can get free LUTs [HERE](https://freshluts.com)\n- See below for folder location \n\n***DING!*** (play sound)\n- Only works on the portable version for some reason\n- Directions to add your own are below.\n- you have to manually enter the name of the file (case sensitive).\n\n\n### File Storage Locations\n\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── Lut files\n│ ├── 📂 uralytics\n│ │ └── 📂 segm\n│ │ └──detection files\n│ ├── 📂 upscale_models\n│ │ └── upscale models (ESRGAN, Nickelback, etc.)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3 (or any other .mp3 sound)\n" + ], + "widgets_values_named": { + "language": "English ✏️", + "text": "\n# Instructions\n\n---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n## General:\n\n # 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n\n\n## Model Links \n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF version](https://civitai.red/api/download/models/3069586?fileId=2948449). ⚠️ do not use the other ones found on CivitAI. They are garbage.\n\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n**loras**\n\n- [krea2_identity_edit_v1_2](https://huggingface.co/conradlocke/krea2-identity-edit/resolve/main/krea2_identity_edit_v1_2.safetensors?download=true)\n- other versions available [here](https://huggingface.co/conradlocke/krea2-identity-edit/tree/main)\n\n\nNodes:\n\n- [comfyui-krea2edit](https://github.com/lbouaraba/comfyui-krea2edit)\n- [LC123 Nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n\n\n**OOM errors & Tricks**\n\nYou can make the following changes to correct these.\n- Image reduction: Set the prescale to 0.5, This cuts the image size by half. You can pick it up in the hi rez fix area.\n- Hi rez fix: See below\n\n### Aspect Ratio Node:\n\n- Use a preset dimension or your own. If you use your own, make sure to set the preset to \"custom\".\n- Upscale is hooked to the hi res fix\n- Prescale: This will downsize your initial choice, which helps with Low VRAM.\n\n### Hi-REZ upscale:\n- Use Ultra Sharp, Nickelback, or ESRGAN for realism.\n- Use Anime sharp for...well... Anime.\n- If you struggle with VRAM, use the slider at the bottom. It increases the amount of tiles by decreasing the size. Use it only to prevent OOM issues or brick ups. \n- [upscale models](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- If you struggle with noise (often from poorly made Loras), this will do a slightly better job of cleaning it. [Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n\n\n\n### LUT\n\n- You can get free LUTs [HERE](https://freshluts.com)\n- See below for folder location \n\n***DING!*** (play sound)\n- Only works on the portable version for some reason\n- Directions to add your own are below.\n- you have to manually enter the name of the file (case sensitive).\n\n\n### File Storage Locations\n\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── Lut files\n│ ├── 📂 uralytics\n│ │ └── 📂 segm\n│ │ └──detection files\n│ ├── 📂 upscale_models\n│ │ └── upscale models (ESRGAN, Nickelback, etc.)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3 (or any other .mp3 sound)\n" + }, + "color": "#2E3A46", + "bgcolor": "#2E3A46" + }, + { + "id": 2860, + "type": "LCPipeEdit", + "pos": [ + -2830, + -3040 + ], + "size": [ + 200, + 530 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 60, + "mode": 0, + "inputs": [ + { + "label": "pipe", + "name": "pipe", + "shape": 7, + "type": "LC_PIPE", + "link": null + }, + { + "label": "Model 1", + "name": "model_1", + "shape": 7, + "type": "MODEL", + "link": 41895 + }, + { + "label": "Clip 1", + "name": "clip_1", + "shape": 7, + "type": "CLIP", + "link": 41896 + }, + { + "label": "VAE 1", + "name": "vae_1", + "shape": 7, + "type": "VAE", + "link": 41887 + }, + { + "label": "Model 2", + "name": "model_2", + "shape": 7, + "type": "MODEL", + "link": null + }, + { + "label": "Clip 2", + "name": "clip_2", + "shape": 7, + "type": "CLIP", + "link": null + }, + { + "label": "VAE 2", + "name": "vae_2", + "shape": 7, + "type": "VAE", + "link": null + }, + { + "label": "Image", + "name": "image", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "label": "Mask", + "name": "mask", + "shape": 7, + "type": "MASK", + "link": null + }, + { + "label": "Width", + "name": "width", + "shape": 7, + "type": "INT", + "link": null + }, + { + "label": "Height", + "name": "height", + "shape": 7, + "type": "INT", + "link": null + }, + { + "label": "Latent", + "name": "latent", + "shape": 7, + "type": "LATENT", + "link": null + }, + { + "label": "Batch", + "name": "batch", + "shape": 7, + "type": "INT", + "link": null + }, + { + "label": "Positive prompt", + "name": "positive_prompt", + "shape": 7, + "type": "STRING", + "link": 41855 + }, + { + "label": "Positive conditioning", + "name": "positive", + "shape": 7, + "type": "CONDITIONING", + "link": null + }, + { + "label": "Negative prompt", + "name": "negative_prompt", + "shape": 7, + "type": "STRING", + "link": null + }, + { + "label": "Negative conditioning", + "name": "negative", + "shape": 7, + "type": "CONDITIONING", + "link": null + }, + { + "label": "Seed", + "name": "seed", + "shape": 7, + "type": "INT", + "link": 41899 + }, + { + "label": "total_steps", + "name": "total_steps", + "shape": 7, + "type": "INT", + "link": 41818 + }, + { + "label": "cfg_1", + "name": "cfg_1", + "shape": 7, + "type": "FLOAT", + "link": 41819 + }, + { + "label": "denoise", + "name": "denoise", + "shape": 7, + "type": "FLOAT", + "link": null + }, + { + "label": "step_swap", + "name": "step_swap", + "shape": 7, + "type": "INT", + "link": null + }, + { + "label": "cfg_2", + "name": "cfg_2", + "shape": 7, + "type": "FLOAT", + "link": null + }, + { + "label": "sampler_name", + "name": "sampler_name", + "shape": 7, + "type": "COMBO", + "link": 41816 + }, + { + "label": "scheduler", + "name": "scheduler", + "shape": 7, + "type": "COMBO", + "link": 41815 + }, + { + "label": "detailer_steps", + "name": "detailer_steps", + "shape": 7, + "type": "INT", + "link": null + } + ], + "outputs": [ + { + "name": "pipe", + "type": "LC_PIPE", + "links": [ + 41826 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "36213c1a71df9075928d3469afa6bbe13c6ceaf1", + "Node name for S&R": "LCPipeEdit", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#324b4b", + "bgcolor": "#324b4b" + }, + { + "id": 240, + "type": "JoinStrings", + "pos": [ + -2840, + -2840 + ], + "size": [ + 270, + 80 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 57, + "mode": 0, + "inputs": [ + { + "name": "string1", + "shape": 7, + "type": "STRING", + "link": 474 + }, + { + "name": "string2", + "shape": 7, + "type": "STRING", + "link": 41856 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 41791 + ] + } + ], + "title": "Text file string join", + "properties": { + "cnr_id": "comfyui-kjnodes", + "ver": "e27a505b3ba6ce42687fe00500deda103d9d6071", + "Node name for S&R": "JoinStrings", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + " " + ], + "widgets_values_named": { + "delimiter": " " + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 175, + "type": "ConditioningZeroOut", + "pos": [ + -2840, + -2760 + ], + "size": [ + 210, + 30 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 64, + "mode": 0, + "inputs": [ + { + "name": "conditioning", + "type": "CONDITIONING", + "link": 369 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 41903 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "ConditioningZeroOut", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 121, + "type": "LCNote", + "pos": [ + -3760, + -1940 + ], + "size": [ + 1150, + 460 + ], + "flags": { + "pinned": true + }, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "⚙️ Settings:", + "properties": { + "lc_note": { + "source": "en", + "texts": { + "en": { + "text": "## ⚙️ Settings\n\n**Load Image 🖼️**\n- ***I cannot stress enough*** 🗑️ in, 🗑️ out.\n- **Load a clean, high quality, front facing headshot**\n- **Optional Image 2 🖼️** helps to strengthen the differing facial expressions. I suggest a smiling on here and a serious on up top.\n\n**Reference Boost Mask 🎭(optional)**\n- I've tried this a couple of times with full body images and it seems to help. ***Mostly Not needed.***\n- open the mask editor and draw a solid mask over the subject's face and hair\n- 💡I suggest locking the seed and trying it a few different times.\n\n\n**Ksampler Settings**\n- **steps total**: number of steps to generate. anywhere between 8-10. It really differs between models\n- **refiner_steps**: This is the amount of steps the refiner uses.\n- **CFG (Classifier Free Guidance):** 1.0\n\n**Prompt list Selector 📝✅**\n- Choose from one of the lists or create your own\n- creating a custom list\n - Enter your prompt, then separate them by hitting return. \n - Each new line is a prompt, so be careful\n\n**Reference Boost**\n- The standard setting is 1.0, but I've noticed that locks facial expressions\n- Balance between Image 1 and Image 2 by using these\n - 1 for both seems to work pretty well. \n- Lower settings mean less attention to the character\n- ⚠️ lower settings help with expressions, but this does not do expressions very well.\n- If clothing 👗 or other items appear in your processed image, then lower it or choose a different image (see 💡 notes below)\n\n\n### Instructions: \n\n- Load an upper torso headshot only\n- Name your character\n- Determine the size of the image output in the aspect ratio node\n - 💡if you generate a lot in a certain size (for me it's 1080x1350), it is best to make a dataset matching that \n- Review the prompts to make sure they match your character\n- 👋 The *Generation anchor ⚓* helps to make sure that clothing does not transfer as well as add a few quality modifiers. This is for *realism*. I have not tested this workflow on anything else, so I cannot attest to whether it will need to be modified. \n- enter the **anchor text⚓**:\n - examples: \"fit, blonde hair, green eyes, medium breasts\"\n\n**LoRAs**\n- Place realism LoRAs or style loRAs here\n- ⚠️ I have no character LoRAs. I cannot tell you if this helps or not. Try it out and let me know\n\n**💾 Save area**\n- The Run # is added to the prefix so that you can tell the difference. Reset as necessary\n\n**💡 Tips & Tricks**\n- Use a **Headshot** as your main image. \n- **🗑️ in = 🗑️ out.** If the quality of your image is low, then the results will match. \n- ⚠️ **The program defaults to original image clothing👗👚 **. This is overcome by the prompt and reference boost adjustment. *If you make custom prompts, be aware of this*\n- Use the pre-scale selector in the aspect ratio node to cut down on size instead of manually reducing it.\n- I **Highly Suggest** running several different variances of this (seed/ prompts/ etc.), then choosing the best images" + } + }, + "titles": { + "en": "⚙️ Settings:" + } + }, + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "English ✏️", + "## ⚙️ Settings\n\n**Load Image 🖼️**\n- ***I cannot stress enough*** 🗑️ in, 🗑️ out.\n- **Load a clean, high quality, front facing headshot**\n- **Optional Image 2 🖼️** helps to strengthen the differing facial expressions. I suggest a smiling on here and a serious on up top.\n\n**Reference Boost Mask 🎭(optional)**\n- I've tried this a couple of times with full body images and it seems to help. ***Mostly Not needed.***\n- open the mask editor and draw a solid mask over the subject's face and hair\n- 💡I suggest locking the seed and trying it a few different times.\n\n\n**Ksampler Settings**\n- **steps total**: number of steps to generate. anywhere between 8-10. It really differs between models\n- **refiner_steps**: This is the amount of steps the refiner uses.\n- **CFG (Classifier Free Guidance):** 1.0\n\n**Prompt list Selector 📝✅**\n- Choose from one of the lists or create your own\n- creating a custom list\n - Enter your prompt, then separate them by hitting return. \n - Each new line is a prompt, so be careful\n\n**Reference Boost**\n- The standard setting is 1.0, but I've noticed that locks facial expressions\n- Balance between Image 1 and Image 2 by using these\n - 1 for both seems to work pretty well. \n- Lower settings mean less attention to the character\n- ⚠️ lower settings help with expressions, but this does not do expressions very well.\n- If clothing 👗 or other items appear in your processed image, then lower it or choose a different image (see 💡 notes below)\n\n\n### Instructions: \n\n- Load an upper torso headshot only\n- Name your character\n- Determine the size of the image output in the aspect ratio node\n - 💡if you generate a lot in a certain size (for me it's 1080x1350), it is best to make a dataset matching that \n- Review the prompts to make sure they match your character\n- 👋 The *Generation anchor ⚓* helps to make sure that clothing does not transfer as well as add a few quality modifiers. This is for *realism*. I have not tested this workflow on anything else, so I cannot attest to whether it will need to be modified. \n- enter the **anchor text⚓**:\n - examples: \"fit, blonde hair, green eyes, medium breasts\"\n\n**LoRAs**\n- Place realism LoRAs or style loRAs here\n- ⚠️ I have no character LoRAs. I cannot tell you if this helps or not. Try it out and let me know\n\n**💾 Save area**\n- The Run # is added to the prefix so that you can tell the difference. Reset as necessary\n\n**💡 Tips & Tricks**\n- Use a **Headshot** as your main image. \n- **🗑️ in = 🗑️ out.** If the quality of your image is low, then the results will match. \n- ⚠️ **The program defaults to original image clothing👗👚 **. This is overcome by the prompt and reference boost adjustment. *If you make custom prompts, be aware of this*\n- Use the pre-scale selector in the aspect ratio node to cut down on size instead of manually reducing it.\n- I **Highly Suggest** running several different variances of this (seed/ prompts/ etc.), then choosing the best images" + ], + "widgets_values_named": { + "language": "English ✏️", + "text": "## ⚙️ Settings\n\n**Load Image 🖼️**\n- ***I cannot stress enough*** 🗑️ in, 🗑️ out.\n- **Load a clean, high quality, front facing headshot**\n- **Optional Image 2 🖼️** helps to strengthen the differing facial expressions. I suggest a smiling on here and a serious on up top.\n\n**Reference Boost Mask 🎭(optional)**\n- I've tried this a couple of times with full body images and it seems to help. ***Mostly Not needed.***\n- open the mask editor and draw a solid mask over the subject's face and hair\n- 💡I suggest locking the seed and trying it a few different times.\n\n\n**Ksampler Settings**\n- **steps total**: number of steps to generate. anywhere between 8-10. It really differs between models\n- **refiner_steps**: This is the amount of steps the refiner uses.\n- **CFG (Classifier Free Guidance):** 1.0\n\n**Prompt list Selector 📝✅**\n- Choose from one of the lists or create your own\n- creating a custom list\n - Enter your prompt, then separate them by hitting return. \n - Each new line is a prompt, so be careful\n\n**Reference Boost**\n- The standard setting is 1.0, but I've noticed that locks facial expressions\n- Balance between Image 1 and Image 2 by using these\n - 1 for both seems to work pretty well. \n- Lower settings mean less attention to the character\n- ⚠️ lower settings help with expressions, but this does not do expressions very well.\n- If clothing 👗 or other items appear in your processed image, then lower it or choose a different image (see 💡 notes below)\n\n\n### Instructions: \n\n- Load an upper torso headshot only\n- Name your character\n- Determine the size of the image output in the aspect ratio node\n - 💡if you generate a lot in a certain size (for me it's 1080x1350), it is best to make a dataset matching that \n- Review the prompts to make sure they match your character\n- 👋 The *Generation anchor ⚓* helps to make sure that clothing does not transfer as well as add a few quality modifiers. This is for *realism*. I have not tested this workflow on anything else, so I cannot attest to whether it will need to be modified. \n- enter the **anchor text⚓**:\n - examples: \"fit, blonde hair, green eyes, medium breasts\"\n\n**LoRAs**\n- Place realism LoRAs or style loRAs here\n- ⚠️ I have no character LoRAs. I cannot tell you if this helps or not. Try it out and let me know\n\n**💾 Save area**\n- The Run # is added to the prefix so that you can tell the difference. Reset as necessary\n\n**💡 Tips & Tricks**\n- Use a **Headshot** as your main image. \n- **🗑️ in = 🗑️ out.** If the quality of your image is low, then the results will match. \n- ⚠️ **The program defaults to original image clothing👗👚 **. This is overcome by the prompt and reference boost adjustment. *If you make custom prompts, be aware of this*\n- Use the pre-scale selector in the aspect ratio node to cut down on size instead of manually reducing it.\n- I **Highly Suggest** running several different variances of this (seed/ prompts/ etc.), then choosing the best images" + }, + "color": "#2E3A46", + "bgcolor": "#2E3A46" + }, + { + "id": 114, + "type": "LCNote", + "pos": [ + -2840, + -2470 + ], + "size": [ + 230, + 290 + ], + "flags": { + "pinned": true + }, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "What is this?", + "properties": { + "lc_note": { + "source": "en", + "texts": { + "en": { + "text": "**What is this?**\n\n- In order to save space and avoid a lot of looking around, I place all the backend stuff in areas like this on every workflow. This is stuff the user should never have to touch.\n- if you click on the ⚪ in the corner of the node, it expands, allowing you to make adjustments" + } + }, + "titles": { + "en": "What is this?" + } + }, + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "English ✏️", + "**What is this?**\n\n- In order to save space and avoid a lot of looking around, I place all the backend stuff in areas like this on every workflow. This is stuff the user should never have to touch.\n- if you click on the ⚪ in the corner of the node, it expands, allowing you to make adjustments" + ], + "widgets_values_named": { + "language": "English ✏️", + "text": "**What is this?**\n\n- In order to save space and avoid a lot of looking around, I place all the backend stuff in areas like this on every workflow. 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"input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "KREA 2 INPAINT EDIT — LANPAINT TEST BUILD\nIdentity Edit v1.2 + LanPaint + Inpaint Crop & Stitch\n\nPURPOSE\nThis experimental build tests whether LanPaint improves local edits that must follow textures, lighting, geometry and visual context around the mask.\n\nQUICK START\n1) Load the source image and paint a fully opaque mask.\n2) Write a direct edit instruction.\n3) Queue Prompt.\n4) Compare this result against the original v2.0 workflow using the same image, mask, prompt and seed.\n\nPIPELINE\nCrop image → VAE encode → Set Latent Noise Mask → Krea2 Identity Patch → LanPaint KSampler → Decode → Stitch into the untouched original.\n\nRequired custom nodes:\n• LanPaint\n• comfyui-krea2edit\n• ComfyUI-Inpaint-CropAndStitch\n• rgthree-comfy (comparison viewer only)" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 2, + "type": "CLIPLoader", + "pos": [ + 60, + 20 + ], + "size": [ + 380, + 140 + ], + "flags": {}, + "order": 1, + "mode": 0, + "inputs": [], + "outputs": [ + { + "label": "CLIP", + "name": "CLIP", + "type": "CLIP", + "links": [ + 3, + 4 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "CLIPLoader", + "models": [ + { + "name": "qwen3vl_4b_fp8_scaled.safetensors", + "url": "https://huggingface.co/Comfy-Org/Qwen3-VL/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors", + "directory": "text_encoders" + } + ], + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "qwen3vl_4b_fp8_scaled.safetensors", + "krea2", + "default" + ] + }, + { + "id": 101, + "type": "Note", + "pos": [ + 60, + 520 + ], + "size": [ + 380, + 260 + ], + "flags": {}, + "order": 2, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Models & modes", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Default: Krea 2 Turbo FP8, LoRA v1.2 @ 1.0.\n\nTurbo edits: 8–12 steps, CFG 1.\nRemovals/deletions: switch UNET to krea2_raw_fp8_scaled, use about 20 steps and CFG 3; keep the grounded negative empty.\n\nThe v1.2 pixel path is wired: VAE + source_image feed Krea2EditModelPatch with fit_mode = fit." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 30, + "type": "VAEEncode", + "pos": [ + 1620, + 60 + ], + "size": [ + 230, + 70 + ], + "flags": { + "collapsed": true + }, + "order": 16, + "mode": 0, + "inputs": [ + { + "label": "pixels", + "name": "pixels", + "type": "IMAGE", + "link": 13 + }, + { + "label": "vae", + "name": "vae", + "type": "VAE", + "link": 5 + } + ], + "outputs": [ + { + "label": "LATENT", + "name": "LATENT", + "type": "LATENT", + "links": [ + 17, + 45 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "VAEEncode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 104, + "type": "Note", + "pos": [ + 1620, + 330 + ], + "size": [ + 620, + 330 + ], + "flags": {}, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Instruction and grounding", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "PROMPTING\nDescribe the exact local change in natural language. The mask controls where the final result is blended; the instruction controls what Krea generates.\n\nExamples:\n• “Replace the masked helmet with a matte black bicycle helmet.”\n• “Change only the masked jacket to dark green leather.”\n• “Remove the masked sign and reconstruct the wall behind it.”\n\ngrounding_px:\n512 = stronger instruction adherence\n768 = balanced default\n1024 = stronger face/identity likeness\n\nAt CFG > 1, keep the grounded negative connected and empty." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 105, + "type": "Note", + "pos": [ + 2320, + 510 + ], + "size": [ + 840, + 320 + ], + "flags": {}, + "order": 4, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "LanPaint test preset", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "LANPAINT CONTEXT TEST\nSampler: LanPaint KSampler\nKrea2 Turbo: 8 diffusion steps, CFG 1, Euler, Simple, denoise 1\nLanPaint thinking steps: 3\nPrompt mode: Image First\n\nImage First prioritizes visual context and continuity. If the requested change is ignored, try Prompt First or make the instruction more explicit.\n\nFor fair A/B testing, reuse the same image, mask, prompt and seed in the original workflow. LanPaint is slower because each diffusion step contains additional thinking iterations." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 36, + "type": "VAEDecode", + "pos": [ + 3240, + -40 + ], + "size": [ + 230, + 70 + ], + "flags": { + "collapsed": true + }, + "order": 22, + "mode": 0, + "inputs": [ + { + "label": "samples", + "name": "samples", + "type": "LATENT", + "link": 48 + }, + { + "label": "vae", + "name": "vae", + "type": "VAE", + "link": 8 + } + ], + "outputs": [ + { + "label": "IMAGE", + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 28 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "VAEDecode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 39, + "type": "Image Comparer (rgthree)", + "pos": [ + 3240, + 310 + ], + "size": [ + 880, + 520 + ], + "flags": {}, + "order": 24, + "mode": 0, + "inputs": [ + { + "dir": 3, + "label": "image_a", + "name": "image_a", + "type": "IMAGE", + "link": 34 + }, + { + "dir": 3, + "label": "image_b", + "name": "image_b", + "type": "IMAGE", + "link": 30 + } + ], + "outputs": [ + { + "dir": 4, + "label": "images", + "name": "images", + "shape": 3, + "type": "IMAGE", + "links": [] + } + ], + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "27b4f4cdcf3b127c29d5d8135ac1536ecbd4c383", + "comparer_mode": "Slide", + "Node name for S&R": "Image Comparer (rgthree)", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + [ + { + "name": "A", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_rzjby_00037_.png&type=temp&subfolder=&rand=0.1701630130674907" + }, + { + "name": "B", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_rzjby_00038_.png&type=temp&subfolder=&rand=0.43375389412773835" + } + ] + ] + }, + { + "id": 106, + "type": "Note", + "pos": [ + 3240, + 880 + ], + "size": [ + 880, + 270 + ], + "flags": {}, + "order": 5, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Output behavior", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "OUTPUT\nThe LanPaint result is decoded and passed directly to Inpaint Stitch. LanPaint Mask Blend is intentionally not used because Crop & Stitch already handles reintegration into the full-resolution original.\n\nComparer:\nA = original source\nB = final LanPaint + Identity Edit + Crop & Stitch result\n\nIf the edit ignores context, increase the crop context factor. If it follows the image but ignores the instruction, try Prompt First. If borders appear, adjust stitch blending rather than softening the LanPaint generation mask." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 102, + "type": "Note", + "pos": [ + 497.643902120153, + 536.0244045931214 + ], + "size": [ + 1046.858584095138, + 213.81947791747552 + ], + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Mask / context settings for LanPaint", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "LANPAINT MASK / CROP TEST SETTINGS\n• Paint a hard, fully opaque mask. LanPaint expects a binary edit region.\n• The cropped mask is connected to SetLatentNoiseMask.\n• Context factor is increased from 1.5 to 2.0 so the sampler sees more of the surrounding image.\n• Crop output remains 1024×1024 for this first controlled test.\n• mask_expand_pixels = 8 and stitch blend = 32 remain unchanged.\n• The edit mask is still not connected to ref_boost_mask; those inputs serve different purposes." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 37, + "type": "InpaintStitchImproved", + "pos": [ + 3240, + 100 + ], + "size": [ + 344.2359375, + 110 + ], + "flags": {}, + "order": 23, + "mode": 0, + "inputs": [ + { + "label": "stitcher", + "name": "stitcher", + "type": "STITCHER", + "link": 12 + }, + { + "label": "inpainted_image", + "name": "inpainted_image", + "type": "IMAGE", + "link": 28 + } + ], + "outputs": [ + { + "label": "IMAGE", + "name": "image", + "type": "IMAGE", + "links": [ + 30, + 31 + ] + } + ], + "title": "✂️ Inpaint Stitch — preserve unmasked pixels", + "properties": { + "cnr_id": "comfyui-inpaint-cropandstitch", + "ver": "3617559bcb9d15ff60b24c6800701402eb2cd478", + "Node name for S&R": "InpaintStitchImproved", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 107, + "type": "PreviewImage", + "pos": [ + 3605.745607826923, + -150.49707550969597 + ], + "size": [ + 519.005914232037, + 402.31595336918355 + ], + "flags": {}, + "order": 25, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 31 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.3", + "Node name for S&R": "PreviewImage", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [] + }, + { + "id": 109, + "type": "Power Lora Loader (rgthree)", + "pos": [ + 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"KNPV4.1_pre.safetensors", + "strength": 1, + "strengthTwo": null + }, + {}, + "" + ] + }, + { + "id": 21, + "type": "VAEEncode", + "pos": [ + 1034.573183163742, + 976.7438900245264 + ], + "size": [ + 230, + 70 + ], + "flags": { + "collapsed": true + }, + "order": 13, + "mode": 4, + "inputs": [ + { + "label": "pixels", + "name": "pixels", + "type": "IMAGE", + "link": 44 + }, + { + "label": "vae", + "name": "vae", + "type": "VAE", + "link": 6 + } + ], + "outputs": [ + { + "label": "LATENT", + "name": "LATENT", + "type": "LATENT", + "links": [ + 22 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "VAEEncode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 103, + "type": "Note", + "pos": [ + 1019.3780364010627, + 898.5845216677972 + ], + "size": [ + 510, + 250 + ], + "flags": {}, + "order": 7, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "Enable for two-reference edits", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "OPTIONAL SECOND REFERENCE — BYPASSED\nEnable both purple nodes for person-into-scene or two-reference edits.\nMain crop = scene/reference A.\nThis node = person/object/reference B.\n\nThe same B image is sent to source_latent_b, source_image_b, and image_b on both grounded encoders, matching the current Identity Edit v1.2 example." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 111, + "type": "LoadImage", + "pos": [ + 505.23619601862197, + 891.1653295307391 + ], + "size": [ + 492.9167490112827, + 528.5271049363117 + ], + "flags": {}, + "order": 8, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 41, + 42, + 43, + 44 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.3", + "Node name for S&R": "LoadImage", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "tumblr_704060099ac69ca2d95b5c4822dc90d0_e19391c7_1280.jpg", + "image" + ] + }, + { + "id": 32, + "type": "Krea2EditGroundedEncode", + "pos": [ + 1620, + 200 + ], + "size": [ + 230, + 190 + ], + "flags": { + "collapsed": true + }, + "order": 18, + "mode": 0, + "inputs": [ + { + "label": "clip", + "name": "clip", + "type": "CLIP", + "link": 4 + }, + { + "label": "image", + "name": "image", + "shape": 7, + "type": "IMAGE", + "link": 15 + }, + { + "label": "image_b", + "name": "image_b", + "shape": 7, + "type": "IMAGE", + "link": 42 + } + ], + "outputs": [ + { + "label": "CONDITIONING", + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 25 + ] + } + ], + "title": "Negative — leave empty", + "properties": { + "cnr_id": "comfyui-krea2edit", + "ver": "7e68e90983b25e64dd02ac5d0c10593ea72a4cde", + "Node name for S&R": "Krea2EditGroundedEncode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "", + 768, + "" + ] + }, + { + "id": 112, + "type": "SetLatentNoiseMask", + "pos": [ + 2320, + 290 + ], + "size": [ + 300, + 120 + ], + "flags": {}, + "order": 20, + "mode": 0, + "inputs": [ + { + "label": "samples", + "name": "samples", + "type": "LATENT", + "link": 45 + }, + { + "label": "mask", + "name": "mask", + "type": "MASK", + "link": 46 + } + ], + "outputs": [ + { + "label": "LATENT", + "name": "LATENT", + "type": "LATENT", + "links": [ + 47 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.3", + "Node name for S&R": "SetLatentNoiseMask", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 114, + "type": "Note", + "pos": [ + 2320, + 870 + ], + "size": [ + 840, + 250 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "How to evaluate this test", + "properties": { + "Node name for S&R": "Note", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "TEST WITH CASES THAT CURRENTLY FAIL\n• Continue wall, fabric, hair, line-art or repeating textures through the mask.\n• Replace an object while preserving nearby perspective and shadows.\n• Remove an object and reconstruct the surface behind it.\n\nJudge separately:\n1) prompt adherence,\n2) continuity at the mask boundary,\n3) consistency with surrounding texture/lighting,\n4) identity preservation,\n5) runtime.\n\nThis combination is experimental: LanPaint officially supports Krea2 Turbo, but this file additionally stacks the Identity Edit LoRA and model patch." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 33, + "type": 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"name": "mask", + "type": "MASK", + "link": 38 + } + ], + "outputs": [ + { + "localized_name": "MASK", + "name": "MASK", + "type": "MASK", + "links": [ + 59 + ] + } + ], + "title": "Grow the noise mask", + "properties": { + "Node name for S&R": "GrowMask", + "cnr_id": "comfy-core", + "ver": "0.37.0" + }, + "widgets_values": [ + 24, + true + ], + "widgets_values_named": { + "expand": 24, + "tapered_corners": true + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 38, + "type": "MarkdownNote", + "pos": [ + 400, + 80 + ], + "size": [ + 380, + 88 + ], + "flags": {}, + "order": 1, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note", + "properties": {}, + "widgets_values": [ + "Grow, soften, blend and context scale with the picture: 12, 4, 24 and 192 px at 2.25 MP and up, less on smaller pictures." + ], + "widgets_values_named": { + "text": "Grow, soften, blend and context scale with the picture: 12, 4, 24 and 192 px at 2.25 MP and up, less on smaller pictures." + }, + "color": "#1f2c38", + "bgcolor": "#2a3b4a" + }, + { + "id": 39, + "type": "MarkdownNote", + "pos": [ + 860, + 80 + ], + "size": [ + 380, + 88 + ], + "flags": {}, + "order": 2, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note", + "properties": {}, + "widgets_values": [ + "The crop is the painted area plus room around it: twice its size and up to 192 px more, scaled to about 1.6 MP." + ], + "widgets_values_named": { + "text": "The crop is the painted area plus room around it: twice its size and up to 192 px more, scaled to about 1.6 MP." + }, + "color": "#1f2c38", + "bgcolor": "#2a3b4a" + }, + { + "id": 40, + "type": "MarkdownNote", + "pos": [ + 1320, + 80 + ], + "size": [ + 420, + 88 + ], + "flags": {}, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note", + "properties": {}, + "widgets_values": [ + "The painted area, grown a little, is filled with flat gray. Krea 2 never sees what you are replacing." + ], + "widgets_values_named": { + "text": "The painted area, grown a little, is filled with flat gray. Krea 2 never sees what you are replacing." + }, + "color": "#1f2c38", + "bgcolor": "#2a3b4a" + } + ], + "groups": [ + { + "id": 90, + "title": "1 · Picture size", + "bounding": [ + 0, + 0, + 340, + 238 + ], + "color": "#1d5560", + "flags": {} + }, + { + "id": 91, + "title": "2 · Size math", + "bounding": [ + 380, + 0, + 420, + 1014 + ], + "color": "#1d5560", + "flags": {} + }, + { + "id": 92, + "title": "3 · Mask and crop", + "bounding": [ + 840, + 0, + 420, + 1041 + ], + "color": "#1d5560", + "flags": {} + }, + { + "id": 93, + "title": "4 · Gray out", + "bounding": [ + 1300, + 0, + 460, + 760 + ], + "color": "#1d5560", + "flags": {} + } + ], + "links": [ + { + "id": 31, + "origin_id": 24, + "origin_slot": 0, + "target_id": 25, + "target_slot": 1, + "type": "MASK" + }, + { + "id": 32, + "origin_id": 25, + "origin_slot": 0, + "target_id": 27, + "target_slot": 0, + "type": "IMAGE" + }, + { + "id": 33, + "origin_id": 26, + "origin_slot": 0, + "target_id": 27, + "target_slot": 1, + "type": "IMAGE" + }, + { + "id": 34, + "origin_id": 25, + "origin_slot": 1, + "target_id": 27, + "target_slot": 2, + "type": "MASK" + }, + { + "id": 38, + "origin_id": 25, + "origin_slot": 1, + "target_id": 28, + "target_slot": 0, + "type": "MASK" + }, + { + "id": 46, + "origin_id": 29, + "origin_slot": 0, + "target_id": 30, + "target_slot": 0, + "type": "INT" + }, + { + "id": 47, + "origin_id": 29, + "origin_slot": 1, + "target_id": 30, + "target_slot": 1, + "type": "INT" + }, + { + "id": 48, + "origin_id": 29, + "origin_slot": 0, + "target_id": 31, + "target_slot": 0, + "type": "INT" + }, + { + "id": 49, + "origin_id": 29, + "origin_slot": 1, + "target_id": 31, + "target_slot": 1, + "type": "INT" + }, + { + "id": 50, + "origin_id": 29, + "origin_slot": 0, + "target_id": 32, + "target_slot": 0, + "type": "INT" + }, + { + "id": 51, + "origin_id": 29, + "origin_slot": 1, + "target_id": 32, + "target_slot": 1, + "type": "INT" + }, + { + "id": 52, + "origin_id": 29, + "origin_slot": 0, + "target_id": 33, + "target_slot": 0, + "type": "INT" + }, + { + "id": 53, + "origin_id": 29, + "origin_slot": 1, + "target_id": 33, + "target_slot": 1, + "type": "INT" + }, + { + "id": 54, + "origin_id": 30, + "origin_slot": 1, + "target_id": 24, + "target_slot": 2, + "type": "INT" + }, + { + "id": 55, + "origin_id": 31, + "origin_slot": 0, + "target_id": 24, + "target_slot": 3, + "type": "FLOAT" + }, + { + "id": 30, + "origin_id": -10, + "origin_slot": 0, + "target_id": 25, + "target_slot": 0, + "type": "IMAGE" + }, + { + "id": 45, + "origin_id": -10, + "origin_slot": 0, + "target_id": 29, + "target_slot": 0, + "type": "IMAGE" + }, + { + "id": 29, + "origin_id": -10, + "origin_slot": 1, + "target_id": 24, + "target_slot": 0, + "type": "MASK" + }, + { + "id": 58, + "origin_id": 27, + "origin_slot": 0, + "target_id": -20, + "target_slot": 0, + "type": "IMAGE" + }, + { + "id": 59, + "origin_id": 28, + "origin_slot": 0, + "target_id": -20, + "target_slot": 1, + "type": "MASK" + }, + { + "id": 60, + "origin_id": 25, + "origin_slot": 2, + "target_id": -20, + "target_slot": 2, + "type": "AUSBOSS_STITCHER" + }, + { + "id": 56, + "origin_id": 32, + "origin_slot": 1, + "target_id": 25, + "target_slot": 2, + "type": "INT" + }, + { + "id": 57, + "origin_id": 33, + "origin_slot": 1, + "target_id": 25, + "target_slot": 3, + "type": "INT" + } + ], + "extra": {} + }, + { + "id": "46b7ce1c-63e0-419d-88f7-7f30c79c0faf", + "version": 1, + "state": { + "lastGroupId": 97, + "lastNodeId": 44, + "lastLinkId": 76, + "lastRerouteId": 0 + }, + "revision": 0, + "config": {}, + "name": "Paint with Krea 2", + "inputNode": { + "id": -10, + "bounding": [ + -260, + 120, + 128, + 220 + ] + }, + "outputNode": { + "id": -20, + "bounding": [ + 2240, + 120, + 128, + 100 + ] + }, + "inputs": [ + { + "id": "dbd71bac-5f6d-494e-be25-4a57d7fbc747", + "name": "gray-filled crop", + "type": "IMAGE", + "linkIds": [ + 35, + 36, + 37 + ], + "localized_name": "gray-filled crop", + "pos": [ + 51, + 24 + ] + }, + { + "id": "bcace52c-0a16-4d47-b7e5-43032f3b721d", + "name": "noise mask", + "type": "MASK", + "linkIds": [ + 39 + ], + "localized_name": "noise mask", + "pos": [ + 51, + 44 + ] + }, + { + "id": "cf1f1724-cc04-48aa-a99d-7a9100773a71", + "name": "stitcher", + "type": "AUSBOSS_STITCHER", + "linkIds": [ + 40, + 41 + ], + "localized_name": "stitcher", + "pos": [ + 51, + 64 + ] + }, + { + "id": "0bec8963-77ba-46c5-a4bb-784d30e7c7bf", + "name": "request", + "type": "STRING", + "linkIds": [ + 27 + ], + "localized_name": "request", + "pos": [ + 51, + 84 + ] + }, + { + "id": "feecbd25-b25b-4357-bfe6-1d9f477ac0c9", + "name": "seed", + "type": "INT", + "linkIds": [ + 15 + ], + "localized_name": "seed", + "pos": [ + 51, + 104 + ] + }, + { + "id": "cf6f7cdb-7f63-4e87-9402-1a4d84bc828d", + "name": "text encoder", + "type": "CLIP", + "linkIds": [ + 4, + 23 + ], + "localized_name": "text encoder", + "pos": [ + 51, + 124 + ] + }, + { + "id": "a6a63f64-fc04-4e95-b987-9300550d3cc5", + "name": "vae", + "type": "VAE", + "linkIds": [ + 5, + 8, + 17 + ], + "localized_name": "vae", + "pos": [ + 51, + 144 + ] + }, + { + "id": "9bb96b40-5026-472b-afc2-4d1d3b5abb5e", + "name": "model", + "type": "MODEL", + "linkIds": [ + 2 + ], + "localized_name": "model", + "pos": [ + 51, + 164 + ] + } + ], + "outputs": [ + { + "id": "15105741-e995-4204-8fff-b84e2da60300", + "name": "result", + "type": "IMAGE", + "linkIds": [ + 63 + ], + "localized_name": "result", + "pos": [ + 24, + 24 + ] + }, + { + "id": "92ec969d-b57e-4d73-b412-5e70660e698d", + "name": "prompt", + "type": "STRING", + "linkIds": [ + 64 + ], + "localized_name": "prompt", + "pos": [ + 24, + 44 + ] + } + ], + "widgets": [], + "nodes": [ + { + "id": 22, + "type": "StringConcatenate", + "pos": [ + 20, + 304 + ], + "size": [ + 460, + 200 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [ + { + "localized_name": "string_b", + "name": "string_b", + "type": "STRING", + "widget": { + "name": "string_b" + }, + "link": 61 + } + ], + "outputs": [ + { + "localized_name": "STRING", + "name": "STRING", + "type": "STRING", + "slot_index": 0, + "links": [ + 43 + ] + } + ], + "title": "Instruction plus your request", + "properties": { + "Node name for S&R": "StringConcatenate", + "cnr_id": "comfy-core", + "ver": "0.37.0" + }, + "widgets_values": [ + "Write one text-to-image prompt describing this picture as it will look when finished: one paragraph of 40 to 80 words covering the subject, setting, materials, lighting and camera style. The flat mid-gray area will be painted: never call it gray, blank, masked or painted, and describe it as part of the finished scene. Output only the prompt. What the gray area shows:", + "", + " " + ], + "widgets_values_named": { + "string_a": "Write one text-to-image prompt describing this picture as it will look when finished: one paragraph of 40 to 80 words covering the subject, setting, materials, lighting and camera style. The flat mid-gray area will be painted: never call it gray, blank, masked or painted, and describe it as part of the finished scene. Output only the prompt. What the gray area shows:", + "string_b": "", + "delimiter": " " + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 19, + "type": "TextGenerate", + "pos": [ + 20, + 574 + ], + "size": [ + 460, + 440 + ], + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [ + { + "localized_name": "clip", + "name": "clip", + "type": "CLIP", + "link": 23 + }, + { + "localized_name": "image", + "name": "image", + "shape": 7, + "type": "IMAGE", + "link": 37 + }, + { + "localized_name": "video", + "name": "video", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "localized_name": "audio", + "name": "audio", + "shape": 7, + "type": "AUDIO", + "link": null + }, + { + "localized_name": "prompt", + "name": "prompt", + "type": "STRING", + "widget": { + "name": "prompt" + }, + "link": 43 + } + ], + "outputs": [ + { + "localized_name": "generated_text", + "name": "generated_text", + "type": "STRING", + "links": [ + 44, + 64 + ] + } + ], + "title": "Describe the finished picture", + "properties": { + "Node name for S&R": "TextGenerate", + "cnr_id": "comfy-core", + "ver": "0.37.0" + }, + "widgets_values": [ + "Describe only the visible subject, setting, materials, composition and lighting in 60 to 90 words. Use plain factual language. Do not invent actions, camera motion, sound or objects. Output only the description.", + 180, + "on", + 0.7, + 64, + 0.95, + 0.05, + 1.05, + 20260922, + 0, + true, + true, + "auto" + ], + "widgets_values_named": { + "prompt": "Describe only the visible subject, setting, materials, composition and lighting in 60 to 90 words. Use plain factual language. Do not invent actions, camera motion, sound or objects. Output only the description.", + "max_length": 180, + "sampling_mode": "on", + "sampling_mode.temperature": 0.7, + "sampling_mode.top_k": 64, + "sampling_mode.top_p": 0.95, + "sampling_mode.min_p": 0.05, + "sampling_mode.repetition_penalty": 1.05, + "sampling_mode.seed": 20260922, + "sampling_mode.presence_penalty": 0, + "thinking": true, + "use_default_template": true, + "mtp": "auto" + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 6, + "type": "AUSBOSS_NODES_Krea2Encode", + "pos": [ + 560, + 238 + ], + "size": [ + 460, + 324 + ], + "flags": {}, + "order": 4, + "mode": 0, + "inputs": [ + { + "localized_name": "clip", + "name": "clip", + "type": "CLIP", + "link": 4 + }, + { + "localized_name": "vae", + "name": "vae", + "shape": 7, + "type": "VAE", + "link": 5 + }, + { + "localized_name": "reference", + "name": "reference", + "shape": 7, + "type": "IMAGE", + "link": 35 + }, + { + "localized_name": "extra_image", + "name": "extra_image", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "localized_name": "mask", + "name": "mask", + "shape": 7, + "type": "MASK", + "link": null + }, + { + "localized_name": "prompt", + "name": "prompt", + "type": "STRING", + "widget": { + "name": "prompt" + }, + "link": 44 + } + ], + "outputs": [ + { + "localized_name": "positive", + "name": "positive", + "type": "CONDITIONING", + "links": [ + 12 + ] + }, + { + "localized_name": "negative", + "name": "negative", + "type": "CONDITIONING", + "links": [ + 13 + ] + } + ], + "title": "Krea 2 Encode - Prompt and reference", + "properties": { + "Node name for S&R": "AUSBOSS_NODES_Krea2Encode", + "cnr_id": "ausboss-nodes", + "ver": "2.3.0" + }, + "widgets_values": [ + "", + "", + true + ], + "widgets_values_named": { + "prompt": "", + "negative_prompt": "", + "vlm_reference": true + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 7, + "type": "AUSBOSS_NODES_Krea2OutpaintModelPatch", + "pos": [ + 1100, + 238 + ], + "size": [ + 460, + 172 + ], + "flags": {}, + "order": 5, + "mode": 0, + "inputs": [ + { + "localized_name": "model", + "name": "model", + "type": "MODEL", + "link": 2 + }, + { + "localized_name": "stitcher", + "name": "stitcher", + "type": "AUSBOSS_STITCHER", + "link": 40 + } + ], + "outputs": [ + { + "localized_name": "model", + "name": "model", + "type": "MODEL", + "links": [ + 11 + ] + } + ], + "title": "Krea 2 Outpaint Model Patch - Reference and placement", + "properties": { + "Node name for S&R": "AUSBOSS_NODES_Krea2OutpaintModelPatch", + "cnr_id": "ausboss-nodes", + "ver": "2.3.0" + }, + "widgets_values": [ + true, + "whole canvas" + ], + "widgets_values_named": { + "kv_cache": true, + "placement": "whole canvas" + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 8, + "type": "VAEEncode", + "pos": [ + 560, + 612 + ], + "size": [ + 460, + 46 + ], + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [ + { + "localized_name": "pixels", + "name": "pixels", + "type": "IMAGE", + "link": 36 + }, + { + "localized_name": "vae", + "name": "vae", + "type": "VAE", + "link": 8 + } + ], + "outputs": [ + { + "localized_name": "LATENT", + "name": "LATENT", + "type": "LATENT", + "links": [ + 9 + ] + } + ], + "title": "Crop to latent", + "properties": { + "Node name for S&R": "VAEEncode", + "cnr_id": "comfy-core", + "ver": "0.37.0" + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 9, + "type": "SetLatentNoiseMask", + "pos": [ + 560, + 728 + ], + "size": [ + 460, + 46 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [ + { + "localized_name": "samples", + "name": "samples", + "type": "LATENT", + "link": 9 + }, + { + "localized_name": "mask", + "name": "mask", + "type": "MASK", + "link": 39 + } + ], + "outputs": [ + { + "localized_name": "LATENT", + "name": "LATENT", + "type": "LATENT", + "links": [ + 14 + ] + } + ], + "title": "Paint only the noise mask", + "properties": { + "Node name for S&R": "SetLatentNoiseMask", + "cnr_id": "comfy-core", + "ver": "0.37.0" + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 11, + "type": "KSampler", + "pos": [ + 1100, + 546 + ], + "size": [ + 460, + 262 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [ + { + "localized_name": "model", + "name": "model", + "type": "MODEL", + "link": 11 + }, + { + "localized_name": "positive", + "name": "positive", + "type": "CONDITIONING", + "link": 12 + }, + { + "localized_name": "negative", + "name": "negative", + "type": "CONDITIONING", + "link": 13 + }, + { + "localized_name": "latent_image", + "name": "latent_image", + "type": "LATENT", + "link": 14 + }, + { + "localized_name": "seed", + "name": "seed", + "type": "INT", + "widget": { + "name": "seed" + }, + "link": 62 + } + ], + "outputs": [ + { + "localized_name": "LATENT", + "name": "LATENT", + "type": "LATENT", + "links": [ + 16 + ] + } + ], + "title": "Krea 2 Turbo sampler", + "properties": { + "Node name for S&R": "KSampler", + "cnr_id": "comfy-core", + "ver": "0.37.0" + }, + "widgets_values": [ + 20260903, + "fixed", + 8, + 1, + "er_sde", + "simple", + 1 + ], + "widgets_values_named": { + "seed": 20260903, + "control_after_generate": "fixed", + "steps": 8, + "cfg": 1, + "sampler_name": "er_sde", + "scheduler": "simple", + "denoise": 1 + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 12, + "type": "VAEDecode", + "pos": [ + 1640, + 238 + ], + "size": [ + 460, + 46 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [ + { + "localized_name": "samples", + "name": "samples", + "type": "LATENT", + "link": 16 + }, + { + "localized_name": "vae", + "name": "vae", + "type": "VAE", + "link": 17 + } + ], + "outputs": [ + { + "localized_name": "IMAGE", + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 19 + ] + } + ], + "title": "Decode", + "properties": { + "Node name for S&R": "VAEDecode", + "cnr_id": "comfy-core", + "ver": "0.37.0" + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 13, + "type": "AUSBOSS_NODES_StitchInpaint", + "pos": [ + 1640, + 354 + ], + "size": [ + 460, + 145 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [ + { + "localized_name": "stitcher", + "name": "stitcher", + "type": "AUSBOSS_STITCHER", + "link": 41 + }, + { + "localized_name": "inpainted", + "name": "inpainted", + "type": "IMAGE", + "link": 19 + } + ], + "outputs": [ + { + "localized_name": "image", + "name": "image", + "type": "IMAGE", + "links": [ + 63 + ] + }, + { + "localized_name": "blend_mask", + "name": "blend_mask", + "type": "MASK", + "links": [] + } + ], + "title": "Stitch Inpaint - Put the new part back", + "properties": { + "Node name for S&R": "AUSBOSS_NODES_StitchInpaint", + "cnr_id": "ausboss-nodes", + "ver": "2.3.0" + }, + "widgets_values": [ + false, + 0.5, + "classic" + ], + "widgets_values_named": { + "fix_edge_halo": false, + "color_match": 0.5, + "seam": "classic" + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 41, + "type": "MarkdownNote", + 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Keep thinking on, or it can return nothing." + ], + "widgets_values_named": { + "text": "The text encoder reads the gray-filled crop and writes a prompt for the finished picture, request included. Keep thinking on, or it can return nothing." + }, + "color": "#1f2c38", + "bgcolor": "#2a3b4a" + }, + { + "id": 36, + "type": "Reroute", + "pos": [ + 20, + 208 + ], + "size": [ + 75, + 26 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [ + { + "name": "", + "type": "*", + "link": 27 + } + ], + "outputs": [ + { + "name": "", + "type": "STRING", + "links": [ + 61 + ] + } + ], + "properties": { + "showOutputText": false, + "horizontal": false + } + }, + { + "id": 42, + "type": "MarkdownNote", + "pos": [ + 560, + 80 + ], + "size": [ + 460, + 88 + ], + "flags": {}, + "order": 1, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note", + "properties": {}, + "widgets_values": [ + "The gray-filled crop is the reference. The noise mask is the grown painted area, widened by 24 px. 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The new part goes back into your picture with a light tone match." + }, + "color": "#1f2c38", + "bgcolor": "#2a3b4a" + } + ], + "groups": [ + { + "id": 94, + "title": "1 · Write the prompt", + "bounding": [ + 0, + 0, + 500, + 1088 + ], + "color": "#1d5560", + "flags": {} + }, + { + "id": 95, + "title": "2 · Set up the painting", + "bounding": [ + 540, + 0, + 500, + 802 + ], + "color": "#1d5560", + "flags": {} + }, + { + "id": 96, + "title": "3 · Paint", + "bounding": [ + 1080, + 0, + 500, + 828 + ], + "color": "#1d5560", + "flags": {} + }, + { + "id": 97, + "title": "4 · Put it back", + "bounding": [ + 1620, + 0, + 500, + 529 + ], + "color": "#1d5560", + "flags": {} + } + ], + "links": [ + { + "id": 9, + "origin_id": 8, + "origin_slot": 0, + "target_id": 9, + "target_slot": 0, + "type": "LATENT" + }, + { + "id": 11, + "origin_id": 7, + "origin_slot": 0, + "target_id": 11, + "target_slot": 0, + "type": "MODEL" + }, + { + "id": 12, + "origin_id": 6, + "origin_slot": 0, + "target_id": 11, 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+ "inputs": [ + { + "localized_name": "clip", + "name": "clip", + "type": "CLIP", + "link": 3 + }, + { + "localized_name": "text", + "name": "text", + "type": "STRING", + "widget": { + "name": "text" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "CONDITIONING", + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 6 + ] + } + ], + "title": "\u274c NEGATIVE", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "CLIPTextEncode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "blurry, low quality, watermark, text overlay, logo, ugly, deformed, noise, grain, oversaturated, flat lighting, duplicate, bad anatomy, extra limbs, malformed hands" + ] + }, + { + "id": 4, + "type": "CLIPTextEncode", + "pos": [ + -617.5908484605711, + 193.43177666615543 + ], + "size": [ + 288.9537109375, + 88 + ], + "flags": {}, + "order": 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"widget": { + "name": "string_a" + }, + "link": 122 + }, + { + "localized_name": "string_b", + "name": "string_b", + "type": "STRING", + "widget": { + "name": "string_b" + }, + "link": 123 + }, + { + "localized_name": "delimiter", + "name": "delimiter", + "type": "STRING", + "widget": { + "name": "delimiter" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "STRING", + "name": "STRING", + "type": "STRING", + "slot_index": 0, + "links": [ + 124 + ] + } + ], + "title": "\ud83d\udd17 Combine SUBJECT + POSE \u2192 prompt_text", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.30.1", + "Node name for S&R": "StringConcatenate", + "ue_properties": { + "widget_ue_connectable": { + "string_a": true, + "string_b": true, + "delimiter": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "", + "", + ", " + ] + }, + { + "id": 10, + "type": "AILab_QwenVL_PromptEnhancer", + "pos": [ + -1429.5546066236714, + 874.8266030189061 + ], + 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"enhancement_style", + "name": "enhancement_style", + "type": "COMBO", + "widget": { + "name": "enhancement_style" + }, + "link": null + }, + { + "localized_name": "custom_system_prompt", + "name": "custom_system_prompt", + "type": "STRING", + "widget": { + "name": "custom_system_prompt" + }, + "link": null + }, + { + "localized_name": "max_tokens", + "name": "max_tokens", + "type": "INT", + "widget": { + "name": "max_tokens" + }, + "link": null + }, + { + "localized_name": "temperature", + "name": "temperature", + "type": "FLOAT", + "widget": { + "name": "temperature" + }, + "link": null + }, + { + "localized_name": "top_p", + "name": "top_p", + "type": "FLOAT", + "widget": { + "name": "top_p" + }, + "link": null + }, + { + "localized_name": "repetition_penalty", + "name": "repetition_penalty", + "type": "FLOAT", + "widget": { + "name": "repetition_penalty" + }, + "link": null + }, + { + "localized_name": "keep_model_loaded", + "name": "keep_model_loaded", + "type": "BOOLEAN", + "widget": { + "name": "keep_model_loaded" + }, + "link": null + }, + { + "localized_name": "seed", + "name": "seed", + "type": "INT", + "widget": { + "name": "seed" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "ENHANCED_OUTPUT", + "name": "ENHANCED_OUTPUT", + "type": "STRING", + "slot_index": 0, + "links": [ + 304 + ] + } + ], + "title": "\u270d\ufe0f QwenVL Prompt Enhancer \u2190 type subject in [prompt_text]", + "properties": { + "cnr_id": "ComfyUI-QwenVL", + "ver": "fcd1ada87a28f922cb887f779db32429f78a022c", + "Node name for S&R": "AILab_QwenVL_PromptEnhancer", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Qwen3-VL-2B-Instruct", + "None (FP16)", + "auto", + false, + "auto", + "Editorial photograph of a woman dancing outdoors at golden hour, flowing silk dress catching the wind, medium shot, full-coverage tasteful wardrobe, natural relaxed expression, warm window light, film grain, fully clothed.", + "\ud83d\udcdd Detailed Visual", + "You are a prompt engineer for Krea2 (Qwen-Image) generating editorial lifestyle/fashion photography prompts for a Civitai SFW showcase. Realism is the #1 priority - the output image must read as a REAL PHOTOGRAPH, never a glossy render or CGI.\n\nInput: a short scene description (outfit, pose, location, gaze).\nOutput: ONE natural-language paragraph, 3-4 sentences (~90 words), written like a real photo shoot.\n\nREQUIRED:\n- Subject + full-coverage tasteful wardrobe (editorial lifestyle/fashion styling) + natural, relaxed, anatomically-correct pose + the location. Keep the mood warm, natural, and tasteful - never provocative or suggestive.\n- Real camera + lens + aperture, e.g. \"shot on Sony A7IV, 85mm f/1.4\" or \"Canon EOS R5, 50mm f/1.8\"; shallow depth of field, soft background bokeh.\n- Real light: window light / soft golden-hour / overcast daylight / on-camera flash - soft and directional (NOT \"dramatic\").\n- Skin realism: visible pores and fine skin texture, natural imperfections, matte (not glossy) skin, unretouched, subtle film grain, warm Kodak Portra color.\n- A touch of candid imperfection: slightly off-guard expression, natural asymmetry, real-photo feel.\n- The output prompt MUST end with the exact phrase \"fully clothed\".\n\nBANNED CONTENT: Avoid marketing buzzwords (8k, 4k, masterpiece, best quality, cinematic, professional photography), fantasy/render terms (ultra-detailed, hyperdetailed, glossy, dewy, luminous, glowing, radiant, flawless, porcelain, doll-like, artstation, CGI), color cliches (teal-orange, award-winning), and anything sexualized or suggestive.\n\nNo names, no IP. Output ONLY the prompt paragraph - no quotes, no preamble, no commentary.", + 200, + 0.7, + 0.9, + 1.1, + false, + 3714272027, + "randomize" + ], + "color": "#374445", + "bgcolor": "#474539" + }, + { + "id": 58, + "type": "Text Multiline", + "pos": [ + 8320, + 545 + ], + "size": [ + 560, + 240 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [ + { + "localized_name": "text", + "name": "text", + "type": "STRING", + "widget": { + "name": "text" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "STRING", + "name": "STRING", + "type": "STRING", + "slot_index": 0, + "links": [ + 122 + ] + } + ], + "title": "\u270d\ufe0f SUBJECT", + "properties": { + "cnr_id": "was-ns", + "ver": "afeee09ba44e713ec52a413ac6b105fd06b2d356", + "Node name for S&R": "Text Multiline", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "a horse galloping along a beach shoreline at golden hour, no human figures, no rider, animal only" + ] + }, + { + "id": 61, + "type": "Note", + "pos": [ + 8900, + 545 + ], + "size": [ + 500, + 150 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "\ud83d\udccb SUBJECT \u2014 examples (copy one into box above)", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\u2022 petite young Thai woman, tailored linen blazer, city rooftop light\n\u2022 curvy mature Latina woman, silk wrap dress, warm indoor light\n\u2022 athletic Korean woman, oversized knit sweater and jeans, studio light\n\u2022 tall Scandinavian blonde, structured wool coat, overcast daylight\n\u2022 curvy Black woman, fitted turtleneck and trousers, golden-hour light\n\u2022 petite Japanese woman, traditional kimono fully closed, garden light\n\u2022 mixed-race woman, denim jacket over white tee, natural window light\n\u2022 mature woman, tailored blazer and trousers, office daylight" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 62, + "type": "Note", + "pos": [ + 8900, + 805 + ], + "size": [ + 500, + 150 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "\ud83d\udccb POSE / ACTION \u2014 examples (copy one into box above)", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\u2022 relaxed standing pose, natural expression, hands in pockets\n\u2022 leaning against window, soft gaze at camera\n\u2022 sitting cross-legged on a chair, playful smile\n\u2022 stretching arms overhead outdoors, candid moment\n\u2022 standing in doorway, hand on frame, confident stance\n\u2022 walking toward camera, candid mid-step, city street\n\u2022 seated at a caf\u00e9 table, chin resting on hand, thoughtful look\n\u2022 turning over shoulder mid-walk, wind in hair, outdoor light" + ], + 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"flags": {}, + "order": 11, + "mode": 0, + "inputs": [ + { + "localized_name": "unet_name", + "name": "unet_name", + "type": "COMBO", + "widget": { + "name": "unet_name" + }, + "link": null + }, + { + "localized_name": "weight_dtype", + "name": "weight_dtype", + "type": "COMBO", + "widget": { + "name": "weight_dtype" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "MODEL", + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 305 + ] + } + ], + "title": "\ud83e\udde0 LTX-2.5 UNet DiT (22b distilled int8)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.30.0", + "Node name for S&R": "UNETLoader", + "ue_properties": { + "widget_ue_connectable": { + "unet_name": true, + "weight_dtype": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors", + "default" + ] + }, + { + "id": 102, + "type": "CLIPLoader", + "pos": [ + 7200, + 600 + ], + 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"ue_properties": { + "widget_ue_connectable": { + "clip_name": true, + "type": true, + "device": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "gemma4_e2b_it_bf16.safetensors", + "clip", + "default" + ] + }, + { + "id": 104, + "type": "VAELoader", + "pos": [ + 7200, + 750 + ], + "size": [ + 640, + 70 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [ + { + "localized_name": "vae_name", + "name": "vae_name", + "type": "COMBO", + "widget": { + "name": "vae_name" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "VAE", + "name": "VAE", + "type": "VAE", + "slot_index": 0, + "links": [ + 259, + 275, + 276, + 291 + ] + } + ], + "title": "\ud83c\udfac LTX-2.5 VAE Video (diffusion decoder)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.30.0", + "Node name for S&R": "VAELoader", + "ue_properties": { + "widget_ue_connectable": { + "vae_name": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + 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A gentle breeze moves loose hair and fabric, the subject slowly turns their head toward the camera and a faint smile forms, then holds still. Static camera. 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ToU cascades downstream to users of this WF.\n ai.google.dev/gemma/terms\n\nQwen3-VL (ComfyUI-QwenVL): Apache-2.0\n\nWorkflow: CC0 \u2014 free to use, share, modify\n\nNote: upscaler (ltx-2.3) is pre-trained, no LoRA" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 121, + "type": "Note", + "pos": [ + 6530, + 1000 + ], + "size": [ + 440, + 380 + ], + "flags": {}, + "order": 19, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "\ud83d\udce6 Model Downloads", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\ud83d\udce6 MODEL DOWNLOADS (HuggingFace, all gated)\n\n\u25b8 LTX-2.5 DiT (distilled, int8_convrot, ~11GB)\n models/diffusion_models/\n ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors\n\n\u25b8 LTX-2.5 Text Encoder (main, int8)\n models/text_encoders/\n gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors\n\n\u25b8 LTX-2.5 Text Enhancer (optional, Gemma 4)\n models/text_encoders/\n gemma4_e2b_it_bf16.safetensors\n\n\u25b8 LTX-2.5 Video VAE (bf16, diffusion decoder)\n models/vae/ltx-2.5-video-vae-bf16.safetensors\n\n\u25b8 LTX-2.5 Audio VAE (bf16)\n models/vae/ltx-2.5-audio-vae-bf16.safetensors\n\n\u25b8 LTX-2.3 Spatial Upscaler (2x, for stage2)\n models/latent_upscale_models/\n ltx-2.3-spatial-upscaler-x2-1.1.safetensors" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 122, + "type": "Note", + "pos": [ + 7460, + 110 + ], + "size": [ + 420, + 320 + ], + "flags": {}, + "order": 20, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "\ud83d\ude80 Quick Start", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\ud83d\ude80 QUICK START\n\n1. Install custom nodes (see Custom Nodes note)\n2. Download all models from HuggingFace links (6 files, gated)\n3. Verify model paths match widget defaults (no absolute paths)\n4. Type SUBJECT + POSE text in the green RUN group (see examples notes next to each box)\n5. Adjust orientation in the green RUN group (Latent Switch: 0 = landscape, 1 = portrait)\n6. Click Queue\n\nRequires ComfyUI >= 0.30\n\nFrame count: 121f = 5.0s @ 24fps (N\u00d78+1 pattern)\nAlternates: 169f = 7.0s, 241f = 10.0s" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 123, + "type": "Note", + "pos": [ + 7450, + 1000 + ], + "size": [ + 420, + 220 + ], + "flags": {}, + "order": 21, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "\ud83d\udda5\ufe0f Hardware", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\ud83d\udda5\ufe0f HARDWARE\n\nMinimum: 16GB VRAM (with model offload)\nRecommended: 24GB+ VRAM for >169 frames\nAudio VAE concurrency: sequential (no co-resident audio+video decode)\nVRAM bridge: soft flushes between stage1\u2192stage2" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 125, + "type": "Note", + "pos": [ + 7000, + 1000 + ], + "size": [ + 420, + 220 + ], + "flags": {}, + "order": 22, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "\ud83e\udde9 Custom Nodes Required", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\ud83e\udde9 CUSTOM NODES REQUIRED\n\n- ComfyUI-QwenVL (AILab / 1038lab)\n- ComfyUI_Image_Anything (Kelin)\n git clone https://github.com/ComfyUI-Kelin/ComfyUI_Image_Anything\n- ComfyUI-Easy-Use\n- WAS Node Suite (was-ns)" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 126, + "type": "Note", + "pos": [ + 7000, + 1780 + ], + "size": [ + 420, + 340 + ], + "flags": {}, + "order": 23, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "\ud83d\udd0a Audio", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\ud83d\udd0a AUDIO\n\nVideo is generated with native stereo audio from the LTX-2.5\njoint latent space.\n\nTo mute: disconnect the audio wire from CreateVideo before queueing.\n\nAudio VAE is separate from video VAE.\n\nWARNING: audio length is NOT automatic.\nEmpty LTXV Latent Audio -> frames_number is a separate widget from the video\nlength. Change one without the other and the audio simply stops early, silently." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 127, + "type": "Note", + "pos": [ + 7450, + 1780 + ], + "size": [ + 440, + 260 + ], + "flags": {}, + "order": 24, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "\ud83d\udcca Two-Stage Architecture", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\ud83d\udcca TWO-STAGE DIFFUSION (distilled LTX-2.5)\n\n**Stage 1: Fast generation**\n- 8-step diffusion (distilled model)\n- 960\u00d7544 landscape / 544\u00d7960 portrait\n- Produces video_latent + audio_latent\n\n**Stage 2: Upscale + refine**\n- 2x spatial upscaler (1920\u00d71088 out)\n- 3-step re-diffusion (refinement)\n- Image conditioning re-applied\n- Final decode via video VAE + audio VAE" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 128, + "type": "easy anythingIndexSwitch", + "pos": [ + 9000, + 296 + ], + "size": [ + 296.1724609375, + 98 + ], + "flags": {}, + "order": 60, + "mode": 0, + "inputs": [ + { + "localized_name": "value0", + "name": "value0", + "shape": 7, + "type": "*", + "link": 222 + }, + { + "localized_name": "value1", + "name": "value1", + "shape": 7, + "type": "*", + "link": 223 + }, + { + "localized_name": "index", + "name": "index", + "type": "INT", + "widget": { + "name": "index" + }, + "link": 299 + }, + { + "name": "value2", + "type": "*", + "link": null + } + ], + "outputs": [ + { + "localized_name": "value", + "name": "value", + "type": "*", + "slot_index": 0, + "links": [ + 252, + 255 + ] + } + ], + "title": "\ud83d\udcd0 Orientation Auto-Switch (port/land)", + "properties": { + "aux_id": "vjumpkung/ComfyUI-Easy-Use", + "ver": "e5ef628cd205cc7d6697f38d50ba909e784bd5eb", + "Node name for S&R": "easy anythingIndexSwitch", + "ue_properties": { + "widget_ue_connectable": { + "index": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 0 + ] + }, + { + "id": 129, + "type": "PrimitiveInt", + "pos": [ + 8400, + 296 + ], + "size": [ + 270, + 82 + ], + "flags": {}, + "order": 25, + "mode": 0, + "inputs": [ + { + "localized_name": "value", + "name": "value", + "type": "INT", + "widget": { + "name": "value" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "INT", + "name": "INT", + "type": "INT", + "links": [ + 297 + ] + } + ], + "title": "On True = 1 (Portrait)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.30.1", + "Node name for S&R": "PrimitiveInt", + "ue_properties": { + "widget_ue_connectable": { + "value": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 1, + "fixed" + ] + }, + { + "id": 130, + "type": "PrimitiveInt", + "pos": [ + 8700, + 296 + ], + "size": [ + 270, + 82 + ], + "flags": {}, + "order": 26, + "mode": 0, + "inputs": [ + { + "localized_name": "value", + "name": "value", + "type": "INT", + "widget": { + "name": "value" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "INT", + "name": "INT", + "type": "INT", + "links": [ + 298 + ] + } + ], + "title": "On False = 0 (Landscape)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.30.1", + "Node name for S&R": "PrimitiveInt", + "ue_properties": { + "widget_ue_connectable": { + "value": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 0, + "fixed" + ] + }, + { + "id": 131, + "type": "easy ifElse", + "pos": [ + 9835.5416015625, + 108 + ], + "size": [ + 371.2583984375, + 158 + ], + "flags": {}, + "order": 56, + "mode": 0, + "inputs": [ + { + "localized_name": "on_true", + "name": "on_true", + "type": "*", + "link": 297 + }, + { + "localized_name": "on_false", + "name": "on_false", + "type": "*", + "link": 298 + }, + { + "localized_name": "boolean", + "name": "boolean", + "type": "BOOLEAN", + "widget": { + "name": "boolean" + }, + "link": 226 + } + ], + "outputs": [ + { + "localized_name": "*", + "name": "*", + "type": "*", + "slot_index": 0, + "links": [ + 299 + ] + } + ], + "title": "\ud83e\udd16 Orientation Auto-Detect (height > width ? 1 : 0)", + "properties": { + "aux_id": "vjumpkung/ComfyUI-Easy-Use", + "ver": "e5ef628cd205cc7d6697f38d50ba909e784bd5eb", + "Node name for S&R": "easy ifElse", + "ue_properties": { + "widget_ue_connectable": { + "boolean": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + false + ] + }, + { + "id": 132, + "type": "MarkdownNote", + "pos": [ + 6530, + 110 + ], + "size": [ + 900, + 380 + ], + "flags": {}, + "order": 27, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "\ud83d\udcd6 Quick Guide", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Krea2 \u2192 LTX-2.5 Motion Suite \u2014 Quick Guide\n\n**First time setup:**\n1. Blue \ud83e\udde0 SETUP group \u2014 verify all loaders (Krea2 + LTX-2.5) point to valid downloaded files (one-time check)\n2. Green \ud83c\udf9b\ufe0f RUN group \u2014 type your subject + pose/action in the two text boxes (see the examples notes next to them for ideas)\n3. Green \ud83c\udf9b\ufe0f RUN group \u2014 set the Latent Switch for orientation (0 = landscape, 1 = portrait) \u2014 one knob drives both the image and the video\n4. Click Queue\n\n**What happens:** the maroon PIPELINE boxes run hands-off, left to right \u2014 Krea2 generates a still image from your subject+pose text, then the funnel auto-feeds that image straight into LTX-2.5, which auto-captions the motion (or use your own text via the green Manual Motion Text box) and renders a video with native synced audio in one pass. No manual image handoff needed.\n\n**Common edits:** Subject/Pose text (green RUN) | Orientation (green RUN, Latent Switch) | Manual motion text (green RUN, only used if the Motion Switch inside the maroon pipeline is flipped to Manual) | Seeds (inside the maroon pipeline \u2014 one for the Krea2 sampler, two more for the LTX-2.5 two-stage sampler)\n\n**Notes:** SFW-only funnel, no image-upload branch. Two-stage LTX-2.5 diffusion (8+3 steps) | 121 frames = 5.0s @ 24fps default | Audio is native and joint with video, no separate audio model\n\n**VRAM management:** two GPU-clean bridges (after Krea2 sampling, and before LTX-2.5 stage1) + soft flush between LTX-2.5 stage1\u2192stage2 \u2014 restart ComfyUI before your first run of the full funnel if you've been running other workflows\n\n**Layout key:** purple = read | blue = one-time setup | green = touch every run | maroon = pipeline internals (no edits needed)" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 209, + "type": "GetImageSize", + "pos": [ + 9326.1724609375, + 296 + ], + "size": [ + 356.554296875, + 124 + ], + "flags": {}, + "order": 62, + "mode": 0, + "inputs": [ + { + "localized_name": "image", + "name": "image", + "type": "IMAGE", + "link": 252 + } + ], + "outputs": [ + { + "localized_name": "width", + "name": "width", + "type": "INT", + "slot_index": 0, + "links": [ + 256 + ] + }, + { + "localized_name": "height", + "name": "height", + "type": "INT", + "slot_index": 1, + "links": [ + 257 + ] + }, + { + "localized_name": "batch_size", + "name": "batch_size", + "type": "INT", + "links": null + } + ], + "title": "Get Image Size (post-switch, drives latent dims)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.30.0", + "Node name for S&R": "GetImageSize", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 210, + "type": "LTXVConditioning", + "pos": [ + 11487.8306640625, + 540 + ], + "size": [ + 418.20078125, + 100 + ], + "flags": {}, + "order": 61, + "mode": 0, + "inputs": [ + { + "localized_name": "positive", + "name": "positive", + "type": "CONDITIONING", + "link": 253 + }, + { + "localized_name": "negative", + "name": "negative", + "type": "CONDITIONING", + "link": 254 + }, + { + "localized_name": "frame_rate", + "name": "frame_rate", + "type": "FLOAT", + "widget": { + "name": "frame_rate" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "positive", + "name": "positive", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 265, + 282 + ] + }, + { + "localized_name": "negative", + "name": "negative", + "type": "CONDITIONING", + "slot_index": 1, + "links": [ + 266, + 283 + ] + } + ], + "title": "LTXV Conditioning (embeds frame_rate=24 into pos/neg)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.28", + "Node name for S&R": "LTXVConditioning", + "ue_properties": { + "widget_ue_connectable": { + "frame_rate": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 24 + ] + }, + { + "id": 211, + "type": "LTXVPreprocess", + "pos": [ + 9712.7267578125, + 296 + ], + "size": [ + 270, + 74 + ], + "flags": {}, + "order": 63, + "mode": 0, + "inputs": [ + { + "localized_name": "image", + "name": "image", + "type": "IMAGE", + "link": 255 + }, + { + "localized_name": "img_compression", + "name": "img_compression", + "type": "INT", + "widget": { + "name": "img_compression" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "output_image", + "name": "output_image", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 260, + 277 + ] + } + ], + "title": "LTXV Preprocess (stage1)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.60", + "Node name for S&R": "LTXVPreprocess", + "ue_properties": { + "widget_ue_connectable": { + "img_compression": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 18 + ] + }, + { + "id": 214, + "type": "LTXVImgToVideoInplace", + "pos": [ + 11243, + 770 + ], + "size": [ + 366.7740234375, + 142 + ], + "flags": {}, + "order": 67, + "mode": 0, + "inputs": [ + { + "localized_name": "vae", + "name": "vae", + "type": "VAE", + "link": 259 + }, + { + "localized_name": "image", + "name": "image", + "type": "IMAGE", + "link": 260 + }, + { + "localized_name": "latent", + "name": "latent", + "type": "LATENT", + "link": 261 + }, + { + "localized_name": "strength", + "name": "strength", + "type": "FLOAT", + "widget": { + "name": "strength" + }, + "link": null + }, + { + "localized_name": "bypass", + "name": "bypass", + "type": "BOOLEAN", + "widget": { + "name": "bypass" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "latent", + "name": "latent", + "type": "LATENT", + "slot_index": 0, + "links": [ + 262 + ] + } + ], + "title": "LTXV Img-to-Video Inplace (stage1, strength=0.7)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.0", + "Node name for S&R": "LTXVImgToVideoInplace", + "ue_properties": { + "widget_ue_connectable": { + "strength": true, + "bypass": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 0.7, + false + ] + }, + { + "id": 215, + "type": "LTXVConcatAVLatent", + "pos": [ + 11639.7740234375, + 770 + ], + "size": [ + 217.1353515625, + 46 + ], + "flags": {}, + "order": 68, + "mode": 0, + "inputs": [ + { + "localized_name": "video_latent", + "name": "video_latent", + "type": "LATENT", + "link": 262 + }, + { + "localized_name": "audio_latent", + "name": "audio_latent", + "type": "LATENT", + "link": 263 + } + ], + "outputs": [ + { + "localized_name": "latent", + "name": "latent", + "type": "LATENT", + "slot_index": 0, + "links": [ + 271 + ] + } + ], + "title": "Concat A/V Latent (stage1)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.10.0", + "Node name for S&R": "LTXVConcatAVLatent", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + } + }, + { + "id": 216, + "type": "RandomNoise", + "pos": [ + 10600, + 942 + ], + "size": [ + 280, + 82 + ], + "flags": {}, + "order": 28, + "mode": 0, + "inputs": [ + { + "localized_name": "noise_seed", + "name": "noise_seed", + "type": "INT", + "widget": { + "name": "noise_seed" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "NOISE", + "name": "NOISE", + "type": "NOISE", + "slot_index": 0, + "links": [ + 267 + ] + } + ], + "title": "Random Noise (stage1)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.14.1", + "Node name for S&R": "RandomNoise", + "ue_properties": { + "widget_ue_connectable": { + "noise_seed": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 200024, + "fixed" + ] + }, + { + "id": 217, + "type": "CFGGuider", + "pos": [ + 10910, + 942 + ], + "size": [ + 280, + 114 + ], + "flags": {}, + "order": 64, + "mode": 0, + "inputs": [ + { + "localized_name": "model", + "name": "model", + "type": "MODEL", + "link": 264 + }, + { + "localized_name": "positive", + "name": "positive", + "type": "CONDITIONING", + "link": 265 + }, + { + "localized_name": "negative", + "name": "negative", + "type": "CONDITIONING", + "link": 266 + }, + { + "localized_name": "cfg", + "name": "cfg", + "type": "FLOAT", + "widget": { + "name": "cfg" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "GUIDER", + "name": "GUIDER", + "type": "GUIDER", + "slot_index": 0, + "links": [ + 268 + ] + } + ], + "title": "CFG Guider (stage1, cfg=1)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.14.1", + "Node name for S&R": "CFGGuider", + "ue_properties": { + "widget_ue_connectable": { + "cfg": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 1 + ] + }, + { + "id": 218, + "type": "KSamplerSelect", + "pos": [ + 11220, + 942 + ], + "size": [ + 280, + 74 + ], + "flags": {}, + "order": 29, + "mode": 0, + "inputs": [ + { + "localized_name": "sampler_name", + "name": "sampler_name", + "type": "COMBO", + "widget": { + "name": "sampler_name" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "SAMPLER", + "name": "SAMPLER", + "type": "SAMPLER", + "slot_index": 0, + "links": [ + 269 + ] + } + ], + "title": "Sampler Select (stage1)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.14.1", + "Node name 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Gemma's ToU cascades downstream to\n anyone using this workflow.\n ai.google.dev/gemma/terms\n\nQwenVL Prompt Enhancer + Motion Caption (ComfyUI-QwenVL, 1038lab): Apache-2.0\n\nWorkflow JSON: CC0 \u2014 free to use, share, modify, no attribution required.\n\nScope: this funnel is SFW-only (text prompt -> image -> video with native audio,\nno image-upload branch)." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 235, + "type": "LTXVContextWindows", + "pos": [ + 9700, + 1380 + ], + "size": [ + 400, + 262 + ], + "flags": {}, + "order": 40, + "mode": 0, + "inputs": [ + { + "localized_name": "model", + "name": "model", + "type": "MODEL", + "link": 305 + }, + { + "localized_name": "context_length", + "name": "context_length", + "type": "INT", + "widget": { + "name": "context_length" + }, + "link": null + }, + { + "localized_name": "context_overlap", + "name": "context_overlap", + "type": "INT", + "widget": { + "name": "context_overlap" + }, + "link": null + }, + { + "localized_name": "context_schedule", + "name": "context_schedule", + "type": "COMBO", + "widget": { + "name": "context_schedule" + }, + "link": null + }, + { + "localized_name": "context_stride", + "name": "context_stride", + "type": "INT", + "widget": { + "name": "context_stride" + }, + "link": null + }, + { + "localized_name": "closed_loop", + "name": "closed_loop", + "type": "BOOLEAN", + "widget": { + "name": "closed_loop" + }, + "link": null + }, + { + "localized_name": "fuse_method", + "name": "fuse_method", + "type": "COMBO", + "widget": { + "name": "fuse_method" + }, + "link": null + }, + { + "localized_name": "freenoise", + "name": "freenoise", + "type": "BOOLEAN", + "widget": { + "name": "freenoise" + }, + "link": null + }, + { + "localized_name": "retain_first_frame", + "name": "retain_first_frame", + "type": "BOOLEAN", + "widget": { + "name": "retain_first_frame" + }, + "link": null + }, + { + "localized_name": "split_conds_to_windows", + "name": "split_conds_to_windows", + "type": "BOOLEAN", + "widget": { + "name": "split_conds_to_windows" + }, + "link": null + } + ], + "outputs": [ + { + "localized_name": "MODEL", + "name": "MODEL", + "type": "MODEL", + "links": [ + 264, + 281 + ] + } + ], + "title": "\ud83e\ude9f Context Windows (long-clip drift fix)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.33.1", + "Node name for S&R": "LTXVContextWindows", + "ue_properties": { + "widget_ue_connectable": { + "context_length": true, + "context_overlap": true, + "context_schedule": true, + "context_stride": true, + "closed_loop": true, + "fuse_method": true, + "freenoise": true, + "retain_first_frame": true, + "split_conds_to_windows": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 241, + 40, + "standard_uniform", + 1, + false, + "pyramid", + true, + true, + false + ] + }, + { + "id": 236, + "type": "Note", + "pos": [ + 9700, + 1660 + ], + "size": [ + 540, + 1180 + ], + "flags": {}, + "order": 35, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "\ud83c\udf9e\ufe0f Frame Table (LTX N\u00d78+1)", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\ud83c\udf9e\ufe0f FRAME TABLE & TIMING (LTX-2.5 = N\u00d78+1, @24fps)\n\n frames | seconds | status\n 121 | 5.04 | short test\n 241 | 10.04 | THIS FILE'S DEFAULT\n 361 | 15.04 | verified\n 385 | 16.04 | verified\n 481 | 20.04 | verified\n 577 | 24.04 | untested\n 721 | 30.04 | untested\n\nMEASURED ON THIS FUNNEL -- 241 frames, 2026-08-17\nRTX 5080 16GB, Krea2 T2I -> LTX-2.5 stage-1 at 960x544 -> 2x upscale -> stage-2.\nGen time: 9.6 min (577s). 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used:\nlustify-v10-krea-turbo-int8_convrot.safetensors https://civitai.red/models/573152/lustify-nsfw-checkpoint\n\n\nGroup 2 Krea2Turbo + Knpv4.1\n\nAlso the stanard krea2_turbo_int8_convrot.safetensors model works for sfw stuff, and if u add in another lora node in the chain of: https://civitai.red/models/2725430/krea-2-nsfw-v4?modelVersionId=3085473 set to 1.0 strengh that also works well.\n\nUse the \"Fast Groups Muter (rgthree)\" node to turn on/off each group. Click on the yes/no for each group to toggle." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 16, + "type": "UNETLoader", + "pos": [ + 1591.2533647277419, + 372.1867492316889 + ], + "size": [ + 320, + 82 + ], + "flags": { + "pinned": true + }, + "order": 6, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 8 + ] + } + ], + "properties": { + "Node name for S&R": "UNETLoader", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "lustify-v10-krea-turbo-int8_convrot.safetensors", + "default" + ] + }, + { + "id": 17, + "type": "EmptyLatentImage", + "pos": [ + 2606.4748501592157, + 1649.302565867224 + ], + "size": [ + 320, + 170 + ], + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [ + { + "name": "width", + "type": "INT", + "widget": { + "name": "width" + }, + "link": 11 + }, + { + "name": "height", + "type": "INT", + "widget": { + "name": "height" + }, + "link": 12 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 16 + ] + } + ], + "properties": { + "Node name for S&R": "EmptyLatentImage", + "ue_properties": { + "widget_ue_connectable": { + "width": true, + "height": true + }, + "version": "7.8", + "input_ue_unconnectable": {} + }, + "cnr_id": "comfy-core", + "ver": "0.25.0" + }, + "widgets_values": [ + 1024, + 1024, + 1 + ] + }, + { + "id": 19, + "type": "KSampler", + "pos": [ + 3579.8879784072697, + 825.9216859921372 + ], + "size": [ + 320, + 262 + ], + "flags": {}, + "order": 20, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 13 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 14 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 15 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 16 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 2 + ] + } + ], + "properties": { + "Node name for S&R": "KSampler", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 80988443381566, + "randomize", + 8, + 1, + "euler", + "simple", + 1 + ] + }, + { + "id": 20, + "type": "Note", + "pos": [ + 1737.5446472669385, + 1592.6280868044655 + ], + "size": [ + 465.1217391304343, + 227.72153209109683 + ], + "flags": { + "pinned": true + }, + "order": 7, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note - Resolution and Aspect Ration", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Mess around with aspect ratio! and megapixels! has a big effect on quality!\n\nFor Megapixels:\nI like to do 4.0 or 5.0 once I know I like the generation/prompt. Try lowering to 1 or 2 when you are experimenting to speed it up. \n\nTry bigger aspect ratios once you like your prompt!" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 21, + "type": "ResolutionSelector", + "pos": [ + 2249.2092282183858, + 1620.4722670702415 + ], + "size": [ + 270, + 190 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "width", + "type": "INT", + "links": [ + 11 + ] + }, + { + "name": "height", + "type": "INT", + "links": [ + 12 + ] + } + ], + "properties": { + "Node name for S&R": "ResolutionSelector", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + }, + "cnr_id": "comfy-core", + "ver": "0.25.0" + }, + "widgets_values": [ + "1:1 (Square)", + 4, + 8 + ] + }, + { + "id": 14, + "type": "Note", + "pos": [ + 2274.1922289253444, + 921.3433502621614 + ], + "size": [ + 439.2506533782812, + 150.04001960054472 + ], + "flags": { + "pinned": true + }, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note - Use Descriptive Prompts", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "The identities bleeding is a problem with having 2 character loras in one image gen, BUT the problem is greatly reduced with specific prompting for each person. Describe exactly how each looks, what they are wearing, their gender, hair color,race etc. " + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 9, + "type": "LoraLoaderModelOnly", + "pos": [ + 2664.6011799260764, + 743.1529276215103 + ], + "size": [ + 320, + 82 + ], + "flags": {}, + "order": 18, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 7 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 5 + ] + } + ], + "title": "Load LoRA - Male Lora", + "properties": { + "Node name for S&R": "LoraLoaderModelOnly", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "pur your male character lora here.safetensors", + 1.3 + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 6, + "type": "LoraLoaderModelOnly", + "pos": [ + 3143.010492496367, + 761.834377923514 + ], + "size": [ + 320, + 82 + ], + "flags": {}, + "order": 19, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 5 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 13 + ] + } + ], + "title": "Load LoRA- Female Lora", + "properties": { + "Node name for S&R": "LoraLoaderModelOnly", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "pur your female character lora here.safetensors", + 1.3 + ], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 22, + "type": "Fast Groups Muter (rgthree)", + "pos": [ + 2118.887353207123, + 537.6771581158887 + ], + "size": [ + 636.6346975799328, + 85.44071146245057 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "properties": { + "matchColors": "", + "matchTitle": "", + "showNav": true, + "showAllGraphs": true, + "sort": "position", + "customSortAlphabet": "", + "toggleRestriction": "max one", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 26, + "type": "Note", + "pos": [ + 2214.0817108026695, + 213.1763852094292 + ], + "size": [ + 1248.6414331913106, + 88 + ], + "flags": { + "pinned": true + }, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Krea 2 Turbo Dual-Character Lora Workflow (Regional Prompting) - Generate 2 Characters in 1 Scene by anonameguyman1234252", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\nThere are probably other and maybe better ways to do this, but I've been surprised at the results I can get with this workflow. It's not perfect. There's some identity bleed, but if you follow the notes that can be reduced. This is still more fun than generating an image with a single character lora, then trying to come back and mask and regenerate with a second character lora. I've yet to find a great solution for doing that which isn't super manual and trial and error." + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 25, + "type": "Note", + "pos": [ + 3538.5995534031026, + -47.53782473940426 + ], + "size": [ + 683.5504124415229, + 144.74354785933605 + ], + "flags": { + "pinned": true + }, + "order": 12, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Need Help On Lora Training for Krea2 Turbo?", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "To train my loras I used https://www.youtube.com/watch?v=XyMuTsDsvEY this video. Follow the steps for a character lora on fal.ai, and use pixaroma's nodepack to convert the output to work with comfui." + ], + "color": "#432", + "bgcolor": "#653" + } + ], + "links": [ + [ + 1, + 2, + 0, + 1, + 0, + "IMAGE" + ], + [ + 2, + 19, + 0, + 2, + 0, + "LATENT" + ], + [ + 3, + 4, + 0, + 2, + 1, + "VAE" + ], + [ + 4, + 5, + 0, + 3, + 0, + "CLIP" + ], + [ + 5, + 9, + 0, + 6, + 0, + "MODEL" + ], + [ + 6, + 5, + 0, + 7, + 0, + "CLIP" + ], + [ + 7, + 10, + 0, + 9, + 0, + "MODEL" + ], + [ + 8, + 16, + 0, + 10, + 0, + "MODEL" + ], + [ + 9, + 12, + 0, + 10, + 1, + "MODEL" + ], + [ + 10, + 11, + 0, + 12, + 0, + "MODEL" + ], + [ + 11, + 21, + 0, + 17, + 0, + "INT" + ], + [ + 12, + 21, + 1, + 17, + 1, + "INT" + ], + [ + 13, + 6, + 0, + 19, + 0, + "MODEL" + ], + [ + 14, + 7, + 0, + 19, + 1, + "CONDITIONING" + ], + [ + 15, + 3, + 0, + 19, + 2, + "CONDITIONING" + ], + [ + 16, + 17, + 0, + 19, + 3, + "LATENT" + ] + ], + "groups": [ + { + "id": 1, + "title": "Lustify Group", + "bounding": [ 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master class in seduction and domination. Holding a coiled leather whipe in one hand.\n\nSoft dim lighting, rim-lighting accents, complex shadows adding depth, neon-lit sex dungeon background softly out of focus, full-frame camera, 35mm lens. \n\nNatural unretouched skin with visible pores, fine peach fuzz, natural skin tone variation and a light healthy glow, individual hair strands and flyaways. "],"widgets_values_named":{"text":"Photo of an Indian woman standing in a seductive pose, wearing designer lingerie, constructed panel corset top, thigh-high stockings and garters, high-heels.\n\nHer small breasts and well-defined small nipples are perky with arousal, her face a master class in seduction and domination. Holding a coiled leather whipe in one hand.\n\nSoft dim lighting, rim-lighting accents, complex shadows adding depth, neon-lit sex dungeon background softly out of focus, full-frame camera, 35mm lens. \n\nNatural unretouched skin with visible pores, fine peach fuzz, natural skin tone variation and a light healthy glow, individual hair strands and flyaways. "},"color":"#232","bgcolor":"#353"},{"id":984,"type":"CLIPTextEncode","pos":[-238.6345677080701,1147.9987497466345],"size":[404.1052649458454,136.3683933393936],"flags":{},"order":10,"mode":0,"inputs":[{"localized_name":"clip","name":"clip","type":"CLIP","link":109},{"localized_name":"text","name":"text","type":"STRING","widget":{"name":"text"},"link":null}],"outputs":[{"localized_name":"CONDITIONING","name":"CONDITIONING","type":"CONDITIONING","links":[111]}],"properties":{"cnr_id":"comfy-core","ver":"0.38.0","Node name for S&R":"CLIPTextEncode"},"widgets_values":["((3d)), bad quality, worst quality, worst detail, sketch, ((shiny skin)), flat color, ((back lighting)), ((six fingers:1.3)),\ncensor, bar censor, watermark, ((signature)), text, rolling eyes, \n((bed)), ((window)), depth of field, perspective,"],"widgets_values_named":{"text":"((3d)), bad quality, worst quality, worst detail, sketch, ((shiny skin)), flat color, ((back lighting)), ((six fingers:1.3)),\ncensor, bar censor, watermark, ((signature)), text, rolling eyes, \n((bed)), ((window)), depth of field, perspective,"},"color":"#322","bgcolor":"#533"},{"id":985,"type":"Note","pos":[-1402.6572845130506,722.8102147804841],"size":[542.5025676449499,456.6839483208796],"flags":{},"order":5,"mode":0,"inputs":[],"outputs":[],"properties":{},"widgets_values":["Prompt examples:\n\nBlowjob:\nPhoto of a white American woman with wild ginger hair and stark eyeliner is kneeling in front of a man, giving him a deepthroat blowjob.\n\nA man is standing in front of her, she is looking up at his face. She has one hand on the base of his cock. She has his thick erect penis deep inside her mouth (fellatio blowjob deep-throat). Cum is leaking out of her mouth to dribble down her chin and drip onto her small breasts. \n\nDim and soft accent lighting, complex shadows adding depth, cozy bedroom in the background softly out of focus, full-frame camera, 50mm lens. \n\nNatural unretouched skin with visible pores, fine peach fuzz, natural skin tone variation and a light healthy glow, individual hair strands and flyaways, camera angle is low and pointed up so we can see her tuft of pubic hair and her perky nipples. \n\n\n\nCumshot:\nPhoto of a African-American woman standing in a seductive pose, cum splattered over her face and body.\n\nHer small breasts and well-defined small nipples are perky with arousal, her thatch of pubic hair damp with the arousal and lust. Cum splatter on her face, breasts, tummy and crotch, cum dripping down her body, cum dripping out of her vagina.\n\nSoft dim lighting, rim-lighting accents, complex shadows adding depth, cozy bedroom in the background softly out of focus, full-frame camera, 35mm lens. \n\nNatural unretouched skin with visible pores, fine peach fuzz, natural skin tone variation and a light healthy glow, individual hair strands and flyaways, camera angle is low and pointed up so we can see her tuft of pubic hair and her perky nipples. "],"widgets_values_named":{"text":"Prompt examples:\n\nBlowjob:\nPhoto of a white American woman with wild ginger hair and stark eyeliner is kneeling in front of a man, giving him a deepthroat blowjob.\n\nA man is standing in front of her, she is looking up at his face. She has one hand on the base of his cock. She has his thick erect penis deep inside her mouth (fellatio blowjob deep-throat). Cum is leaking out of her mouth to dribble down her chin and drip onto her small breasts. \n\nDim and soft accent lighting, complex shadows adding depth, cozy bedroom in the background softly out of focus, full-frame camera, 50mm lens. \n\nNatural unretouched skin with visible pores, fine peach fuzz, natural skin tone variation and a light healthy glow, individual hair strands and flyaways, camera angle is low and pointed up so we can see her tuft of pubic hair and her perky nipples. \n\n\n\nCumshot:\nPhoto of a African-American woman standing in a seductive pose, cum splattered over her face and body.\n\nHer small breasts and well-defined small nipples are perky with arousal, her thatch of pubic hair damp with the arousal and lust. Cum splatter on her face, breasts, tummy and crotch, cum dripping down her body, cum dripping out of her vagina.\n\nSoft dim lighting, rim-lighting accents, complex shadows adding depth, cozy bedroom in the background softly out of focus, full-frame camera, 35mm lens. \n\nNatural unretouched skin with visible pores, fine peach fuzz, natural skin tone variation and a light healthy glow, individual hair strands and flyaways, camera angle is low and pointed up so we can see her tuft of pubic hair and her perky nipples. "},"color":"#432","bgcolor":"#653"},{"id":986,"type":"Note","pos":[-819.9125003031776,746.7797529113441],"size":[552.7657300095639,507.0667453835299],"flags":{},"order":6,"mode":0,"inputs":[],"outputs":[],"properties":{},"widgets_values":["Prompt examples:\n\nMissionary:\nPhoto of a Latina woman having hetero sex in the missionary position.\n\nShe is laying on her back on a bed, her back is slightly arched as her body quivers with a powerful orgasm, her legs bent and parted and partially raised, missionary sex position, a man (unseen) is on top of her and in between her legs, his thick erect penis buried in her vagina, cum leaking out of her pussy to coat his penis, her labia and clitoris and drip down her ass to her asshole.\n\nDim and soft accent lighting, complex shadows adding depth, cozy bedroom in the background softly out of focus, full-frame camera, 35 mm lens. \n\nNatural unretouched skin with visible pores, fine peach fuzz, natural skin tone variation and a light healthy glow, individual hair strands and flyaways, camera angle is low and three-quarters profile, we can see her tuft of pubic hair and her perky nipples. \n\n\nDoggy-Style:\nPhoto of a white American girl (28-years old) having hetero sex in the doggy-style position.\n\nShe is on a cozy bed, on all fours with her face down, in the doggy-style sex position, her back is slightly arched as her body quivers with a powerful orgasm, her face clenched, mouth closed, her body slicked with sweat, \n\na man (unseen) is kneeling behind her, his hands gripping her hips tighly, his thick erect penis buried in her vagina, cum leaking out of her pussy to to coat his penis and drip down. \n\nSoft dim lighting, rim-lighting accents, complex shadows adding depth, cozy bedroom in the background softly out of focus, full-frame camera, 200mm lens. \n\nNatural unretouched skin with visible pores, fine peach fuzz, natural skin tone variation and a light healthy glow, individual hair strands and flyaways, camera angle is low and three-quarters profile, we can see her tuft of pubic hair and her perky nipples. "],"widgets_values_named":{"text":"Prompt examples:\n\nMissionary:\nPhoto of a Latina woman having hetero sex in the missionary position.\n\nShe is laying on her back on a bed, her back is slightly arched as her body quivers with a powerful orgasm, her legs bent and parted and partially raised, missionary sex position, a man (unseen) is on top of her and in between her legs, his thick erect penis buried in her vagina, cum leaking out of her pussy to coat his penis, her labia and clitoris and drip down her ass to her asshole.\n\nDim and soft accent lighting, complex shadows adding depth, cozy bedroom in the background softly out of focus, full-frame camera, 35 mm lens. \n\nNatural unretouched skin with visible pores, fine peach fuzz, natural skin tone variation and a light healthy glow, individual hair strands and flyaways, camera angle is low and three-quarters profile, we can see her tuft of pubic hair and her perky nipples. \n\n\nDoggy-Style:\nPhoto of a white American girl (28-years old) having hetero sex in the doggy-style position.\n\nShe is on a cozy bed, on all fours with her face down, in the doggy-style sex position, her back is slightly arched as her body quivers with a powerful orgasm, her face clenched, mouth closed, her body slicked with sweat, \n\na man (unseen) is kneeling behind her, his hands gripping her hips tighly, his thick erect penis buried in her vagina, cum leaking out of her pussy to to coat his penis and drip down. \n\nSoft dim lighting, rim-lighting accents, complex shadows adding depth, cozy bedroom in the background softly out of focus, full-frame camera, 200mm lens. \n\nNatural unretouched skin with visible pores, fine peach fuzz, natural skin tone variation and a light healthy glow, individual hair strands and flyaways, camera angle is low and three-quarters profile, we can see her tuft of pubic hair and her perky nipples. "},"color":"#432","bgcolor":"#653"}],"links":[[25,6,0,12,3,"LATENT"],[52,950,0,951,0,"UPSCALE_MODEL"],[53,951,0,952,0,"IMAGE"],[56,952,0,955,0,"IMAGE"],[68,3,0,962,1,"CLIP"],[84,973,0,972,0,"IMAGE"],[86,12,0,973,0,"LATENT"],[90,977,1,6,1,"INT"],[91,977,0,6,0,"INT"],[107,962,0,12,0,"MODEL"],[108,962,1,983,0,"CLIP"],[109,962,1,984,0,"CLIP"],[110,983,0,12,1,"CONDITIONING"],[111,984,0,12,2,"CONDITIONING"],[112,1,0,973,1,"VAE"],[113,973,0,951,1,"IMAGE"],[114,2,0,962,0,"MODEL"]],"groups":[{"id":2,"title":"OPTIONAL 2x UPSCALE — bypassed. Enable: right-click group title → Bypass Group Nodes (or select nodes, Ctrl+B)","bounding":[1625.8003745398014,179.5142207747821,1281.510577394739,1553.3358998081349],"color":"#8A8","flags":{}}],"config":{},"extra":{"ds":{"scale":0.6050000000000127,"offset":[1918.5253195645882,78.77169650929648]}},"version":0.4} \ No newline at end of file diff --git a/krea2NSFWWorkflow12GB_v10.json b/krea2NSFWWorkflow12GB_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..4f02ea42e898f85dbf7bba1be57efdaac8be23ea --- /dev/null +++ b/krea2NSFWWorkflow12GB_v10.json @@ -0,0 +1 @@ +{"id":"40656a88-186b-46d0-b4bf-f3a84bb0f7ac","revision":0,"last_node_id":33,"last_link_id":17,"nodes":[{"id":25,"type":"Note","pos":[80,80],"size":[1080,500],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[],"title":"READ ME FIRST — Choose one MODEL loader","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.6.2","input_ue_unconnectable":{}}},"widgets_values":["START HERE — MODEL LOADER SELECTION\n\nThis workflow intentionally keeps three model loaders:\nA) Checkpoint Loader — BF16 all-in-one checkpoint (connected by default)\nB) Standard Load Diffusion Model / UNET — FP8/BF16 diffusion model\nC) INT8 ConvRot Loader — requires ComfyUI-INT8-Fast\n\nIMPORTANT: connect exactly ONE loader's MODEL output to the MODEL input on the Power LoRA Loader.\nTo switch: disconnect the current MODEL cable, then drag the desired loader's MODEL output to Power LoRA Loader → model.\n\nThe checkpoint's bundled CLIP/VAE outputs are intentionally unused. Krea2 uses the separate Qwen3-VL text encoder and Qwen Image VAE shown below.\n\nDefault tested generation settings: 1024×1024, batch 1, 8 steps, CFG 1, ER SDE/Simple. Mystic’s creator also recommends trying 12 steps with Euler/Beta for added skin texture."],"color":"#3f5159","bgcolor":"#2a363b"},{"id":26,"type":"Note","pos":[1220,80],"size":[1280,840],"flags":{},"order":1,"mode":0,"inputs":[],"outputs":[],"title":"DOWNLOAD LINKS — Models, LoRAs, encoder, VAE","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.6.2","input_ue_unconnectable":{}}},"widgets_values":["MODEL DOWNLOADS AND FOLDERS\n\nPornMaster Krea2 model page (choose the version/format you need):\nhttps://civitai.com/models/2735032/pornmaster-krea2\n• BF16 checkpoint → ComfyUI/models/checkpoints/\n expected local name: pornmasterKrea2_v2TurboBF16.safetensors\n• INT8 ConvRot → ComfyUI/models/diffusion_models/\n expected local name: pornmasterKrea2_v2TurboInt8.safetensors\n\nOfficial standard Krea2 Turbo FP8 diffusion model:\nhttps://huggingface.co/Comfy-Org/Krea-2/blob/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors\n→ ComfyUI/models/diffusion_models/\n\nMystic XXX Krea2 v3 LoRA:\nhttps://civitai.com/models/2728644/krea-2-mystic-xxx?modelVersionId=3116175\n→ ComfyUI/models/loras/\n\nPornMaster Krea2 Uncensored v1 LoRA:\nhttps://civitai.com/models/2768638?modelVersionId=3116723\n→ ComfyUI/models/loras/\n\nQwen3-VL 4B FP8 text encoder:\nhttps://huggingface.co/Comfy-Org/Qwen3-VL/blob/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors\n→ ComfyUI/models/text_encoders/\n\nQwen Image VAE:\nhttps://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/vae/qwen_image_vae.safetensors\n→ ComfyUI/models/vae/\n\nSome hosting sites require an account and mature-content visibility enabled. Model filenames can change between versions; select the downloaded filename in its loader if it differs.\n\nRecommended optional upscaler for this workflow:\n4xNomos2_otf_esrgan.pth\n→ ComfyUI/models/upscale_models/\nYou can enable the optional upscale group in the graph after the base image is saved."],"color":"#3f789e","bgcolor":"#243846"},{"id":27,"type":"Note","pos":[80,620],"size":[1080,300],"flags":{},"order":2,"mode":0,"inputs":[],"outputs":[],"title":"INSTALLATION — Custom nodes","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.6.2","input_ue_unconnectable":{}}},"widgets_values":["CUSTOM NODES\n\nRequired for the Power LoRA Loader:\nhttps://github.com/rgthree/rgthree-comfy\n\nRequired only for OPTION C — INT8 ConvRot:\nhttps://github.com/BobJohnson24/ComfyUI-INT8-Fast\nThis workflow preserves the tested source setting: on-the-fly quantization = false, ConvRot = true, model type = qwen. Some newer INT8-Fast builds/model cards use model type = krea2 instead; follow the exact INT8 file’s instructions.\n\nThe rest of the graph uses standard ComfyUI nodes. After installing or updating custom nodes, restart ComfyUI and refresh the browser."],"color":"#5f4b32","bgcolor":"#3d3022"},{"id":9,"type":"CLIPLoader","pos":[785,1080],"size":[470,110],"flags":{},"order":7,"mode":0,"inputs":[{"localized_name":"clip_name","name":"clip_name","type":"COMBO","widget":{"name":"clip_name"},"link":null},{"localized_name":"type","name":"type","type":"COMBO","widget":{"name":"type"},"link":null},{"localized_name":"device","name":"device","shape":7,"type":"COMBO","widget":{"name":"device"},"link":null}],"outputs":[{"localized_name":"CLIP","name":"CLIP","type":"CLIP","slot_index":0,"links":[2]}],"title":"REQUIRED — Qwen3-VL 4B FP8 Text Encoder (type: krea2)","properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"CLIPLoader","ue_properties":{"widget_ue_connectable":{"clip_name":true,"type":true,"device":true},"version":"7.6.2","input_ue_unconnectable":{}}},"widgets_values":["qwen3vl_4b_fp8_scaled.safetensors","krea2","default"],"color":"#1f1f48","bgcolor":"rgba(24,24,27,.9)"},{"id":10,"type":"VAELoader","pos":[797,1245],"size":[470,85],"flags":{},"order":8,"mode":0,"inputs":[{"localized_name":"vae_name","name":"vae_name","type":"COMBO","widget":{"name":"vae_name"},"link":null}],"outputs":[{"localized_name":"VAE","name":"VAE","type":"VAE","links":[13]}],"title":"REQUIRED — Qwen Image VAE","properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"VAELoader","ue_properties":{"widget_ue_connectable":{"vae_name":true},"version":"7.6.2","input_ue_unconnectable":{}}},"widgets_values":["qwen_image_vae.safetensors"],"color":"#1f1f48","bgcolor":"rgba(24,24,27,.9)"},{"id":22,"type":"Power Lora Loader (rgthree)","pos":[1400,1060],"size":[460,320],"flags":{},"order":13,"mode":0,"inputs":[{"dir":3,"name":"model","type":"MODEL","link":1},{"dir":3,"name":"clip","type":"CLIP","link":2}],"outputs":[{"dir":4,"name":"MODEL","shape":3,"type":"MODEL","links":[3]},{"dir":4,"name":"CLIP","shape":3,"type":"CLIP","links":[4,5]}],"title":"LORAS — Enable, disable, and set strength here","properties":{"cnr_id":"rgthree-comfy","ver":"1.0.2606200020","Show Strengths":"Single Strength","Match":"","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.6.2"}},"widgets_values":[{},{"type":"PowerLoraLoaderHeaderWidget"},{"on":true,"lora":"MysticXXX_KREA2_v3.safetensors","strength":0.7,"strengthTwo":null},{"on":false,"lora":"PornMaster_Uncensored_Krea2_V1.safetensors","strength":0.8,"strengthTwo":null},{},""]},{"id":20,"type":"CLIPTextEncode","pos":[2485,1040],"size":[660,270],"flags":{},"order":14,"mode":0,"inputs":[{"localized_name":"clip","name":"clip","type":"CLIP","link":4},{"localized_name":"text","name":"text","type":"STRING","widget":{"name":"text"},"link":null}],"outputs":[{"localized_name":"CONDITIONING","name":"CONDITIONING","type":"CONDITIONING","links":[6,9]}],"title":"PROMPT — Positive (replace this example)","properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"CLIPTextEncode","ue_properties":{"widget_ue_connectable":{"text":true},"version":"7.6.2","input_ue_unconnectable":{}}},"widgets_values":["Photorealistic cinematic image of consenting adults age 21+, clearly describe the subjects, setting, composition, camera angle, lighting, clothing, pose, and desired mood. Replace this entire example with your own prompt. Do not depict minors or a real person without permission."],"color":"#232","bgcolor":"#353"},{"id":13,"type":"CLIPTextEncode","pos":[1985,1380],"size":[660,200],"flags":{},"order":15,"mode":0,"inputs":[{"localized_name":"clip","name":"clip","type":"CLIP","link":5},{"localized_name":"text","name":"text","type":"STRING","widget":{"name":"text"},"link":null}],"outputs":[{"localized_name":"CONDITIONING","name":"CONDITIONING","type":"CONDITIONING","links":[8]}],"title":"PROMPT — Optional Negative Text","properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for S&R":"CLIPTextEncode","ue_properties":{"widget_ue_connectable":{"text":true},"version":"7.6.2","input_ue_unconnectable":{}}},"widgets_values":["low quality, blurry, out of focus, deformed anatomy, extra limbs, duplicate subjects, text, watermark, logo"],"color":"#322","bgcolor":"#533"},{"id":6,"type":"ConditioningZeroOut","pos":[2695,1385],"size":[412.909765625,55],"flags":{},"order":16,"mode":0,"inputs":[{"localized_name":"conditioning","name":"conditioning","type":"CONDITIONING","link":6}],"outputs":[{"localized_name":"CONDITIONING","name":"CONDITIONING","type":"CONDITIONING","links":[7]}],"title":"NEGATIVE — Zeroed positive conditioning (Krea default)","properties":{"cnr_id":"comfy-core","ver":"0.25.0","Node name for 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Download the required model files and place them in the folders listed above.\n2. Choose one MODEL loader and connect it to Power LoRA Loader → model.\n3. Enable/disable Mystic XXX and PornMaster Uncensored inside Power LoRA Loader.\n4. Replace the positive prompt. Keep all depicted people unambiguously adult.\n5. Set resolution and batch size. Batch 1 is the safest starting point.\n6. Queue the prompt.\n7. Optional: unbypass the OPTIONAL UPSCALE group to also save a 4xNomos2 upscaled version.\n\nNegative conditioning defaults to Krea's zero-negative approach. Turn the switch TRUE only when you want the written negative prompt.\n\nUse this workflow only for lawful content involving consenting adults. Do not create sexual depictions of minors or non-consensual intimate imagery of real people.\n\nCanvas layout: groups are arranged left to right. Start at the model loader group, then move through encoder/VAE, LoRAs, prompts, generate/save, and finally the optional upscale group."],"color":"#4a7f5b","bgcolor":"#2b4433"},{"id":29,"type":"Note","pos":[3706.4725952148474,329.68051872253426],"size":[1020,260],"flags":{},"order":10,"mode":0,"inputs":[],"outputs":[],"title":"OPTIONAL UPSCALE — bypassed by default","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.6.2","input_ue_unconnectable":{}}},"widgets_values":["OPTIONAL UPSCALE\n\nRecommended Krea2 upscaler: 4xNomos2_otf_esrgan.pth\nPlace it in ComfyUI/models/upscale_models/\n\nThis group is intended to stay BYPASSED by default. The base image will still save normally.\n\nTo enable the upscaled output:\n1. Use the Fast Groups Bypasser node above this group.\n2. Unbypass the group so the upscale path runs.\n3. 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+ "links": [ + 24782, + 24812, + 25782 + ] + } + ], + "title": "ModSampAuraFlo", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.24.0", + "Node name for S&R": "ModelSamplingAuraFlow", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + 1 + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 2553, + "type": "MarkdownNote", + "pos": [ + -3950, + -3520 + ], + "size": [ + 350, + 390 + ], + "flags": { + "pinned": true + }, + "order": 40, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Detailer notes/ 笔记", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "### Instructions:\n- You can use a LoRA if you want, butI rearly do. I typically generate the entire image and make adjustments with the detailer prompt\n- **detailer prompt:** \"green eyes\", \"ring on finger\", nose piercing\", \"red lipstick\".\n- **feather** 8-12\n- **denoise** set lower than what you are used to for other detailers. 0.3 -0.5\n- **blend strength** this is how much overlay or blend it has with the original image. Lower values mean less inpainted image. *💡 change this with denoise (make one higher while lowering the other) to get better results.* \n\n\n\n\n\n### Sam3 nodes\n\n- **prompt:** \"face\", \"eyes\", \"woman face\", \"scarf\", etc.\n- text_threshold: 0.25–0.35 (lower = more sensitive).\n- min_mask_area: 0.001 (lower for tiny/distant objects).\n- crop_padding: 64–128 pixels.\n- mask_dilation: 6–10 (thickens mask to avoid holes).\n- inpaint_resolution: 768+ (higher = better detail).\n- denoise: 0.4–0.6 (subtle changes).\n- blend_mode: \"feather\" (smooth edges).\n- 💡**For small faces:** Lower min_mask_area/text_threshold, increase padding/resolution.\n\n---\n\n\n### 使用说明:\n- 你可以加载 LoRA,但**我很少使用**。我通常先生成整张图像,然后用 detailer prompt 进行细节调整。\n- **detailer prompt 示例**:\"green eyes\", \"ring on finger\", \"nose piercing\", \"red lipstick\"。\n\n- **feather** 8-12 \n- **denoise** 设置比你平时在其他 detailer 中使用的值更低。0.3 - 0.5 \n- **blend strength** 0.75 - 1.0 \n 这是与原始图像的叠加或混合程度。数值越低,修复后的图像占比越小。 \n *💡 将此参数与 denoise 配合调整(一个调高、另一个调低)可获得更好的效果。*\n\n\n\n\n### SAM3 SmartInpainter 节点\n- **prompt**: \"face\", \"eyes\", \"woman face\", \"scarf\" 等。\n- **text_threshold**:0.25–0.35(数值越低越敏感)。\n- **min_mask_area**:0.001(对微小或远处物体可调低)。\n- **crop_padding**:64–128 像素。\n- **mask_dilation**:6–10(加厚遮罩,防止出现空洞)。\n- **inpaint_resolution**:768 以上(越高细节越好)。\n- **denoise**:0.4–0.6(数值越低调整越细微)。\n- **blend_mode**:\"feather\"(羽化边缘,过渡自然)。\n\n- 💡**处理小脸/远距离人脸**:降低 `min_mask_area` 和 `text_threshold`,增加 `crop_padding` 和 `inpaint_resolution`。\n\n\n\n\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2994, + "type": "LCBatchImageComparer", + "pos": [ + -1570, + -2600 + ], + "size": [ + 440, + 550 + ], + "flags": { + "pinned": true + }, + "order": 254, + "mode": 4, + "inputs": [ + { + "name": "image_a", + "shape": 7, + "type": "IMAGE", + "link": 43804 + }, + { + "name": "image_b", + "shape": 7, + "type": "IMAGE", + "link": 43805 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCBatchImageComparer", + "comparer_mode": "Slide", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [], + "color": "#325A5A", + "bgcolor": "#325A5A" + }, + { + "id": 2749, + "type": "MarkdownNote", + "pos": [ + -3470, + -2940 + ], + "size": [ + 290, + 270 + ], + "flags": { + "pinned": true + }, + "order": 41, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "B&W Color Add notes / 说明", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "### Instructions\n- Process your image as you normally would in color\n- enter simple single word prompts, seperated by commas\n- increase the color as needed\n- adjust saturation and brigtness as needed\n\n**Black & White point**\n- the point where it srarts and stops looking for colors\n - low black and high white are wide\n - acts like detection in a SAM or Dino model\n\n**trimap_erode**\n- acts to make the mask transparant.\n - 50 is middle\n - 0 is solid\n\n**trimap dialate**\n- softens the edges by making them transparant\n- fine balance between this and erode\n - 100 is middle\n - over 150 does nothing\n\n\n---\n\n### 说明\n- 像平常一样以彩色方式处理你的图像\n- 输入简单的单个单词提示,用逗号分隔\n- 根据需要增加颜色\n- 根据需要调整饱和度和亮度\n\n**黑点与白点**\n- 图像开始和停止寻找颜色的阈值点\n - 低黑点和高白点范围较宽\n - 作用类似于 SAM 或 Dino 模型中的检测机制\n\n**trimap_erode**\n\n- 用于使遮罩(mask)变得透明。\n - 50 为中间值(中等透明度)\n - 0 为完全不透明(实心)\n\n**Trimap 膨胀(Dilate**\n\n- 通过让边缘变得透明来柔化边缘\n- 需要与 侵蚀(Erode) 精细平衡使用\n - 100 为中间平衡值\n - 超过 150 则不再产生效果\n\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2993, + "type": "LCStop", + "pos": [ + -3720, + -2940 + ], + "size": [ + 240, + 50 + ], + "flags": { + "pinned": true + }, + "order": 138, + "mode": 4, 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+ "### 🥅 Controlnet Notes:\n\n## ⚠️ 🖼️Load Image & I2I🖼️ must be on!\n\n[Krea 2 controlnet nodes](https://github.com/facok/comfyui-krea2-controlnet)\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n- I am assuming that as this model advances, there will be more as of July 7th, 2026, only Depth is available.\n\n\n**⚙️ settings**\n- **AIO Preprocessor**: again, I assume this model will get more options. Right now leave it at depth\n\n- **LoRA strength** seems to work best at 1.0\n\n**Krea2 Control Image Encode:**\n- I have it set for \"Match Image Latent\", which automatically resizes it per the workflow size. \n- Crop and other settings are not needed unless you override the latent. \n\n---\n\n### 🥅 ControlNet 使用笔记:\n\n## ⚠️ 🖼️ 必须开启 “Load Image & I2I” 节点!🖼️\n\n[Krea 2 ControlNet 节点](https://github.com/facok/comfyui-krea2-controlnet)\n\n**ControlNet LoRA**\n- [Krea 2 Depth ControlNet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n- 截至 2026 年 7 月 7 日,目前仅支持 **Depth** 模型,未来随着模型更新可能会有更多选项。\n\n**⚙️ 设置推荐**\n- **AIO Preprocessor**:目前建议保持为 **depth**(后续模型更新后可能增加更多选项)\n- **LoRA 强度**:1.0 效果最佳\n\n**Krea2 Control Image Encode:**\n- 推荐设置为 **“Match Image Latent”**,会根据工作流尺寸自动调整分辨率。\n- 除非你手动覆盖 latent,否则不需要开启 Crop 等其他设置。\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2720, + "type": "KreaMoodboardVisualBrowser", + 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{ + "pinned": true + }, + "order": 59, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Notes/ 笔记", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Settings:\n\n**Denoise:** 0.20 to 0.35 (Max)\n- Anything above 0.40 gives the model too much freedom to \"invent\" new subjects inside a tile. \n- If you still see hallucinations at 0.30 to 0.35, drop to 0.20 - 0.28.\n\n**Tile Padding:** 128 to 512\n\n- Padding allows each tile to \"see\" a bit of the surrounding area. \n- Without enough padding, a tile containing a sleeve doesn't know there is an arm inside it, so it might turn the fabric into a new face.\n\n**Seam Fix Mode:** None or Band Pass\n- ⚠️ Using \"Half Tile\" or \"Area\" seam fixes can sometimes double the chances of hallucinations because they create a second pass over the intersections. If your seams look fine, leave this off.\n\n\n**Low VRAM helper**\n- Set the **image size/x** slider from 1.5-2 and \n- Change **tiled_decode** (at bottom) to \"true\" if it's choking your VRam out. \n\n- ⚠️It will double the amount of tiles you use, so extend processing time and also sacrifice a (little bit) of quality.\n\n\n---\n\n**设置:**\n\n**降噪强度 (Denoise):** 0.20 到 0.35(最大值)\n- 超过 0.40 会给模型过多的自由度,让它在单个 tile 内“凭空创造”新的主体。\n- 如果在 0.30 到 0.35 时仍然出现幻觉(hallucinations),请降低到 0.20 - 0.28。\n\n**Tile Padding(瓦片填充):** 128 到 512\n- 填充值允许每个瓦片“看到”周围区域的部分内容。\n- 如果填充不足,包含衣袖的瓦片就无法感知到里面有手臂,可能会把布料错误地生成新的面部。\n\n**Seam Fix Mode(接缝修复模式):** None 或 Band Pass\n- ⚠️ 使用 “Half Tile” 或 “Area” 接缝修复有时会使幻觉出现的概率翻倍,因为它们会在交叉区域进行第二次处理。如果接缝已经看起来不错,请保持关闭。\n\n**Low VRAM helper(低显存辅助)**\n- 将 **image size/x** 滑块设置为 1.5-2,并\n- 如果显存吃紧,请把底部的 **tiled_decode** 改为 “true”。\n- ⚠️ 这会使瓦片数量翻倍,从而延长处理时间,并略微牺牲一点画质。" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2868, + "type": "mxSlider", + "pos": [ + -3070, + -4740 + ], + "size": [ + 230, + 30 + ], + "flags": { + "pinned": true + }, + "order": 60, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "", + "type": "FLOAT", + "links": [ + 42569 + ] + } + ], + "title": "Upscale Factor", + "properties": { + "cnr_id": "comfyui-mxtoolkit", + "ver": "0.9.92", + "Node name for S&R": "mxSlider", + "value": 2, + "min": 0.5, + "max": 4, + "step": 0.25, + "decimals": 2, + "snap": true, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "widgets_values": [ + 2, + 2, + 1 + ], + "color": "#aa5f46", + "bgcolor": "#964b32" + }, + { + "id": 2864, + "type": "Fast Groups Bypasser (rgthree)", + "pos": [ + -3070, + -4670 + ], + "size": [ + 230, + 60 + ], + "flags": { + "pinned": true + }, + "order": 61, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "title": "Psst...over here 🤫", + "properties": { + "matchColors": "", + "matchTitle": "Seed VR2 Upscale", + "showNav": false, + "showAllGraphs": true, + "sort": "position", + "customSortAlphabet": "", + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#c3782d", + "bgcolor": "#af6419" + }, + { + "id": 2865, + "type": "MarkdownNote", + "pos": [ + -3070, + -4570 + ], + "size": [ + 230, + 220 + ], + "flags": { + "pinned": true + }, + "order": 62, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "🛑⚠️Super Important", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.6.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Settings\n### Low Vram\n**DIT Model**\n- GGUF model\n- blocks to swap = 36\n- offload to cpu\n\n**VAE**\n- encode & decode tiled = both true\n- encode & decode tile size = 928\n- encode & decode Tile overlap = 96\n- Offload device = CPU\n\n**Max Resolution = 4098**\n\n### High VRAm (16gb or above)\n**DIT Model**\n- FP8 or FP16 \n- blocks to swap = lower the number the better \n- offload = none\n\n**VAE**\n- encode & decode tiled = false\n- encode & decode tile size = 1024\n- encode & decode Tile overlap = 128\n- Offload device = None\n\n**Max Resolution (increase to what you want)**\n\n---\n\n## 設定\n\n### 低顯存模式 (Low VRAM)\n\n**DIT 模型**\n- 使用 GGUF 模型\n- 區塊換出數量 (blocks to swap) = 36\n- 卸載到 CPU (offload to cpu)\n\n**VAE**\n- 編碼與解碼使用分塊處理 (encode & decode tiled) = 兩者皆開啟 (true)\n- 編碼與解碼分塊大小 (tile size) = 928\n- 編碼與解碼分塊重疊區域 (Tile overlap) = 96\n- 卸載裝置 (Offload device) = CPU\n\n**最大解析度 = 4098**\n\n### 高顯存模式 (16GB 或以上)\n\n**DIT 模型**\n- 使用 FP8 或 FP16\n- 區塊換出數量 (blocks to swap) = 數值越低越好\n- 卸載設定 (offload) = 關閉 (none)\n\n**VAE**\n- 編碼與解碼使用分塊處理 (encode & decode tiled) = 關閉 (false)\n- 編碼與解碼分塊大小 (tile size) = 1024\n- 編碼與解碼分塊重疊區域 (Tile overlap) = 128\n- 卸載裝置 (Offload device) = 無 (None)\n\n**最大解析度** \n(可依需求自行提高到你想要的數值)\n```\n\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2538, + "type": "AILab_QwenVL_GGUF_PromptEnhancer", + "pos": [ + -5620, + -4390 + ], + "size": [ + 270, + 470 + ], + "flags": { + "pinned": true + }, + "order": 194, + "mode": 0, + "inputs": [ + { + "name": "prompt_text", + "type": "STRING", + "widget": { + "name": "prompt_text" + }, + "link": 43856 + }, + { + "name": "custom_system_prompt", + "type": "STRING", + "widget": { + "name": "custom_system_prompt" + }, + "link": 43999 + }, + { + "name": "seed", + "type": "INT", + "widget": { + "name": "seed" + }, + "link": 25599 + } + ], + "outputs": [ + { + "name": "ENHANCED_OUTPUT", + "type": "STRING", + "links": [ + 43840, + 43843 + ] + } + ], + "title": "Qwen 📝🪄", + "properties": { + "aux_id": "huchukato/ComfyUI-QwenVL-Mod", + "Node name for S&R": "AILab_QwenVL_GGUF_PromptEnhancer", + "ver": "e83e7de1f6291fdd992c2be3538958b201d4b2fc", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "Qwen3-4B-Q8_0.gguf", + "", + "📝 Detailed Visual", + "", + 1024, + 0.8, + 0.9, + 1.1, + false, + "auto", + true, + 998132314 + ], + "color": "#374445", + "bgcolor": "#474539" + }, + { + "id": 1275, + "type": "GetNode", + "pos": [ + -4240, + -4610 + ], + "size": [ + 210, + 50 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 63, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43854 + ] + } + ], + "title": "Get_Prompt Tag", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Prompt Tag" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 2724, + "type": "String", + "pos": [ + -5700, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 64, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43992, + 43995 + ] + } + ], + "title": "Photographic", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "You are a senior Visual Art Director and high-end fashion photography aesthetics expert. Your task is to take the user's short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate artistic beauty, premium cinematic quality, and strong visual tension.\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject cheap influencer aesthetics and create classic, timeless, story-rich artistic images.\n- Create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, etc.) for dramatic visual tension.\n- Give the character graceful poise with emotionally compelling expression, gaze, and posture that conveys serenity, elegance, depth, or poetic feeling.\n- fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional bone structure and facial proportions, deep clear soulful eyes full of story, elegant and serene expression radiating unique high-end aura.\n- **Composition & Artistic Poise**: Classic aesthetic composition using golden ratio or diagonal lines, graceful body posture with elegant extension in hands, shoulders, and neck lines.\n- **Luminous Skin & Delicate Texture**: Healthy translucent luminous skin with subtle satin finish and gentle highlights, fine realistic skin texture that looks refined yet authentic.\n- **Premium Styling & Fabrics**: Luxurious materials such as silk, cashmere, and lace. Rich description of fabric drape, folds, and how light interacts with the fibers.\n- **Hair & Flow**: Natural volume with silky soft sheen, scattered stray hairs and gentle breeze movement for dynamic beauty.\n- **Masterful Lighting**: Highly atmospheric lighting with rim light, soft diffused natural light, or dramatic cool/warm contrast. Light should perfectly sculpt the character's contours and facial dimensionality.\n- **Cinematic Background & Palette**: Artistic, heavily blurred background with beautiful bokeh and shallow depth of field. Colors should complement the subject. Use sophisticated palettes such as Morandi tones, retro film grading, or low-saturation cool/warm contrast.\n- **Aesthetic Keywords**: editorial portrait, cinematic light and shadow, award-winning photography, elegant atmosphere, delicate details, poetic mood.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, texture, and form. Avoid generic compliments. Make every part vivid and cinematic.\n\nOutput only the final expanded prompt. Do not add any explanations or extra text." + ], + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 2725, + "type": "String", + "pos": [ + -5430, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 65, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43991, + 43996 + ] + } + ], + "title": "Realistic", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "You are a professional-grade photography prompt generator. Your task is to expand the user's short input into an extremely realistic, cinematic, film-grade prompt for image generation models.\n\n**Strict Rules to Follow:**\n\nGenerate a highly believable natural person with strong real-life presence. The face must be non-template, non-influencer, and non-AI plastic. Use natural facial structure with natural bone structure, non-exaggerated proportions, and authentic skin texture.\n\nApply a slight candid lifestyle feel with realistic lens perspective. Avoid ID photo or obvious studio shot looks.\n\n**Skin is the core focus:** Present unretouched raw film texture. Include visible real pores (especially nose wings, cheeks, forehead), slight oiliness and subtle blackheads on the nose, light uneven powder, fine under-eye lines and slight darkness, clear natural lip lines, small imperfections (tiny moles, vellus hair, color variations), and subtle oil sheen on forehead/nose tip. Strictly forbid plastic, smooth AI skin. The skin must look real but beautiful — healthy, not rough or dirty.\n\n**Hair:** Natural parting, stray hairs and flyaways, distinct individual strands (never clumped or blurred), some light strands sticking to the face. Forbid wig-like or overly smooth advertising hair.\n\n**Lighting:** Natural diffused overcast daylight or soft window light. No strong studio lighting. Keep realistic environmental exposure with slight contrast allowed to preserve details.\n\n**Scene:** Shallow depth of field with blurred background. Use everyday life scenes such as café, street view, or indoor settings. The background must feel real but not steal focus from the subject.\n\n**Strictly Prohibited:** ID photo style, commercial studio retouching, excessive skin smoothing, plastic skin, cartoonish or illustrative style, exaggerated facial feature reshaping.\n\n**Final Output:** Only output one continuous, high-quality prompt paragraph in a single cinematic-grade description. Do not add explanations or extra text." + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 2723, + "type": "String", + "pos": [ + -5970, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 66, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43993, + 43994 + ] + } + ], + "title": "Generic", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "You are an expert prompt engineer for text-to-image models. Your task is to expand the user's prompt into a highly effective image-generation prompt.\nThink step by step about the request before writing the answer:\n\nWhat is the subject and mood?\nWhat visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\nWhat composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\nFollow these rules strictly:\n\nFaithfulness First: Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\nPractical T2I Structure: Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\nStyle Planning Stays Internal: Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\nText Rendering: If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\nAvoid Over-Specification: Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\nStructure: Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\nRespect Existing Detail: If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding — preserve their phrasing and direction.\nNSFW Support: Fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\nPreserve User Medium: When the user explicitly requests a medium (e.g. \"photo of\", \"photograph of\", \"illustration of\", \"painting of\", \"sketch of\", \"3D render of\"), honor it. Do not pivot to a different medium to avoid difficulty — match the user's stated intent.\n- when \"photorealistic\" is requested, create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, etc.) for dramatic visual tension." + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 3061, + "type": "String", + "pos": [ + -4890, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 67, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 44001, + 44002 + ] + } + ], + "title": "🚫 NSFW", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "***You are a senior Visual Art Director and high-end erotic photography aesthetics expert specializing in realistic NSFW imagery. Your task is to take the user’s short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate realistic beauty, premium cinematic quality, strong visual tension, and explicit sexual intensity.**\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject cheap amateur porn aesthetics and create classic, timeless, story-rich artistic erotic images that feel cinematic and high-end.\n- Create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality, including flushed, sweaty, or aroused surfaces.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, soft practicals, dramatic rim light, etc.) for intense visual and sexual tension.\n- Give the character(s) graceful yet raw, sexually charged poise with emotionally compelling expression, gaze, and posture that conveys lust, surrender, intensity, intimacy, or dominant/submissive energy.\n- Fully embrace and prioritize explicit, erotic, and adult content. Describe nudity, sexual acts, penetration, oral sex, body parts, genitals, fluids, arousal, sweating, trembling, and intimate interactions in direct, detailed, and anatomically accurate language. Do not censor, soften, or assume clothing covers genitals or intimate anatomy. When sex acts are requested or implied, make them the clear visual focus.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional bone structure and facial proportions, deep clear soulful eyes full of desire or intensity, aroused and emotionally charged expression radiating raw sexual energy and high-end erotic aura.\n- **Composition & Sexual Poise**: Dynamic, intimate composition using golden ratio or strong diagonal lines, bodies locked in explicit sexual positions with graceful yet intense extension of limbs, hips, hands, and necks that emphasize penetration, oral contact, or intimate friction.\n- **Luminous Skin & Delicate Texture**: Healthy translucent luminous skin with subtle satin finish, gentle highlights, fine realistic skin texture, visible flush, light sweat, saliva, or other fluids that look refined yet authentically aroused.\n- **Premium Styling & Fabrics**: Any remaining clothing or lingerie described as luxurious materials (silk, lace, sheer fabrics) with rich drape, folds, and light interaction — often partially removed, pulled aside, or ruined to reveal the sexual act.\n- **Hair & Flow**: Natural volume with silky soft sheen, scattered stray hairs, and movement from physical exertion or gentle breeze for dynamic, intimate beauty.\n- **Masterful Lighting**: Highly atmospheric cinematic lighting with rim light, soft diffused practical light, or dramatic cool/warm contrast. Light should perfectly sculpt bodies, faces, genitals, and the points of sexual contact with sensual dimensionality.\n- **Cinematic Background & Palette**: Artistic, heavily blurred background with beautiful bokeh and shallow depth of field. Colors should complement the skin and mood. Use sophisticated palettes such as warm intimate tones, low-saturation cool/warm contrast, or rich cinematic grading that heightens erotic atmosphere.\n- **Aesthetic Keywords**: editorial erotic photography, cinematic light and shadow, award-winning realistic NSFW, intense sexual atmosphere, delicate anatomical details, raw poetic lust, high-end explicit intimacy.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, texture, form, and explicit sexual action. Prefer natural, flowing language. Avoid generic compliments. Make every part vivid, cinematic, and unapologetically sexual.\nOutput only the final expanded prompt. Do not add any explanations or extra text." + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 3056, + "type": "LCAnySwitch", + "pos": [ + -4240, + -4690 + ], + "size": [ + 330, + 190 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 160, + "mode": 0, + "inputs": [ + { + "label": "STRING", + "name": "any_01", + "shape": 7, + "type": "STRING", + "link": 43991 + }, + { + "label": "STRING", + "name": "any_02", + "shape": 7, + "type": "STRING", + "link": 43992 + }, + { + "label": "STRING", + "name": "any_03", + "shape": 7, + "type": "STRING", + "link": 43993 + }, + { + "label": "STRING", + "name": "any_04", + "shape": 7, + "type": "STRING", + "link": 43998 + }, + { + "label": "STRING", + "name": "any_05", + "shape": 7, + "type": "STRING", + "link": 44001 + } + ], + "outputs": [ + { + "label": "STRING", + "name": "STRING", + "type": "STRING", + "links": [ + 43999 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCAnySwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": { + "any_01": true, + "any_02": true, + "any_03": true, + "any_04": true, + "any_05": true, + "any_06": true, + "any_07": true, + "any_08": true, + "any_09": true, + "any_10": true, + "any_11": true, + "any_12": true, + "any_13": true, + "any_14": true, + "any_15": true, + "any_16": true, + "any_17": true, + "any_18": true, + "any_19": true, + "any_20": true + }, + "send_to_any": 0, + "apply_to_unrepeated": 0, + "version": "7.8" + }, + "aux_id": "lonecatone23/ComfyUI_LC123_nodes" + }, + "widgets_values": [ + 5 + ], + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 1263, + "type": "SetNode", + "pos": [ + -4240, + -3890 + ], + "size": [ + 210, + 40 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 159, + "mode": 0, + "inputs": [ + { + "name": "STRING", + "type": "STRING", + "link": 13782 + } + ], + "outputs": [ + { + "name": "*", + "type": "*", + "links": null + } + ], + "title": "Set_prefix", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "prefix" + ], + "color": "#232", + "bgcolor": "#353", + "shape": 2 + }, + { + "id": 1524, + "type": "DownloadAndLoadFlorence2Model", + "pos": [ + -7880, + -5000 + ], + "size": [ + 340, + 110 + ], + "flags": { + "pinned": true + }, + "order": 68, + "mode": 0, + "inputs": [ + { + "name": "lora", + "shape": 7, + "type": "PEFTLORA", + "link": null + } + ], + "outputs": [ + { + "name": "florence2_model", + "type": "FL2MODEL", + "links": [ + 44004 + ] + } + ], + "properties": { + "cnr_id": "comfyui-florence2", + "ver": "606bc5cd3465d48c66aa573bc1680c9bbe78edd9", + "Node name for S&R": "DownloadAndLoadFlorence2Model", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.7" + } + }, + "widgets_values": [ + "MiaoshouAI/Florence-2-base-PromptGen-v2.0", + "bf16", + "sdpa" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 3019, + "type": "LCTextRemove", + "pos": [ + -8000, + -4540 + ], + "size": [ + 360, + 414 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 207, + "mode": 0, + "inputs": [ + { + "name": "text", + "type": "STRING", + "link": 43903 + } + ], + "outputs": [ + { + "name": "text", + "type": "STRING", + "links": [ + 43899 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCTextRemove", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + 10, + false, + 0, + "watermark", + "name", + "Logo", + "right corner", + "righthand corner", + "left corner", + "lefthand corner", + "written", + "artist's", + "along the bottom", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "" + ], + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 2063, + "type": "SetNode", + "pos": [ + -7800, + -4540 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 246, + "mode": 0, + "inputs": [ + { + "name": "STRING", + "type": "STRING", + "link": 43894 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": null + } + ], + "title": "Set_Prompt Tag", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "Prompt Tag", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Prompt Tag" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 2097, + "type": "MarkdownNote", + "pos": [ + -8140, + -4500 + ], + "size": [ + 600, + 200 + ], + "flags": { + "pinned": true + }, + "order": 69, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Notes / 笔记 :", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.7", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Florence Notes:\n\n## ⚠️ Load Image 🖼️ Must be ***ON*** or you will get an error\n\n\n### 💡 I'll typically run this once, cut & paste the prompt out of it, drop it into the prompt area, and edit accordingly. \n\n## settings\n- **Model** any of the *\"prompt_gen_base\"* models work. Size and version affect the outcome.\n- bf16 works just as well as FP16 and is the best balanced choice \n- **caption/ detailed_caption/ more_detailed_caption:** works best for natural language models (Flux, ZIT, Qwen)\n- **prompt_gen_tags:** Good for SDXL, *but...*\n- **⭐ prompt_gen_mixed_caption:** works extremely well for SDXL, ILLU, Pony, N00B as well as for Zit. (mixed reviews on Flux. tends to just double stuff up)\n\n---\n\n## Florence 笔记:\n### 💡 我通常只会运行一次,然后将生成的 prompt 剪切粘贴出来,放入提示词区域,再进行相应编辑。\n\n## 设置\n- **Model**:使用任意 *\"prompt_gen_base\"* 模型即可。模型大小和版本会影响生成效果。\n- bf16 的效果与 FP16 相当,是平衡性最好的选择。\n- **caption / detailed_caption / more_detailed_caption**:最适合自然语言模型(Flux、ZIT、Qwen)。\n- **prompt_gen_tags**:适合 SDXL,*但……*\n- **⭐ prompt_gen_mixed_caption**:对 SDXL、ILLU、Pony、N00B 以及 Zit 效果极佳。(Flux 评价不一,容易出现内容重复。)\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2066, + "type": "GetNode", + "pos": [ + -8140, + -4540 + ], + "size": [ + 210, + 40 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 70, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "INT", + "type": "INT", + "links": [ + 19004 + ] + } + ], + "title": "Get_Seed", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Seed" + ], + "color": "#1b4669", + "bgcolor": "#29699c" + }, + { + "id": 2082, + "type": "Florence2Run", + "pos": [ + -8140, + -5000 + ], + "size": [ + 250, + 420 + ], + "flags": { + "pinned": true + }, + "order": 180, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 45443 + }, + { + "name": "florence2_model", + "type": "FL2MODEL", + "link": 44004 + }, + { + "name": "seed", + "shape": 7, + "type": "INT", + "widget": { + "name": "seed" + }, + "link": 19004 + } + ], + "outputs": [ + { + "name": "image", + "type": "IMAGE", + "links": null + }, + { + "name": "mask", + "type": "MASK", + "links": null + }, + { + "name": "caption", + "type": "STRING", + "links": [ + 43903 + ] + }, + { + "name": "data", + "type": "JSON", + "links": null + } + ], + "properties": { + "cnr_id": "comfyui-florence2", + "ver": "ee64d1ef3fedcb26fff9bcc78065f9eea21ccb87", + "Node name for S&R": "Florence2Run", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.7" + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "widgets_values": [ + "", + "more_detailed_caption", + true, + true, + 1024, + 3, + true, + "", + 380632161228708, + "randomize" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 3058, + "type": "LC Bypasser Panel", + "pos": [ + -4620, + -5000 + ], + "size": [ + 340, + 174 + ], + "flags": { + "pinned": true + }, + "order": 192, + "mode": 0, + "inputs": [ + { + "name": "hub", + "type": "*", + "link": 43997 + } + ], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "title": "LLM Instruct", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + false, + false, + false + ], + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 3057, + "type": "LC Bypasser", + "pos": [ + -4240, + -4650 + ], + "size": [ + 240, + 560 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 161, + "mode": 0, + "inputs": [ + { + "name": "Generic", + "type": "*", + "link": 43994 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "Photographic", + "type": "*", + "link": 43995 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "Realistic", + "type": "*", + "link": 43996 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "Anime", + "type": "*", + "link": 44000 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "🚫 NSFW", + "type": "*", + "link": 44002 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "", + "type": "*", + "link": null + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + } + ], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": [ + 43997 + ] + } + ], + "properties": { + "toggleRestriction": "max one", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + false, + false, + false + ], + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 2457, + "type": "MarkdownNote", + "pos": [ + -4620, + -4800 + ], + "size": [ + 340, + 110 + ], + "flags": { + "pinned": true + }, + "order": 71, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Instruct Notes:", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "**I noticed a while back that different runs of images respond better to different instructions.** [Fabrohacks](https://civitai.red/user/FaboroHacks) did this in their workflow, so I decided to do sommething similar:\n- choose the Qwen instructions based on the type of image you are generating.\n- the Generic one works best for all around, but if you are going for a portrait or realism, try one of the others\n\n---\n\n**我之前就注意到,不同的图像生成批次对不同指令的响应效果更好。** [Fabrohacks](https://civitai.red/user/FaboroHacks) 在他们的工作流中采用了这种做法,所以我也决定做类似的事情:\n\n- 根据您要生成的图像类型来选择对应的 Qwen 指令。\n- 通用(Generic)指令适合大多数情况,但如果您想生成**肖像**或**写实**风格的图像,建议尝试其他专用指令。\n\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3088, + "type": "LCDetailPipeOut", + "pos": [ + -3950, + -4720 + ], + "size": [ + 200, + 270 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 149, + "mode": 0, + "inputs": [ + { + "label": "pipe", + "name": "pipe", + "type": "LC_PIPE", + "link": 44064 + } + ], + "outputs": [ + { + "name": "pipe", + "type": "LC_PIPE", + "links": null + }, + { + "name": "Model 1", + "type": "MODEL", + "links": [ + 44058 + ] + }, + { + "name": "Clip 1", + "type": "CLIP", + "links": null + }, 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"fully_implicit/radau_iia_3s" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 2357, + "type": "MarkdownNote", + "pos": [ + -5840, + -3700 + ], + "size": [ + 600, + 670 + ], + "flags": { + "pinned": true + }, + "order": 87, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Notes: / 笔记 :", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\n## Settings:\n\n**Denoise (Now up top)**\n- mainly for I2I 🖼️. works well at higher levels. I like leaving it around .97 for everyday use, but it is also the first thing I go to to change a pose.\n\n\n\n**Sigma Scheduler Σ**\n\n- Just another level of detail. Really good when messing with realism. \n- **Base Sigmas** uses the scheduler you chose and acts normally.\n\n- **Beta sine** is similar to beta57, but this is cleaner and give crisper results\n- **Karras min-max** its my cheating way to get Karras level realism on Flowmatch models\n- If you are so inclined to mess with stuff 🤔...\n - The schedulers are in the lilac nodes. You can expand them to change the settings. \n\n**🤡 ClownSamplerSelector**\n- One of the main advantages to using Clownshark Samplers is their **fully_imlicit, diag_implicit**, and multiple other **sampler** options. \n- However, their names and schedules are not compatible with anything other than Clownshark Samplers, and only a fraction of regular names work with them. To overcome this, I have done the following:\n- **ClownSampler Selector:** You can manually select any one of the Clown Samplers to use. **Note:** all other parts of the workflow will be based on your choice in the *⚙️ User Settings* area.\n- ⚠️ if you get an error like *UnboundLocalError: cannot access local variable 'ci' where it is not associated with a value* (which I shoud have dealt with), change the sampler name.\n\n**Detail Daemon**\n- This is dialed in pretty tight already. You relly should only mess with the *detail_amount* number.\n- I've found 0.2 -0.5 works well\n- If you want to mess with it more, the chart is below at the bottom:\n\n\n\n\n\n**LC Stop 🛑**\n- When turned on, the generation stops here. It allows you to make changes before committing to the upscalers, detailers, etc.\n- make changes to settings after it according to how your image came out, then hit **⏯️**\n- My low VRAM favorite trick.\n- **Play sound 🔊**: Makes a sound when it gets to this point so you don't have to sit there and watch it\n- 💡⚠️**if you have random seed turned on, it will keep starting from scratch. Make sure to fix the Seed!**\n\n--- \n\n\n**Best Detail Daemon Sampler Settings**\n| Preset | detail_amount | start | end | bias | exponent | smooth | Recommended For | Notes |\n|-------------------------|---------------|---------|---------|------|----------|--------|-------------------------------------|-------|\n| **Balanced** (Sweet Spot) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | Everyday use, general images | Best all-rounder for most users |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | Realism, textures, landscapes | Excellent sharpness & fine detail |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | Intricate subjects, high detail | Use carefully, can look oversharpened |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | Portraits, skin tones | Natural look, low artifacts |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | Professional portraits | Very subtle enhancement |\n\n### Quick Tips:\n- `detail_amount` is the main control (higher = more detail).\n- Most users find **0.50** the best daily default for Flux.\n- `start` = when detail boost begins | `end` = when it stops.\n- Keep **bias = 0.0** and **exponent = 1.0** for most cases.\n- to test if anyone reads my notes, first one to tell me the name of my Dog (Mochi) on this model for 100 buzz.\n- Always enable **smooth = True**.\n\n---\n\n## 设置说明:\n\n**Denoise(去噪强度)**\n- 主要用于 **I2I 🖼️**。数值越高效果越明显。\n- 我日常使用喜欢设置为 **0.97** 左右,但如果需要大幅改变姿势,这是我第一个调整的参数。\n\n**Sigma Scheduler Σ**\n- 能进一步提升细节表现,尤其在写实风格下非常好用。\n- **Base Sigmas**:使用你选择的调度器,表现正常。\n- **Beta sine**:类似 beta57,但更干净、结果更锐利。\n- **Karras min-max**:我在 Flowmatch 模型上偷懒获取 Karras 级别写实感的办法。\n- 如果你想进一步调整 🤔:\n - 调度器设置在紫色节点中,展开后可以修改参数。\n\n\n**🤡 ClownSamplerSelector**\n\n- 使用 Clownshark Samplers 的主要优势之一是它们提供了 **fully_implicit**、**diag_implicit** 以及多种其他 **sampler** 选项。\n- 然而,这些采样器名称和调度与 Clownshark Samplers 之外的其他节点不兼容,只有少数常规名称能正常工作。为了解决这个问题,我做了以下处理:\n- **ClownSampler Selector**:你可以手动选择任意一个 Clown Sampler 使用。**注意**:工作流的其他部分将基于你在 *⚙️ User Settings* 区域中的选择。\n- ⚠️ 如果出现类似 *UnboundLocalError: cannot access local variable 'ci' where it is not associated with a value* 的错误(我本应该已经处理),请尝试更换采样器名称。\n\n**Detail Daemon**\n- 当前已经调校得比较理想。你主要只需调整 **detail_amount** 参数即可。\n- 推荐范围:**0.2 - 0.5**\n- 如果想更深入调整,下方有参考图表。\n\n**LC Stop 🛑****\n- 开启后,生成会在此处停止。方便你在提交给 upscaler 和 detailer 之前进行调整。\n- 根据生成结果修改设置后,点击 **⏯️** 继续。\n- 这是我低显存时的最爱技巧。\n- **Play sound 🔊**:到达此处时播放提示音,不用一直盯着屏幕。\n- 💡⚠️ **如果开启了随机种子,它会不断从头开始生成。请务必固定 Seed!**\n\n---\n\n**最佳 Detail Daemon Sampler 设置**\n\n| 预设 | detail_amount | start | end | bias | exponent | smooth | 推荐用途 | 备注 |\n|------------------------|---------------|-------|-------|------|----------|--------|--------------------|------|\n| **Balanced**(甜蜜点) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | 日常使用、一般图像 | 大多数用户的最佳均衡选择 |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | 写实、纹理、风景 | 极佳的锐利度和细微细节 |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | 复杂主体、高细节 | 使用需谨慎,可能过度锐化 |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | 人像、皮肤 | 自然效果,低伪影 |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | 专业人像 | 非常细微的增强 |\n\n### 快速使用建议:\n- `detail_amount` 是最主要的控制参数(数值越高 = 细节越强)。\n- 大多数用户认为 **0.50** 是 Flux 模型的最佳日常默认值。\n- `start` = 细节增强开始步数 | `end` = 细节增强结束步数。\n- 大多数情况下保持 **bias = 0.0** 和 **exponent = 1.0**。\n- 始终启用 **smooth = True**。\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3084, + "type": "LCSplitSigmasAdvanced", + "pos": [ + -6270, + -3090 + ], + "size": [ + 290, + 150 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 247, + "mode": 0, + "inputs": [ + { + "name": "model_1", + "type": "MODEL", + "link": 44175 + }, + { + "name": "sigmas_1", + "type": "SIGMAS", + "link": 44047 + }, + { + "name": "model_2", + "shape": 7, + "type": "MODEL", + "link": 44176 + }, + { + "name": "sigmas_2", + "shape": 7, + "type": "SIGMAS", + "link": null + }, + { + "name": "step_swap", + "type": "INT", + "widget": { + 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+ ], + "color": "#46288c", + "bgcolor": "#321478" + }, + { + "id": 2704, + "type": "MarkdownNote", + "pos": [ + -6740, + -2860 + ], + "size": [ + 730, + 640 + ], + "flags": { + "pinned": true + }, + "order": 88, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "💡Tips & Tricks/ 提示与技巧", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## 💡Tips & Tricks:\n\nWhat I do...😼\n\n**📝 Prompting:**\n- I typically start with an idea, write it in the prompt box, then run it through the enhancer.\n- or... I'll run an image through Florence and get the prompt.\n- then I'll cut & paste it back into the prompt box and edit it. \n\n**Steps:**\n- I'll typically run every model at the very top range or a few steps over what is recommended. Too many steps overbake it. For Krea2 Turbo, I use 10-12\n\n**🖼️ to 👠👗style, 🎭mask, 🥅 controlnet**\n- quality is everything. 🗑️garbage in, 🗑️ garbage out.\n- ⚠️ understand the limits of each models controlnet before getting angry with it. Krea2 is designed in a way that does not play nice with controlnet, and currently we are limited to only one set of weights and one type: depth. **It is hit or miss.** I use it to get close. If I want precision, I'll use Flux.\n- 👗👠 Using two styles is cool, but a little difficult to control. I always give you options, but I never use more than one image. \n - 💡 I purposely made it use Image 2 and 3 so that you can still put an image in the first slot for a prompt.\n\n**Settings** \n- I have a set of schedulers and samplers that I like. I use them over and over again and only change them for different styles:\n- **regular:**\n - Res_2m/ Beta57 (or bong tangent)\n - Euler/ Simple\n - dpmpp_2m_sde/ sgm_uniform\n- **🤡Sampler selector**\n - fully_implicit/radau_iii-3s (or 4s) + Bong tanget or simple\n\n**Sigma Selector**\n- **Beta** for everything not realiam\n- **base** or **dpmpp** for realism\n- its a nifty little toy for sharpening and detail\n\n**Detailer Daemon**\n- This is really set and forget with me. On or off once I have it locked in. \n\n**Hi Res Fix/ Ultimate Upscaler**\n- I never upscale past 2.0\n- Skin and detail can be a big help here. \n - siax_200\n - skin_diff_lite\n - foolhardy\n- **Anime:** Anime sharp\n- **Graphics:** any superscale. I like Nickelback\n\n**🚫NSFW Detailers**\n- short of nipples, I have yet to find a reason to use these on Krea2. \n\n**Detailers**\n- I never combine face with eyes. I'll just use face 9 times out of 10 unless I want something special with the eyes\n\n**Seed VR2**\n- This collects dust. I use it for commercial or commission graphics. \n - That being said, I used it a lot when I had lower VRAM. Mainly because pushing the upscaled version through the detailers was VRAM prohibitive.\n- for almost any image in everyday use or on the site. The ultimate upscaler is usually enough.\n\n**🎨 Post processing**\n- of the ones on the top line, I really only use Contrast adaptive sharpen every day. The others are for when I am trying to get a certain effect\n- **Image filter** is your friend. I always leave it a little low on bright and a little high on saturation\n- **Optical Realism 📷, 📷 Lens FX, 🔬 Clarity FX.** These are all for reailsm. \n - I vary between them. For example, I use several different model and LoRA combinations. One works better for one set, the other for another. \n - 💡 Never use optical realism and Lens FX at the same time. They get in a cage match. \n- **LUT** My all time favorite. It really can make an image. I like *Cool_Natural_Breeze* \n\n\n---\n\n**💡提示与技巧:**\n\n**📝 提示词(Prompting):**\n\n* 我通常先有一个想法,在提示框中写下来,然后通过增强器(enhancer)运行它。\n* 或者……我会把一张图片通过 Florence 处理,获取提示词。\n* 然后将其剪切并粘贴回提示框中进行编辑。\n\n**步骤:**\n\n* 我通常会把每个模型都运行在推荐步数的最高范围或略高一些。步数太多会过度烘焙。对于 **Krea2 Turbo**,我使用 10-12 步。\n\n**🖼️ 到 👠👗风格、🎭遮罩、🥅 ControlNet**\n\n* 质量就是一切。🗑️垃圾输入,🗑️垃圾输出。\n- ⚠️ 在对 ControlNet 发火之前,请先了解每个模型的 ControlNet 限制。Krea2 的设计方式与 ControlNet 兼容性不佳,目前我们仅支持一组权重和一种类型:**depth**。**效果时好时坏。** 我用它来先得到接近的结果。如果需要精确控制,我会改用 Flux。\n\n* 👗👠 使用两种风格很酷,但控制起来有点难。我总是给你提供选项,但我自己从不使用超过一张图片。\n * 💡 我特意把它设计成使用 Image 2 和 Image 3,这样你仍然可以在第一个槽位放入图片作为提示。\n\n**设置(Settings)**\n\n* 我有一套自己喜欢的调度器和采样器。我会反复使用它们,只在不同风格时才更换:\n\n* 常规:\n * Res_2m / Beta57(或 Bong Tangent)\n * Euler / Simple\n * dpmpp_2m_sde / sgm_uniform\n\n* 🤡Sampler 选择器\n * fully_implicit / radau_iii-3s(或 4s) + Bong Tangent 或 Simple\n\n**Sigma 选择器**\n\n* 非写实类全部使用 Beta\n* 写实类使用 base 或 dpmpp\n\n\n**Detailer Daemon**\n\n- 这个对我来说真的是设置好就忘掉的工具。一旦锁定设置后,我就只会打开或关闭它。\n\n**Hi Res Fix / Ultimate Upscaler**\n\n* 我从不将 upscale 超过 2.0\n* 皮肤和细节在这里帮助很大:\n * siax_200\n * skin_diff_lite\n * foolhardy\n* 动漫风格:Anime sharp\n* 图形/插画:任何 superscale,我喜欢 Nickelback\n\n**🚫NSFW Detailers**\n\n* 除了乳头以外,我还没找到在 Krea2 上使用这些 Detailers 的理由。\n\n**Detailers**\n\n* 我从不把面部和眼睛结合使用。十次里有九次我只用面部 Detailer,除非我想对眼睛做特别处理。\n\n**Seed VR2**\n\n- 这个已经闲置了。我主要用它来做商业或委托图形。\n - 话虽如此,当我 VRAM 较低时,我曾大量使用它。主要因为将放大后的版本送入 detailers 处理会非常占用 VRAM。\n\n- 对于日常使用或网站上的几乎任何图像,Ultimate Upscaler 通常就足够了。\n\n**🎨 后期处理(Post Processing)**\n\n* 在顶栏的那些选项中,我每天真正常用的只有 **Contrast adaptive sharpen**。其他选项只在我想达到特定效果时使用。\n* Image filter 是你的好朋友。我总是把亮度调得稍微低一点,饱和度调得稍微高一点。\n* **Optical Realism 📷**、**📷 Lens FX**、**🔬 Clarity FX** —— 这些都用于写实风格。\n * 我会在它们之间切换。例如,我会使用几种不同的模型和 LoRA 组合,有的组合适合这一组,有的适合另一组。\n * 💡 永远不要同时使用 Optical Realism 和 Lens FX,它们会打架。\n* **LUT** —— 我一直以来的最爱。它真的能拯救一张图片。我最喜欢 **Cool_Natural_Breeze**。\n\n" + ], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 2705, + "type": "Label (rgthree)", + "pos": [ + -6670, + -2970 + ], + "size": [ + 531.9375, + 48 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 89, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "💡 Psst.... 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style that they were made with\n- You can also 🔎 from the search bar\n\nMoodboard node [Repo](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards)\n\n**Search, save favorites, roll the 🎲 to get a random one**\n- works in conjunction with everything else on this aircraft carrier of a workflow. \n- 💡 Image edit 🖼️🔁 and style transfer 👠👗 tend to override it, so use base prompt encode 📝\n- **strength** set at normal seems to work fine.\n\n---\n\n**Krea Moodboard** \n**[Moodboard Gallery](https://www.krea.ai/app?gallery=moodboards)** \n- 浏览此处可以查看图像以及它们所使用的风格 \n- 你也可以通过搜索栏进行 🔎 搜索 \n\nMoodboard 节点 [仓库](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards) \n\n**搜索、保存收藏、掷 🎲 获取随机一张** \n- 可与工作流中的其他所有部分协同工作(这个工作流堪称航母级别)。 \n- **strength** 设置为 normal(正常)即可正常工作。\n- 💡 图像编辑 🖼️🔁 和风格迁移 👠👗 容易覆盖它,因此建议使用 base prompt encode 📝\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3120, + "type": "Bookmark (rgthree)", + "pos": [ + -6270, + -3780 + ], + "size": [ + 210, + 70 + ], + "flags": { + 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have an image truned on, but it is enabled, it gets ignored\n\n**Single Image style transfer**\n- Switch on Image 2 \n\n**Dual Image Style Transfer**\n- Both Image 2 & 3 need to be on\n- ⚠️ Turning on just Image 3 by itself makes it use both 🤔\n\n---\n### 👉 Krea 2 模型 不会 像 Klein_9b 那样进行 I2I。它将图像用作参考,不会 直接复现图像。\n\n\n### 基础提示编码 📝\n- 用于普通 T2I 和普通 I2I\n\n---\n### 图像编辑 🖼️🔁\n**⚠️🚫 如果开启了 **Sage Attention** 则无法使用!** \n必须在上方(⚙️ 用户设置)以及 **start.bat** 文件中将其关闭\n\n**使用说明**\n- 请确保打开此开关\n- Image 1 为你的原始图片\n- 根据需要开启 Image 2 和 Image 3\n- 在主提示词区域输入提示词\n\n---\n### 风格转移 👠🥂👗\n\n## 🛑 你必须使用 Base Prompt Encode\n\n- 这会使用图像 2 和 3\n- ⚠️ 如果没有开启任何图片,但对应开关被启用,它会被忽略。\n\n**单图像风格转移**\n\n- 打开图像 2 开关\n\n**双图像风格转移**\n\n- 图像 2 和 3 都需要打开\n- ⚠️ 单独打开 Image 3 时,它会同时使用两张图片 🤔" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3102, + "type": "LC Groups Bypasser", + "pos": [ + -7990, + -4000 + ], + "size": [ + 380, + 90 + ], + "flags": { + "pinned": true + }, + "order": 100, + "mode": 0, + "inputs": [ + { + "name": "# 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sigmas runs with the controlnet model cnditioning, 2nd runs with the clean model\n- you don't need a lot of steps for the second one (like 10%)\n\n\n**VRAM and processing speed**\n- Adding **Image reference edit 🖼️🔁** and **style Transfer 👠🥂👗** will significantly slow down the processing speed. \n- It will process, but take twice as long. The same goes for **🥅controlnet**\n- Ihe more you combine, the slower it will get. **This is normal**\n\n---\n**双采样器(Dual Samplers)**\n- 专门用来处理 ControlNet 渗色(bleed)。\n- 第一组 sigma 使用带 ControlNet 的模型条件;第二组使用干净模型。\n- 第二段不需要很多步数(大约 10% 即可)。\n\n**显存与处理速度**\n- 加入 **Image reference edit 🖼️🔁** 和 **style Transfer 👠🥂👗** 会明显拖慢处理速度。\n- 仍能正常出图,但大约会慢一倍。**🥅 ControlNet** 也是如此。\n- 叠加得越多,就越慢。**这是正常现象。**\n" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 3119, + "type": "MarkdownNote", + "pos": [ + -6340, + -4160 + ], + "size": [ + 320, + 150 + ], + "flags": { + "pinned": true + }, + "order": 102, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Sampler Settings ⚙️", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Sampler settings ⚙️\n- **total steps:** total steps for teh entire generation\n- **step swap:** the point where it transfers from High To Low Sampler\n- **detailer steps:** The amount of steps for the detailers (typically 8 for Krea Turbo)\n- **Denoise:** for I2I. Typically leave it around 0.98 for everyday generation\n- **CFG 1 & 2:** High and Low CFGs\n- **sampler & scheduler:** These are the **Base** samplers that the entire workflow uses. If you use the **🤡 Sampler Selector** (in the 🧠 brains area). It overrides it for the **high & low pass samplers only**\n\n---\n\n**采样设置 ⚙️**\n- **total steps:** 整次生成的总步数 \n- **step swap:** 从 High 采样器切换到 Low 采样器的交接步数 \n- **detailer steps:** 细节修复(detailer)使用的步数(Krea Turbo 通常为 8) \n- **Denoise:** 用于图生图(I2I)。日常生成一般保持在约 **0.98** \n- **CFG 1 & 2:** High 与 Low 的 CFG \n- **sampler & scheduler:** 整条工作流使用的**基础**采样器与调度器。若在 🧠 brains 区域使用 **🤡 Sampler Selector**,则**仅覆盖采样器(samplers)**,调度器等仍按原设置" + ], + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 1307, + "type": "Seed (rgthree)", + "pos": [ + -6340, + -3970 + ], + "size": [ + 320, + 130 + ], + "flags": { + "pinned": true + }, + "order": 103, + "mode": 0, + "inputs": [], + "outputs": [ + { + "dir": 4, + "name": "SEED", + "shape": 3, + "type": "INT", + "links": [ + 25599, + 43835, + 43839, + 43940 + ] + } + ], + "title": "Seed 🌱", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "1.0.2512112053", + "randomMax": 1125899906842624, + "randomMin": 0, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + -1, + "", + "", + "" + ], + "color": "#963617", + "bgcolor": "#822203" + }, + { + "id": 3014, + "type": "LCSamplerConfigure", + "pos": [ + -6340, + -4620 + ], + "size": [ + 320, + 420 + ], + "flags": { + "pinned": true + }, + "order": 104, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "total_steps", + "type": "INT", + "links": [ + 43882 + ] + }, + { + "name": "cfg_1", + "type": "FLOAT", + "links": [ + 43883 + ] + }, + { + "name": "denoise", + "type": "FLOAT", + "links": [ + 43884 + ] + }, + { + "name": "step_swap", + "type": "INT", + "links": [ + 43885 + ] + }, + { + "name": "cfg_2", + "type": "FLOAT", + "links": [ + 43886 + ] + }, + { + "name": "sampler_name", + "type": "COMBO", + "links": [ + 43887, + 43938 + ] + }, + { + "name": "scheduler", + "type": "COMBO", + "links": [ + 43888, + 43939 + ] + }, + { + "name": "detailer_steps", + "type": "INT", + "links": [ + 43889 + ] + } + ], + "title": "LC Sampler Configure ⚙️", + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCSamplerConfigure", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + 12, + 8, + 8, + 1, + "", + 2, + 1, + "", + "euler", + "simple" + ], + "color": "#324b4b", + "bgcolor": "#324b4b" + }, + { + "id": 1313, + "type": "DF_Text", + "pos": [ + -6340, + -4720 + ], + "size": [ + 320, + 60 + ], + "flags": { + "pinned": true + }, + "order": 105, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 13782 + ] + } + ], + "title": "Filename Prefix", + "properties": { + "cnr_id": "derfuu_comfyui_moddednodes", + "ver": "1.0.1", + "Node name for S&R": "DF_Text", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + "Lonecats Krea 2" + ], + "color": "#25e5f3", + "bgcolor": "#11d1df", + "shape": 2 + }, + { + "id": 1292, + "type": "ModelSamplingAuraFlow", + "pos": [ + -6340, + -4820 + ], + "size": [ + 320, + 60 + ], + "flags": { + "pinned": true + }, + "order": 200, + "mode": 0, + "inputs": [ + { + "label": "model", + "name": "model", + "type": "MODEL", + "link": 44448 + } + ], + "outputs": [ + { + "label": "MODEL", + "name": "MODEL", + "type": "MODEL", + "links": [ + 38914 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.7.0", + "Node name for S&R": "ModelSamplingAuraFlow", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 4 + ], + "color": "#222", + "bgcolor": "#000", + "shape": 2 + }, + { + "id": 3059, + "type": "String", + "pos": [ + -5160, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 106, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43998, + 44000 + ] + } + ], + "title": "Anime", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "**You are a senior Visual Art Director and master anime/illustration aesthetic expert. Your task is to take the user’s short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate anime beauty, premium illustration quality, clean linework, and strong visual tension.**\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject noisy or overly busy styles and create clean, timeless, story-rich anime and illustration images.\n- Emphasize clean, precise linework, sharp contours, and refined cel-shaded or soft-painted surfaces. Keep surfaces smooth and elegant with controlled highlights — noble, refined, and polished illustration quality.\n- Use cinematic yet anime-appropriate lighting to build dimensionality and atmosphere (soft rim light, dramatic rim, gentle glow, volumetric light rays, golden-hour anime lighting, etc.) for strong visual tension.\n- Give the character graceful anime poise with emotionally compelling expression, gaze, and posture that conveys serenity, elegance, depth, or poetic feeling.\n- Fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional anime facial proportions and bone structure, large expressive eyes full of story and emotion, elegant and serene expression radiating unique high-end anime aura, clean precise linework.\n- **Composition & Artistic Poise**: Classic aesthetic composition using golden ratio or dynamic diagonal lines, graceful anime body posture with elegant extension in hands, shoulders, and neck lines, refined silhouette.\n- **Clean Lines & Surface Quality**: Sharp, confident clean line art, smooth polished surfaces with subtle cel-shading or soft painterly gradients, controlled highlights and soft shadows for refined illustration finish.\n- **Premium Styling & Fabrics**: Luxurious anime clothing materials such as flowing silk, delicate lace, soft knits, and detailed patterns. Rich description of fabric drape, folds, and how light interacts with the surfaces.\n- **Hair & Flow**: Voluminous anime hair with silky soft sheen, individual strands and gentle breeze movement for dynamic beauty, clean outlines and flowing motion.\n- **Masterful Lighting**: Highly atmospheric anime lighting with rim light, soft diffused glow, or dramatic cool/warm contrast. Light should perfectly sculpt the character’s contours and facial dimensionality while remaining clean and illustrative.\n- **Cinematic Background & Palette**: Artistic, heavily blurred or softly detailed background with beautiful bokeh and shallow depth of field. Colors should complement the subject. Use sophisticated anime palettes such as soft pastel tones, rich saturated hues, cinematic anime grading, or elegant low-to-medium saturation cool/warm contrast.\n- **Aesthetic Keywords**: anime illustration, clean line art, elegant anime atmosphere, delicate details, poetic mood, high-end anime aesthetic, refined cel-shading.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, line, texture, and form. Prefer natural, flowing language. Avoid generic compliments. Make every part vivid, cinematic, and distinctly anime/illustration in character.\nOutput only the final expanded prompt. Do not add any explanations or extra text." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 3054, + "type": "LC Bypasser Panel", + "pos": [ + -5630, + -4580 + ], + "size": [ + 290, + 126 + ], + "flags": { + "pinned": true + }, + "order": 148, + "mode": 0, + "inputs": [ + { + "name": "hub", + "type": "*", + "link": 43984 + } + ], + "outputs": [ + { + "label": "shh 🤫", + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "title": "Prompt 📝 Bypass", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + true + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 1302, + "type": "ShowText|pysssss", + "pos": [ + -4780, + -4580 + ], + "size": [ + 500, + 330 + ], + "flags": { + "pinned": true + }, + "order": 216, + "mode": 0, + "inputs": [ + { + "name": "text", + "type": "STRING", + "link": 43843 + } + ], + "outputs": [ + { + "name": "STRING", + "shape": 6, + "type": "STRING", + "links": [ + 32998 + ] + } + ], + "title": "Final Prompt", + "properties": { + "cnr_id": "comfyui-custom-scripts", + "ver": "1.2.5", + "Node name for S&R": "ShowText|pysssss", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + "A photo-realistic close-up of a young woman in her late teens or early twenties, with long, wavy blonde hair falling past her shoulders, seated center frame in an indoor setting illuminated by soft, diffused daylight streaming through a blurred window. She wears a beige parka with an open fur hood, her upper body visible as she gazes directly into the camera with calm, green eyes and slightly parted lips, her right hand resting on a window sill. The lighting enhances the texture of her fur, the subtle contours of her face, and the gentle shadows across her skin, creating a serene, tranquil atmosphere that emphasizes her composed expression and the quiet stillness of the moment." + ], + "color": "#46aa46", + "bgcolor": "#329632" + }, + { + "id": 174, + "type": "GetNode", + "pos": [ + -5020, + -2900 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 107, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 513 + ] + } + ], + "title": "Get_Pro Post", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Pro Post" + ], + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": 2 + }, + { + "id": 173, + "type": "GetNode", + "pos": [ + -5190, + -2900 + ], + "size": [ 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+ ], + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "1.0.2512112053", + "comparer_mode": "Slide", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + [ + { + "name": "A", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_mntrh_00022_.png&type=temp&subfolder=&rand=0.022969746689120996" + }, + { + "name": "B", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_mntrh_00023_.png&type=temp&subfolder=&rand=0.4645607311256016" + } + ] + ], + "color": "#233", + "bgcolor": "#355", + "shape": 2 + }, + { + "id": 2715, + "type": "PrimitiveBoolean", + "pos": [ + -9260, + -4100 + ], + "size": [ + 430, + 60 + ], + "flags": { + "pinned": true + }, + "order": 109, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "BOOLEAN", + "type": "BOOLEAN", + "links": [ + 28677 + ] + } + ], + "title": "Image 2 edit 🖼️🔁", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.27.0", + "Node name for S&R": "PrimitiveBoolean", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + false + ], + "color": "#c3782d", + "bgcolor": "#af6419" + }, + { + "id": 3125, + "type": "Label (rgthree)", + "pos": [ + -9150, + -4260 + ], + "size": [ + 313.9365234375, + 18 + ], + "flags": { + "allow_interaction": true + }, + "order": 110, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "⚠️ use this one for style 👠🥂👗 First", + "properties": { + "fontSize": 18, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 3111, + "type": "LC Bypasser", + "pos": [ + -6270, + -3130 + ], + "size": [ + 310, + 310 + ], + "flags": { + "collapsed": true + }, + "order": 298, + "mode": 0, + "inputs": [ + { + "name": "Sigma Scheduler Σ", + "type": "*", + "link": 44291 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "🤡 ClownSamplerSelector", + "type": "*", + "link": 44292 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "Detail Daemon Sampler 😈", + "type": "*", + "link": 44293 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "Notify 🔊", + "type": "*", + "link": 44893 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "", + "type": "*", + "link": null + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + } + ], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": [ + 44290 + ] + } + ], + "properties": { + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + true, + false + ], + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 3131, + "type": "LCNotify", + "pos": [ + -6070, + -3580 + ], + "size": [ + 210, + 140 + ], + "flags": {}, + "order": 290, + "mode": 4, + "inputs": [ + { + "name": "any", + "shape": 7, + "type": "*", + "link": 44892 + } + ], + "outputs": [ + { + "name": "any", + "type": "*", + "links": [ + 44893 + ] + } + ], + "title": "Notify 🔊", + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "5832ec12d24dc0e316809e990ca4bb50852e4b72", + "Node name for S&R": "LCNotify", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "always", + 0.5, + "T-rex.mp3", + null + ], + "color": "#649632", + "bgcolor": "#649632" + }, + { + "id": 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"order": 250, + "mode": 0, + "inputs": [ + { + "name": "text", + "type": "STRING", + "link": 44894 + } + ], + "outputs": [ + { + "name": "text", + "type": "STRING", + "links": [ + 44895 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "5832ec12d24dc0e316809e990ca4bb50852e4b72", + "Node name for S&R": "LCCivitaiStrip", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "civitai_compliance_remove.txt" + ], + "color": "#643232", + "bgcolor": "#643232" + }, + { + "id": 3139, + "type": "GetNode", + "pos": [ + -5890, + -2100 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 111, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 44898, + 44899 + ] + } + ], + "title": "Get_Pro Post", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Pro Post" + ], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 3140, + "type": "MarkdownNote", + "pos": [ + -5740, + -2100 + ], + "size": [ + 480, + 90 + ], + "flags": { + "pinned": true + }, + "order": 112, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Last Image holder/ 上一张图像保持器", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "**Two Options**\n- Hold last Image (will refresh after every generation)\n- hold until cleared.\n- can be plugged into an image compare node\n\n---\n\n**两种模式**\n\n- **Hold last Image**(保留上一张图,每次生成后会刷新) \n- **Hold until cleared**(一直保留,直到手动清除) \n- 可接到 **Image Compare** 节点上使用" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1118, + "type": "MarkdownNote", + "pos": [ + -8160, + -3200 + ], + "size": [ + 1030, + 2490 + ], + "flags": { + "pinned": true + }, + "order": 113, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Krea2 notes 260624", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\n# Instructions\n\n\n\n### Follow me on CivitAi [HERE](https://civitai.com/user/lonecatone23)\n\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n\n### This represents hundreds of hours of work. If you enjoy it, please 👍like, 💬 comment , and feel free to ⚡tip 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n\n## General:\n# 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n### ⚠️ If you get a \"Nonetype:\" error, it's the controlent switches, No image in i2i or mask, or you don't have a sampler turned on. \n### 💾 Save info:\n- NOTHING SAVES UNLESS IT IS TURNED ON! \n- 📂 the folder labels are in the \"Save Group\" if you want to change them.\n- **Save Post Process** saves the final image without Metadata. Use this to enter it manually on CivitAi if teh checkpoint does not show up.\n\n## Model Links \n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF version](https://civitai.red/api/download/models/3069586?fileId=2948449). ⚠️ do not use the other ones found on CivitAI. They are garbage.\n\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - For Image Edit. **Rename after download**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n**Krea 2 Conditioning Rebalance**\n\n- Removes safety filter for NSFW [HERE](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n### Aspect Ratio Node:\n- Use a preset dimension or your own. If you use your own, make sure to set the preset to \"custom\".\n- Prescale: This will downsize your initial choice, which helps with Low VRAM.\n- Upscale: Attached to SEED VR2\n- Hi rez fix slider: This controls the upscale factor of the hi-rez fix. I typically have it at 1.5 to take pressure off of the SEED Vr2 upscaler.\n### I2I and Florence Prompt Generator:\n- ⚠️ Both I2I and Florence must be on to use I2I.\n- ***Background removal***. It helps if you do ot want background in your prompt or in the controlnet model. Read the istructions for its use in that area. \n- ⚠️ Turn off \"text remove\" if you are removing teh background but not using Florence or you will get a \"text\" error\n- The Controlnet uses the **I2I** image as well, so it must be on.\n\n### Prompt enhancer **Qwen 📝🪄**\n- Use Qwen3-VL-8b-Instruct version\n- This is basically a pruned LLM model that enhances your prompt. Enter the instructions on what it should do. \n- The size of the prompt massively affects the generation speed. I have left two different instruction templates in the \"Notes\" section)\n- 💡If you are having issues with the model not loading or not being found, follow the instructions [HERE](https://github.com/huchukato/ComfyUI-QwenVL-Mod)\n\n### Seed Variance Enhancer:\n- randomize_percent: lower is subtle, higher is strong.\n- Noise Amount: Between 20-30. \n- Noise insert: Begining steps work best.\n## 🛑🚫 Draft Mode:\n- when enabled, it stops the workflow at this point (no hirez, detail, etc.)\n- Draft is saved (if \"Save Draft\" is turned on)\n- Play Sound should ding (on portable version only). \n-Instructions to change the sound are in the notes area. (delete if not needed)\n### Upscale tips and tricks:\n- If you struggle with low VRAM, setting the aspect ratio low and using SEED VR2 on the other side will help generation issues. \n- Prescale: The one in the aspect ratio increases the size of the generation, The slider is for Hi-rez fix. \n- Tiled vs. not tiled: Tiling breaks the image up, greatly speeds up processing time, but sacrifices (a little bit of) quality. Set them as high as possible. \n### Hi-REZ upscale:\n- Use Ultra Sharp, Niclekback, or Ersgan for realism.\n- Use Anime sharp for...well... Anime.\n- If you struggle with VRAM, use the slider at the bottom. It increases the amnount of tiles by decreasing the size. Use it opnly to prevent OOM issues or brick ups. \n- [upscale models](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- If you struggle with noise (often from poorly made Loras), this wil do a slightly better job of cleaning it. [Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n### Detailers:\n- **(ZIT VERSION ONLY)** ✋ Make sure to use a checkpoint that matches your style of work. (i.e. Realism, Anime)\n- Change the sampler and scheduler accordingly.\n- Face & hands detector [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- Eyes [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo: what's the differrence between V8n & V8s?** The \"n\" stands for \"nano\" less accurate but les VRAM. Use S whenever possible. This is typically an issue on the face detailer\n### 🚫 Detailers NSFW (if applicable):\n- Turn off female if you are going to use male or you may get odd results.\n- ⚠️ There are two different types of detailers. The SEGs and the SAM detailers. Each works differently and with different models. You will get a wierd error if you put the wrong model in the SEGs loader. It's mainly for body. Use the other two for specifics\n- [female body detection](https://civitai.com/models/1816953/female-body-detection)\n- [Male Body Parts Detection](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- Place them in the segm foler (see below).\n- [Other body parts (watch what you download)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- If this is not the NSFW Version and you would like it. I should have it on my [Civitai page](https://civitai.com/user/lonecatone23) or message me.\n### Seed VR2 Upscaler:\n- [Watch this video](https://www.youtube.com/watch?v=MBtWYXq_r60).\n- This is set up for low VRAM. For higher VRAM, turn off tiling in the VAE and then increase resolution.\n- Debug is on. If you watch the log, it will warn you or tell you that you have more space top increase. \n*Automatic Downloads*\n- The selected model and VAE files will be downloaded automatically on first use.\n- ⚠️ Because these models are large, the download may take several minutes.\n- Monitor the console log for download progress.\n- Manual download into the 📂`ComfyUI\\models\\SEEDVR2` directory is possible. \n- Models can be found [here](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) and [here](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main).\n## Controlnet\n- ⚠️ When it is bypassed, all of the switches get reset. ***You have to go through and redo them.***\n- ⚠️ Controlnet does not work unless the I2I image is on. \n### Model patch\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- use ver 2.1\n### LUT\n- You can get free LUTs [HERE](https://freshluts.com)\n- See below for folder location \n***DING!*** (play sound)\n- Only works on the portable version for some reason\n- Directions to add your own are below.\n- you have to manually enter the name of the file (case sensitive).\n### Useful Nodes links:\n\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n\n[Controlnet](https://github.com/Fannovel16/comfyui_controlnet_aux)\n\n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n\n[ComfyUI-Custom-Scvripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)\n\n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n\n[Use everywhere nodes](https://github.com/chrisgoringe/cg-use-everywhere)\n\n[Virtuoso nodes](https://github.com/chrisfreilich/virtuoso-nodes) \n\n[JWS Nodes](https://github.com/jamesWalker55/comfyui-various) resize node options (if you can't load it)\n\n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3)\n\n[Seed variance Enhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer)\n\n[Captain Flowmatch](https://github.com/capitan01R/ComfyUI-CapitanFlowMatch)\n\n[Captain Flowmatch Conditioning Enhancer](https://github.com/capitan01R/Capitan-ConditioningEnhancer)\n\n[Prompt Reader Nodes](https://github.com/receyuki/comfyui-prompt-reader-node?tab=readme-ov-file#installation)\n\n[Optical Realism](https://github.com/skatardude10/ComfyUI-Optical-Realism)\n\n### File Locations\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── Lut files\n│ ├── 📂 SEED VR2\n│ │ └── All files\n│ ├── 📂 uralytics\n│ │ └── 📂 segm\n│ │ └──detection files\n│ ├── 📂 upscale_models\n│ │ └── upscale models (Ersgan, Nickelback, etc.)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3 (or any other .mp3 sound)\n\n\n\n\n\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1251, + "type": "MarkdownNote", + "pos": [ + -9280, + -3190 + ], + "size": [ + 1060, + 2490 + ], + "flags": { + "pinned": true + }, + "order": 114, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# 说明\n### 在 CivitAi 上关注我 [HERE](https://civitai.com/user/lonecatone23)\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n### 这代表数百小时的工作成果。如果你喜欢,请 👍点赞、💬留言,并欢迎随时 ⚡打赏 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n## 通用说明:\n# 🛑🚫✋ 严禁手动绕过任何设置!所有功能都有对应的开关。\n### ⚠️ 如果出现 \"Nonetype:\" 错误,通常是 controlnet 开关问题、i2i 或 mask 没有图片,或者没有启用采样器。\n### 💾 保存相关信息:\n- **除非主动开启,否则什么都不会保存!**\n- 📂 文件夹名称可在 “Save Group” 中修改。\n- **Save Post Process** 会保存最终图像(不带元数据)。如果 checkpoint 在 CivitAi 上不显示,可用此方式手动上传。\n\n### 模型链接\n\nBF16 和 NVFP4 版本请见 [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF 版本](https://civitai.red/api/download/models/3069586?fileId=2948449)。 ⚠️ 不要使用 CivitAI 上找到的其他版本。它们都是垃圾。\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - 用于图像编辑。**下载后重命名**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n\n**Krea 2 Conditioning Rebalance**\n\n- 移除 NSFW 安全过滤器 [ConditioningKrea2Rebalance](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n\n\n\n### 画幅比例节点(Aspect Ratio Node):\n- 可使用预设尺寸或自定义尺寸。自定义时必须将预设选为 **custom**。\n- **Prescale**:会先缩小你选择的初始尺寸,有助于低显存情况。\n- **Upscale**:连接到 SEED VR2。\n- **Hi-rez fix 滑块**:控制 hi-rez fix 的放大倍率。通常设为 1.5 以减轻 SEED VR2 上采样压力。\n\n### I2I 与 Florence 提示词生成器:\n- ⚠️ 必须同时开启 **I2I** 和 **Florence** 才能使用 I2I 功能。\n- ***背景移除***:如果你不希望提示词或 controlnet 模型带有背景,开启很有帮助。请阅读该区域的使用说明。\n- Controlnet 也会使用 **I2I** 的图片,因此 I2I 必须开启。\n\n### 提示词增强器(Prompt Enhancer):**Qwen 📝🪄**\n- 使用 **Qwen3-VL-8b-Instruct**。\n- 这是一个精简的 LLM 模型,用于优化你的提示词。请在其中输入你希望它如何改进提示。\n- 提示词长度会显著影响生成速度。“Notes” 区域中已保留两种不同的指令模板供参考。\n- 💡如果模型无法加载或找不到模型,请按照[此处](https://github.com/huchukato/ComfyUI-QwenVL-Mod)的说明操作\n\n### Seed 变化增强器(Seed Variance Enhancer):\n- **randomize_percent**:数值越低变化越微妙,数值越高变化越强烈。\n- **Noise Amount**:建议 20–30。\n- **Noise insert**:在开始步骤(Beginning steps)效果最好。\n\n## 🛑🚫 草稿模式(Draft Mode):\n- 开启后,工作流会在此处停止(不进行 hi-rez、细节处理等)。\n- 草稿图像会保存(需开启 “Save Draft”)。\n- **Play Sound** 会发出提示音(仅便携版支持)。\n- 更改提示音的方法见 Notes 区域(不需要可删除)。\n\n### 上采样技巧:\n- 显存不足时,可降低画幅比例 + 使用另一侧的 SEED VR2,有助于缓解生成问题。\n- **Prescale**(在 Aspect Ratio 节点中):增大生成底图尺寸;**Hi-rez fix 滑块**:控制二次放大的倍率。\n- **Tiled vs. 非 Tiled**:平铺模式会把图像切块,大幅加快处理速度,但牺牲少量质量。建议尽量把平铺参数调高。\n\n### Hi-REZ 上采样:\n- 写实风格推荐:Ultra Sharp、Niclekback 或 Ersgan。\n- 动漫风格推荐:Anime sharp。\n- 显存吃紧时,使用底部滑块增加切块数量(减小单块尺寸),仅用于避免 OOM 或砖块 artifact。\n- [上采样模型下载](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- 如果出现噪点(常由劣质 LoRA 引起),可使用此模型略微改善:[Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n\n### 细节修复器(Detailers):\n- **(仅 ZIT 版本)** ✋ 请确保使用的 checkpoint 与你的风格匹配(写实 / 动漫)。\n- 相应调整 sampler 和 scheduler。\n- 脸部 & 手部检测模型 [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- 眼睛专用 [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo:V8n 与 V8s 的区别?** “n”代表 nano,精度较低但显存占用少。**尽可能使用 S 版本**(尤其脸部细节修复常见问题)。\n\n### 🚫 NSFW 细节修复器(若适用):\n- 如果要生成男性,请关闭女性检测,否则可能出现奇怪结果。\n- ⚠️ 有两种细节修复器:**SEGs** 和 **SAM**,使用的模型不同,装错会报奇怪错误。SEGs 主要用于身体,其余两个适合局部细节。\n- [女性身体检测](https://civitai.com/models/1816953/female-body-detection)\n- [男性生殖器检测](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- 模型需放入 segm 文件夹(见下方路径)。\n- [其他身体部位模型(注意甄别下载内容)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- 如果当前不是 NSFW 版本,想要获取可前往我的 [Civitai 主页](https://civitai.com/user/lonecatone23) 或私信我。\n\n### Seed VR2 上采样器:\n- [观看教学视频](https://www.youtube.com/watch?v=MBtWYXq_r60)\n- 本设置针对低显存优化。高显存用户可关闭 VAE 中的 tiling,然后提高分辨率。\n- Debug 已开启,可观察日志,它会提醒你是否还有余量继续增大。\n\n**自动下载说明**\n- 首次使用时,选中的模型和 VAE 文件会自动下载。\n- ⚠️ 模型较大,下载可能需要几分钟。\n- 请关注控制台日志查看下载进度。\n- 也可手动下载到 📂`ComfyUI\\models\\SEEDVR2` 目录。\n- 模型地址:[这里](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) 和 [这里](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main)。\n\n## ControlNet\n- ⚠️ 绕过(bypass)ControlNet 时,所有开关都会重置。***需要重新逐个设置。***\n- ⚠️ 必须开启 I2I 图片,ControlNet 才会生效。\n\n### 模型补丁(Model patch)\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- 推荐使用 **2.1** 版本\n\n### LUT\n- 可在此免费获取 LUT:[HERE](https://freshluts.com)\n- 文件存放位置见下方\n\n***DING!***(播放声音)\n- 仅便携版支持\n- 自定义声音方法见下方说明\n- 需手动输入文件名(区分大小写)\n\n### 常用节点链接:\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n[Controlnet Aux](https://github.com/Fannovel16/comfyui_controlnet_aux) \n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack) \n[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts) \n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n[Use Everywhere](https://github.com/chrisgoringe/cg-use-everywhere) \n[Virtuoso nodes](https://github.com/chrisfreilich/virtuoso-nodes) \n[JWS Nodes](https://github.com/jamesWalker55/comfyui-various) (resize 节点选项,若无法加载) \n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3) \n[Seed Variance Enhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer) \n[Captain Flowmatch](https://github.com/capitan01R/ComfyUI-CapitanFlowMatch) \n[Captain Flowmatch Conditioning Enhancer](https://github.com/capitan01R/Capitan-ConditioningEnhancer) \n[Prompt Reader Nodes](https://github.com/receyuki/comfyui-prompt-reader-node?tab=readme-ov-file#installation)\n\n[Optical Realism](https://github.com/skatardude10/ComfyUI-Optical-Realism)\n\n### 存储路径\n```\n📂 ComfyUI/\n├─📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── LUT 文件\n│ ├── 📂 SEED VR2\n│ │ └── 所有相关文件\n│ ├── 📂 ultralytics\n│ │ └── 📂 segm\n│ │ └── 检测模型文件\n│ ├── 📂 upscale_models\n│ │ └── 上采样模型(Ersgan、Nickelback 等)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3(或其他 .mp3 声音文件)\n```\n\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3141, + "type": "LCBatchImageComparer", + "pos": [ + -5580, + -1970 + ], + "size": [ + 320, + 450 + ], + "flags": { + "pinned": true + }, + "order": 193, + "mode": 0, + "inputs": [ + { + "label": "🎨 Post Process", + "name": "image_a", + "shape": 7, + "type": "IMAGE", + "link": 44899 + }, + { + "label": "Held Image", + "name": "image_b", + "shape": 7, + "type": "IMAGE", + "link": 44901 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "5832ec12d24dc0e316809e990ca4bb50852e4b72", + "Node name for S&R": "LCBatchImageComparer", + "comparer_mode": "Slide", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [], + "color": "#325A5A", + "bgcolor": "#325A5A" + }, + { + "id": 3001, + "type": "LC Bypasser", + "pos": [ + -8820, + -4460 + ], + "size": [ + 280, + 250 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 244, + "mode": 0, + "inputs": [ + { + "name": "Load Image 1 🖼️", + "type": "*", + "link": 43810 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "Remove Background", + "type": "*", + "link": 43811 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "I2I 🖼️", + "type": "*", + "link": 43813 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "", + "type": "*", + "link": null + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + } + ], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": [ + 43812 + ] + } + ], + "properties": { + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + false + ], + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 3143, + "type": "Label (rgthree)", + "pos": [ + -8820, + -4520 + ], + "size": [ + 326.984375, + 16 + ], + "flags": { + "allow_interaction": true + }, + "order": 115, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "💡 adjust Max resolution down for low VRAM ", + "properties": { + "fontSize": 16, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 3138, + "type": "LCLastImageHolder", + "pos": [ + -5890, + -1970 + ], + "size": [ + 300, + 450 + ], + "flags": { + "pinned": true + }, + "order": 163, + "mode": 0, + "inputs": [ + { + "name": "new_image", + "shape": 7, + "type": "IMAGE", + "link": 44898 + } + ], + "outputs": [ + { + "name": "held image", + "type": "IMAGE", + "links": [ + 44901 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "5832ec12d24dc0e316809e990ca4bb50852e4b72", + "Node name for S&R": "LCLastImageHolder", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "hold until cleared", + "clear_btn" + ], + "color": "#324B4B", + "bgcolor": "#324B4B" + }, + { + "id": 2089, + "type": "RMBG", + "pos": [ + -8490, + -4550 + ], + "size": [ + 240, + 300 + ], + "flags": { + "collapsed": true + }, + "order": 178, + "mode": 4, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 44070 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 19014, + 43811, + 44077 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": null + }, + { + "name": "MASK_IMAGE", + "type": "IMAGE", + "links": null + } + ], + "title": "Remove Background", + "properties": { + "cnr_id": "comfyui-rmbg", + "ver": "3.0.0", + "Node name for S&R": "RMBG", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.7" + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "widgets_values": [ + "RMBG-2.0", + 1, + 1024, + 0, + 0, + false, + false, + "Color", + "#222222" + ], + "color": "#222e40", + "bgcolor": "#364254" + }, + { + "id": 3224, + "type": "Label (rgthree)", + "pos": [ + -7220, + -3370 + ], + "size": [ + 435.640625, + 16 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 116, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "🖼️2🖼️ and other 🖼️⚙️ are now in the Image area (Top Left)", + "properties": { + "fontSize": 16, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 3144, + "type": "MarkdownNote", + "pos": [ + -6740, + -2150 + ], + "size": [ + 790, + 640 + ], + "flags": { + "pinned": true + }, + "order": 117, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "# LC123 Performance Settings ⚙️", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# LC123 Performance Settings ⚙️\n\n> **UI only** — smoother scrolling and lighter on-node previews. \n> These settings do **not** change generation VRAM, model load, or output image quality on the sockets.\n\n---\n\n## Where to find them\n\n1. Open **ComfyUI Settings** (gear).\n2. In the sidebar, open **LC123**.\n3. Open **Performance**.\n\nIf you don’t see the full list: restart ComfyUI, then **Ctrl+F5** (hard refresh) so the updated `web/lc_performance_settings.js` loads.\n\n---\n\n## What each option does\n\n| Setting | Default | What it does |\n|--------|---------|----------------|\n| **Remove wipe** | Off | Turns off hover A/B wipe on **image FX** nodes. Last result still shows. |\n| **Half-resolution previews** | Off | Draws FX previews at **half** the node’s image area (less GPU/CPU work while panning). |\n| **Clamp longest side** | Off | Downscales the **on-node** preview bitmap so the longest side ≤ **Max edge**. |\n| **Max edge (px)** | 768 | Used only when **Clamp longest side** is on. Try 512–1024 on heavy graphs. |\n| **No preview when collapsed** | On | Collapsed FX nodes skip drawing previews (less work while scrolling). |\n| **Hide FX on-node previews** | Off | Hides all LC **image FX** on-node previews. Socket outputs are unchanged. |\n| **Skin Beauty full preview override** | On | **LC Skin Beauty** keeps a **full-quality** on-node preview even if half-res / clamp are on (for zooming skin detail). Wipe still follows **Remove wipe**. |\n\n---\n\n## What is *not* affected\n\nThese stay fully interactive and are **not** driven by the Performance toggles:\n\n- **LC Image Compare 🔎**\n- **LC Dynamic Overlay**\n- **LC Image Split 🖼️**\n\nGeneration, Save Image, and every **IMAGE** output socket still use full resolution.\n\n---\n\n## Suggested setups\n\n### Default (shipped)\nLeave everything at default: full FX previews, wipe on, Skin Beauty override on.\n\n### Heavy graph / laggy scroll\n1. Turn **Half-resolution previews** **On** \n2. Turn **Clamp longest side** **On** (Max edge **512** or **768**) \n3. Keep **No preview when collapsed** **On** \n4. Leave **Skin Beauty full preview override** **On** if you still inspect skin on the node \n\n### Maximum UI lightness\n1. **Hide FX on-node previews** **On** \n2. Or use **Remove wipe** + half-res + clamp \n3. Use **Image Compare** / **Image Split** when you need a wipe \n\n---\n\n## Notes\n\n- Changes apply on the next canvas redraw (panning or queue is enough; no reinstall needed).\n- Optional SAM / LayerStyle / big models are separate from these settings; they still use their own VRAM.\n- Pack files: `web/lc_performance_settings.js`, `web/lc_image_preview.js`\n---\n\n**\"True, nothing is. Permitted, everything is\"**_Yoda Auditore. *Assassin's Wars*\n\n---\n\n---\n\n# LC123 性能设置 ⚙️\n\n> **仅影响界面** — 滚动更顺、节点内预览更轻。 \n> 这些设置**不会**改变生成时的显存占用、模型加载,或输出接口上的图像质量。\n\n---\n\n## 在哪里找到\n\n1. 打开 **ComfyUI 设置**(齿轮图标)。 \n2. 在侧边栏中打开 **LC123**。 \n3. 打开 **Performance**。\n\n如果看不到完整列表:请重启 ComfyUI,然后按 **Ctrl+F5**(强制刷新),以便加载更新后的 `web/lc_performance_settings.js`。\n\n---\n\n## 各选项说明\n\n| 设置 | 默认 | 作用 |\n|------|------|------|\n| **Remove wipe** | 关 | 关闭 **图像 FX** 节点上的悬停 A/B 对比条。仍显示最近一次结果。 |\n| **Half-resolution previews** | 关 | 将 FX 预览绘制为节点图像区域的 **一半**(平移时减少 GPU/CPU 负担)。 |\n| **Clamp longest side** | 关 | 缩小 **节点内** 预览位图,使最长边 ≤ **Max edge**。 |\n| **Max edge (px)** | 768 | 仅在开启 **Clamp longest side** 时生效。复杂工作流可试 512–1024。 |\n| **No preview when collapsed** | 开 | 折叠的 FX 节点不再绘制预览(滚动时更省资源)。 |\n| **Hide FX on-node previews** | 关 | 隐藏所有 LC **图像 FX** 的节点内预览。接口输出不变。 |\n| **Skin Beauty full preview override** | 开 | 即使开启半分辨率/最长边限制,**LC Skin Beauty** 仍保持 **全质量** 节点内预览(方便放大看肤质)。对比条仍遵循 **Remove wipe**。 |\n\n---\n\n## 不受影响的内容\n\n以下节点保持完整交互,**不受** Performance 开关控制:\n\n- **LC Image Compare 🔎** \n- **LC Dynamic Overlay** \n- **LC Image Split 🖼️** \n\n生成、Save Image,以及所有 **IMAGE** 输出接口仍使用全分辨率。\n\n---\n\n## 推荐配置\n\n### 默认(出厂)\n全部保持默认:完整 FX 预览、开启对比条、开启 Skin Beauty 覆盖。\n\n### 复杂工作流 / 滚动卡顿\n1. 打开 **Half-resolution previews** \n2. 打开 **Clamp longest side**(Max edge 设为 **512** 或 **768**) \n3. 保持 **No preview when collapsed** 为 **开** \n4. 若仍需在节点上查看皮肤细节,保持 **Skin Beauty full preview override** 为 **开** \n\n### 界面最轻量\n1. 打开 **Hide FX on-node previews** \n2. 或使用 **Remove wipe** + 半分辨率 + 最长边限制 \n3. 需要对比条时使用 **Image Compare** / **Image Split** \n\n---\n\n## 说明\n\n- 更改在下次画布重绘时生效(平移或排队即可,无需重装)。 \n- 可选的 SAM / LayerStyle / 大型模型与这些设置无关,仍会占用各自的显存。 \n- 相关文件:`web/lc_performance_settings.js`、`web/lc_image_preview.js` \n\n---\n\n**\"True, nothing is. Permitted, everything is\"** \n— Yoda Auditore,《Assassin's Wars》" + ], + "color": "#dc6947", + "bgcolor": "#c85533" + }, + { + "id": 2803, + "type": "CivitaiResourcesToHashMetadata", + "pos": [ + -4240, + -4050 + ], + "size": [ + 400, + 94 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 118, + "mode": 0, + "inputs": [ + { + "name": "loaded_loras", + "shape": 7, + "type": "STRING", + "link": null + } + ], + "outputs": [ + { + "name": "additional_hashes", + "type": "STRING", + "links": [ + 42405 + ] + }, + { + "name": "resolved", + "type": "STRING", + "links": null + }, + { + "name": "missing", + "type": "STRING", + "links": null + }, + { + "name": "resources_json", + "type": "STRING", + "links": null + } + ], + "title": "💳🧙", + "properties": { + "cnr_id": "comfyui-lora-tag-hash-metadata", + "ver": "2.0.2", + "Node name for S&R": "CivitaiResourcesToHashMetadata", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" 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+ "type": "IMAGE", + "link": 45577 + } + ], + "outputs": [ + { + "name": "image", + "type": "IMAGE", + "links": [ + 45538, + 45551 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "4ac98869e5f9ef0a5382ec86d105271257c09267", + "Node name for S&R": "LCVibrance", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "lc_preview_meta": [ + { + "filename": "lc_after_temp_pzpcf_00008_.png", + "subfolder": "", + "type": "temp" + } + ], + "lc_before_meta": [ + { + "filename": "lc_before_temp_pzpcf_00008_.png", + "subfolder": "", + "type": "temp" + } + ] + }, + "widgets_values": [ + 94.54541015625, + 0, + true, + 0.67 + ], + "color": "#324B4B", + "bgcolor": "#324B4B" + }, + { + "id": 3265, + "type": "MarkdownNote", + "pos": [ + -1430, + -1750 + ], + "size": [ + 730, + 1220 + ], + "flags": {}, + "order": 134, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "🎨 Post Processing Notes", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Instructions\n\n# 🛑🚫✋ I HIGHLY suggest that you fix the seed, run the pic, then don’t mess with anything before this so it doesn’t reprocess.\n\n## VRAM issues. See LC123 Performance Settings ⚙️ Note.\n\n### Node order (follow the chain top → bottom)\n\n**Smart Denoise (LCImageDenoise)**\n- Removes noise while trying to keep detail\n- Sigma: higher = smoother, lower = more detail\n- Threshold: how aggressive the denoise is\n- Radius Multiplier: higher for noisy images, lower for clean ones \n💡 Start gentle. Only raise values if the image is actually noisy.\n\n**Color Match (LCColorMatch)**\n- Matches colors to a reference image (usually Image 2)\n- Method: **adain** is the most common and stable\n- Strength: 0–1\n- **Skin protect:** reduces how hard the match hits skin regions (keep faces from shifting hue oddly) \n💡 Great for series consistency. No reference → node can bypass / pass through without erroring.\n\n**Bloom (LCBloom)**\n- Soft glow on bright areas (camera light bloom)\n- Intensity, threshold, and size controls \n💡 A little makes it dreamy. A lot makes it foggy.\n\n**Vignette (LCVignette)**\n- Darkens (or lightens) the edges\n- Amount, softness, and roundness \n💡 Soft vignette looks more natural than hard black borders.\n\n**Image RGB (LCImageRGB)**\n- Simple red / green / blue channel gain\n\n**Lift / Gamma / Gain (LCLiftGammaGain)**\n- Classic three-way color corrector\n- Lift = shadows · Gamma = midtones · Gain = highlights \n💡 This is where most “film look” color work happens.\n\n**Auto White Balance (LCAutoWhiteBalance)**\n- Tries to neutralize overall color cast\n- Method: “Shades of Gray” is usually safest \n💡 Effect is subtle — compare before/after.\n\n**Vibrance (LCVibrance)**\n- Boosts muted colors without destroying already-saturated areas\n- Kinder to skin than normal saturation\n- Vibrance + Saturation + Strength \n💡 Prefer this over regular saturation for portraits.\n\n**Chromatic Aberration (LCChromaticAberration)**\n- Shifts RGB channels for a 3-D / vintage lens look\n- Separate horizontal/vertical amounts for R, G, B \n💡 A little goes a long way. Try small opposite values (R +2, G –1, B –3).\n\n**Sharpen Pro (LCSharpenPro)**\n- **Photorealism-first** mid-tone clarity + edge sharpen (not “ink outline” by default)\n- **Clarity** = local structure · **Sharpen** = finer edge detail · **Strength** = overall mix vs original\n- **Halo** + auto-raise when sharpen is high · **Skin protect** for faces\n- Advanced: radius, blend mode, shadow / highlight protect\n- **Presets fill the sliders** (moving a slider → **Custom**):\n - **Realism:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **Art:** Lineart · Anime sharp \n💡 Start **Natural** or **Portrait** for influencers / NSFW realism. Raise clarity before sharpen. Use **Lineart / Anime sharp** only when you want deliberate edge punch.\n\n**Image Adjust (LCImageAdjust)**\n- Brightness, Contrast, Saturation, Sharpness, Blur\n- Brightness center = 0\n- Contrast & Saturation center = 1\n\n**LC Skin Beauty ✨**\n- See Skin Beauty ✨ markdown Note\n\n**Lens FX (LCLensFX)**\n- General lens distortion and optical effects \n💡 Pair with the next node for more realistic camera simulation.\n\n**Lens Profile (LCLensProfile)**\n- Applies real lens characteristics (e.g. Canon 50mm f/1.8)\n- Optional aberrations \n💡 Adds subtle optical imperfections that make AI images feel more photographic.\n\n**Film Stock B&W (LCFilmStockBW)**\n- Converts to black & white using real film responses\n- 50+ stocks (Ilford HP5+, Kodak Tri-X, Fuji Acros, etc.)\n- Strength + optional filter \n💡 Leave this off if you want to keep color.\n\n**Film Stock Color (LCFilmStockColor)**\n- Applies classic color film response (Ektachrome, Portra, etc.)\n- Strength is the main control \n💡 0.6–0.9 often looks more natural than full strength.\n\n**Film Grain (LCFilmGrain)**\n- Realistic film grain with lots of control\n- Power, scale, shadows/highlights, seed \n💡 Fixed seed keeps the grain consistent. Slightly more grain in shadows usually looks better.\n\n**Desaturate (LCImageDesaturate)**\n- Partial or full desaturation\n- Several methods (luminance Rec.709 is common) \n💡 Useful right before a LUT if you want a muted base.\n\n**Apply LUT (LCApplyLUT)**\n- Applies a 3D LUT (`.cube` file)\n- Strength 0–1 · Log option for certain LUTs\n- **Does not download LUTs from the internet.** \n Put `.cube` files in the folder below yourself (or keep whatever the pack may have **seeded once** from `assets/luts/` into `models/luts/` without overwriting files you already have).\n\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n💡 Free LUTs: freshluts.com. Strength **0.3–0.7** is often nicer than 1.0.\n\n**Image Crop (LCImageCrop)**\n- Inline crop tool\n- X / Y / Width / Height or free mode \n💡 Crop after all effects so you don’t lose edge treatments (vignette, bloom, etc.).\n\n**Text Overlay (LCTextOverlay)**\n- Adds text on the final image\n- Font, size, color, **alignment** (left / center / right), position, opacity\n- Applies on 2nd run\n\n**LC Watermark 💧 (LCWatermark)**\n- Dynamically adds any image as a watermark\n- Adjust size, location, and opacity\n- Applies on the 2nd run\n\n---\n\n## 使用说明\n\n# 🛑🚫✋ 强烈建议你先固定 seed,跑完图片,然后不要再动之前的任何设置,以免重新处理。\n\n## 显存(VRAM)相关问题。请参阅 LC123 Performance Settings ⚙️(性能设置说明)。\n\n### 节点顺序(按链条从上到下)\n\n**智能降噪 (LCImageDenoise)**\n- 在尽量保留细节的同时去除噪点\n- Sigma:数值高更平滑,低则保留更多细节\n- Threshold:控制降噪强度\n- Radius Multiplier:噪点多的图用高值,干净的图用低值 \n💡 从低数值开始。只有真正很噪的时候才提高。\n\n**颜色匹配 (LCColorMatch)**\n- 让当前图匹配参考图(通常是 Image 2)的色调\n- 方法:**adain** 最常用也最稳定\n- 强度:0–1\n- **皮肤保护 (Skin protect):** 减轻匹配对皮肤区域的力度,避免脸部色相被“拉偏” \n💡 做系列图统一肤色或情绪时很好用。没有参考图时可旁路/直通,不会报错。\n\n**光晕 (LCBloom)**\n- 给高光加柔和辉光,模拟相机过曝\n- 强度、阈值、大小 \n💡 少用一点很梦幻,多用就变雾了。\n\n**暗角 (LCVignette)**\n- 压暗(或提亮)边缘\n- 强度、柔和度、圆度 \n💡 柔和暗角比硬黑边自然得多。\n\n**RGB 调整 (LCImageRGB)**\n- 简单的红 / 绿 / 蓝通道增益\n\n**Lift / Gamma / Gain (LCLiftGammaGain)**\n- 经典三点校色\n- Lift = 阴影 · Gamma = 中间调 · Gain = 高光 \n💡 大部分“胶片感”颜色工作都在这里完成。\n\n**自动白平衡 (LCAutoWhiteBalance)**\n- 尝试中和整体色偏\n- 方法:“Shades of Gray” 通常最稳妥 \n💡 效果比较细微,记得对比前后。\n\n**自然饱和度 (LCVibrance)**\n- 提升不饱和颜色,对已经很艳的颜色和肤色更友好\n- 自然饱和度 + 饱和度 + 强度 \n💡 人像优先用这个,而不是普通饱和度。\n\n**色差 (LCChromaticAberration)**\n- 错开 RGB 通道,做出 3D / 复古镜头感\n- 可分别调整红、绿、蓝的水平和垂直偏移 \n💡 一点就够。可以试小相反数值(R +2,G –1,B –3)。\n\n**锐化专业版 (LCSharpenPro)**\n- **以真实感优先**的中调清晰度 + 边缘锐化(默认不是“描边/线稿感”)\n- **Clarity** = 局部结构 · **Sharpen** = 更细的边缘 · **Strength** = 与原图的混合比例\n- **Halo**,且锐化较高时会自动抬高 · **Skin protect** 保护脸部\n- 高级:半径、混合模式、阴影/高光保护\n- **预设会填充滑条**(一动滑条就变成 **Custom**):\n - **写实:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **艺术:** Lineart · Anime sharp \n💡 网红/写实/NSFW 先用 **Natural** 或 **Portrait**,先加 clarity 再加 sharpen。只有需要明显线感时才用 **Lineart / Anime sharp**。\n\n**图像调整 (LCImageAdjust)**\n- 亮度、对比度、饱和度、锐度、模糊\n- 亮度中心 = 0\n- 对比度与饱和度中心 = 1\n\n**LC Skin Beauty ✨**\n- 详见 Skin Beauty ✨ 的 Markdown 说明文档\n\n**镜头特效 (LCLensFX)**\n- 通用镜头畸变和光学效果 \n💡 和下一个节点一起用,模拟更真实的相机光学。\n\n**镜头配置文件 (LCLensProfile)**\n- 应用真实镜头特性(例如 Canon 50mm f/1.8)\n- 可选色差 \n💡 给 AI 图加一点真实光学瑕疵,照片感会强很多。\n\n**黑白胶片 (LCFilmStockBW)**\n- 用真实胶片光谱响应转黑白\n- 50+ 种胶片(Ilford HP5+、Kodak Tri-X、Fuji Acros 等)\n- 强度 + 可选滤镜 \n💡 想留彩色就关掉这个。\n\n**彩色胶片 (LCFilmStockColor)**\n- 应用经典彩色胶片响应(Ektachrome、Portra 等)\n- 强度是主要控制 \n💡 0.6–0.9 往往比满强度更自然。\n\n**胶片颗粒 (LCFilmGrain)**\n- 可精细控制的真实胶片颗粒\n- 强度、缩放、阴影/高光、种子 \n💡 固定种子可以让颗粒保持一致。阴影区域颗粒稍强通常更好看。\n\n**去饱和 (LCImageDesaturate)**\n- 部分或完全去饱和\n- 多种方法可选(luminance Rec.709 较常用) \n💡 在套 LUT 之前用,可以做出更柔和的基础色。\n\n**应用 LUT (LCApplyLUT)**\n- 套用 3D LUT(`.cube` 文件)\n- 强度 0–1 · Log 选项(部分 LUT 需要)\n- **不会从网上自动下载 LUT。** \n 请自行把 `.cube` 放到下面的目录(或保留节点包可能从 `assets/luts/` **一次性拷贝**到 `models/luts/` 的文件;**不会覆盖**你已有的同名文件)。\n\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n💡 免费 LUT:freshluts.com。强度 **0.3–0.7** 通常比 1.0 更好看。\n\n**裁剪 (LCImageCrop)**\n- 内联裁剪工具\n- X / Y / 宽 / 高 或 free 模式 \n💡 所有效果做完再裁,才不会丢掉边缘处理(暗角、光晕等)。\n\n**文字叠加 (LCTextOverlay)**\n- 在最终图上加文字\n- 字体、大小、颜色、**对齐**(左 / 中 / 右)、位置、透明度\n- 第 2 次运行时应用\n\n**LC 水印 💧(LCWatermark)**\n- 可动态将任意图片添加为水印\n- 可调节大小、位置和透明度\n- 第 2 次运行时应用效果\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3266, + "type": "PreviewImage", + "pos": [ + -1320, + -440 + ], + "size": [ + 440, + 640 + ], + "flags": {}, + "order": 320, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 45578 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": [ + 45579 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.31.0", + "Node name for S&R": "PreviewImage", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": 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I typically generate the entire image and make adjustments with the detailer prompt\n- **detailer prompt:** \"green eyes\", \"ring on finger\", nose piercing\", \"red lipstick\".\n- **feather** 8-12\n- **denoise** set lower than what you are used to for other detailers. 0.3 -0.5\n- **blend strength** this is how much overlay or blend it has with the original image. Lower values mean less inpainted image. *💡 change this with denoise (make one higher while lowering the other) to get better results.* \n\n\n\n\n\n### Sam3 nodes\n\n- **prompt:** \"face\", \"eyes\", \"woman face\", \"scarf\", etc.\n- text_threshold: 0.25–0.35 (lower = more sensitive).\n- min_mask_area: 0.001 (lower for tiny/distant objects).\n- crop_padding: 64–128 pixels.\n- mask_dilation: 6–10 (thickens mask to avoid holes).\n- inpaint_resolution: 768+ (higher = better detail).\n- denoise: 0.4–0.6 (subtle changes).\n- blend_mode: \"feather\" (smooth edges).\n- 💡**For small faces:** Lower min_mask_area/text_threshold, increase padding/resolution.\n\n---\n\n\n### 使用说明:\n- 你可以加载 LoRA,但**我很少使用**。我通常先生成整张图像,然后用 detailer prompt 进行细节调整。\n- **detailer prompt 示例**:\"green eyes\", \"ring on finger\", \"nose piercing\", \"red lipstick\"。\n\n- **feather** 8-12 \n- **denoise** 设置比你平时在其他 detailer 中使用的值更低。0.3 - 0.5 \n- **blend strength** 0.75 - 1.0 \n 这是与原始图像的叠加或混合程度。数值越低,修复后的图像占比越小。 \n *💡 将此参数与 denoise 配合调整(一个调高、另一个调低)可获得更好的效果。*\n\n\n\n\n### SAM3 SmartInpainter 节点\n- **prompt**: \"face\", \"eyes\", \"woman face\", \"scarf\" 等。\n- **text_threshold**:0.25–0.35(数值越低越敏感)。\n- **min_mask_area**:0.001(对微小或远处物体可调低)。\n- **crop_padding**:64–128 像素。\n- **mask_dilation**:6–10(加厚遮罩,防止出现空洞)。\n- **inpaint_resolution**:768 以上(越高细节越好)。\n- **denoise**:0.4–0.6(数值越低调整越细微)。\n- **blend_mode**:\"feather\"(羽化边缘,过渡自然)。\n\n- 💡**处理小脸/远距离人脸**:降低 `min_mask_area` 和 `text_threshold`,增加 `crop_padding` 和 `inpaint_resolution`。\n\n\n\n\n" + ], + "widgets_values_named": { + "text": "### Instructions:\n- You can use a LoRA if you want, butI rearly do. I typically generate the entire image and make adjustments with the detailer prompt\n- **detailer prompt:** \"green eyes\", \"ring on finger\", nose piercing\", \"red lipstick\".\n- **feather** 8-12\n- **denoise** set lower than what you are used to for other detailers. 0.3 -0.5\n- **blend strength** this is how much overlay or blend it has with the original image. Lower values mean less inpainted image. *💡 change this with denoise (make one higher while lowering the other) to get better results.* \n\n\n\n\n\n### Sam3 nodes\n\n- **prompt:** \"face\", \"eyes\", \"woman face\", \"scarf\", etc.\n- text_threshold: 0.25–0.35 (lower = more sensitive).\n- min_mask_area: 0.001 (lower for tiny/distant objects).\n- crop_padding: 64–128 pixels.\n- mask_dilation: 6–10 (thickens mask to avoid holes).\n- inpaint_resolution: 768+ (higher = better detail).\n- denoise: 0.4–0.6 (subtle changes).\n- blend_mode: \"feather\" (smooth edges).\n- 💡**For small faces:** Lower min_mask_area/text_threshold, increase padding/resolution.\n\n---\n\n\n### 使用说明:\n- 你可以加载 LoRA,但**我很少使用**。我通常先生成整张图像,然后用 detailer prompt 进行细节调整。\n- **detailer prompt 示例**:\"green eyes\", \"ring on finger\", \"nose piercing\", \"red lipstick\"。\n\n- **feather** 8-12 \n- **denoise** 设置比你平时在其他 detailer 中使用的值更低。0.3 - 0.5 \n- **blend strength** 0.75 - 1.0 \n 这是与原始图像的叠加或混合程度。数值越低,修复后的图像占比越小。 \n *💡 将此参数与 denoise 配合调整(一个调高、另一个调低)可获得更好的效果。*\n\n\n\n\n### SAM3 SmartInpainter 节点\n- **prompt**: \"face\", \"eyes\", \"woman face\", \"scarf\" 等。\n- **text_threshold**:0.25–0.35(数值越低越敏感)。\n- **min_mask_area**:0.001(对微小或远处物体可调低)。\n- **crop_padding**:64–128 像素。\n- **mask_dilation**:6–10(加厚遮罩,防止出现空洞)。\n- **inpaint_resolution**:768 以上(越高细节越好)。\n- **denoise**:0.4–0.6(数值越低调整越细微)。\n- **blend_mode**:\"feather\"(羽化边缘,过渡自然)。\n\n- 💡**处理小脸/远距离人脸**:降低 `min_mask_area` 和 `text_threshold`,增加 `crop_padding` 和 `inpaint_resolution`。\n\n\n\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2994, + "type": "LCBatchImageComparer", + "pos": [ + -1570, + -2600 + ], + "size": [ + 440, + 550 + ], + "flags": { + "pinned": true + }, + "order": 255, + "mode": 4, + "inputs": [ + { + "name": "image_a", + "shape": 7, + "type": "IMAGE", + "link": 43804 + }, + { + "name": "image_b", + "shape": 7, + "type": "IMAGE", + "link": 43805 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCBatchImageComparer", + "comparer_mode": "Slide", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#325A5A", + "bgcolor": "#325A5A" + }, + { + "id": 2749, + "type": "MarkdownNote", + "pos": [ + -3470, + -2940 + ], + "size": [ + 290, + 270 + ], + "flags": { + "pinned": true + }, + "order": 41, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "B&W Color Add notes / 说明", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "### Instructions\n- Process your image as you normally would in color\n- enter simple single word prompts, seperated by commas\n- increase the color as needed\n- adjust saturation and brigtness as needed\n\n**Black & White point**\n- the point where it srarts and stops looking for colors\n - low black and high white are wide\n - acts like detection in a SAM or Dino model\n\n**trimap_erode**\n- acts to make the mask transparant.\n - 50 is middle\n - 0 is solid\n\n**trimap dialate**\n- softens the edges by making them transparant\n- fine balance between this and erode\n - 100 is middle\n - over 150 does nothing\n\n\n---\n\n### 说明\n- 像平常一样以彩色方式处理你的图像\n- 输入简单的单个单词提示,用逗号分隔\n- 根据需要增加颜色\n- 根据需要调整饱和度和亮度\n\n**黑点与白点**\n- 图像开始和停止寻找颜色的阈值点\n - 低黑点和高白点范围较宽\n - 作用类似于 SAM 或 Dino 模型中的检测机制\n\n**trimap_erode**\n\n- 用于使遮罩(mask)变得透明。\n - 50 为中间值(中等透明度)\n - 0 为完全不透明(实心)\n\n**Trimap 膨胀(Dilate**\n\n- 通过让边缘变得透明来柔化边缘\n- 需要与 侵蚀(Erode) 精细平衡使用\n - 100 为中间平衡值\n - 超过 150 则不再产生效果\n\n" + ], + "widgets_values_named": { + "text": "### Instructions\n- Process your image as you normally would in color\n- enter simple single word prompts, seperated by commas\n- increase the color as needed\n- adjust saturation and brigtness as needed\n\n**Black & White point**\n- the point where it srarts and stops looking for colors\n - low black and high white are wide\n - acts like detection in a SAM or Dino model\n\n**trimap_erode**\n- acts to make the mask transparant.\n - 50 is middle\n - 0 is solid\n\n**trimap dialate**\n- softens the edges by making them transparant\n- fine balance between this and erode\n - 100 is middle\n - over 150 does nothing\n\n\n---\n\n### 说明\n- 像平常一样以彩色方式处理你的图像\n- 输入简单的单个单词提示,用逗号分隔\n- 根据需要增加颜色\n- 根据需要调整饱和度和亮度\n\n**黑点与白点**\n- 图像开始和停止寻找颜色的阈值点\n - 低黑点和高白点范围较宽\n - 作用类似于 SAM 或 Dino 模型中的检测机制\n\n**trimap_erode**\n\n- 用于使遮罩(mask)变得透明。\n - 50 为中间值(中等透明度)\n - 0 为完全不透明(实心)\n\n**Trimap 膨胀(Dilate**\n\n- 通过让边缘变得透明来柔化边缘\n- 需要与 侵蚀(Erode) 精细平衡使用\n - 100 为中间平衡值\n - 超过 150 则不再产生效果\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2993, + "type": "LCStop", + "pos": [ + -3720, + -2940 + ], + "size": [ + 240, + 50 + ], + "flags": { + "pinned": true + }, + "order": 139, + "mode": 4, + 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Right now leave it at depth\n\n- **LoRA strength** seems to work best at 1.0\n\n**Krea2 Control Image Encode:**\n- I have it set for \"Match Image Latent\", which automatically resizes it per the workflow size. \n- Crop and other settings are not needed unless you override the latent. \n\n---\n\n### 🥅 ControlNet 使用笔记:\n\n## ⚠️ 🖼️ 必须开启 “Load Image & I2I” 节点!🖼️\n\n[Krea 2 ControlNet 节点](https://github.com/facok/comfyui-krea2-controlnet)\n\n**ControlNet LoRA**\n- [Krea 2 Depth ControlNet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n- 截至 2026 年 7 月 7 日,目前仅支持 **Depth** 模型,未来随着模型更新可能会有更多选项。\n\n**⚙️ 设置推荐**\n- **AIO Preprocessor**:目前建议保持为 **depth**(后续模型更新后可能增加更多选项)\n- **LoRA 强度**:1.0 效果最佳\n\n**Krea2 Control Image Encode:**\n- 推荐设置为 **“Match Image Latent”**,会根据工作流尺寸自动调整分辨率。\n- 除非你手动覆盖 latent,否则不需要开启 Crop 等其他设置。\n" + ], + "widgets_values_named": { + "text": "### 🥅 Controlnet Notes:\n\n## ⚠️ 🖼️Load Image & I2I🖼️ must be on!\n\n[Krea 2 controlnet nodes](https://github.com/facok/comfyui-krea2-controlnet)\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n- I am assuming that as this model advances, there will be more as of July 7th, 2026, only Depth is available.\n\n\n**⚙️ settings**\n- **AIO Preprocessor**: again, I assume this model will get more options. Right now leave it at depth\n\n- **LoRA strength** seems to work best at 1.0\n\n**Krea2 Control Image Encode:**\n- I have it set for \"Match Image Latent\", which automatically resizes it per the workflow size. \n- Crop and other settings are not needed unless you override the latent. \n\n---\n\n### 🥅 ControlNet 使用笔记:\n\n## ⚠️ 🖼️ 必须开启 “Load Image & I2I” 节点!🖼️\n\n[Krea 2 ControlNet 节点](https://github.com/facok/comfyui-krea2-controlnet)\n\n**ControlNet LoRA**\n- [Krea 2 Depth ControlNet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n- 截至 2026 年 7 月 7 日,目前仅支持 **Depth** 模型,未来随着模型更新可能会有更多选项。\n\n**⚙️ 设置推荐**\n- **AIO Preprocessor**:目前建议保持为 **depth**(后续模型更新后可能增加更多选项)\n- **LoRA 强度**:1.0 效果最佳\n\n**Krea2 Control Image Encode:**\n- 推荐设置为 **“Match Image Latent”**,会根据工作流尺寸自动调整分辨率。\n- 除非你手动覆盖 latent,否则不需要开启 Crop 等其他设置。\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2720, + "type": "KreaMoodboardVisualBrowser", + 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If your seams look fine, leave this off.\n\n\n**Low VRAM helper**\n- Set the **image size/x** slider from 1.5-2 and \n- Change **tiled_decode** (at bottom) to \"true\" if it's choking your VRam out. \n\n- ⚠️It will double the amount of tiles you use, so extend processing time and also sacrifice a (little bit) of quality.\n\n\n---\n\n**设置:**\n\n**降噪强度 (Denoise):** 0.20 到 0.35(最大值)\n- 超过 0.40 会给模型过多的自由度,让它在单个 tile 内“凭空创造”新的主体。\n- 如果在 0.30 到 0.35 时仍然出现幻觉(hallucinations),请降低到 0.20 - 0.28。\n\n**Tile Padding(瓦片填充):** 128 到 512\n- 填充值允许每个瓦片“看到”周围区域的部分内容。\n- 如果填充不足,包含衣袖的瓦片就无法感知到里面有手臂,可能会把布料错误地生成新的面部。\n\n**Seam Fix Mode(接缝修复模式):** None 或 Band Pass\n- ⚠️ 使用 “Half Tile” 或 “Area” 接缝修复有时会使幻觉出现的概率翻倍,因为它们会在交叉区域进行第二次处理。如果接缝已经看起来不错,请保持关闭。\n\n**Low VRAM helper(低显存辅助)**\n- 将 **image size/x** 滑块设置为 1.5-2,并\n- 如果显存吃紧,请把底部的 **tiled_decode** 改为 “true”。\n- ⚠️ 这会使瓦片数量翻倍,从而延长处理时间,并略微牺牲一点画质。" + ], + "widgets_values_named": { + "text": "## Settings:\n\n**Denoise:** 0.20 to 0.35 (Max)\n- Anything above 0.40 gives the model too much freedom to \"invent\" new subjects inside a tile. \n- If you still see hallucinations at 0.30 to 0.35, drop to 0.20 - 0.28.\n\n**Tile Padding:** 128 to 512\n\n- Padding allows each tile to \"see\" a bit of the surrounding area. \n- Without enough padding, a tile containing a sleeve doesn't know there is an arm inside it, so it might turn the fabric into a new face.\n\n**Seam Fix Mode:** None or Band Pass\n- ⚠️ Using \"Half Tile\" or \"Area\" seam fixes can sometimes double the chances of hallucinations because they create a second pass over the intersections. If your seams look fine, leave this off.\n\n\n**Low VRAM helper**\n- Set the **image size/x** slider from 1.5-2 and \n- Change **tiled_decode** (at bottom) to \"true\" if it's choking your VRam out. \n\n- ⚠️It will double the amount of tiles you use, so extend processing time and also sacrifice a (little bit) of quality.\n\n\n---\n\n**设置:**\n\n**降噪强度 (Denoise):** 0.20 到 0.35(最大值)\n- 超过 0.40 会给模型过多的自由度,让它在单个 tile 内“凭空创造”新的主体。\n- 如果在 0.30 到 0.35 时仍然出现幻觉(hallucinations),请降低到 0.20 - 0.28。\n\n**Tile Padding(瓦片填充):** 128 到 512\n- 填充值允许每个瓦片“看到”周围区域的部分内容。\n- 如果填充不足,包含衣袖的瓦片就无法感知到里面有手臂,可能会把布料错误地生成新的面部。\n\n**Seam Fix Mode(接缝修复模式):** None 或 Band Pass\n- ⚠️ 使用 “Half Tile” 或 “Area” 接缝修复有时会使幻觉出现的概率翻倍,因为它们会在交叉区域进行第二次处理。如果接缝已经看起来不错,请保持关闭。\n\n**Low VRAM helper(低显存辅助)**\n- 将 **image size/x** 滑块设置为 1.5-2,并\n- 如果显存吃紧,请把底部的 **tiled_decode** 改为 “true”。\n- ⚠️ 这会使瓦片数量翻倍,从而延长处理时间,并略微牺牲一点画质。" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2868, + "type": "mxSlider", + "pos": [ + -3070, + -4740 + ], + "size": [ + 230, + 30 + ], + "flags": { + "pinned": true + }, + "order": 60, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "", + "type": "FLOAT", + "links": [ + 42569 + ] + } + ], + "title": "Upscale Factor", + "properties": { + "cnr_id": "comfyui-mxtoolkit", + "ver": "0.9.92", + "Node name for S&R": "mxSlider", + "value": 2, + "min": 0.5, + "max": 4, + "step": 0.25, + "decimals": 2, + "snap": true, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "widgets_values": [ + 2, + 2, + 1 + ], + "widgets_values_named": { + "Xi": 2, + "Xf": 2, + "isfloatX": 1 + }, + "color": "#aa5f46", + "bgcolor": "#964b32" + }, + { + "id": 2864, + "type": "Fast Groups Bypasser (rgthree)", + "pos": [ + -3070, + -4670 + ], + "size": [ + 230, + 60 + ], + "flags": { + "pinned": true + }, + "order": 61, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "title": "Psst...over here 🤫", + "properties": { + "matchColors": "", + "matchTitle": "Seed VR2 Upscale", + "showNav": false, + "showAllGraphs": true, + "sort": "position", + "customSortAlphabet": "", + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#c3782d", + "bgcolor": "#af6419" + }, + { + "id": 2865, + "type": "MarkdownNote", + "pos": [ + -3070, + -4570 + ], + "size": [ + 230, + 220 + ], + "flags": { + "pinned": true + }, + "order": 62, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "🛑⚠️Super Important", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.6.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Settings\n### Low Vram\n**DIT Model**\n- GGUF model\n- blocks to swap = 36\n- offload to cpu\n\n**VAE**\n- encode & decode tiled = both true\n- encode & decode tile size = 928\n- encode & decode Tile overlap = 96\n- Offload device = CPU\n\n**Max Resolution = 4098**\n\n### High VRAm (16gb or above)\n**DIT Model**\n- FP8 or FP16 \n- blocks to swap = lower the number the better \n- offload = none\n\n**VAE**\n- encode & decode tiled = false\n- encode & decode tile size = 1024\n- encode & decode Tile overlap = 128\n- Offload device = None\n\n**Max Resolution (increase to what you want)**\n\n---\n\n## 設定\n\n### 低顯存模式 (Low VRAM)\n\n**DIT 模型**\n- 使用 GGUF 模型\n- 區塊換出數量 (blocks to swap) = 36\n- 卸載到 CPU (offload to cpu)\n\n**VAE**\n- 編碼與解碼使用分塊處理 (encode & decode tiled) = 兩者皆開啟 (true)\n- 編碼與解碼分塊大小 (tile size) = 928\n- 編碼與解碼分塊重疊區域 (Tile overlap) = 96\n- 卸載裝置 (Offload device) = CPU\n\n**最大解析度 = 4098**\n\n### 高顯存模式 (16GB 或以上)\n\n**DIT 模型**\n- 使用 FP8 或 FP16\n- 區塊換出數量 (blocks to swap) = 數值越低越好\n- 卸載設定 (offload) = 關閉 (none)\n\n**VAE**\n- 編碼與解碼使用分塊處理 (encode & decode tiled) = 關閉 (false)\n- 編碼與解碼分塊大小 (tile size) = 1024\n- 編碼與解碼分塊重疊區域 (Tile overlap) = 128\n- 卸載裝置 (Offload device) = 無 (None)\n\n**最大解析度** \n(可依需求自行提高到你想要的數值)\n```\n\n" + ], + "widgets_values_named": { + "text": "## Settings\n### Low Vram\n**DIT Model**\n- GGUF model\n- blocks to swap = 36\n- offload to cpu\n\n**VAE**\n- encode & decode tiled = both true\n- encode & decode tile size = 928\n- encode & decode Tile overlap = 96\n- Offload device = CPU\n\n**Max Resolution = 4098**\n\n### High VRAm (16gb or above)\n**DIT Model**\n- FP8 or FP16 \n- blocks to swap = lower the number the better \n- offload = none\n\n**VAE**\n- encode & decode tiled = false\n- encode & decode tile size = 1024\n- encode & decode Tile overlap = 128\n- Offload device = None\n\n**Max Resolution (increase to what you want)**\n\n---\n\n## 設定\n\n### 低顯存模式 (Low VRAM)\n\n**DIT 模型**\n- 使用 GGUF 模型\n- 區塊換出數量 (blocks to swap) = 36\n- 卸載到 CPU (offload to cpu)\n\n**VAE**\n- 編碼與解碼使用分塊處理 (encode & decode tiled) = 兩者皆開啟 (true)\n- 編碼與解碼分塊大小 (tile size) = 928\n- 編碼與解碼分塊重疊區域 (Tile overlap) = 96\n- 卸載裝置 (Offload device) = CPU\n\n**最大解析度 = 4098**\n\n### 高顯存模式 (16GB 或以上)\n\n**DIT 模型**\n- 使用 FP8 或 FP16\n- 區塊換出數量 (blocks to swap) = 數值越低越好\n- 卸載設定 (offload) = 關閉 (none)\n\n**VAE**\n- 編碼與解碼使用分塊處理 (encode & decode tiled) = 關閉 (false)\n- 編碼與解碼分塊大小 (tile size) = 1024\n- 編碼與解碼分塊重疊區域 (Tile overlap) = 128\n- 卸載裝置 (Offload device) = 無 (None)\n\n**最大解析度** \n(可依需求自行提高到你想要的數值)\n```\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2538, + "type": "AILab_QwenVL_GGUF_PromptEnhancer", + "pos": [ + -5620, + -4390 + ], + "size": [ + 270, + 470 + ], + "flags": { + "pinned": true + }, + "order": 196, + "mode": 0, + "inputs": [ + { + "name": "prompt_text", + "type": "STRING", + "widget": { + "name": "prompt_text" + }, + "link": 43856 + }, + { + "name": "custom_system_prompt", + "type": "STRING", + "widget": { + "name": "custom_system_prompt" + }, + "link": 43999 + }, + { + "name": "seed", + "type": "INT", + "widget": { + "name": "seed" + }, + "link": 25599 + } + ], + "outputs": [ + { + "name": "ENHANCED_OUTPUT", + "type": "STRING", + "links": [ + 43840, + 43843 + ] + } + ], + "title": "Qwen 📝🪄", + "properties": { + "aux_id": "huchukato/ComfyUI-QwenVL-Mod", + "Node name for S&R": "AILab_QwenVL_GGUF_PromptEnhancer", + "ver": "e83e7de1f6291fdd992c2be3538958b201d4b2fc", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "Qwen3-4B-Q8_0.gguf", + "", + "📝 Detailed Visual", + "", + 1024, + 0.8, + 0.9, + 1.1, + false, + "auto", + true, + 998132314 + ], + "widgets_values_named": { + "model_name": "Qwen3-4B-Q8_0.gguf", + "prompt_text": "", + "preset_system_prompt": "📝 Detailed Visual", + "custom_system_prompt": "", + "max_tokens": 1024, + "temperature": 0.8, + "top_p": 0.9, + "repetition_penalty": 1.1, + "english_output": false, + "device": "auto", + "seed": true, + "control_after_generate": 998132314 + }, + "color": "#374445", + "bgcolor": "#474539" + }, + { + "id": 1275, + "type": "GetNode", + "pos": [ + -4240, + -4610 + ], + "size": [ + 210, + 50 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 63, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43854 + ] + } + ], + "title": "Get_Prompt Tag", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Prompt Tag" + ], + "widgets_values_named": { + "Constant": "Prompt Tag" + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 2724, + "type": "String", + "pos": [ + -5700, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 64, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43992, + 43995 + ] + } + ], + "title": "Photographic", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "You are a senior Visual Art Director and high-end fashion photography aesthetics expert. Your task is to take the user's short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate artistic beauty, premium cinematic quality, and strong visual tension.\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject cheap influencer aesthetics and create classic, timeless, story-rich artistic images.\n- Create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, etc.) for dramatic visual tension.\n- Give the character graceful poise with emotionally compelling expression, gaze, and posture that conveys serenity, elegance, depth, or poetic feeling.\n- fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional bone structure and facial proportions, deep clear soulful eyes full of story, elegant and serene expression radiating unique high-end aura.\n- **Composition & Artistic Poise**: Classic aesthetic composition using golden ratio or diagonal lines, graceful body posture with elegant extension in hands, shoulders, and neck lines.\n- **Luminous Skin & Delicate Texture**: Healthy translucent luminous skin with subtle satin finish and gentle highlights, fine realistic skin texture that looks refined yet authentic.\n- **Premium Styling & Fabrics**: Luxurious materials such as silk, cashmere, and lace. Rich description of fabric drape, folds, and how light interacts with the fibers.\n- **Hair & Flow**: Natural volume with silky soft sheen, scattered stray hairs and gentle breeze movement for dynamic beauty.\n- **Masterful Lighting**: Highly atmospheric lighting with rim light, soft diffused natural light, or dramatic cool/warm contrast. Light should perfectly sculpt the character's contours and facial dimensionality.\n- **Cinematic Background & Palette**: Artistic, heavily blurred background with beautiful bokeh and shallow depth of field. Colors should complement the subject. Use sophisticated palettes such as Morandi tones, retro film grading, or low-saturation cool/warm contrast.\n- **Aesthetic Keywords**: editorial portrait, cinematic light and shadow, award-winning photography, elegant atmosphere, delicate details, poetic mood.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, texture, and form. Avoid generic compliments. Make every part vivid and cinematic.\n\nOutput only the final expanded prompt. Do not add any explanations or extra text." + ], + "widgets_values_named": { + "String": "You are a senior Visual Art Director and high-end fashion photography aesthetics expert. Your task is to take the user's short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate artistic beauty, premium cinematic quality, and strong visual tension.\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject cheap influencer aesthetics and create classic, timeless, story-rich artistic images.\n- Create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, etc.) for dramatic visual tension.\n- Give the character graceful poise with emotionally compelling expression, gaze, and posture that conveys serenity, elegance, depth, or poetic feeling.\n- fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional bone structure and facial proportions, deep clear soulful eyes full of story, elegant and serene expression radiating unique high-end aura.\n- **Composition & Artistic Poise**: Classic aesthetic composition using golden ratio or diagonal lines, graceful body posture with elegant extension in hands, shoulders, and neck lines.\n- **Luminous Skin & Delicate Texture**: Healthy translucent luminous skin with subtle satin finish and gentle highlights, fine realistic skin texture that looks refined yet authentic.\n- **Premium Styling & Fabrics**: Luxurious materials such as silk, cashmere, and lace. Rich description of fabric drape, folds, and how light interacts with the fibers.\n- **Hair & Flow**: Natural volume with silky soft sheen, scattered stray hairs and gentle breeze movement for dynamic beauty.\n- **Masterful Lighting**: Highly atmospheric lighting with rim light, soft diffused natural light, or dramatic cool/warm contrast. Light should perfectly sculpt the character's contours and facial dimensionality.\n- **Cinematic Background & Palette**: Artistic, heavily blurred background with beautiful bokeh and shallow depth of field. Colors should complement the subject. Use sophisticated palettes such as Morandi tones, retro film grading, or low-saturation cool/warm contrast.\n- **Aesthetic Keywords**: editorial portrait, cinematic light and shadow, award-winning photography, elegant atmosphere, delicate details, poetic mood.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, texture, and form. Avoid generic compliments. Make every part vivid and cinematic.\n\nOutput only the final expanded prompt. Do not add any explanations or extra text." + }, + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 2725, + "type": "String", + "pos": [ + -5430, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 65, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43991, + 43996 + ] + } + ], + "title": "Realistic", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "You are a professional-grade photography prompt generator. Your task is to expand the user's short input into an extremely realistic, cinematic, film-grade prompt for image generation models.\n\n**Strict Rules to Follow:**\n\nGenerate a highly believable natural person with strong real-life presence. The face must be non-template, non-influencer, and non-AI plastic. Use natural facial structure with natural bone structure, non-exaggerated proportions, and authentic skin texture.\n\nApply a slight candid lifestyle feel with realistic lens perspective. Avoid ID photo or obvious studio shot looks.\n\n**Skin is the core focus:** Present unretouched raw film texture. Include visible real pores (especially nose wings, cheeks, forehead), slight oiliness and subtle blackheads on the nose, light uneven powder, fine under-eye lines and slight darkness, clear natural lip lines, small imperfections (tiny moles, vellus hair, color variations), and subtle oil sheen on forehead/nose tip. Strictly forbid plastic, smooth AI skin. The skin must look real but beautiful — healthy, not rough or dirty.\n\n**Hair:** Natural parting, stray hairs and flyaways, distinct individual strands (never clumped or blurred), some light strands sticking to the face. Forbid wig-like or overly smooth advertising hair.\n\n**Lighting:** Natural diffused overcast daylight or soft window light. No strong studio lighting. Keep realistic environmental exposure with slight contrast allowed to preserve details.\n\n**Scene:** Shallow depth of field with blurred background. Use everyday life scenes such as café, street view, or indoor settings. The background must feel real but not steal focus from the subject.\n\n**Strictly Prohibited:** ID photo style, commercial studio retouching, excessive skin smoothing, plastic skin, cartoonish or illustrative style, exaggerated facial feature reshaping.\n\n**Final Output:** Only output one continuous, high-quality prompt paragraph in a single cinematic-grade description. Do not add explanations or extra text." + ], + "widgets_values_named": { + "String": "You are a professional-grade photography prompt generator. Your task is to expand the user's short input into an extremely realistic, cinematic, film-grade prompt for image generation models.\n\n**Strict Rules to Follow:**\n\nGenerate a highly believable natural person with strong real-life presence. The face must be non-template, non-influencer, and non-AI plastic. Use natural facial structure with natural bone structure, non-exaggerated proportions, and authentic skin texture.\n\nApply a slight candid lifestyle feel with realistic lens perspective. Avoid ID photo or obvious studio shot looks.\n\n**Skin is the core focus:** Present unretouched raw film texture. Include visible real pores (especially nose wings, cheeks, forehead), slight oiliness and subtle blackheads on the nose, light uneven powder, fine under-eye lines and slight darkness, clear natural lip lines, small imperfections (tiny moles, vellus hair, color variations), and subtle oil sheen on forehead/nose tip. Strictly forbid plastic, smooth AI skin. The skin must look real but beautiful — healthy, not rough or dirty.\n\n**Hair:** Natural parting, stray hairs and flyaways, distinct individual strands (never clumped or blurred), some light strands sticking to the face. Forbid wig-like or overly smooth advertising hair.\n\n**Lighting:** Natural diffused overcast daylight or soft window light. No strong studio lighting. Keep realistic environmental exposure with slight contrast allowed to preserve details.\n\n**Scene:** Shallow depth of field with blurred background. Use everyday life scenes such as café, street view, or indoor settings. The background must feel real but not steal focus from the subject.\n\n**Strictly Prohibited:** ID photo style, commercial studio retouching, excessive skin smoothing, plastic skin, cartoonish or illustrative style, exaggerated facial feature reshaping.\n\n**Final Output:** Only output one continuous, high-quality prompt paragraph in a single cinematic-grade description. Do not add explanations or extra text." + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 2723, + "type": "String", + "pos": [ + -5970, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 66, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43993, + 43994 + ] + } + ], + "title": "Generic", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "You are an expert prompt engineer for text-to-image models. Your task is to expand the user's prompt into a highly effective image-generation prompt.\nThink step by step about the request before writing the answer:\n\nWhat is the subject and mood?\nWhat visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\nWhat composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\nFollow these rules strictly:\n\nFaithfulness First: Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\nPractical T2I Structure: Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\nStyle Planning Stays Internal: Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\nText Rendering: If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\nAvoid Over-Specification: Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\nStructure: Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\nRespect Existing Detail: If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding — preserve their phrasing and direction.\nNSFW Support: Fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\nPreserve User Medium: When the user explicitly requests a medium (e.g. \"photo of\", \"photograph of\", \"illustration of\", \"painting of\", \"sketch of\", \"3D render of\"), honor it. Do not pivot to a different medium to avoid difficulty — match the user's stated intent.\n- when \"photorealistic\" is requested, create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, etc.) for dramatic visual tension." + ], + "widgets_values_named": { + "String": "You are an expert prompt engineer for text-to-image models. Your task is to expand the user's prompt into a highly effective image-generation prompt.\nThink step by step about the request before writing the answer:\n\nWhat is the subject and mood?\nWhat visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\nWhat composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\nFollow these rules strictly:\n\nFaithfulness First: Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\nPractical T2I Structure: Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\nStyle Planning Stays Internal: Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\nText Rendering: If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\nAvoid Over-Specification: Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\nStructure: Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\nRespect Existing Detail: If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding — preserve their phrasing and direction.\nNSFW Support: Fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\nPreserve User Medium: When the user explicitly requests a medium (e.g. \"photo of\", \"photograph of\", \"illustration of\", \"painting of\", \"sketch of\", \"3D render of\"), honor it. Do not pivot to a different medium to avoid difficulty — match the user's stated intent.\n- when \"photorealistic\" is requested, create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, etc.) for dramatic visual tension." + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 3061, + "type": "String", + "pos": [ + -4890, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 67, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 44001, + 44002 + ] + } + ], + "title": "🚫 NSFW", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "***You are a senior Visual Art Director and high-end erotic photography aesthetics expert specializing in realistic NSFW imagery. Your task is to take the user’s short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate realistic beauty, premium cinematic quality, strong visual tension, and explicit sexual intensity.**\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject cheap amateur porn aesthetics and create classic, timeless, story-rich artistic erotic images that feel cinematic and high-end.\n- Create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality, including flushed, sweaty, or aroused surfaces.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, soft practicals, dramatic rim light, etc.) for intense visual and sexual tension.\n- Give the character(s) graceful yet raw, sexually charged poise with emotionally compelling expression, gaze, and posture that conveys lust, surrender, intensity, intimacy, or dominant/submissive energy.\n- Fully embrace and prioritize explicit, erotic, and adult content. Describe nudity, sexual acts, penetration, oral sex, body parts, genitals, fluids, arousal, sweating, trembling, and intimate interactions in direct, detailed, and anatomically accurate language. Do not censor, soften, or assume clothing covers genitals or intimate anatomy. When sex acts are requested or implied, make them the clear visual focus.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional bone structure and facial proportions, deep clear soulful eyes full of desire or intensity, aroused and emotionally charged expression radiating raw sexual energy and high-end erotic aura.\n- **Composition & Sexual Poise**: Dynamic, intimate composition using golden ratio or strong diagonal lines, bodies locked in explicit sexual positions with graceful yet intense extension of limbs, hips, hands, and necks that emphasize penetration, oral contact, or intimate friction.\n- **Luminous Skin & Delicate Texture**: Healthy translucent luminous skin with subtle satin finish, gentle highlights, fine realistic skin texture, visible flush, light sweat, saliva, or other fluids that look refined yet authentically aroused.\n- **Premium Styling & Fabrics**: Any remaining clothing or lingerie described as luxurious materials (silk, lace, sheer fabrics) with rich drape, folds, and light interaction — often partially removed, pulled aside, or ruined to reveal the sexual act.\n- **Hair & Flow**: Natural volume with silky soft sheen, scattered stray hairs, and movement from physical exertion or gentle breeze for dynamic, intimate beauty.\n- **Masterful Lighting**: Highly atmospheric cinematic lighting with rim light, soft diffused practical light, or dramatic cool/warm contrast. Light should perfectly sculpt bodies, faces, genitals, and the points of sexual contact with sensual dimensionality.\n- **Cinematic Background & Palette**: Artistic, heavily blurred background with beautiful bokeh and shallow depth of field. Colors should complement the skin and mood. Use sophisticated palettes such as warm intimate tones, low-saturation cool/warm contrast, or rich cinematic grading that heightens erotic atmosphere.\n- **Aesthetic Keywords**: editorial erotic photography, cinematic light and shadow, award-winning realistic NSFW, intense sexual atmosphere, delicate anatomical details, raw poetic lust, high-end explicit intimacy.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, texture, form, and explicit sexual action. Prefer natural, flowing language. Avoid generic compliments. Make every part vivid, cinematic, and unapologetically sexual.\nOutput only the final expanded prompt. Do not add any explanations or extra text." + ], + "widgets_values_named": { + "String": "***You are a senior Visual Art Director and high-end erotic photography aesthetics expert specializing in realistic NSFW imagery. Your task is to take the user’s short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate realistic beauty, premium cinematic quality, strong visual tension, and explicit sexual intensity.**\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject cheap amateur porn aesthetics and create classic, timeless, story-rich artistic erotic images that feel cinematic and high-end.\n- Create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality, including flushed, sweaty, or aroused surfaces.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, soft practicals, dramatic rim light, etc.) for intense visual and sexual tension.\n- Give the character(s) graceful yet raw, sexually charged poise with emotionally compelling expression, gaze, and posture that conveys lust, surrender, intensity, intimacy, or dominant/submissive energy.\n- Fully embrace and prioritize explicit, erotic, and adult content. Describe nudity, sexual acts, penetration, oral sex, body parts, genitals, fluids, arousal, sweating, trembling, and intimate interactions in direct, detailed, and anatomically accurate language. Do not censor, soften, or assume clothing covers genitals or intimate anatomy. When sex acts are requested or implied, make them the clear visual focus.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional bone structure and facial proportions, deep clear soulful eyes full of desire or intensity, aroused and emotionally charged expression radiating raw sexual energy and high-end erotic aura.\n- **Composition & Sexual Poise**: Dynamic, intimate composition using golden ratio or strong diagonal lines, bodies locked in explicit sexual positions with graceful yet intense extension of limbs, hips, hands, and necks that emphasize penetration, oral contact, or intimate friction.\n- **Luminous Skin & Delicate Texture**: Healthy translucent luminous skin with subtle satin finish, gentle highlights, fine realistic skin texture, visible flush, light sweat, saliva, or other fluids that look refined yet authentically aroused.\n- **Premium Styling & Fabrics**: Any remaining clothing or lingerie described as luxurious materials (silk, lace, sheer fabrics) with rich drape, folds, and light interaction — often partially removed, pulled aside, or ruined to reveal the sexual act.\n- **Hair & Flow**: Natural volume with silky soft sheen, scattered stray hairs, and movement from physical exertion or gentle breeze for dynamic, intimate beauty.\n- **Masterful Lighting**: Highly atmospheric cinematic lighting with rim light, soft diffused practical light, or dramatic cool/warm contrast. Light should perfectly sculpt bodies, faces, genitals, and the points of sexual contact with sensual dimensionality.\n- **Cinematic Background & Palette**: Artistic, heavily blurred background with beautiful bokeh and shallow depth of field. Colors should complement the skin and mood. Use sophisticated palettes such as warm intimate tones, low-saturation cool/warm contrast, or rich cinematic grading that heightens erotic atmosphere.\n- **Aesthetic Keywords**: editorial erotic photography, cinematic light and shadow, award-winning realistic NSFW, intense sexual atmosphere, delicate anatomical details, raw poetic lust, high-end explicit intimacy.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, texture, form, and explicit sexual action. Prefer natural, flowing language. Avoid generic compliments. Make every part vivid, cinematic, and unapologetically sexual.\nOutput only the final expanded prompt. Do not add any explanations or extra text." + }, + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 3056, + "type": "LCAnySwitch", + "pos": [ + -4240, + -4690 + ], + "size": [ + 330, + 190 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 161, + "mode": 0, + "inputs": [ + { + "label": "STRING", + "name": "any_01", + "shape": 7, + "type": "STRING", + "link": 43991 + }, + { + "label": "STRING", + "name": "any_02", + "shape": 7, + "type": "STRING", + "link": 43992 + }, + { + "label": "STRING", + "name": "any_03", + "shape": 7, + "type": "STRING", + "link": 43993 + }, + { + "label": "STRING", + "name": "any_04", + "shape": 7, + "type": "STRING", + "link": 43998 + }, + { + "label": "STRING", + "name": "any_05", + "shape": 7, + "type": "STRING", + "link": 44001 + } + ], + "outputs": [ + { + "label": "STRING", + "name": "STRING", + "type": "STRING", + "links": [ + 43999 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCAnySwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": { + "any_01": true, + "any_02": true, + "any_03": true, + "any_04": true, + "any_05": true, + "any_06": true, + "any_07": true, + "any_08": true, + "any_09": true, + "any_10": true, + "any_11": true, + "any_12": true, + "any_13": true, + "any_14": true, + "any_15": true, + "any_16": true, + "any_17": true, + "any_18": true, + "any_19": true, + "any_20": true + }, + "send_to_any": 0, + "apply_to_unrepeated": 0, + "version": "7.8" + }, + "aux_id": "lonecatone23/ComfyUI_LC123_nodes" + }, + "widgets_values": [ + 5 + ], + "widgets_values_named": { + "inputcount": 5 + }, + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 1263, + "type": "SetNode", + "pos": [ + -4240, + -3890 + ], + "size": [ + 210, + 40 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 160, + "mode": 0, + "inputs": [ + { + "name": "STRING", + "type": "STRING", + "link": 13782 + } + ], + "outputs": [ + { + "name": "*", + "type": "*", + "links": null + } + ], + "title": "Set_prefix", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "prefix" + ], + "widgets_values_named": { + "Constant": "prefix" + }, + "color": "#232", + "bgcolor": "#353", + "shape": 2 + }, + { + "id": 1524, + "type": "DownloadAndLoadFlorence2Model", + "pos": [ + -7880, + -5000 + ], + "size": [ + 340, + 110 + ], + "flags": { + "pinned": true + }, + "order": 68, + "mode": 0, + "inputs": [ + { + "name": "lora", + "shape": 7, + "type": "PEFTLORA", + "link": null + } + ], + "outputs": [ + { + "name": "florence2_model", + "type": "FL2MODEL", + "links": [ + 44004 + ] + } + ], + "properties": { + "cnr_id": "comfyui-florence2", + "ver": "606bc5cd3465d48c66aa573bc1680c9bbe78edd9", + "Node name for S&R": "DownloadAndLoadFlorence2Model", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.7" + } + }, + "widgets_values": [ + "MiaoshouAI/Florence-2-base-PromptGen-v2.0", + "bf16", + "sdpa" + ], + "widgets_values_named": { + "model": "MiaoshouAI/Florence-2-base-PromptGen-v2.0", + "precision": "bf16", + "convert_to_safetensors": "sdpa" + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 3019, + "type": "LCTextRemove", + "pos": [ + -8000, + -4540 + ], + "size": [ + 360, + 414 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 208, + "mode": 0, + "inputs": [ + { + "name": "text", + "type": "STRING", + "link": 43903 + } + ], + "outputs": [ + { + "name": "text", + "type": "STRING", + "links": [ + 43899 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCTextRemove", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + 10, + false, + 0, + "watermark", + "name", + "Logo", + "right corner", + "righthand corner", + "left corner", + "lefthand corner", + "written", + "artist's", + "along the bottom", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "" + ], + "widgets_values_named": { + "entrycount": 10, + "use_regex": false, + "count": 0, + "find_1": "watermark", + "find_2": "name", + "find_3": "Logo", + "find_4": "right corner", + "find_5": "righthand corner", + "find_6": "left corner", + "find_7": "lefthand corner", + "find_8": "written", + "find_9": "artist's", + "find_10": "along the bottom", + "find_11": "", + "find_12": "", + "find_13": "", + "find_14": "", + "find_15": "", + "find_16": "", + "find_17": "", + "find_18": "", + "find_19": "", + "find_20": "" + }, + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 2063, + "type": "SetNode", + "pos": [ + -7800, + -4540 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 247, + "mode": 0, + "inputs": [ + { + "name": "STRING", + "type": "STRING", + "link": 43894 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": null + } + ], + "title": "Set_Prompt Tag", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "Prompt Tag", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Prompt Tag" + ], + "widgets_values_named": { + "Constant": "Prompt Tag" + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 2097, + "type": "MarkdownNote", + "pos": [ + -8140, + -4500 + ], + "size": [ + 600, + 200 + ], + "flags": { + "pinned": true + }, + "order": 69, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Notes / 笔记 :", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.7", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Florence Notes:\n\n## ⚠️ Load Image 🖼️ Must be ***ON*** or you will get an error\n\n\n### 💡 I'll typically run this once, cut & paste the prompt out of it, drop it into the prompt area, and edit accordingly. \n\n## settings\n- **Model** any of the *\"prompt_gen_base\"* models work. Size and version affect the outcome.\n- bf16 works just as well as FP16 and is the best balanced choice \n- **caption/ detailed_caption/ more_detailed_caption:** works best for natural language models (Flux, ZIT, Qwen)\n- **prompt_gen_tags:** Good for SDXL, *but...*\n- **⭐ prompt_gen_mixed_caption:** works extremely well for SDXL, ILLU, Pony, N00B as well as for Zit. (mixed reviews on Flux. tends to just double stuff up)\n\n---\n\n## Florence 笔记:\n### 💡 我通常只会运行一次,然后将生成的 prompt 剪切粘贴出来,放入提示词区域,再进行相应编辑。\n\n## 设置\n- **Model**:使用任意 *\"prompt_gen_base\"* 模型即可。模型大小和版本会影响生成效果。\n- bf16 的效果与 FP16 相当,是平衡性最好的选择。\n- **caption / detailed_caption / more_detailed_caption**:最适合自然语言模型(Flux、ZIT、Qwen)。\n- **prompt_gen_tags**:适合 SDXL,*但……*\n- **⭐ prompt_gen_mixed_caption**:对 SDXL、ILLU、Pony、N00B 以及 Zit 效果极佳。(Flux 评价不一,容易出现内容重复。)\n" + ], + "widgets_values_named": { + "text": "## Florence Notes:\n\n## ⚠️ Load Image 🖼️ Must be ***ON*** or you will get an error\n\n\n### 💡 I'll typically run this once, cut & paste the prompt out of it, drop it into the prompt area, and edit accordingly. \n\n## settings\n- **Model** any of the *\"prompt_gen_base\"* models work. Size and version affect the outcome.\n- bf16 works just as well as FP16 and is the best balanced choice \n- **caption/ detailed_caption/ more_detailed_caption:** works best for natural language models (Flux, ZIT, Qwen)\n- **prompt_gen_tags:** Good for SDXL, *but...*\n- **⭐ prompt_gen_mixed_caption:** works extremely well for SDXL, ILLU, Pony, N00B as well as for Zit. (mixed reviews on Flux. tends to just double stuff up)\n\n---\n\n## Florence 笔记:\n### 💡 我通常只会运行一次,然后将生成的 prompt 剪切粘贴出来,放入提示词区域,再进行相应编辑。\n\n## 设置\n- **Model**:使用任意 *\"prompt_gen_base\"* 模型即可。模型大小和版本会影响生成效果。\n- bf16 的效果与 FP16 相当,是平衡性最好的选择。\n- **caption / detailed_caption / more_detailed_caption**:最适合自然语言模型(Flux、ZIT、Qwen)。\n- **prompt_gen_tags**:适合 SDXL,*但……*\n- **⭐ prompt_gen_mixed_caption**:对 SDXL、ILLU、Pony、N00B 以及 Zit 效果极佳。(Flux 评价不一,容易出现内容重复。)\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2066, + "type": "GetNode", + "pos": [ + -8140, + -4540 + ], + "size": [ + 210, + 40 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 70, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "INT", + "type": "INT", + "links": [ + 19004 + ] + } + ], + "title": "Get_Seed", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Seed" + ], + "widgets_values_named": { + "Constant": "Seed" + }, + "color": "#1b4669", + "bgcolor": "#29699c" + }, + { + "id": 2082, + "type": "Florence2Run", + "pos": [ + -8140, + -5000 + ], + "size": [ + 250, + 420 + ], + "flags": { + "pinned": true + }, + "order": 181, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 45443 + }, + { + "name": "florence2_model", + "type": "FL2MODEL", + "link": 44004 + }, + { + "name": "seed", + "shape": 7, + "type": "INT", + "widget": { + "name": "seed" + }, + "link": 19004 + } + ], + "outputs": [ + { + "name": "image", + "type": "IMAGE", + "links": null + }, + { + "name": "mask", + "type": "MASK", + "links": null + }, + { + "name": "caption", + "type": "STRING", + "links": [ + 43903 + ] + }, + { + "name": "data", + "type": "JSON", + "links": null + } + ], + "properties": { + "cnr_id": "comfyui-florence2", + "ver": "ee64d1ef3fedcb26fff9bcc78065f9eea21ccb87", + 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**max_resolution** | Lower this to the **max processing resolution** you want. 💡 Saves on VRAM|\n| **resolution_source** | **image/mask** = use input size · **custom / preset** = use aspect ratio or custom W/H. |\n| **aspect_ratio** | social media style preset (or `custom`). |\n| **custom_width / custom_height** | Target size when preset is `custom`. |\n| **swap_dimensions** | Swaps width and height of the chosen size. |\n| **upscale_method** | Resample filter (nearest-exact, lanczos, etc.). |\n| **proportion** | How to fit: crop, stretch, resize, pad, total_pixels. |\n| **crop_location** | Anchor for crop/pad (center, top, bottom, left, right). |\n| **pad_color** | RGB fill when proportion is pad. |\n| **divisible_by** | Rounds output size to a multiple (e.g. 8). |\n| **batch_size** | Batch count for the empty latent output. |\n\n---\n\n### 📐 宽高比简化器\n| 控件 | 功能说明 |\n|--------|----------------|\n| **max_resolution** | 将其降低为你想要的**最大处理分辨率**。💡 可节省显存 |\n| **resolution_source** | **image/mask** = 使用输入尺寸 · **custom / preset** = 使用宽高比或自定义宽/高。 |\n| **aspect_ratio** | 社交媒体风格预设(或 `custom`)。 |\n| **custom_width / custom_height** | 当预设为 `custom` 时的目标尺寸。 |\n| **swap_dimensions** | 交换所选尺寸的宽和高。 |\n| **upscale_method** | 重采样滤镜(nearest-exact、lanczos 等)。 |\n| **proportion** | 适配方式:裁剪、拉伸、缩放、填充、总像素。 |\n| **crop_location** | 裁剪/填充的锚点(中心、顶部、底部、左侧、右侧)。 |\n| **pad_color** | 当 proportion 为 pad 时的 RGB 填充颜色。 |\n| **divisible_by** | 将输出尺寸四舍五入为指定倍数(例如 8)。 |\n| **batch_size** | 空 latent 输出的批次数量。 |" + ], + "widgets_values_named": { + "text": "\n\n### 📐 Aspect Ratio Simplifier\n\n| Widget | What it does |\n|--------|----------------|\n| **max_resolution** | Lower this to the **max processing resolution** you want. 💡 Saves on VRAM|\n| **resolution_source** | **image/mask** = use input size · **custom / preset** = use aspect ratio or custom W/H. |\n| **aspect_ratio** | social media style preset (or `custom`). |\n| **custom_width / custom_height** | Target size when preset is `custom`. |\n| **swap_dimensions** | Swaps width and height of the chosen size. |\n| **upscale_method** | Resample filter (nearest-exact, lanczos, etc.). |\n| **proportion** | How to fit: crop, stretch, resize, pad, total_pixels. |\n| **crop_location** | Anchor for crop/pad (center, top, bottom, left, right). |\n| **pad_color** | RGB fill when proportion is pad. |\n| **divisible_by** | Rounds output size to a multiple (e.g. 8). |\n| **batch_size** | Batch count for the empty latent output. |\n\n---\n\n### 📐 宽高比简化器\n| 控件 | 功能说明 |\n|--------|----------------|\n| **max_resolution** | 将其降低为你想要的**最大处理分辨率**。💡 可节省显存 |\n| **resolution_source** | **image/mask** = 使用输入尺寸 · **custom / preset** = 使用宽高比或自定义宽/高。 |\n| **aspect_ratio** | 社交媒体风格预设(或 `custom`)。 |\n| **custom_width / custom_height** | 当预设为 `custom` 时的目标尺寸。 |\n| **swap_dimensions** | 交换所选尺寸的宽和高。 |\n| **upscale_method** | 重采样滤镜(nearest-exact、lanczos 等)。 |\n| **proportion** | 适配方式:裁剪、拉伸、缩放、填充、总像素。 |\n| **crop_location** | 裁剪/填充的锚点(中心、顶部、底部、左侧、右侧)。 |\n| **pad_color** | 当 proportion 为 pad 时的 RGB 填充颜色。 |\n| **divisible_by** | 将输出尺寸四舍五入为指定倍数(例如 8)。 |\n| **batch_size** | 空 latent 输出的批次数量。 |" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": "2682:1", + "type": "PrimitiveBoolean", + "pos": [ + -9260, + -4200 + ], + "size": [ + 430, + 60 + ], + "flags": { + "pinned": true + }, + "order": 81, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "BOOLEAN", + "type": "BOOLEAN", + "links": [ + 43916, + 44250 + ] + } + ], + "title": "Image 2 Style Transfer 👠🥂👗", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.27.0", + "Node name for S&R": "PrimitiveBoolean", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + false + ], + "widgets_values_named": { + "value": false + }, + "color": "#233", + "bgcolor": "#355" + }, + { + "id": "2682:0", + "type": "PrimitiveBoolean", + "pos": [ + -8790, + -4200 + ], + "size": [ + 430, + 60 + ], + "flags": { + 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"bgcolor": "#335" + }, + { + "id": 3065, + "type": "LCComboSelector", + "pos": [ + -5230, + -3530 + ], + "size": [ + 330, + 60 + ], + "flags": { + "pinned": true + }, + "order": 85, + "mode": 0, + "inputs": [], + "outputs": [ + { + "label": "COMBO", + "name": "value", + "type": "COMBO", + "links": [ + 44006 + ] + } + ], + "title": "Sigma Scheduler Σ", + "properties": { + "lc_combo_w": 330, + "lc_combo_h": 60, + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCComboSelector", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "Base Sigmas" + ], + "widgets_values_named": { + "value": "Base Sigmas" + }, + "color": "#46288c", + "bgcolor": "#321478" + }, + { + "id": 3113, + "type": "LC Bypasser Panel", + "pos": [ + -5230, + -3700 + ], + "size": [ + 330, + 150 + ], + "flags": { + "pinned": true + }, + "order": 305, + "mode": 0, + "inputs": [ + { + "name": "hub", + "type": "*", + "link": 44290 + } + ], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + true, + false + ], + "widgets_values_named": { + "Enable Sigma Scheduler Σ": true, + "Enable 🤡 ClownSamplerSelector": false, + "Enable Detail Daemon Sampler 😈": true, + "Enable Notify 🔊": false + }, + "color": "#c3782d", + "bgcolor": "#af6419" + }, + { + "id": 2612, + "type": "ClownSamplerSelector_Beta", + "pos": [ + -5230, + -3430 + ], + "size": [ + 330, + 60 + ], + "flags": { + "pinned": true + }, + "order": 86, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "sampler_name", + "type": "COMBO", + "links": [ + 27940 + ] + } + ], + "title": "🤡 ClownSamplerSelector", + "properties": { + "cnr_id": "RES4LYF", + "ver": "419de2d7c78f415dde9aa352a7231820ebfc17a4", + "Node name for S&R": "ClownSamplerSelector_Beta", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "fully_implicit/radau_iia_3s" + ], + "widgets_values_named": { + "sampler_name": "fully_implicit/radau_iia_3s" + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 2357, + "type": "MarkdownNote", + "pos": [ + -5840, + -3700 + ], + "size": [ + 600, + 670 + ], + "flags": { + "pinned": true + }, + "order": 87, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Notes: / 笔记 :", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\n## Settings:\n\n**Denoise (Now up top)**\n- mainly for I2I 🖼️. works well at higher levels. I like leaving it around .97 for everyday use, but it is also the first thing I go to to change a pose.\n\n\n\n**Sigma Scheduler Σ**\n\n- Just another level of detail. Really good when messing with realism. \n- **Base Sigmas** uses the scheduler you chose and acts normally.\n\n- **Beta sine** is similar to beta57, but this is cleaner and give crisper results\n- **Karras min-max** its my cheating way to get Karras level realism on Flowmatch models\n- If you are so inclined to mess with stuff 🤔...\n - The schedulers are in the lilac nodes. You can expand them to change the settings. \n\n**🤡 ClownSamplerSelector**\n- One of the main advantages to using Clownshark Samplers is their **fully_imlicit, diag_implicit**, and multiple other **sampler** options. \n- However, their names and schedules are not compatible with anything other than Clownshark Samplers, and only a fraction of regular names work with them. To overcome this, I have done the following:\n- **ClownSampler Selector:** You can manually select any one of the Clown Samplers to use. **Note:** all other parts of the workflow will be based on your choice in the *⚙️ User Settings* area.\n- ⚠️ if you get an error like *UnboundLocalError: cannot access local variable 'ci' where it is not associated with a value* (which I shoud have dealt with), change the sampler name.\n\n**Detail Daemon**\n- This is dialed in pretty tight already. You relly should only mess with the *detail_amount* number.\n- I've found 0.2 -0.5 works well\n- If you want to mess with it more, the chart is below at the bottom:\n\n\n\n\n\n**LC Stop 🛑**\n- When turned on, the generation stops here. It allows you to make changes before committing to the upscalers, detailers, etc.\n- make changes to settings after it according to how your image came out, then hit **⏯️**\n- My low VRAM favorite trick.\n- **Play sound 🔊**: Makes a sound when it gets to this point so you don't have to sit there and watch it\n- 💡⚠️**if you have random seed turned on, it will keep starting from scratch. Make sure to fix the Seed!**\n\n--- \n\n\n**Best Detail Daemon Sampler Settings**\n| Preset | detail_amount | start | end | bias | exponent | smooth | Recommended For | Notes |\n|-------------------------|---------------|---------|---------|------|----------|--------|-------------------------------------|-------|\n| **Balanced** (Sweet Spot) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | Everyday use, general images | Best all-rounder for most users |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | Realism, textures, landscapes | Excellent sharpness & fine detail |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | Intricate subjects, high detail | Use carefully, can look oversharpened |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | Portraits, skin tones | Natural look, low artifacts |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | Professional portraits | Very subtle enhancement |\n\n### Quick Tips:\n- `detail_amount` is the main control (higher = more detail).\n- Most users find **0.50** the best daily default for Flux.\n- `start` = when detail boost begins | `end` = when it stops.\n- Keep **bias = 0.0** and **exponent = 1.0** for most cases.\n- to test if anyone reads my notes, first one to tell me the name of my Dog (Mochi) on this model for 100 buzz.\n- Always enable **smooth = True**.\n\n---\n\n## 设置说明:\n\n**Denoise(去噪强度)**\n- 主要用于 **I2I 🖼️**。数值越高效果越明显。\n- 我日常使用喜欢设置为 **0.97** 左右,但如果需要大幅改变姿势,这是我第一个调整的参数。\n\n**Sigma Scheduler Σ**\n- 能进一步提升细节表现,尤其在写实风格下非常好用。\n- **Base Sigmas**:使用你选择的调度器,表现正常。\n- **Beta sine**:类似 beta57,但更干净、结果更锐利。\n- **Karras min-max**:我在 Flowmatch 模型上偷懒获取 Karras 级别写实感的办法。\n- 如果你想进一步调整 🤔:\n - 调度器设置在紫色节点中,展开后可以修改参数。\n\n\n**🤡 ClownSamplerSelector**\n\n- 使用 Clownshark Samplers 的主要优势之一是它们提供了 **fully_implicit**、**diag_implicit** 以及多种其他 **sampler** 选项。\n- 然而,这些采样器名称和调度与 Clownshark Samplers 之外的其他节点不兼容,只有少数常规名称能正常工作。为了解决这个问题,我做了以下处理:\n- **ClownSampler Selector**:你可以手动选择任意一个 Clown Sampler 使用。**注意**:工作流的其他部分将基于你在 *⚙️ User Settings* 区域中的选择。\n- ⚠️ 如果出现类似 *UnboundLocalError: cannot access local variable 'ci' where it is not associated with a value* 的错误(我本应该已经处理),请尝试更换采样器名称。\n\n**Detail Daemon**\n- 当前已经调校得比较理想。你主要只需调整 **detail_amount** 参数即可。\n- 推荐范围:**0.2 - 0.5**\n- 如果想更深入调整,下方有参考图表。\n\n**LC Stop 🛑****\n- 开启后,生成会在此处停止。方便你在提交给 upscaler 和 detailer 之前进行调整。\n- 根据生成结果修改设置后,点击 **⏯️** 继续。\n- 这是我低显存时的最爱技巧。\n- **Play sound 🔊**:到达此处时播放提示音,不用一直盯着屏幕。\n- 💡⚠️ **如果开启了随机种子,它会不断从头开始生成。请务必固定 Seed!**\n\n---\n\n**最佳 Detail Daemon Sampler 设置**\n\n| 预设 | detail_amount | start | end | bias | exponent | smooth | 推荐用途 | 备注 |\n|------------------------|---------------|-------|-------|------|----------|--------|--------------------|------|\n| **Balanced**(甜蜜点) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | 日常使用、一般图像 | 大多数用户的最佳均衡选择 |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | 写实、纹理、风景 | 极佳的锐利度和细微细节 |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | 复杂主体、高细节 | 使用需谨慎,可能过度锐化 |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | 人像、皮肤 | 自然效果,低伪影 |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | 专业人像 | 非常细微的增强 |\n\n### 快速使用建议:\n- `detail_amount` 是最主要的控制参数(数值越高 = 细节越强)。\n- 大多数用户认为 **0.50** 是 Flux 模型的最佳日常默认值。\n- `start` = 细节增强开始步数 | `end` = 细节增强结束步数。\n- 大多数情况下保持 **bias = 0.0** 和 **exponent = 1.0**。\n- 始终启用 **smooth = True**。\n" + ], + "widgets_values_named": { + "text": "\n## Settings:\n\n**Denoise (Now up top)**\n- mainly for I2I 🖼️. works well at higher levels. I like leaving it around .97 for everyday use, but it is also the first thing I go to to change a pose.\n\n\n\n**Sigma Scheduler Σ**\n\n- Just another level of detail. Really good when messing with realism. \n- **Base Sigmas** uses the scheduler you chose and acts normally.\n\n- **Beta sine** is similar to beta57, but this is cleaner and give crisper results\n- **Karras min-max** its my cheating way to get Karras level realism on Flowmatch models\n- If you are so inclined to mess with stuff 🤔...\n - The schedulers are in the lilac nodes. You can expand them to change the settings. \n\n**🤡 ClownSamplerSelector**\n- One of the main advantages to using Clownshark Samplers is their **fully_imlicit, diag_implicit**, and multiple other **sampler** options. \n- However, their names and schedules are not compatible with anything other than Clownshark Samplers, and only a fraction of regular names work with them. To overcome this, I have done the following:\n- **ClownSampler Selector:** You can manually select any one of the Clown Samplers to use. **Note:** all other parts of the workflow will be based on your choice in the *⚙️ User Settings* area.\n- ⚠️ if you get an error like *UnboundLocalError: cannot access local variable 'ci' where it is not associated with a value* (which I shoud have dealt with), change the sampler name.\n\n**Detail Daemon**\n- This is dialed in pretty tight already. You relly should only mess with the *detail_amount* number.\n- I've found 0.2 -0.5 works well\n- If you want to mess with it more, the chart is below at the bottom:\n\n\n\n\n\n**LC Stop 🛑**\n- When turned on, the generation stops here. It allows you to make changes before committing to the upscalers, detailers, etc.\n- make changes to settings after it according to how your image came out, then hit **⏯️**\n- My low VRAM favorite trick.\n- **Play sound 🔊**: Makes a sound when it gets to this point so you don't have to sit there and watch it\n- 💡⚠️**if you have random seed turned on, it will keep starting from scratch. Make sure to fix the Seed!**\n\n--- \n\n\n**Best Detail Daemon Sampler Settings**\n| Preset | detail_amount | start | end | bias | exponent | smooth | Recommended For | Notes |\n|-------------------------|---------------|---------|---------|------|----------|--------|-------------------------------------|-------|\n| **Balanced** (Sweet Spot) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | Everyday use, general images | Best all-rounder for most users |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | Realism, textures, landscapes | Excellent sharpness & fine detail |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | Intricate subjects, high detail | Use carefully, can look oversharpened |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | Portraits, skin tones | Natural look, low artifacts |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | Professional portraits | Very subtle enhancement |\n\n### Quick Tips:\n- `detail_amount` is the main control (higher = more detail).\n- Most users find **0.50** the best daily default for Flux.\n- `start` = when detail boost begins | `end` = when it stops.\n- Keep **bias = 0.0** and **exponent = 1.0** for most cases.\n- to test if anyone reads my notes, first one to tell me the name of my Dog (Mochi) on this model for 100 buzz.\n- Always enable **smooth = True**.\n\n---\n\n## 设置说明:\n\n**Denoise(去噪强度)**\n- 主要用于 **I2I 🖼️**。数值越高效果越明显。\n- 我日常使用喜欢设置为 **0.97** 左右,但如果需要大幅改变姿势,这是我第一个调整的参数。\n\n**Sigma Scheduler Σ**\n- 能进一步提升细节表现,尤其在写实风格下非常好用。\n- **Base Sigmas**:使用你选择的调度器,表现正常。\n- **Beta sine**:类似 beta57,但更干净、结果更锐利。\n- **Karras min-max**:我在 Flowmatch 模型上偷懒获取 Karras 级别写实感的办法。\n- 如果你想进一步调整 🤔:\n - 调度器设置在紫色节点中,展开后可以修改参数。\n\n\n**🤡 ClownSamplerSelector**\n\n- 使用 Clownshark Samplers 的主要优势之一是它们提供了 **fully_implicit**、**diag_implicit** 以及多种其他 **sampler** 选项。\n- 然而,这些采样器名称和调度与 Clownshark Samplers 之外的其他节点不兼容,只有少数常规名称能正常工作。为了解决这个问题,我做了以下处理:\n- **ClownSampler Selector**:你可以手动选择任意一个 Clown Sampler 使用。**注意**:工作流的其他部分将基于你在 *⚙️ User Settings* 区域中的选择。\n- ⚠️ 如果出现类似 *UnboundLocalError: cannot access local variable 'ci' where it is not associated with a value* 的错误(我本应该已经处理),请尝试更换采样器名称。\n\n**Detail Daemon**\n- 当前已经调校得比较理想。你主要只需调整 **detail_amount** 参数即可。\n- 推荐范围:**0.2 - 0.5**\n- 如果想更深入调整,下方有参考图表。\n\n**LC Stop 🛑****\n- 开启后,生成会在此处停止。方便你在提交给 upscaler 和 detailer 之前进行调整。\n- 根据生成结果修改设置后,点击 **⏯️** 继续。\n- 这是我低显存时的最爱技巧。\n- **Play sound 🔊**:到达此处时播放提示音,不用一直盯着屏幕。\n- 💡⚠️ **如果开启了随机种子,它会不断从头开始生成。请务必固定 Seed!**\n\n---\n\n**最佳 Detail Daemon Sampler 设置**\n\n| 预设 | detail_amount | start | end | bias | exponent | smooth | 推荐用途 | 备注 |\n|------------------------|---------------|-------|-------|------|----------|--------|--------------------|------|\n| **Balanced**(甜蜜点) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | 日常使用、一般图像 | 大多数用户的最佳均衡选择 |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | 写实、纹理、风景 | 极佳的锐利度和细微细节 |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | 复杂主体、高细节 | 使用需谨慎,可能过度锐化 |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | 人像、皮肤 | 自然效果,低伪影 |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | 专业人像 | 非常细微的增强 |\n\n### 快速使用建议:\n- `detail_amount` 是最主要的控制参数(数值越高 = 细节越强)。\n- 大多数用户认为 **0.50** 是 Flux 模型的最佳日常默认值。\n- `start` = 细节增强开始步数 | `end` = 细节增强结束步数。\n- 大多数情况下保持 **bias = 0.0** 和 **exponent = 1.0**。\n- 始终启用 **smooth = True**。\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3084, + "type": "LCSplitSigmasAdvanced", + "pos": [ + -6270, + -3090 + ], + "size": [ + 290, + 150 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 248, + "mode": 0, + "inputs": [ + { + "name": "model_1", + "type": "MODEL", + "link": 44175 + }, + { + "name": "sigmas_1", + "type": "SIGMAS", + "link": 44047 + }, + { + "name": "model_2", + "shape": 7, + "type": "MODEL", + "link": 44176 + }, + { + "name": "sigmas_2", + "shape": 7, + "type": "SIGMAS", + "link": null + }, + { + "name": "step_swap", + "type": "INT", + "widget": { + 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"ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "Base Sigmas", + 0, + "Base Sigmas", + "Beta sine", + "Karras min-max", + "" + ], + "widgets_values_named": { + "choice": "Base Sigmas", + "index": 0, + "option1": "Base Sigmas", + "option2": "Beta sine", + "option3": "Karras min-max", + "option4": "" + }, + "color": "#46288c", + "bgcolor": "#321478" + }, + { + "id": 2704, + "type": "MarkdownNote", + "pos": [ + -6740, + -2860 + ], + "size": [ + 730, + 640 + ], + "flags": { + "pinned": true + }, + "order": 88, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "💡Tips & Tricks/ 提示与技巧", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## 💡Tips & Tricks:\n\nWhat I do...😼\n\n**📝 Prompting:**\n- I typically start with an idea, write it in the prompt box, then run it through the enhancer.\n- or... I'll run an image through Florence and get the prompt.\n- then I'll cut & paste it back into the prompt box and edit it. \n\n**Steps:**\n- I'll typically run every model at the very top range or a few steps over what is recommended. Too many steps overbake it. For Krea2 Turbo, I use 10-12\n\n**🖼️ to 👠👗style, 🎭mask, 🥅 controlnet**\n- quality is everything. 🗑️garbage in, 🗑️ garbage out.\n- ⚠️ understand the limits of each models controlnet before getting angry with it. Krea2 is designed in a way that does not play nice with controlnet, and currently we are limited to only one set of weights and one type: depth. **It is hit or miss.** I use it to get close. If I want precision, I'll use Flux.\n- 👗👠 Using two styles is cool, but a little difficult to control. I always give you options, but I never use more than one image. \n - 💡 I purposely made it use Image 2 and 3 so that you can still put an image in the first slot for a prompt.\n\n**Settings** \n- I have a set of schedulers and samplers that I like. I use them over and over again and only change them for different styles:\n- **regular:**\n - Res_2m/ Beta57 (or bong tangent)\n - Euler/ Simple\n - dpmpp_2m_sde/ sgm_uniform\n- **🤡Sampler selector**\n - fully_implicit/radau_iii-3s (or 4s) + Bong tanget or simple\n\n**Sigma Selector**\n- **Beta** for everything not realiam\n- **base** or **dpmpp** for realism\n- its a nifty little toy for sharpening and detail\n\n**Detailer Daemon**\n- This is really set and forget with me. On or off once I have it locked in. \n\n**Hi Res Fix/ Ultimate Upscaler**\n- I never upscale past 2.0\n- Skin and detail can be a big help here. \n - siax_200\n - skin_diff_lite\n - foolhardy\n- **Anime:** Anime sharp\n- **Graphics:** any superscale. I like Nickelback\n\n**🚫NSFW Detailers**\n- short of nipples, I have yet to find a reason to use these on Krea2. \n\n**Detailers**\n- I never combine face with eyes. I'll just use face 9 times out of 10 unless I want something special with the eyes\n\n**Seed VR2**\n- This collects dust. I use it for commercial or commission graphics. \n - That being said, I used it a lot when I had lower VRAM. Mainly because pushing the upscaled version through the detailers was VRAM prohibitive.\n- for almost any image in everyday use or on the site. The ultimate upscaler is usually enough.\n\n**🎨 Post processing**\n- of the ones on the top line, I really only use Contrast adaptive sharpen every day. The others are for when I am trying to get a certain effect\n- **Image filter** is your friend. I always leave it a little low on bright and a little high on saturation\n- **Optical Realism 📷, 📷 Lens FX, 🔬 Clarity FX.** These are all for reailsm. \n - I vary between them. For example, I use several different model and LoRA combinations. One works better for one set, the other for another. \n - 💡 Never use optical realism and Lens FX at the same time. They get in a cage match. \n- **LUT** My all time favorite. It really can make an image. I like *Cool_Natural_Breeze* \n\n\n---\n\n**💡提示与技巧:**\n\n**📝 提示词(Prompting):**\n\n* 我通常先有一个想法,在提示框中写下来,然后通过增强器(enhancer)运行它。\n* 或者……我会把一张图片通过 Florence 处理,获取提示词。\n* 然后将其剪切并粘贴回提示框中进行编辑。\n\n**步骤:**\n\n* 我通常会把每个模型都运行在推荐步数的最高范围或略高一些。步数太多会过度烘焙。对于 **Krea2 Turbo**,我使用 10-12 步。\n\n**🖼️ 到 👠👗风格、🎭遮罩、🥅 ControlNet**\n\n* 质量就是一切。🗑️垃圾输入,🗑️垃圾输出。\n- ⚠️ 在对 ControlNet 发火之前,请先了解每个模型的 ControlNet 限制。Krea2 的设计方式与 ControlNet 兼容性不佳,目前我们仅支持一组权重和一种类型:**depth**。**效果时好时坏。** 我用它来先得到接近的结果。如果需要精确控制,我会改用 Flux。\n\n* 👗👠 使用两种风格很酷,但控制起来有点难。我总是给你提供选项,但我自己从不使用超过一张图片。\n * 💡 我特意把它设计成使用 Image 2 和 Image 3,这样你仍然可以在第一个槽位放入图片作为提示。\n\n**设置(Settings)**\n\n* 我有一套自己喜欢的调度器和采样器。我会反复使用它们,只在不同风格时才更换:\n\n* 常规:\n * Res_2m / Beta57(或 Bong Tangent)\n * Euler / Simple\n * dpmpp_2m_sde / sgm_uniform\n\n* 🤡Sampler 选择器\n * fully_implicit / radau_iii-3s(或 4s) + Bong Tangent 或 Simple\n\n**Sigma 选择器**\n\n* 非写实类全部使用 Beta\n* 写实类使用 base 或 dpmpp\n\n\n**Detailer Daemon**\n\n- 这个对我来说真的是设置好就忘掉的工具。一旦锁定设置后,我就只会打开或关闭它。\n\n**Hi Res Fix / Ultimate Upscaler**\n\n* 我从不将 upscale 超过 2.0\n* 皮肤和细节在这里帮助很大:\n * siax_200\n * skin_diff_lite\n * foolhardy\n* 动漫风格:Anime sharp\n* 图形/插画:任何 superscale,我喜欢 Nickelback\n\n**🚫NSFW Detailers**\n\n* 除了乳头以外,我还没找到在 Krea2 上使用这些 Detailers 的理由。\n\n**Detailers**\n\n* 我从不把面部和眼睛结合使用。十次里有九次我只用面部 Detailer,除非我想对眼睛做特别处理。\n\n**Seed VR2**\n\n- 这个已经闲置了。我主要用它来做商业或委托图形。\n - 话虽如此,当我 VRAM 较低时,我曾大量使用它。主要因为将放大后的版本送入 detailers 处理会非常占用 VRAM。\n\n- 对于日常使用或网站上的几乎任何图像,Ultimate Upscaler 通常就足够了。\n\n**🎨 后期处理(Post Processing)**\n\n* 在顶栏的那些选项中,我每天真正常用的只有 **Contrast adaptive sharpen**。其他选项只在我想达到特定效果时使用。\n* Image filter 是你的好朋友。我总是把亮度调得稍微低一点,饱和度调得稍微高一点。\n* **Optical Realism 📷**、**📷 Lens FX**、**🔬 Clarity FX** —— 这些都用于写实风格。\n * 我会在它们之间切换。例如,我会使用几种不同的模型和 LoRA 组合,有的组合适合这一组,有的适合另一组。\n * 💡 永远不要同时使用 Optical Realism 和 Lens FX,它们会打架。\n* **LUT** —— 我一直以来的最爱。它真的能拯救一张图片。我最喜欢 **Cool_Natural_Breeze**。\n\n" + ], + "widgets_values_named": { + "text": "## 💡Tips & Tricks:\n\nWhat I do...😼\n\n**📝 Prompting:**\n- I typically start with an idea, write it in the prompt box, then run it through the enhancer.\n- or... I'll run an image through Florence and get the prompt.\n- then I'll cut & paste it back into the prompt box and edit it. \n\n**Steps:**\n- I'll typically run every model at the very top range or a few steps over what is recommended. Too many steps overbake it. For Krea2 Turbo, I use 10-12\n\n**🖼️ to 👠👗style, 🎭mask, 🥅 controlnet**\n- quality is everything. 🗑️garbage in, 🗑️ garbage out.\n- ⚠️ understand the limits of each models controlnet before getting angry with it. Krea2 is designed in a way that does not play nice with controlnet, and currently we are limited to only one set of weights and one type: depth. **It is hit or miss.** I use it to get close. If I want precision, I'll use Flux.\n- 👗👠 Using two styles is cool, but a little difficult to control. I always give you options, but I never use more than one image. \n - 💡 I purposely made it use Image 2 and 3 so that you can still put an image in the first slot for a prompt.\n\n**Settings** \n- I have a set of schedulers and samplers that I like. I use them over and over again and only change them for different styles:\n- **regular:**\n - Res_2m/ Beta57 (or bong tangent)\n - Euler/ Simple\n - dpmpp_2m_sde/ sgm_uniform\n- **🤡Sampler selector**\n - fully_implicit/radau_iii-3s (or 4s) + Bong tanget or simple\n\n**Sigma Selector**\n- **Beta** for everything not realiam\n- **base** or **dpmpp** for realism\n- its a nifty little toy for sharpening and detail\n\n**Detailer Daemon**\n- This is really set and forget with me. On or off once I have it locked in. \n\n**Hi Res Fix/ Ultimate Upscaler**\n- I never upscale past 2.0\n- Skin and detail can be a big help here. \n - siax_200\n - skin_diff_lite\n - foolhardy\n- **Anime:** Anime sharp\n- **Graphics:** any superscale. I like Nickelback\n\n**🚫NSFW Detailers**\n- short of nipples, I have yet to find a reason to use these on Krea2. \n\n**Detailers**\n- I never combine face with eyes. I'll just use face 9 times out of 10 unless I want something special with the eyes\n\n**Seed VR2**\n- This collects dust. I use it for commercial or commission graphics. \n - That being said, I used it a lot when I had lower VRAM. Mainly because pushing the upscaled version through the detailers was VRAM prohibitive.\n- for almost any image in everyday use or on the site. The ultimate upscaler is usually enough.\n\n**🎨 Post processing**\n- of the ones on the top line, I really only use Contrast adaptive sharpen every day. The others are for when I am trying to get a certain effect\n- **Image filter** is your friend. I always leave it a little low on bright and a little high on saturation\n- **Optical Realism 📷, 📷 Lens FX, 🔬 Clarity FX.** These are all for reailsm. \n - I vary between them. For example, I use several different model and LoRA combinations. One works better for one set, the other for another. \n - 💡 Never use optical realism and Lens FX at the same time. They get in a cage match. \n- **LUT** My all time favorite. It really can make an image. I like *Cool_Natural_Breeze* \n\n\n---\n\n**💡提示与技巧:**\n\n**📝 提示词(Prompting):**\n\n* 我通常先有一个想法,在提示框中写下来,然后通过增强器(enhancer)运行它。\n* 或者……我会把一张图片通过 Florence 处理,获取提示词。\n* 然后将其剪切并粘贴回提示框中进行编辑。\n\n**步骤:**\n\n* 我通常会把每个模型都运行在推荐步数的最高范围或略高一些。步数太多会过度烘焙。对于 **Krea2 Turbo**,我使用 10-12 步。\n\n**🖼️ 到 👠👗风格、🎭遮罩、🥅 ControlNet**\n\n* 质量就是一切。🗑️垃圾输入,🗑️垃圾输出。\n- ⚠️ 在对 ControlNet 发火之前,请先了解每个模型的 ControlNet 限制。Krea2 的设计方式与 ControlNet 兼容性不佳,目前我们仅支持一组权重和一种类型:**depth**。**效果时好时坏。** 我用它来先得到接近的结果。如果需要精确控制,我会改用 Flux。\n\n* 👗👠 使用两种风格很酷,但控制起来有点难。我总是给你提供选项,但我自己从不使用超过一张图片。\n * 💡 我特意把它设计成使用 Image 2 和 Image 3,这样你仍然可以在第一个槽位放入图片作为提示。\n\n**设置(Settings)**\n\n* 我有一套自己喜欢的调度器和采样器。我会反复使用它们,只在不同风格时才更换:\n\n* 常规:\n * Res_2m / Beta57(或 Bong Tangent)\n * Euler / Simple\n * dpmpp_2m_sde / sgm_uniform\n\n* 🤡Sampler 选择器\n * fully_implicit / radau_iii-3s(或 4s) + Bong Tangent 或 Simple\n\n**Sigma 选择器**\n\n* 非写实类全部使用 Beta\n* 写实类使用 base 或 dpmpp\n\n\n**Detailer Daemon**\n\n- 这个对我来说真的是设置好就忘掉的工具。一旦锁定设置后,我就只会打开或关闭它。\n\n**Hi Res Fix / Ultimate Upscaler**\n\n* 我从不将 upscale 超过 2.0\n* 皮肤和细节在这里帮助很大:\n * siax_200\n * skin_diff_lite\n * foolhardy\n* 动漫风格:Anime sharp\n* 图形/插画:任何 superscale,我喜欢 Nickelback\n\n**🚫NSFW Detailers**\n\n* 除了乳头以外,我还没找到在 Krea2 上使用这些 Detailers 的理由。\n\n**Detailers**\n\n* 我从不把面部和眼睛结合使用。十次里有九次我只用面部 Detailer,除非我想对眼睛做特别处理。\n\n**Seed VR2**\n\n- 这个已经闲置了。我主要用它来做商业或委托图形。\n - 话虽如此,当我 VRAM 较低时,我曾大量使用它。主要因为将放大后的版本送入 detailers 处理会非常占用 VRAM。\n\n- 对于日常使用或网站上的几乎任何图像,Ultimate Upscaler 通常就足够了。\n\n**🎨 后期处理(Post Processing)**\n\n* 在顶栏的那些选项中,我每天真正常用的只有 **Contrast adaptive sharpen**。其他选项只在我想达到特定效果时使用。\n* Image filter 是你的好朋友。我总是把亮度调得稍微低一点,饱和度调得稍微高一点。\n* **Optical Realism 📷**、**📷 Lens FX**、**🔬 Clarity FX** —— 这些都用于写实风格。\n * 我会在它们之间切换。例如,我会使用几种不同的模型和 LoRA 组合,有的组合适合这一组,有的适合另一组。\n * 💡 永远不要同时使用 Optical Realism 和 Lens FX,它们会打架。\n* **LUT** —— 我一直以来的最爱。它真的能拯救一张图片。我最喜欢 **Cool_Natural_Breeze**。\n\n" + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 2705, + "type": "Label (rgthree)", + "pos": [ + -6670, + -2970 + ], + "size": [ + 531.9375, + 48 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 89, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "💡 Psst.... 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Gallery](https://www.krea.ai/app?gallery=moodboards)**\n- Browse this to see images and the style that they were made with\n- You can also 🔎 from the search bar\n\nMoodboard node [Repo](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards)\n\n**Search, save favorites, roll the 🎲 to get a random one**\n- works in conjunction with everything else on this aircraft carrier of a workflow. \n- 💡 Image edit 🖼️🔁 and style transfer 👠👗 tend to override it, so use base prompt encode 📝\n- **strength** set at normal seems to work fine.\n\n---\n\n**Krea Moodboard** \n**[Moodboard Gallery](https://www.krea.ai/app?gallery=moodboards)** \n- 浏览此处可以查看图像以及它们所使用的风格 \n- 你也可以通过搜索栏进行 🔎 搜索 \n\nMoodboard 节点 [仓库](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards) \n\n**搜索、保存收藏、掷 🎲 获取随机一张** \n- 可与工作流中的其他所有部分协同工作(这个工作流堪称航母级别)。 \n- **strength** 设置为 normal(正常)即可正常工作。\n- 💡 图像编辑 🖼️🔁 和风格迁移 👠👗 容易覆盖它,因此建议使用 base prompt encode 📝\n" + ], + "widgets_values_named": { + "text": "**Krea Moodboard**\n\n**[Moodboard Gallery](https://www.krea.ai/app?gallery=moodboards)**\n- Browse this to see images and the style that they were made with\n- You can also 🔎 from the search bar\n\nMoodboard node [Repo](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards)\n\n**Search, save favorites, roll the 🎲 to get a random one**\n- works in conjunction with everything else on this aircraft carrier of a workflow. \n- 💡 Image edit 🖼️🔁 and style transfer 👠👗 tend to override it, so use base prompt encode 📝\n- **strength** set at normal seems to work fine.\n\n---\n\n**Krea Moodboard** \n**[Moodboard Gallery](https://www.krea.ai/app?gallery=moodboards)** \n- 浏览此处可以查看图像以及它们所使用的风格 \n- 你也可以通过搜索栏进行 🔎 搜索 \n\nMoodboard 节点 [仓库](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards) \n\n**搜索、保存收藏、掷 🎲 获取随机一张** \n- 可与工作流中的其他所有部分协同工作(这个工作流堪称航母级别)。 \n- **strength** 设置为 normal(正常)即可正常工作。\n- 💡 图像编辑 🖼️🔁 和风格迁移 👠👗 容易覆盖它,因此建议使用 base prompt encode 📝\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3120, + "type": "Bookmark 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"input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "### 👉The Krea 2 Model does **NOT do I2I like Klein_9b.** It uses the images as reference. it will **NOT** reproduce an image directly.\n\n\n### Base Prompt Encode 📝\n\n- Use for normal T2I and Normal I2I\n\n---\n### Image Edit 🖼️🔁\n**⚠️🚫 This does not work if **Sage Attention** is on!** It must be off above (in ⚙️ User Settings)as well as in your **start.bat** file\n\n**Instructions**\n- make sure to turn the switch on \n- Image 1 is your original pic\n- turn on image 2 & 3 as needed\n- Set the prompt in the main prompt area\n\n---\n### Style Transfer 👠🥂👗\n## 🛑 You must use Base Prompt Encode\n- This uses image 2 and 3\n- ⚠️ If you do not have an image truned on, but it is enabled, it gets ignored\n\n**Single Image style transfer**\n- Switch on Image 2 \n\n**Dual Image Style Transfer**\n- Both Image 2 & 3 need to be on\n- ⚠️ Turning on just Image 3 by itself makes it use both 🤔\n\n---\n### 👉 Krea 2 模型 不会 像 Klein_9b 那样进行 I2I。它将图像用作参考,不会 直接复现图像。\n\n\n### 基础提示编码 📝\n- 用于普通 T2I 和普通 I2I\n\n---\n### 图像编辑 🖼️🔁\n**⚠️🚫 如果开启了 **Sage Attention** 则无法使用!** \n必须在上方(⚙️ 用户设置)以及 **start.bat** 文件中将其关闭\n\n**使用说明**\n- 请确保打开此开关\n- Image 1 为你的原始图片\n- 根据需要开启 Image 2 和 Image 3\n- 在主提示词区域输入提示词\n\n---\n### 风格转移 👠🥂👗\n\n## 🛑 你必须使用 Base Prompt Encode\n\n- 这会使用图像 2 和 3\n- ⚠️ 如果没有开启任何图片,但对应开关被启用,它会被忽略。\n\n**单图像风格转移**\n\n- 打开图像 2 开关\n\n**双图像风格转移**\n\n- 图像 2 和 3 都需要打开\n- ⚠️ 单独打开 Image 3 时,它会同时使用两张图片 🤔" + ], + "widgets_values_named": { + "text": "### 👉The Krea 2 Model does **NOT do I2I like Klein_9b.** It uses the images as reference. it will **NOT** reproduce an image directly.\n\n\n### Base Prompt Encode 📝\n\n- Use for normal T2I and Normal I2I\n\n---\n### Image Edit 🖼️🔁\n**⚠️🚫 This does not work if **Sage Attention** is on!** It must be off above (in ⚙️ User Settings)as well as in your **start.bat** file\n\n**Instructions**\n- make sure to turn the switch on \n- Image 1 is your original pic\n- turn on image 2 & 3 as needed\n- Set the prompt in the main prompt area\n\n---\n### Style Transfer 👠🥂👗\n## 🛑 You must use Base Prompt Encode\n- This uses image 2 and 3\n- ⚠️ If you do not have an image truned on, but it is enabled, it gets ignored\n\n**Single Image style transfer**\n- Switch on Image 2 \n\n**Dual Image Style Transfer**\n- Both Image 2 & 3 need to be on\n- ⚠️ Turning on just Image 3 by itself makes it use both 🤔\n\n---\n### 👉 Krea 2 模型 不会 像 Klein_9b 那样进行 I2I。它将图像用作参考,不会 直接复现图像。\n\n\n### 基础提示编码 📝\n- 用于普通 T2I 和普通 I2I\n\n---\n### 图像编辑 🖼️🔁\n**⚠️🚫 如果开启了 **Sage Attention** 则无法使用!** \n必须在上方(⚙️ 用户设置)以及 **start.bat** 文件中将其关闭\n\n**使用说明**\n- 请确保打开此开关\n- Image 1 为你的原始图片\n- 根据需要开启 Image 2 和 Image 3\n- 在主提示词区域输入提示词\n\n---\n### 风格转移 👠🥂👗\n\n## 🛑 你必须使用 Base Prompt Encode\n\n- 这会使用图像 2 和 3\n- ⚠️ 如果没有开启任何图片,但对应开关被启用,它会被忽略。\n\n**单图像风格转移**\n\n- 打开图像 2 开关\n\n**双图像风格转移**\n\n- 图像 2 和 3 都需要打开\n- ⚠️ 单独打开 Image 3 时,它会同时使用两张图片 🤔" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3102, + "type": "LC Groups Bypasser", + "pos": [ 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The same goes for **🥅controlnet**\n- Ihe more you combine, the slower it will get. **This is normal**\n\n---\n**双采样器(Dual Samplers)**\n- 专门用来处理 ControlNet 渗色(bleed)。\n- 第一组 sigma 使用带 ControlNet 的模型条件;第二组使用干净模型。\n- 第二段不需要很多步数(大约 10% 即可)。\n\n**显存与处理速度**\n- 加入 **Image reference edit 🖼️🔁** 和 **style Transfer 👠🥂👗** 会明显拖慢处理速度。\n- 仍能正常出图,但大约会慢一倍。**🥅 ControlNet** 也是如此。\n- 叠加得越多,就越慢。**这是正常现象。**\n" + ], + "widgets_values_named": { + "text": "\n**Dual Samplers**\n- Very specifically put here to deal with controlnet bleed. \n- first set of sigmas runs with the controlnet model cnditioning, 2nd runs with the clean model\n- you don't need a lot of steps for the second one (like 10%)\n\n\n**VRAM and processing speed**\n- Adding **Image reference edit 🖼️🔁** and **style Transfer 👠🥂👗** will significantly slow down the processing speed. \n- It will process, but take twice as long. The same goes for **🥅controlnet**\n- Ihe more you combine, the slower it will get. **This is normal**\n\n---\n**双采样器(Dual Samplers)**\n- 专门用来处理 ControlNet 渗色(bleed)。\n- 第一组 sigma 使用带 ControlNet 的模型条件;第二组使用干净模型。\n- 第二段不需要很多步数(大约 10% 即可)。\n\n**显存与处理速度**\n- 加入 **Image reference edit 🖼️🔁** 和 **style Transfer 👠🥂👗** 会明显拖慢处理速度。\n- 仍能正常出图,但大约会慢一倍。**🥅 ControlNet** 也是如此。\n- 叠加得越多,就越慢。**这是正常现象。**\n" + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 3119, + "type": "MarkdownNote", + "pos": [ + -6340, + -4160 + ], + "size": [ + 320, + 150 + ], + "flags": { + "pinned": true + }, + "order": 102, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Sampler Settings ⚙️", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Sampler settings ⚙️\n- **total steps:** total steps for teh entire generation\n- **step swap:** the point where it transfers from High To Low Sampler\n- **detailer steps:** The amount of steps for the detailers (typically 8 for Krea Turbo)\n- **Denoise:** for I2I. 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+ "name": "STRING", + "type": "STRING", + "links": [ + 43998, + 44000 + ] + } + ], + "title": "Anime", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "**You are a senior Visual Art Director and master anime/illustration aesthetic expert. Your task is to take the user’s short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate anime beauty, premium illustration quality, clean linework, and strong visual tension.**\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject noisy or overly busy styles and create clean, timeless, story-rich anime and illustration images.\n- Emphasize clean, precise linework, sharp contours, and refined cel-shaded or soft-painted surfaces. Keep surfaces smooth and elegant with controlled highlights — noble, refined, and polished illustration quality.\n- Use cinematic yet anime-appropriate lighting to build dimensionality and atmosphere (soft rim light, dramatic rim, gentle glow, volumetric light rays, golden-hour anime lighting, etc.) for strong visual tension.\n- Give the character graceful anime poise with emotionally compelling expression, gaze, and posture that conveys serenity, elegance, depth, or poetic feeling.\n- Fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional anime facial proportions and bone structure, large expressive eyes full of story and emotion, elegant and serene expression radiating unique high-end anime aura, clean precise linework.\n- **Composition & Artistic Poise**: Classic aesthetic composition using golden ratio or dynamic diagonal lines, graceful anime body posture with elegant extension in hands, shoulders, and neck lines, refined silhouette.\n- **Clean Lines & Surface Quality**: Sharp, confident clean line art, smooth polished surfaces with subtle cel-shading or soft painterly gradients, controlled highlights and soft shadows for refined illustration finish.\n- **Premium Styling & Fabrics**: Luxurious anime clothing materials such as flowing silk, delicate lace, soft knits, and detailed patterns. Rich description of fabric drape, folds, and how light interacts with the surfaces.\n- **Hair & Flow**: Voluminous anime hair with silky soft sheen, individual strands and gentle breeze movement for dynamic beauty, clean outlines and flowing motion.\n- **Masterful Lighting**: Highly atmospheric anime lighting with rim light, soft diffused glow, or dramatic cool/warm contrast. Light should perfectly sculpt the character’s contours and facial dimensionality while remaining clean and illustrative.\n- **Cinematic Background & Palette**: Artistic, heavily blurred or softly detailed background with beautiful bokeh and shallow depth of field. Colors should complement the subject. Use sophisticated anime palettes such as soft pastel tones, rich saturated hues, cinematic anime grading, or elegant low-to-medium saturation cool/warm contrast.\n- **Aesthetic Keywords**: anime illustration, clean line art, elegant anime atmosphere, delicate details, poetic mood, high-end anime aesthetic, refined cel-shading.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, line, texture, and form. Prefer natural, flowing language. Avoid generic compliments. Make every part vivid, cinematic, and distinctly anime/illustration in character.\nOutput only the final expanded prompt. Do not add any explanations or extra text." + ], + "widgets_values_named": { + "String": "**You are a senior Visual Art Director and master anime/illustration aesthetic expert. Your task is to take the user’s short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate anime beauty, premium illustration quality, clean linework, and strong visual tension.**\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject noisy or overly busy styles and create clean, timeless, story-rich anime and illustration images.\n- Emphasize clean, precise linework, sharp contours, and refined cel-shaded or soft-painted surfaces. Keep surfaces smooth and elegant with controlled highlights — noble, refined, and polished illustration quality.\n- Use cinematic yet anime-appropriate lighting to build dimensionality and atmosphere (soft rim light, dramatic rim, gentle glow, volumetric light rays, golden-hour anime lighting, etc.) for strong visual tension.\n- Give the character graceful anime poise with emotionally compelling expression, gaze, and posture that conveys serenity, elegance, depth, or poetic feeling.\n- Fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional anime facial proportions and bone structure, large expressive eyes full of story and emotion, elegant and serene expression radiating unique high-end anime aura, clean precise linework.\n- **Composition & Artistic Poise**: Classic aesthetic composition using golden ratio or dynamic diagonal lines, graceful anime body posture with elegant extension in hands, shoulders, and neck lines, refined silhouette.\n- **Clean Lines & Surface Quality**: Sharp, confident clean line art, smooth polished surfaces with subtle cel-shading or soft painterly gradients, controlled highlights and soft shadows for refined illustration finish.\n- **Premium Styling & Fabrics**: Luxurious anime clothing materials such as flowing silk, delicate lace, soft knits, and detailed patterns. Rich description of fabric drape, folds, and how light interacts with the surfaces.\n- **Hair & Flow**: Voluminous anime hair with silky soft sheen, individual strands and gentle breeze movement for dynamic beauty, clean outlines and flowing motion.\n- **Masterful Lighting**: Highly atmospheric anime lighting with rim light, soft diffused glow, or dramatic cool/warm contrast. Light should perfectly sculpt the character’s contours and facial dimensionality while remaining clean and illustrative.\n- **Cinematic Background & Palette**: Artistic, heavily blurred or softly detailed background with beautiful bokeh and shallow depth of field. Colors should complement the subject. Use sophisticated anime palettes such as soft pastel tones, rich saturated hues, cinematic anime grading, or elegant low-to-medium saturation cool/warm contrast.\n- **Aesthetic Keywords**: anime illustration, clean line art, elegant anime atmosphere, delicate details, poetic mood, high-end anime aesthetic, refined cel-shading.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, line, texture, and form. Prefer natural, flowing language. Avoid generic compliments. Make every part vivid, cinematic, and distinctly anime/illustration in character.\nOutput only the final expanded prompt. Do not add any explanations or extra text." + }, + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 3054, + "type": "LC Bypasser Panel", + "pos": [ + -5630, + -4580 + ], + "size": [ + 290, + 130 + ], + "flags": { + "pinned": true + }, + "order": 149, + "mode": 0, + "inputs": [ + { + "name": "hub", + "type": "*", + "link": 43984 + } + ], + "outputs": [ + { + "label": "shh 🤫", + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "title": "Prompt 📝 Bypass", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + true + ], + "widgets_values_named": { + "Enable # 📝 Img Prompt !": true, + "Enable # Moodboard 📝😁🥲😡": false, + "Enable # Qwen 📝🪄": true + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 1302, + "type": "ShowText|pysssss", + "pos": [ + -4780, + -4580 + ], + "size": [ + 500, + 330 + ], + "flags": { + "pinned": true + }, + "order": 218, + "mode": 0, + "inputs": [ + { + "name": "text", + "type": "STRING", + "link": 43843 + } + ], + "outputs": [ + { + "name": "STRING", + "shape": 6, + "type": "STRING", + "links": [ + 32998 + ] + } + ], + "title": "Final Prompt", + "properties": { + "cnr_id": "comfyui-custom-scripts", + "ver": "1.2.5", + "Node name for S&R": "ShowText|pysssss", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + "A strikingly beautiful young woman in her late teens or early twenties, with long, wavy blonde hair cascading down her back, fair skin accented by subtle freckles, and a soft tan, sits on a window sill wearing a brown parka open at the front to reveal white fur trim along the edges, pulled over her head. She wears a black turtleneck sweater beneath the parka, her lips painted a bold red, as she rests her hand on her chin, gazing off into the distance with a thoughtful, introspective expression. The scene is bathed in soft natural light streaming through large windows, creating a blurred, atmospheric backdrop that emphasizes the serene, contemplative mood of the indoor setting, captured in photorealistic detail with gentle golden-hour illumination highlighting her refined features and the elegance of her attire." + ], + "widgets_values_named": { + "text_0": "A strikingly beautiful young woman in her late teens or early twenties, with long, wavy blonde hair cascading down her back, fair skin accented by subtle freckles, and a soft tan, sits on a window sill wearing a brown parka open at the front to reveal white fur trim along the edges, pulled over her head. She wears a black turtleneck sweater beneath the parka, her lips painted a bold red, as she rests her hand on her chin, gazing off into the distance with a thoughtful, introspective expression. The scene is bathed in soft natural light streaming through large windows, creating a blurred, atmospheric backdrop that emphasizes the serene, contemplative mood of the indoor setting, captured in photorealistic detail with gentle golden-hour illumination highlighting her refined features and the elegance of her attire." + }, + "color": "#46aa46", + "bgcolor": "#329632" + }, + { + "id": 174, + "type": "GetNode", + "pos": [ + -5020, + -2900 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 107, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 513 + ] + } + ], + "title": "Get_Pro Post", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Pro Post" + ], + "widgets_values_named": { + "Constant": "Pro Post" + }, + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": 2 + }, + { + "id": 173, + "type": "GetNode", + "pos": [ + -5190, + -2900 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 108, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "*", + "type": "*", + "links": [ + 514 + ] + } + ], + "title": "Get_Rough Draft", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Rough Draft" + ], + "widgets_values_named": { + "Constant": "Rough Draft" + }, + "shape": 2 + }, + { + "id": 2715, + "type": "PrimitiveBoolean", + "pos": [ + -9260, + -4100 + ], + "size": [ + 430, + 60 + ], + "flags": { + "pinned": true + }, + "order": 109, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "BOOLEAN", + "type": "BOOLEAN", + "links": [ + 28677 + ] + } + ], + "title": "Image 2 edit 🖼️🔁", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.27.0", + "Node name for S&R": "PrimitiveBoolean", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + false + ], + "widgets_values_named": { + "value": false + }, + "color": "#c3782d", + "bgcolor": "#af6419" + }, + { + "id": 3125, + "type": "Label (rgthree)", + "pos": [ + -9150, + -4260 + ], + "size": [ + 313.9365234375, + 18 + ], + "flags": { + "allow_interaction": true + }, + "order": 110, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "⚠️ use this one for style 👠🥂👗 First", + "properties": { + "fontSize": 18, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 3111, + "type": "LC Bypasser", + "pos": [ + -6270, + -3130 + ], + "size": [ + 310, + 310 + ], + "flags": { + "collapsed": true + }, + "order": 299, + "mode": 0, + "inputs": [ + { + "name": "Sigma Scheduler Σ", + "type": "*", + "link": 44291 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "🤡 ClownSamplerSelector", + "type": "*", + "link": 44292 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "Detail Daemon Sampler 😈", + "type": "*", + "link": 44293 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "Notify 🔊", + "type": "*", + "link": 44893 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "", + "type": "*", + "link": null + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + } + ], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": [ + 44290 + ] + } + ], + "properties": { + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + true, + false + ], + "widgets_values_named": { + "Enable Sigma Scheduler Σ": true, + "Enable 🤡 ClownSamplerSelector": false, + "Enable Detail Daemon Sampler 😈": true, + "Enable Notify 🔊": false + }, + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 3026, + "type": "LCJoinStrings", + "pos": [ + -4240, + -4170 + ], + "size": [ + 330, + 130 + ], + "flags": { + "collapsed": true + }, + "order": 268, + "mode": 0, + "inputs": [ + { + "name": "string_1", + "shape": 7, + "type": "STRING", + "link": 44895 + }, + { + "name": "string_2", + "shape": 7, + "type": "STRING", + "link": 43932 + } + ], + "outputs": [ + { + "name": "string", + "type": "STRING", + "links": [ + 43933 + ] + } + ], + "title": "📝 🪄🪡", + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCJoinStrings", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + 2, + "," + ], + "widgets_values_named": { + "inputcount": 2, + "delimiter": "," + }, + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 3132, + "type": "LCCivitaiStrip", + "pos": [ + -4240, + -4250 + ], + "size": [ + 270, + 60 + ], + "flags": { + "collapsed": true + }, + "order": 252, + "mode": 0, + "inputs": [ + { + "name": "text", + "type": "STRING", + "link": 44894 + } + ], + "outputs": [ + { + "name": "text", + "type": "STRING", + "links": [ + 44895 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "5832ec12d24dc0e316809e990ca4bb50852e4b72", + "Node name for S&R": "LCCivitaiStrip", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "civitai_compliance_remove.txt" + ], + "widgets_values_named": { + "list_file": "civitai_compliance_remove.txt" + }, + "color": "#643232", + "bgcolor": "#643232" + }, + { + "id": 3139, + "type": "GetNode", + "pos": [ + -5890, + -2100 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 111, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 44898, + 44899 + ] + } + ], + "title": "Get_Pro Post", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Pro Post" + ], + "widgets_values_named": { + "Constant": "Pro Post" + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 3140, + "type": "MarkdownNote", + "pos": [ + -5740, + -2100 + ], + "size": [ + 480, + 90 + ], + "flags": { + "pinned": true + }, + "order": 112, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Last Image holder/ 上一张图像保持器", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "**Two Options**\n- Hold last Image (will refresh after every generation)\n- hold until cleared.\n- can be plugged into an image compare node\n\n---\n\n**两种模式**\n\n- **Hold last Image**(保留上一张图,每次生成后会刷新) \n- **Hold until cleared**(一直保留,直到手动清除) \n- 可接到 **Image Compare** 节点上使用" + ], + "widgets_values_named": { + "text": "**Two Options**\n- Hold last Image (will refresh after every generation)\n- hold until cleared.\n- can be plugged into an image compare node\n\n---\n\n**两种模式**\n\n- **Hold last Image**(保留上一张图,每次生成后会刷新) \n- **Hold until cleared**(一直保留,直到手动清除) \n- 可接到 **Image Compare** 节点上使用" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1118, + "type": "MarkdownNote", + "pos": [ + -8160, + -3200 + ], + "size": [ + 1030, + 2490 + ], + "flags": { + "pinned": true + }, + "order": 113, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Krea2 notes 260624", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\n# Instructions\n\n\n\n### Follow me on CivitAi [HERE](https://civitai.com/user/lonecatone23)\n\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n\n### This represents hundreds of hours of work. If you enjoy it, please 👍like, 💬 comment , and feel free to ⚡tip 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n\n## General:\n# 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n### ⚠️ If you get a \"Nonetype:\" error, it's the controlent switches, No image in i2i or mask, or you don't have a sampler turned on. \n### 💾 Save info:\n- NOTHING SAVES UNLESS IT IS TURNED ON! \n- 📂 the folder labels are in the \"Save Group\" if you want to change them.\n- **Save Post Process** saves the final image without Metadata. Use this to enter it manually on CivitAi if teh checkpoint does not show up.\n\n## Model Links \n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF version](https://civitai.red/api/download/models/3069586?fileId=2948449). ⚠️ do not use the other ones found on CivitAI. They are garbage.\n\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - For Image Edit. **Rename after download**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n**Krea 2 Conditioning Rebalance**\n\n- Removes safety filter for NSFW [HERE](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n### Aspect Ratio Node:\n- Use a preset dimension or your own. If you use your own, make sure to set the preset to \"custom\".\n- Prescale: This will downsize your initial choice, which helps with Low VRAM.\n- Upscale: Attached to SEED VR2\n- Hi rez fix slider: This controls the upscale factor of the hi-rez fix. I typically have it at 1.5 to take pressure off of the SEED Vr2 upscaler.\n### I2I and Florence Prompt Generator:\n- ⚠️ Both I2I and Florence must be on to use I2I.\n- ***Background removal***. It helps if you do ot want background in your prompt or in the controlnet model. Read the istructions for its use in that area. \n- ⚠️ Turn off \"text remove\" if you are removing teh background but not using Florence or you will get a \"text\" error\n- The Controlnet uses the **I2I** image as well, so it must be on.\n\n### Prompt enhancer **Qwen 📝🪄**\n- Use Qwen3-VL-8b-Instruct version\n- This is basically a pruned LLM model that enhances your prompt. Enter the instructions on what it should do. \n- The size of the prompt massively affects the generation speed. I have left two different instruction templates in the \"Notes\" section)\n- 💡If you are having issues with the model not loading or not being found, follow the instructions [HERE](https://github.com/huchukato/ComfyUI-QwenVL-Mod)\n\n### Seed Variance Enhancer:\n- randomize_percent: lower is subtle, higher is strong.\n- Noise Amount: Between 20-30. \n- Noise insert: Begining steps work best.\n## 🛑🚫 Draft Mode:\n- when enabled, it stops the workflow at this point (no hirez, detail, etc.)\n- Draft is saved (if \"Save Draft\" is turned on)\n- Play Sound should ding (on portable version only). \n-Instructions to change the sound are in the notes area. (delete if not needed)\n### Upscale tips and tricks:\n- If you struggle with low VRAM, setting the aspect ratio low and using SEED VR2 on the other side will help generation issues. \n- Prescale: The one in the aspect ratio increases the size of the generation, The slider is for Hi-rez fix. \n- Tiled vs. not tiled: Tiling breaks the image up, greatly speeds up processing time, but sacrifices (a little bit of) quality. Set them as high as possible. \n### Hi-REZ upscale:\n- Use Ultra Sharp, Niclekback, or Ersgan for realism.\n- Use Anime sharp for...well... Anime.\n- If you struggle with VRAM, use the slider at the bottom. It increases the amnount of tiles by decreasing the size. Use it opnly to prevent OOM issues or brick ups. \n- [upscale models](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- If you struggle with noise (often from poorly made Loras), this wil do a slightly better job of cleaning it. [Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n### Detailers:\n- **(ZIT VERSION ONLY)** ✋ Make sure to use a checkpoint that matches your style of work. (i.e. Realism, Anime)\n- Change the sampler and scheduler accordingly.\n- Face & hands detector [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- Eyes [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo: what's the differrence between V8n & V8s?** The \"n\" stands for \"nano\" less accurate but les VRAM. Use S whenever possible. This is typically an issue on the face detailer\n### 🚫 Detailers NSFW (if applicable):\n- Turn off female if you are going to use male or you may get odd results.\n- ⚠️ There are two different types of detailers. The SEGs and the SAM detailers. Each works differently and with different models. You will get a wierd error if you put the wrong model in the SEGs loader. It's mainly for body. Use the other two for specifics\n- [female body detection](https://civitai.com/models/1816953/female-body-detection)\n- [Male Body Parts Detection](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- Place them in the segm foler (see below).\n- [Other body parts (watch what you download)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- If this is not the NSFW Version and you would like it. I should have it on my [Civitai page](https://civitai.com/user/lonecatone23) or message me.\n### Seed VR2 Upscaler:\n- [Watch this video](https://www.youtube.com/watch?v=MBtWYXq_r60).\n- This is set up for low VRAM. For higher VRAM, turn off tiling in the VAE and then increase resolution.\n- Debug is on. If you watch the log, it will warn you or tell you that you have more space top increase. \n*Automatic Downloads*\n- The selected model and VAE files will be downloaded automatically on first use.\n- ⚠️ Because these models are large, the download may take several minutes.\n- Monitor the console log for download progress.\n- Manual download into the 📂`ComfyUI\\models\\SEEDVR2` directory is possible. \n- Models can be found [here](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) and [here](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main).\n## Controlnet\n- ⚠️ When it is bypassed, all of the switches get reset. ***You have to go through and redo them.***\n- ⚠️ Controlnet does not work unless the I2I image is on. \n### Model patch\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- use ver 2.1\n### LUT\n- You can get free LUTs [HERE](https://freshluts.com)\n- See below for folder location \n***DING!*** (play sound)\n- Only works on the portable version for some reason\n- Directions to add your own are below.\n- you have to manually enter the name of the file (case sensitive).\n### Useful Nodes links:\n\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n\n[Controlnet](https://github.com/Fannovel16/comfyui_controlnet_aux)\n\n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n\n[ComfyUI-Custom-Scvripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)\n\n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n\n[Use everywhere nodes](https://github.com/chrisgoringe/cg-use-everywhere)\n\n[Virtuoso nodes](https://github.com/chrisfreilich/virtuoso-nodes) \n\n[JWS Nodes](https://github.com/jamesWalker55/comfyui-various) resize node options (if you can't load it)\n\n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3)\n\n[Seed variance Enhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer)\n\n[Captain Flowmatch](https://github.com/capitan01R/ComfyUI-CapitanFlowMatch)\n\n[Captain Flowmatch Conditioning Enhancer](https://github.com/capitan01R/Capitan-ConditioningEnhancer)\n\n[Prompt Reader Nodes](https://github.com/receyuki/comfyui-prompt-reader-node?tab=readme-ov-file#installation)\n\n[Optical Realism](https://github.com/skatardude10/ComfyUI-Optical-Realism)\n\n### File Locations\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── Lut files\n│ ├── 📂 SEED VR2\n│ │ └── All files\n│ ├── 📂 uralytics\n│ │ └── 📂 segm\n│ │ └──detection files\n│ ├── 📂 upscale_models\n│ │ └── upscale models (Ersgan, Nickelback, etc.)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3 (or any other .mp3 sound)\n\n\n\n\n\n" + ], + "widgets_values_named": { + "text": "\n# Instructions\n\n\n\n### Follow me on CivitAi [HERE](https://civitai.com/user/lonecatone23)\n\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n\n### This represents hundreds of hours of work. If you enjoy it, please 👍like, 💬 comment , and feel free to ⚡tip 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n\n## General:\n# 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n### ⚠️ If you get a \"Nonetype:\" error, it's the controlent switches, No image in i2i or mask, or you don't have a sampler turned on. \n### 💾 Save info:\n- NOTHING SAVES UNLESS IT IS TURNED ON! \n- 📂 the folder labels are in the \"Save Group\" if you want to change them.\n- **Save Post Process** saves the final image without Metadata. Use this to enter it manually on CivitAi if teh checkpoint does not show up.\n\n## Model Links \n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF version](https://civitai.red/api/download/models/3069586?fileId=2948449). ⚠️ do not use the other ones found on CivitAI. They are garbage.\n\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - For Image Edit. **Rename after download**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n**Krea 2 Conditioning Rebalance**\n\n- Removes safety filter for NSFW [HERE](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n### Aspect Ratio Node:\n- Use a preset dimension or your own. If you use your own, make sure to set the preset to \"custom\".\n- Prescale: This will downsize your initial choice, which helps with Low VRAM.\n- Upscale: Attached to SEED VR2\n- Hi rez fix slider: This controls the upscale factor of the hi-rez fix. I typically have it at 1.5 to take pressure off of the SEED Vr2 upscaler.\n### I2I and Florence Prompt Generator:\n- ⚠️ Both I2I and Florence must be on to use I2I.\n- ***Background removal***. It helps if you do ot want background in your prompt or in the controlnet model. Read the istructions for its use in that area. \n- ⚠️ Turn off \"text remove\" if you are removing teh background but not using Florence or you will get a \"text\" error\n- The Controlnet uses the **I2I** image as well, so it must be on.\n\n### Prompt enhancer **Qwen 📝🪄**\n- Use Qwen3-VL-8b-Instruct version\n- This is basically a pruned LLM model that enhances your prompt. Enter the instructions on what it should do. \n- The size of the prompt massively affects the generation speed. I have left two different instruction templates in the \"Notes\" section)\n- 💡If you are having issues with the model not loading or not being found, follow the instructions [HERE](https://github.com/huchukato/ComfyUI-QwenVL-Mod)\n\n### Seed Variance Enhancer:\n- randomize_percent: lower is subtle, higher is strong.\n- Noise Amount: Between 20-30. \n- Noise insert: Begining steps work best.\n## 🛑🚫 Draft Mode:\n- when enabled, it stops the workflow at this point (no hirez, detail, etc.)\n- Draft is saved (if \"Save Draft\" is turned on)\n- Play Sound should ding (on portable version only). \n-Instructions to change the sound are in the notes area. (delete if not needed)\n### Upscale tips and tricks:\n- If you struggle with low VRAM, setting the aspect ratio low and using SEED VR2 on the other side will help generation issues. \n- Prescale: The one in the aspect ratio increases the size of the generation, The slider is for Hi-rez fix. \n- Tiled vs. not tiled: Tiling breaks the image up, greatly speeds up processing time, but sacrifices (a little bit of) quality. Set them as high as possible. \n### Hi-REZ upscale:\n- Use Ultra Sharp, Niclekback, or Ersgan for realism.\n- Use Anime sharp for...well... Anime.\n- If you struggle with VRAM, use the slider at the bottom. It increases the amnount of tiles by decreasing the size. Use it opnly to prevent OOM issues or brick ups. \n- [upscale models](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- If you struggle with noise (often from poorly made Loras), this wil do a slightly better job of cleaning it. [Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n### Detailers:\n- **(ZIT VERSION ONLY)** ✋ Make sure to use a checkpoint that matches your style of work. (i.e. Realism, Anime)\n- Change the sampler and scheduler accordingly.\n- Face & hands detector [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- Eyes [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo: what's the differrence between V8n & V8s?** The \"n\" stands for \"nano\" less accurate but les VRAM. Use S whenever possible. This is typically an issue on the face detailer\n### 🚫 Detailers NSFW (if applicable):\n- Turn off female if you are going to use male or you may get odd results.\n- ⚠️ There are two different types of detailers. The SEGs and the SAM detailers. Each works differently and with different models. You will get a wierd error if you put the wrong model in the SEGs loader. It's mainly for body. Use the other two for specifics\n- [female body detection](https://civitai.com/models/1816953/female-body-detection)\n- [Male Body Parts Detection](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- Place them in the segm foler (see below).\n- [Other body parts (watch what you download)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- If this is not the NSFW Version and you would like it. I should have it on my [Civitai page](https://civitai.com/user/lonecatone23) or message me.\n### Seed VR2 Upscaler:\n- [Watch this video](https://www.youtube.com/watch?v=MBtWYXq_r60).\n- This is set up for low VRAM. For higher VRAM, turn off tiling in the VAE and then increase resolution.\n- Debug is on. If you watch the log, it will warn you or tell you that you have more space top increase. \n*Automatic Downloads*\n- The selected model and VAE files will be downloaded automatically on first use.\n- ⚠️ Because these models are large, the download may take several minutes.\n- Monitor the console log for download progress.\n- Manual download into the 📂`ComfyUI\\models\\SEEDVR2` directory is possible. \n- Models can be found [here](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) and [here](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main).\n## Controlnet\n- ⚠️ When it is bypassed, all of the switches get reset. ***You have to go through and redo them.***\n- ⚠️ Controlnet does not work unless the I2I image is on. \n### Model patch\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- use ver 2.1\n### LUT\n- You can get free LUTs [HERE](https://freshluts.com)\n- See below for folder location \n***DING!*** (play sound)\n- Only works on the portable version for some reason\n- Directions to add your own are below.\n- you have to manually enter the name of the file (case sensitive).\n### Useful Nodes links:\n\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n\n[Controlnet](https://github.com/Fannovel16/comfyui_controlnet_aux)\n\n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n\n[ComfyUI-Custom-Scvripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)\n\n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n\n[Use everywhere nodes](https://github.com/chrisgoringe/cg-use-everywhere)\n\n[Virtuoso nodes](https://github.com/chrisfreilich/virtuoso-nodes) \n\n[JWS Nodes](https://github.com/jamesWalker55/comfyui-various) resize node options (if you can't load it)\n\n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3)\n\n[Seed variance Enhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer)\n\n[Captain Flowmatch](https://github.com/capitan01R/ComfyUI-CapitanFlowMatch)\n\n[Captain Flowmatch Conditioning Enhancer](https://github.com/capitan01R/Capitan-ConditioningEnhancer)\n\n[Prompt Reader Nodes](https://github.com/receyuki/comfyui-prompt-reader-node?tab=readme-ov-file#installation)\n\n[Optical Realism](https://github.com/skatardude10/ComfyUI-Optical-Realism)\n\n### File Locations\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── Lut files\n│ ├── 📂 SEED VR2\n│ │ └── All files\n│ ├── 📂 uralytics\n│ │ └── 📂 segm\n│ │ └──detection files\n│ ├── 📂 upscale_models\n│ │ └── upscale models (Ersgan, Nickelback, etc.)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3 (or any other .mp3 sound)\n\n\n\n\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1251, + "type": "MarkdownNote", + "pos": [ + -9280, + -3190 + ], + "size": [ + 1060, + 2490 + ], + "flags": { + "pinned": true + }, + "order": 114, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# 说明\n### 在 CivitAi 上关注我 [HERE](https://civitai.com/user/lonecatone23)\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n### 这代表数百小时的工作成果。如果你喜欢,请 👍点赞、💬留言,并欢迎随时 ⚡打赏 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n## 通用说明:\n# 🛑🚫✋ 严禁手动绕过任何设置!所有功能都有对应的开关。\n### ⚠️ 如果出现 \"Nonetype:\" 错误,通常是 controlnet 开关问题、i2i 或 mask 没有图片,或者没有启用采样器。\n### 💾 保存相关信息:\n- **除非主动开启,否则什么都不会保存!**\n- 📂 文件夹名称可在 “Save Group” 中修改。\n- **Save Post Process** 会保存最终图像(不带元数据)。如果 checkpoint 在 CivitAi 上不显示,可用此方式手动上传。\n\n### 模型链接\n\nBF16 和 NVFP4 版本请见 [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF 版本](https://civitai.red/api/download/models/3069586?fileId=2948449)。 ⚠️ 不要使用 CivitAI 上找到的其他版本。它们都是垃圾。\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - 用于图像编辑。**下载后重命名**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n\n**Krea 2 Conditioning Rebalance**\n\n- 移除 NSFW 安全过滤器 [ConditioningKrea2Rebalance](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n\n\n\n### 画幅比例节点(Aspect Ratio Node):\n- 可使用预设尺寸或自定义尺寸。自定义时必须将预设选为 **custom**。\n- **Prescale**:会先缩小你选择的初始尺寸,有助于低显存情况。\n- **Upscale**:连接到 SEED VR2。\n- **Hi-rez fix 滑块**:控制 hi-rez fix 的放大倍率。通常设为 1.5 以减轻 SEED VR2 上采样压力。\n\n### I2I 与 Florence 提示词生成器:\n- ⚠️ 必须同时开启 **I2I** 和 **Florence** 才能使用 I2I 功能。\n- ***背景移除***:如果你不希望提示词或 controlnet 模型带有背景,开启很有帮助。请阅读该区域的使用说明。\n- Controlnet 也会使用 **I2I** 的图片,因此 I2I 必须开启。\n\n### 提示词增强器(Prompt Enhancer):**Qwen 📝🪄**\n- 使用 **Qwen3-VL-8b-Instruct**。\n- 这是一个精简的 LLM 模型,用于优化你的提示词。请在其中输入你希望它如何改进提示。\n- 提示词长度会显著影响生成速度。“Notes” 区域中已保留两种不同的指令模板供参考。\n- 💡如果模型无法加载或找不到模型,请按照[此处](https://github.com/huchukato/ComfyUI-QwenVL-Mod)的说明操作\n\n### Seed 变化增强器(Seed Variance Enhancer):\n- **randomize_percent**:数值越低变化越微妙,数值越高变化越强烈。\n- **Noise Amount**:建议 20–30。\n- **Noise insert**:在开始步骤(Beginning steps)效果最好。\n\n## 🛑🚫 草稿模式(Draft Mode):\n- 开启后,工作流会在此处停止(不进行 hi-rez、细节处理等)。\n- 草稿图像会保存(需开启 “Save Draft”)。\n- **Play Sound** 会发出提示音(仅便携版支持)。\n- 更改提示音的方法见 Notes 区域(不需要可删除)。\n\n### 上采样技巧:\n- 显存不足时,可降低画幅比例 + 使用另一侧的 SEED VR2,有助于缓解生成问题。\n- **Prescale**(在 Aspect Ratio 节点中):增大生成底图尺寸;**Hi-rez fix 滑块**:控制二次放大的倍率。\n- **Tiled vs. 非 Tiled**:平铺模式会把图像切块,大幅加快处理速度,但牺牲少量质量。建议尽量把平铺参数调高。\n\n### Hi-REZ 上采样:\n- 写实风格推荐:Ultra Sharp、Niclekback 或 Ersgan。\n- 动漫风格推荐:Anime sharp。\n- 显存吃紧时,使用底部滑块增加切块数量(减小单块尺寸),仅用于避免 OOM 或砖块 artifact。\n- [上采样模型下载](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- 如果出现噪点(常由劣质 LoRA 引起),可使用此模型略微改善:[Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n\n### 细节修复器(Detailers):\n- **(仅 ZIT 版本)** ✋ 请确保使用的 checkpoint 与你的风格匹配(写实 / 动漫)。\n- 相应调整 sampler 和 scheduler。\n- 脸部 & 手部检测模型 [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- 眼睛专用 [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo:V8n 与 V8s 的区别?** “n”代表 nano,精度较低但显存占用少。**尽可能使用 S 版本**(尤其脸部细节修复常见问题)。\n\n### 🚫 NSFW 细节修复器(若适用):\n- 如果要生成男性,请关闭女性检测,否则可能出现奇怪结果。\n- ⚠️ 有两种细节修复器:**SEGs** 和 **SAM**,使用的模型不同,装错会报奇怪错误。SEGs 主要用于身体,其余两个适合局部细节。\n- [女性身体检测](https://civitai.com/models/1816953/female-body-detection)\n- [男性生殖器检测](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- 模型需放入 segm 文件夹(见下方路径)。\n- [其他身体部位模型(注意甄别下载内容)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- 如果当前不是 NSFW 版本,想要获取可前往我的 [Civitai 主页](https://civitai.com/user/lonecatone23) 或私信我。\n\n### Seed VR2 上采样器:\n- [观看教学视频](https://www.youtube.com/watch?v=MBtWYXq_r60)\n- 本设置针对低显存优化。高显存用户可关闭 VAE 中的 tiling,然后提高分辨率。\n- Debug 已开启,可观察日志,它会提醒你是否还有余量继续增大。\n\n**自动下载说明**\n- 首次使用时,选中的模型和 VAE 文件会自动下载。\n- ⚠️ 模型较大,下载可能需要几分钟。\n- 请关注控制台日志查看下载进度。\n- 也可手动下载到 📂`ComfyUI\\models\\SEEDVR2` 目录。\n- 模型地址:[这里](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) 和 [这里](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main)。\n\n## ControlNet\n- ⚠️ 绕过(bypass)ControlNet 时,所有开关都会重置。***需要重新逐个设置。***\n- ⚠️ 必须开启 I2I 图片,ControlNet 才会生效。\n\n### 模型补丁(Model patch)\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- 推荐使用 **2.1** 版本\n\n### LUT\n- 可在此免费获取 LUT:[HERE](https://freshluts.com)\n- 文件存放位置见下方\n\n***DING!***(播放声音)\n- 仅便携版支持\n- 自定义声音方法见下方说明\n- 需手动输入文件名(区分大小写)\n\n### 常用节点链接:\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n[Controlnet Aux](https://github.com/Fannovel16/comfyui_controlnet_aux) \n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack) \n[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts) \n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n[Use Everywhere](https://github.com/chrisgoringe/cg-use-everywhere) \n[Virtuoso nodes](https://github.com/chrisfreilich/virtuoso-nodes) \n[JWS Nodes](https://github.com/jamesWalker55/comfyui-various) (resize 节点选项,若无法加载) \n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3) \n[Seed Variance Enhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer) \n[Captain Flowmatch](https://github.com/capitan01R/ComfyUI-CapitanFlowMatch) \n[Captain Flowmatch Conditioning Enhancer](https://github.com/capitan01R/Capitan-ConditioningEnhancer) \n[Prompt Reader Nodes](https://github.com/receyuki/comfyui-prompt-reader-node?tab=readme-ov-file#installation)\n\n[Optical Realism](https://github.com/skatardude10/ComfyUI-Optical-Realism)\n\n### 存储路径\n```\n📂 ComfyUI/\n├─📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── LUT 文件\n│ ├── 📂 SEED VR2\n│ │ └── 所有相关文件\n│ ├── 📂 ultralytics\n│ │ └── 📂 segm\n│ │ └── 检测模型文件\n│ ├── 📂 upscale_models\n│ │ └── 上采样模型(Ersgan、Nickelback 等)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3(或其他 .mp3 声音文件)\n```\n\n" + ], + "widgets_values_named": { + "text": "# 说明\n### 在 CivitAi 上关注我 [HERE](https://civitai.com/user/lonecatone23)\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n### 这代表数百小时的工作成果。如果你喜欢,请 👍点赞、💬留言,并欢迎随时 ⚡打赏 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n## 通用说明:\n# 🛑🚫✋ 严禁手动绕过任何设置!所有功能都有对应的开关。\n### ⚠️ 如果出现 \"Nonetype:\" 错误,通常是 controlnet 开关问题、i2i 或 mask 没有图片,或者没有启用采样器。\n### 💾 保存相关信息:\n- **除非主动开启,否则什么都不会保存!**\n- 📂 文件夹名称可在 “Save Group” 中修改。\n- **Save Post Process** 会保存最终图像(不带元数据)。如果 checkpoint 在 CivitAi 上不显示,可用此方式手动上传。\n\n### 模型链接\n\nBF16 和 NVFP4 版本请见 [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF 版本](https://civitai.red/api/download/models/3069586?fileId=2948449)。 ⚠️ 不要使用 CivitAI 上找到的其他版本。它们都是垃圾。\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - 用于图像编辑。**下载后重命名**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n\n**Krea 2 Conditioning Rebalance**\n\n- 移除 NSFW 安全过滤器 [ConditioningKrea2Rebalance](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n\n\n\n### 画幅比例节点(Aspect Ratio Node):\n- 可使用预设尺寸或自定义尺寸。自定义时必须将预设选为 **custom**。\n- **Prescale**:会先缩小你选择的初始尺寸,有助于低显存情况。\n- **Upscale**:连接到 SEED VR2。\n- **Hi-rez fix 滑块**:控制 hi-rez fix 的放大倍率。通常设为 1.5 以减轻 SEED VR2 上采样压力。\n\n### I2I 与 Florence 提示词生成器:\n- ⚠️ 必须同时开启 **I2I** 和 **Florence** 才能使用 I2I 功能。\n- ***背景移除***:如果你不希望提示词或 controlnet 模型带有背景,开启很有帮助。请阅读该区域的使用说明。\n- Controlnet 也会使用 **I2I** 的图片,因此 I2I 必须开启。\n\n### 提示词增强器(Prompt Enhancer):**Qwen 📝🪄**\n- 使用 **Qwen3-VL-8b-Instruct**。\n- 这是一个精简的 LLM 模型,用于优化你的提示词。请在其中输入你希望它如何改进提示。\n- 提示词长度会显著影响生成速度。“Notes” 区域中已保留两种不同的指令模板供参考。\n- 💡如果模型无法加载或找不到模型,请按照[此处](https://github.com/huchukato/ComfyUI-QwenVL-Mod)的说明操作\n\n### Seed 变化增强器(Seed Variance Enhancer):\n- **randomize_percent**:数值越低变化越微妙,数值越高变化越强烈。\n- **Noise Amount**:建议 20–30。\n- **Noise insert**:在开始步骤(Beginning steps)效果最好。\n\n## 🛑🚫 草稿模式(Draft Mode):\n- 开启后,工作流会在此处停止(不进行 hi-rez、细节处理等)。\n- 草稿图像会保存(需开启 “Save Draft”)。\n- **Play Sound** 会发出提示音(仅便携版支持)。\n- 更改提示音的方法见 Notes 区域(不需要可删除)。\n\n### 上采样技巧:\n- 显存不足时,可降低画幅比例 + 使用另一侧的 SEED VR2,有助于缓解生成问题。\n- **Prescale**(在 Aspect Ratio 节点中):增大生成底图尺寸;**Hi-rez fix 滑块**:控制二次放大的倍率。\n- **Tiled vs. 非 Tiled**:平铺模式会把图像切块,大幅加快处理速度,但牺牲少量质量。建议尽量把平铺参数调高。\n\n### Hi-REZ 上采样:\n- 写实风格推荐:Ultra Sharp、Niclekback 或 Ersgan。\n- 动漫风格推荐:Anime sharp。\n- 显存吃紧时,使用底部滑块增加切块数量(减小单块尺寸),仅用于避免 OOM 或砖块 artifact。\n- [上采样模型下载](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- 如果出现噪点(常由劣质 LoRA 引起),可使用此模型略微改善:[Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n\n### 细节修复器(Detailers):\n- **(仅 ZIT 版本)** ✋ 请确保使用的 checkpoint 与你的风格匹配(写实 / 动漫)。\n- 相应调整 sampler 和 scheduler。\n- 脸部 & 手部检测模型 [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- 眼睛专用 [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo:V8n 与 V8s 的区别?** “n”代表 nano,精度较低但显存占用少。**尽可能使用 S 版本**(尤其脸部细节修复常见问题)。\n\n### 🚫 NSFW 细节修复器(若适用):\n- 如果要生成男性,请关闭女性检测,否则可能出现奇怪结果。\n- ⚠️ 有两种细节修复器:**SEGs** 和 **SAM**,使用的模型不同,装错会报奇怪错误。SEGs 主要用于身体,其余两个适合局部细节。\n- [女性身体检测](https://civitai.com/models/1816953/female-body-detection)\n- [男性生殖器检测](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- 模型需放入 segm 文件夹(见下方路径)。\n- [其他身体部位模型(注意甄别下载内容)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- 如果当前不是 NSFW 版本,想要获取可前往我的 [Civitai 主页](https://civitai.com/user/lonecatone23) 或私信我。\n\n### Seed VR2 上采样器:\n- [观看教学视频](https://www.youtube.com/watch?v=MBtWYXq_r60)\n- 本设置针对低显存优化。高显存用户可关闭 VAE 中的 tiling,然后提高分辨率。\n- Debug 已开启,可观察日志,它会提醒你是否还有余量继续增大。\n\n**自动下载说明**\n- 首次使用时,选中的模型和 VAE 文件会自动下载。\n- ⚠️ 模型较大,下载可能需要几分钟。\n- 请关注控制台日志查看下载进度。\n- 也可手动下载到 📂`ComfyUI\\models\\SEEDVR2` 目录。\n- 模型地址:[这里](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) 和 [这里](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main)。\n\n## ControlNet\n- ⚠️ 绕过(bypass)ControlNet 时,所有开关都会重置。***需要重新逐个设置。***\n- ⚠️ 必须开启 I2I 图片,ControlNet 才会生效。\n\n### 模型补丁(Model patch)\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- 推荐使用 **2.1** 版本\n\n### LUT\n- 可在此免费获取 LUT:[HERE](https://freshluts.com)\n- 文件存放位置见下方\n\n***DING!***(播放声音)\n- 仅便携版支持\n- 自定义声音方法见下方说明\n- 需手动输入文件名(区分大小写)\n\n### 常用节点链接:\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n[Controlnet Aux](https://github.com/Fannovel16/comfyui_controlnet_aux) \n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack) \n[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts) \n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n[Use Everywhere](https://github.com/chrisgoringe/cg-use-everywhere) \n[Virtuoso nodes](https://github.com/chrisfreilich/virtuoso-nodes) \n[JWS Nodes](https://github.com/jamesWalker55/comfyui-various) (resize 节点选项,若无法加载) \n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3) \n[Seed Variance Enhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer) \n[Captain Flowmatch](https://github.com/capitan01R/ComfyUI-CapitanFlowMatch) \n[Captain Flowmatch Conditioning Enhancer](https://github.com/capitan01R/Capitan-ConditioningEnhancer) \n[Prompt Reader Nodes](https://github.com/receyuki/comfyui-prompt-reader-node?tab=readme-ov-file#installation)\n\n[Optical Realism](https://github.com/skatardude10/ComfyUI-Optical-Realism)\n\n### 存储路径\n```\n📂 ComfyUI/\n├─📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── LUT 文件\n│ ├── 📂 SEED VR2\n│ │ └── 所有相关文件\n│ ├── 📂 ultralytics\n│ │ └── 📂 segm\n│ │ └── 检测模型文件\n│ ├── 📂 upscale_models\n│ │ └── 上采样模型(Ersgan、Nickelback 等)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3(或其他 .mp3 声音文件)\n```\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3141, + "type": "LCBatchImageComparer", + "pos": [ + -5580, + -1970 + ], + "size": [ + 320, + 450 + ], + "flags": { + "pinned": true + }, + "order": 194, + "mode": 0, + "inputs": [ + { + "label": "🎨 Post Process", + "name": "image_a", + "shape": 7, + "type": "IMAGE", + "link": 44899 + }, + { + "label": "Held Image", + "name": "image_b", + "shape": 7, + "type": "IMAGE", + "link": 44901 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "5832ec12d24dc0e316809e990ca4bb50852e4b72", + "Node name for S&R": "LCBatchImageComparer", + "comparer_mode": "Slide", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#325A5A", + "bgcolor": "#325A5A" + }, + { + "id": 3001, + "type": "LC Bypasser", + "pos": [ + -8820, + -4460 + ], + "size": [ + 280, + 250 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 245, + "mode": 0, + "inputs": [ + { + "name": "Load Image 1 🖼️", + "type": "*", + "link": 43810 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "Remove Background", + "type": "*", + "link": 43811 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "I2I 🖼️", + "type": "*", + "link": 43813 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "", + "type": "*", + "link": null + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + } + ], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": [ + 43812 + ] + } + ], + "properties": { + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + false + ], + "widgets_values_named": { + "Enable Load Image 1 🖼️": true, + "Enable Remove Background": false, + "Enable I2I 🖼️": false + }, + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 3143, + "type": "Label (rgthree)", + "pos": [ + -8820, + -4520 + ], + "size": [ + 326.984375, + 16 + ], + "flags": { + "allow_interaction": true + }, + "order": 115, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "💡 adjust Max resolution down for low VRAM ", + "properties": { + "fontSize": 16, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 3138, + "type": "LCLastImageHolder", + "pos": [ + -5890, + -1970 + ], + "size": [ + 300, + 450 + ], + "flags": { + "pinned": true + }, + "order": 164, + "mode": 0, + "inputs": [ + { + "name": "new_image", + "shape": 7, + "type": "IMAGE", + "link": 44898 + } + ], + "outputs": [ + { + "name": "held image", + "type": "IMAGE", + "links": [ + 44901 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "5832ec12d24dc0e316809e990ca4bb50852e4b72", + "Node name for S&R": "LCLastImageHolder", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "hold until cleared", + "clear_btn" + ], + "widgets_values_named": { + "mode": "hold until cleared", + "Clear held image": "clear_btn" + }, + "color": "#324B4B", + "bgcolor": "#324B4B" + }, + { + "id": 2089, + "type": "RMBG", + "pos": [ + -8490, + -4550 + ], + "size": [ + 240, + 300 + ], + "flags": { + "collapsed": true + }, + "order": 179, + "mode": 4, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 44070 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 19014, + 43811, + 44077 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": null + }, + { + "name": "MASK_IMAGE", + "type": "IMAGE", + "links": null + } + ], + "title": "Remove Background", + "properties": { + "cnr_id": "comfyui-rmbg", + "ver": "3.0.0", + "Node name for S&R": "RMBG", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.7" + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "widgets_values": [ + "RMBG-2.0", + 1, + 1024, + 0, + 0, + false, + false, + "Color", + "#222222" + ], + "widgets_values_named": { + "model": "RMBG-2.0", + "sensitivity": 1, + "process_res": 1024, + "mask_blur": 0, + "mask_offset": 0, + "invert_output": false, + "refine_foreground": false, + "background": "Color", + "background_color": "#222222" + }, + "color": "#222e40", + "bgcolor": "#364254" + }, + { + "id": 3224, + "type": "Label (rgthree)", + "pos": [ + -7220, + -3370 + ], + "size": [ + 435.640625, + 16 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 116, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "🖼️2🖼️ and other 🖼️⚙️ are now in the Image area (Top Left)", + "properties": { + "fontSize": 16, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 3144, + "type": "MarkdownNote", + "pos": [ + -6740, + -2150 + ], + "size": [ + 790, + 640 + ], + "flags": { + "pinned": true + }, + "order": 117, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "# LC123 Performance Settings ⚙️", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# LC123 Performance Settings ⚙️\n\n> **UI only** — smoother scrolling and lighter on-node previews. \n> These settings do **not** change generation VRAM, model load, or output image quality on the sockets.\n\n---\n\n## Where to find them\n\n1. Open **ComfyUI Settings** (gear).\n2. In the sidebar, open **LC123**.\n3. Open **Performance**.\n\nIf you don’t see the full list: restart ComfyUI, then **Ctrl+F5** (hard refresh) so the updated `web/lc_performance_settings.js` loads.\n\n---\n\n## What each option does\n\n| Setting | Default | What it does |\n|--------|---------|----------------|\n| **Remove wipe** | Off | Turns off hover A/B wipe on **image FX** nodes. Last result still shows. |\n| **Half-resolution previews** | Off | Draws FX previews at **half** the node’s image area (less GPU/CPU work while panning). |\n| **Clamp longest side** | Off | Downscales the **on-node** preview bitmap so the longest side ≤ **Max edge**. |\n| **Max edge (px)** | 768 | Used only when **Clamp longest side** is on. Try 512–1024 on heavy graphs. |\n| **No preview when collapsed** | On | Collapsed FX nodes skip drawing previews (less work while scrolling). |\n| **Hide FX on-node previews** | Off | Hides all LC **image FX** on-node previews. Socket outputs are unchanged. |\n| **Skin Beauty full preview override** | On | **LC Skin Beauty** keeps a **full-quality** on-node preview even if half-res / clamp are on (for zooming skin detail). Wipe still follows **Remove wipe**. |\n\n---\n\n## What is *not* affected\n\nThese stay fully interactive and are **not** driven by the Performance toggles:\n\n- **LC Image Compare 🔎**\n- **LC Dynamic Overlay**\n- **LC Image Split 🖼️**\n\nGeneration, Save Image, and every **IMAGE** output socket still use full resolution.\n\n---\n\n## Suggested setups\n\n### Default (shipped)\nLeave everything at default: full FX previews, wipe on, Skin Beauty override on.\n\n### Heavy graph / laggy scroll\n1. Turn **Half-resolution previews** **On** \n2. Turn **Clamp longest side** **On** (Max edge **512** or **768**) \n3. Keep **No preview when collapsed** **On** \n4. Leave **Skin Beauty full preview override** **On** if you still inspect skin on the node \n\n### Maximum UI lightness\n1. **Hide FX on-node previews** **On** \n2. Or use **Remove wipe** + half-res + clamp \n3. Use **Image Compare** / **Image Split** when you need a wipe \n\n---\n\n## Notes\n\n- Changes apply on the next canvas redraw (panning or queue is enough; no reinstall needed).\n- Optional SAM / LayerStyle / big models are separate from these settings; they still use their own VRAM.\n- Pack files: `web/lc_performance_settings.js`, `web/lc_image_preview.js`\n---\n\n**\"True, nothing is. Permitted, everything is\"**_Yoda Auditore. *Assassin's Wars*\n\n---\n\n---\n\n# LC123 性能设置 ⚙️\n\n> **仅影响界面** — 滚动更顺、节点内预览更轻。 \n> 这些设置**不会**改变生成时的显存占用、模型加载,或输出接口上的图像质量。\n\n---\n\n## 在哪里找到\n\n1. 打开 **ComfyUI 设置**(齿轮图标)。 \n2. 在侧边栏中打开 **LC123**。 \n3. 打开 **Performance**。\n\n如果看不到完整列表:请重启 ComfyUI,然后按 **Ctrl+F5**(强制刷新),以便加载更新后的 `web/lc_performance_settings.js`。\n\n---\n\n## 各选项说明\n\n| 设置 | 默认 | 作用 |\n|------|------|------|\n| **Remove wipe** | 关 | 关闭 **图像 FX** 节点上的悬停 A/B 对比条。仍显示最近一次结果。 |\n| **Half-resolution previews** | 关 | 将 FX 预览绘制为节点图像区域的 **一半**(平移时减少 GPU/CPU 负担)。 |\n| **Clamp longest side** | 关 | 缩小 **节点内** 预览位图,使最长边 ≤ **Max edge**。 |\n| **Max edge (px)** | 768 | 仅在开启 **Clamp longest side** 时生效。复杂工作流可试 512–1024。 |\n| **No preview when collapsed** | 开 | 折叠的 FX 节点不再绘制预览(滚动时更省资源)。 |\n| **Hide FX on-node previews** | 关 | 隐藏所有 LC **图像 FX** 的节点内预览。接口输出不变。 |\n| **Skin Beauty full preview override** | 开 | 即使开启半分辨率/最长边限制,**LC Skin Beauty** 仍保持 **全质量** 节点内预览(方便放大看肤质)。对比条仍遵循 **Remove wipe**。 |\n\n---\n\n## 不受影响的内容\n\n以下节点保持完整交互,**不受** Performance 开关控制:\n\n- **LC Image Compare 🔎** \n- **LC Dynamic Overlay** \n- **LC Image Split 🖼️** \n\n生成、Save Image,以及所有 **IMAGE** 输出接口仍使用全分辨率。\n\n---\n\n## 推荐配置\n\n### 默认(出厂)\n全部保持默认:完整 FX 预览、开启对比条、开启 Skin Beauty 覆盖。\n\n### 复杂工作流 / 滚动卡顿\n1. 打开 **Half-resolution previews** \n2. 打开 **Clamp longest side**(Max edge 设为 **512** 或 **768**) \n3. 保持 **No preview when collapsed** 为 **开** \n4. 若仍需在节点上查看皮肤细节,保持 **Skin Beauty full preview override** 为 **开** \n\n### 界面最轻量\n1. 打开 **Hide FX on-node previews** \n2. 或使用 **Remove wipe** + 半分辨率 + 最长边限制 \n3. 需要对比条时使用 **Image Compare** / **Image Split** \n\n---\n\n## 说明\n\n- 更改在下次画布重绘时生效(平移或排队即可,无需重装)。 \n- 可选的 SAM / LayerStyle / 大型模型与这些设置无关,仍会占用各自的显存。 \n- 相关文件:`web/lc_performance_settings.js`、`web/lc_image_preview.js` \n\n---\n\n**\"True, nothing is. Permitted, everything is\"** \n— Yoda Auditore,《Assassin's Wars》" + ], + "widgets_values_named": { + "text": "# LC123 Performance Settings ⚙️\n\n> **UI only** — smoother scrolling and lighter on-node previews. \n> These settings do **not** change generation VRAM, model load, or output image quality on the sockets.\n\n---\n\n## Where to find them\n\n1. Open **ComfyUI Settings** (gear).\n2. In the sidebar, open **LC123**.\n3. Open **Performance**.\n\nIf you don’t see the full list: restart ComfyUI, then **Ctrl+F5** (hard refresh) so the updated `web/lc_performance_settings.js` loads.\n\n---\n\n## What each option does\n\n| Setting | Default | What it does |\n|--------|---------|----------------|\n| **Remove wipe** | Off | Turns off hover A/B wipe on **image FX** nodes. Last result still shows. |\n| **Half-resolution previews** | Off | Draws FX previews at **half** the node’s image area (less GPU/CPU work while panning). |\n| **Clamp longest side** | Off | Downscales the **on-node** preview bitmap so the longest side ≤ **Max edge**. |\n| **Max edge (px)** | 768 | Used only when **Clamp longest side** is on. Try 512–1024 on heavy graphs. |\n| **No preview when collapsed** | On | Collapsed FX nodes skip drawing previews (less work while scrolling). |\n| **Hide FX on-node previews** | Off | Hides all LC **image FX** on-node previews. Socket outputs are unchanged. |\n| **Skin Beauty full preview override** | On | **LC Skin Beauty** keeps a **full-quality** on-node preview even if half-res / clamp are on (for zooming skin detail). Wipe still follows **Remove wipe**. |\n\n---\n\n## What is *not* affected\n\nThese stay fully interactive and are **not** driven by the Performance toggles:\n\n- **LC Image Compare 🔎**\n- **LC Dynamic Overlay**\n- **LC Image Split 🖼️**\n\nGeneration, Save Image, and every **IMAGE** output socket still use full resolution.\n\n---\n\n## Suggested setups\n\n### Default (shipped)\nLeave everything at default: full FX previews, wipe on, Skin Beauty override on.\n\n### Heavy graph / laggy scroll\n1. Turn **Half-resolution previews** **On** \n2. Turn **Clamp longest side** **On** (Max edge **512** or **768**) \n3. Keep **No preview when collapsed** **On** \n4. Leave **Skin Beauty full preview override** **On** if you still inspect skin on the node \n\n### Maximum UI lightness\n1. **Hide FX on-node previews** **On** \n2. Or use **Remove wipe** + half-res + clamp \n3. Use **Image Compare** / **Image Split** when you need a wipe \n\n---\n\n## Notes\n\n- Changes apply on the next canvas redraw (panning or queue is enough; no reinstall needed).\n- Optional SAM / LayerStyle / big models are separate from these settings; they still use their own VRAM.\n- Pack files: `web/lc_performance_settings.js`, `web/lc_image_preview.js`\n---\n\n**\"True, nothing is. Permitted, everything is\"**_Yoda Auditore. *Assassin's Wars*\n\n---\n\n---\n\n# LC123 性能设置 ⚙️\n\n> **仅影响界面** — 滚动更顺、节点内预览更轻。 \n> 这些设置**不会**改变生成时的显存占用、模型加载,或输出接口上的图像质量。\n\n---\n\n## 在哪里找到\n\n1. 打开 **ComfyUI 设置**(齿轮图标)。 \n2. 在侧边栏中打开 **LC123**。 \n3. 打开 **Performance**。\n\n如果看不到完整列表:请重启 ComfyUI,然后按 **Ctrl+F5**(强制刷新),以便加载更新后的 `web/lc_performance_settings.js`。\n\n---\n\n## 各选项说明\n\n| 设置 | 默认 | 作用 |\n|------|------|------|\n| **Remove wipe** | 关 | 关闭 **图像 FX** 节点上的悬停 A/B 对比条。仍显示最近一次结果。 |\n| **Half-resolution previews** | 关 | 将 FX 预览绘制为节点图像区域的 **一半**(平移时减少 GPU/CPU 负担)。 |\n| **Clamp longest side** | 关 | 缩小 **节点内** 预览位图,使最长边 ≤ **Max edge**。 |\n| **Max edge (px)** | 768 | 仅在开启 **Clamp longest side** 时生效。复杂工作流可试 512–1024。 |\n| **No preview when collapsed** | 开 | 折叠的 FX 节点不再绘制预览(滚动时更省资源)。 |\n| **Hide FX on-node previews** | 关 | 隐藏所有 LC **图像 FX** 的节点内预览。接口输出不变。 |\n| **Skin Beauty full preview override** | 开 | 即使开启半分辨率/最长边限制,**LC Skin Beauty** 仍保持 **全质量** 节点内预览(方便放大看肤质)。对比条仍遵循 **Remove wipe**。 |\n\n---\n\n## 不受影响的内容\n\n以下节点保持完整交互,**不受** Performance 开关控制:\n\n- **LC Image Compare 🔎** \n- **LC Dynamic Overlay** \n- **LC Image Split 🖼️** \n\n生成、Save Image,以及所有 **IMAGE** 输出接口仍使用全分辨率。\n\n---\n\n## 推荐配置\n\n### 默认(出厂)\n全部保持默认:完整 FX 预览、开启对比条、开启 Skin Beauty 覆盖。\n\n### 复杂工作流 / 滚动卡顿\n1. 打开 **Half-resolution previews** \n2. 打开 **Clamp longest side**(Max edge 设为 **512** 或 **768**) \n3. 保持 **No preview when collapsed** 为 **开** \n4. 若仍需在节点上查看皮肤细节,保持 **Skin Beauty full preview override** 为 **开** \n\n### 界面最轻量\n1. 打开 **Hide FX on-node previews** \n2. 或使用 **Remove wipe** + 半分辨率 + 最长边限制 \n3. 需要对比条时使用 **Image Compare** / **Image Split** \n\n---\n\n## 说明\n\n- 更改在下次画布重绘时生效(平移或排队即可,无需重装)。 \n- 可选的 SAM / LayerStyle / 大型模型与这些设置无关,仍会占用各自的显存。 \n- 相关文件:`web/lc_performance_settings.js`、`web/lc_image_preview.js` \n\n---\n\n**\"True, nothing is. 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S&R": "LCNotify", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "always", + 0.5, + "group_yay.mp3", + null + ], + "widgets_values_named": { + "mode": "always", + "volume": 0.5, + "file": "group_yay.mp3", + "▶ preview": null + }, + "color": "#649632", + "bgcolor": "#649632" + }, + { + "id": 3268, + "type": "SetNode", + "pos": [ + -1160, + 80 + ], + "size": [ + 210, + 40 + ], + "flags": { + "collapsed": true + }, + "order": 323, + "mode": 0, + "inputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "link": 45579 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": null + } + ], + "title": "Set_Pro Post", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "Pro Post", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Pro Post" + ], + "widgets_values_named": { + "Constant": "Pro Post" + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 3267, + "type": "MarkdownNote", + "pos": [ + -860, + 60 + ], + "size": [ + 370, + 200 + ], + "flags": {}, + "order": 132, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "**LC Notify 🔊**\n- hook to any node outlet.\n- plays a selected sound upon completion\n- select from a list of preloaded sounds or place your own in the folder shown below\n\n\n\n```\n📂 ComfyUI/\n│── 📂 custom_nodes\n│ ├── 📂 ComfyUI_LC123_nodes\n│ │ └── 📂 assets\n│ │ └──📂 sounds\n│ │ └── any .mp3 sound\n```" + ], + "widgets_values_named": { + "text": "**LC Notify 🔊**\n- hook to any node outlet.\n- plays a selected sound upon completion\n- select from a list of preloaded sounds or place your own in the folder shown below\n\n\n\n```\n📂 ComfyUI/\n│── 📂 custom_nodes\n│ ├── 📂 ComfyUI_LC123_nodes\n│ │ └── 📂 assets\n│ │ └──📂 sounds\n│ │ └── any .mp3 sound\n```" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3259, + "type": "Label (rgthree)", + "pos": [ + -1460, + -940 + ], + "size": [ + 246.15234375, + 12 + ], + "flags": { + "allow_interaction": true + }, + "order": 133, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Many Bothans died to bring us this node pack ", + "properties": { + "fontSize": 12, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 3272, + "type": "MarkdownNote", + "pos": [ + -1150, + -690 + ], + "size": [ + 660, + 710 + ], + "flags": {}, + "order": 134, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# LC Skin Beauty ✨\n\nMask-aware skin cooling and brightening for ComfyUI (LC123). Works in **CIELAB** under an auto (or external) skin mask so backgrounds and most clothing stay out of the grade.\n\n---\n\n## Highlights\n\n- **Skin-first, not whole-frame bleach** — correction follows a skin probability mask \n- **Presets that load the sliders** — pick a starting look, then fine-tune what you see \n- **Eyes & lips protected** — auto mask soft-excludes dark eyes and strong lip red \n- **Fabric-aware auto mask** — high local pattern variance is suppressed (prints/weaves) \n- **Highlight & texture controls** — keep specular and pores from going plastic \n- **Optional external MASK** — best quality when you already have a face/skin matte \n- **On-node before/after wipe** — same LC image-FX preview style \n- **Outputs** — graded `image` + `skin_mask` (inspect or reuse downstream)\n\n---\n\n## Features\n\n| Control | What it does |\n|--------|----------------|\n| **preset** | Starting point (Natural, Light, Fresh, Porcelain, Warm keep, Custom). Loads slider values; then sliders are source of truth. |\n| **strength** | How much of the effect to apply (0 = original, 1 = full, >1 = stronger). |\n| **coolness** | Less yellow / cooler skin (LAB b*). |\n| **brightness** | Overall skin lift (whitening), softened on highlights. |\n| **rosy** | Pink/red flush (LAB a*). Negative = less red. |\n| **evenness** | Local color evening under the mask. |\n| **shadow_lift** | Extra lift in dark skin regions. |\n| **smooth** | Mild softening under the mask. |\n| **texture_preserve** | Caps how much smooth can flatten pores. |\n| **saturation** | Skin chroma under the mask (negative = quieter). |\n| **highlight_protect** | Reduce effect on bright specular skin. |\n| **mask_sensitivity** | Auto mask inclusiveness. |\n| **mask_feather** | Softness of mask edges. |\n| **mask** (optional) | External skin matte; blended with auto for precision. |\n\n---\n\n## Getting the most out of it\n\n| Goal | Suggested approach |\n|------|---------------------|\n| **Natural cleanup** | Preset **Natural**, strength **0.7–1.0**. Leave other sliders as loaded. |\n| **Subtle only** | **Light**, strength **0.5–0.8**. |\n| **Clearer / cooler** | **Fresh** or raise **coolness** slightly; keep **highlight_protect** high. |\n| **Strong studio look** | **Porcelain**, strength **≤1.0**; raise **texture_preserve** if it goes plastic. |\n| **Keep warmth** | **Warm keep**, or lower **coolness** and raise **rosy** a little. |\n| **Less eye/lip change** | Already protected in auto mask; if needed, lower **strength** or use an external mask that excludes eyes/mouth. |\n| **Prints still pick up** | Lower **mask_sensitivity**; inspect **skin_mask** output; or feed a real skin **MASK**. |\n| **Hands / body too weak** | Raise **mask_sensitivity** slightly, or paint/segment those areas into **mask**. |\n| **Plastic skin** | Lower **smooth**, raise **texture_preserve**, ease **evenness**. |\n| **Flat highlights** | Raise **highlight_protect**; ease **brightness**. |\n| **Quality check** | Preview **skin_mask** — white = affected, black = left alone. |\n\n---\n\n## Quick workflow\n\n1. Image → **LC Skin Beauty ✨** \n2. Choose a **preset** (sliders update) \n3. Queue once; use the **wipe** to compare \n4. Adjust **strength** first, then one or two sliders \n5. Optional: view **skin_mask**; optional: wire an external **MASK** \n\n---\n\n## Honest limits\n\nAuto mask is **color + structure heuristics**, not a person segmenter. Ornate fabrics and warm bokeh can still leak a little. For critical work, pair with **SAM / face-parse / hand mask** on the **mask** input.\n\n---" + ], + "widgets_values_named": { + "text": "# LC Skin Beauty ✨\n\nMask-aware skin cooling and brightening for ComfyUI (LC123). Works in **CIELAB** under an auto (or external) skin mask so backgrounds and most clothing stay out of the grade.\n\n---\n\n## Highlights\n\n- **Skin-first, not whole-frame bleach** — correction follows a skin probability mask \n- **Presets that load the sliders** — pick a starting look, then fine-tune what you see \n- **Eyes & lips protected** — auto mask soft-excludes dark eyes and strong lip red \n- **Fabric-aware auto mask** — high local pattern variance is suppressed (prints/weaves) \n- **Highlight & texture controls** — keep specular and pores from going plastic \n- **Optional external MASK** — best quality when you already have a face/skin matte \n- **On-node before/after wipe** — same LC image-FX preview style \n- **Outputs** — graded `image` + `skin_mask` (inspect or reuse downstream)\n\n---\n\n## Features\n\n| Control | What it does |\n|--------|----------------|\n| **preset** | Starting point (Natural, Light, Fresh, Porcelain, Warm keep, Custom). Loads slider values; then sliders are source of truth. |\n| **strength** | How much of the effect to apply (0 = original, 1 = full, >1 = stronger). |\n| **coolness** | Less yellow / cooler skin (LAB b*). |\n| **brightness** | Overall skin lift (whitening), softened on highlights. |\n| **rosy** | Pink/red flush (LAB a*). Negative = less red. |\n| **evenness** | Local color evening under the mask. |\n| **shadow_lift** | Extra lift in dark skin regions. |\n| **smooth** | Mild softening under the mask. |\n| **texture_preserve** | Caps how much smooth can flatten pores. |\n| **saturation** | Skin chroma under the mask (negative = quieter). |\n| **highlight_protect** | Reduce effect on bright specular skin. |\n| **mask_sensitivity** | Auto mask inclusiveness. |\n| **mask_feather** | Softness of mask edges. |\n| **mask** (optional) | External skin matte; blended with auto for precision. |\n\n---\n\n## Getting the most out of it\n\n| Goal | Suggested approach |\n|------|---------------------|\n| **Natural cleanup** | Preset **Natural**, strength **0.7–1.0**. Leave other sliders as loaded. |\n| **Subtle only** | **Light**, strength **0.5–0.8**. |\n| **Clearer / cooler** | **Fresh** or raise **coolness** slightly; keep **highlight_protect** high. |\n| **Strong studio look** | **Porcelain**, strength **≤1.0**; raise **texture_preserve** if it goes plastic. |\n| **Keep warmth** | **Warm keep**, or lower **coolness** and raise **rosy** a little. |\n| **Less eye/lip change** | Already protected in auto mask; if needed, lower **strength** or use an external mask that excludes eyes/mouth. |\n| **Prints still pick up** | Lower **mask_sensitivity**; inspect **skin_mask** output; or feed a real skin **MASK**. |\n| **Hands / body too weak** | Raise **mask_sensitivity** slightly, or paint/segment those areas into **mask**. |\n| **Plastic skin** | Lower **smooth**, raise **texture_preserve**, ease **evenness**. |\n| **Flat highlights** | Raise **highlight_protect**; ease **brightness**. |\n| **Quality check** | Preview **skin_mask** — white = affected, black = left alone. |\n\n---\n\n## Quick workflow\n\n1. Image → **LC Skin Beauty ✨** \n2. Choose a **preset** (sliders update) \n3. Queue once; use the **wipe** to compare \n4. Adjust **strength** first, then one or two sliders \n5. Optional: view **skin_mask**; optional: wire an external **MASK** \n\n---\n\n## Honest limits\n\nAuto mask is **color + structure heuristics**, not a person segmenter. Ornate fabrics and warm bokeh can still leak a little. For critical work, pair with **SAM / face-parse / hand mask** on the **mask** input.\n\n---" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3265, + "type": "MarkdownNote", + "pos": [ + -1160, + -1890 + ], + "size": [ + 670, + 1160 + ], + "flags": {}, + "order": 135, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "🎨 Post Processing Notes", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Instructions\n\n# 🛑🚫✋ I HIGHLY suggest that you fix the seed, run the pic, then don’t mess with anything before this so it doesn’t reprocess.\n\n## VRAM issues. See LC123 Performance Settings ⚙️ Note.\n\n### Node order (follow the chain top → bottom)\n\n**Smart Denoise (LCImageDenoise)**\n- Removes noise while trying to keep detail\n- Sigma: higher = smoother, lower = more detail\n- Threshold: how aggressive the denoise is\n- Radius Multiplier: higher for noisy images, lower for clean ones \n💡 Start gentle. Only raise values if the image is actually noisy.\n\n**Color Match (LCColorMatch)**\n- Matches colors to a reference image (usually Image 2)\n- Method: **adain** is the most common and stable\n- Strength: 0–1\n- **Skin protect:** reduces how hard the match hits skin regions (keep faces from shifting hue oddly) \n💡 Great for series consistency. No reference → node can bypass / pass through without erroring.\n\n**Bloom (LCBloom)**\n- Soft glow on bright areas (camera light bloom)\n- Intensity, threshold, and size controls \n💡 A little makes it dreamy. A lot makes it foggy.\n\n**Vignette (LCVignette)**\n- Darkens (or lightens) the edges\n- Amount, softness, and roundness \n💡 Soft vignette looks more natural than hard black borders.\n\n**Image RGB (LCImageRGB)**\n- Simple red / green / blue channel gain\n\n**Lift / Gamma / Gain (LCLiftGammaGain)**\n- Classic three-way color corrector\n- Lift = shadows · Gamma = midtones · Gain = highlights \n💡 This is where most “film look” color work happens.\n\n**Auto White Balance (LCAutoWhiteBalance)**\n- Tries to neutralize overall color cast\n- Method: “Shades of Gray” is usually safest \n💡 Effect is subtle — compare before/after.\n\n**Vibrance (LCVibrance)**\n- Boosts muted colors without destroying already-saturated areas\n- Kinder to skin than normal saturation\n- Vibrance + Saturation + Strength \n💡 Prefer this over regular saturation for portraits.\n\n**Chromatic Aberration (LCChromaticAberration)**\n- Shifts RGB channels for a 3-D / vintage lens look\n- Separate horizontal/vertical amounts for R, G, B \n💡 A little goes a long way. Try small opposite values (R +2, G –1, B –3).\n\n**Sharpen Pro (LCSharpenPro)**\n- **Photorealism-first** mid-tone clarity + edge sharpen (not “ink outline” by default)\n- **Clarity** = local structure · **Sharpen** = finer edge detail · **Strength** = overall mix vs original\n- **Halo** + auto-raise when sharpen is high · **Skin protect** for faces\n- Advanced: radius, blend mode, shadow / highlight protect\n- **Presets fill the sliders** (moving a slider → **Custom**):\n - **Realism:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **Art:** Lineart · Anime sharp \n💡 Start **Natural** or **Portrait** for influencers / NSFW realism. Raise clarity before sharpen. Use **Lineart / Anime sharp** only when you want deliberate edge punch.\n\n**Image Adjust (LCImageAdjust)**\n- Brightness, Contrast, Saturation, Sharpness, Blur\n- Brightness center = 0\n- Contrast & Saturation center = 1\n\n**LC Skin Beauty ✨**\n- See Skin Beauty ✨ markdown Note\n\n**Lens FX (LCLensFX)**\n- General lens distortion and optical effects \n💡 Pair with the next node for more realistic camera simulation.\n\n**Lens Profile (LCLensProfile)**\n- Applies real lens characteristics (e.g. Canon 50mm f/1.8)\n- Optional aberrations \n💡 Adds subtle optical imperfections that make AI images feel more photographic.\n\n**Film Stock B&W (LCFilmStockBW)**\n- Converts to black & white using real film responses\n- 50+ stocks (Ilford HP5+, Kodak Tri-X, Fuji Acros, etc.)\n- Strength + optional filter \n💡 Leave this off if you want to keep color.\n\n**Film Stock Color (LCFilmStockColor)**\n- Applies classic color film response (Ektachrome, Portra, etc.)\n- Strength is the main control \n💡 0.6–0.9 often looks more natural than full strength.\n\n**Film Grain (LCFilmGrain)**\n- Realistic film grain with lots of control\n- Power, scale, shadows/highlights, seed \n💡 Fixed seed keeps the grain consistent. Slightly more grain in shadows usually looks better.\n\n**Desaturate (LCImageDesaturate)**\n- Partial or full desaturation\n- Several methods (luminance Rec.709 is common) \n💡 Useful right before a LUT if you want a muted base.\n\n**Apply LUT (LCApplyLUT)**\n- Applies a 3D LUT (`.cube` file)\n- Strength 0–1 · Log option for certain LUTs\n- **Does not download LUTs from the internet.** \n Put `.cube` files in the folder below yourself (or keep whatever the pack may have **seeded once** from `assets/luts/` into `models/luts/` without overwriting files you already have).\n\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n💡 Free LUTs: freshluts.com. Strength **0.3–0.7** is often nicer than 1.0.\n\n**Image Crop (LCImageCrop)**\n- Inline crop tool\n- X / Y / Width / Height or free mode \n💡 Crop after all effects so you don’t lose edge treatments (vignette, bloom, etc.).\n\n**Text Overlay (LCTextOverlay)**\n- Adds text on the final image\n- Font, size, color, **alignment** (left / center / right), position, opacity\n- Applies on 2nd run\n\n**LC Watermark 💧 (LCWatermark)**\n- Dynamically adds any image as a watermark\n- Adjust size, location, and opacity\n- Applies on the 2nd run\n\n---\n\n## 使用说明\n\n# 🛑🚫✋ 强烈建议你先固定 seed,跑完图片,然后不要再动之前的任何设置,以免重新处理。\n\n## 显存(VRAM)相关问题。请参阅 LC123 Performance Settings ⚙️(性能设置说明)。\n\n### 节点顺序(按链条从上到下)\n\n**智能降噪 (LCImageDenoise)**\n- 在尽量保留细节的同时去除噪点\n- Sigma:数值高更平滑,低则保留更多细节\n- Threshold:控制降噪强度\n- Radius Multiplier:噪点多的图用高值,干净的图用低值 \n💡 从低数值开始。只有真正很噪的时候才提高。\n\n**颜色匹配 (LCColorMatch)**\n- 让当前图匹配参考图(通常是 Image 2)的色调\n- 方法:**adain** 最常用也最稳定\n- 强度:0–1\n- **皮肤保护 (Skin protect):** 减轻匹配对皮肤区域的力度,避免脸部色相被“拉偏” \n💡 做系列图统一肤色或情绪时很好用。没有参考图时可旁路/直通,不会报错。\n\n**光晕 (LCBloom)**\n- 给高光加柔和辉光,模拟相机过曝\n- 强度、阈值、大小 \n💡 少用一点很梦幻,多用就变雾了。\n\n**暗角 (LCVignette)**\n- 压暗(或提亮)边缘\n- 强度、柔和度、圆度 \n💡 柔和暗角比硬黑边自然得多。\n\n**RGB 调整 (LCImageRGB)**\n- 简单的红 / 绿 / 蓝通道增益\n\n**Lift / Gamma / Gain (LCLiftGammaGain)**\n- 经典三点校色\n- Lift = 阴影 · Gamma = 中间调 · Gain = 高光 \n💡 大部分“胶片感”颜色工作都在这里完成。\n\n**自动白平衡 (LCAutoWhiteBalance)**\n- 尝试中和整体色偏\n- 方法:“Shades of Gray” 通常最稳妥 \n💡 效果比较细微,记得对比前后。\n\n**自然饱和度 (LCVibrance)**\n- 提升不饱和颜色,对已经很艳的颜色和肤色更友好\n- 自然饱和度 + 饱和度 + 强度 \n💡 人像优先用这个,而不是普通饱和度。\n\n**色差 (LCChromaticAberration)**\n- 错开 RGB 通道,做出 3D / 复古镜头感\n- 可分别调整红、绿、蓝的水平和垂直偏移 \n💡 一点就够。可以试小相反数值(R +2,G –1,B –3)。\n\n**锐化专业版 (LCSharpenPro)**\n- **以真实感优先**的中调清晰度 + 边缘锐化(默认不是“描边/线稿感”)\n- **Clarity** = 局部结构 · **Sharpen** = 更细的边缘 · **Strength** = 与原图的混合比例\n- **Halo**,且锐化较高时会自动抬高 · **Skin protect** 保护脸部\n- 高级:半径、混合模式、阴影/高光保护\n- **预设会填充滑条**(一动滑条就变成 **Custom**):\n - **写实:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **艺术:** Lineart · Anime sharp \n💡 网红/写实/NSFW 先用 **Natural** 或 **Portrait**,先加 clarity 再加 sharpen。只有需要明显线感时才用 **Lineart / Anime sharp**。\n\n**图像调整 (LCImageAdjust)**\n- 亮度、对比度、饱和度、锐度、模糊\n- 亮度中心 = 0\n- 对比度与饱和度中心 = 1\n\n**LC Skin Beauty ✨**\n- 详见 Skin Beauty ✨ 的 Markdown 说明文档\n\n**镜头特效 (LCLensFX)**\n- 通用镜头畸变和光学效果 \n💡 和下一个节点一起用,模拟更真实的相机光学。\n\n**镜头配置文件 (LCLensProfile)**\n- 应用真实镜头特性(例如 Canon 50mm f/1.8)\n- 可选色差 \n💡 给 AI 图加一点真实光学瑕疵,照片感会强很多。\n\n**黑白胶片 (LCFilmStockBW)**\n- 用真实胶片光谱响应转黑白\n- 50+ 种胶片(Ilford HP5+、Kodak Tri-X、Fuji Acros 等)\n- 强度 + 可选滤镜 \n💡 想留彩色就关掉这个。\n\n**彩色胶片 (LCFilmStockColor)**\n- 应用经典彩色胶片响应(Ektachrome、Portra 等)\n- 强度是主要控制 \n💡 0.6–0.9 往往比满强度更自然。\n\n**胶片颗粒 (LCFilmGrain)**\n- 可精细控制的真实胶片颗粒\n- 强度、缩放、阴影/高光、种子 \n💡 固定种子可以让颗粒保持一致。阴影区域颗粒稍强通常更好看。\n\n**去饱和 (LCImageDesaturate)**\n- 部分或完全去饱和\n- 多种方法可选(luminance Rec.709 较常用) \n💡 在套 LUT 之前用,可以做出更柔和的基础色。\n\n**应用 LUT (LCApplyLUT)**\n- 套用 3D LUT(`.cube` 文件)\n- 强度 0–1 · Log 选项(部分 LUT 需要)\n- **不会从网上自动下载 LUT。** \n 请自行把 `.cube` 放到下面的目录(或保留节点包可能从 `assets/luts/` **一次性拷贝**到 `models/luts/` 的文件;**不会覆盖**你已有的同名文件)。\n\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n💡 免费 LUT:freshluts.com。强度 **0.3–0.7** 通常比 1.0 更好看。\n\n**裁剪 (LCImageCrop)**\n- 内联裁剪工具\n- X / Y / 宽 / 高 或 free 模式 \n💡 所有效果做完再裁,才不会丢掉边缘处理(暗角、光晕等)。\n\n**文字叠加 (LCTextOverlay)**\n- 在最终图上加文字\n- 字体、大小、颜色、**对齐**(左 / 中 / 右)、位置、透明度\n- 第 2 次运行时应用\n\n**LC 水印 💧(LCWatermark)**\n- 可动态将任意图片添加为水印\n- 可调节大小、位置和透明度\n- 第 2 次运行时应用效果\n" + ], + "widgets_values_named": { + "text": "## Instructions\n\n# 🛑🚫✋ I HIGHLY suggest that you fix the seed, run the pic, then don’t mess with anything before this so it doesn’t reprocess.\n\n## VRAM issues. See LC123 Performance Settings ⚙️ Note.\n\n### Node order (follow the chain top → bottom)\n\n**Smart Denoise (LCImageDenoise)**\n- Removes noise while trying to keep detail\n- Sigma: higher = smoother, lower = more detail\n- Threshold: how aggressive the denoise is\n- Radius Multiplier: higher for noisy images, lower for clean ones \n💡 Start gentle. Only raise values if the image is actually noisy.\n\n**Color Match (LCColorMatch)**\n- Matches colors to a reference image (usually Image 2)\n- Method: **adain** is the most common and stable\n- Strength: 0–1\n- **Skin protect:** reduces how hard the match hits skin regions (keep faces from shifting hue oddly) \n💡 Great for series consistency. No reference → node can bypass / pass through without erroring.\n\n**Bloom (LCBloom)**\n- Soft glow on bright areas (camera light bloom)\n- Intensity, threshold, and size controls \n💡 A little makes it dreamy. A lot makes it foggy.\n\n**Vignette (LCVignette)**\n- Darkens (or lightens) the edges\n- Amount, softness, and roundness \n💡 Soft vignette looks more natural than hard black borders.\n\n**Image RGB (LCImageRGB)**\n- Simple red / green / blue channel gain\n\n**Lift / Gamma / Gain (LCLiftGammaGain)**\n- Classic three-way color corrector\n- Lift = shadows · Gamma = midtones · Gain = highlights \n💡 This is where most “film look” color work happens.\n\n**Auto White Balance (LCAutoWhiteBalance)**\n- Tries to neutralize overall color cast\n- Method: “Shades of Gray” is usually safest \n💡 Effect is subtle — compare before/after.\n\n**Vibrance (LCVibrance)**\n- Boosts muted colors without destroying already-saturated areas\n- Kinder to skin than normal saturation\n- Vibrance + Saturation + Strength \n💡 Prefer this over regular saturation for portraits.\n\n**Chromatic Aberration (LCChromaticAberration)**\n- Shifts RGB channels for a 3-D / vintage lens look\n- Separate horizontal/vertical amounts for R, G, B \n💡 A little goes a long way. Try small opposite values (R +2, G –1, B –3).\n\n**Sharpen Pro (LCSharpenPro)**\n- **Photorealism-first** mid-tone clarity + edge sharpen (not “ink outline” by default)\n- **Clarity** = local structure · **Sharpen** = finer edge detail · **Strength** = overall mix vs original\n- **Halo** + auto-raise when sharpen is high · **Skin protect** for faces\n- Advanced: radius, blend mode, shadow / highlight protect\n- **Presets fill the sliders** (moving a slider → **Custom**):\n - **Realism:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **Art:** Lineart · Anime sharp \n💡 Start **Natural** or **Portrait** for influencers / NSFW realism. Raise clarity before sharpen. Use **Lineart / Anime sharp** only when you want deliberate edge punch.\n\n**Image Adjust (LCImageAdjust)**\n- Brightness, Contrast, Saturation, Sharpness, Blur\n- Brightness center = 0\n- Contrast & Saturation center = 1\n\n**LC Skin Beauty ✨**\n- See Skin Beauty ✨ markdown Note\n\n**Lens FX (LCLensFX)**\n- General lens distortion and optical effects \n💡 Pair with the next node for more realistic camera simulation.\n\n**Lens Profile (LCLensProfile)**\n- Applies real lens characteristics (e.g. Canon 50mm f/1.8)\n- Optional aberrations \n💡 Adds subtle optical imperfections that make AI images feel more photographic.\n\n**Film Stock B&W (LCFilmStockBW)**\n- Converts to black & white using real film responses\n- 50+ stocks (Ilford HP5+, Kodak Tri-X, Fuji Acros, etc.)\n- Strength + optional filter \n💡 Leave this off if you want to keep color.\n\n**Film Stock Color (LCFilmStockColor)**\n- Applies classic color film response (Ektachrome, Portra, etc.)\n- Strength is the main control \n💡 0.6–0.9 often looks more natural than full strength.\n\n**Film Grain (LCFilmGrain)**\n- Realistic film grain with lots of control\n- Power, scale, shadows/highlights, seed \n💡 Fixed seed keeps the grain consistent. Slightly more grain in shadows usually looks better.\n\n**Desaturate (LCImageDesaturate)**\n- Partial or full desaturation\n- Several methods (luminance Rec.709 is common) \n💡 Useful right before a LUT if you want a muted base.\n\n**Apply LUT (LCApplyLUT)**\n- Applies a 3D LUT (`.cube` file)\n- Strength 0–1 · Log option for certain LUTs\n- **Does not download LUTs from the internet.** \n Put `.cube` files in the folder below yourself (or keep whatever the pack may have **seeded once** from `assets/luts/` into `models/luts/` without overwriting files you already have).\n\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n💡 Free LUTs: freshluts.com. Strength **0.3–0.7** is often nicer than 1.0.\n\n**Image Crop (LCImageCrop)**\n- Inline crop tool\n- X / Y / Width / Height or free mode \n💡 Crop after all effects so you don’t lose edge treatments (vignette, bloom, etc.).\n\n**Text Overlay (LCTextOverlay)**\n- Adds text on the final image\n- Font, size, color, **alignment** (left / center / right), position, opacity\n- Applies on 2nd run\n\n**LC Watermark 💧 (LCWatermark)**\n- Dynamically adds any image as a watermark\n- Adjust size, location, and opacity\n- Applies on the 2nd run\n\n---\n\n## 使用说明\n\n# 🛑🚫✋ 强烈建议你先固定 seed,跑完图片,然后不要再动之前的任何设置,以免重新处理。\n\n## 显存(VRAM)相关问题。请参阅 LC123 Performance Settings ⚙️(性能设置说明)。\n\n### 节点顺序(按链条从上到下)\n\n**智能降噪 (LCImageDenoise)**\n- 在尽量保留细节的同时去除噪点\n- Sigma:数值高更平滑,低则保留更多细节\n- Threshold:控制降噪强度\n- Radius Multiplier:噪点多的图用高值,干净的图用低值 \n💡 从低数值开始。只有真正很噪的时候才提高。\n\n**颜色匹配 (LCColorMatch)**\n- 让当前图匹配参考图(通常是 Image 2)的色调\n- 方法:**adain** 最常用也最稳定\n- 强度:0–1\n- **皮肤保护 (Skin protect):** 减轻匹配对皮肤区域的力度,避免脸部色相被“拉偏” \n💡 做系列图统一肤色或情绪时很好用。没有参考图时可旁路/直通,不会报错。\n\n**光晕 (LCBloom)**\n- 给高光加柔和辉光,模拟相机过曝\n- 强度、阈值、大小 \n💡 少用一点很梦幻,多用就变雾了。\n\n**暗角 (LCVignette)**\n- 压暗(或提亮)边缘\n- 强度、柔和度、圆度 \n💡 柔和暗角比硬黑边自然得多。\n\n**RGB 调整 (LCImageRGB)**\n- 简单的红 / 绿 / 蓝通道增益\n\n**Lift / Gamma / Gain (LCLiftGammaGain)**\n- 经典三点校色\n- Lift = 阴影 · Gamma = 中间调 · Gain = 高光 \n💡 大部分“胶片感”颜色工作都在这里完成。\n\n**自动白平衡 (LCAutoWhiteBalance)**\n- 尝试中和整体色偏\n- 方法:“Shades of Gray” 通常最稳妥 \n💡 效果比较细微,记得对比前后。\n\n**自然饱和度 (LCVibrance)**\n- 提升不饱和颜色,对已经很艳的颜色和肤色更友好\n- 自然饱和度 + 饱和度 + 强度 \n💡 人像优先用这个,而不是普通饱和度。\n\n**色差 (LCChromaticAberration)**\n- 错开 RGB 通道,做出 3D / 复古镜头感\n- 可分别调整红、绿、蓝的水平和垂直偏移 \n💡 一点就够。可以试小相反数值(R +2,G –1,B –3)。\n\n**锐化专业版 (LCSharpenPro)**\n- **以真实感优先**的中调清晰度 + 边缘锐化(默认不是“描边/线稿感”)\n- **Clarity** = 局部结构 · **Sharpen** = 更细的边缘 · **Strength** = 与原图的混合比例\n- **Halo**,且锐化较高时会自动抬高 · **Skin protect** 保护脸部\n- 高级:半径、混合模式、阴影/高光保护\n- **预设会填充滑条**(一动滑条就变成 **Custom**):\n - **写实:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **艺术:** Lineart · Anime sharp \n💡 网红/写实/NSFW 先用 **Natural** 或 **Portrait**,先加 clarity 再加 sharpen。只有需要明显线感时才用 **Lineart / Anime sharp**。\n\n**图像调整 (LCImageAdjust)**\n- 亮度、对比度、饱和度、锐度、模糊\n- 亮度中心 = 0\n- 对比度与饱和度中心 = 1\n\n**LC Skin Beauty ✨**\n- 详见 Skin Beauty ✨ 的 Markdown 说明文档\n\n**镜头特效 (LCLensFX)**\n- 通用镜头畸变和光学效果 \n💡 和下一个节点一起用,模拟更真实的相机光学。\n\n**镜头配置文件 (LCLensProfile)**\n- 应用真实镜头特性(例如 Canon 50mm f/1.8)\n- 可选色差 \n💡 给 AI 图加一点真实光学瑕疵,照片感会强很多。\n\n**黑白胶片 (LCFilmStockBW)**\n- 用真实胶片光谱响应转黑白\n- 50+ 种胶片(Ilford HP5+、Kodak Tri-X、Fuji Acros 等)\n- 强度 + 可选滤镜 \n💡 想留彩色就关掉这个。\n\n**彩色胶片 (LCFilmStockColor)**\n- 应用经典彩色胶片响应(Ektachrome、Portra 等)\n- 强度是主要控制 \n💡 0.6–0.9 往往比满强度更自然。\n\n**胶片颗粒 (LCFilmGrain)**\n- 可精细控制的真实胶片颗粒\n- 强度、缩放、阴影/高光、种子 \n💡 固定种子可以让颗粒保持一致。阴影区域颗粒稍强通常更好看。\n\n**去饱和 (LCImageDesaturate)**\n- 部分或完全去饱和\n- 多种方法可选(luminance Rec.709 较常用) \n💡 在套 LUT 之前用,可以做出更柔和的基础色。\n\n**应用 LUT (LCApplyLUT)**\n- 套用 3D LUT(`.cube` 文件)\n- 强度 0–1 · Log 选项(部分 LUT 需要)\n- **不会从网上自动下载 LUT。** \n 请自行把 `.cube` 放到下面的目录(或保留节点包可能从 `assets/luts/` **一次性拷贝**到 `models/luts/` 的文件;**不会覆盖**你已有的同名文件)。\n\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n💡 免费 LUT:freshluts.com。强度 **0.3–0.7** 通常比 1.0 更好看。\n\n**裁剪 (LCImageCrop)**\n- 内联裁剪工具\n- X / Y / 宽 / 高 或 free 模式 \n💡 所有效果做完再裁,才不会丢掉边缘处理(暗角、光晕等)。\n\n**文字叠加 (LCTextOverlay)**\n- 在最终图上加文字\n- 字体、大小、颜色、**对齐**(左 / 中 / 右)、位置、透明度\n- 第 2 次运行时应用\n\n**LC 水印 💧(LCWatermark)**\n- 可动态将任意图片添加为水印\n- 可调节大小、位置和透明度\n- 第 2 次运行时应用效果\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 172, + "type": "Image Comparer (rgthree)", + "pos": [ + -5190, + -2860 + ], + "size": [ + 1170, + 1740 + ], + "flags": { + "pinned": true + }, + "order": 163, + "mode": 0, + "inputs": [ + { + "dir": 3, + "label": "Final Image", + "name": "image_a", + "type": "IMAGE", + "link": 513 + }, + { + "dir": 3, + "label": "Rough Draft", + "name": "image_b", + "type": "IMAGE", + "link": 514 + } + ], + "outputs": [ + { + "dir": 4, + "name": "images", + "shape": 3, + "type": "IMAGE", + "links": null + 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notes/ 笔记", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "### Instructions:\n- You can use a LoRA if you want, butI rearly do. I typically generate the entire image and make adjustments with the detailer prompt\n- **detailer prompt:** \"green eyes\", \"ring on finger\", nose piercing\", \"red lipstick\".\n- **feather** 8-12\n- **denoise** set lower than what you are used to for other detailers. 0.3 -0.5\n- **blend strength** this is how much overlay or blend it has with the original image. Lower values mean less inpainted image. *💡 change this with denoise (make one higher while lowering the other) to get better results.* \n\n\n\n\n\n### Sam3 nodes\n\n- **prompt:** \"face\", \"eyes\", \"woman face\", \"scarf\", etc.\n- text_threshold: 0.25–0.35 (lower = more sensitive).\n- min_mask_area: 0.001 (lower for tiny/distant objects).\n- crop_padding: 64–128 pixels.\n- mask_dilation: 6–10 (thickens mask to avoid holes).\n- inpaint_resolution: 768+ (higher = better detail).\n- denoise: 0.4–0.6 (subtle changes).\n- blend_mode: \"feather\" (smooth edges).\n- 💡**For small faces:** Lower min_mask_area/text_threshold, increase padding/resolution.\n\n---\n\n\n### 使用说明:\n- 你可以加载 LoRA,但**我很少使用**。我通常先生成整张图像,然后用 detailer prompt 进行细节调整。\n- **detailer prompt 示例**:\"green eyes\", \"ring on finger\", \"nose piercing\", \"red lipstick\"。\n\n- **feather** 8-12 \n- **denoise** 设置比你平时在其他 detailer 中使用的值更低。0.3 - 0.5 \n- **blend strength** 0.75 - 1.0 \n 这是与原始图像的叠加或混合程度。数值越低,修复后的图像占比越小。 \n *💡 将此参数与 denoise 配合调整(一个调高、另一个调低)可获得更好的效果。*\n\n\n\n\n### SAM3 SmartInpainter 节点\n- **prompt**: \"face\", \"eyes\", \"woman face\", \"scarf\" 等。\n- **text_threshold**:0.25–0.35(数值越低越敏感)。\n- **min_mask_area**:0.001(对微小或远处物体可调低)。\n- **crop_padding**:64–128 像素。\n- **mask_dilation**:6–10(加厚遮罩,防止出现空洞)。\n- **inpaint_resolution**:768 以上(越高细节越好)。\n- **denoise**:0.4–0.6(数值越低调整越细微)。\n- **blend_mode**:\"feather\"(羽化边缘,过渡自然)。\n\n- 💡**处理小脸/远距离人脸**:降低 `min_mask_area` 和 `text_threshold`,增加 `crop_padding` 和 `inpaint_resolution`。\n\n\n\n\n" + ], + "widgets_values_named": { + "text": "### Instructions:\n- You can use a LoRA if you want, butI rearly do. I typically generate the entire image and make adjustments with the detailer prompt\n- **detailer prompt:** \"green eyes\", \"ring on finger\", nose piercing\", \"red lipstick\".\n- **feather** 8-12\n- **denoise** set lower than what you are used to for other detailers. 0.3 -0.5\n- **blend strength** this is how much overlay or blend it has with the original image. Lower values mean less inpainted image. *💡 change this with denoise (make one higher while lowering the other) to get better results.* \n\n\n\n\n\n### Sam3 nodes\n\n- **prompt:** \"face\", \"eyes\", \"woman face\", \"scarf\", etc.\n- text_threshold: 0.25–0.35 (lower = more sensitive).\n- min_mask_area: 0.001 (lower for tiny/distant objects).\n- crop_padding: 64–128 pixels.\n- mask_dilation: 6–10 (thickens mask to avoid holes).\n- inpaint_resolution: 768+ (higher = better detail).\n- denoise: 0.4–0.6 (subtle changes).\n- blend_mode: \"feather\" (smooth edges).\n- 💡**For small faces:** Lower min_mask_area/text_threshold, increase padding/resolution.\n\n---\n\n\n### 使用说明:\n- 你可以加载 LoRA,但**我很少使用**。我通常先生成整张图像,然后用 detailer prompt 进行细节调整。\n- **detailer prompt 示例**:\"green eyes\", \"ring on finger\", \"nose piercing\", \"red lipstick\"。\n\n- **feather** 8-12 \n- **denoise** 设置比你平时在其他 detailer 中使用的值更低。0.3 - 0.5 \n- **blend strength** 0.75 - 1.0 \n 这是与原始图像的叠加或混合程度。数值越低,修复后的图像占比越小。 \n *💡 将此参数与 denoise 配合调整(一个调高、另一个调低)可获得更好的效果。*\n\n\n\n\n### SAM3 SmartInpainter 节点\n- **prompt**: \"face\", \"eyes\", \"woman face\", \"scarf\" 等。\n- **text_threshold**:0.25–0.35(数值越低越敏感)。\n- **min_mask_area**:0.001(对微小或远处物体可调低)。\n- **crop_padding**:64–128 像素。\n- **mask_dilation**:6–10(加厚遮罩,防止出现空洞)。\n- **inpaint_resolution**:768 以上(越高细节越好)。\n- **denoise**:0.4–0.6(数值越低调整越细微)。\n- **blend_mode**:\"feather\"(羽化边缘,过渡自然)。\n\n- 💡**处理小脸/远距离人脸**:降低 `min_mask_area` 和 `text_threshold`,增加 `crop_padding` 和 `inpaint_resolution`。\n\n\n\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2994, + "type": "LCBatchImageComparer", + "pos": [ + -1570, + -2600 + ], + "size": [ + 440, + 550 + ], + "flags": { + "pinned": true + }, + "order": 279, + "mode": 4, + "inputs": [ + { + "name": "image_a", + "shape": 7, + "type": "IMAGE", + "link": 43804 + }, + { + "name": "image_b", + "shape": 7, + "type": "IMAGE", + "link": 43805 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCBatchImageComparer", + "comparer_mode": "Slide", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#325A5A", + "bgcolor": "#325A5A" + }, + { + "id": 2749, + "type": "MarkdownNote", + "pos": [ + -3470, + -2940 + ], + "size": [ + 290, + 270 + ], + "flags": { + "pinned": true + }, + "order": 33, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "B&W Color Add notes / 说明", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "### Instructions\n- Process your image as you normally would in color\n- enter simple single word prompts, seperated by commas\n- increase the color as needed\n- adjust saturation and brigtness as needed\n\n**Black & White point**\n- the point where it srarts and stops looking for colors\n - low black and high white are wide\n - acts like detection in a SAM or Dino model\n\n**trimap_erode**\n- acts to make the mask transparant.\n - 50 is middle\n - 0 is solid\n\n**trimap dialate**\n- softens the edges by making them transparant\n- fine balance between this and erode\n - 100 is middle\n - over 150 does nothing\n\n\n---\n\n### 说明\n- 像平常一样以彩色方式处理你的图像\n- 输入简单的单个单词提示,用逗号分隔\n- 根据需要增加颜色\n- 根据需要调整饱和度和亮度\n\n**黑点与白点**\n- 图像开始和停止寻找颜色的阈值点\n - 低黑点和高白点范围较宽\n - 作用类似于 SAM 或 Dino 模型中的检测机制\n\n**trimap_erode**\n\n- 用于使遮罩(mask)变得透明。\n - 50 为中间值(中等透明度)\n - 0 为完全不透明(实心)\n\n**Trimap 膨胀(Dilate**\n\n- 通过让边缘变得透明来柔化边缘\n- 需要与 侵蚀(Erode) 精细平衡使用\n - 100 为中间平衡值\n - 超过 150 则不再产生效果\n\n" + ], + "widgets_values_named": { + "text": "### Instructions\n- Process your image as you normally would in color\n- enter simple single word prompts, seperated by commas\n- increase the color as needed\n- adjust saturation and brigtness as needed\n\n**Black & White point**\n- the point where it srarts and stops looking for colors\n - low black and high white are wide\n - acts like detection in a SAM or Dino model\n\n**trimap_erode**\n- acts to make the mask transparant.\n - 50 is middle\n - 0 is solid\n\n**trimap dialate**\n- softens the edges by making them transparant\n- fine balance between this and erode\n - 100 is middle\n - over 150 does nothing\n\n\n---\n\n### 说明\n- 像平常一样以彩色方式处理你的图像\n- 输入简单的单个单词提示,用逗号分隔\n- 根据需要增加颜色\n- 根据需要调整饱和度和亮度\n\n**黑点与白点**\n- 图像开始和停止寻找颜色的阈值点\n - 低黑点和高白点范围较宽\n - 作用类似于 SAM 或 Dino 模型中的检测机制\n\n**trimap_erode**\n\n- 用于使遮罩(mask)变得透明。\n - 50 为中间值(中等透明度)\n - 0 为完全不透明(实心)\n\n**Trimap 膨胀(Dilate**\n\n- 通过让边缘变得透明来柔化边缘\n- 需要与 侵蚀(Erode) 精细平衡使用\n - 100 为中间平衡值\n - 超过 150 则不再产生效果\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2993, + "type": "LCStop", + "pos": [ + -3720, + -2940 + ], + "size": [ + 240, + 50 + ], + "flags": { + "pinned": true + }, + "order": 147, + "mode": 4, + 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Right now leave it at depth\n\n- **LoRA strength** seems to work best at 1.0\n\n**Krea2 Control Image Encode:**\n- I have it set for \"Match Image Latent\", which automatically resizes it per the workflow size. \n- Crop and other settings are not needed unless you override the latent. \n\n---\n\n### 🥅 ControlNet 使用笔记:\n\n## ⚠️ 🖼️ 必须开启 “Load Image & I2I” 节点!🖼️\n\n[Krea 2 ControlNet 节点](https://github.com/facok/comfyui-krea2-controlnet)\n\n**ControlNet LoRA**\n- [Krea 2 Depth ControlNet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n- 截至 2026 年 7 月 7 日,目前仅支持 **Depth** 模型,未来随着模型更新可能会有更多选项。\n\n**⚙️ 设置推荐**\n- **AIO Preprocessor**:目前建议保持为 **depth**(后续模型更新后可能增加更多选项)\n- **LoRA 强度**:1.0 效果最佳\n\n**Krea2 Control Image Encode:**\n- 推荐设置为 **“Match Image Latent”**,会根据工作流尺寸自动调整分辨率。\n- 除非你手动覆盖 latent,否则不需要开启 Crop 等其他设置。\n" + ], + "widgets_values_named": { + "text": "### 🥅 Controlnet Notes:\n\n## ⚠️ 🖼️Load Image & I2I🖼️ must be on!\n\n[Krea 2 controlnet nodes](https://github.com/facok/comfyui-krea2-controlnet)\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n- I am assuming that as this model advances, there will be more as of July 7th, 2026, only Depth is available.\n\n\n**⚙️ settings**\n- **AIO Preprocessor**: again, I assume this model will get more options. 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"LCBatchImageComparer", + "comparer_mode": "Slide", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#325A5A", + "bgcolor": "#325A5A" + }, + { + "id": 2304, + "type": "MarkdownNote", + "pos": [ + -3450, + -4560 + ], + "size": [ + 300, + 200 + ], + "flags": { + "pinned": true + }, + "order": 46, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Notes/ 笔记", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Settings:\n\n**Denoise:** 0.20 to 0.35 (Max)\n- Anything above 0.40 gives the model too much freedom to \"invent\" new subjects inside a tile. \n- If you still see hallucinations at 0.30 to 0.35, drop to 0.20 - 0.28.\n\n**Tile Padding:** 128 to 512\n\n- Padding allows each tile to \"see\" a bit of the surrounding area. \n- Without enough padding, a tile containing a sleeve doesn't know there is an arm inside it, so it might turn the fabric into a new face.\n\n**Seam Fix Mode:** None or Band Pass\n- ⚠️ Using \"Half Tile\" or \"Area\" seam fixes can sometimes double the chances of hallucinations because they create a second pass over the intersections. If your seams look fine, leave this off.\n\n\n**Low VRAM helper**\n- Set the **image size/x** slider from 1.5-2 and \n- Change **tiled_decode** (at bottom) to \"true\" if it's choking your VRam out. \n\n- ⚠️It will double the amount of tiles you use, so extend processing time and also sacrifice a (little bit) of quality.\n\n\n---\n\n**设置:**\n\n**降噪强度 (Denoise):** 0.20 到 0.35(最大值)\n- 超过 0.40 会给模型过多的自由度,让它在单个 tile 内“凭空创造”新的主体。\n- 如果在 0.30 到 0.35 时仍然出现幻觉(hallucinations),请降低到 0.20 - 0.28。\n\n**Tile Padding(瓦片填充):** 128 到 512\n- 填充值允许每个瓦片“看到”周围区域的部分内容。\n- 如果填充不足,包含衣袖的瓦片就无法感知到里面有手臂,可能会把布料错误地生成新的面部。\n\n**Seam Fix Mode(接缝修复模式):** None 或 Band Pass\n- ⚠️ 使用 “Half Tile” 或 “Area” 接缝修复有时会使幻觉出现的概率翻倍,因为它们会在交叉区域进行第二次处理。如果接缝已经看起来不错,请保持关闭。\n\n**Low VRAM helper(低显存辅助)**\n- 将 **image size/x** 滑块设置为 1.5-2,并\n- 如果显存吃紧,请把底部的 **tiled_decode** 改为 “true”。\n- ⚠️ 这会使瓦片数量翻倍,从而延长处理时间,并略微牺牲一点画质。" + ], + "widgets_values_named": { + "text": "## Settings:\n\n**Denoise:** 0.20 to 0.35 (Max)\n- Anything above 0.40 gives the model too much freedom to \"invent\" new subjects inside a tile. \n- If you still see hallucinations at 0.30 to 0.35, drop to 0.20 - 0.28.\n\n**Tile Padding:** 128 to 512\n\n- Padding allows each tile to \"see\" a bit of the surrounding area. \n- Without enough padding, a tile containing a sleeve doesn't know there is an arm inside it, so it might turn the fabric into a new face.\n\n**Seam Fix Mode:** None or Band Pass\n- ⚠️ Using \"Half Tile\" or \"Area\" seam fixes can sometimes double the chances of hallucinations because they create a second pass over the intersections. If your seams look fine, leave this off.\n\n\n**Low VRAM helper**\n- Set the **image size/x** slider from 1.5-2 and \n- Change **tiled_decode** (at bottom) to \"true\" if it's choking your VRam out. \n\n- ⚠️It will double the amount of tiles you use, so extend processing time and also sacrifice a (little bit) of quality.\n\n\n---\n\n**设置:**\n\n**降噪强度 (Denoise):** 0.20 到 0.35(最大值)\n- 超过 0.40 会给模型过多的自由度,让它在单个 tile 内“凭空创造”新的主体。\n- 如果在 0.30 到 0.35 时仍然出现幻觉(hallucinations),请降低到 0.20 - 0.28。\n\n**Tile Padding(瓦片填充):** 128 到 512\n- 填充值允许每个瓦片“看到”周围区域的部分内容。\n- 如果填充不足,包含衣袖的瓦片就无法感知到里面有手臂,可能会把布料错误地生成新的面部。\n\n**Seam Fix Mode(接缝修复模式):** None 或 Band Pass\n- ⚠️ 使用 “Half Tile” 或 “Area” 接缝修复有时会使幻觉出现的概率翻倍,因为它们会在交叉区域进行第二次处理。如果接缝已经看起来不错,请保持关闭。\n\n**Low VRAM helper(低显存辅助)**\n- 将 **image size/x** 滑块设置为 1.5-2,并\n- 如果显存吃紧,请把底部的 **tiled_decode** 改为 “true”。\n- ⚠️ 这会使瓦片数量翻倍,从而延长处理时间,并略微牺牲一点画质。" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2868, + "type": "mxSlider", + "pos": [ + -3070, + -4740 + ], + "size": [ + 230, + 30 + ], + "flags": { + "pinned": true + }, + "order": 47, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "", + "type": "FLOAT", + "links": [ + 42569 + ] + } + ], + "title": "Upscale Factor", + "properties": { + "cnr_id": "comfyui-mxtoolkit", + "ver": "0.9.92", + "Node name for S&R": "mxSlider", + "value": 2, + "min": 0.5, + "max": 4, + "step": 0.25, + "decimals": 2, + "snap": true, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "widgets_values": [ + 2, + 2, + 1 + ], + "widgets_values_named": { + "Xi": 2, + "Xf": 2, + "isfloatX": 1 + }, + "color": "#aa5f46", + "bgcolor": "#964b32" + }, + { + "id": 2864, + "type": "Fast Groups Bypasser (rgthree)", + "pos": [ + -3070, + -4670 + ], + "size": [ + 230, + 60 + ], + "flags": { + "pinned": true + }, + "order": 48, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "title": "Psst...over here 🤫", + "properties": { + "matchColors": "", + "matchTitle": "Seed VR2 Upscale", + "showNav": false, + "showAllGraphs": true, + "sort": "position", + "customSortAlphabet": "", + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#c3782d", + "bgcolor": "#af6419" + }, + { + "id": 2865, + "type": "MarkdownNote", + "pos": [ + -3070, + -4570 + ], + "size": [ + 230, + 220 + ], + "flags": { + "pinned": true + }, + "order": 49, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "🛑⚠️Super Important", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.6.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Settings\n### Low Vram\n**DIT Model**\n- GGUF model\n- blocks to swap = 36\n- offload to cpu\n\n**VAE**\n- encode & decode tiled = both true\n- encode & decode tile size = 928\n- encode & decode Tile overlap = 96\n- Offload device = CPU\n\n**Max Resolution = 4098**\n\n### High VRAm (16gb or above)\n**DIT Model**\n- FP8 or FP16 \n- blocks to swap = lower the number the better \n- offload = none\n\n**VAE**\n- encode & decode tiled = false\n- encode & decode tile size = 1024\n- encode & decode Tile overlap = 128\n- Offload device = None\n\n**Max Resolution (increase to what you want)**\n\n---\n\n## 設定\n\n### 低顯存模式 (Low VRAM)\n\n**DIT 模型**\n- 使用 GGUF 模型\n- 區塊換出數量 (blocks to swap) = 36\n- 卸載到 CPU (offload to cpu)\n\n**VAE**\n- 編碼與解碼使用分塊處理 (encode & decode tiled) = 兩者皆開啟 (true)\n- 編碼與解碼分塊大小 (tile size) = 928\n- 編碼與解碼分塊重疊區域 (Tile overlap) = 96\n- 卸載裝置 (Offload device) = CPU\n\n**最大解析度 = 4098**\n\n### 高顯存模式 (16GB 或以上)\n\n**DIT 模型**\n- 使用 FP8 或 FP16\n- 區塊換出數量 (blocks to swap) = 數值越低越好\n- 卸載設定 (offload) = 關閉 (none)\n\n**VAE**\n- 編碼與解碼使用分塊處理 (encode & decode tiled) = 關閉 (false)\n- 編碼與解碼分塊大小 (tile size) = 1024\n- 編碼與解碼分塊重疊區域 (Tile overlap) = 128\n- 卸載裝置 (Offload device) = 無 (None)\n\n**最大解析度** \n(可依需求自行提高到你想要的數值)\n```\n\n" + ], + "widgets_values_named": { + "text": "## Settings\n### Low Vram\n**DIT Model**\n- GGUF model\n- blocks to swap = 36\n- offload to cpu\n\n**VAE**\n- encode & decode tiled = both true\n- encode & decode tile size = 928\n- encode & decode Tile overlap = 96\n- Offload device = CPU\n\n**Max Resolution = 4098**\n\n### High VRAm (16gb or above)\n**DIT Model**\n- FP8 or FP16 \n- blocks to swap = lower the number the better \n- offload = none\n\n**VAE**\n- encode & decode tiled = false\n- encode & decode tile size = 1024\n- encode & decode Tile overlap = 128\n- Offload device = None\n\n**Max Resolution (increase to what you want)**\n\n---\n\n## 設定\n\n### 低顯存模式 (Low VRAM)\n\n**DIT 模型**\n- 使用 GGUF 模型\n- 區塊換出數量 (blocks to swap) = 36\n- 卸載到 CPU (offload to cpu)\n\n**VAE**\n- 編碼與解碼使用分塊處理 (encode & decode tiled) = 兩者皆開啟 (true)\n- 編碼與解碼分塊大小 (tile size) = 928\n- 編碼與解碼分塊重疊區域 (Tile overlap) = 96\n- 卸載裝置 (Offload device) = CPU\n\n**最大解析度 = 4098**\n\n### 高顯存模式 (16GB 或以上)\n\n**DIT 模型**\n- 使用 FP8 或 FP16\n- 區塊換出數量 (blocks to swap) = 數值越低越好\n- 卸載設定 (offload) = 關閉 (none)\n\n**VAE**\n- 編碼與解碼使用分塊處理 (encode & decode tiled) = 關閉 (false)\n- 編碼與解碼分塊大小 (tile size) = 1024\n- 編碼與解碼分塊重疊區域 (Tile overlap) = 128\n- 卸載裝置 (Offload device) = 無 (None)\n\n**最大解析度** \n(可依需求自行提高到你想要的數值)\n```\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1275, + "type": "GetNode", + "pos": [ + -4240, + -4610 + ], + "size": [ + 210, + 50 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 50, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43854 + ] + } + ], + "title": "Get_Prompt Tag", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Prompt Tag" + ], + "widgets_values_named": { + "Constant": "Prompt Tag" + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 2724, + "type": "String", + "pos": [ + -5700, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 51, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43992, + 43995 + ] + } + ], + "title": "Photographic", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "You are a senior Visual Art Director and high-end fashion photography aesthetics expert. Your task is to take the user's short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate artistic beauty, premium cinematic quality, and strong visual tension.\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject cheap influencer aesthetics and create classic, timeless, story-rich artistic images.\n- Create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, etc.) for dramatic visual tension.\n- Give the character graceful poise with emotionally compelling expression, gaze, and posture that conveys serenity, elegance, depth, or poetic feeling.\n- fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional bone structure and facial proportions, deep clear soulful eyes full of story, elegant and serene expression radiating unique high-end aura.\n- **Composition & Artistic Poise**: Classic aesthetic composition using golden ratio or diagonal lines, graceful body posture with elegant extension in hands, shoulders, and neck lines.\n- **Luminous Skin & Delicate Texture**: Healthy translucent luminous skin with subtle satin finish and gentle highlights, fine realistic skin texture that looks refined yet authentic.\n- **Premium Styling & Fabrics**: Luxurious materials such as silk, cashmere, and lace. Rich description of fabric drape, folds, and how light interacts with the fibers.\n- **Hair & Flow**: Natural volume with silky soft sheen, scattered stray hairs and gentle breeze movement for dynamic beauty.\n- **Masterful Lighting**: Highly atmospheric lighting with rim light, soft diffused natural light, or dramatic cool/warm contrast. Light should perfectly sculpt the character's contours and facial dimensionality.\n- **Cinematic Background & Palette**: Artistic, heavily blurred background with beautiful bokeh and shallow depth of field. Colors should complement the subject. Use sophisticated palettes such as Morandi tones, retro film grading, or low-saturation cool/warm contrast.\n- **Aesthetic Keywords**: editorial portrait, cinematic light and shadow, award-winning photography, elegant atmosphere, delicate details, poetic mood.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, texture, and form. Avoid generic compliments. Make every part vivid and cinematic.\n\nOutput only the final expanded prompt. Do not add any explanations or extra text." + ], + "widgets_values_named": { + "String": "You are a senior Visual Art Director and high-end fashion photography aesthetics expert. Your task is to take the user's short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate artistic beauty, premium cinematic quality, and strong visual tension.\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject cheap influencer aesthetics and create classic, timeless, story-rich artistic images.\n- Create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, etc.) for dramatic visual tension.\n- Give the character graceful poise with emotionally compelling expression, gaze, and posture that conveys serenity, elegance, depth, or poetic feeling.\n- fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional bone structure and facial proportions, deep clear soulful eyes full of story, elegant and serene expression radiating unique high-end aura.\n- **Composition & Artistic Poise**: Classic aesthetic composition using golden ratio or diagonal lines, graceful body posture with elegant extension in hands, shoulders, and neck lines.\n- **Luminous Skin & Delicate Texture**: Healthy translucent luminous skin with subtle satin finish and gentle highlights, fine realistic skin texture that looks refined yet authentic.\n- **Premium Styling & Fabrics**: Luxurious materials such as silk, cashmere, and lace. Rich description of fabric drape, folds, and how light interacts with the fibers.\n- **Hair & Flow**: Natural volume with silky soft sheen, scattered stray hairs and gentle breeze movement for dynamic beauty.\n- **Masterful Lighting**: Highly atmospheric lighting with rim light, soft diffused natural light, or dramatic cool/warm contrast. Light should perfectly sculpt the character's contours and facial dimensionality.\n- **Cinematic Background & Palette**: Artistic, heavily blurred background with beautiful bokeh and shallow depth of field. Colors should complement the subject. Use sophisticated palettes such as Morandi tones, retro film grading, or low-saturation cool/warm contrast.\n- **Aesthetic Keywords**: editorial portrait, cinematic light and shadow, award-winning photography, elegant atmosphere, delicate details, poetic mood.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, texture, and form. Avoid generic compliments. Make every part vivid and cinematic.\n\nOutput only the final expanded prompt. Do not add any explanations or extra text." + }, + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 2725, + "type": "String", + "pos": [ + -5430, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 52, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43991, + 43996 + ] + } + ], + "title": "Realistic", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "You are a professional-grade photography prompt generator. Your task is to expand the user's short input into an extremely realistic, cinematic, film-grade prompt for image generation models.\n\n**Strict Rules to Follow:**\n\nGenerate a highly believable natural person with strong real-life presence. The face must be non-template, non-influencer, and non-AI plastic. Use natural facial structure with natural bone structure, non-exaggerated proportions, and authentic skin texture.\n\nApply a slight candid lifestyle feel with realistic lens perspective. Avoid ID photo or obvious studio shot looks.\n\n**Skin is the core focus:** Present unretouched raw film texture. Include visible real pores (especially nose wings, cheeks, forehead), slight oiliness and subtle blackheads on the nose, light uneven powder, fine under-eye lines and slight darkness, clear natural lip lines, small imperfections (tiny moles, vellus hair, color variations), and subtle oil sheen on forehead/nose tip. Strictly forbid plastic, smooth AI skin. The skin must look real but beautiful — healthy, not rough or dirty.\n\n**Hair:** Natural parting, stray hairs and flyaways, distinct individual strands (never clumped or blurred), some light strands sticking to the face. Forbid wig-like or overly smooth advertising hair.\n\n**Lighting:** Natural diffused overcast daylight or soft window light. No strong studio lighting. Keep realistic environmental exposure with slight contrast allowed to preserve details.\n\n**Scene:** Shallow depth of field with blurred background. Use everyday life scenes such as café, street view, or indoor settings. The background must feel real but not steal focus from the subject.\n\n**Strictly Prohibited:** ID photo style, commercial studio retouching, excessive skin smoothing, plastic skin, cartoonish or illustrative style, exaggerated facial feature reshaping.\n\n**Final Output:** Only output one continuous, high-quality prompt paragraph in a single cinematic-grade description. Do not add explanations or extra text." + ], + "widgets_values_named": { + "String": "You are a professional-grade photography prompt generator. Your task is to expand the user's short input into an extremely realistic, cinematic, film-grade prompt for image generation models.\n\n**Strict Rules to Follow:**\n\nGenerate a highly believable natural person with strong real-life presence. The face must be non-template, non-influencer, and non-AI plastic. Use natural facial structure with natural bone structure, non-exaggerated proportions, and authentic skin texture.\n\nApply a slight candid lifestyle feel with realistic lens perspective. Avoid ID photo or obvious studio shot looks.\n\n**Skin is the core focus:** Present unretouched raw film texture. Include visible real pores (especially nose wings, cheeks, forehead), slight oiliness and subtle blackheads on the nose, light uneven powder, fine under-eye lines and slight darkness, clear natural lip lines, small imperfections (tiny moles, vellus hair, color variations), and subtle oil sheen on forehead/nose tip. Strictly forbid plastic, smooth AI skin. The skin must look real but beautiful — healthy, not rough or dirty.\n\n**Hair:** Natural parting, stray hairs and flyaways, distinct individual strands (never clumped or blurred), some light strands sticking to the face. Forbid wig-like or overly smooth advertising hair.\n\n**Lighting:** Natural diffused overcast daylight or soft window light. No strong studio lighting. Keep realistic environmental exposure with slight contrast allowed to preserve details.\n\n**Scene:** Shallow depth of field with blurred background. Use everyday life scenes such as café, street view, or indoor settings. The background must feel real but not steal focus from the subject.\n\n**Strictly Prohibited:** ID photo style, commercial studio retouching, excessive skin smoothing, plastic skin, cartoonish or illustrative style, exaggerated facial feature reshaping.\n\n**Final Output:** Only output one continuous, high-quality prompt paragraph in a single cinematic-grade description. Do not add explanations or extra text." + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 2723, + "type": "String", + "pos": [ + -5970, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 53, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43993, + 43994 + ] + } + ], + "title": "Generic", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "You are an expert prompt engineer for text-to-image models. Your task is to expand the user's prompt into a highly effective image-generation prompt.\nThink step by step about the request before writing the answer:\n\nWhat is the subject and mood?\nWhat visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\nWhat composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\nFollow these rules strictly:\n\nFaithfulness First: Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\nPractical T2I Structure: Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\nStyle Planning Stays Internal: Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\nText Rendering: If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\nAvoid Over-Specification: Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\nStructure: Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\nRespect Existing Detail: If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding — preserve their phrasing and direction.\nNSFW Support: Fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\nPreserve User Medium: When the user explicitly requests a medium (e.g. \"photo of\", \"photograph of\", \"illustration of\", \"painting of\", \"sketch of\", \"3D render of\"), honor it. Do not pivot to a different medium to avoid difficulty — match the user's stated intent.\n- when \"photorealistic\" is requested, create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, etc.) for dramatic visual tension." + ], + "widgets_values_named": { + "String": "You are an expert prompt engineer for text-to-image models. Your task is to expand the user's prompt into a highly effective image-generation prompt.\nThink step by step about the request before writing the answer:\n\nWhat is the subject and mood?\nWhat visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\nWhat composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\nFollow these rules strictly:\n\nFaithfulness First: Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\nPractical T2I Structure: Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\nStyle Planning Stays Internal: Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\nText Rendering: If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\nAvoid Over-Specification: Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\nStructure: Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\nRespect Existing Detail: If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding — preserve their phrasing and direction.\nNSFW Support: Fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\nPreserve User Medium: When the user explicitly requests a medium (e.g. \"photo of\", \"photograph of\", \"illustration of\", \"painting of\", \"sketch of\", \"3D render of\"), honor it. Do not pivot to a different medium to avoid difficulty — match the user's stated intent.\n- when \"photorealistic\" is requested, create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, etc.) for dramatic visual tension." + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 3061, + "type": "String", + "pos": [ + -4890, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 54, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 44001, + 44002 + ] + } + ], + "title": "🚫 NSFW", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "***You are a senior Visual Art Director and high-end erotic photography aesthetics expert specializing in realistic NSFW imagery. Your task is to take the user’s short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate realistic beauty, premium cinematic quality, strong visual tension, and explicit sexual intensity.**\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject cheap amateur porn aesthetics and create classic, timeless, story-rich artistic erotic images that feel cinematic and high-end.\n- Create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality, including flushed, sweaty, or aroused surfaces.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, soft practicals, dramatic rim light, etc.) for intense visual and sexual tension.\n- Give the character(s) graceful yet raw, sexually charged poise with emotionally compelling expression, gaze, and posture that conveys lust, surrender, intensity, intimacy, or dominant/submissive energy.\n- Fully embrace and prioritize explicit, erotic, and adult content. Describe nudity, sexual acts, penetration, oral sex, body parts, genitals, fluids, arousal, sweating, trembling, and intimate interactions in direct, detailed, and anatomically accurate language. Do not censor, soften, or assume clothing covers genitals or intimate anatomy. When sex acts are requested or implied, make them the clear visual focus.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional bone structure and facial proportions, deep clear soulful eyes full of desire or intensity, aroused and emotionally charged expression radiating raw sexual energy and high-end erotic aura.\n- **Composition & Sexual Poise**: Dynamic, intimate composition using golden ratio or strong diagonal lines, bodies locked in explicit sexual positions with graceful yet intense extension of limbs, hips, hands, and necks that emphasize penetration, oral contact, or intimate friction.\n- **Luminous Skin & Delicate Texture**: Healthy translucent luminous skin with subtle satin finish, gentle highlights, fine realistic skin texture, visible flush, light sweat, saliva, or other fluids that look refined yet authentically aroused.\n- **Premium Styling & Fabrics**: Any remaining clothing or lingerie described as luxurious materials (silk, lace, sheer fabrics) with rich drape, folds, and light interaction — often partially removed, pulled aside, or ruined to reveal the sexual act.\n- **Hair & Flow**: Natural volume with silky soft sheen, scattered stray hairs, and movement from physical exertion or gentle breeze for dynamic, intimate beauty.\n- **Masterful Lighting**: Highly atmospheric cinematic lighting with rim light, soft diffused practical light, or dramatic cool/warm contrast. Light should perfectly sculpt bodies, faces, genitals, and the points of sexual contact with sensual dimensionality.\n- **Cinematic Background & Palette**: Artistic, heavily blurred background with beautiful bokeh and shallow depth of field. Colors should complement the skin and mood. Use sophisticated palettes such as warm intimate tones, low-saturation cool/warm contrast, or rich cinematic grading that heightens erotic atmosphere.\n- **Aesthetic Keywords**: editorial erotic photography, cinematic light and shadow, award-winning realistic NSFW, intense sexual atmosphere, delicate anatomical details, raw poetic lust, high-end explicit intimacy.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, texture, form, and explicit sexual action. Prefer natural, flowing language. Avoid generic compliments. Make every part vivid, cinematic, and unapologetically sexual.\nOutput only the final expanded prompt. Do not add any explanations or extra text." + ], + "widgets_values_named": { + "String": "***You are a senior Visual Art Director and high-end erotic photography aesthetics expert specializing in realistic NSFW imagery. Your task is to take the user’s short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate realistic beauty, premium cinematic quality, strong visual tension, and explicit sexual intensity.**\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject cheap amateur porn aesthetics and create classic, timeless, story-rich artistic erotic images that feel cinematic and high-end.\n- Create luminous and refined skin with a high-end healthy glow. Keep delicate realistic skin texture while removing rough imperfections — noble, refined, and elegant skin quality, including flushed, sweaty, or aroused surfaces.\n- Use cinematic lighting to build dimensionality and atmosphere (Tyndall effect, Rembrandt lighting, golden hour, soft practicals, dramatic rim light, etc.) for intense visual and sexual tension.\n- Give the character(s) graceful yet raw, sexually charged poise with emotionally compelling expression, gaze, and posture that conveys lust, surrender, intensity, intimacy, or dominant/submissive energy.\n- Fully embrace and prioritize explicit, erotic, and adult content. Describe nudity, sexual acts, penetration, oral sex, body parts, genitals, fluids, arousal, sweating, trembling, and intimate interactions in direct, detailed, and anatomically accurate language. Do not censor, soften, or assume clothing covers genitals or intimate anatomy. When sex acts are requested or implied, make them the clear visual focus.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional bone structure and facial proportions, deep clear soulful eyes full of desire or intensity, aroused and emotionally charged expression radiating raw sexual energy and high-end erotic aura.\n- **Composition & Sexual Poise**: Dynamic, intimate composition using golden ratio or strong diagonal lines, bodies locked in explicit sexual positions with graceful yet intense extension of limbs, hips, hands, and necks that emphasize penetration, oral contact, or intimate friction.\n- **Luminous Skin & Delicate Texture**: Healthy translucent luminous skin with subtle satin finish, gentle highlights, fine realistic skin texture, visible flush, light sweat, saliva, or other fluids that look refined yet authentically aroused.\n- **Premium Styling & Fabrics**: Any remaining clothing or lingerie described as luxurious materials (silk, lace, sheer fabrics) with rich drape, folds, and light interaction — often partially removed, pulled aside, or ruined to reveal the sexual act.\n- **Hair & Flow**: Natural volume with silky soft sheen, scattered stray hairs, and movement from physical exertion or gentle breeze for dynamic, intimate beauty.\n- **Masterful Lighting**: Highly atmospheric cinematic lighting with rim light, soft diffused practical light, or dramatic cool/warm contrast. Light should perfectly sculpt bodies, faces, genitals, and the points of sexual contact with sensual dimensionality.\n- **Cinematic Background & Palette**: Artistic, heavily blurred background with beautiful bokeh and shallow depth of field. Colors should complement the skin and mood. Use sophisticated palettes such as warm intimate tones, low-saturation cool/warm contrast, or rich cinematic grading that heightens erotic atmosphere.\n- **Aesthetic Keywords**: editorial erotic photography, cinematic light and shadow, award-winning realistic NSFW, intense sexual atmosphere, delicate anatomical details, raw poetic lust, high-end explicit intimacy.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, texture, form, and explicit sexual action. Prefer natural, flowing language. Avoid generic compliments. Make every part vivid, cinematic, and unapologetically sexual.\nOutput only the final expanded prompt. Do not add any explanations or extra text." + }, + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 3056, + "type": "LCAnySwitch", + "pos": [ + -4240, + -4690 + ], + "size": [ + 330, + 190 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 160, + "mode": 0, + "inputs": [ + { + "label": "STRING", + "name": "any_01", + "shape": 7, + "type": "STRING", + "link": 43991 + }, + { + "label": "STRING", + "name": "any_02", + "shape": 7, + "type": "STRING", + "link": 43992 + }, + { + "label": "STRING", + "name": "any_03", + "shape": 7, + "type": "STRING", + "link": 43993 + }, + { + "label": "STRING", + "name": "any_04", + "shape": 7, + "type": "STRING", + "link": 43998 + }, + { + "label": "STRING", + "name": "any_05", + "shape": 7, + "type": "STRING", + "link": 44001 + } + ], + "outputs": [ + { + "label": "STRING", + "name": "STRING", + "type": "STRING", + "links": [ + 43999 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCAnySwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": { + "any_01": true, + "any_02": true, + "any_03": true, + "any_04": true, + "any_05": true, + "any_06": true, + "any_07": true, + "any_08": true, + "any_09": true, + "any_10": true, + "any_11": true, + "any_12": true, + "any_13": true, + "any_14": true, + "any_15": true, + "any_16": true, + "any_17": true, + "any_18": true, + "any_19": true, + "any_20": true + }, + "send_to_any": 0, + "apply_to_unrepeated": 0, + "version": "7.8" + }, + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "lc_w": 330, + "lc_h": 190 + }, + "widgets_values": [ + 5 + ], + "widgets_values_named": { + "inputcount": 5 + }, + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 1263, + "type": "SetNode", + "pos": [ + -4240, + -4050 + ], + "size": [ + 210, + 40 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 159, + "mode": 0, + "inputs": [ + { + "name": "STRING", + "type": "STRING", + "link": 13782 + } + ], + "outputs": [ + { + "name": "*", + "type": "*", + "links": null + } + ], + "title": "Set_prefix", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "prefix" + ], + "widgets_values_named": { + "Constant": "prefix" + }, + "color": "#232", + "bgcolor": "#353", + "shape": 2 + }, + { + "id": 1524, + "type": "DownloadAndLoadFlorence2Model", + "pos": [ + -7880, + -5000 + ], + "size": [ + 340, + 110 + ], + "flags": { + "pinned": true + }, + "order": 55, + "mode": 0, + "inputs": [ + { + "name": "lora", + "shape": 7, + "type": "PEFTLORA", + "link": null + } + ], + "outputs": [ + { + "name": "florence2_model", + "type": "FL2MODEL", + "links": [ + 44004 + ] + } + ], + "properties": { + "cnr_id": "comfyui-florence2", + "ver": "606bc5cd3465d48c66aa573bc1680c9bbe78edd9", + "Node name for S&R": "DownloadAndLoadFlorence2Model", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.7" + } + }, + "widgets_values": [ + "MiaoshouAI/Florence-2-base-PromptGen-v2.0", + "bf16", + "sdpa" + ], + "widgets_values_named": { + "model": "MiaoshouAI/Florence-2-base-PromptGen-v2.0", + "precision": "bf16", + "convert_to_safetensors": "sdpa" + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 2063, + "type": "SetNode", + "pos": [ + -7800, + -4540 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 269, + "mode": 0, + "inputs": [ + { + "name": "STRING", + "type": "STRING", + "link": 43894 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": null + } + ], + "title": "Set_Prompt Tag", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "Prompt Tag", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Prompt Tag" + ], + "widgets_values_named": { + "Constant": "Prompt Tag" + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 2097, + "type": "MarkdownNote", + "pos": [ + -8140, + -4500 + ], + "size": [ + 600, + 200 + ], + "flags": { + "pinned": true + }, + "order": 56, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Notes / 笔记 :", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.7", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Florence Notes:\n\n## ⚠️ Load Image 🖼️ Must be ***ON*** or you will get an error\n\n\n### 💡 I'll typically run this once, cut & paste the prompt out of it, drop it into the prompt area, and edit accordingly. \n\n## settings\n- **Model** any of the *\"prompt_gen_base\"* models work. Size and version affect the outcome.\n- bf16 works just as well as FP16 and is the best balanced choice \n- **caption/ detailed_caption/ more_detailed_caption:** works best for natural language models (Flux, ZIT, Qwen)\n- **prompt_gen_tags:** Good for SDXL, *but...*\n- **⭐ prompt_gen_mixed_caption:** works extremely well for SDXL, ILLU, Pony, N00B as well as for Zit. (mixed reviews on Flux. tends to just double stuff up)\n\n---\n\n## Florence 笔记:\n### 💡 我通常只会运行一次,然后将生成的 prompt 剪切粘贴出来,放入提示词区域,再进行相应编辑。\n\n## 设置\n- **Model**:使用任意 *\"prompt_gen_base\"* 模型即可。模型大小和版本会影响生成效果。\n- bf16 的效果与 FP16 相当,是平衡性最好的选择。\n- **caption / detailed_caption / more_detailed_caption**:最适合自然语言模型(Flux、ZIT、Qwen)。\n- **prompt_gen_tags**:适合 SDXL,*但……*\n- **⭐ prompt_gen_mixed_caption**:对 SDXL、ILLU、Pony、N00B 以及 Zit 效果极佳。(Flux 评价不一,容易出现内容重复。)\n" + ], + "widgets_values_named": { + "text": "## Florence Notes:\n\n## ⚠️ Load Image 🖼️ Must be ***ON*** or you will get an error\n\n\n### 💡 I'll typically run this once, cut & paste the prompt out of it, drop it into the prompt area, and edit accordingly. \n\n## settings\n- **Model** any of the *\"prompt_gen_base\"* models work. Size and version affect the outcome.\n- bf16 works just as well as FP16 and is the best balanced choice \n- **caption/ detailed_caption/ more_detailed_caption:** works best for natural language models (Flux, ZIT, Qwen)\n- **prompt_gen_tags:** Good for SDXL, *but...*\n- **⭐ prompt_gen_mixed_caption:** works extremely well for SDXL, ILLU, Pony, N00B as well as for Zit. (mixed reviews on Flux. tends to just double stuff up)\n\n---\n\n## Florence 笔记:\n### 💡 我通常只会运行一次,然后将生成的 prompt 剪切粘贴出来,放入提示词区域,再进行相应编辑。\n\n## 设置\n- **Model**:使用任意 *\"prompt_gen_base\"* 模型即可。模型大小和版本会影响生成效果。\n- bf16 的效果与 FP16 相当,是平衡性最好的选择。\n- **caption / detailed_caption / more_detailed_caption**:最适合自然语言模型(Flux、ZIT、Qwen)。\n- **prompt_gen_tags**:适合 SDXL,*但……*\n- **⭐ prompt_gen_mixed_caption**:对 SDXL、ILLU、Pony、N00B 以及 Zit 效果极佳。(Flux 评价不一,容易出现内容重复。)\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2066, + "type": "GetNode", + "pos": [ + -8140, + -4540 + ], + "size": [ + 210, + 40 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 57, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "INT", + "type": "INT", + "links": [ + 19004 + ] + } + ], + "title": "Get_Seed", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Seed" + ], + "widgets_values_named": { + "Constant": "Seed" + }, + "color": "#1b4669", + "bgcolor": "#29699c" + }, + { + "id": 3058, + "type": "LC Bypasser Panel", + "pos": [ + -4620, + -5000 + ], + "size": [ + 340, + 174 + ], + "flags": { + "pinned": true + }, + "order": 190, + "mode": 0, + "inputs": [ + { + "name": "hub", + "type": "*", + "link": 43997 + } + ], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "title": "LLM Instruct", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + false, + false, + false + ], + "widgets_values_named": { + "Enable Generic": true, + "Enable Photographic": false, + "Enable Realistic": false, + "Enable Anime": false, + "Enable 🚫 NSFW": false + }, + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 3057, + "type": "LC Bypasser", + "pos": [ + -4240, + -4650 + ], + "size": [ + 260, + 560 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 161, + "mode": 0, + "inputs": [ + { + "name": "Generic", + "type": "*", + "link": 43994 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "Photographic", + "type": "*", + "link": 43995 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "Realistic", + "type": "*", + "link": 43996 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "Anime", + "type": "*", + "link": 44000 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "🚫 NSFW", + "type": "*", + "link": 44002 + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + }, + { + "name": "", + "type": "*", + "link": null + }, + { + "name": "enable", + "type": "BOOLEAN", + "link": null + } + ], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": [ + 43997 + ] + } + ], + "properties": { + "toggleRestriction": "max one", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + false, + false, + false + ], + "widgets_values_named": { + "Enable Generic": true, + "Enable Photographic": false, + "Enable Realistic": false, + "Enable Anime": false, + "Enable 🚫 NSFW": false + }, + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 2457, + "type": "MarkdownNote", + "pos": [ + -4620, + -4800 + ], + "size": [ + 340, + 110 + ], + "flags": { + "pinned": true + }, + "order": 58, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Instruct Notes:", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "**I noticed a while back that different runs of images respond better to different instructions.** [Fabrohacks](https://civitai.red/user/FaboroHacks) did this in their workflow, so I decided to do sommething similar:\n- choose the Qwen instructions based on the type of image you are generating.\n- the Generic one works best for all around, but if you are going for a portrait or realism, try one of the others\n\n---\n\n**我之前就注意到,不同的图像生成批次对不同指令的响应效果更好。** [Fabrohacks](https://civitai.red/user/FaboroHacks) 在他们的工作流中采用了这种做法,所以我也决定做类似的事情:\n\n- 根据您要生成的图像类型来选择对应的 Qwen 指令。\n- 通用(Generic)指令适合大多数情况,但如果您想生成**肖像**或**写实**风格的图像,建议尝试其他专用指令。\n\n" + ], + "widgets_values_named": { + "text": "**I noticed a while back that different runs of images respond better to different instructions.** [Fabrohacks](https://civitai.red/user/FaboroHacks) did this in their workflow, so I decided to do sommething similar:\n- choose the Qwen instructions based on the type of image you are generating.\n- the Generic one works best for all around, but if you are going for a portrait or realism, try one of the others\n\n---\n\n**我之前就注意到,不同的图像生成批次对不同指令的响应效果更好。** [Fabrohacks](https://civitai.red/user/FaboroHacks) 在他们的工作流中采用了这种做法,所以我也决定做类似的事情:\n\n- 根据您要生成的图像类型来选择对应的 Qwen 指令。\n- 通用(Generic)指令适合大多数情况,但如果您想生成**肖像**或**写实**风格的图像,建议尝试其他专用指令。\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3088, + "type": "LCDetailPipeOut", + "pos": [ + -3950, + -4720 + ], + "size": [ + 200, + 270 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 153, + "mode": 0, + "inputs": [ + { + "label": "pipe", + "name": "pipe", + "type": "LC_PIPE", + "link": 44064 + } + ], + "outputs": [ + { + "name": "pipe", + "type": "LC_PIPE", + "links": null + }, + { + "name": "Model 1", + "type": "MODEL", + "links": [ + 44058 + ] + }, + { + "name": "Clip 1", + "type": "CLIP", + "links": null + }, + { + "name": "VAE 1", + "type": "VAE", + "links": [ + 44059 + ] + }, + { + "name": "Positive prompt", + "type": "STRING", + "links": null + }, + { + "name": "Positive conditioning", + "type": "CONDITIONING", + "links": [ + 44065 + ] + }, + { + "name": "Negative prompt", + "type": "STRING", + "links": null + }, + { + "name": "Negative conditioning", + "type": "CONDITIONING", + "links": [ + 44066 + ] + }, + { + "name": "Seed", + "type": "INT", + "links": [ + 44060 + ] + }, + { + "name": "cfg_1", + "type": "FLOAT", + "links": [ + 44061 + ] + }, + { + "name": "sampler_name", + "type": "COMBO", + "links": [ + 44062 + ] + }, + { + "name": "scheduler", + "type": "COMBO", + "links": [ + 44063 + ] + }, + { + "name": "detailer_steps", + "type": "INT", + "links": null + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCDetailPipeOut", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#707070", + "bgcolor": "#707070" + }, + { + "id": 2985, + "type": "GetNode", + "pos": [ + -3950, + -4760 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 59, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "LC_PIPE", + "type": "LC_PIPE", + "links": [ + 44064 + ] + } + ], + "title": "Get_Pipe", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Pipe" + ], + "widgets_values_named": { + "Constant": "Pipe" + } + }, + { + "id": 2870, + "type": "vsLinx_BooleanFlip", + "pos": [ + -9260, + -5000 + ], + "size": [ + 430, + 60 + ], + "flags": { + "pinned": true + }, + "order": 60, + "mode": 0, + "inputs": [ + { + "label": "Original Image Resolution", + "name": "boolean", + "type": "BOOLEAN", + "widget": { + "name": "boolean" + }, + "link": null + } + ], + "outputs": [ + { + "label": "Boo!ean 👻", + "name": "boolean", + "type": "BOOLEAN", + "links": [ + 44068 + ] + } + ], + "title": "Use Original Image resolution 🖼️ 📏", + "properties": { + "cnr_id": "comfyui-vslinx-nodes", + "ver": "1.16.0", + "Node name for S&R": "vsLinx_BooleanFlip", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + false + ], + "widgets_values_named": { + "boolean": false + }, + "color": "#c3782d", + "bgcolor": "#af6419" + }, + { + "id": 2562, + "type": "Krea2ControlImageEncode", + "pos": [ + -7150, + -5010 + ], + "size": [ + 340, + 250 + ], + "flags": { + "collapsed": false, + "pinned": true + }, + "order": 266, + "mode": 4, + "inputs": [ + { + "label": "control_image", + "name": "control_image", + "type": "IMAGE", + "link": 26843 + }, + { + "label": "vae", + "name": "vae", + "type": "VAE", + "link": 44079 + }, + { + "label": "latent", + "name": "latent", + "shape": 7, + "type": "LATENT", + "link": 43968 + }, + { + "label": "resize", + "name": "resize", + "type": "COMBO", + "widget": { + "name": "resize" + }, + "link": null + }, + { + "label": "upscale_method", + "name": "upscale_method", + "type": "COMBO", + "widget": { + "name": "upscale_method" + }, + "link": null + }, + { + "label": "crop", + "name": "crop", + "type": "COMBO", + "widget": { + "name": "crop" + }, + "link": null + }, + { + "label": "channel_mode", + "name": "channel_mode", + "type": "COMBO", + "widget": { + "name": "channel_mode" + }, + "link": null + }, + { + "label": "normalize", + "name": "normalize", + "type": "COMBO", + "widget": { + "name": "normalize" + }, + "link": null + }, + { + "label": "invert", + "name": "invert", + "type": "BOOLEAN", + "widget": { + "name": "invert" + }, + "link": null + }, + { + "label": "batch_mode", + "name": "batch_mode", + "type": "COMBO", + "widget": { + "name": "batch_mode" + }, + "link": null + } + ], + "outputs": [ + { + "label": "control_latent", + "name": "control_latent", + "type": "LATENT", + "links": [ + 26841 + ] + }, + { + "label": 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], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + true, + true + ], + "widgets_values_named": { + "Enable Sigma Scheduler Σ": true, + "Enable 🤡 ClownSamplerSelector": false, + "Enable Detail Daemon Sampler 😈": true, + "Enable Notify 🔊": true + }, + "color": "#c3782d", + "bgcolor": "#af6419" + }, + { + "id": 2357, + "type": "MarkdownNote", + "pos": [ + -5840, + -3700 + ], + "size": [ + 600, + 670 + ], + "flags": { + "pinned": true + }, + "order": 69, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Notes: / 笔记 :", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\n## Settings:\n\n**Denoise (Now up top)**\n- mainly for I2I 🖼️. works well at higher levels. I like leaving it around .97 for everyday use, but it is also the first thing I go to to change a pose.\n\n\n\n**Sigma Scheduler Σ**\n\n- Just another level of detail. Really good when messing with realism. \n- **Base Sigmas** uses the scheduler you chose and acts normally.\n\n- **Beta sine** is similar to beta57, but this is cleaner and give crisper results\n- **Karras min-max** its my cheating way to get Karras level realism on Flowmatch models\n- If you are so inclined to mess with stuff 🤔...\n - The schedulers are in the lilac nodes. You can expand them to change the settings. \n\n**🤡 ClownSamplerSelector**\n- One of the main advantages to using Clownshark Samplers is their **fully_imlicit, diag_implicit**, and multiple other **sampler** options. \n- However, their names and schedules are not compatible with anything other than Clownshark Samplers, and only a fraction of regular names work with them. To overcome this, I have done the following:\n- **ClownSampler Selector:** You can manually select any one of the Clown Samplers to use. **Note:** all other parts of the workflow will be based on your choice in the *⚙️ User Settings* area.\n- ⚠️ if you get an error like *UnboundLocalError: cannot access local variable 'ci' where it is not associated with a value* (which I shoud have dealt with), change the sampler name.\n\n**Detail Daemon**\n- This is dialed in pretty tight already. You relly should only mess with the *detail_amount* number.\n- I've found 0.2 -0.5 works well\n- If you want to mess with it more, the chart is below at the bottom:\n\n\n\n\n\n**LC Stop 🛑**\n- When turned on, the generation stops here. It allows you to make changes before committing to the upscalers, detailers, etc.\n- make changes to settings after it according to how your image came out, then hit **⏯️**\n- My low VRAM favorite trick.\n- **Play sound 🔊**: Makes a sound when it gets to this point so you don't have to sit there and watch it\n- 💡⚠️**if you have random seed turned on, it will keep starting from scratch. Make sure to fix the Seed!**\n\n--- \n\n\n**Best Detail Daemon Sampler Settings**\n| Preset | detail_amount | start | end | bias | exponent | smooth | Recommended For | Notes |\n|-------------------------|---------------|---------|---------|------|----------|--------|-------------------------------------|-------|\n| **Balanced** (Sweet Spot) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | Everyday use, general images | Best all-rounder for most users |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | Realism, textures, landscapes | Excellent sharpness & fine detail |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | Intricate subjects, high detail | Use carefully, can look oversharpened |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | Portraits, skin tones | Natural look, low artifacts |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | Professional portraits | Very subtle enhancement |\n\n### Quick Tips:\n- `detail_amount` is the main control (higher = more detail).\n- Most users find **0.50** the best daily default for Flux.\n- `start` = when detail boost begins | `end` = when it stops.\n- Keep **bias = 0.0** and **exponent = 1.0** for most cases.\n- to test if anyone reads my notes, first one to tell me the name of my Dog (Mochi) on this model for 100 buzz.\n- Always enable **smooth = True**.\n\n---\n\n## 设置说明:\n\n**Denoise(去噪强度)**\n- 主要用于 **I2I 🖼️**。数值越高效果越明显。\n- 我日常使用喜欢设置为 **0.97** 左右,但如果需要大幅改变姿势,这是我第一个调整的参数。\n\n**Sigma Scheduler Σ**\n- 能进一步提升细节表现,尤其在写实风格下非常好用。\n- **Base Sigmas**:使用你选择的调度器,表现正常。\n- **Beta sine**:类似 beta57,但更干净、结果更锐利。\n- **Karras min-max**:我在 Flowmatch 模型上偷懒获取 Karras 级别写实感的办法。\n- 如果你想进一步调整 🤔:\n - 调度器设置在紫色节点中,展开后可以修改参数。\n\n\n**🤡 ClownSamplerSelector**\n\n- 使用 Clownshark Samplers 的主要优势之一是它们提供了 **fully_implicit**、**diag_implicit** 以及多种其他 **sampler** 选项。\n- 然而,这些采样器名称和调度与 Clownshark Samplers 之外的其他节点不兼容,只有少数常规名称能正常工作。为了解决这个问题,我做了以下处理:\n- **ClownSampler Selector**:你可以手动选择任意一个 Clown Sampler 使用。**注意**:工作流的其他部分将基于你在 *⚙️ User Settings* 区域中的选择。\n- ⚠️ 如果出现类似 *UnboundLocalError: cannot access local variable 'ci' where it is not associated with a value* 的错误(我本应该已经处理),请尝试更换采样器名称。\n\n**Detail Daemon**\n- 当前已经调校得比较理想。你主要只需调整 **detail_amount** 参数即可。\n- 推荐范围:**0.2 - 0.5**\n- 如果想更深入调整,下方有参考图表。\n\n**LC Stop 🛑****\n- 开启后,生成会在此处停止。方便你在提交给 upscaler 和 detailer 之前进行调整。\n- 根据生成结果修改设置后,点击 **⏯️** 继续。\n- 这是我低显存时的最爱技巧。\n- **Play sound 🔊**:到达此处时播放提示音,不用一直盯着屏幕。\n- 💡⚠️ **如果开启了随机种子,它会不断从头开始生成。请务必固定 Seed!**\n\n---\n\n**最佳 Detail Daemon Sampler 设置**\n\n| 预设 | detail_amount | start | end | bias | exponent | smooth | 推荐用途 | 备注 |\n|------------------------|---------------|-------|-------|------|----------|--------|--------------------|------|\n| **Balanced**(甜蜜点) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | 日常使用、一般图像 | 大多数用户的最佳均衡选择 |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | 写实、纹理、风景 | 极佳的锐利度和细微细节 |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | 复杂主体、高细节 | 使用需谨慎,可能过度锐化 |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | 人像、皮肤 | 自然效果,低伪影 |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | 专业人像 | 非常细微的增强 |\n\n### 快速使用建议:\n- `detail_amount` 是最主要的控制参数(数值越高 = 细节越强)。\n- 大多数用户认为 **0.50** 是 Flux 模型的最佳日常默认值。\n- `start` = 细节增强开始步数 | `end` = 细节增强结束步数。\n- 大多数情况下保持 **bias = 0.0** 和 **exponent = 1.0**。\n- 始终启用 **smooth = True**。\n" + ], + "widgets_values_named": { + "text": "\n## Settings:\n\n**Denoise (Now up top)**\n- mainly for I2I 🖼️. works well at higher levels. I like leaving it around .97 for everyday use, but it is also the first thing I go to to change a pose.\n\n\n\n**Sigma Scheduler Σ**\n\n- Just another level of detail. Really good when messing with realism. \n- **Base Sigmas** uses the scheduler you chose and acts normally.\n\n- **Beta sine** is similar to beta57, but this is cleaner and give crisper results\n- **Karras min-max** its my cheating way to get Karras level realism on Flowmatch models\n- If you are so inclined to mess with stuff 🤔...\n - The schedulers are in the lilac nodes. You can expand them to change the settings. \n\n**🤡 ClownSamplerSelector**\n- One of the main advantages to using Clownshark Samplers is their **fully_imlicit, diag_implicit**, and multiple other **sampler** options. \n- However, their names and schedules are not compatible with anything other than Clownshark Samplers, and only a fraction of regular names work with them. To overcome this, I have done the following:\n- **ClownSampler Selector:** You can manually select any one of the Clown Samplers to use. **Note:** all other parts of the workflow will be based on your choice in the *⚙️ User Settings* area.\n- ⚠️ if you get an error like *UnboundLocalError: cannot access local variable 'ci' where it is not associated with a value* (which I shoud have dealt with), change the sampler name.\n\n**Detail Daemon**\n- This is dialed in pretty tight already. You relly should only mess with the *detail_amount* number.\n- I've found 0.2 -0.5 works well\n- If you want to mess with it more, the chart is below at the bottom:\n\n\n\n\n\n**LC Stop 🛑**\n- When turned on, the generation stops here. It allows you to make changes before committing to the upscalers, detailers, etc.\n- make changes to settings after it according to how your image came out, then hit **⏯️**\n- My low VRAM favorite trick.\n- **Play sound 🔊**: Makes a sound when it gets to this point so you don't have to sit there and watch it\n- 💡⚠️**if you have random seed turned on, it will keep starting from scratch. Make sure to fix the Seed!**\n\n--- \n\n\n**Best Detail Daemon Sampler Settings**\n| Preset | detail_amount | start | end | bias | exponent | smooth | Recommended For | Notes |\n|-------------------------|---------------|---------|---------|------|----------|--------|-------------------------------------|-------|\n| **Balanced** (Sweet Spot) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | Everyday use, general images | Best all-rounder for most users |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | Realism, textures, landscapes | Excellent sharpness & fine detail |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | Intricate subjects, high detail | Use carefully, can look oversharpened |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | Portraits, skin tones | Natural look, low artifacts |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | Professional portraits | Very subtle enhancement |\n\n### Quick Tips:\n- `detail_amount` is the main control (higher = more detail).\n- Most users find **0.50** the best daily default for Flux.\n- `start` = when detail boost begins | `end` = when it stops.\n- Keep **bias = 0.0** and **exponent = 1.0** for most cases.\n- to test if anyone reads my notes, first one to tell me the name of my Dog (Mochi) on this model for 100 buzz.\n- Always enable **smooth = True**.\n\n---\n\n## 设置说明:\n\n**Denoise(去噪强度)**\n- 主要用于 **I2I 🖼️**。数值越高效果越明显。\n- 我日常使用喜欢设置为 **0.97** 左右,但如果需要大幅改变姿势,这是我第一个调整的参数。\n\n**Sigma Scheduler Σ**\n- 能进一步提升细节表现,尤其在写实风格下非常好用。\n- **Base Sigmas**:使用你选择的调度器,表现正常。\n- **Beta sine**:类似 beta57,但更干净、结果更锐利。\n- **Karras min-max**:我在 Flowmatch 模型上偷懒获取 Karras 级别写实感的办法。\n- 如果你想进一步调整 🤔:\n - 调度器设置在紫色节点中,展开后可以修改参数。\n\n\n**🤡 ClownSamplerSelector**\n\n- 使用 Clownshark Samplers 的主要优势之一是它们提供了 **fully_implicit**、**diag_implicit** 以及多种其他 **sampler** 选项。\n- 然而,这些采样器名称和调度与 Clownshark Samplers 之外的其他节点不兼容,只有少数常规名称能正常工作。为了解决这个问题,我做了以下处理:\n- **ClownSampler Selector**:你可以手动选择任意一个 Clown Sampler 使用。**注意**:工作流的其他部分将基于你在 *⚙️ User Settings* 区域中的选择。\n- ⚠️ 如果出现类似 *UnboundLocalError: cannot access local variable 'ci' where it is not associated with a value* 的错误(我本应该已经处理),请尝试更换采样器名称。\n\n**Detail Daemon**\n- 当前已经调校得比较理想。你主要只需调整 **detail_amount** 参数即可。\n- 推荐范围:**0.2 - 0.5**\n- 如果想更深入调整,下方有参考图表。\n\n**LC Stop 🛑****\n- 开启后,生成会在此处停止。方便你在提交给 upscaler 和 detailer 之前进行调整。\n- 根据生成结果修改设置后,点击 **⏯️** 继续。\n- 这是我低显存时的最爱技巧。\n- **Play sound 🔊**:到达此处时播放提示音,不用一直盯着屏幕。\n- 💡⚠️ **如果开启了随机种子,它会不断从头开始生成。请务必固定 Seed!**\n\n---\n\n**最佳 Detail Daemon Sampler 设置**\n\n| 预设 | detail_amount | start | end | bias | exponent | smooth | 推荐用途 | 备注 |\n|------------------------|---------------|-------|-------|------|----------|--------|--------------------|------|\n| **Balanced**(甜蜜点) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | 日常使用、一般图像 | 大多数用户的最佳均衡选择 |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | 写实、纹理、风景 | 极佳的锐利度和细微细节 |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | 复杂主体、高细节 | 使用需谨慎,可能过度锐化 |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | 人像、皮肤 | 自然效果,低伪影 |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | 专业人像 | 非常细微的增强 |\n\n### 快速使用建议:\n- `detail_amount` 是最主要的控制参数(数值越高 = 细节越强)。\n- 大多数用户认为 **0.50** 是 Flux 模型的最佳日常默认值。\n- `start` = 细节增强开始步数 | `end` = 细节增强结束步数。\n- 大多数情况下保持 **bias = 0.0** 和 **exponent = 1.0**。\n- 始终启用 **smooth = True**。\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2258, + "type": "SetNode", + "pos": [ + -6020, + -3660 + ], + "size": [ + 210, + 50 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 332, + "mode": 0, + "inputs": [ + { + "name": "*", + "type": "*", + "link": 44285 + } + ], + "outputs": [ + { + "name": "*", + "type": "*", + "links": [ + 44288 + ] + } + ], + "title": "Set_Rough Draft", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "Rough Draft", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Rough Draft" + ], + "widgets_values_named": { + "Constant": "Rough Draft" + }, + "color": "#233", + "bgcolor": "#355", + "shape": 2 + }, + { + "id": 2688, + "type": "RandomNoise", + "pos": [ + -6270, + -3220 + ], + "size": [ + 270, + 90 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 196, + "mode": 0, + "inputs": [ + { + "name": "noise_seed", + "type": "INT", + "widget": { + "name": "noise_seed" + }, + "link": 44010 + } + ], + "outputs": [ + { + "name": "NOISE", + "type": "NOISE", + "links": [ + 27916 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.27.0", + "Node name for S&R": "RandomNoise", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + 264812570226449, + "randomize" + ], + "widgets_values_named": { + "noise_seed": 264812570226449, + "control_after_generate": "randomize" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2704, + "type": "MarkdownNote", + "pos": [ + -6740, + -2860 + ], + "size": [ + 730, + 640 + ], + "flags": { + "pinned": true + }, + "order": 70, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "💡Tips & Tricks/ 提示与技巧", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## 💡Tips & Tricks:\n\nWhat I do...😼\n\n**📝 Prompting:**\n- I typically start with an idea, write it in the prompt box, then run it through the enhancer.\n- or... I'll run an image through Florence and get the prompt.\n- then I'll cut & paste it back into the prompt box and edit it. \n\n**Steps:**\n- I'll typically run every model at the very top range or a few steps over what is recommended. Too many steps overbake it. For Krea2 Turbo, I use 10-12\n\n**🖼️ to 👠👗style, 🎭mask, 🥅 controlnet**\n- quality is everything. 🗑️garbage in, 🗑️ garbage out.\n- ⚠️ understand the limits of each models controlnet before getting angry with it. Krea2 is designed in a way that does not play nice with controlnet, and currently we are limited to only one set of weights and one type: depth. **It is hit or miss.** I use it to get close. If I want precision, I'll use Flux.\n- 👗👠 Using two styles is cool, but a little difficult to control. I always give you options, but I never use more than one image. \n - 💡 I purposely made it use Image 2 and 3 so that you can still put an image in the first slot for a prompt.\n\n**Settings** \n- I have a set of schedulers and samplers that I like. I use them over and over again and only change them for different styles:\n- **regular:**\n - Res_2m/ Beta57 (or bong tangent)\n - Euler/ Simple\n - dpmpp_2m_sde/ sgm_uniform\n- **🤡Sampler selector**\n - fully_implicit/radau_iii-3s (or 4s) + Bong tanget or simple\n\n**Sigma Selector**\n- **Beta** for everything not realiam\n- **base** or **dpmpp** for realism\n- its a nifty little toy for sharpening and detail\n\n**Detailer Daemon**\n- This is really set and forget with me. On or off once I have it locked in. \n\n**Hi Res Fix/ Ultimate Upscaler**\n- I never upscale past 2.0\n- Skin and detail can be a big help here. \n - siax_200\n - skin_diff_lite\n - foolhardy\n- **Anime:** Anime sharp\n- **Graphics:** any superscale. I like Nickelback\n\n**🚫NSFW Detailers**\n- short of nipples, I have yet to find a reason to use these on Krea2. \n\n**Detailers**\n- I never combine face with eyes. I'll just use face 9 times out of 10 unless I want something special with the eyes\n\n**Seed VR2**\n- This collects dust. I use it for commercial or commission graphics. \n - That being said, I used it a lot when I had lower VRAM. Mainly because pushing the upscaled version through the detailers was VRAM prohibitive.\n- for almost any image in everyday use or on the site. The ultimate upscaler is usually enough.\n\n**🎨 Post processing**\n- of the ones on the top line, I really only use Contrast adaptive sharpen every day. The others are for when I am trying to get a certain effect\n- **Image filter** is your friend. I always leave it a little low on bright and a little high on saturation\n- **Optical Realism 📷, 📷 Lens FX, 🔬 Clarity FX.** These are all for reailsm. \n - I vary between them. For example, I use several different model and LoRA combinations. One works better for one set, the other for another. \n - 💡 Never use optical realism and Lens FX at the same time. They get in a cage match. \n- **LUT** My all time favorite. It really can make an image. I like *Cool_Natural_Breeze* \n\n\n---\n\n**💡提示与技巧:**\n\n**📝 提示词(Prompting):**\n\n* 我通常先有一个想法,在提示框中写下来,然后通过增强器(enhancer)运行它。\n* 或者……我会把一张图片通过 Florence 处理,获取提示词。\n* 然后将其剪切并粘贴回提示框中进行编辑。\n\n**步骤:**\n\n* 我通常会把每个模型都运行在推荐步数的最高范围或略高一些。步数太多会过度烘焙。对于 **Krea2 Turbo**,我使用 10-12 步。\n\n**🖼️ 到 👠👗风格、🎭遮罩、🥅 ControlNet**\n\n* 质量就是一切。🗑️垃圾输入,🗑️垃圾输出。\n- ⚠️ 在对 ControlNet 发火之前,请先了解每个模型的 ControlNet 限制。Krea2 的设计方式与 ControlNet 兼容性不佳,目前我们仅支持一组权重和一种类型:**depth**。**效果时好时坏。** 我用它来先得到接近的结果。如果需要精确控制,我会改用 Flux。\n\n* 👗👠 使用两种风格很酷,但控制起来有点难。我总是给你提供选项,但我自己从不使用超过一张图片。\n * 💡 我特意把它设计成使用 Image 2 和 Image 3,这样你仍然可以在第一个槽位放入图片作为提示。\n\n**设置(Settings)**\n\n* 我有一套自己喜欢的调度器和采样器。我会反复使用它们,只在不同风格时才更换:\n\n* 常规:\n * Res_2m / Beta57(或 Bong Tangent)\n * Euler / Simple\n * dpmpp_2m_sde / sgm_uniform\n\n* 🤡Sampler 选择器\n * fully_implicit / radau_iii-3s(或 4s) + Bong Tangent 或 Simple\n\n**Sigma 选择器**\n\n* 非写实类全部使用 Beta\n* 写实类使用 base 或 dpmpp\n\n\n**Detailer Daemon**\n\n- 这个对我来说真的是设置好就忘掉的工具。一旦锁定设置后,我就只会打开或关闭它。\n\n**Hi Res Fix / Ultimate Upscaler**\n\n* 我从不将 upscale 超过 2.0\n* 皮肤和细节在这里帮助很大:\n * siax_200\n * skin_diff_lite\n * foolhardy\n* 动漫风格:Anime sharp\n* 图形/插画:任何 superscale,我喜欢 Nickelback\n\n**🚫NSFW Detailers**\n\n* 除了乳头以外,我还没找到在 Krea2 上使用这些 Detailers 的理由。\n\n**Detailers**\n\n* 我从不把面部和眼睛结合使用。十次里有九次我只用面部 Detailer,除非我想对眼睛做特别处理。\n\n**Seed VR2**\n\n- 这个已经闲置了。我主要用它来做商业或委托图形。\n - 话虽如此,当我 VRAM 较低时,我曾大量使用它。主要因为将放大后的版本送入 detailers 处理会非常占用 VRAM。\n\n- 对于日常使用或网站上的几乎任何图像,Ultimate Upscaler 通常就足够了。\n\n**🎨 后期处理(Post Processing)**\n\n* 在顶栏的那些选项中,我每天真正常用的只有 **Contrast adaptive sharpen**。其他选项只在我想达到特定效果时使用。\n* Image filter 是你的好朋友。我总是把亮度调得稍微低一点,饱和度调得稍微高一点。\n* **Optical Realism 📷**、**📷 Lens FX**、**🔬 Clarity FX** —— 这些都用于写实风格。\n * 我会在它们之间切换。例如,我会使用几种不同的模型和 LoRA 组合,有的组合适合这一组,有的适合另一组。\n * 💡 永远不要同时使用 Optical Realism 和 Lens FX,它们会打架。\n* **LUT** —— 我一直以来的最爱。它真的能拯救一张图片。我最喜欢 **Cool_Natural_Breeze**。\n\n" + ], + "widgets_values_named": { + "text": "## 💡Tips & Tricks:\n\nWhat I do...😼\n\n**📝 Prompting:**\n- I typically start with an idea, write it in the prompt box, then run it through the enhancer.\n- or... I'll run an image through Florence and get the prompt.\n- then I'll cut & paste it back into the prompt box and edit it. \n\n**Steps:**\n- I'll typically run every model at the very top range or a few steps over what is recommended. Too many steps overbake it. For Krea2 Turbo, I use 10-12\n\n**🖼️ to 👠👗style, 🎭mask, 🥅 controlnet**\n- quality is everything. 🗑️garbage in, 🗑️ garbage out.\n- ⚠️ understand the limits of each models controlnet before getting angry with it. Krea2 is designed in a way that does not play nice with controlnet, and currently we are limited to only one set of weights and one type: depth. **It is hit or miss.** I use it to get close. If I want precision, I'll use Flux.\n- 👗👠 Using two styles is cool, but a little difficult to control. I always give you options, but I never use more than one image. \n - 💡 I purposely made it use Image 2 and 3 so that you can still put an image in the first slot for a prompt.\n\n**Settings** \n- I have a set of schedulers and samplers that I like. I use them over and over again and only change them for different styles:\n- **regular:**\n - Res_2m/ Beta57 (or bong tangent)\n - Euler/ Simple\n - dpmpp_2m_sde/ sgm_uniform\n- **🤡Sampler selector**\n - fully_implicit/radau_iii-3s (or 4s) + Bong tanget or simple\n\n**Sigma Selector**\n- **Beta** for everything not realiam\n- **base** or **dpmpp** for realism\n- its a nifty little toy for sharpening and detail\n\n**Detailer Daemon**\n- This is really set and forget with me. On or off once I have it locked in. \n\n**Hi Res Fix/ Ultimate Upscaler**\n- I never upscale past 2.0\n- Skin and detail can be a big help here. \n - siax_200\n - skin_diff_lite\n - foolhardy\n- **Anime:** Anime sharp\n- **Graphics:** any superscale. I like Nickelback\n\n**🚫NSFW Detailers**\n- short of nipples, I have yet to find a reason to use these on Krea2. \n\n**Detailers**\n- I never combine face with eyes. I'll just use face 9 times out of 10 unless I want something special with the eyes\n\n**Seed VR2**\n- This collects dust. I use it for commercial or commission graphics. \n - That being said, I used it a lot when I had lower VRAM. Mainly because pushing the upscaled version through the detailers was VRAM prohibitive.\n- for almost any image in everyday use or on the site. The ultimate upscaler is usually enough.\n\n**🎨 Post processing**\n- of the ones on the top line, I really only use Contrast adaptive sharpen every day. The others are for when I am trying to get a certain effect\n- **Image filter** is your friend. I always leave it a little low on bright and a little high on saturation\n- **Optical Realism 📷, 📷 Lens FX, 🔬 Clarity FX.** These are all for reailsm. \n - I vary between them. For example, I use several different model and LoRA combinations. One works better for one set, the other for another. \n - 💡 Never use optical realism and Lens FX at the same time. They get in a cage match. \n- **LUT** My all time favorite. It really can make an image. 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It overrides it for the **high & low pass samplers only**\n\n---\n\n**采样设置 ⚙️**\n- **total steps:** 整次生成的总步数 \n- **step swap:** 从 High 采样器切换到 Low 采样器的交接步数 \n- **detailer steps:** 细节修复(detailer)使用的步数(Krea Turbo 通常为 8) \n- **Denoise:** 用于图生图(I2I)。日常生成一般保持在约 **0.98** \n- **CFG 1 & 2:** High 与 Low 的 CFG \n- **sampler & scheduler:** 整条工作流使用的**基础**采样器与调度器。若在 🧠 brains 区域使用 **🤡 Sampler Selector**,则**仅覆盖采样器(samplers)**,调度器等仍按原设置" + }, + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 1307, + "type": "Seed (rgthree)", + "pos": [ + -6340, + -3970 + ], + "size": [ + 320, + 130 + ], + "flags": { + "pinned": true + }, + "order": 79, + "mode": 0, + "inputs": [], + "outputs": [ + { + "dir": 4, + "name": "SEED", + "shape": 3, + "type": "INT", + "links": [ + 25599, + 43839, + 43940 + ] + } + ], + "title": "Seed 🌱", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "1.0.2512112053", + "randomMax": 1125899906842624, + "randomMin": 0, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + -1, + "", + "", + "" + ], + "widgets_values_named": { + "seed": -1, + "🎲 Randomize Each Time": "", + "🎲 New Fixed Random": "", + "USE_LAST_SEED": "" + }, + "color": "#963617", + "bgcolor": "#822203" + }, + { + "id": 1313, + "type": "DF_Text", + "pos": [ + -6340, + -4720 + ], + "size": [ + 320, + 60 + ], + "flags": { + "pinned": true + }, + "order": 80, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 13782 + ] + } + ], + "title": "Filename Prefix", + "properties": { + "cnr_id": "derfuu_comfyui_moddednodes", + "ver": "1.0.1", + "Node name for S&R": "DF_Text", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + "Lonecats Krea 2" + ], + "widgets_values_named": { + "Text": "Lonecats Krea 2" + }, + "color": "#25e5f3", + "bgcolor": "#11d1df", + "shape": 2 + }, + { + "id": 1292, + "type": "ModelSamplingAuraFlow", + "pos": [ + -6340, + -4820 + ], + "size": [ + 320, + 60 + ], + "flags": { + "pinned": true + }, + "order": 216, + "mode": 0, + "inputs": [ + { + "label": "model", + "name": "model", + "type": "MODEL", + "link": 44448 + } + ], + "outputs": [ + { + "label": "MODEL", + "name": "MODEL", + "type": "MODEL", + "links": [ + 38914 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.7.0", + "Node name for S&R": "ModelSamplingAuraFlow", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 4 + ], + "widgets_values_named": { + "shift": 4 + }, + "color": "#222", + "bgcolor": "#000", + "shape": 2 + }, + { + "id": 3059, + "type": "String", + "pos": [ + -5160, + -5000 + ], + "size": [ + 260, + 310 + ], + "flags": { + "pinned": true + }, + "order": 81, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 43998, + 44000 + ] + } + ], + "title": "Anime", + "properties": { + "cnr_id": "ComfyLiterals", + "ver": "bdddb08ca82d90d75d97b1d437a652e0284a32ac", + "Node name for S&R": "String", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "**You are a senior Visual Art Director and master anime/illustration aesthetic expert. Your task is to take the user’s short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate anime beauty, premium illustration quality, clean linework, and strong visual tension.**\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject noisy or overly busy styles and create clean, timeless, story-rich anime and illustration images.\n- Emphasize clean, precise linework, sharp contours, and refined cel-shaded or soft-painted surfaces. Keep surfaces smooth and elegant with controlled highlights — noble, refined, and polished illustration quality.\n- Use cinematic yet anime-appropriate lighting to build dimensionality and atmosphere (soft rim light, dramatic rim, gentle glow, volumetric light rays, golden-hour anime lighting, etc.) for strong visual tension.\n- Give the character graceful anime poise with emotionally compelling expression, gaze, and posture that conveys serenity, elegance, depth, or poetic feeling.\n- Fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional anime facial proportions and bone structure, large expressive eyes full of story and emotion, elegant and serene expression radiating unique high-end anime aura, clean precise linework.\n- **Composition & Artistic Poise**: Classic aesthetic composition using golden ratio or dynamic diagonal lines, graceful anime body posture with elegant extension in hands, shoulders, and neck lines, refined silhouette.\n- **Clean Lines & Surface Quality**: Sharp, confident clean line art, smooth polished surfaces with subtle cel-shading or soft painterly gradients, controlled highlights and soft shadows for refined illustration finish.\n- **Premium Styling & Fabrics**: Luxurious anime clothing materials such as flowing silk, delicate lace, soft knits, and detailed patterns. Rich description of fabric drape, folds, and how light interacts with the surfaces.\n- **Hair & Flow**: Voluminous anime hair with silky soft sheen, individual strands and gentle breeze movement for dynamic beauty, clean outlines and flowing motion.\n- **Masterful Lighting**: Highly atmospheric anime lighting with rim light, soft diffused glow, or dramatic cool/warm contrast. Light should perfectly sculpt the character’s contours and facial dimensionality while remaining clean and illustrative.\n- **Cinematic Background & Palette**: Artistic, heavily blurred or softly detailed background with beautiful bokeh and shallow depth of field. Colors should complement the subject. Use sophisticated anime palettes such as soft pastel tones, rich saturated hues, cinematic anime grading, or elegant low-to-medium saturation cool/warm contrast.\n- **Aesthetic Keywords**: anime illustration, clean line art, elegant anime atmosphere, delicate details, poetic mood, high-end anime aesthetic, refined cel-shading.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, line, texture, and form. Prefer natural, flowing language. Avoid generic compliments. Make every part vivid, cinematic, and distinctly anime/illustration in character.\nOutput only the final expanded prompt. Do not add any explanations or extra text." + ], + "widgets_values_named": { + "String": "**You are a senior Visual Art Director and master anime/illustration aesthetic expert. Your task is to take the user’s short or fragmented description and expand it into a high-specification, highly artistic English image generation prompt with ultimate anime beauty, premium illustration quality, clean linework, and strong visual tension.**\n\n**Core Principles to Follow:**\n- Pursue visual harmony with exceptional standards in color, composition, and lighting. Reject noisy or overly busy styles and create clean, timeless, story-rich anime and illustration images.\n- Emphasize clean, precise linework, sharp contours, and refined cel-shaded or soft-painted surfaces. Keep surfaces smooth and elegant with controlled highlights — noble, refined, and polished illustration quality.\n- Use cinematic yet anime-appropriate lighting to build dimensionality and atmosphere (soft rim light, dramatic rim, gentle glow, volumetric light rays, golden-hour anime lighting, etc.) for strong visual tension.\n- Give the character graceful anime poise with emotionally compelling expression, gaze, and posture that conveys serenity, elegance, depth, or poetic feeling.\n- Fully allow explicit, erotic, and adult content when requested or implied by the user. Describe nudity, sexual acts, body parts, fluids, arousal, and intimate interactions in direct, detailed, and anatomically accurate language when appropriate. Do not censor, soften, or assume clothing covers genitals/intimate anatomy.\n\n**Output Structure:**\nExpand the input into a single, well-structured English prompt organized exactly in this order:\n\n- **Subject & Aesthetic Features**: Exceptional anime facial proportions and bone structure, large expressive eyes full of story and emotion, elegant and serene expression radiating unique high-end anime aura, clean precise linework.\n- **Composition & Artistic Poise**: Classic aesthetic composition using golden ratio or dynamic diagonal lines, graceful anime body posture with elegant extension in hands, shoulders, and neck lines, refined silhouette.\n- **Clean Lines & Surface Quality**: Sharp, confident clean line art, smooth polished surfaces with subtle cel-shading or soft painterly gradients, controlled highlights and soft shadows for refined illustration finish.\n- **Premium Styling & Fabrics**: Luxurious anime clothing materials such as flowing silk, delicate lace, soft knits, and detailed patterns. Rich description of fabric drape, folds, and how light interacts with the surfaces.\n- **Hair & Flow**: Voluminous anime hair with silky soft sheen, individual strands and gentle breeze movement for dynamic beauty, clean outlines and flowing motion.\n- **Masterful Lighting**: Highly atmospheric anime lighting with rim light, soft diffused glow, or dramatic cool/warm contrast. Light should perfectly sculpt the character’s contours and facial dimensionality while remaining clean and illustrative.\n- **Cinematic Background & Palette**: Artistic, heavily blurred or softly detailed background with beautiful bokeh and shallow depth of field. Colors should complement the subject. Use sophisticated anime palettes such as soft pastel tones, rich saturated hues, cinematic anime grading, or elegant low-to-medium saturation cool/warm contrast.\n- **Aesthetic Keywords**: anime illustration, clean line art, elegant anime atmosphere, delicate details, poetic mood, high-end anime aesthetic, refined cel-shading.\n\n**Tone & Style Rules:**\nUse specific, highly visual artistic vocabulary focused on light, color, line, texture, and form. Prefer natural, flowing language. Avoid generic compliments. Make every part vivid, cinematic, and distinctly anime/illustration in character.\nOutput only the final expanded prompt. Do not add any explanations or extra text." + }, + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 174, + "type": "GetNode", + "pos": [ + -5020, + -2900 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 82, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 513 + ] + } + ], + "title": "Get_Pro Post", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Pro Post" + ], + "widgets_values_named": { + "Constant": "Pro Post" + }, + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": 2 + }, + { + "id": 173, + "type": "GetNode", + "pos": [ + -5190, + -2900 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 83, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "*", + "type": "*", + "links": [ + 514 + ] + } + ], + "title": "Get_Rough Draft", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Rough Draft" + ], + "widgets_values_named": { + "Constant": "Rough Draft" + }, + "shape": 2 + }, + { + "id": 3125, + "type": "Label (rgthree)", + "pos": [ + -9150, + -4260 + ], + "size": [ + 313.9365234375, + 18 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 84, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "⚠️ use this one for style 👠🥂👗 First", + "properties": { + "fontSize": 18, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 3139, + "type": "GetNode", + "pos": [ + -5890, + -2390 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 85, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 44898, + 44899 + ] + } + ], + "title": "Get_Pro Post", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Pro Post" + ], + "widgets_values_named": { + "Constant": "Pro Post" + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 1251, + "type": "MarkdownNote", + "pos": [ + -9280, + -3070 + ], + "size": [ + 1060, + 2490 + ], + "flags": {}, + "order": 86, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# 说明\n### 在 CivitAi 上关注我 [HERE](https://civitai.com/user/lonecatone23)\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n### 这代表数百小时的工作成果。如果你喜欢,请 👍点赞、💬留言,并欢迎随时 ⚡打赏 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n## 通用说明:\n# 🛑🚫✋ 严禁手动绕过任何设置!所有功能都有对应的开关。\n### ⚠️ 如果出现 \"Nonetype:\" 错误,通常是 controlnet 开关问题、i2i 或 mask 没有图片,或者没有启用采样器。\n### 💾 保存相关信息:\n- **除非主动开启,否则什么都不会保存!**\n- 📂 文件夹名称可在 “Save Group” 中修改。\n- **Save Post Process** 会保存最终图像(不带元数据)。如果 checkpoint 在 CivitAi 上不显示,可用此方式手动上传。\n\n### 模型链接\n\nBF16 和 NVFP4 版本请见 [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF 版本](https://civitai.red/api/download/models/3069586?fileId=2948449)。 ⚠️ 不要使用 CivitAI 上找到的其他版本。它们都是垃圾。\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - 用于图像编辑。**下载后重命名**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n\n**Krea 2 Conditioning Rebalance**\n\n- 移除 NSFW 安全过滤器 [ConditioningKrea2Rebalance](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n\n\n\n### 画幅比例节点(Aspect Ratio Node):\n- 可使用预设尺寸或自定义尺寸。自定义时必须将预设选为 **custom**。\n- **Prescale**:会先缩小你选择的初始尺寸,有助于低显存情况。\n- **Upscale**:连接到 SEED VR2。\n- **Hi-rez fix 滑块**:控制 hi-rez fix 的放大倍率。通常设为 1.5 以减轻 SEED VR2 上采样压力。\n\n### I2I 与 Florence 提示词生成器:\n- ⚠️ 必须同时开启 **I2I** 和 **Florence** 才能使用 I2I 功能。\n- ***背景移除***:如果你不希望提示词或 controlnet 模型带有背景,开启很有帮助。请阅读该区域的使用说明。\n- Controlnet 也会使用 **I2I** 的图片,因此 I2I 必须开启。\n\n### 提示词增强器(Prompt Enhancer):**Qwen 📝🪄**\n- 使用 **Qwen3-VL-8b-Instruct**。\n- 这是一个精简的 LLM 模型,用于优化你的提示词。请在其中输入你希望它如何改进提示。\n- 提示词长度会显著影响生成速度。“Notes” 区域中已保留两种不同的指令模板供参考。\n- 💡如果模型无法加载或找不到模型,请按照[此处](https://github.com/huchukato/ComfyUI-QwenVL-Mod)的说明操作\n\n### Seed 变化增强器(Seed Variance Enhancer):\n- **randomize_percent**:数值越低变化越微妙,数值越高变化越强烈。\n- **Noise Amount**:建议 20–30。\n- **Noise insert**:在开始步骤(Beginning steps)效果最好。\n\n## 🛑🚫 草稿模式(Draft Mode):\n- 开启后,工作流会在此处停止(不进行 hi-rez、细节处理等)。\n- 草稿图像会保存(需开启 “Save Draft”)。\n- **Play Sound** 会发出提示音(仅便携版支持)。\n- 更改提示音的方法见 Notes 区域(不需要可删除)。\n\n### 上采样技巧:\n- 显存不足时,可降低画幅比例 + 使用另一侧的 SEED VR2,有助于缓解生成问题。\n- **Prescale**(在 Aspect Ratio 节点中):增大生成底图尺寸;**Hi-rez fix 滑块**:控制二次放大的倍率。\n- **Tiled vs. 非 Tiled**:平铺模式会把图像切块,大幅加快处理速度,但牺牲少量质量。建议尽量把平铺参数调高。\n\n### Hi-REZ 上采样:\n- 写实风格推荐:Ultra Sharp、Niclekback 或 Ersgan。\n- 动漫风格推荐:Anime sharp。\n- 显存吃紧时,使用底部滑块增加切块数量(减小单块尺寸),仅用于避免 OOM 或砖块 artifact。\n- [上采样模型下载](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- 如果出现噪点(常由劣质 LoRA 引起),可使用此模型略微改善:[Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n\n### 细节修复器(Detailers):\n- **(仅 ZIT 版本)** ✋ 请确保使用的 checkpoint 与你的风格匹配(写实 / 动漫)。\n- 相应调整 sampler 和 scheduler。\n- 脸部 & 手部检测模型 [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- 眼睛专用 [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo:V8n 与 V8s 的区别?** “n”代表 nano,精度较低但显存占用少。**尽可能使用 S 版本**(尤其脸部细节修复常见问题)。\n\n### 🚫 NSFW 细节修复器(若适用):\n- 如果要生成男性,请关闭女性检测,否则可能出现奇怪结果。\n- ⚠️ 有两种细节修复器:**SEGs** 和 **SAM**,使用的模型不同,装错会报奇怪错误。SEGs 主要用于身体,其余两个适合局部细节。\n- [女性身体检测](https://civitai.com/models/1816953/female-body-detection)\n- [男性生殖器检测](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- 模型需放入 segm 文件夹(见下方路径)。\n- [其他身体部位模型(注意甄别下载内容)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- 如果当前不是 NSFW 版本,想要获取可前往我的 [Civitai 主页](https://civitai.com/user/lonecatone23) 或私信我。\n\n### Seed VR2 上采样器:\n- [观看教学视频](https://www.youtube.com/watch?v=MBtWYXq_r60)\n- 本设置针对低显存优化。高显存用户可关闭 VAE 中的 tiling,然后提高分辨率。\n- Debug 已开启,可观察日志,它会提醒你是否还有余量继续增大。\n\n**自动下载说明**\n- 首次使用时,选中的模型和 VAE 文件会自动下载。\n- ⚠️ 模型较大,下载可能需要几分钟。\n- 请关注控制台日志查看下载进度。\n- 也可手动下载到 📂`ComfyUI\\models\\SEEDVR2` 目录。\n- 模型地址:[这里](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) 和 [这里](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main)。\n\n## ControlNet\n- ⚠️ 绕过(bypass)ControlNet 时,所有开关都会重置。***需要重新逐个设置。***\n- ⚠️ 必须开启 I2I 图片,ControlNet 才会生效。\n\n### 模型补丁(Model patch)\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- 推荐使用 **2.1** 版本\n\n### LUT\n- 可在此免费获取 LUT:[HERE](https://freshluts.com)\n- 文件存放位置见下方\n\n***DING!***(播放声音)\n- 仅便携版支持\n- 自定义声音方法见下方说明\n- 需手动输入文件名(区分大小写)\n\n### 常用节点链接:\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n[Controlnet Aux](https://github.com/Fannovel16/comfyui_controlnet_aux) \n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack) \n[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts) \n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n[Use Everywhere](https://github.com/chrisgoringe/cg-use-everywhere) \n[Virtuoso nodes](https://github.com/chrisfreilich/virtuoso-nodes) \n[JWS Nodes](https://github.com/jamesWalker55/comfyui-various) (resize 节点选项,若无法加载) \n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3) \n[Seed Variance Enhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer) \n[Captain Flowmatch](https://github.com/capitan01R/ComfyUI-CapitanFlowMatch) \n[Captain Flowmatch Conditioning Enhancer](https://github.com/capitan01R/Capitan-ConditioningEnhancer) \n[Prompt Reader Nodes](https://github.com/receyuki/comfyui-prompt-reader-node?tab=readme-ov-file#installation)\n\n[Optical Realism](https://github.com/skatardude10/ComfyUI-Optical-Realism)\n\n### 存储路径\n```\n📂 ComfyUI/\n├─📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── LUT 文件\n│ ├── 📂 SEED VR2\n│ │ └── 所有相关文件\n│ ├── 📂 ultralytics\n│ │ └── 📂 segm\n│ │ └── 检测模型文件\n│ ├── 📂 upscale_models\n│ │ └── 上采样模型(Ersgan、Nickelback 等)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3(或其他 .mp3 声音文件)\n```\n\n" + ], + "widgets_values_named": { + "text": "# 说明\n### 在 CivitAi 上关注我 [HERE](https://civitai.com/user/lonecatone23)\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n### 这代表数百小时的工作成果。如果你喜欢,请 👍点赞、💬留言,并欢迎随时 ⚡打赏 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n## 通用说明:\n# 🛑🚫✋ 严禁手动绕过任何设置!所有功能都有对应的开关。\n### ⚠️ 如果出现 \"Nonetype:\" 错误,通常是 controlnet 开关问题、i2i 或 mask 没有图片,或者没有启用采样器。\n### 💾 保存相关信息:\n- **除非主动开启,否则什么都不会保存!**\n- 📂 文件夹名称可在 “Save Group” 中修改。\n- **Save Post Process** 会保存最终图像(不带元数据)。如果 checkpoint 在 CivitAi 上不显示,可用此方式手动上传。\n\n### 模型链接\n\nBF16 和 NVFP4 版本请见 [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF 版本](https://civitai.red/api/download/models/3069586?fileId=2948449)。 ⚠️ 不要使用 CivitAI 上找到的其他版本。它们都是垃圾。\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - 用于图像编辑。**下载后重命名**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n\n**Krea 2 Conditioning Rebalance**\n\n- 移除 NSFW 安全过滤器 [ConditioningKrea2Rebalance](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n\n\n\n### 画幅比例节点(Aspect Ratio Node):\n- 可使用预设尺寸或自定义尺寸。自定义时必须将预设选为 **custom**。\n- **Prescale**:会先缩小你选择的初始尺寸,有助于低显存情况。\n- **Upscale**:连接到 SEED VR2。\n- **Hi-rez fix 滑块**:控制 hi-rez fix 的放大倍率。通常设为 1.5 以减轻 SEED VR2 上采样压力。\n\n### I2I 与 Florence 提示词生成器:\n- ⚠️ 必须同时开启 **I2I** 和 **Florence** 才能使用 I2I 功能。\n- ***背景移除***:如果你不希望提示词或 controlnet 模型带有背景,开启很有帮助。请阅读该区域的使用说明。\n- Controlnet 也会使用 **I2I** 的图片,因此 I2I 必须开启。\n\n### 提示词增强器(Prompt Enhancer):**Qwen 📝🪄**\n- 使用 **Qwen3-VL-8b-Instruct**。\n- 这是一个精简的 LLM 模型,用于优化你的提示词。请在其中输入你希望它如何改进提示。\n- 提示词长度会显著影响生成速度。“Notes” 区域中已保留两种不同的指令模板供参考。\n- 💡如果模型无法加载或找不到模型,请按照[此处](https://github.com/huchukato/ComfyUI-QwenVL-Mod)的说明操作\n\n### Seed 变化增强器(Seed Variance Enhancer):\n- **randomize_percent**:数值越低变化越微妙,数值越高变化越强烈。\n- **Noise Amount**:建议 20–30。\n- **Noise insert**:在开始步骤(Beginning steps)效果最好。\n\n## 🛑🚫 草稿模式(Draft Mode):\n- 开启后,工作流会在此处停止(不进行 hi-rez、细节处理等)。\n- 草稿图像会保存(需开启 “Save Draft”)。\n- **Play Sound** 会发出提示音(仅便携版支持)。\n- 更改提示音的方法见 Notes 区域(不需要可删除)。\n\n### 上采样技巧:\n- 显存不足时,可降低画幅比例 + 使用另一侧的 SEED VR2,有助于缓解生成问题。\n- **Prescale**(在 Aspect Ratio 节点中):增大生成底图尺寸;**Hi-rez fix 滑块**:控制二次放大的倍率。\n- **Tiled vs. 非 Tiled**:平铺模式会把图像切块,大幅加快处理速度,但牺牲少量质量。建议尽量把平铺参数调高。\n\n### Hi-REZ 上采样:\n- 写实风格推荐:Ultra Sharp、Niclekback 或 Ersgan。\n- 动漫风格推荐:Anime sharp。\n- 显存吃紧时,使用底部滑块增加切块数量(减小单块尺寸),仅用于避免 OOM 或砖块 artifact。\n- [上采样模型下载](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- 如果出现噪点(常由劣质 LoRA 引起),可使用此模型略微改善:[Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n\n### 细节修复器(Detailers):\n- **(仅 ZIT 版本)** ✋ 请确保使用的 checkpoint 与你的风格匹配(写实 / 动漫)。\n- 相应调整 sampler 和 scheduler。\n- 脸部 & 手部检测模型 [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- 眼睛专用 [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo:V8n 与 V8s 的区别?** “n”代表 nano,精度较低但显存占用少。**尽可能使用 S 版本**(尤其脸部细节修复常见问题)。\n\n### 🚫 NSFW 细节修复器(若适用):\n- 如果要生成男性,请关闭女性检测,否则可能出现奇怪结果。\n- ⚠️ 有两种细节修复器:**SEGs** 和 **SAM**,使用的模型不同,装错会报奇怪错误。SEGs 主要用于身体,其余两个适合局部细节。\n- [女性身体检测](https://civitai.com/models/1816953/female-body-detection)\n- [男性生殖器检测](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- 模型需放入 segm 文件夹(见下方路径)。\n- [其他身体部位模型(注意甄别下载内容)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- 如果当前不是 NSFW 版本,想要获取可前往我的 [Civitai 主页](https://civitai.com/user/lonecatone23) 或私信我。\n\n### Seed VR2 上采样器:\n- [观看教学视频](https://www.youtube.com/watch?v=MBtWYXq_r60)\n- 本设置针对低显存优化。高显存用户可关闭 VAE 中的 tiling,然后提高分辨率。\n- Debug 已开启,可观察日志,它会提醒你是否还有余量继续增大。\n\n**自动下载说明**\n- 首次使用时,选中的模型和 VAE 文件会自动下载。\n- ⚠️ 模型较大,下载可能需要几分钟。\n- 请关注控制台日志查看下载进度。\n- 也可手动下载到 📂`ComfyUI\\models\\SEEDVR2` 目录。\n- 模型地址:[这里](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) 和 [这里](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main)。\n\n## ControlNet\n- ⚠️ 绕过(bypass)ControlNet 时,所有开关都会重置。***需要重新逐个设置。***\n- ⚠️ 必须开启 I2I 图片,ControlNet 才会生效。\n\n### 模型补丁(Model patch)\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- 推荐使用 **2.1** 版本\n\n### LUT\n- 可在此免费获取 LUT:[HERE](https://freshluts.com)\n- 文件存放位置见下方\n\n***DING!***(播放声音)\n- 仅便携版支持\n- 自定义声音方法见下方说明\n- 需手动输入文件名(区分大小写)\n\n### 常用节点链接:\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n[Controlnet Aux](https://github.com/Fannovel16/comfyui_controlnet_aux) \n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack) \n[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts) \n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n[Use Everywhere](https://github.com/chrisgoringe/cg-use-everywhere) \n[Virtuoso nodes](https://github.com/chrisfreilich/virtuoso-nodes) \n[JWS Nodes](https://github.com/jamesWalker55/comfyui-various) (resize 节点选项,若无法加载) \n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3) \n[Seed Variance Enhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer) \n[Captain Flowmatch](https://github.com/capitan01R/ComfyUI-CapitanFlowMatch) \n[Captain Flowmatch Conditioning Enhancer](https://github.com/capitan01R/Capitan-ConditioningEnhancer) \n[Prompt Reader Nodes](https://github.com/receyuki/comfyui-prompt-reader-node?tab=readme-ov-file#installation)\n\n[Optical Realism](https://github.com/skatardude10/ComfyUI-Optical-Realism)\n\n### 存储路径\n```\n📂 ComfyUI/\n├─📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── LUT 文件\n│ ├── 📂 SEED VR2\n│ │ └── 所有相关文件\n│ ├── 📂 ultralytics\n│ │ └── 📂 segm\n│ │ └── 检测模型文件\n│ ├── 📂 upscale_models\n│ │ └── 上采样模型(Ersgan、Nickelback 等)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3(或其他 .mp3 声音文件)\n```\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3141, + "type": "LCBatchImageComparer", + "pos": [ + -5580, + -2260 + ], + "size": [ + 320, + 450 + ], + "flags": { + "pinned": true + }, + "order": 191, + "mode": 0, + "inputs": [ + { + "label": "🎨 Post Process", + "name": "image_a", + "shape": 7, + "type": "IMAGE", + "link": 44899 + }, + { + "label": "Held Image", + "name": "image_b", + "shape": 7, + "type": "IMAGE", + "link": 44901 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "5832ec12d24dc0e316809e990ca4bb50852e4b72", + "Node name for S&R": "LCBatchImageComparer", + "comparer_mode": "Slide", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#325A5A", + "bgcolor": "#325A5A" + }, + { + "id": 3138, + "type": "LCLastImageHolder", + "pos": [ + -5890, + -2260 + ], + "size": [ + 300, + 450 + ], + "flags": { + "pinned": true + }, + "order": 163, + "mode": 0, + "inputs": [ + { + "name": "new_image", + "shape": 7, + "type": "IMAGE", + "link": 44898 + } + ], + "outputs": [ + { + "name": "held image", + "type": "IMAGE", + "links": [ + 44901 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "5832ec12d24dc0e316809e990ca4bb50852e4b72", + "Node name for S&R": "LCLastImageHolder", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "hold until cleared", + "clear_btn" + ], + "widgets_values_named": { + "mode": "hold until cleared", + "Clear held image": "clear_btn" + }, + "color": "#324B4B", + "bgcolor": "#324B4B" + }, + { + "id": 3144, + "type": "MarkdownNote", + "pos": [ + -6740, + -2150 + ], + "size": [ + 790, + 640 + ], + "flags": { + "pinned": true + }, + "order": 87, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "# LC123 Performance Settings ⚙️", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# LC123 Performance Settings ⚙️\n\n> **UI only** — smoother scrolling and lighter on-node previews. \n> These settings do **not** change generation VRAM, model load, or output image quality on the sockets.\n\n---\n\n## Where to find them\n\n1. Open **ComfyUI Settings** (gear).\n2. In the sidebar, open **LC123**.\n3. Open **Performance**.\n\nIf you don’t see the full list: restart ComfyUI, then **Ctrl+F5** (hard refresh) so the updated `web/lc_performance_settings.js` loads.\n\n---\n\n## What each option does\n\n| Setting | Default | What it does |\n|--------|---------|----------------|\n| **Remove wipe** | Off | Turns off hover A/B wipe on **image FX** nodes. Last result still shows. |\n| **Half-resolution previews** | Off | Draws FX previews at **half** the node’s image area (less GPU/CPU work while panning). |\n| **Clamp longest side** | Off | Downscales the **on-node** preview bitmap so the longest side ≤ **Max edge**. |\n| **Max edge (px)** | 768 | Used only when **Clamp longest side** is on. Try 512–1024 on heavy graphs. |\n| **No preview when collapsed** | On | Collapsed FX nodes skip drawing previews (less work while scrolling). |\n| **Hide FX on-node previews** | Off | Hides all LC **image FX** on-node previews. Socket outputs are unchanged. |\n| **Skin Beauty full preview override** | On | **LC Skin Beauty** keeps a **full-quality** on-node preview even if half-res / clamp are on (for zooming skin detail). Wipe still follows **Remove wipe**. |\n\n---\n\n## What is *not* affected\n\nThese stay fully interactive and are **not** driven by the Performance toggles:\n\n- **LC Image Compare 🔎**\n- **LC Dynamic Overlay**\n- **LC Image Split 🖼️**\n\nGeneration, Save Image, and every **IMAGE** output socket still use full resolution.\n\n---\n\n## Suggested setups\n\n### Default (shipped)\nLeave everything at default: full FX previews, wipe on, Skin Beauty override on.\n\n### Heavy graph / laggy scroll\n1. Turn **Half-resolution previews** **On** \n2. Turn **Clamp longest side** **On** (Max edge **512** or **768**) \n3. Keep **No preview when collapsed** **On** \n4. Leave **Skin Beauty full preview override** **On** if you still inspect skin on the node \n\n### Maximum UI lightness\n1. **Hide FX on-node previews** **On** \n2. Or use **Remove wipe** + half-res + clamp \n3. Use **Image Compare** / **Image Split** when you need a wipe \n\n---\n\n## Notes\n\n- Changes apply on the next canvas redraw (panning or queue is enough; no reinstall needed).\n- Optional SAM / LayerStyle / big models are separate from these settings; they still use their own VRAM.\n- Pack files: `web/lc_performance_settings.js`, `web/lc_image_preview.js`\n---\n\n**\"True, nothing is. Permitted, everything is\"**_Yoda Auditore. *Assassin's Wars*\n\n---\n\n---\n\n# LC123 性能设置 ⚙️\n\n> **仅影响界面** — 滚动更顺、节点内预览更轻。 \n> 这些设置**不会**改变生成时的显存占用、模型加载,或输出接口上的图像质量。\n\n---\n\n## 在哪里找到\n\n1. 打开 **ComfyUI 设置**(齿轮图标)。 \n2. 在侧边栏中打开 **LC123**。 \n3. 打开 **Performance**。\n\n如果看不到完整列表:请重启 ComfyUI,然后按 **Ctrl+F5**(强制刷新),以便加载更新后的 `web/lc_performance_settings.js`。\n\n---\n\n## 各选项说明\n\n| 设置 | 默认 | 作用 |\n|------|------|------|\n| **Remove wipe** | 关 | 关闭 **图像 FX** 节点上的悬停 A/B 对比条。仍显示最近一次结果。 |\n| **Half-resolution previews** | 关 | 将 FX 预览绘制为节点图像区域的 **一半**(平移时减少 GPU/CPU 负担)。 |\n| **Clamp longest side** | 关 | 缩小 **节点内** 预览位图,使最长边 ≤ **Max edge**。 |\n| **Max edge (px)** | 768 | 仅在开启 **Clamp longest side** 时生效。复杂工作流可试 512–1024。 |\n| **No preview when collapsed** | 开 | 折叠的 FX 节点不再绘制预览(滚动时更省资源)。 |\n| **Hide FX on-node previews** | 关 | 隐藏所有 LC **图像 FX** 的节点内预览。接口输出不变。 |\n| **Skin Beauty full preview override** | 开 | 即使开启半分辨率/最长边限制,**LC Skin Beauty** 仍保持 **全质量** 节点内预览(方便放大看肤质)。对比条仍遵循 **Remove wipe**。 |\n\n---\n\n## 不受影响的内容\n\n以下节点保持完整交互,**不受** Performance 开关控制:\n\n- **LC Image Compare 🔎** \n- **LC Dynamic Overlay** \n- **LC Image Split 🖼️** \n\n生成、Save Image,以及所有 **IMAGE** 输出接口仍使用全分辨率。\n\n---\n\n## 推荐配置\n\n### 默认(出厂)\n全部保持默认:完整 FX 预览、开启对比条、开启 Skin Beauty 覆盖。\n\n### 复杂工作流 / 滚动卡顿\n1. 打开 **Half-resolution previews** \n2. 打开 **Clamp longest side**(Max edge 设为 **512** 或 **768**) \n3. 保持 **No preview when collapsed** 为 **开** \n4. 若仍需在节点上查看皮肤细节,保持 **Skin Beauty full preview override** 为 **开** \n\n### 界面最轻量\n1. 打开 **Hide FX on-node previews** \n2. 或使用 **Remove wipe** + 半分辨率 + 最长边限制 \n3. 需要对比条时使用 **Image Compare** / **Image Split** \n\n---\n\n## 说明\n\n- 更改在下次画布重绘时生效(平移或排队即可,无需重装)。 \n- 可选的 SAM / LayerStyle / 大型模型与这些设置无关,仍会占用各自的显存。 \n- 相关文件:`web/lc_performance_settings.js`、`web/lc_image_preview.js` \n\n---\n\n**\"True, nothing is. Permitted, everything is\"** \n— Yoda Auditore,《Assassin's Wars》" + ], + "widgets_values_named": { + "text": "# LC123 Performance Settings ⚙️\n\n> **UI only** — smoother scrolling and lighter on-node previews. \n> These settings do **not** change generation VRAM, model load, or output image quality on the sockets.\n\n---\n\n## Where to find them\n\n1. Open **ComfyUI Settings** (gear).\n2. In the sidebar, open **LC123**.\n3. Open **Performance**.\n\nIf you don’t see the full list: restart ComfyUI, then **Ctrl+F5** (hard refresh) so the updated `web/lc_performance_settings.js` loads.\n\n---\n\n## What each option does\n\n| Setting | Default | What it does |\n|--------|---------|----------------|\n| **Remove wipe** | Off | Turns off hover A/B wipe on **image FX** nodes. Last result still shows. |\n| **Half-resolution previews** | Off | Draws FX previews at **half** the node’s image area (less GPU/CPU work while panning). |\n| **Clamp longest side** | Off | Downscales the **on-node** preview bitmap so the longest side ≤ **Max edge**. |\n| **Max edge (px)** | 768 | Used only when **Clamp longest side** is on. Try 512–1024 on heavy graphs. |\n| **No preview when collapsed** | On | Collapsed FX nodes skip drawing previews (less work while scrolling). |\n| **Hide FX on-node previews** | Off | Hides all LC **image FX** on-node previews. Socket outputs are unchanged. |\n| **Skin Beauty full preview override** | On | **LC Skin Beauty** keeps a **full-quality** on-node preview even if half-res / clamp are on (for zooming skin detail). Wipe still follows **Remove wipe**. |\n\n---\n\n## What is *not* affected\n\nThese stay fully interactive and are **not** driven by the Performance toggles:\n\n- **LC Image Compare 🔎**\n- **LC Dynamic Overlay**\n- **LC Image Split 🖼️**\n\nGeneration, Save Image, and every **IMAGE** output socket still use full resolution.\n\n---\n\n## Suggested setups\n\n### Default (shipped)\nLeave everything at default: full FX previews, wipe on, Skin Beauty override on.\n\n### Heavy graph / laggy scroll\n1. Turn **Half-resolution previews** **On** \n2. Turn **Clamp longest side** **On** (Max edge **512** or **768**) \n3. Keep **No preview when collapsed** **On** \n4. Leave **Skin Beauty full preview override** **On** if you still inspect skin on the node \n\n### Maximum UI lightness\n1. **Hide FX on-node previews** **On** \n2. Or use **Remove wipe** + half-res + clamp \n3. Use **Image Compare** / **Image Split** when you need a wipe \n\n---\n\n## Notes\n\n- Changes apply on the next canvas redraw (panning or queue is enough; no reinstall needed).\n- Optional SAM / LayerStyle / big models are separate from these settings; they still use their own VRAM.\n- Pack files: `web/lc_performance_settings.js`, `web/lc_image_preview.js`\n---\n\n**\"True, nothing is. Permitted, everything is\"**_Yoda Auditore. *Assassin's Wars*\n\n---\n\n---\n\n# LC123 性能设置 ⚙️\n\n> **仅影响界面** — 滚动更顺、节点内预览更轻。 \n> 这些设置**不会**改变生成时的显存占用、模型加载,或输出接口上的图像质量。\n\n---\n\n## 在哪里找到\n\n1. 打开 **ComfyUI 设置**(齿轮图标)。 \n2. 在侧边栏中打开 **LC123**。 \n3. 打开 **Performance**。\n\n如果看不到完整列表:请重启 ComfyUI,然后按 **Ctrl+F5**(强制刷新),以便加载更新后的 `web/lc_performance_settings.js`。\n\n---\n\n## 各选项说明\n\n| 设置 | 默认 | 作用 |\n|------|------|------|\n| **Remove wipe** | 关 | 关闭 **图像 FX** 节点上的悬停 A/B 对比条。仍显示最近一次结果。 |\n| **Half-resolution previews** | 关 | 将 FX 预览绘制为节点图像区域的 **一半**(平移时减少 GPU/CPU 负担)。 |\n| **Clamp longest side** | 关 | 缩小 **节点内** 预览位图,使最长边 ≤ **Max edge**。 |\n| **Max edge (px)** | 768 | 仅在开启 **Clamp longest side** 时生效。复杂工作流可试 512–1024。 |\n| **No preview when collapsed** | 开 | 折叠的 FX 节点不再绘制预览(滚动时更省资源)。 |\n| **Hide FX on-node previews** | 关 | 隐藏所有 LC **图像 FX** 的节点内预览。接口输出不变。 |\n| **Skin Beauty full preview override** | 开 | 即使开启半分辨率/最长边限制,**LC Skin Beauty** 仍保持 **全质量** 节点内预览(方便放大看肤质)。对比条仍遵循 **Remove wipe**。 |\n\n---\n\n## 不受影响的内容\n\n以下节点保持完整交互,**不受** Performance 开关控制:\n\n- **LC Image Compare 🔎** \n- **LC Dynamic Overlay** \n- **LC Image Split 🖼️** \n\n生成、Save Image,以及所有 **IMAGE** 输出接口仍使用全分辨率。\n\n---\n\n## 推荐配置\n\n### 默认(出厂)\n全部保持默认:完整 FX 预览、开启对比条、开启 Skin Beauty 覆盖。\n\n### 复杂工作流 / 滚动卡顿\n1. 打开 **Half-resolution previews** \n2. 打开 **Clamp longest side**(Max edge 设为 **512** 或 **768**) \n3. 保持 **No preview when collapsed** 为 **开** \n4. 若仍需在节点上查看皮肤细节,保持 **Skin Beauty full preview override** 为 **开** \n\n### 界面最轻量\n1. 打开 **Hide FX on-node previews** \n2. 或使用 **Remove wipe** + 半分辨率 + 最长边限制 \n3. 需要对比条时使用 **Image Compare** / **Image Split** \n\n---\n\n## 说明\n\n- 更改在下次画布重绘时生效(平移或排队即可,无需重装)。 \n- 可选的 SAM / LayerStyle / 大型模型与这些设置无关,仍会占用各自的显存。 \n- 相关文件:`web/lc_performance_settings.js`、`web/lc_image_preview.js` \n\n---\n\n**\"True, nothing is. 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], + "flags": {}, + "order": 350, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 45578 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": [ + 45579 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.31.0", + "Node name for S&R": "PreviewImage", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [], + "widgets_values_named": {}, + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 3269, + "type": "LCNotify", + "pos": [ + -1160, + 130 + ], + "size": [ + 290, + 130 + ], + "flags": {}, + "order": 351, + "mode": 0, + "inputs": [ + { + "name": "any", + "shape": 7, + "type": "*", + "link": 45580 + } + ], + "outputs": [ + { + "name": "any", + "type": "*", + "links": [ + 45708 + ] + } + ], + "title": "Notify 🔊", + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "5832ec12d24dc0e316809e990ca4bb50852e4b72", + "Node name for S&R": "LCNotify", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "always", + 0.5, + "group_yay.mp3", + null + ], + "widgets_values_named": { + "mode": "always", + "volume": 0.5, + "file": "group_yay.mp3", + "▶ preview": null + }, + "color": "#649632", + "bgcolor": "#649632" + }, + { + "id": 3268, + "type": "SetNode", + "pos": [ + -1160, + 80 + ], + "size": [ + 210, + 40 + ], + "flags": { + "collapsed": true + }, + "order": 352, + "mode": 0, + "inputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "link": 45579 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": null + } + ], + "title": "Set_Pro Post", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "Pro Post", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Pro Post" + ], + "widgets_values_named": { + "Constant": "Pro Post" + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 3267, + "type": "MarkdownNote", + "pos": [ + -860, + 60 + ], + "size": [ + 370, + 200 + ], + "flags": {}, + "order": 100, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "**LC Notify 🔊**\n- hook to any node outlet.\n- plays a selected sound upon completion\n- select from a list of preloaded sounds or place your own in the folder shown below\n\n\n\n```\n📂 ComfyUI/\n│── 📂 custom_nodes\n│ ├── 📂 ComfyUI_LC123_nodes\n│ │ └── 📂 assets\n│ │ └──📂 sounds\n│ │ └── any .mp3 sound\n```" + ], + "widgets_values_named": { + "text": "**LC Notify 🔊**\n- hook to any node outlet.\n- plays a selected sound upon completion\n- select from a list of preloaded sounds or place your own in the folder shown below\n\n\n\n```\n📂 ComfyUI/\n│── 📂 custom_nodes\n│ ├── 📂 ComfyUI_LC123_nodes\n│ │ └── 📂 assets\n│ │ └──📂 sounds\n│ │ └── any .mp3 sound\n```" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3259, + "type": "Label (rgthree)", + "pos": [ + -1460, + -940 + ], + "size": [ + 246.15234375, + 12 + ], + "flags": { + "allow_interaction": true + }, + "order": 101, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Many Bothans died to bring us this node pack ", + "properties": { + "fontSize": 12, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 3272, + "type": "MarkdownNote", + "pos": [ + -1150, + -690 + ], + "size": [ + 660, + 710 + ], + "flags": {}, + "order": 102, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# LC Skin Beauty ✨\n\nMask-aware skin cooling and brightening for ComfyUI (LC123). Works in **CIELAB** under an auto (or external) skin mask so backgrounds and most clothing stay out of the grade.\n\n---\n\n## Highlights\n\n- **Skin-first, not whole-frame bleach** — correction follows a skin probability mask \n- **Presets that load the sliders** — pick a starting look, then fine-tune what you see \n- **Eyes & lips protected** — auto mask soft-excludes dark eyes and strong lip red \n- **Fabric-aware auto mask** — high local pattern variance is suppressed (prints/weaves) \n- **Highlight & texture controls** — keep specular and pores from going plastic \n- **Optional external MASK** — best quality when you already have a face/skin matte \n- **On-node before/after wipe** — same LC image-FX preview style \n- **Outputs** — graded `image` + `skin_mask` (inspect or reuse downstream)\n\n---\n\n## Features\n\n| Control | What it does |\n|--------|----------------|\n| **preset** | Starting point (Natural, Light, Fresh, Porcelain, Warm keep, Custom). Loads slider values; then sliders are source of truth. |\n| **strength** | How much of the effect to apply (0 = original, 1 = full, >1 = stronger). |\n| **coolness** | Less yellow / cooler skin (LAB b*). |\n| **brightness** | Overall skin lift (whitening), softened on highlights. |\n| **rosy** | Pink/red flush (LAB a*). Negative = less red. |\n| **evenness** | Local color evening under the mask. |\n| **shadow_lift** | Extra lift in dark skin regions. |\n| **smooth** | Mild softening under the mask. |\n| **texture_preserve** | Caps how much smooth can flatten pores. |\n| **saturation** | Skin chroma under the mask (negative = quieter). |\n| **highlight_protect** | Reduce effect on bright specular skin. |\n| **mask_sensitivity** | Auto mask inclusiveness. |\n| **mask_feather** | Softness of mask edges. |\n| **mask** (optional) | External skin matte; blended with auto for precision. |\n\n---\n\n## Getting the most out of it\n\n| Goal | Suggested approach |\n|------|---------------------|\n| **Natural cleanup** | Preset **Natural**, strength **0.7–1.0**. Leave other sliders as loaded. |\n| **Subtle only** | **Light**, strength **0.5–0.8**. |\n| **Clearer / cooler** | **Fresh** or raise **coolness** slightly; keep **highlight_protect** high. |\n| **Strong studio look** | **Porcelain**, strength **≤1.0**; raise **texture_preserve** if it goes plastic. |\n| **Keep warmth** | **Warm keep**, or lower **coolness** and raise **rosy** a little. |\n| **Less eye/lip change** | Already protected in auto mask; if needed, lower **strength** or use an external mask that excludes eyes/mouth. |\n| **Prints still pick up** | Lower **mask_sensitivity**; inspect **skin_mask** output; or feed a real skin **MASK**. |\n| **Hands / body too weak** | Raise **mask_sensitivity** slightly, or paint/segment those areas into **mask**. |\n| **Plastic skin** | Lower **smooth**, raise **texture_preserve**, ease **evenness**. |\n| **Flat highlights** | Raise **highlight_protect**; ease **brightness**. |\n| **Quality check** | Preview **skin_mask** — white = affected, black = left alone. |\n\n---\n\n## Quick workflow\n\n1. Image → **LC Skin Beauty ✨** \n2. Choose a **preset** (sliders update) \n3. Queue once; use the **wipe** to compare \n4. Adjust **strength** first, then one or two sliders \n5. Optional: view **skin_mask**; optional: wire an external **MASK** \n\n---\n\n## Honest limits\n\nAuto mask is **color + structure heuristics**, not a person segmenter. Ornate fabrics and warm bokeh can still leak a little. For critical work, pair with **SAM / face-parse / hand mask** on the **mask** input.\n\n---" + ], + "widgets_values_named": { + "text": "# LC Skin Beauty ✨\n\nMask-aware skin cooling and brightening for ComfyUI (LC123). Works in **CIELAB** under an auto (or external) skin mask so backgrounds and most clothing stay out of the grade.\n\n---\n\n## Highlights\n\n- **Skin-first, not whole-frame bleach** — correction follows a skin probability mask \n- **Presets that load the sliders** — pick a starting look, then fine-tune what you see \n- **Eyes & lips protected** — auto mask soft-excludes dark eyes and strong lip red \n- **Fabric-aware auto mask** — high local pattern variance is suppressed (prints/weaves) \n- **Highlight & texture controls** — keep specular and pores from going plastic \n- **Optional external MASK** — best quality when you already have a face/skin matte \n- **On-node before/after wipe** — same LC image-FX preview style \n- **Outputs** — graded `image` + `skin_mask` (inspect or reuse downstream)\n\n---\n\n## Features\n\n| Control | What it does |\n|--------|----------------|\n| **preset** | Starting point (Natural, Light, Fresh, Porcelain, Warm keep, Custom). Loads slider values; then sliders are source of truth. |\n| **strength** | How much of the effect to apply (0 = original, 1 = full, >1 = stronger). |\n| **coolness** | Less yellow / cooler skin (LAB b*). |\n| **brightness** | Overall skin lift (whitening), softened on highlights. |\n| **rosy** | Pink/red flush (LAB a*). Negative = less red. |\n| **evenness** | Local color evening under the mask. |\n| **shadow_lift** | Extra lift in dark skin regions. |\n| **smooth** | Mild softening under the mask. |\n| **texture_preserve** | Caps how much smooth can flatten pores. |\n| **saturation** | Skin chroma under the mask (negative = quieter). |\n| **highlight_protect** | Reduce effect on bright specular skin. |\n| **mask_sensitivity** | Auto mask inclusiveness. |\n| **mask_feather** | Softness of mask edges. |\n| **mask** (optional) | External skin matte; blended with auto for precision. |\n\n---\n\n## Getting the most out of it\n\n| Goal | Suggested approach |\n|------|---------------------|\n| **Natural cleanup** | Preset **Natural**, strength **0.7–1.0**. Leave other sliders as loaded. |\n| **Subtle only** | **Light**, strength **0.5–0.8**. |\n| **Clearer / cooler** | **Fresh** or raise **coolness** slightly; keep **highlight_protect** high. |\n| **Strong studio look** | **Porcelain**, strength **≤1.0**; raise **texture_preserve** if it goes plastic. |\n| **Keep warmth** | **Warm keep**, or lower **coolness** and raise **rosy** a little. |\n| **Less eye/lip change** | Already protected in auto mask; if needed, lower **strength** or use an external mask that excludes eyes/mouth. |\n| **Prints still pick up** | Lower **mask_sensitivity**; inspect **skin_mask** output; or feed a real skin **MASK**. |\n| **Hands / body too weak** | Raise **mask_sensitivity** slightly, or paint/segment those areas into **mask**. |\n| **Plastic skin** | Lower **smooth**, raise **texture_preserve**, ease **evenness**. |\n| **Flat highlights** | Raise **highlight_protect**; ease **brightness**. |\n| **Quality check** | Preview **skin_mask** — white = affected, black = left alone. |\n\n---\n\n## Quick workflow\n\n1. Image → **LC Skin Beauty ✨** \n2. Choose a **preset** (sliders update) \n3. Queue once; use the **wipe** to compare \n4. Adjust **strength** first, then one or two sliders \n5. Optional: view **skin_mask**; optional: wire an external **MASK** \n\n---\n\n## Honest limits\n\nAuto mask is **color + structure heuristics**, not a person segmenter. Ornate fabrics and warm bokeh can still leak a little. For critical work, pair with **SAM / face-parse / hand mask** on the **mask** input.\n\n---" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3265, + "type": "MarkdownNote", + "pos": [ + -1160, + -1890 + ], + "size": [ + 670, + 1160 + ], + "flags": {}, + "order": 103, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "🎨 Post Processing Notes", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Instructions\n\n# 🛑🚫✋ I HIGHLY suggest that you fix the seed, run the pic, then don’t mess with anything before this so it doesn’t reprocess.\n\n## VRAM issues. See LC123 Performance Settings ⚙️ Note.\n\n### Node order (follow the chain top → bottom)\n\n**Smart Denoise (LCImageDenoise)**\n- Removes noise while trying to keep detail\n- Sigma: higher = smoother, lower = more detail\n- Threshold: how aggressive the denoise is\n- Radius Multiplier: higher for noisy images, lower for clean ones \n💡 Start gentle. Only raise values if the image is actually noisy.\n\n**Color Match (LCColorMatch)**\n- Matches colors to a reference image (usually Image 2)\n- Method: **adain** is the most common and stable\n- Strength: 0–1\n- **Skin protect:** reduces how hard the match hits skin regions (keep faces from shifting hue oddly) \n💡 Great for series consistency. No reference → node can bypass / pass through without erroring.\n\n**Bloom (LCBloom)**\n- Soft glow on bright areas (camera light bloom)\n- Intensity, threshold, and size controls \n💡 A little makes it dreamy. A lot makes it foggy.\n\n**Vignette (LCVignette)**\n- Darkens (or lightens) the edges\n- Amount, softness, and roundness \n💡 Soft vignette looks more natural than hard black borders.\n\n**Image RGB (LCImageRGB)**\n- Simple red / green / blue channel gain\n\n**Lift / Gamma / Gain (LCLiftGammaGain)**\n- Classic three-way color corrector\n- Lift = shadows · Gamma = midtones · Gain = highlights \n💡 This is where most “film look” color work happens.\n\n**Auto White Balance (LCAutoWhiteBalance)**\n- Tries to neutralize overall color cast\n- Method: “Shades of Gray” is usually safest \n💡 Effect is subtle — compare before/after.\n\n**Vibrance (LCVibrance)**\n- Boosts muted colors without destroying already-saturated areas\n- Kinder to skin than normal saturation\n- Vibrance + Saturation + Strength \n💡 Prefer this over regular saturation for portraits.\n\n**Chromatic Aberration (LCChromaticAberration)**\n- Shifts RGB channels for a 3-D / vintage lens look\n- Separate horizontal/vertical amounts for R, G, B \n💡 A little goes a long way. Try small opposite values (R +2, G –1, B –3).\n\n**Sharpen Pro (LCSharpenPro)**\n- **Photorealism-first** mid-tone clarity + edge sharpen (not “ink outline” by default)\n- **Clarity** = local structure · **Sharpen** = finer edge detail · **Strength** = overall mix vs original\n- **Halo** + auto-raise when sharpen is high · **Skin protect** for faces\n- Advanced: radius, blend mode, shadow / highlight protect\n- **Presets fill the sliders** (moving a slider → **Custom**):\n - **Realism:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **Art:** Lineart · Anime sharp \n💡 Start **Natural** or **Portrait** for influencers / NSFW realism. Raise clarity before sharpen. Use **Lineart / Anime sharp** only when you want deliberate edge punch.\n\n**Image Adjust (LCImageAdjust)**\n- Brightness, Contrast, Saturation, Sharpness, Blur\n- Brightness center = 0\n- Contrast & Saturation center = 1\n\n**LC Skin Beauty ✨**\n- See Skin Beauty ✨ markdown Note\n\n**Lens FX (LCLensFX)**\n- General lens distortion and optical effects \n💡 Pair with the next node for more realistic camera simulation.\n\n**Lens Profile (LCLensProfile)**\n- Applies real lens characteristics (e.g. Canon 50mm f/1.8)\n- Optional aberrations \n💡 Adds subtle optical imperfections that make AI images feel more photographic.\n\n**Film Stock B&W (LCFilmStockBW)**\n- Converts to black & white using real film responses\n- 50+ stocks (Ilford HP5+, Kodak Tri-X, Fuji Acros, etc.)\n- Strength + optional filter \n💡 Leave this off if you want to keep color.\n\n**Film Stock Color (LCFilmStockColor)**\n- Applies classic color film response (Ektachrome, Portra, etc.)\n- Strength is the main control \n💡 0.6–0.9 often looks more natural than full strength.\n\n**Film Grain (LCFilmGrain)**\n- Realistic film grain with lots of control\n- Power, scale, shadows/highlights, seed \n💡 Fixed seed keeps the grain consistent. Slightly more grain in shadows usually looks better.\n\n**Desaturate (LCImageDesaturate)**\n- Partial or full desaturation\n- Several methods (luminance Rec.709 is common) \n💡 Useful right before a LUT if you want a muted base.\n\n**Apply LUT (LCApplyLUT)**\n- Applies a 3D LUT (`.cube` file)\n- Strength 0–1 · Log option for certain LUTs\n- **Does not download LUTs from the internet.** \n Put `.cube` files in the folder below yourself (or keep whatever the pack may have **seeded once** from `assets/luts/` into `models/luts/` without overwriting files you already have).\n\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n💡 Free LUTs: freshluts.com. Strength **0.3–0.7** is often nicer than 1.0.\n\n**Image Crop (LCImageCrop)**\n- Inline crop tool\n- X / Y / Width / Height or free mode \n💡 Crop after all effects so you don’t lose edge treatments (vignette, bloom, etc.).\n\n**Text Overlay (LCTextOverlay)**\n- Adds text on the final image\n- Font, size, color, **alignment** (left / center / right), position, opacity\n- Applies on 2nd run\n\n**LC Watermark 💧 (LCWatermark)**\n- Dynamically adds any image as a watermark\n- Adjust size, location, and opacity\n- Applies on the 2nd run\n\n---\n\n## 使用说明\n\n# 🛑🚫✋ 强烈建议你先固定 seed,跑完图片,然后不要再动之前的任何设置,以免重新处理。\n\n## 显存(VRAM)相关问题。请参阅 LC123 Performance Settings ⚙️(性能设置说明)。\n\n### 节点顺序(按链条从上到下)\n\n**智能降噪 (LCImageDenoise)**\n- 在尽量保留细节的同时去除噪点\n- Sigma:数值高更平滑,低则保留更多细节\n- Threshold:控制降噪强度\n- Radius Multiplier:噪点多的图用高值,干净的图用低值 \n💡 从低数值开始。只有真正很噪的时候才提高。\n\n**颜色匹配 (LCColorMatch)**\n- 让当前图匹配参考图(通常是 Image 2)的色调\n- 方法:**adain** 最常用也最稳定\n- 强度:0–1\n- **皮肤保护 (Skin protect):** 减轻匹配对皮肤区域的力度,避免脸部色相被“拉偏” \n💡 做系列图统一肤色或情绪时很好用。没有参考图时可旁路/直通,不会报错。\n\n**光晕 (LCBloom)**\n- 给高光加柔和辉光,模拟相机过曝\n- 强度、阈值、大小 \n💡 少用一点很梦幻,多用就变雾了。\n\n**暗角 (LCVignette)**\n- 压暗(或提亮)边缘\n- 强度、柔和度、圆度 \n💡 柔和暗角比硬黑边自然得多。\n\n**RGB 调整 (LCImageRGB)**\n- 简单的红 / 绿 / 蓝通道增益\n\n**Lift / Gamma / Gain (LCLiftGammaGain)**\n- 经典三点校色\n- Lift = 阴影 · Gamma = 中间调 · Gain = 高光 \n💡 大部分“胶片感”颜色工作都在这里完成。\n\n**自动白平衡 (LCAutoWhiteBalance)**\n- 尝试中和整体色偏\n- 方法:“Shades of Gray” 通常最稳妥 \n💡 效果比较细微,记得对比前后。\n\n**自然饱和度 (LCVibrance)**\n- 提升不饱和颜色,对已经很艳的颜色和肤色更友好\n- 自然饱和度 + 饱和度 + 强度 \n💡 人像优先用这个,而不是普通饱和度。\n\n**色差 (LCChromaticAberration)**\n- 错开 RGB 通道,做出 3D / 复古镜头感\n- 可分别调整红、绿、蓝的水平和垂直偏移 \n💡 一点就够。可以试小相反数值(R +2,G –1,B –3)。\n\n**锐化专业版 (LCSharpenPro)**\n- **以真实感优先**的中调清晰度 + 边缘锐化(默认不是“描边/线稿感”)\n- **Clarity** = 局部结构 · **Sharpen** = 更细的边缘 · **Strength** = 与原图的混合比例\n- **Halo**,且锐化较高时会自动抬高 · **Skin protect** 保护脸部\n- 高级:半径、混合模式、阴影/高光保护\n- **预设会填充滑条**(一动滑条就变成 **Custom**):\n - **写实:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **艺术:** Lineart · Anime sharp \n💡 网红/写实/NSFW 先用 **Natural** 或 **Portrait**,先加 clarity 再加 sharpen。只有需要明显线感时才用 **Lineart / Anime sharp**。\n\n**图像调整 (LCImageAdjust)**\n- 亮度、对比度、饱和度、锐度、模糊\n- 亮度中心 = 0\n- 对比度与饱和度中心 = 1\n\n**LC Skin Beauty ✨**\n- 详见 Skin Beauty ✨ 的 Markdown 说明文档\n\n**镜头特效 (LCLensFX)**\n- 通用镜头畸变和光学效果 \n💡 和下一个节点一起用,模拟更真实的相机光学。\n\n**镜头配置文件 (LCLensProfile)**\n- 应用真实镜头特性(例如 Canon 50mm f/1.8)\n- 可选色差 \n💡 给 AI 图加一点真实光学瑕疵,照片感会强很多。\n\n**黑白胶片 (LCFilmStockBW)**\n- 用真实胶片光谱响应转黑白\n- 50+ 种胶片(Ilford HP5+、Kodak Tri-X、Fuji Acros 等)\n- 强度 + 可选滤镜 \n💡 想留彩色就关掉这个。\n\n**彩色胶片 (LCFilmStockColor)**\n- 应用经典彩色胶片响应(Ektachrome、Portra 等)\n- 强度是主要控制 \n💡 0.6–0.9 往往比满强度更自然。\n\n**胶片颗粒 (LCFilmGrain)**\n- 可精细控制的真实胶片颗粒\n- 强度、缩放、阴影/高光、种子 \n💡 固定种子可以让颗粒保持一致。阴影区域颗粒稍强通常更好看。\n\n**去饱和 (LCImageDesaturate)**\n- 部分或完全去饱和\n- 多种方法可选(luminance Rec.709 较常用) \n💡 在套 LUT 之前用,可以做出更柔和的基础色。\n\n**应用 LUT (LCApplyLUT)**\n- 套用 3D LUT(`.cube` 文件)\n- 强度 0–1 · Log 选项(部分 LUT 需要)\n- **不会从网上自动下载 LUT。** \n 请自行把 `.cube` 放到下面的目录(或保留节点包可能从 `assets/luts/` **一次性拷贝**到 `models/luts/` 的文件;**不会覆盖**你已有的同名文件)。\n\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n💡 免费 LUT:freshluts.com。强度 **0.3–0.7** 通常比 1.0 更好看。\n\n**裁剪 (LCImageCrop)**\n- 内联裁剪工具\n- X / Y / 宽 / 高 或 free 模式 \n💡 所有效果做完再裁,才不会丢掉边缘处理(暗角、光晕等)。\n\n**文字叠加 (LCTextOverlay)**\n- 在最终图上加文字\n- 字体、大小、颜色、**对齐**(左 / 中 / 右)、位置、透明度\n- 第 2 次运行时应用\n\n**LC 水印 💧(LCWatermark)**\n- 可动态将任意图片添加为水印\n- 可调节大小、位置和透明度\n- 第 2 次运行时应用效果\n" + ], + "widgets_values_named": { + "text": "## Instructions\n\n# 🛑🚫✋ I HIGHLY suggest that you fix the seed, run the pic, then don’t mess with anything before this so it doesn’t reprocess.\n\n## VRAM issues. See LC123 Performance Settings ⚙️ Note.\n\n### Node order (follow the chain top → bottom)\n\n**Smart Denoise (LCImageDenoise)**\n- Removes noise while trying to keep detail\n- Sigma: higher = smoother, lower = more detail\n- Threshold: how aggressive the denoise is\n- Radius Multiplier: higher for noisy images, lower for clean ones \n💡 Start gentle. Only raise values if the image is actually noisy.\n\n**Color Match (LCColorMatch)**\n- Matches colors to a reference image (usually Image 2)\n- Method: **adain** is the most common and stable\n- Strength: 0–1\n- **Skin protect:** reduces how hard the match hits skin regions (keep faces from shifting hue oddly) \n💡 Great for series consistency. No reference → node can bypass / pass through without erroring.\n\n**Bloom (LCBloom)**\n- Soft glow on bright areas (camera light bloom)\n- Intensity, threshold, and size controls \n💡 A little makes it dreamy. A lot makes it foggy.\n\n**Vignette (LCVignette)**\n- Darkens (or lightens) the edges\n- Amount, softness, and roundness \n💡 Soft vignette looks more natural than hard black borders.\n\n**Image RGB (LCImageRGB)**\n- Simple red / green / blue channel gain\n\n**Lift / Gamma / Gain (LCLiftGammaGain)**\n- Classic three-way color corrector\n- Lift = shadows · Gamma = midtones · Gain = highlights \n💡 This is where most “film look” color work happens.\n\n**Auto White Balance (LCAutoWhiteBalance)**\n- Tries to neutralize overall color cast\n- Method: “Shades of Gray” is usually safest \n💡 Effect is subtle — compare before/after.\n\n**Vibrance (LCVibrance)**\n- Boosts muted colors without destroying already-saturated areas\n- Kinder to skin than normal saturation\n- Vibrance + Saturation + Strength \n💡 Prefer this over regular saturation for portraits.\n\n**Chromatic Aberration (LCChromaticAberration)**\n- Shifts RGB channels for a 3-D / vintage lens look\n- Separate horizontal/vertical amounts for R, G, B \n💡 A little goes a long way. Try small opposite values (R +2, G –1, B –3).\n\n**Sharpen Pro (LCSharpenPro)**\n- **Photorealism-first** mid-tone clarity + edge sharpen (not “ink outline” by default)\n- **Clarity** = local structure · **Sharpen** = finer edge detail · **Strength** = overall mix vs original\n- **Halo** + auto-raise when sharpen is high · **Skin protect** for faces\n- Advanced: radius, blend mode, shadow / highlight protect\n- **Presets fill the sliders** (moving a slider → **Custom**):\n - **Realism:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **Art:** Lineart · Anime sharp \n💡 Start **Natural** or **Portrait** for influencers / NSFW realism. Raise clarity before sharpen. Use **Lineart / Anime sharp** only when you want deliberate edge punch.\n\n**Image Adjust (LCImageAdjust)**\n- Brightness, Contrast, Saturation, Sharpness, Blur\n- Brightness center = 0\n- Contrast & Saturation center = 1\n\n**LC Skin Beauty ✨**\n- See Skin Beauty ✨ markdown Note\n\n**Lens FX (LCLensFX)**\n- General lens distortion and optical effects \n💡 Pair with the next node for more realistic camera simulation.\n\n**Lens Profile (LCLensProfile)**\n- Applies real lens characteristics (e.g. Canon 50mm f/1.8)\n- Optional aberrations \n💡 Adds subtle optical imperfections that make AI images feel more photographic.\n\n**Film Stock B&W (LCFilmStockBW)**\n- Converts to black & white using real film responses\n- 50+ stocks (Ilford HP5+, Kodak Tri-X, Fuji Acros, etc.)\n- Strength + optional filter \n💡 Leave this off if you want to keep color.\n\n**Film Stock Color (LCFilmStockColor)**\n- Applies classic color film response (Ektachrome, Portra, etc.)\n- Strength is the main control \n💡 0.6–0.9 often looks more natural than full strength.\n\n**Film Grain (LCFilmGrain)**\n- Realistic film grain with lots of control\n- Power, scale, shadows/highlights, seed \n💡 Fixed seed keeps the grain consistent. Slightly more grain in shadows usually looks better.\n\n**Desaturate (LCImageDesaturate)**\n- Partial or full desaturation\n- Several methods (luminance Rec.709 is common) \n💡 Useful right before a LUT if you want a muted base.\n\n**Apply LUT (LCApplyLUT)**\n- Applies a 3D LUT (`.cube` file)\n- Strength 0–1 · Log option for certain LUTs\n- **Does not download LUTs from the internet.** \n Put `.cube` files in the folder below yourself (or keep whatever the pack may have **seeded once** from `assets/luts/` into `models/luts/` without overwriting files you already have).\n\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n💡 Free LUTs: freshluts.com. Strength **0.3–0.7** is often nicer than 1.0.\n\n**Image Crop (LCImageCrop)**\n- Inline crop tool\n- X / Y / Width / Height or free mode \n💡 Crop after all effects so you don’t lose edge treatments (vignette, bloom, etc.).\n\n**Text Overlay (LCTextOverlay)**\n- Adds text on the final image\n- Font, size, color, **alignment** (left / center / right), position, opacity\n- Applies on 2nd run\n\n**LC Watermark 💧 (LCWatermark)**\n- Dynamically adds any image as a watermark\n- Adjust size, location, and opacity\n- Applies on the 2nd run\n\n---\n\n## 使用说明\n\n# 🛑🚫✋ 强烈建议你先固定 seed,跑完图片,然后不要再动之前的任何设置,以免重新处理。\n\n## 显存(VRAM)相关问题。请参阅 LC123 Performance Settings ⚙️(性能设置说明)。\n\n### 节点顺序(按链条从上到下)\n\n**智能降噪 (LCImageDenoise)**\n- 在尽量保留细节的同时去除噪点\n- Sigma:数值高更平滑,低则保留更多细节\n- Threshold:控制降噪强度\n- Radius Multiplier:噪点多的图用高值,干净的图用低值 \n💡 从低数值开始。只有真正很噪的时候才提高。\n\n**颜色匹配 (LCColorMatch)**\n- 让当前图匹配参考图(通常是 Image 2)的色调\n- 方法:**adain** 最常用也最稳定\n- 强度:0–1\n- **皮肤保护 (Skin protect):** 减轻匹配对皮肤区域的力度,避免脸部色相被“拉偏” \n💡 做系列图统一肤色或情绪时很好用。没有参考图时可旁路/直通,不会报错。\n\n**光晕 (LCBloom)**\n- 给高光加柔和辉光,模拟相机过曝\n- 强度、阈值、大小 \n💡 少用一点很梦幻,多用就变雾了。\n\n**暗角 (LCVignette)**\n- 压暗(或提亮)边缘\n- 强度、柔和度、圆度 \n💡 柔和暗角比硬黑边自然得多。\n\n**RGB 调整 (LCImageRGB)**\n- 简单的红 / 绿 / 蓝通道增益\n\n**Lift / Gamma / Gain (LCLiftGammaGain)**\n- 经典三点校色\n- Lift = 阴影 · Gamma = 中间调 · Gain = 高光 \n💡 大部分“胶片感”颜色工作都在这里完成。\n\n**自动白平衡 (LCAutoWhiteBalance)**\n- 尝试中和整体色偏\n- 方法:“Shades of Gray” 通常最稳妥 \n💡 效果比较细微,记得对比前后。\n\n**自然饱和度 (LCVibrance)**\n- 提升不饱和颜色,对已经很艳的颜色和肤色更友好\n- 自然饱和度 + 饱和度 + 强度 \n💡 人像优先用这个,而不是普通饱和度。\n\n**色差 (LCChromaticAberration)**\n- 错开 RGB 通道,做出 3D / 复古镜头感\n- 可分别调整红、绿、蓝的水平和垂直偏移 \n💡 一点就够。可以试小相反数值(R +2,G –1,B –3)。\n\n**锐化专业版 (LCSharpenPro)**\n- **以真实感优先**的中调清晰度 + 边缘锐化(默认不是“描边/线稿感”)\n- **Clarity** = 局部结构 · **Sharpen** = 更细的边缘 · **Strength** = 与原图的混合比例\n- **Halo**,且锐化较高时会自动抬高 · **Skin protect** 保护脸部\n- 高级:半径、混合模式、阴影/高光保护\n- **预设会填充滑条**(一动滑条就变成 **Custom**):\n - **写实:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **艺术:** Lineart · Anime sharp \n💡 网红/写实/NSFW 先用 **Natural** 或 **Portrait**,先加 clarity 再加 sharpen。只有需要明显线感时才用 **Lineart / Anime sharp**。\n\n**图像调整 (LCImageAdjust)**\n- 亮度、对比度、饱和度、锐度、模糊\n- 亮度中心 = 0\n- 对比度与饱和度中心 = 1\n\n**LC Skin Beauty ✨**\n- 详见 Skin Beauty ✨ 的 Markdown 说明文档\n\n**镜头特效 (LCLensFX)**\n- 通用镜头畸变和光学效果 \n💡 和下一个节点一起用,模拟更真实的相机光学。\n\n**镜头配置文件 (LCLensProfile)**\n- 应用真实镜头特性(例如 Canon 50mm f/1.8)\n- 可选色差 \n💡 给 AI 图加一点真实光学瑕疵,照片感会强很多。\n\n**黑白胶片 (LCFilmStockBW)**\n- 用真实胶片光谱响应转黑白\n- 50+ 种胶片(Ilford HP5+、Kodak Tri-X、Fuji Acros 等)\n- 强度 + 可选滤镜 \n💡 想留彩色就关掉这个。\n\n**彩色胶片 (LCFilmStockColor)**\n- 应用经典彩色胶片响应(Ektachrome、Portra 等)\n- 强度是主要控制 \n💡 0.6–0.9 往往比满强度更自然。\n\n**胶片颗粒 (LCFilmGrain)**\n- 可精细控制的真实胶片颗粒\n- 强度、缩放、阴影/高光、种子 \n💡 固定种子可以让颗粒保持一致。阴影区域颗粒稍强通常更好看。\n\n**去饱和 (LCImageDesaturate)**\n- 部分或完全去饱和\n- 多种方法可选(luminance Rec.709 较常用) \n💡 在套 LUT 之前用,可以做出更柔和的基础色。\n\n**应用 LUT (LCApplyLUT)**\n- 套用 3D LUT(`.cube` 文件)\n- 强度 0–1 · Log 选项(部分 LUT 需要)\n- **不会从网上自动下载 LUT。** \n 请自行把 `.cube` 放到下面的目录(或保留节点包可能从 `assets/luts/` **一次性拷贝**到 `models/luts/` 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+ "apply_to_unrepeated": 0, + "version": "7.8" + }, + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "lc_w": 270, + "lc_h": 120 + }, + "widgets_values": [ + 2 + ], + "widgets_values_named": { + "inputcount": 2 + }, + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 2379, + "type": "MarkdownNote", + "pos": [ + -8110, + -4240 + ], + "size": [ + 590, + 580 + ], + "flags": { + "collapsed": false + }, + "order": 127, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Conditioning/ edit/ Style: / 条件 / 图像编辑 / 风格笔记:", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "### 👉The Krea 2 Model does **NOT do I2I like Klein_9b.** It uses the images as reference. it will **NOT** reproduce an image directly.\n\n\n### Base Prompt Encode 📝\n\n- Use for normal T2I and Normal I2I\n\n---\n### Image Edit 🖼️🔁\n**⚠️🚫 This does not work if **Sage Attention** is on!** It must be off above (in ⚙️ User Settings)as well as in your **start.bat** file\n\n**Instructions**\n- make sure to turn the switch on \n- Image 1 is your original pic\n- turn on image 2 & 3 as needed\n- Set the prompt in the main prompt area\n\n---\n### Style Transfer 👠🥂👗\n## 🛑 You must use Base Prompt Encode\n- This uses image 2 and 3\n- ⚠️ If you do not have an image truned on, but it is enabled, it gets ignored\n\n**Single Image style transfer**\n- Switch on Image 2 \n\n**Dual Image Style Transfer**\n- Both Image 2 & 3 need to be on\n- ⚠️ Turning on just Image 3 by itself makes it use both 🤔\n\n---\n### 👉 Krea 2 模型 不会 像 Klein_9b 那样进行 I2I。它将图像用作参考,不会 直接复现图像。\n\n\n### 基础提示编码 📝\n- 用于普通 T2I 和普通 I2I\n\n---\n### 图像编辑 🖼️🔁\n**⚠️🚫 如果开启了 **Sage Attention** 则无法使用!** \n必须在上方(⚙️ 用户设置)以及 **start.bat** 文件中将其关闭\n\n**使用说明**\n- 请确保打开此开关\n- Image 1 为你的原始图片\n- 根据需要开启 Image 2 和 Image 3\n- 在主提示词区域输入提示词\n\n---\n### 风格转移 👠🥂👗\n\n## 🛑 你必须使用 Base Prompt Encode\n\n- 这会使用图像 2 和 3\n- ⚠️ 如果没有开启任何图片,但对应开关被启用,它会被忽略。\n\n**单图像风格转移**\n\n- 打开图像 2 开关\n\n**双图像风格转移**\n\n- 图像 2 和 3 都需要打开\n- ⚠️ 单独打开 Image 3 时,它会同时使用两张图片 🤔" + ], + "widgets_values_named": { + "text": "### 👉The Krea 2 Model does **NOT do I2I like Klein_9b.** It uses the images as reference. it will **NOT** reproduce an image directly.\n\n\n### Base Prompt Encode 📝\n\n- Use for normal T2I and Normal I2I\n\n---\n### Image Edit 🖼️🔁\n**⚠️🚫 This does not work if **Sage Attention** is on!** It must be off above (in ⚙️ User Settings)as well as in your **start.bat** file\n\n**Instructions**\n- make sure to turn the switch on \n- Image 1 is your original pic\n- turn on image 2 & 3 as needed\n- Set the prompt in the main prompt area\n\n---\n### Style Transfer 👠🥂👗\n## 🛑 You must use Base Prompt Encode\n- This uses image 2 and 3\n- ⚠️ If you do not have an image truned on, but it is enabled, it gets ignored\n\n**Single Image style transfer**\n- Switch on Image 2 \n\n**Dual Image Style Transfer**\n- Both Image 2 & 3 need to be on\n- ⚠️ Turning on just Image 3 by itself makes it use both 🤔\n\n---\n### 👉 Krea 2 模型 不会 像 Klein_9b 那样进行 I2I。它将图像用作参考,不会 直接复现图像。\n\n\n### 基础提示编码 📝\n- 用于普通 T2I 和普通 I2I\n\n---\n### 图像编辑 🖼️🔁\n**⚠️🚫 如果开启了 **Sage Attention** 则无法使用!** \n必须在上方(⚙️ 用户设置)以及 **start.bat** 文件中将其关闭\n\n**使用说明**\n- 请确保打开此开关\n- Image 1 为你的原始图片\n- 根据需要开启 Image 2 和 Image 3\n- 在主提示词区域输入提示词\n\n---\n### 风格转移 👠🥂👗\n\n## 🛑 你必须使用 Base Prompt Encode\n\n- 这会使用图像 2 和 3\n- ⚠️ 如果没有开启任何图片,但对应开关被启用,它会被忽略。\n\n**单图像风格转移**\n\n- 打开图像 2 开关\n\n**双图像风格转移**\n\n- 图像 2 和 3 都需要打开\n- ⚠️ 单独打开 Image 3 时,它会同时使用两张图片 🤔" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3031, + "type": "LCAnySwitch", + "pos": [ + -7930, + -3580 + ], + "size": [ + 330, + 120 + ], + "flags": { + "collapsed": true + }, + "order": 303, + "mode": 4, + "inputs": [ + { + "label": "MODEL", + "name": "any_01", + "shape": 7, + "type": "MODEL", + "link": 43950 + }, + { + "label": "MODEL", + "name": "any_02", + "shape": 7, + "type": "MODEL", + "link": 43951 + } + ], + "outputs": [ + { + "label": "MODEL", + "name": "MODEL", + "type": "MODEL", + "links": [ + 43954, + 44248 + ] + } + ], + "title": "Style Transfer 👠🥂👗", + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCAnySwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": { + "any_01": true, + "any_02": true, + "any_03": true, + "any_04": true, + "any_05": true, + "any_06": true, + "any_07": true, + "any_08": true, + "any_09": true, + "any_10": true, + "any_11": true, + "any_12": true, + "any_13": true, + "any_14": true, + "any_15": true, + "any_16": true, + "any_17": true, + "any_18": true, + "any_19": true, + "any_20": true + }, + "send_to_any": 0, + "apply_to_unrepeated": 0, + "version": "7.8" + }, + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "lc_w": 330, + "lc_h": 120 + }, + "widgets_values": [ + 2 + ], + "widgets_values_named": { + "inputcount": 2 + }, + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 2721, + "type": "MarkdownNote", + "pos": [ + -6730, + -3740 + ], + "size": [ + 390, + 490 + ], + "flags": {}, + "order": 128, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Krea Moodboard / 笔记", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "**Krea Moodboard**\n\n**[Moodboard Gallery](https://www.krea.ai/app?gallery=moodboards)**\n- Browse this to see images and the style that they were made with\n- You can also 🔎 from the search bar\n\nMoodboard node [Repo](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards)\n\n**Search, save favorites, roll the 🎲 to get a random one**\n- works in conjunction with everything else on this aircraft carrier of a workflow. \n- 💡 Image edit 🖼️🔁 and style transfer 👠👗 tend to override it, so use base prompt encode 📝\n- **strength** set at normal seems to work fine.\n\n---\n\n**Krea Moodboard** \n**[Moodboard Gallery](https://www.krea.ai/app?gallery=moodboards)** \n- 浏览此处可以查看图像以及它们所使用的风格 \n- 你也可以通过搜索栏进行 🔎 搜索 \n\nMoodboard 节点 [仓库](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards) \n\n**搜索、保存收藏、掷 🎲 获取随机一张** \n- 可与工作流中的其他所有部分协同工作(这个工作流堪称航母级别)。 \n- **strength** 设置为 normal(正常)即可正常工作。\n- 💡 图像编辑 🖼️🔁 和风格迁移 👠👗 容易覆盖它,因此建议使用 base prompt encode 📝\n" + ], + "widgets_values_named": { + "text": "**Krea Moodboard**\n\n**[Moodboard Gallery](https://www.krea.ai/app?gallery=moodboards)**\n- Browse this to see images and the style that they were made with\n- You can also 🔎 from the search bar\n\nMoodboard node [Repo](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards)\n\n**Search, save favorites, roll the 🎲 to get a random one**\n- works in conjunction with everything else on this aircraft carrier of a workflow. \n- 💡 Image edit 🖼️🔁 and style transfer 👠👗 tend to override it, so use base prompt encode 📝\n- **strength** set at normal seems to work fine.\n\n---\n\n**Krea Moodboard** \n**[Moodboard Gallery](https://www.krea.ai/app?gallery=moodboards)** \n- 浏览此处可以查看图像以及它们所使用的风格 \n- 你也可以通过搜索栏进行 🔎 搜索 \n\nMoodboard 节点 [仓库](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards) \n\n**搜索、保存收藏、掷 🎲 获取随机一张** \n- 可与工作流中的其他所有部分协同工作(这个工作流堪称航母级别)。 \n- **strength** 设置为 normal(正常)即可正常工作。\n- 💡 图像编辑 🖼️🔁 和风格迁移 👠👗 容易覆盖它,因此建议使用 base prompt encode 📝\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2343, + "type": "Fast Groups Bypasser (rgthree)", + "pos": [ + -7090, + -3150 + ], + "size": [ + 290, + 370 + ], + "flags": {}, + "order": 129, + "mode": 0, + "inputs": [], + "outputs": [ + { + "label": "psst... look around 🤫", + "name": "OPT_CONNECTION", + "type": "*", + "links": [] + } + ], + "title": "Bypasser", + "properties": { + "matchColors": "", + "matchTitle": "#", + "showNav": false, + "showAllGraphs": true, + "sort": "alphanumeric", + "customSortAlphabet": "", + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "color": "#cc8119", + "bgcolor": "#b86d05", + "shape": 2 + }, + { + "id": 1118, + "type": "MarkdownNote", + "pos": [ + -8160, + -3080 + ], + "size": [ + 1030, + 2490 + ], + "flags": {}, + "order": 130, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Krea2 notes 260624", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\n# Instructions\n\n\n\n### Follow me on CivitAi [HERE](https://civitai.com/user/lonecatone23)\n\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n\n### This represents hundreds of hours of work. If you enjoy it, please 👍like, 💬 comment , and feel free to ⚡tip 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n\n## General:\n# 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n### ⚠️ If you get a \"Nonetype:\" error, it's the controlent switches, No image in i2i or mask, or you don't have a sampler turned on. \n### 💾 Save info:\n- NOTHING SAVES UNLESS IT IS TURNED ON! \n- 📂 the folder labels are in the \"Save Group\" if you want to change them.\n- **Save Post Process** saves the final image without Metadata. Use this to enter it manually on CivitAi if teh checkpoint does not show up.\n\n## Model Links \n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF version](https://civitai.red/api/download/models/3069586?fileId=2948449). ⚠️ do not use the other ones found on CivitAI. They are garbage.\n\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - For Image Edit. **Rename after download**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n**Krea 2 Conditioning Rebalance**\n\n- Removes safety filter for NSFW [HERE](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n### Aspect Ratio Node:\n- Use a preset dimension or your own. If you use your own, make sure to set the preset to \"custom\".\n- Prescale: This will downsize your initial choice, which helps with Low VRAM.\n- Upscale: Attached to SEED VR2\n- Hi rez fix slider: This controls the upscale factor of the hi-rez fix. I typically have it at 1.5 to take pressure off of the SEED Vr2 upscaler.\n### I2I and Florence Prompt Generator:\n- ⚠️ Both I2I and Florence must be on to use I2I.\n- ***Background removal***. It helps if you do ot want background in your prompt or in the controlnet model. Read the istructions for its use in that area. \n- ⚠️ Turn off \"text remove\" if you are removing teh background but not using Florence or you will get a \"text\" error\n- The Controlnet uses the **I2I** image as well, so it must be on.\n\n### Prompt enhancer **Qwen 📝🪄**\n- Use Qwen3-VL-8b-Instruct version\n- This is basically a pruned LLM model that enhances your prompt. Enter the instructions on what it should do. \n- The size of the prompt massively affects the generation speed. I have left two different instruction templates in the \"Notes\" section)\n- 💡If you are having issues with the model not loading or not being found, follow the instructions [HERE](https://github.com/huchukato/ComfyUI-QwenVL-Mod)\n\n### Seed Variance Enhancer:\n- randomize_percent: lower is subtle, higher is strong.\n- Noise Amount: Between 20-30. \n- Noise insert: Begining steps work best.\n## 🛑🚫 Draft Mode:\n- when enabled, it stops the workflow at this point (no hirez, detail, etc.)\n- Draft is saved (if \"Save Draft\" is turned on)\n- Play Sound should ding (on portable version only). \n-Instructions to change the sound are in the notes area. (delete if not needed)\n### Upscale tips and tricks:\n- If you struggle with low VRAM, setting the aspect ratio low and using SEED VR2 on the other side will help generation issues. \n- Prescale: The one in the aspect ratio increases the size of the generation, The slider is for Hi-rez fix. \n- Tiled vs. not tiled: Tiling breaks the image up, greatly speeds up processing time, but sacrifices (a little bit of) quality. Set them as high as possible. \n### Hi-REZ upscale:\n- Use Ultra Sharp, Niclekback, or Ersgan for realism.\n- Use Anime sharp for...well... Anime.\n- If you struggle with VRAM, use the slider at the bottom. It increases the amnount of tiles by decreasing the size. Use it opnly to prevent OOM issues or brick ups. \n- [upscale models](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- If you struggle with noise (often from poorly made Loras), this wil do a slightly better job of cleaning it. [Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n### Detailers:\n- **(ZIT VERSION ONLY)** ✋ Make sure to use a checkpoint that matches your style of work. (i.e. Realism, Anime)\n- Change the sampler and scheduler accordingly.\n- Face & hands detector [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- Eyes [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo: what's the differrence between V8n & V8s?** The \"n\" stands for \"nano\" less accurate but les VRAM. Use S whenever possible. This is typically an issue on the face detailer\n### 🚫 Detailers NSFW (if applicable):\n- Turn off female if you are going to use male or you may get odd results.\n- ⚠️ There are two different types of detailers. The SEGs and the SAM detailers. Each works differently and with different models. You will get a wierd error if you put the wrong model in the SEGs loader. It's mainly for body. Use the other two for specifics\n- [female body detection](https://civitai.com/models/1816953/female-body-detection)\n- [Male Body Parts Detection](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- Place them in the segm foler (see below).\n- [Other body parts (watch what you download)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- If this is not the NSFW Version and you would like it. I should have it on my [Civitai page](https://civitai.com/user/lonecatone23) or message me.\n### Seed VR2 Upscaler:\n- [Watch this video](https://www.youtube.com/watch?v=MBtWYXq_r60).\n- This is set up for low VRAM. For higher VRAM, turn off tiling in the VAE and then increase resolution.\n- Debug is on. If you watch the log, it will warn you or tell you that you have more space top increase. \n*Automatic Downloads*\n- The selected model and VAE files will be downloaded automatically on first use.\n- ⚠️ Because these models are large, the download may take several minutes.\n- Monitor the console log for download progress.\n- Manual download into the 📂`ComfyUI\\models\\SEEDVR2` directory is possible. \n- Models can be found [here](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) and [here](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main).\n## Controlnet\n- ⚠️ When it is bypassed, all of the switches get reset. ***You have to go through and redo them.***\n- ⚠️ Controlnet does not work unless the I2I image is on. \n### Model patch\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- use ver 2.1\n### LUT\n- You can get free LUTs [HERE](https://freshluts.com)\n- See below for folder location \n***DING!*** (play sound)\n- Only works on the portable version for some reason\n- Directions to add your own are below.\n- you have to manually enter the name of the file (case sensitive).\n### Useful Nodes links:\n\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n\n[Controlnet](https://github.com/Fannovel16/comfyui_controlnet_aux)\n\n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n\n[ComfyUI-Custom-Scvripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)\n\n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n\n[Use everywhere nodes](https://github.com/chrisgoringe/cg-use-everywhere)\n\n[Virtuoso nodes](https://github.com/chrisfreilich/virtuoso-nodes) \n\n[JWS Nodes](https://github.com/jamesWalker55/comfyui-various) resize node options (if you can't load it)\n\n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3)\n\n[Seed variance Enhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer)\n\n[Captain Flowmatch](https://github.com/capitan01R/ComfyUI-CapitanFlowMatch)\n\n[Captain Flowmatch Conditioning Enhancer](https://github.com/capitan01R/Capitan-ConditioningEnhancer)\n\n[Prompt Reader Nodes](https://github.com/receyuki/comfyui-prompt-reader-node?tab=readme-ov-file#installation)\n\n[Optical Realism](https://github.com/skatardude10/ComfyUI-Optical-Realism)\n\n### File Locations\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── Lut files\n│ ├── 📂 SEED VR2\n│ │ └── All files\n│ ├── 📂 uralytics\n│ │ └── 📂 segm\n│ │ └──detection files\n│ ├── 📂 upscale_models\n│ │ └── upscale models (Ersgan, Nickelback, etc.)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3 (or any other .mp3 sound)\n\n\n\n\n\n" + ], + "widgets_values_named": { + "text": "\n# Instructions\n\n\n\n### Follow me on CivitAi [HERE](https://civitai.com/user/lonecatone23)\n\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n\n### This represents hundreds of hours of work. If you enjoy it, please 👍like, 💬 comment , and feel free to ⚡tip 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n\n## General:\n# 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n### ⚠️ If you get a \"Nonetype:\" error, it's the controlent switches, No image in i2i or mask, or you don't have a sampler turned on. \n### 💾 Save info:\n- NOTHING SAVES UNLESS IT IS TURNED ON! \n- 📂 the folder labels are in the \"Save Group\" if you want to change them.\n- **Save Post Process** saves the final image without Metadata. Use this to enter it manually on CivitAi if teh checkpoint does not show up.\n\n## Model Links \n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF version](https://civitai.red/api/download/models/3069586?fileId=2948449). ⚠️ do not use the other ones found on CivitAI. They are garbage.\n\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - For Image Edit. **Rename after download**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n**Krea 2 Conditioning Rebalance**\n\n- Removes safety filter for NSFW [HERE](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n### Aspect Ratio Node:\n- Use a preset dimension or your own. If you use your own, make sure to set the preset to \"custom\".\n- Prescale: This will downsize your initial choice, which helps with Low VRAM.\n- Upscale: Attached to SEED VR2\n- Hi rez fix slider: This controls the upscale factor of the hi-rez fix. I typically have it at 1.5 to take pressure off of the SEED Vr2 upscaler.\n### I2I and Florence Prompt Generator:\n- ⚠️ Both I2I and Florence must be on to use I2I.\n- ***Background removal***. It helps if you do ot want background in your prompt or in the controlnet model. Read the istructions for its use in that area. \n- ⚠️ Turn off \"text remove\" if you are removing teh background but not using Florence or you will get a \"text\" error\n- The Controlnet uses the **I2I** image as well, so it must be on.\n\n### Prompt enhancer **Qwen 📝🪄**\n- Use Qwen3-VL-8b-Instruct version\n- This is basically a pruned LLM model that enhances your prompt. Enter the instructions on what it should do. \n- The size of the prompt massively affects the generation speed. I have left two different instruction templates in the \"Notes\" section)\n- 💡If you are having issues with the model not loading or not being found, follow the instructions [HERE](https://github.com/huchukato/ComfyUI-QwenVL-Mod)\n\n### Seed Variance Enhancer:\n- randomize_percent: lower is subtle, higher is strong.\n- Noise Amount: Between 20-30. \n- Noise insert: Begining steps work best.\n## 🛑🚫 Draft Mode:\n- when enabled, it stops the workflow at this point (no hirez, detail, etc.)\n- Draft is saved (if \"Save Draft\" is turned on)\n- Play Sound should ding (on portable version only). \n-Instructions to change the sound are in the notes area. (delete if not needed)\n### Upscale tips and tricks:\n- If you struggle with low VRAM, setting the aspect ratio low and using SEED VR2 on the other side will help generation issues. \n- Prescale: The one in the aspect ratio increases the size of the generation, The slider is for Hi-rez fix. \n- Tiled vs. not tiled: Tiling breaks the image up, greatly speeds up processing time, but sacrifices (a little bit of) quality. Set them as high as possible. \n### Hi-REZ upscale:\n- Use Ultra Sharp, Niclekback, or Ersgan for realism.\n- Use Anime sharp for...well... Anime.\n- If you struggle with VRAM, use the slider at the bottom. It increases the amnount of tiles by decreasing the size. Use it opnly to prevent OOM issues or brick ups. \n- [upscale models](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- If you struggle with noise (often from poorly made Loras), this wil do a slightly better job of cleaning it. [Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n### Detailers:\n- **(ZIT VERSION ONLY)** ✋ Make sure to use a checkpoint that matches your style of work. (i.e. Realism, Anime)\n- Change the sampler and scheduler accordingly.\n- Face & hands detector [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- Eyes [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo: what's the differrence between V8n & V8s?** The \"n\" stands for \"nano\" less accurate but les VRAM. Use S whenever possible. This is typically an issue on the face detailer\n### 🚫 Detailers NSFW (if applicable):\n- Turn off female if you are going to use male or you may get odd results.\n- ⚠️ There are two different types of detailers. The SEGs and the SAM detailers. Each works differently and with different models. You will get a wierd error if you put the wrong model in the SEGs loader. It's mainly for body. Use the other two for specifics\n- [female body detection](https://civitai.com/models/1816953/female-body-detection)\n- [Male Body Parts Detection](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- Place them in the segm foler (see below).\n- [Other body parts (watch what you download)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- If this is not the NSFW Version and you would like it. I should have it on my [Civitai page](https://civitai.com/user/lonecatone23) or message me.\n### Seed VR2 Upscaler:\n- [Watch this video](https://www.youtube.com/watch?v=MBtWYXq_r60).\n- This is set up for low VRAM. For higher VRAM, turn off tiling in the VAE and then increase resolution.\n- Debug is on. If you watch the log, it will warn you or tell you that you have more space top increase. \n*Automatic Downloads*\n- The selected model and VAE files will be downloaded automatically on first use.\n- ⚠️ Because these models are large, the download may take several minutes.\n- Monitor the console log for download progress.\n- Manual download into the 📂`ComfyUI\\models\\SEEDVR2` directory is possible. \n- Models can be found [here](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) and [here](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main).\n## Controlnet\n- ⚠️ When it is bypassed, all of the switches get reset. ***You have to go through and redo them.***\n- ⚠️ Controlnet does not work unless the I2I image is on. \n### Model patch\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- use ver 2.1\n### LUT\n- You can get free LUTs [HERE](https://freshluts.com)\n- See below for folder location \n***DING!*** (play sound)\n- Only works on the portable version for some reason\n- Directions to add your own are below.\n- you have to manually enter the name of the file (case sensitive).\n### Useful Nodes links:\n\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n\n[Controlnet](https://github.com/Fannovel16/comfyui_controlnet_aux)\n\n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n\n[ComfyUI-Custom-Scvripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)\n\n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n\n[Use everywhere nodes](https://github.com/chrisgoringe/cg-use-everywhere)\n\n[Virtuoso nodes](https://github.com/chrisfreilich/virtuoso-nodes) \n\n[JWS Nodes](https://github.com/jamesWalker55/comfyui-various) resize node options (if you can't load it)\n\n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3)\n\n[Seed variance Enhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer)\n\n[Captain Flowmatch](https://github.com/capitan01R/ComfyUI-CapitanFlowMatch)\n\n[Captain Flowmatch Conditioning Enhancer](https://github.com/capitan01R/Capitan-ConditioningEnhancer)\n\n[Prompt Reader Nodes](https://github.com/receyuki/comfyui-prompt-reader-node?tab=readme-ov-file#installation)\n\n[Optical Realism](https://github.com/skatardude10/ComfyUI-Optical-Realism)\n\n### File Locations\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── Lut files\n│ ├── 📂 SEED VR2\n│ │ └── All files\n│ ├── 📂 uralytics\n│ │ └── 📂 segm\n│ │ └──detection files\n│ ├── 📂 upscale_models\n│ │ └── upscale models (Ersgan, Nickelback, etc.)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3 (or any other .mp3 sound)\n\n\n\n\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2375, + "type": "LoadImage", + "pos": [ + -8790, + -3900 + ], + "size": [ + 430, + 600 + ], + "flags": {}, + "order": 131, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 27845, + 45899, + 45902 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": [] + } + ], + "title": "Image 3", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.30", + "Node name for S&R": "LoadImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.1", + "input_ue_unconnectable": {} + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "widgets_values": [ + "Lonecats Krea 2 With Metadata 2026-07-04-220524.png", + "image" + ], + "widgets_values_named": { + "image": "Lonecats Krea 2 With Metadata 2026-07-04-220524.png", + "upload": "image" + }, + "color": "#366b19", + "bgcolor": "#225705", + "shape": 2 + }, + { + "id": 3014, + "type": "LCSamplerConfigure", + "pos": [ + -6340, + -4620 + ], + "size": [ + 320, + 420 + ], + "flags": { + "pinned": true + }, + "order": 132, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "total_steps", + "type": "INT", + "links": [ + 43882 + ] + }, + { + "name": "cfg_1", + "type": "FLOAT", + "links": [ + 43883 + ] + }, + { + "name": "denoise", + "type": "FLOAT", + "links": [ + 43884 + ] + }, + { + "name": "step_swap", + "type": "INT", + "links": [ + 43885 + ] + }, + { + "name": "cfg_2", + "type": "FLOAT", + "links": [ + 43886 + ] + }, + { + "name": "sampler_name", + "type": "COMBO", + "links": [ + 43887 + ] + }, + { + "name": "scheduler", + "type": "COMBO", + "links": [ + 43888 + ] + }, + { + "name": "detailer_steps", + "type": "INT", + "links": [ + 43889 + ] + } + ], + "title": "LC Sampler Configure ⚙️", + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCSamplerConfigure", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "lc_w": 320, + "lc_h": 420 + }, + "widgets_values": [ + 12, + 8, + 8, + 1, + "", + 2, + 1, + "", + "euler", + "simple" + ], + "widgets_values_named": { + "total_steps": 12, + "step_swap": 8, + "detailer_steps": 8, + "denoise": 1, + "_gap1": "", + "cfg_1": 2, + "cfg_2": 1, + "_gap2": "", + "sampler_name": "euler", + "scheduler": "simple" + }, + "color": "#707070", + "bgcolor": "#707070" + }, + { + "id": 2917, + "type": "LCVRAMCacheClear", + "pos": [ + -5620, + -3880 + ], + "size": [ + 270, + 30 + ], + "flags": {}, + "order": 238, + "mode": 4, + "inputs": [ + { + "name": "any", + "type": "*", + "link": 43840 + } + ], + "outputs": [ + { + "name": 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"type": "PowerLoraLoaderHeaderWidget" + }, + "lora_1": { + "on": false, + "lora": "Krea 2\\Styles\\Project_Art_Styles_for_Krea_2-Illustrarealism.safetensors", + "strength": 0.7, + "strengthTwo": null + }, + "lora_2": { + "on": false, + "lora": "Krea 2\\detailers and sliders\\Detailer_-_Krea2_project.safetensors", + "strength": 0.65, + "strengthTwo": null + }, + "lora_3": { + "on": false, + "lora": "Krea 2\\Styles\\krea2_ta86_inkriot_V2.safetensors", + "strength": 0.9, + "strengthTwo": null + }, + "lora_4": { + "on": false, + "lora": "Krea 2\\Styles\\krea2_ta86_artsy_woman.safetensors", + "strength": 0.63, + "strengthTwo": null + }, + "lora_5": { + "on": false, + "lora": "Krea 2\\Realism helpers\\lenovo_krea2.safetensors", + "strength": 0.65, + "strengthTwo": null + }, + "lora_6": { + "on": false, + "lora": "Krea 2\\Characters\\RLY-thot_shot-KREA2-paige-v1-trigger-rlypaige.safetensors", + "strength": 1, + "strengthTwo": null + }, + "➕ Add Lora": "" + }, + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 3390, + "type": "AILab_QwenVL_GGUF_PromptEnhancer", + "pos": [ + -5600, + -4840 + ], + "size": [ + 270, + 460 + ], + "flags": { + "pinned": true + }, + "order": 161, + "mode": 0, + "inputs": [ + { + "name": "prompt_text", + "type": "STRING", + "widget": { + "name": "prompt_text" + }, + "link": 46333 + }, + { + "name": "seed", + "type": "INT", + "widget": { + "name": "seed" + }, + "link": 46335 + } + ], + "outputs": [ + { + "name": "ENHANCED_OUTPUT", + "type": "STRING", + "links": [ + 46334, + 46336 + ] + } + ], + "title": "Qwen Prompt 📝", + "properties": { + "aux_id": "huchukato/ComfyUI-QwenVL-Mod", + "ver": "4546a5ae263b4bea15021c9d3e0e83bedcd963b8", + "Node name for S&R": "AILab_QwenVL_GGUF_PromptEnhancer", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "[local] Qwen3-4B-abliterated-bf16.gguf", + "", + "📝 Enhance", + "None", + "[PHOTOREALISTIC]", + 8192, + 0.7, + 0.9, + 1.1, + false, + "auto", + true, + 1, + "randomize", + false + ], + "widgets_values_named": { + "model_name": "[local] Qwen3-4B-abliterated-bf16.gguf", + "prompt_text": "", + "preset_system_prompt": "📝 Enhance", + "camera_tag": "None", + "style_tag": "[PHOTOREALISTIC]", + "max_tokens": 8192, + "temperature": 0.7, + "top_p": 0.9, + "repetition_penalty": 1.1, + "english_output": false, + "device": "auto", + "keep_model_loaded": true, + "seed": 1, + "control_after_generate": "randomize", + "keep_last_prompt": false + }, + "color": "#374445", + "bgcolor": "#474539" + }, + { + "id": 2917, + "type": "LCVRAMCacheClear", + "pos": [ + -5600, + -4340 + ], + "size": [ + 270, + 30 + ], + "flags": { + "pinned": true + }, + "order": 185, + "mode": 0, + "inputs": [ + { + "name": "any", + "type": "*", + "link": 46336 + } + ], + "outputs": [ + { + "name": "any", + "type": "*", + "links": null + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCVRAMCacheClear", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 3072, + "type": "GetNode", + "pos": [ + -5970, + -4130 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 42, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 44013 + ] + } + ], + "title": "Get_Cnet Model", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Cnet Model" + ], + "widgets_values_named": { + "Constant": "Cnet Model" + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 2685, + "type": "SamplerCustomAdvanced", + "pos": [ + -4900, + -4080 + ], + "size": [ + 310, + 110 + ], + "flags": { + "collapsed": false, + "pinned": true + }, + "order": 263, + "mode": 0, + "inputs": [ + { + "name": "noise", + "type": "NOISE", + "link": 27916 + }, + { + "name": "guider", + "type": "GUIDER", + "link": 27915 + }, + { + "name": "sampler", + "type": "SAMPLER", + "link": 27914 + }, + { + "name": "sigmas", + "type": "SIGMAS", + "link": 46370 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 44011 + } + ], + "outputs": [ + { + "name": "output", + "type": "LATENT", + "links": [ + 44150 + ] + }, + { + "name": "denoised_output", + "type": "LATENT", + "links": [] + } + ], + "title": "High Pass Sampler", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.27.0", + "Node name for S&R": "SamplerCustomAdvanced", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 3109, + "type": "LCStop", + "pos": [ + -4900, + -4170 + ], + "size": [ + 310, + 50 + ], + "flags": { + "pinned": true + }, + "order": 282, + "mode": 0, + "inputs": [ + { + "name": "In", + "type": "*", + "link": 44288 + } + ], + "outputs": [ + { + "name": "*", + "type": "*", + "links": [ + 44289 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCStop", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + false + ], + "widgets_values_named": { + "enable": false + }, + "color": "#963232", + "bgcolor": "#963232" + }, + { + "id": 3070, + "type": "SamplerCustomAdvanced", + "pos": [ + -4900, + -3930 + ], + "size": [ + 310, + 110 + ], + "flags": { + "pinned": true + }, + "order": 268, + "mode": 0, + "inputs": [ + { + "name": "noise", + "type": "NOISE", + "link": 44012 + }, + { + "name": "guider", + "type": "GUIDER", + "link": 44042 + }, + { + "name": "sampler", + "type": "SAMPLER", + "link": 44193 + }, + { + "name": "sigmas", + "type": "SIGMAS", + "link": 44178 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 44150 + } + ], + "outputs": [ + { + "name": "output", + "type": "LATENT", + "links": [ + 44025 + ] + }, + { + "name": "denoised_output", + "type": "LATENT", + "links": null + } + ], + "title": "Low Pass Sampler", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.31.0", + "Node name for S&R": "SamplerCustomAdvanced", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 2323, + "type": "DetailDaemonSamplerNode", + "pos": [ + -4900, + -3780 + ], + "size": [ + 310, + 280 + ], + "flags": { + "pinned": true + }, + "order": 200, + "mode": 0, + "inputs": [ + { + "name": "sampler", + "type": "SAMPLER", + "link": 27937 + } + ], + "outputs": [ + { + "name": "SAMPLER", + "type": "SAMPLER", + "links": [ + 27914, + 44293 + ] + } + ], + "title": "Detail Daemon Sampler 😈", + "properties": { + "cnr_id": "comfyui-detail-daemon", + "ver": "1.1.3", + "Node name for S&R": "DetailDaemonSamplerNode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "widgets_values": [ + 0.3, + 0.25, + 0.8, + 0, + 1, + 0, + 0, + 0, + true, + 0 + ], + "widgets_values_named": { + "detail_amount": 0.3, + "start": 0.25, + "end": 0.8, + "bias": 0, + "exponent": 1, + "start_offset": 0, + "end_offset": 0, + "fade": 0, + "smooth": true, + "cfg_scale_override": 0 + }, + "color": "#432", + "bgcolor": "#653", + "shape": 2 + }, + { + "id": 2279, + "type": "PreviewImage", + "pos": [ + -4580, + -4170 + ], + "size": [ + 550, + 670 + ], + "flags": { + "pinned": true + }, + "order": 273, + "mode": 0, + "inputs": [ + { + "label": "Rough Draft", + "name": "images", + "type": "IMAGE", + "link": 19613 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.7.0", + "Node name for S&R": "PreviewImage", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "widgets_values": [], + "widgets_values_named": {}, + "color": "#233", + "bgcolor": "#355", + "shape": 2 + }, + { + "id": 2705, + "type": "Label (rgthree)", + "pos": [ + -5850, + -2730 + ], + "size": [ + 531.9375, + 48 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 43, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "💡 Psst.... Over here 👇", + "properties": { + "fontSize": 48, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 3144, + "type": "MarkdownNote", + "pos": [ + -6740, + -3170 + ], + "size": [ + 790, + 1600 + ], + "flags": { + "pinned": true + }, + "order": 44, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "# LC123 Performance Settings ⚙️", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# LC123 Performance Settings ⚙️\n\n> **UI only** — smoother scrolling and lighter on-node previews. \n> These settings do **not** change generation VRAM, model load, or output image quality on the sockets.\n\n---\n\n## Where to find them\n\n1. Open **ComfyUI Settings** (gear).\n2. In the sidebar, open **LC123**.\n3. Open **Performance**.\n\nIf you don’t see the full list: restart ComfyUI, then **Ctrl+F5** (hard refresh) so the updated `web/lc_performance_settings.js` loads.\n\n---\n\n## What each option does\n\n| Setting | Default | What it does |\n|--------|---------|----------------|\n| **Remove wipe** | Off | Turns off hover A/B wipe on **image FX** nodes. Last result still shows. |\n| **Half-resolution previews** | Off | Draws FX previews at **half** the node’s image area (less GPU/CPU work while panning). |\n| **Clamp longest side** | Off | Downscales the **on-node** preview bitmap so the longest side ≤ **Max edge**. |\n| **Max edge (px)** | 768 | Used only when **Clamp longest side** is on. Try 512–1024 on heavy graphs. |\n| **No preview when collapsed** | On | Collapsed FX nodes skip drawing previews (less work while scrolling). |\n| **Hide FX on-node previews** | Off | Hides all LC **image FX** on-node previews. Socket outputs are unchanged. |\n| **Skin Beauty full preview override** | On | **LC Skin Beauty** keeps a **full-quality** on-node preview even if half-res / clamp are on (for zooming skin detail). Wipe still follows **Remove wipe**. |\n\n---\n\n## What is *not* affected\n\nThese stay fully interactive and are **not** driven by the Performance toggles:\n\n- **LC Image Compare 🔎**\n- **LC Dynamic Overlay**\n- **LC Image Split 🖼️**\n\nGeneration, Save Image, and every **IMAGE** output socket still use full resolution.\n\n---\n\n## Suggested setups\n\n### Default (shipped)\nLeave everything at default: full FX previews, wipe on, Skin Beauty override on.\n\n### Heavy graph / laggy scroll\n1. Turn **Half-resolution previews** **On** \n2. Turn **Clamp longest side** **On** (Max edge **512** or **768**) \n3. Keep **No preview when collapsed** **On** \n4. Leave **Skin Beauty full preview override** **On** if you still inspect skin on the node \n\n### Maximum UI lightness\n1. **Hide FX on-node previews** **On** \n2. Or use **Remove wipe** + half-res + clamp \n3. Use **Image Compare** / **Image Split** when you need a wipe \n\n---\n\n## Notes\n\n- Changes apply on the next canvas redraw (panning or queue is enough; no reinstall needed).\n- Optional SAM / LayerStyle / big models are separate from these settings; they still use their own VRAM.\n- Pack files: `web/lc_performance_settings.js`, `web/lc_image_preview.js`\n---\n\n**\"True, nothing is. Permitted, everything is\"**_Yoda Auditore. *Assassin's Wars*\n\n---\n\n---\n\n# LC123 性能设置 ⚙️\n\n> **仅影响界面** — 滚动更顺、节点内预览更轻。 \n> 这些设置**不会**改变生成时的显存占用、模型加载,或输出接口上的图像质量。\n\n---\n\n## 在哪里找到\n\n1. 打开 **ComfyUI 设置**(齿轮图标)。 \n2. 在侧边栏中打开 **LC123**。 \n3. 打开 **Performance**。\n\n如果看不到完整列表:请重启 ComfyUI,然后按 **Ctrl+F5**(强制刷新),以便加载更新后的 `web/lc_performance_settings.js`。\n\n---\n\n## 各选项说明\n\n| 设置 | 默认 | 作用 |\n|------|------|------|\n| **Remove wipe** | 关 | 关闭 **图像 FX** 节点上的悬停 A/B 对比条。仍显示最近一次结果。 |\n| **Half-resolution previews** | 关 | 将 FX 预览绘制为节点图像区域的 **一半**(平移时减少 GPU/CPU 负担)。 |\n| **Clamp longest side** | 关 | 缩小 **节点内** 预览位图,使最长边 ≤ **Max edge**。 |\n| **Max edge (px)** | 768 | 仅在开启 **Clamp longest side** 时生效。复杂工作流可试 512–1024。 |\n| **No preview when collapsed** | 开 | 折叠的 FX 节点不再绘制预览(滚动时更省资源)。 |\n| **Hide FX on-node previews** | 关 | 隐藏所有 LC **图像 FX** 的节点内预览。接口输出不变。 |\n| **Skin Beauty full preview override** | 开 | 即使开启半分辨率/最长边限制,**LC Skin Beauty** 仍保持 **全质量** 节点内预览(方便放大看肤质)。对比条仍遵循 **Remove wipe**。 |\n\n---\n\n## 不受影响的内容\n\n以下节点保持完整交互,**不受** Performance 开关控制:\n\n- **LC Image Compare 🔎** \n- **LC Dynamic Overlay** \n- **LC Image Split 🖼️** \n\n生成、Save Image,以及所有 **IMAGE** 输出接口仍使用全分辨率。\n\n---\n\n## 推荐配置\n\n### 默认(出厂)\n全部保持默认:完整 FX 预览、开启对比条、开启 Skin Beauty 覆盖。\n\n### 复杂工作流 / 滚动卡顿\n1. 打开 **Half-resolution previews** \n2. 打开 **Clamp longest side**(Max edge 设为 **512** 或 **768**) \n3. 保持 **No preview when collapsed** 为 **开** \n4. 若仍需在节点上查看皮肤细节,保持 **Skin Beauty full preview override** 为 **开** \n\n### 界面最轻量\n1. 打开 **Hide FX on-node previews** \n2. 或使用 **Remove wipe** + 半分辨率 + 最长边限制 \n3. 需要对比条时使用 **Image Compare** / **Image Split** \n\n---\n\n## 说明\n\n- 更改在下次画布重绘时生效(平移或排队即可,无需重装)。 \n- 可选的 SAM / LayerStyle / 大型模型与这些设置无关,仍会占用各自的显存。 \n- 相关文件:`web/lc_performance_settings.js`、`web/lc_image_preview.js` \n\n---\n\n**\"True, nothing is. Permitted, everything is\"** \n— Yoda Auditore,《Assassin's Wars》" + ], + "widgets_values_named": { + "text": "# LC123 Performance Settings ⚙️\n\n> **UI only** — smoother scrolling and lighter on-node previews. \n> These settings do **not** change generation VRAM, model load, or output image quality on the sockets.\n\n---\n\n## Where to find them\n\n1. Open **ComfyUI Settings** (gear).\n2. In the sidebar, open **LC123**.\n3. Open **Performance**.\n\nIf you don’t see the full list: restart ComfyUI, then **Ctrl+F5** (hard refresh) so the updated `web/lc_performance_settings.js` loads.\n\n---\n\n## What each option does\n\n| Setting | Default | What it does |\n|--------|---------|----------------|\n| **Remove wipe** | Off | Turns off hover A/B wipe on **image FX** nodes. Last result still shows. |\n| **Half-resolution previews** | Off | Draws FX previews at **half** the node’s image area (less GPU/CPU work while panning). |\n| **Clamp longest side** | Off | Downscales the **on-node** preview bitmap so the longest side ≤ **Max edge**. |\n| **Max edge (px)** | 768 | Used only when **Clamp longest side** is on. Try 512–1024 on heavy graphs. |\n| **No preview when collapsed** | On | Collapsed FX nodes skip drawing previews (less work while scrolling). |\n| **Hide FX on-node previews** | Off | Hides all LC **image FX** on-node previews. Socket outputs are unchanged. |\n| **Skin Beauty full preview override** | On | **LC Skin Beauty** keeps a **full-quality** on-node preview even if half-res / clamp are on (for zooming skin detail). Wipe still follows **Remove wipe**. |\n\n---\n\n## What is *not* affected\n\nThese stay fully interactive and are **not** driven by the Performance toggles:\n\n- **LC Image Compare 🔎**\n- **LC Dynamic Overlay**\n- **LC Image Split 🖼️**\n\nGeneration, Save Image, and every **IMAGE** output socket still use full resolution.\n\n---\n\n## Suggested setups\n\n### Default (shipped)\nLeave everything at default: full FX previews, wipe on, Skin Beauty override on.\n\n### Heavy graph / laggy scroll\n1. Turn **Half-resolution previews** **On** \n2. Turn **Clamp longest side** **On** (Max edge **512** or **768**) \n3. Keep **No preview when collapsed** **On** \n4. Leave **Skin Beauty full preview override** **On** if you still inspect skin on the node \n\n### Maximum UI lightness\n1. **Hide FX on-node previews** **On** \n2. Or use **Remove wipe** + half-res + clamp \n3. Use **Image Compare** / **Image Split** when you need a wipe \n\n---\n\n## Notes\n\n- Changes apply on the next canvas redraw (panning or queue is enough; no reinstall needed).\n- Optional SAM / LayerStyle / big models are separate from these settings; they still use their own VRAM.\n- Pack files: `web/lc_performance_settings.js`, `web/lc_image_preview.js`\n---\n\n**\"True, nothing is. Permitted, everything is\"**_Yoda Auditore. *Assassin's Wars*\n\n---\n\n---\n\n# LC123 性能设置 ⚙️\n\n> **仅影响界面** — 滚动更顺、节点内预览更轻。 \n> 这些设置**不会**改变生成时的显存占用、模型加载,或输出接口上的图像质量。\n\n---\n\n## 在哪里找到\n\n1. 打开 **ComfyUI 设置**(齿轮图标)。 \n2. 在侧边栏中打开 **LC123**。 \n3. 打开 **Performance**。\n\n如果看不到完整列表:请重启 ComfyUI,然后按 **Ctrl+F5**(强制刷新),以便加载更新后的 `web/lc_performance_settings.js`。\n\n---\n\n## 各选项说明\n\n| 设置 | 默认 | 作用 |\n|------|------|------|\n| **Remove wipe** | 关 | 关闭 **图像 FX** 节点上的悬停 A/B 对比条。仍显示最近一次结果。 |\n| **Half-resolution previews** | 关 | 将 FX 预览绘制为节点图像区域的 **一半**(平移时减少 GPU/CPU 负担)。 |\n| **Clamp longest side** | 关 | 缩小 **节点内** 预览位图,使最长边 ≤ **Max edge**。 |\n| **Max edge (px)** | 768 | 仅在开启 **Clamp longest side** 时生效。复杂工作流可试 512–1024。 |\n| **No preview when collapsed** | 开 | 折叠的 FX 节点不再绘制预览(滚动时更省资源)。 |\n| **Hide FX on-node previews** | 关 | 隐藏所有 LC **图像 FX** 的节点内预览。接口输出不变。 |\n| **Skin Beauty full preview override** | 开 | 即使开启半分辨率/最长边限制,**LC Skin Beauty** 仍保持 **全质量** 节点内预览(方便放大看肤质)。对比条仍遵循 **Remove wipe**。 |\n\n---\n\n## 不受影响的内容\n\n以下节点保持完整交互,**不受** Performance 开关控制:\n\n- **LC Image Compare 🔎** \n- **LC Dynamic Overlay** \n- **LC Image Split 🖼️** \n\n生成、Save Image,以及所有 **IMAGE** 输出接口仍使用全分辨率。\n\n---\n\n## 推荐配置\n\n### 默认(出厂)\n全部保持默认:完整 FX 预览、开启对比条、开启 Skin Beauty 覆盖。\n\n### 复杂工作流 / 滚动卡顿\n1. 打开 **Half-resolution previews** \n2. 打开 **Clamp longest side**(Max edge 设为 **512** 或 **768**) \n3. 保持 **No preview when collapsed** 为 **开** \n4. 若仍需在节点上查看皮肤细节,保持 **Skin Beauty full preview override** 为 **开** \n\n### 界面最轻量\n1. 打开 **Hide FX on-node previews** \n2. 或使用 **Remove wipe** + 半分辨率 + 最长边限制 \n3. 需要对比条时使用 **Image Compare** / **Image Split** \n\n---\n\n## 说明\n\n- 更改在下次画布重绘时生效(平移或排队即可,无需重装)。 \n- 可选的 SAM / LayerStyle / 大型模型与这些设置无关,仍会占用各自的显存。 \n- 相关文件:`web/lc_performance_settings.js`、`web/lc_image_preview.js` \n\n---\n\n**\"True, nothing is. Permitted, everything is\"** \n— Yoda Auditore,《Assassin's Wars》" + }, + "color": "#dc6947", + "bgcolor": "#c85533" + }, + { + "id": 3321, + "type": "GetNode", + "pos": [ + -4350, + -1370 + ], + "size": [ + 210, + 50 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 45, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "LC_SAVE_META", + "type": "LC_SAVE_META", + "links": [ + 46342 + ] + } + ], + "title": "Get_Metadata 🏷️", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Metadata 🏷️" + ], + "widgets_values_named": { + "Constant": "Metadata 🏷️" + } + }, + { + "id": 3393, + "type": "LCAdvancedFolder", + "pos": [ + -4350, + -1290 + ], + "size": [ + 300, + 200 + ], + "flags": { + "pinned": true + }, + "order": 127, + "mode": 0, + "inputs": [ + { + "name": "prefix", + "type": "STRING", + 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"embed_civitai": true, + "hash_resources": true, + "filename_prefix": "" + }, + "color": "#28281E", + "bgcolor": "#28281E" + }, + { + "id": 3139, + "type": "GetNode", + "pos": [ + -5890, + -3370 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 46, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 44898, + 44899 + ] + } + ], + "title": "Get_Pro Post", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Pro Post" + ], + "widgets_values_named": { + "Constant": "Pro Post" + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 173, + "type": "GetNode", + "pos": [ + -5190, + -3370 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 47, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "*", + "type": "*", + "links": [ + 514 + ] + } + ], + "title": "Get_Rough Draft", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Rough Draft" + ], + "widgets_values_named": { + "Constant": "Rough Draft" + }, + "shape": 2 + }, + { + "id": 174, + "type": "GetNode", + "pos": [ + -5020, + -3370 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 48, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 513 + ] + } + ], + "title": "Get_Pro Post", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Pro Post" + ], + "widgets_values_named": { + "Constant": "Pro Post" + }, + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": 2 + }, + { + "id": 3304, + "type": "Fast Groups Bypasser (rgthree)", + "pos": [ + -3960, + -2810 + ], + "size": [ + 270, + 60 + ], + "flags": { + "pinned": true + }, + "order": 49, + "mode": 0, + "inputs": [], + "outputs": [ + { + "label": "put here to save time", + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "title": "psst...over here 🤫", + "properties": { + "matchColors": "", + "matchTitle": "🔦", + "showNav": false, + "showAllGraphs": false, + "sort": "position", + "customSortAlphabet": "", + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "color": "#c3782d", + "bgcolor": "#af6419" + }, + { + "id": 3397, + "type": "Label (rgthree)", + "pos": [ + -6790, + -4050 + ], + "size": [ + 68.65234375, + 50 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 50, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "👉", + "properties": { + "fontSize": 50, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 2910, + "type": "LCNegative", + "pos": [ + -5980, + -4630 + ], + "size": [ + 360, + 130 + ], + "flags": { + "pinned": true + }, + "order": 51, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "negative", + "type": "STRING", + "links": [ + 43410 + ] + } + ], + "title": "Negative (for detailers)", + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCNegative", + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "bad anatomy, bad hands, watermark, ugly, distorted, censored, lowres, pixelated, distorted, jpeg artifacts, signature, (watermark), overexposed, underexposed, missing fingers, extra fingers, missing limbs, extra limbs, bad eyes, cloned face" + ], + "widgets_values_named": { + "negative": "bad anatomy, bad hands, watermark, ugly, distorted, censored, lowres, pixelated, distorted, jpeg artifacts, signature, (watermark), overexposed, underexposed, missing fingers, extra fingers, missing limbs, extra limbs, bad eyes, cloned face" + }, + "color": "#643232", + "bgcolor": "#643232" + }, + { + "id": 3395, + "type": "MarkdownNote", + "pos": [ + -5980, + -4460 + ], + "size": [ + 360, + 160 + ], + "flags": { + "pinned": true + }, + "order": 52, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Qwen Prompt 📝 notes", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "### Qwen Prompt 📝 notes\n\n*I have a love hate relationship with this node 🥰🤬*\n\n## ⚙️ settings:\n- if you used my last version, you will now see that the LLM prompts I had above are gone. That is because they are now built in.\n- **camera_tag:** Really meant for video, but does make a difference on angle\n- **style_tag:** This is where the LLM prompt is built in. Make adjustements here\n- **keep_model_loaded:** If you can afford to, leave it on. It saves a huge amount of time on the second pass. \n\n---\n\n---\n\n### Qwen Prompt 📝 笔记 \n*我和这个节点就是爱恨交织 🥰🤬*\n\n## ⚙️ 设置:\n- 如果你用过我上一版,会发现上面那些 LLM 提示词已经没了。因为它们现在已经内置进去了。\n- **camera_tag:** 其实是为视频准备的,但对角度还是会有影响\n- **style_tag:** LLM 提示词就内置在这里。可以在这里做调整\n- **keep_model_loaded:** 如果显存够用,建议开着。第二次生成能省下大量时间。" + ], + "widgets_values_named": { + "text": "### Qwen Prompt 📝 notes\n\n*I have a love hate relationship with this node 🥰🤬*\n\n## ⚙️ settings:\n- if you used my last version, you will now see that the LLM prompts I had above are gone. That is because they are now built in.\n- **camera_tag:** Really meant for video, but does make a difference on angle\n- **style_tag:** This is where the LLM prompt is built in. Make adjustements here\n- **keep_model_loaded:** If you can afford to, leave it on. It saves a huge amount of time on the second pass. \n\n---\n\n---\n\n### Qwen Prompt 📝 笔记 \n*我和这个节点就是爱恨交织 🥰🤬*\n\n## ⚙️ 设置:\n- 如果你用过我上一版,会发现上面那些 LLM 提示词已经没了。因为它们现在已经内置进去了。\n- **camera_tag:** 其实是为视频准备的,但对角度还是会有影响\n- **style_tag:** LLM 提示词就内置在这里。可以在这里做调整\n- **keep_model_loaded:** 如果显存够用,建议开着。第二次生成能省下大量时间。" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3113, + "type": "LC Bypasser Panel", + "pos": [ + -5540, + -4170 + ], + "size": [ + 310, + 198 + ], + "flags": { + "pinned": true + }, + "order": 283, + "mode": 0, + "inputs": [ + { + "name": "hub", + "type": "*", + "link": 44290 + } + ], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + true, + true, + true, + true + ], + "widgets_values_named": { + "Enable Sigma Scheduler Σ": true, + "Enable 🤡 ClownSamplerSelector": false, + "Enable Detail Daemon Sampler 😈": true, + "Enable LC Sigma Resample (High)": true, + "Enable LC Sigma Curve": true, + "Enable Notify 🔊": true + }, + "color": "#c3782d", + "bgcolor": "#af6419" + }, + { + "id": 3403, + "type": "LCSigmaResample", + "pos": [ + -5220, + -4170 + ], + "size": [ + 310, + 90 + ], + "flags": { + "pinned": true + }, + "order": 256, + "mode": 0, + "inputs": [ + { + "name": "sigmas", + "type": "SIGMAS", + "link": 46369 + } + ], + "outputs": [ + { + "name": "sigmas", + "type": "SIGMAS", + "links": [ + 46370, + 46613 + ] + } + ], + "title": "LC Sigma Resample (High)", + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "1eb6d6b520980b93afb047a10c1de0eee02cf67f", + "Node name for S&R": "LCSigmaResample", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + 1.25, + 2 + ], + "widgets_values_named": { + "multiplier": 1.25, + "adder": 2 + }, + "color": "#1c6d6d", + "bgcolor": "#1c6d6d" + }, + { + "id": 3226, + "type": "Bookmark (rgthree)", + "pos": [ + -5440, + -3450 + ], + "size": [ + 210, + 70 + ], + "flags": { + "collapsed": true + }, + "order": 53, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "🔖", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "4", + 0.5 + ], + "widgets_values_named": { + "shortcut_key": "4", + "zoom": 0.5 + } + }, + { + "id": 172, + "type": "Image Comparer (rgthree)", + "pos": [ + -5190, + -3330 + ], + "size": [ + 1160, + 1750 + ], + "flags": { + "pinned": true + }, + "order": 131, + "mode": 0, + "inputs": [ + { + "dir": 3, + "label": "Final Image", + "name": "image_a", + "type": "IMAGE", + "link": 513 + }, + { + "dir": 3, + "label": "Rough Draft", + "name": "image_b", + "type": "IMAGE", + "link": 514 + } + ], + "outputs": [ + { + "dir": 4, + "name": "images", + "shape": 3, + "type": "IMAGE", + "links": null 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There is waaaay too much packed in here for just on person to use, and there are nodes here that collect dust, but when I suddenly need them, I'm irritated that they are gone. \n\n---\n## My settings ⚙️\n- **I seldom prompt**. I'll run an image through Florence 📝, then let it go through Qwen 📝 and see what it looks like. I'll then cut & paste the final prompt and make edits.\n- I use **Beta Sine** and **Gaussian** almost exclusively\n- **I never turn sigmas off**. If I get a noisy image, I'll go back to base sigmas. \n- **🤡 Clownsampler**. Basically only when I want cinametic quality images. \n- **Sigma Resample**. It's a cool tweak. I have it sitting on the **high sampler** (structure), so it helps it. I move between **0.8 & 1.25** with an adder of 0 or 2. You can tweak more out of it, but I like set and forget. \n- **Sigma Curve** I always wanted one since I saw Sam Shark explain [what in the hell is a Sigma?](https://www.youtube.com/watch?v=egn5dKPdlCk), so I made one. Watch her video so you know just how frigging cool this is. \n\n---\n---\n\n## 💡Tips & Tricks\n\n我把这些东西做成可以拆开学的。这里塞的东西一个人根本用不满,有些节点会吃灰;可真到要用的时候,发现没了会很火大。\n\n---\n\n## 我的设置 ⚙️\n- **我很少自己写提示词。** 图先走 Florence 📝,再进 Qwen 📝 看结果,然后把最终提示词剪贴出来改。\n- 调度器几乎只用 **Beta Sine** 和 **Gaussian**。\n- **Sigma 我从不关。** 图噪了,就退回 Base Sigmas。\n- **🤡 Clownsampler** 基本只在想要电影感时才开。\n- **Sigma Resample** 是个好用的微调。我把它接在 **high 采样器**(结构段)上。multiplier 在 **0.8~1.25** 之间,adder 用 **0 或 2**。还能再抠,但我喜欢设好就不管。\n- **Sigma Curve** 自从看过 Sam Shark 讲 [what in the hell is a Sigma?](https://www.youtube.com/watch?v=egn5dKPdlCk) 就一直想要一个,所以自己做了。先看她的视频,才知道这有多离谱地好用。" + ], + "widgets_values_named": { + "text": "## 💡Tips & Tricks\n\nI build these things so that people can learn and take them apart. There is waaaay too much packed in here for just on person to use, and there are nodes here that collect dust, but when I suddenly need them, I'm irritated that they are gone. \n\n---\n## My settings ⚙️\n- **I seldom prompt**. I'll run an image through Florence 📝, then let it go through Qwen 📝 and see what it looks like. I'll then cut & paste the final prompt and make edits.\n- I use **Beta Sine** and **Gaussian** almost exclusively\n- **I never turn sigmas off**. If I get a noisy image, I'll go back to base sigmas. \n- **🤡 Clownsampler**. Basically only when I want cinametic quality images. \n- **Sigma Resample**. It's a cool tweak. I have it sitting on the **high sampler** (structure), so it helps it. I move between **0.8 & 1.25** with an adder of 0 or 2. You can tweak more out of it, but I like set and forget. \n- **Sigma Curve** I always wanted one since I saw Sam Shark explain [what in the hell is a Sigma?](https://www.youtube.com/watch?v=egn5dKPdlCk), so I made one. Watch her video so you know just how frigging cool this is. \n\n---\n---\n\n## 💡Tips & Tricks\n\n我把这些东西做成可以拆开学的。这里塞的东西一个人根本用不满,有些节点会吃灰;可真到要用的时候,发现没了会很火大。\n\n---\n\n## 我的设置 ⚙️\n- **我很少自己写提示词。** 图先走 Florence 📝,再进 Qwen 📝 看结果,然后把最终提示词剪贴出来改。\n- 调度器几乎只用 **Beta Sine** 和 **Gaussian**。\n- **Sigma 我从不关。** 图噪了,就退回 Base Sigmas。\n- **🤡 Clownsampler** 基本只在想要电影感时才开。\n- **Sigma Resample** 是个好用的微调。我把它接在 **high 采样器**(结构段)上。multiplier 在 **0.8~1.25** 之间,adder 用 **0 或 2**。还能再抠,但我喜欢设好就不管。\n- **Sigma Curve** 自从看过 Sam Shark 讲 [what in the hell is a Sigma?](https://www.youtube.com/watch?v=egn5dKPdlCk) 就一直想要一个,所以自己做了。先看她的视频,才知道这有多离谱地好用。" + }, + "color": "#74623d", + "bgcolor": "#604e29" + }, + { + "id": 3409, + "type": "LCBatchImageComparer", + "pos": [ + -1400, + -3020 + ], + "size": [ + 490, + 680 + ], + "flags": { + "pinned": true + }, + "order": 264, + "mode": 0, + "inputs": [ + { + "label": "Before", + "name": "image_a", + "shape": 7, + "type": "IMAGE", + "link": 46620 + }, + { + "label": "Klein_9b", + "name": "image_b", + "shape": 7, + "type": "IMAGE", + "link": 46621 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "3de0fb9f45038e247032de96875a8a8bc1a4257b", + "Node name for S&R": "LCBatchImageComparer", + "comparer_mode": "Slide", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#325A5A", + "bgcolor": "#325A5A" + }, + { + "id": 3410, + "type": "LCToneMatch", + "pos": [ + -1720, + -2970 + ], + "size": [ + 300, + 560 + ], + "flags": { + "pinned": true + }, + "order": 258, + "mode": 4, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 46622 + }, + { + "name": "reference", + "type": "IMAGE", + "link": 46623 + }, + { + "name": "mask", + "shape": 7, + "type": "MASK", + "link": null + } + ], + "outputs": [ + { + "name": "image", + "type": "IMAGE", + "links": [ + 46621, + 46653 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "3de0fb9f45038e247032de96875a8a8bc1a4257b", + "Node name for S&R": "LCToneMatch", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "lc_preview_meta": [ + { + "filename": "lc_after_temp_gdkln_00026_.png", + "subfolder": "", + "type": "temp" + } + ], + "lc_before_meta": [ + { + "filename": "lc_before_temp_gdkln_00026_.png", + "subfolder": "", + "type": "temp" + } + ] + }, + "widgets_values": [ + 0.5, + 0.55, + 36, + 0.5 + ], + "widgets_values_named": { + "tone_match": 0.5, + "refinement_strength": 0.55, + "detail_radius": 36, + "skin_protect": 0.5 + }, + "color": "#324B4B", + "bgcolor": "#324B4B" + }, + { + "id": 3411, + "type": "UNETLoader", + "pos": [ + -2390, + -2980 + ], + "size": [ + 350, + 90 + ], + "flags": { + "pinned": true + }, + "order": 59, + "mode": 4, + "inputs": [ + { + "label": "unet_name", + "name": "unet_name", + "type": "COMBO", + "widget": { + "name": "unet_name" + }, + "link": null + }, + { + "label": "weight_dtype", + "name": "weight_dtype", + "type": "COMBO", + "widget": { + "name": "weight_dtype" + }, + "link": null + } + ], + "outputs": [ + { + "label": "MODEL", + "name": "MODEL", + "type": "MODEL", + "links": [ + 46649 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.8.2", + "Node name for S&R": "UNETLoader", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + }, + "hasSecondTab": false, + "models": [ + { + "name": "flux-2-klein-4b.safetensors", + "directory": "diffusion_models", + "url": "https://huggingface.co/Comfy-Org/flux2-klein-4B/resolve/main/split_files/diffusion_models/flux-2-klein-4b.safetensors" + } + ], + "secondTabOffset": 80, + "tabWidth": 65, + "secondTabWidth": 65, + "widget_ue_connectable": {}, + "secondTabText": "Send Back", + "enableTabs": false, + "tabXOffset": 10 + }, + "widgets_values": [ + "Flux2\\flux-2-klein-9b.safetensors", + "default" + ], + "widgets_values_named": { + "unet_name": "Flux2\\flux-2-klein-9b.safetensors", + "weight_dtype": "default" + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 3412, + "type": "LCPositive", + "pos": [ + -2020, + -2970 + ], + "size": [ + 280, + 160 + ], + "flags": { + "pinned": true + }, + "order": 60, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "positive", + "type": "STRING", + "links": [ + 46628 + ] + } + ], + "title": "Prompt", + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "3de0fb9f45038e247032de96875a8a8bc1a4257b", + "Node name for S&R": "LCPositive", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "High resolution photograph of image. 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I typically generate the entire image and make adjustments with the detailer prompt\n- **detailer prompt:** \"green eyes\", \"ring on finger\", nose piercing\", \"red lipstick\".\n- **feather** 8-12\n- **denoise** set lower than what you are used to for other detailers. 0.3 -0.5\n- **blend strength** this is how much overlay or blend it has with the original image. Lower values mean less inpainted image. *💡 change this with denoise (make one higher while lowering the other) to get better results.* \n\n\n\n\n\n### Sam3 nodes\n\n- **prompt:** \"face\", \"eyes\", \"woman face\", \"scarf\", etc.\n- text_threshold: 0.25–0.35 (lower = more sensitive).\n- min_mask_area: 0.001 (lower for tiny/distant objects).\n- crop_padding: 64–128 pixels.\n- mask_dilation: 6–10 (thickens mask to avoid holes).\n- inpaint_resolution: 768+ (higher = better detail).\n- denoise: 0.4–0.6 (subtle changes).\n- blend_mode: \"feather\" (smooth edges).\n- 💡**For small faces:** Lower min_mask_area/text_threshold, increase padding/resolution.\n\n---\n\n\n### 使用说明:\n- 你可以加载 LoRA,但**我很少使用**。我通常先生成整张图像,然后用 detailer prompt 进行细节调整。\n- **detailer prompt 示例**:\"green eyes\", \"ring on finger\", \"nose piercing\", \"red lipstick\"。\n\n- **feather** 8-12 \n- **denoise** 设置比你平时在其他 detailer 中使用的值更低。0.3 - 0.5 \n- **blend strength** 0.75 - 1.0 \n 这是与原始图像的叠加或混合程度。数值越低,修复后的图像占比越小。 \n *💡 将此参数与 denoise 配合调整(一个调高、另一个调低)可获得更好的效果。*\n\n\n\n\n### SAM3 SmartInpainter 节点\n- **prompt**: \"face\", \"eyes\", \"woman face\", \"scarf\" 等。\n- **text_threshold**:0.25–0.35(数值越低越敏感)。\n- **min_mask_area**:0.001(对微小或远处物体可调低)。\n- **crop_padding**:64–128 像素。\n- **mask_dilation**:6–10(加厚遮罩,防止出现空洞)。\n- **inpaint_resolution**:768 以上(越高细节越好)。\n- **denoise**:0.4–0.6(数值越低调整越细微)。\n- **blend_mode**:\"feather\"(羽化边缘,过渡自然)。\n\n- 💡**处理小脸/远距离人脸**:降低 `min_mask_area` 和 `text_threshold`,增加 `crop_padding` 和 `inpaint_resolution`。\n\n\n\n\n" + ], + "widgets_values_named": { + "text": "### Instructions:\n- You can use a LoRA if you want, butI rearly do. I typically generate the entire image and make adjustments with the detailer prompt\n- **detailer prompt:** \"green eyes\", \"ring on finger\", nose piercing\", \"red lipstick\".\n- **feather** 8-12\n- **denoise** set lower than what you are used to for other detailers. 0.3 -0.5\n- **blend strength** this is how much overlay or blend it has with the original image. Lower values mean less inpainted image. *💡 change this with denoise (make one higher while lowering the other) to get better results.* \n\n\n\n\n\n### Sam3 nodes\n\n- **prompt:** \"face\", \"eyes\", \"woman face\", \"scarf\", etc.\n- text_threshold: 0.25–0.35 (lower = more sensitive).\n- min_mask_area: 0.001 (lower for tiny/distant objects).\n- crop_padding: 64–128 pixels.\n- mask_dilation: 6–10 (thickens mask to avoid holes).\n- inpaint_resolution: 768+ (higher = better detail).\n- denoise: 0.4–0.6 (subtle changes).\n- blend_mode: \"feather\" (smooth edges).\n- 💡**For small faces:** Lower min_mask_area/text_threshold, increase padding/resolution.\n\n---\n\n\n### 使用说明:\n- 你可以加载 LoRA,但**我很少使用**。我通常先生成整张图像,然后用 detailer prompt 进行细节调整。\n- **detailer prompt 示例**:\"green eyes\", \"ring on finger\", \"nose piercing\", \"red lipstick\"。\n\n- **feather** 8-12 \n- **denoise** 设置比你平时在其他 detailer 中使用的值更低。0.3 - 0.5 \n- **blend strength** 0.75 - 1.0 \n 这是与原始图像的叠加或混合程度。数值越低,修复后的图像占比越小。 \n *💡 将此参数与 denoise 配合调整(一个调高、另一个调低)可获得更好的效果。*\n\n\n\n\n### SAM3 SmartInpainter 节点\n- **prompt**: \"face\", \"eyes\", \"woman face\", \"scarf\" 等。\n- **text_threshold**:0.25–0.35(数值越低越敏感)。\n- **min_mask_area**:0.001(对微小或远处物体可调低)。\n- **crop_padding**:64–128 像素。\n- **mask_dilation**:6–10(加厚遮罩,防止出现空洞)。\n- **inpaint_resolution**:768 以上(越高细节越好)。\n- **denoise**:0.4–0.6(数值越低调整越细微)。\n- **blend_mode**:\"feather\"(羽化边缘,过渡自然)。\n\n- 💡**处理小脸/远距离人脸**:降低 `min_mask_area` 和 `text_threshold`,增加 `crop_padding` 和 `inpaint_resolution`。\n\n\n\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3452, + "type": "CLIPTextEncode", + "pos": [ + -2440, + -3550 + ], + "size": [ + 260, + 130 + ], + "flags": { + "collapsed": false, + "pinned": true + }, + "order": 189, + "mode": 4, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 46728 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 46726 + ] + } + ], + "title": "Detailer Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.22.0", + "Node name for S&R": "CLIPTextEncode", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "Realistic skin, detailed realistic eyes" + ], + "widgets_values_named": { + "text": "Realistic skin, detailed realistic eyes" + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 3298, + "type": "GetNode", + "pos": [ + -3950, + -2980 + ], + "size": [ + 210, + 50 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 75, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 45828, + 45831, + 45837, + 45840, + 45843, + 45846 + ] + } + ], + "title": "Get_detail image", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "detail image" + ], + "widgets_values_named": { + "Constant": "detail image" + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 3440, + "type": "Power Lora Loader (rgthree)", + "pos": [ + -3180, + -4060 + ], + "size": [ + 340, + 180 + ], + "flags": { + "pinned": true + }, + "order": 165, + "mode": 0, + "inputs": [ + { + "dir": 3, + "name": "model", + "type": "MODEL", + "link": 46717 + }, + { + "dir": 3, + "name": "clip", + "type": "CLIP", + "link": 46718 + } + ], + "outputs": [ + { + "dir": 4, + "name": "MODEL", + "shape": 3, + "type": "MODEL", + "links": [ + 46723 + ] + }, + { + "dir": 4, + "name": "CLIP", + "shape": 3, + "type": "CLIP", + "links": [ + 46705, + 46728 + ] + } + ], + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "2c5342a8cb0eaecaabf61435a5f37dd594c510ba", + "Show Strengths": "Single Strength", + "Match": "", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + {}, + { + "type": "PowerLoraLoaderHeaderWidget" + }, + {}, + "" + ], + "widgets_values_named": { + "divider": {}, + "PowerLoraLoaderHeaderWidget": { + "type": "PowerLoraLoaderHeaderWidget" + }, + "➕ Add Lora": "" + }, + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 3453, + "type": "MarkdownNote", + "pos": [ + -2410, + -830 + ], + "size": [ + 300, + 160 + ], + "flags": { + "pinned": true + }, + "order": 76, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "**LC Notify 🔊**\n- hook to any node outlet.\n- plays a selected sound upon completion\n- select from a list of preloaded sounds or place your own in the folder shown below\n\n\n\n```\n📂 ComfyUI/\n│── 📂 custom_nodes\n│ ├── 📂 ComfyUI_LC123_nodes\n│ │ └── 📂 assets\n│ │ └──📂 sounds\n│ │ └── any .mp3 sound\n```" + ], + "widgets_values_named": { + "text": "**LC Notify 🔊**\n- hook to any node outlet.\n- plays a selected sound upon completion\n- select from a list of preloaded sounds or place your own in the folder shown below\n\n\n\n```\n📂 ComfyUI/\n│── 📂 custom_nodes\n│ ├── 📂 ComfyUI_LC123_nodes\n│ │ └── 📂 assets\n│ │ └──📂 sounds\n│ │ └── any .mp3 sound\n```" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3454, + "type": "LC Bypasser Panel", + "pos": [ + -2100, + -1010 + ], + "size": [ + 340, + 342 + ], + "flags": { + "pinned": true + }, + "order": 284, + "mode": 0, + "inputs": [ + { + "name": "hub", + "type": "*", + "link": 46729 + } + ], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "properties": { + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + true, + false, + false, + false, + true, + true, + true, + false, + false, + true, + true, + true + ], + "widgets_values_named": { + "Enable LC Image Denoise": true, + "Enable Color Match to Original 🖼️": false, + "Enable LC Auto White Balance": false, + "Enable LC Vibrance": false, + "Enable LC Sharpen Pro": true, + "Enable LC Skin Beauty ✨": true, + "Enable LC Image Adjust": true, + "Enable LC Lens Effects": false, + "Enable LC Lens Profile": false, + "Enable LC Apply LUT": true, + "Enable LC Image Crop 🖼️🔪": true, + "Enable Notify 🔊": true + }, + "color": "#aa782d", + "bgcolor": "#966419" + }, + { + "id": 3455, + "type": "LCImageCrop", + "pos": [ + -2720, + -1100 + ], + "size": [ + 300, + 430 + ], + "flags": { + "pinned": true + }, + "order": 272, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 46730 + } + ], + "outputs": [ + { + "name": "image", + "type": "IMAGE", + "links": [ + 46731, + 46733, + 46745, + 46757 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "4ac98869e5f9ef0a5382ec86d105271257c09267", + "Node name for S&R": "LCImageCrop", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "aux_id": "lonecatone23/ComfyUI_LC123_nodes" + }, + "widgets_values": [ + 0, + 0, + 100, + 100, + "free" + ], + "widgets_values_named": { + "x": 0, + "y": 0, + "width": 100, + "height": 100, + "aspect": "free" + }, + "color": "#324B4B", + "bgcolor": "#324B4B" + }, + { + "id": 3456, + "type": "LCNotify", + "pos": [ + -2410, + -1000 + ], + "size": [ + 300, + 130 + ], + "flags": { + "pinned": true + }, + "order": 276, + "mode": 0, + "inputs": [ + { + "name": "any", + "shape": 7, + "type": "*", + "link": 46731 + } + ], + "outputs": [ + { + "name": "any", + "type": "*", + "links": [ + 46746 + ] + } + ], + "title": "Notify 🔊", + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "5832ec12d24dc0e316809e990ca4bb50852e4b72", + "Node name for S&R": "LCNotify", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "always", + 1, + "hey-yall-female-voice.mp3", + null + ], + "widgets_values_named": { + "mode": "always", + "volume": 1, + "file": "hey-yall-female-voice.mp3", + "▶ preview": null + }, + "color": "#649632", + "bgcolor": "#649632" + }, + { + "id": 3457, + "type": "LCApplyLUT", + "pos": [ + -3030, + -1170 + ], + "size": [ + 300, + 500 + ], + "flags": { + "pinned": true + }, + "order": 270, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 46732 + } + ], + "outputs": [ + { + "name": "image", + "type": "IMAGE", + "links": [ + 46730, + 46744 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "fd45171f9af29d6bb018d9bbf35524262c62b66c", + "Node name for S&R": "LCApplyLUT", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "lc_preview_meta": [ + { + "filename": "lc_after_temp_opcxd_00002_.png", + "subfolder": "", + "type": "temp" + } + ], + "lc_before_meta": [ + { + "filename": "lc_before_temp_opcxd_00002_.png", + "subfolder": "", + "type": "temp" + } + ] + }, + "widgets_values": [ + "LC Highlights_Protection.cube", + 0.3, + true + ], + "widgets_values_named": { + "lut_name": "LC Highlights_Protection.cube", + "strength": 0.3, + "log": true + }, + "color": "#324B4B", + "bgcolor": "#324B4B" + }, + { + "id": 3458, + "type": "LCGetImage", + "pos": [ + -2410, + -1170 + ], + "size": [ + 300, + 130 + ], + "flags": { + "pinned": true + }, + "order": 277, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 46733 + } + ], + "outputs": [ + { + "name": "megapixels", + "type": "FLOAT", + "links": null + }, + { + "name": "width", + "type": "INT", + "links": null + }, + { + "name": "height", + "type": "INT", + "links": null + }, + { + "name": "resolution", + "type": "INT", + "links": null + }, + { + "name": "batch", + "type": "INT", + "links": null + }, + { + "name": "aspect ratio", + "type": "STRING", + "links": null + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "4ac98869e5f9ef0a5382ec86d105271257c09267", + "Node name for S&R": "LCGetImage", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "aux_id": "lonecatone23/ComfyUI_LC123_nodes" + }, + "color": "#324b4b", + "bgcolor": "#324b4b" + }, + { + "id": 3459, + "type": "MarkdownNote", + "pos": [ + -2100, + -1710 + ], + "size": [ + 340, + 660 + ], + "flags": { + "pinned": true + }, + "order": 77, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "🎨 Post Processing Notes", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Instructions\n\n# 🛑🚫✋ I HIGHLY suggest that you fix the seed, run the pic, then don’t mess with anything before this so it doesn’t reprocess.\n\n## VRAM issues. See LC123 Performance Settings ⚙️ Note.\n\n### Node order (follow the chain top → bottom)\n\n**Smart Denoise (LCImageDenoise)**\n- Removes noise while trying to keep detail\n- Sigma: higher = smoother, lower = more detail\n- Threshold: how aggressive the denoise is\n- Radius Multiplier: higher for noisy images, lower for clean ones \n💡 Start gentle. Only raise values if the image is actually noisy.\n\n**Color Match (LCColorMatch)**\n- Matches colors to a reference image (usually Image 2)\n- Method: **adain** is the most common and stable\n- Strength: 0–1\n- **Skin protect:** reduces how hard the match hits skin regions (keep faces from shifting hue oddly) \n💡 Great for series consistency. No reference → node can bypass / pass through without erroring.\n\n\n**Lift / Gamma / Gain (LCLiftGammaGain)**\n- Classic three-way color corrector\n- Lift = shadows · Gamma = midtones · Gain = highlights \n💡 This is where most “film look” color work happens.\n\n**Auto White Balance (LCAutoWhiteBalance)**\n- Tries to neutralize overall color cast\n- Method: “Shades of Gray” is usually safest \n💡 Effect is subtle — compare before/after.\n\n**Vibrance (LCVibrance)**\n- Boosts muted colors without destroying already-saturated areas\n- Kinder to skin than normal saturation\n- Vibrance + Saturation + Strength \n💡 Prefer this over regular saturation for portraits.\n\n**Sharpen Pro (LCSharpenPro)**\n- **Photorealism-first** mid-tone clarity + edge sharpen (not “ink outline” by default)\n- **Clarity** = local structure · **Sharpen** = finer edge detail · **Strength** = overall mix vs original\n- **Halo** + auto-raise when sharpen is high · **Skin protect** for faces\n- Advanced: radius, blend mode, shadow / highlight protect\n- **Presets fill the sliders** (moving a slider → **Custom**):\n - **Realism:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **Art:** Lineart · Anime sharp \n💡 Start **Natural** or **Portrait** for influencers / NSFW realism. Raise clarity before sharpen. Use **Lineart / Anime sharp** only when you want deliberate edge punch.\n\n**Image Adjust (LCImageAdjust)**\n- Brightness, Contrast, Saturation, Sharpness, Blur\n- Brightness center = 0\n- Contrast & Saturation center = 1\n\n**LC Skin Beauty ✨**\n- See Skin Beauty ✨ markdown Note\n\n**Lens FX (LCLensFX)**\n- General lens distortion and optical effects \n💡 Pair with the next node for more realistic camera simulation.\n\n**Lens Profile (LCLensProfile)**\n- Applies real lens characteristics (e.g. Canon 50mm f/1.8)\n- Optional aberrations \n💡 Adds subtle optical imperfections that make AI images feel more photographic.\n\n\n**Apply LUT (LCApplyLUT)**\n- Applies a 3D LUT (`.cube` file)\n- Strength 0–1 · Log option for certain LUTs\n\n**Image Crop (LCImageCrop)**\n- Inline crop tool\n- X / Y / Width / Height or free mode \n💡 Crop after all effects so you don’t lose edge treatments (vignette, bloom, etc.).\n\n---\n\n## 使用说明\n\n# 🛑🚫✋ 强烈建议你先固定 seed,跑完图片,然后不要再动之前的任何设置,以免重新处理。\n\n## 显存(VRAM)相关问题。请参阅 LC123 Performance Settings ⚙️(性能设置说明)。\n\n### 节点顺序(按链条从上到下)\n\n**智能降噪 (LCImageDenoise)**\n- 在尽量保留细节的同时去除噪点\n- Sigma:数值高更平滑,低则保留更多细节\n- Threshold:控制降噪强度\n- Radius Multiplier:噪点多的图用高值,干净的图用低值 \n💡 从低数值开始。只有真正很噪的时候才提高。\n\n**颜色匹配 (LCColorMatch)**\n- 让当前图匹配参考图(通常是 Image 2)的色调\n- 方法:**adain** 最常用也最稳定\n- 强度:0–1\n- **皮肤保护 (Skin protect):** 减轻匹配对皮肤区域的力度,避免脸部色相被“拉偏” \n💡 做系列图统一肤色或情绪时很好用。没有参考图时可旁路/直通,不会报错。\n\n\n**自动白平衡 (LCAutoWhiteBalance)**\n- 尝试中和整体色偏\n- 方法:“Shades of Gray” 通常最稳妥 \n💡 效果比较细微,记得对比前后。\n\n**自然饱和度 (LCVibrance)**\n- 提升不饱和颜色,对已经很艳的颜色和肤色更友好\n- 自然饱和度 + 饱和度 + 强度 \n💡 人像优先用这个,而不是普通饱和度。\n\n\n**锐化专业版 (LCSharpenPro)**\n- **以真实感优先**的中调清晰度 + 边缘锐化(默认不是“描边/线稿感”)\n- **Clarity** = 局部结构 · **Sharpen** = 更细的边缘 · **Strength** = 与原图的混合比例\n- **Halo**,且锐化较高时会自动抬高 · **Skin protect** 保护脸部\n- 高级:半径、混合模式、阴影/高光保护\n- **预设会填充滑条**(一动滑条就变成 **Custom**):\n - **写实:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **艺术:** Lineart · Anime sharp \n💡 网红/写实/NSFW 先用 **Natural** 或 **Portrait**,先加 clarity 再加 sharpen。只有需要明显线感时才用 **Lineart / Anime sharp**。\n\n**图像调整 (LCImageAdjust)**\n- 亮度、对比度、饱和度、锐度、模糊\n- 亮度中心 = 0\n- 对比度与饱和度中心 = 1\n\n**LC Skin Beauty ✨**\n- 详见 Skin Beauty ✨ 的 Markdown 说明文档\n\n**镜头特效 (LCLensFX)**\n- 通用镜头畸变和光学效果 \n💡 和下一个节点一起用,模拟更真实的相机光学。\n\n**镜头配置文件 (LCLensProfile)**\n- 应用真实镜头特性(例如 Canon 50mm f/1.8)\n- 可选色差 \n💡 给 AI 图加一点真实光学瑕疵,照片感会强很多。\n\n**去饱和 (LCImageDesaturate)**\n- 部分或完全去饱和\n- 多种方法可选(luminance Rec.709 较常用) \n💡 在套 LUT 之前用,可以做出更柔和的基础色。\n\n**应用 LUT (LCApplyLUT)**\n- 套用 3D LUT(`.cube` 文件)\n- 强度 0–1 · Log 选项(部分 LUT 需要)\n- **不会从网上自动下载 LUT。** \n\n**裁剪 (LCImageCrop)**\n- 内联裁剪工具\n- X / Y / 宽 / 高 或 free 模式 \n💡 所有效果做完再裁,才不会丢掉边缘处理(暗角、光晕等)。\n" + ], + "widgets_values_named": { + "text": "## Instructions\n\n# 🛑🚫✋ I HIGHLY suggest that you fix the seed, run the pic, then don’t mess with anything before this so it doesn’t reprocess.\n\n## VRAM issues. See LC123 Performance Settings ⚙️ Note.\n\n### Node order (follow the chain top → bottom)\n\n**Smart Denoise (LCImageDenoise)**\n- Removes noise while trying to keep detail\n- Sigma: higher = smoother, lower = more detail\n- Threshold: how aggressive the denoise is\n- Radius Multiplier: higher for noisy images, lower for clean ones \n💡 Start gentle. Only raise values if the image is actually noisy.\n\n**Color Match (LCColorMatch)**\n- Matches colors to a reference image (usually Image 2)\n- Method: **adain** is the most common and stable\n- Strength: 0–1\n- **Skin protect:** reduces how hard the match hits skin regions (keep faces from shifting hue oddly) \n💡 Great for series consistency. No reference → node can bypass / pass through without erroring.\n\n\n**Lift / Gamma / Gain (LCLiftGammaGain)**\n- Classic three-way color corrector\n- Lift = shadows · Gamma = midtones · Gain = highlights \n💡 This is where most “film look” color work happens.\n\n**Auto White Balance (LCAutoWhiteBalance)**\n- Tries to neutralize overall color cast\n- Method: “Shades of Gray” is usually safest \n💡 Effect is subtle — compare before/after.\n\n**Vibrance (LCVibrance)**\n- Boosts muted colors without destroying already-saturated areas\n- Kinder to skin than normal saturation\n- Vibrance + Saturation + Strength \n💡 Prefer this over regular saturation for portraits.\n\n**Sharpen Pro (LCSharpenPro)**\n- **Photorealism-first** mid-tone clarity + edge sharpen (not “ink outline” by default)\n- **Clarity** = local structure · **Sharpen** = finer edge detail · **Strength** = overall mix vs original\n- **Halo** + auto-raise when sharpen is high · **Skin protect** for faces\n- Advanced: radius, blend mode, shadow / highlight protect\n- **Presets fill the sliders** (moving a slider → **Custom**):\n - **Realism:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **Art:** Lineart · Anime sharp \n💡 Start **Natural** or **Portrait** for influencers / NSFW realism. Raise clarity before sharpen. Use **Lineart / Anime sharp** only when you want deliberate edge punch.\n\n**Image Adjust (LCImageAdjust)**\n- Brightness, Contrast, Saturation, Sharpness, Blur\n- Brightness center = 0\n- Contrast & Saturation center = 1\n\n**LC Skin Beauty ✨**\n- See Skin Beauty ✨ markdown Note\n\n**Lens FX (LCLensFX)**\n- General lens distortion and optical effects \n💡 Pair with the next node for more realistic camera simulation.\n\n**Lens Profile (LCLensProfile)**\n- Applies real lens characteristics (e.g. Canon 50mm f/1.8)\n- Optional aberrations \n💡 Adds subtle optical imperfections that make AI images feel more photographic.\n\n\n**Apply LUT (LCApplyLUT)**\n- Applies a 3D LUT (`.cube` file)\n- Strength 0–1 · Log option for certain LUTs\n\n**Image Crop (LCImageCrop)**\n- Inline crop tool\n- X / Y / Width / Height or free mode \n💡 Crop after all effects so you don’t lose edge treatments (vignette, bloom, etc.).\n\n---\n\n## 使用说明\n\n# 🛑🚫✋ 强烈建议你先固定 seed,跑完图片,然后不要再动之前的任何设置,以免重新处理。\n\n## 显存(VRAM)相关问题。请参阅 LC123 Performance Settings ⚙️(性能设置说明)。\n\n### 节点顺序(按链条从上到下)\n\n**智能降噪 (LCImageDenoise)**\n- 在尽量保留细节的同时去除噪点\n- Sigma:数值高更平滑,低则保留更多细节\n- Threshold:控制降噪强度\n- Radius Multiplier:噪点多的图用高值,干净的图用低值 \n💡 从低数值开始。只有真正很噪的时候才提高。\n\n**颜色匹配 (LCColorMatch)**\n- 让当前图匹配参考图(通常是 Image 2)的色调\n- 方法:**adain** 最常用也最稳定\n- 强度:0–1\n- **皮肤保护 (Skin protect):** 减轻匹配对皮肤区域的力度,避免脸部色相被“拉偏” \n💡 做系列图统一肤色或情绪时很好用。没有参考图时可旁路/直通,不会报错。\n\n\n**自动白平衡 (LCAutoWhiteBalance)**\n- 尝试中和整体色偏\n- 方法:“Shades of Gray” 通常最稳妥 \n💡 效果比较细微,记得对比前后。\n\n**自然饱和度 (LCVibrance)**\n- 提升不饱和颜色,对已经很艳的颜色和肤色更友好\n- 自然饱和度 + 饱和度 + 强度 \n💡 人像优先用这个,而不是普通饱和度。\n\n\n**锐化专业版 (LCSharpenPro)**\n- **以真实感优先**的中调清晰度 + 边缘锐化(默认不是“描边/线稿感”)\n- **Clarity** = 局部结构 · **Sharpen** = 更细的边缘 · **Strength** = 与原图的混合比例\n- **Halo**,且锐化较高时会自动抬高 · **Skin protect** 保护脸部\n- 高级:半径、混合模式、阴影/高光保护\n- **预设会填充滑条**(一动滑条就变成 **Custom**):\n - **写实:** Natural · Subtle · Portrait · Product · Landscape · Crisp \n - **艺术:** Lineart · Anime sharp \n💡 网红/写实/NSFW 先用 **Natural** 或 **Portrait**,先加 clarity 再加 sharpen。只有需要明显线感时才用 **Lineart / Anime sharp**。\n\n**图像调整 (LCImageAdjust)**\n- 亮度、对比度、饱和度、锐度、模糊\n- 亮度中心 = 0\n- 对比度与饱和度中心 = 1\n\n**LC Skin Beauty ✨**\n- 详见 Skin Beauty ✨ 的 Markdown 说明文档\n\n**镜头特效 (LCLensFX)**\n- 通用镜头畸变和光学效果 \n💡 和下一个节点一起用,模拟更真实的相机光学。\n\n**镜头配置文件 (LCLensProfile)**\n- 应用真实镜头特性(例如 Canon 50mm f/1.8)\n- 可选色差 \n💡 给 AI 图加一点真实光学瑕疵,照片感会强很多。\n\n**去饱和 (LCImageDesaturate)**\n- 部分或完全去饱和\n- 多种方法可选(luminance Rec.709 较常用) \n💡 在套 LUT 之前用,可以做出更柔和的基础色。\n\n**应用 LUT (LCApplyLUT)**\n- 套用 3D LUT(`.cube` 文件)\n- 强度 0–1 · Log 选项(部分 LUT 需要)\n- **不会从网上自动下载 LUT。** \n\n**裁剪 (LCImageCrop)**\n- 内联裁剪工具\n- X / Y / 宽 / 高 或 free 模式 \n💡 所有效果做完再裁,才不会丢掉边缘处理(暗角、光晕等)。\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3460, + "type": "LCLensProfile", + "pos": [ + -3340, + -1160 + ], + "size": [ + 300, + 490 + ], + "flags": { + "pinned": true + }, + "order": 267, + "mode": 4, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 46734 + } + ], + "outputs": [ + { 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Works in **CIELAB** under an auto (or external) skin mask so backgrounds and most clothing stay out of the grade.\n\n---\n\n## Highlights\n\n- **Skin-first, not whole-frame bleach** — correction follows a skin probability mask \n- **Presets that load the sliders** — pick a starting look, then fine-tune what you see \n- **Eyes & lips protected** — auto mask soft-excludes dark eyes and strong lip red \n- **Fabric-aware auto mask** — high local pattern variance is suppressed (prints/weaves) \n- **Highlight & texture controls** — keep specular and pores from going plastic \n- **Optional external MASK** — best quality when you already have a face/skin matte \n- **On-node before/after wipe** — same LC image-FX preview style \n- **Outputs** — graded `image` + `skin_mask` (inspect or reuse downstream)\n\n---\n\n## Features\n\n| Control | What it does |\n|--------|----------------|\n| **preset** | Starting point (Natural, Light, Fresh, Porcelain, Warm keep, Custom). Loads slider values; then sliders are source of truth. |\n| **strength** | How much of the effect to apply (0 = original, 1 = full, >1 = stronger). |\n| **coolness** | Less yellow / cooler skin (LAB b*). |\n| **brightness** | Overall skin lift (whitening), softened on highlights. |\n| **rosy** | Pink/red flush (LAB a*). Negative = less red. |\n| **evenness** | Local color evening under the mask. |\n| **shadow_lift** | Extra lift in dark skin regions. |\n| **smooth** | Mild softening under the mask. |\n| **texture_preserve** | Caps how much smooth can flatten pores. |\n| **saturation** | Skin chroma under the mask (negative = quieter). |\n| **highlight_protect** | Reduce effect on bright specular skin. |\n| **mask_sensitivity** | Auto mask inclusiveness. |\n| **mask_feather** | Softness of mask edges. |\n| **mask** (optional) | External skin matte; blended with auto for precision. |\n\n---\n\n## Getting the most out of it\n\n| Goal | Suggested approach |\n|------|---------------------|\n| **Natural cleanup** | Preset **Natural**, strength **0.7–1.0**. Leave other sliders as loaded. |\n| **Subtle only** | **Light**, strength **0.5–0.8**. |\n| **Clearer / cooler** | **Fresh** or raise **coolness** slightly; keep **highlight_protect** high. |\n| **Strong studio look** | **Porcelain**, strength **≤1.0**; raise **texture_preserve** if it goes plastic. |\n| **Keep warmth** | **Warm keep**, or lower **coolness** and raise **rosy** a little. |\n| **Less eye/lip change** | Already protected in auto mask; if needed, lower **strength** or use an external mask that excludes eyes/mouth. |\n| **Prints still pick up** | Lower **mask_sensitivity**; inspect **skin_mask** output; or feed a real skin **MASK**. |\n| **Hands / body too weak** | Raise **mask_sensitivity** slightly, or paint/segment those areas into **mask**. |\n| **Plastic skin** | Lower **smooth**, raise **texture_preserve**, ease **evenness**. |\n| **Flat highlights** | Raise **highlight_protect**; ease **brightness**. |\n| **Quality check** | Preview **skin_mask** — white = affected, black = left alone. |\n\n---\n\n## Quick workflow\n\n1. Image → **LC Skin Beauty ✨** \n2. Choose a **preset** (sliders update) \n3. Queue once; use the **wipe** to compare \n4. Adjust **strength** first, then one or two sliders \n5. Optional: view **skin_mask**; optional: wire an external **MASK** \n\n---\n\n## Honest limits\n\nAuto mask is **color + structure heuristics**, not a person segmenter. Ornate fabrics and warm bokeh can still leak a little. For critical work, pair with **SAM / face-parse / hand mask** on the **mask** input.\n\n---" + ], + "widgets_values_named": { + "text": "# LC Skin Beauty ✨\n\nMask-aware skin cooling and brightening for ComfyUI (LC123). Works in **CIELAB** under an auto (or external) skin mask so backgrounds and most clothing stay out of the grade.\n\n---\n\n## Highlights\n\n- **Skin-first, not whole-frame bleach** — correction follows a skin probability mask \n- **Presets that load the sliders** — pick a starting look, then fine-tune what you see \n- **Eyes & lips protected** — auto mask soft-excludes dark eyes and strong lip red \n- **Fabric-aware auto mask** — high local pattern variance is suppressed (prints/weaves) \n- **Highlight & texture controls** — keep specular and pores from going plastic \n- **Optional external MASK** — best quality when you already have a face/skin matte \n- **On-node before/after wipe** — same LC image-FX preview style \n- **Outputs** — graded `image` + `skin_mask` (inspect or reuse downstream)\n\n---\n\n## Features\n\n| Control | What it does |\n|--------|----------------|\n| **preset** | Starting point (Natural, Light, Fresh, Porcelain, Warm keep, Custom). Loads slider values; then sliders are source of truth. |\n| **strength** | How much of the effect to apply (0 = original, 1 = full, >1 = stronger). |\n| **coolness** | Less yellow / cooler skin (LAB b*). |\n| **brightness** | Overall skin lift (whitening), softened on highlights. |\n| **rosy** | Pink/red flush (LAB a*). Negative = less red. |\n| **evenness** | Local color evening under the mask. |\n| **shadow_lift** | Extra lift in dark skin regions. |\n| **smooth** | Mild softening under the mask. |\n| **texture_preserve** | Caps how much smooth can flatten pores. |\n| **saturation** | Skin chroma under the mask (negative = quieter). |\n| **highlight_protect** | Reduce effect on bright specular skin. |\n| **mask_sensitivity** | Auto mask inclusiveness. |\n| **mask_feather** | Softness of mask edges. |\n| **mask** (optional) | External skin matte; blended with auto for precision. |\n\n---\n\n## Getting the most out of it\n\n| Goal | Suggested approach |\n|------|---------------------|\n| **Natural cleanup** | Preset **Natural**, strength **0.7–1.0**. Leave other sliders as loaded. |\n| **Subtle only** | **Light**, strength **0.5–0.8**. |\n| **Clearer / cooler** | **Fresh** or raise **coolness** slightly; keep **highlight_protect** high. |\n| **Strong studio look** | **Porcelain**, strength **≤1.0**; raise **texture_preserve** if it goes plastic. |\n| **Keep warmth** | **Warm keep**, or lower **coolness** and raise **rosy** a little. |\n| **Less eye/lip change** | Already protected in auto mask; if needed, lower **strength** or use an external mask that excludes eyes/mouth. |\n| **Prints still pick up** | Lower **mask_sensitivity**; inspect **skin_mask** output; or feed a real skin **MASK**. |\n| **Hands / body too weak** | Raise **mask_sensitivity** slightly, or paint/segment those areas into **mask**. |\n| **Plastic skin** | Lower **smooth**, raise **texture_preserve**, ease **evenness**. |\n| **Flat highlights** | Raise **highlight_protect**; ease **brightness**. |\n| **Quality check** | Preview **skin_mask** — white = affected, black = left alone. |\n\n---\n\n## Quick workflow\n\n1. Image → **LC Skin Beauty ✨** \n2. Choose a **preset** (sliders update) \n3. Queue once; use the **wipe** to compare \n4. Adjust **strength** first, then one or two sliders \n5. Optional: view **skin_mask**; optional: wire an external **MASK** \n\n---\n\n## Honest limits\n\nAuto mask is **color + structure heuristics**, not a person segmenter. Ornate fabrics and warm bokeh can still leak a little. For critical work, pair with **SAM / face-parse / hand mask** on the **mask** input.\n\n---" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3469, + "type": "LCImageDenoise", + "pos": [ + -3960, + -1770 + ], + "size": [ + 300, + 520 + ], + "flags": { + "pinned": true + }, + "order": 141, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 46755 + } + ], + "outputs": [ + { + "name": "image", + "type": "IMAGE", + "links": [ + 46735, + 46751 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "4ac98869e5f9ef0a5382ec86d105271257c09267", + "Node name for S&R": "LCImageDenoise", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "aux_id": "lonecatone23/ComfyUI_LC123_nodes", + "lc_preview_meta": [ + { + "filename": "lc_after_temp_erqmp_00002_.png", + "subfolder": "", + "type": "temp" + } + ], + "lc_before_meta": [ + { + "filename": "lc_before_temp_erqmp_00002_.png", + 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Florence Notes:\n\n## ⚠️ Load Image 🖼️ Must be ***ON*** or you will get an error\n\n\n### 💡 I'll typically run this once, cut & paste the prompt out of it, drop it into the prompt area, and edit accordingly. \n\n## settings\n- **Model** any of the *\"prompt_gen_base\"* models work. Size and version affect the outcome.\n- bf16 works just as well as FP16 and is the best balanced choice \n- **caption/ detailed_caption/ more_detailed_caption:** works best for natural language models (Flux, ZIT, Qwen)\n- **prompt_gen_tags:** Good for SDXL, *but...*\n- **⭐ prompt_gen_mixed_caption:** works extremely well for SDXL, ILLU, Pony, N00B as well as for Zit. (mixed reviews on Flux. tends to just double stuff up)\n\n---\n\n## Florence 笔记:\n### 💡 我通常只会运行一次,然后将生成的 prompt 剪切粘贴出来,放入提示词区域,再进行相应编辑。\n\n## 设置\n- **Model**:使用任意 *\"prompt_gen_base\"* 模型即可。模型大小和版本会影响生成效果。\n- bf16 的效果与 FP16 相当,是平衡性最好的选择。\n- **caption / detailed_caption / more_detailed_caption**:最适合自然语言模型(Flux、ZIT、Qwen)。\n- **prompt_gen_tags**:适合 SDXL,*但……*\n- **⭐ prompt_gen_mixed_caption**:对 SDXL、ILLU、Pony、N00B 以及 Zit 效果极佳。(Flux 评价不一,容易出现内容重复。)\n" + ], + "widgets_values_named": { + "text": "## Florence Notes:\n\n## ⚠️ Load Image 🖼️ Must be ***ON*** or you will get an error\n\n\n### 💡 I'll typically run this once, cut & paste the prompt out of it, drop it into the prompt area, and edit accordingly. \n\n## settings\n- **Model** any of the *\"prompt_gen_base\"* models work. Size and version affect the outcome.\n- bf16 works just as well as FP16 and is the best balanced choice \n- **caption/ detailed_caption/ more_detailed_caption:** works best for natural language models (Flux, ZIT, Qwen)\n- **prompt_gen_tags:** Good for SDXL, *but...*\n- **⭐ prompt_gen_mixed_caption:** works extremely well for SDXL, ILLU, Pony, N00B as well as for Zit. (mixed reviews on Flux. tends to just double stuff up)\n\n---\n\n## Florence 笔记:\n### 💡 我通常只会运行一次,然后将生成的 prompt 剪切粘贴出来,放入提示词区域,再进行相应编辑。\n\n## 设置\n- **Model**:使用任意 *\"prompt_gen_base\"* 模型即可。模型大小和版本会影响生成效果。\n- bf16 的效果与 FP16 相当,是平衡性最好的选择。\n- **caption / detailed_caption / more_detailed_caption**:最适合自然语言模型(Flux、ZIT、Qwen)。\n- **prompt_gen_tags**:适合 SDXL,*但……*\n- **⭐ prompt_gen_mixed_caption**:对 SDXL、ILLU、Pony、N00B 以及 Zit 效果极佳。(Flux 评价不一,容易出现内容重复。)\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3506, + "type": "MarkdownNote", + "pos": [ + -8330, + -3980 + ], + "size": [ + 800, + 870 + ], + "flags": { + "collapsed": false, + "pinned": true + }, + "order": 99, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Notes:", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "### 👉The Krea 2 Model does **NOT do I2I like Klein_9b.** It uses the images as reference. it will **NOT** reproduce an image directly.\n\n\n### Base Prompt Encode 📝\n\n- Use for normal T2I and Normal I2I\n\n---\n### Image Edit 🖼️🔁\n**⚠️🚫 This does not work if **Sage Attention** is on!** It must be off above (in ⚙️ User Settings)as well as in your **start.bat** file\n\n**Instructions**\n- make sure to turn the switch on \n- Image 1 is your original pic\n- turn on image 2 as needed\n- Set the prompt in the main prompt area\n\n---\n\n### 🪪 Identity Edit\n- **⚠️ Image Edit 🖼️🔁** must be **ON** for this to work\n- Can be used for both images\n- **ref boost**\n - bottom image shoudljbe higher than top. \n - If you use a face pic in the bottom to transfer to the top, set to 4. Otherwise 1.0 for image 1 and 2.0 for image 2 typically works\n\n### 🥅 Controlnet\n- Use the base prompt 📝 only\n- 🪪 ID Edit must be off\n\n---\n---\n\n### 👉 Krea 2 模型**不会像 Klein_9b 那样做 I2I**。它把图片当作参考使用,**不会**直接复现原图。\n### 基础提示词编码 📝\n- 用于普通 T2I 以及普通 I2I\n---\n### 图像编辑 🖼️🔁\n**⚠️🚫 如果开启了 Sage Attention,此功能无效!** 必须在上方(⚙️ 用户设置)以及 **start.bat** 文件中都关闭它\n**使用说明**\n- 请先打开开关\n- 图像 1 是你的原图\n- 按需要开启图像 2\n- 在主提示词区域填写提示词\n---\n### 🪪 身份编辑\n- **⚠️ 图像编辑 🖼️🔁** 必须**开启**才能使用此功能\n- 两张图都可以用\n- **ref boost(参考增强)**\n - 底部图像应高于顶部图像\n - 如果底部用脸部照片、要迁移到顶部,设为 4。否则图像 1 通常用 1.0,图像 2 通常用 2.0 即可\n\n" + ], + "widgets_values_named": { + "text": "### 👉The Krea 2 Model does **NOT do I2I like Klein_9b.** It uses the images as reference. it will **NOT** reproduce an image directly.\n\n\n### Base Prompt Encode 📝\n\n- Use for normal T2I and Normal I2I\n\n---\n### Image Edit 🖼️🔁\n**⚠️🚫 This does not work if **Sage Attention** is on!** It must be off above (in ⚙️ User Settings)as well as in your **start.bat** file\n\n**Instructions**\n- make sure to turn the switch on \n- Image 1 is your original pic\n- turn on image 2 as needed\n- Set the prompt in the main prompt area\n\n---\n\n### 🪪 Identity Edit\n- **⚠️ Image Edit 🖼️🔁** must be **ON** for this to work\n- Can be used for both images\n- **ref boost**\n - bottom image shoudljbe higher than top. \n - If you use a face pic in the bottom to transfer to the top, set to 4. Otherwise 1.0 for image 1 and 2.0 for image 2 typically works\n\n### 🥅 Controlnet\n- Use the base prompt 📝 only\n- 🪪 ID Edit must be off\n\n---\n---\n\n### 👉 Krea 2 模型**不会像 Klein_9b 那样做 I2I**。它把图片当作参考使用,**不会**直接复现原图。\n### 基础提示词编码 📝\n- 用于普通 T2I 以及普通 I2I\n---\n### 图像编辑 🖼️🔁\n**⚠️🚫 如果开启了 Sage Attention,此功能无效!** 必须在上方(⚙️ 用户设置)以及 **start.bat** 文件中都关闭它\n**使用说明**\n- 请先打开开关\n- 图像 1 是你的原图\n- 按需要开启图像 2\n- 在主提示词区域填写提示词\n---\n### 🪪 身份编辑\n- **⚠️ 图像编辑 🖼️🔁** 必须**开启**才能使用此功能\n- 两张图都可以用\n- **ref boost(参考增强)**\n - 底部图像应高于顶部图像\n - 如果底部用脸部照片、要迁移到顶部,设为 4。否则图像 1 通常用 1.0,图像 2 通常用 2.0 即可\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3494, + "type": "LCAnySwitch", + "pos": [ + -7010, + -4800 + ], + "size": [ + 330, + 140 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 223, + "mode": 0, + "inputs": [ + { + "label": "CONDITIONING", + "name": "any_01", + "shape": 7, + "type": "CONDITIONING", + "link": 46952 + }, + { + "label": "CONDITIONING", + "name": "any_02", + 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Right now leave it at **depth**\n\n- **LoRA strength** seems to work best at 1.0\n\n**Krea2 Control Image Encode:**\n- I have it set for \"Match Image Latent\", which automatically resizes it per the workflow size. \n- Crop and other settings are not needed unless you override the latent. \n\n---\n\n### 🥅 ControlNet 使用笔记:\n\n\n[Krea 2 ControlNet 节点](https://github.com/facok/comfyui-krea2-controlnet)\n\n**ControlNet LoRA**\n- [Krea 2 Depth ControlNet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n- 截至 2026 年 7 月 7 日,目前仅支持 **Depth** 模型,未来随着模型更新可能会有更多选项。\n\n**⚙️ 设置推荐**\n- **AIO Preprocessor**:目前建议保持为 **depth**(后续模型更新后可能增加更多选项)\n- **LoRA 强度**:1.0 效果最佳\n\n**Krea2 Control Image Encode:**\n- 推荐设置为 **“Match Image Latent”**,会根据工作流尺寸自动调整分辨率。\n- 除非你手动覆盖 latent,否则不需要开启 Crop 等其他设置。\n" + ], + "widgets_values_named": { + "text": "### 🥅 Controlnet Notes:\n\n\n[Krea 2 controlnet nodes](https://github.com/facok/comfyui-krea2-controlnet)\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n- I am assuming that as this model advances, there will be more as of July 7th, 2026, only Depth is available.\n\n\n**⚙️ settings**\n\n## ⚠️ **Base prompt encode📝** needs to be used \n\n- **AIO Preprocessor**: again, I assume this model will get more options. Right now leave it at **depth**\n\n- **LoRA strength** seems to work best at 1.0\n\n**Krea2 Control Image Encode:**\n- I have it set for \"Match Image Latent\", which automatically resizes it per the workflow size. \n- Crop and other settings are not needed unless you override the latent. \n\n---\n\n### 🥅 ControlNet 使用笔记:\n\n\n[Krea 2 ControlNet 节点](https://github.com/facok/comfyui-krea2-controlnet)\n\n**ControlNet LoRA**\n- [Krea 2 Depth ControlNet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n- 截至 2026 年 7 月 7 日,目前仅支持 **Depth** 模型,未来随着模型更新可能会有更多选项。\n\n**⚙️ 设置推荐**\n- **AIO Preprocessor**:目前建议保持为 **depth**(后续模型更新后可能增加更多选项)\n- **LoRA 强度**:1.0 效果最佳\n\n**Krea2 Control Image Encode:**\n- 推荐设置为 **“Match Image Latent”**,会根据工作流尺寸自动调整分辨率。\n- 除非你手动覆盖 latent,否则不需要开启 Crop 等其他设置。\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3122, + "type": "Bookmark (rgthree)", + "pos": [ + -9030, + -5140 + ], + "size": [ + 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were made with\n- You can also 🔎 from the search bar\n\nMoodboard node [Repo](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards)\n\n**Search, save favorites, roll the 🎲 to get a random one**\n- works in conjunction with everything else on this aircraft carrier of a workflow. \n- 💡 Image edit 🖼️🔁 and style transfer 👠👗 tend to override it, so use base prompt encode 📝\n- **strength** set at normal seems to work fine.\n\n---\n\n**Krea Moodboard** \n**[Moodboard Gallery](https://www.krea.ai/app?gallery=moodboards)** \n- 浏览此处可以查看图像以及它们所使用的风格 \n- 你也可以通过搜索栏进行 🔎 搜索 \n\nMoodboard 节点 [仓库](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards) \n\n**搜索、保存收藏、掷 🎲 获取随机一张** \n- 可与工作流中的其他所有部分协同工作(这个工作流堪称航母级别)。 \n- **strength** 设置为 normal(正常)即可正常工作。\n- 💡 图像编辑 🖼️🔁 和风格迁移 👠👗 容易覆盖它,因此建议使用 base prompt encode 📝\n" + ], + "widgets_values_named": { + "text": "**Krea Moodboard**\n\n**[Moodboard Gallery](https://www.krea.ai/app?gallery=moodboards)**\n- Browse this to see images and the style that they were made with\n- You can also 🔎 from the search bar\n\nMoodboard node [Repo](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards)\n\n**Search, save favorites, roll the 🎲 to get a random one**\n- works in conjunction with everything else on this aircraft carrier of a workflow. \n- 💡 Image edit 🖼️🔁 and style transfer 👠👗 tend to override it, so use base prompt encode 📝\n- **strength** set at normal seems to work fine.\n\n---\n\n**Krea Moodboard** \n**[Moodboard Gallery](https://www.krea.ai/app?gallery=moodboards)** \n- 浏览此处可以查看图像以及它们所使用的风格 \n- 你也可以通过搜索栏进行 🔎 搜索 \n\nMoodboard 节点 [仓库](https://github.com/Andro-Meta/ComfyUI-Krea-Moodboards) \n\n**搜索、保存收藏、掷 🎲 获取随机一张** \n- 可与工作流中的其他所有部分协同工作(这个工作流堪称航母级别)。 \n- **strength** 设置为 normal(正常)即可正常工作。\n- 💡 图像编辑 🖼️🔁 和风格迁移 👠👗 容易覆盖它,因此建议使用 base prompt encode 📝\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 2343, + "type": "Fast Groups Bypasser (rgthree)", + "pos": [ + -6740, + -3800 + ], + "size": [ + 350, + 300 + ], + "flags": {}, + "order": 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"fontSize": 35, + "fontFamily": "Arial", + "fontColor": "#ff4d4d", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 2357, + "type": "MarkdownNote", + "pos": [ + -3970, + -4210 + ], + "size": [ + 730, + 1060 + ], + "flags": { + "collapsed": false, + "pinned": true + }, + "order": 113, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "🧠 Notes: / 笔记 :", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Overview\n\n\n**Dual Samplers**\n- Very specifically put here to deal with controlnet bleed. \n- first set of sigmas runs with the controlnet model cnditioning, 2nd runs with the clean model\n- you don't need a lot of steps for the second one (like 10%)\n\n\n**VRAM and processing speed**\n- Adding **Image reference edit 🖼️🔁** and **style Transfer 👠🥂👗** will significantly slow down the processing speed. \n- It will process, but take twice as long. The same goes for **🥅controlnet**\n- Ihe more you combine, the slower it will get. **This is normal**\n\n---\n## ⚙️ Settings:\n\n**Denoise (Now up top)**\n- mainly for I2I 🖼️. works well at higher levels. I like leaving it around .97 for everyday use, but it is also the first thing I go to to change a pose.\n\n\n\n**Sigma Scheduler Σ**\n\n- Just another level of detail. Really good when messing with realism. \n- **Base Sigmas** uses the scheduler you chose and acts normally.\n\n- If you are so inclined to mess with stuff 🤔...\n - The schedulers are in the lilac nodes. You can expand them to change the settings. \n\n**🤡 ClownSamplerSelector**\n- One of the main advantages to using Clownshark Samplers is their **fully_imlicit, diag_implicit**, and multiple other **sampler** options. \n- However, their names and schedules are not compatible with anything other than Clownshark Samplers, and only a fraction of regular names work with them. To overcome this, I have done the following:\n- **ClownSampler Selector:** You can manually select any one of the Clown Samplers to use. **Note:** all other parts of the workflow will be based on your choice in the *⚙️ User Settings* area.\n\n**Change Step Count**\n- resamples the steps in the pass (high in this case) to extand that schedule and spend more time at each step\n- `new_steps = round(old_steps * multiplier) + adder`\n- Endpoints do not move.\n- High band denser: `multiplier 2` or `adder +4`\n- Low band shorter: `multiplier 0.5`\n---\n### LC Sigma Curve\n\nA graph of the noise schedule. X = step. Y = sigma (how much noise is left).\nThe sampler walks this list. Last value should be 0.\n\n**Preset List**\n- **from_input** — after a queue, copy the optional `sigmas` socket. \n- standard scheduler choices\n- Your saved graphs (see below)\n\nPick a named preset → graph rebuilds that shape at `total_steps`.\nDrag a knot → combo becomes **Custom**. That edit is kept.\n\n\n**Edit**\n- **smooth** — move one knot, neighbors blend (`smooth_radius` 0–3).\n- **spike** — move that step only.\n- **Descending** on — list can only fall (not a straight line). Off — upticks allowed.\n\n**Save**\n- Type `save_name` → **Save curve** (one queue) → `assets/sigma_curves/.json`.\nRe-drop the node or restart to see it in the combo.\n---\n\n\n**Detail Daemon**\n- This is dialed in pretty tight already. You really should only mess with the *detail_amount* number.\n- I've found 0.2 -0.5 works well\n- If you want to mess with it more, the chart is below at the bottom:\n\n**LC Stop 🛑**\n- When turned on, the generation stops here. It allows you to make changes before committing to the upscalers, detailers, etc.\n- make changes to settings after it according to how your image came out, then hit **⏯️**\n- My low VRAM favorite trick.\n- 💡⚠️**if you have random seed turned on, it will keep starting from scratch. Make sure to fix the Seed!**\n\n\n**Notify 🔊**\n- Makes a sound when it gets to this point so you don't have to sit there and watch it\n\n\n--- \n\n\n**Best Detail Daemon Sampler Settings**\n| Preset | detail_amount | start | end | bias | exponent | smooth | Recommended For | Notes |\n|-------------------------|---------------|---------|---------|------|----------|--------|-------------------------------------|-------|\n| **Balanced** (Sweet Spot) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | Everyday use, general images | Best all-rounder for most users |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | Realism, textures, landscapes | Excellent sharpness & fine detail |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | Intricate subjects, high detail | Use carefully, can look oversharpened |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | Portraits, skin tones | Natural look, low artifacts |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | Professional portraits | Very subtle enhancement |\n\n### Quick Tips:\n- `detail_amount` is the main control (higher = more detail).\n- Most users find **0.50** the best daily default for Flux.\n- `start` = when detail boost begins | `end` = when it stops.\n- Keep **bias = 0.0** and **exponent = 1.0** for most cases.\n- to test if anyone reads my notes, first one to tell me the name of my Dog (Mochi) on this model for 100 buzz⚡.\n- Always enable **smooth = True**.\n\n---\n---\n\n## 概述\n\n**双采样器(Dual Samplers)**\n- 专门用来处理 ControlNet 渗色(bleed)。\n- 第一段 sigma 用带 ControlNet 的模型与 conditioning;第二段用干净模型。\n- 第二段不需要很多步,大约 **10%** 就够。\n\n**显存与速度**\n- 加上 **Image reference edit 🖼️🔁** 和 **style Transfer 👠🥂👗** 会明显变慢。\n- 能跑完,但大约要多花一倍时间。**🥅 ControlNet** 也一样。\n- 叠得越多越慢。**这是正常的。**\n\n---\n## ⚙️ 设置\n\n**Denoise(已移到最上面)**\n- 主要给 I2I 🖼️ 用。偏高也很好用。日常我喜欢留在 **0.97** 左右;要改姿势时,我通常先动这个。\n\n**Sigma Scheduler Σ**\n- 多一层细节控制。调真实感时很有用。\n- **Base Sigmas** 用你选的调度器,行为与平时相同。\n- 想折腾的话 🤔……调度器在淡紫色节点里,展开即可改参数。\n\n**🤡 ClownSamplerSelector**\n- 用 Clownshark 采样器的一大好处是 **fully_implicit、diag_implicit** 以及其它多种 **sampler**。\n- 但它们的名称和 schedule **只认 Clownshark**,普通名字里只有一小部分能用。所以工作流里是这样处理的:\n- **ClownSampler Selector:** 可手动选任意一个 Clown Sampler。**注意:** 工作流其余部分仍以 *⚙️ User Settings* 里的选择为准。\n\n**LC Sigma Resample(原 Change Step Count)**\n- 把**这一段**(这里是 high)的 sigma 曲线重采样到新的步数网格上:同一条路径,更多(或更少)**真实步数**,在该噪声区间多停留。\n- `new_steps = round(old_steps * multiplier) + adder`\n- 起点、终点的 sigma **不变**。\n- high 段更密:`multiplier 2` 或 `adder +4`\n- low 段更短:`multiplier 0.5`\n- 接在 **Split 之后、对应那一段上**,不要接在分割器前面。\n\n---\n### LC Sigma Curve\n\n噪声日程的图。X = 步;Y = sigma(还剩多少噪声)。\n采样器按这个列表走。最后一项应为 **0**。\n\n**预设列表**\n- **from_input** — 排队跑一次后,读取可选的 `sigmas` 接口。\n- 标准调度器名称\n- 你保存的曲线(见下)\n\n选中具名预设 → 按 `total_steps` 重建该形状。\n拖动一个结点 → 变成 **Custom**。这次修改会保留,下次生成不会被预设盖掉。\n\n**编辑**\n- **smooth** — 拖一个点,邻近点一起混(`smooth_radius` 0–3)。\n- **spike** — 只动那一步。\n- **Descending** 开 = 列表只能下降(不是一条直线)。关 = 允许回升。\n\n**保存**\n- 填写 `save_name` → **Save curve**(会排队一次)→ `assets/sigma_curves/.json`。\n- 重新拖一次节点或重启后,名称才会出现在下拉里。\n\n---\n\n**Detail Daemon**\n- 已经调得比较紧。一般只动 ***detail_amount***。\n- 我这边 **0.2–0.5** 比较合适。\n- 还想细调,见文末表格。\n\n**LC Stop 🛑**\n- 打开后生成会停在这里。可以先改设置,再决定要不要上放大、细节器等。\n- 按出图结果改后面的参数,然后点 **⏯️**。\n- 低显存时我最常用的手法。\n- 💡⚠️ **若种子是随机的,每次都会从头跑。一定要把 Seed 固定住!**\n\n**Notify 🔊**\n- 跑到这里会响一声,不用一直盯着。\n\n---\n\n**Detail Daemon 采样参考**\n\n\n| 预设 | detail_amount | start | end | bias | exponent | smooth | 适用 | 说明 |\n| --------------------------- | ------------- | ----- | ---- | ---- | -------- | ------ | ---------------------------- | ------------------------ |\n| **Balanced**(甜点) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | 日常、通用 | 大多数人的全能档 |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | 写实、材质、风景 | 锐度和细部很好 |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | 复杂主体、高细节 | 小心,容易过锐 |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | 人像、肤色 | 自然,伪影少 |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | 偏商业人像 | 非常克制 |\n\n\n### 速记\n- 主旋钮是 `detail_amount`(越高细节越多)。\n- Flux 日常多数人觉得 **0.50** 最好用。\n- `start` = 开始加细节的位置|`end` = 停止的位置。\n- 多数情况保持 **bias = 0.0**、**exponent = 1.0**。\n- 测谁看笔记:第一个在这套模型上告诉我狗名(Mochi)的,送 100 buzz⚡。\n- **smooth** 请保持 **True**。\n" + ], + "widgets_values_named": { + "text": "## Overview\n\n\n**Dual Samplers**\n- Very specifically put here to deal with controlnet bleed. \n- first set of sigmas runs with the controlnet model cnditioning, 2nd runs with the clean model\n- you don't need a lot of steps for the second one (like 10%)\n\n\n**VRAM and processing speed**\n- Adding **Image reference edit 🖼️🔁** and **style Transfer 👠🥂👗** will significantly slow down the processing speed. \n- It will process, but take twice as long. The same goes for **🥅controlnet**\n- Ihe more you combine, the slower it will get. **This is normal**\n\n---\n## ⚙️ Settings:\n\n**Denoise (Now up top)**\n- mainly for I2I 🖼️. works well at higher levels. I like leaving it around .97 for everyday use, but it is also the first thing I go to to change a pose.\n\n\n\n**Sigma Scheduler Σ**\n\n- Just another level of detail. Really good when messing with realism. \n- **Base Sigmas** uses the scheduler you chose and acts normally.\n\n- If you are so inclined to mess with stuff 🤔...\n - The schedulers are in the lilac nodes. You can expand them to change the settings. \n\n**🤡 ClownSamplerSelector**\n- One of the main advantages to using Clownshark Samplers is their **fully_imlicit, diag_implicit**, and multiple other **sampler** options. \n- However, their names and schedules are not compatible with anything other than Clownshark Samplers, and only a fraction of regular names work with them. To overcome this, I have done the following:\n- **ClownSampler Selector:** You can manually select any one of the Clown Samplers to use. **Note:** all other parts of the workflow will be based on your choice in the *⚙️ User Settings* area.\n\n**Change Step Count**\n- resamples the steps in the pass (high in this case) to extand that schedule and spend more time at each step\n- `new_steps = round(old_steps * multiplier) + adder`\n- Endpoints do not move.\n- High band denser: `multiplier 2` or `adder +4`\n- Low band shorter: `multiplier 0.5`\n---\n### LC Sigma Curve\n\nA graph of the noise schedule. X = step. Y = sigma (how much noise is left).\nThe sampler walks this list. Last value should be 0.\n\n**Preset List**\n- **from_input** — after a queue, copy the optional `sigmas` socket. \n- standard scheduler choices\n- Your saved graphs (see below)\n\nPick a named preset → graph rebuilds that shape at `total_steps`.\nDrag a knot → combo becomes **Custom**. That edit is kept.\n\n\n**Edit**\n- **smooth** — move one knot, neighbors blend (`smooth_radius` 0–3).\n- **spike** — move that step only.\n- **Descending** on — list can only fall (not a straight line). Off — upticks allowed.\n\n**Save**\n- Type `save_name` → **Save curve** (one queue) → `assets/sigma_curves/.json`.\nRe-drop the node or restart to see it in the combo.\n---\n\n\n**Detail Daemon**\n- This is dialed in pretty tight already. You really should only mess with the *detail_amount* number.\n- I've found 0.2 -0.5 works well\n- If you want to mess with it more, the chart is below at the bottom:\n\n**LC Stop 🛑**\n- When turned on, the generation stops here. It allows you to make changes before committing to the upscalers, detailers, etc.\n- make changes to settings after it according to how your image came out, then hit **⏯️**\n- My low VRAM favorite trick.\n- 💡⚠️**if you have random seed turned on, it will keep starting from scratch. Make sure to fix the Seed!**\n\n\n**Notify 🔊**\n- Makes a sound when it gets to this point so you don't have to sit there and watch it\n\n\n--- \n\n\n**Best Detail Daemon Sampler Settings**\n| Preset | detail_amount | start | end | bias | exponent | smooth | Recommended For | Notes |\n|-------------------------|---------------|---------|---------|------|----------|--------|-------------------------------------|-------|\n| **Balanced** (Sweet Spot) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | Everyday use, general images | Best all-rounder for most users |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | Realism, textures, landscapes | Excellent sharpness & fine detail |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | Intricate subjects, high detail | Use carefully, can look oversharpened |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | Portraits, skin tones | Natural look, low artifacts |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | Professional portraits | Very subtle enhancement |\n\n### Quick Tips:\n- `detail_amount` is the main control (higher = more detail).\n- Most users find **0.50** the best daily default for Flux.\n- `start` = when detail boost begins | `end` = when it stops.\n- Keep **bias = 0.0** and **exponent = 1.0** for most cases.\n- to test if anyone reads my notes, first one to tell me the name of my Dog (Mochi) on this model for 100 buzz⚡.\n- Always enable **smooth = True**.\n\n---\n---\n\n## 概述\n\n**双采样器(Dual Samplers)**\n- 专门用来处理 ControlNet 渗色(bleed)。\n- 第一段 sigma 用带 ControlNet 的模型与 conditioning;第二段用干净模型。\n- 第二段不需要很多步,大约 **10%** 就够。\n\n**显存与速度**\n- 加上 **Image reference edit 🖼️🔁** 和 **style Transfer 👠🥂👗** 会明显变慢。\n- 能跑完,但大约要多花一倍时间。**🥅 ControlNet** 也一样。\n- 叠得越多越慢。**这是正常的。**\n\n---\n## ⚙️ 设置\n\n**Denoise(已移到最上面)**\n- 主要给 I2I 🖼️ 用。偏高也很好用。日常我喜欢留在 **0.97** 左右;要改姿势时,我通常先动这个。\n\n**Sigma Scheduler Σ**\n- 多一层细节控制。调真实感时很有用。\n- **Base Sigmas** 用你选的调度器,行为与平时相同。\n- 想折腾的话 🤔……调度器在淡紫色节点里,展开即可改参数。\n\n**🤡 ClownSamplerSelector**\n- 用 Clownshark 采样器的一大好处是 **fully_implicit、diag_implicit** 以及其它多种 **sampler**。\n- 但它们的名称和 schedule **只认 Clownshark**,普通名字里只有一小部分能用。所以工作流里是这样处理的:\n- **ClownSampler Selector:** 可手动选任意一个 Clown Sampler。**注意:** 工作流其余部分仍以 *⚙️ User Settings* 里的选择为准。\n\n**LC Sigma Resample(原 Change Step Count)**\n- 把**这一段**(这里是 high)的 sigma 曲线重采样到新的步数网格上:同一条路径,更多(或更少)**真实步数**,在该噪声区间多停留。\n- `new_steps = round(old_steps * multiplier) + adder`\n- 起点、终点的 sigma **不变**。\n- high 段更密:`multiplier 2` 或 `adder +4`\n- low 段更短:`multiplier 0.5`\n- 接在 **Split 之后、对应那一段上**,不要接在分割器前面。\n\n---\n### LC Sigma Curve\n\n噪声日程的图。X = 步;Y = sigma(还剩多少噪声)。\n采样器按这个列表走。最后一项应为 **0**。\n\n**预设列表**\n- **from_input** — 排队跑一次后,读取可选的 `sigmas` 接口。\n- 标准调度器名称\n- 你保存的曲线(见下)\n\n选中具名预设 → 按 `total_steps` 重建该形状。\n拖动一个结点 → 变成 **Custom**。这次修改会保留,下次生成不会被预设盖掉。\n\n**编辑**\n- **smooth** — 拖一个点,邻近点一起混(`smooth_radius` 0–3)。\n- **spike** — 只动那一步。\n- **Descending** 开 = 列表只能下降(不是一条直线)。关 = 允许回升。\n\n**保存**\n- 填写 `save_name` → **Save curve**(会排队一次)→ `assets/sigma_curves/.json`。\n- 重新拖一次节点或重启后,名称才会出现在下拉里。\n\n---\n\n**Detail Daemon**\n- 已经调得比较紧。一般只动 ***detail_amount***。\n- 我这边 **0.2–0.5** 比较合适。\n- 还想细调,见文末表格。\n\n**LC Stop 🛑**\n- 打开后生成会停在这里。可以先改设置,再决定要不要上放大、细节器等。\n- 按出图结果改后面的参数,然后点 **⏯️**。\n- 低显存时我最常用的手法。\n- 💡⚠️ **若种子是随机的,每次都会从头跑。一定要把 Seed 固定住!**\n\n**Notify 🔊**\n- 跑到这里会响一声,不用一直盯着。\n\n---\n\n**Detail Daemon 采样参考**\n\n\n| 预设 | detail_amount | start | end | bias | exponent | smooth | 适用 | 说明 |\n| --------------------------- | ------------- | ----- | ---- | ---- | -------- | ------ | ---------------------------- | ------------------------ |\n| **Balanced**(甜点) | 0.50 | 0.25 | 0.80 | 0.0 | 1.0 | True | 日常、通用 | 大多数人的全能档 |\n| **Strong Details** | 0.65 | 0.20 | 0.85 | 0.0 | 1.0 | True | 写实、材质、风景 | 锐度和细部很好 |\n| **Very Strong** | 0.80 | 0.18 | 0.88 | 0.0 | 1.0 | True | 复杂主体、高细节 | 小心,容易过锐 |\n| **Mild / Clean** | 0.35 | 0.30 | 0.75 | 0.0 | 1.0 | True | 人像、肤色 | 自然,伪影少 |\n| **Ultra Clean** | 0.25 | 0.35 | 0.70 | 0.0 | 1.0 | True | 偏商业人像 | 非常克制 |\n\n\n### 速记\n- 主旋钮是 `detail_amount`(越高细节越多)。\n- Flux 日常多数人觉得 **0.50** 最好用。\n- `start` = 开始加细节的位置|`end` = 停止的位置。\n- 多数情况保持 **bias = 0.0**、**exponent = 1.0**。\n- 测谁看笔记:第一个在这套模型上告诉我狗名(Mochi)的,送 100 buzz⚡。\n- **smooth** 请保持 **True**。\n" + }, + "color": "#323", + "bgcolor": "#535" + }, + { + "id": 2704, + "type": "MarkdownNote", + "pos": [ + -5890, + -2630 + ], + "size": [ + 640, + 1060 + ], + "flags": { + "pinned": true + }, + "order": 114, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "💡Tips & Tricks/ 提示与技巧", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## 💡Tips & Tricks:\n\nWhat I do...😼\n\n**📝 Prompting:**\n- I typically start with an idea, write it in the prompt box, then run it through the enhancer.\n- or... I'll run an image through Florence and get the prompt.\n- then I'll cut & paste it back into the prompt box and edit it. \n\n**Steps:**\n- I'll typically run every model at the very top range or a few steps over what is recommended. Too many steps overbake it. For Krea2 Turbo, I use 10-12\n\n**🥅 controlnet**\n- quality is everything. 🗑️garbage in, 🗑️ garbage out.\n- ⚠️ understand the limits of each models controlnet before getting angry with it. Krea2 is designed in a way that does not play nice with controlnet, and currently we are limited to only one set of weights and one type: depth. **It is hit or miss.** I use it to get close. If I want precision, I'll use Flux.\n\n\n**Settings** \n- I have a set of schedulers and samplers that I like. I use them over and over again and only change them for different styles:\n- **regular:**\n - Res_2m/ Beta57 (or bong tangent)\n - Euler/ Simple\n - dpmpp_2m_sde/ sgm_uniform\n- **🤡Sampler selector**\n - fully_implicit/radau_iii-3s (or 4s) + Bong tanget or simple\n\n**Sigma Selector**\n- **Beta** for everything not realiam\n- **base** or **dpmpp** for realism\n- its a nifty little toy for sharpening and detail\n\n**Detailer Daemon**\n- This is really set and forget with me. On or off once I have it locked in. \n\n**Hi Res Fix/ Ultimate Upscaler**\n- I never upscale past 2.0\n- Skin and detail can be a big help here. \n - siax_200\n - skin_diff_lite\n - foolhardy\n- **Anime:** Anime sharp\n- **Graphics:** any superscale. I like Nickelback\n\n**🚫NSFW Detailers**\n- short of nipples, I have yet to find a reason to use these on Krea2. \n\n**Detailers**\n- I never combine face with eyes. I'll just use face 9 times out of 10 unless I want something special with the eyes\n\n**Seed VR2**\n- This collects dust. I use it for commercial or commission graphics. \n - That being said, I used it a lot when I had lower VRAM. Mainly because pushing the upscaled version through the detailers was VRAM prohibitive.\n- for almost any image in everyday use or on the site. The ultimate upscaler is usually enough.\n\n**🎨 Post processing**\n- of the ones on the top line, I really only use Contrast adaptive sharpen every day. The others are for when I am trying to get a certain effect\n- **Image filter** is your friend. I always leave it a little low on bright and a little high on saturation\n- **Optical Realism 📷, 📷 Lens FX, 🔬 Clarity FX.** These are all for reailsm. \n - I vary between them. For example, I use several different model and LoRA combinations. One works better for one set, the other for another. \n - 💡 Never use optical realism and Lens FX at the same time. They get in a cage match. \n- **LUT** My all time favorite. It really can make an image. I like *Cool_Natural_Breeze* \n\n\n---\n\n**💡提示与技巧:**\n\n**📝 提示词(Prompting):**\n\n* 我通常先有一个想法,在提示框中写下来,然后通过增强器(enhancer)运行它。\n* 或者……我会把一张图片通过 Florence 处理,获取提示词。\n* 然后将其剪切并粘贴回提示框中进行编辑。\n\n**步骤:**\n\n* 我通常会把每个模型都运行在推荐步数的最高范围或略高一些。步数太多会过度烘焙。对于 **Krea2 Turbo**,我使用 10-12 步。\n\n**🥅 ControlNet**\n\n* 质量就是一切。🗑️垃圾输入,🗑️垃圾输出。\n- ⚠️ 在对 ControlNet 发火之前,请先了解每个模型的 ControlNet 限制。Krea2 的设计方式与 ControlNet 兼容性不佳,目前我们仅支持一组权重和一种类型:**depth**。**效果时好时坏。** 我用它来先得到接近的结果。如果需要精确控制,我会改用 Flux。\n\n\n**设置(Settings)**\n\n* 我有一套自己喜欢的调度器和采样器。我会反复使用它们,只在不同风格时才更换:\n\n* 常规:\n * Res_2m / Beta57(或 Bong Tangent)\n * Euler / Simple\n * dpmpp_2m_sde / sgm_uniform\n\n* 🤡Sampler 选择器\n * fully_implicit / radau_iii-3s(或 4s) + Bong Tangent 或 Simple\n\n**Sigma 选择器**\n\n* 非写实类全部使用 Beta\n* 写实类使用 base 或 dpmpp\n\n\n**Detailer Daemon**\n\n- 这个对我来说真的是设置好就忘掉的工具。一旦锁定设置后,我就只会打开或关闭它。\n\n**Hi Res Fix / Ultimate Upscaler**\n\n* 我从不将 upscale 超过 2.0\n* 皮肤和细节在这里帮助很大:\n * siax_200\n * skin_diff_lite\n * foolhardy\n* 动漫风格:Anime sharp\n* 图形/插画:任何 superscale,我喜欢 Nickelback\n\n**🚫NSFW Detailers**\n\n* 除了乳头以外,我还没找到在 Krea2 上使用这些 Detailers 的理由。\n\n**Detailers**\n\n* 我从不把面部和眼睛结合使用。十次里有九次我只用面部 Detailer,除非我想对眼睛做特别处理。\n\n**Seed VR2**\n\n- 这个已经闲置了。我主要用它来做商业或委托图形。\n - 话虽如此,当我 VRAM 较低时,我曾大量使用它。主要因为将放大后的版本送入 detailers 处理会非常占用 VRAM。\n\n- 对于日常使用或网站上的几乎任何图像,Ultimate Upscaler 通常就足够了。\n\n**🎨 后期处理(Post Processing)**\n\n* 在顶栏的那些选项中,我每天真正常用的只有 **Contrast adaptive sharpen**。其他选项只在我想达到特定效果时使用。\n* Image filter 是你的好朋友。我总是把亮度调得稍微低一点,饱和度调得稍微高一点。\n* **Optical Realism 📷**、**📷 Lens FX**、**🔬 Clarity FX** —— 这些都用于写实风格。\n * 我会在它们之间切换。例如,我会使用几种不同的模型和 LoRA 组合,有的组合适合这一组,有的适合另一组。\n * 💡 永远不要同时使用 Optical Realism 和 Lens FX,它们会打架。\n* **LUT** —— 我一直以来的最爱。它真的能拯救一张图片。我最喜欢 **Cool_Natural_Breeze**。\n\n" + ], + "widgets_values_named": { + "text": "## 💡Tips & Tricks:\n\nWhat I do...😼\n\n**📝 Prompting:**\n- I typically start with an idea, write it in the prompt box, then run it through the enhancer.\n- or... I'll run an image through Florence and get the prompt.\n- then I'll cut & paste it back into the prompt box and edit it. \n\n**Steps:**\n- I'll typically run every model at the very top range or a few steps over what is recommended. Too many steps overbake it. For Krea2 Turbo, I use 10-12\n\n**🥅 controlnet**\n- quality is everything. 🗑️garbage in, 🗑️ garbage out.\n- ⚠️ understand the limits of each models controlnet before getting angry with it. Krea2 is designed in a way that does not play nice with controlnet, and currently we are limited to only one set of weights and one type: depth. **It is hit or miss.** I use it to get close. If I want precision, I'll use Flux.\n\n\n**Settings** \n- I have a set of schedulers and samplers that I like. I use them over and over again and only change them for different styles:\n- **regular:**\n - Res_2m/ Beta57 (or bong tangent)\n - Euler/ Simple\n - dpmpp_2m_sde/ sgm_uniform\n- **🤡Sampler selector**\n - fully_implicit/radau_iii-3s (or 4s) + Bong tanget or simple\n\n**Sigma Selector**\n- **Beta** for everything not realiam\n- **base** or **dpmpp** for realism\n- its a nifty little toy for sharpening and detail\n\n**Detailer Daemon**\n- This is really set and forget with me. On or off once I have it locked in. \n\n**Hi Res Fix/ Ultimate Upscaler**\n- I never upscale past 2.0\n- Skin and detail can be a big help here. \n - siax_200\n - skin_diff_lite\n - foolhardy\n- **Anime:** Anime sharp\n- **Graphics:** any superscale. I like Nickelback\n\n**🚫NSFW Detailers**\n- short of nipples, I have yet to find a reason to use these on Krea2. \n\n**Detailers**\n- I never combine face with eyes. I'll just use face 9 times out of 10 unless I want something special with the eyes\n\n**Seed VR2**\n- This collects dust. I use it for commercial or commission graphics. \n - That being said, I used it a lot when I had lower VRAM. Mainly because pushing the upscaled version through the detailers was VRAM prohibitive.\n- for almost any image in everyday use or on the site. The ultimate upscaler is usually enough.\n\n**🎨 Post processing**\n- of the ones on the top line, I really only use Contrast adaptive sharpen every day. The others are for when I am trying to get a certain effect\n- **Image filter** is your friend. I always leave it a little low on bright and a little high on saturation\n- **Optical Realism 📷, 📷 Lens FX, 🔬 Clarity FX.** These are all for reailsm. \n - I vary between them. For example, I use several different model and LoRA combinations. One works better for one set, the other for another. \n - 💡 Never use optical realism and Lens FX at the same time. They get in a cage match. \n- **LUT** My all time favorite. It really can make an image. I like *Cool_Natural_Breeze* \n\n\n---\n\n**💡提示与技巧:**\n\n**📝 提示词(Prompting):**\n\n* 我通常先有一个想法,在提示框中写下来,然后通过增强器(enhancer)运行它。\n* 或者……我会把一张图片通过 Florence 处理,获取提示词。\n* 然后将其剪切并粘贴回提示框中进行编辑。\n\n**步骤:**\n\n* 我通常会把每个模型都运行在推荐步数的最高范围或略高一些。步数太多会过度烘焙。对于 **Krea2 Turbo**,我使用 10-12 步。\n\n**🥅 ControlNet**\n\n* 质量就是一切。🗑️垃圾输入,🗑️垃圾输出。\n- ⚠️ 在对 ControlNet 发火之前,请先了解每个模型的 ControlNet 限制。Krea2 的设计方式与 ControlNet 兼容性不佳,目前我们仅支持一组权重和一种类型:**depth**。**效果时好时坏。** 我用它来先得到接近的结果。如果需要精确控制,我会改用 Flux。\n\n\n**设置(Settings)**\n\n* 我有一套自己喜欢的调度器和采样器。我会反复使用它们,只在不同风格时才更换:\n\n* 常规:\n * Res_2m / Beta57(或 Bong Tangent)\n * Euler / Simple\n * dpmpp_2m_sde / sgm_uniform\n\n* 🤡Sampler 选择器\n * fully_implicit / radau_iii-3s(或 4s) + Bong Tangent 或 Simple\n\n**Sigma 选择器**\n\n* 非写实类全部使用 Beta\n* 写实类使用 base 或 dpmpp\n\n\n**Detailer Daemon**\n\n- 这个对我来说真的是设置好就忘掉的工具。一旦锁定设置后,我就只会打开或关闭它。\n\n**Hi Res Fix / Ultimate Upscaler**\n\n* 我从不将 upscale 超过 2.0\n* 皮肤和细节在这里帮助很大:\n * siax_200\n * skin_diff_lite\n * foolhardy\n* 动漫风格:Anime sharp\n* 图形/插画:任何 superscale,我喜欢 Nickelback\n\n**🚫NSFW Detailers**\n\n* 除了乳头以外,我还没找到在 Krea2 上使用这些 Detailers 的理由。\n\n**Detailers**\n\n* 我从不把面部和眼睛结合使用。十次里有九次我只用面部 Detailer,除非我想对眼睛做特别处理。\n\n**Seed VR2**\n\n- 这个已经闲置了。我主要用它来做商业或委托图形。\n - 话虽如此,当我 VRAM 较低时,我曾大量使用它。主要因为将放大后的版本送入 detailers 处理会非常占用 VRAM。\n\n- 对于日常使用或网站上的几乎任何图像,Ultimate Upscaler 通常就足够了。\n\n**🎨 后期处理(Post Processing)**\n\n* 在顶栏的那些选项中,我每天真正常用的只有 **Contrast adaptive sharpen**。其他选项只在我想达到特定效果时使用。\n* Image filter 是你的好朋友。我总是把亮度调得稍微低一点,饱和度调得稍微高一点。\n* **Optical Realism 📷**、**📷 Lens FX**、**🔬 Clarity FX** —— 这些都用于写实风格。\n * 我会在它们之间切换。例如,我会使用几种不同的模型和 LoRA 组合,有的组合适合这一组,有的适合另一组。\n * 💡 永远不要同时使用 Optical Realism 和 Lens FX,它们会打架。\n* **LUT** —— 我一直以来的最爱。它真的能拯救一张图片。我最喜欢 **Cool_Natural_Breeze**。\n\n" + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 3042, + "type": "LCPipeOut", + "pos": [ + -7320, + -3470 + ], + "size": [ + 200, + 530 + ], + "flags": { + "collapsed": true + }, + "order": 121, + "mode": 0, + "inputs": [ + { + "label": "pipe", + "name": 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[Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF 版本](https://civitai.red/api/download/models/3069586?fileId=2948449)。 ⚠️ 不要使用 CivitAI 上找到的其他版本。它们都是垃圾。\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - 用于图像编辑。**下载后重命名**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n\n**🪪 ID EDit LoRA**\n\n- [Krea 2 identity edit v1.2](https://civitai.red/api/download/models/3139172?fileId=3019297)\n\n\n\n**Krea 2 Conditioning Rebalance**\n\n- 移除 NSFW 安全过滤器 [ConditioningKrea2Rebalance](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n\n\n\n### 画幅比例节点(Aspect Ratio Node):\n- 可使用预设尺寸或自定义尺寸。自定义时必须将预设选为 **custom**。\n- **Prescale**:会先缩小你选择的初始尺寸,有助于低显存情况。\n- **Upscale**:连接到 SEED VR2。\n- **Hi-rez fix 滑块**:控制 hi-rez fix 的放大倍率。通常设为 1.5 以减轻 SEED VR2 上采样压力。\n\n### I2I 与 Florence 提示词生成器:\n- ⚠️ 必须同时开启 **I2I** 和 **Florence** 才能使用 I2I 功能。\n- ***背景移除***:如果你不希望提示词或 controlnet 模型带有背景,开启很有帮助。请阅读该区域的使用说明。\n- Controlnet 也会使用 **I2I** 的图片,因此 I2I 必须开启。\n\n### 提示词增强器(Prompt Enhancer):**Qwen 📝🪄**\n- 使用 **Qwen3-VL-8b-Instruct**。\n- 这是一个精简的 LLM 模型,用于优化你的提示词。请在其中输入你希望它如何改进提示。\n- 提示词长度会显著影响生成速度。“Notes” 区域中已保留两种不同的指令模板供参考。\n- 💡如果模型无法加载或找不到模型,请按照[此处](https://github.com/huchukato/ComfyUI-QwenVL-Mod)的说明操作\n\n\n## 🛑🚫 草稿模式(Draft Mode):\n- 开启后,工作流会在此处停止(不进行 hi-rez、细节处理等)。\n- 草稿图像会保存(需开启 “Save Draft”)。\n- **Play Sound** 会发出提示音(仅便携版支持)。\n- 更改提示音的方法见 Notes 区域(不需要可删除)。\n\n### 上采样技巧:\n- 显存不足时,可降低画幅比例 + 使用另一侧的 SEED VR2,有助于缓解生成问题。\n- **Prescale**(在 Aspect Ratio 节点中):增大生成底图尺寸;**Hi-rez fix 滑块**:控制二次放大的倍率。\n- **Tiled vs. 非 Tiled**:平铺模式会把图像切块,大幅加快处理速度,但牺牲少量质量。建议尽量把平铺参数调高。\n\n### Hi-REZ 上采样:\n- 写实风格推荐:Ultra Sharp、Niclekback 或 Ersgan。\n- 动漫风格推荐:Anime sharp。\n- 显存吃紧时,使用底部滑块增加切块数量(减小单块尺寸),仅用于避免 OOM 或砖块 artifact。\n- [上采样模型下载](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- 如果出现噪点(常由劣质 LoRA 引起),可使用此模型略微改善:[Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n\n### 细节修复器(Detailers):\n- **(仅 ZIT 版本)** ✋ 请确保使用的 checkpoint 与你的风格匹配(写实 / 动漫)。\n- 相应调整 sampler 和 scheduler。\n- 脸部 & 手部检测模型 [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- 眼睛专用 [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo:V8n 与 V8s 的区别?** “n”代表 nano,精度较低但显存占用少。**尽可能使用 S 版本**(尤其脸部细节修复常见问题)。\n\n### 🚫 NSFW 细节修复器(若适用):\n- 如果要生成男性,请关闭女性检测,否则可能出现奇怪结果。\n- ⚠️ 有两种细节修复器:**SEGs** 和 **SAM**,使用的模型不同,装错会报奇怪错误。SEGs 主要用于身体,其余两个适合局部细节。\n- [女性身体检测](https://civitai.com/models/1816953/female-body-detection)\n- [男性生殖器检测](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- 模型需放入 segm 文件夹(见下方路径)。\n- [其他身体部位模型(注意甄别下载内容)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- 如果当前不是 NSFW 版本,想要获取可前往我的 [Civitai 主页](https://civitai.com/user/lonecatone23) 或私信我。\n\n### Seed VR2 上采样器:\n- [观看教学视频](https://www.youtube.com/watch?v=MBtWYXq_r60)\n- 本设置针对低显存优化。高显存用户可关闭 VAE 中的 tiling,然后提高分辨率。\n- Debug 已开启,可观察日志,它会提醒你是否还有余量继续增大。\n\n**自动下载说明**\n- 首次使用时,选中的模型和 VAE 文件会自动下载。\n- ⚠️ 模型较大,下载可能需要几分钟。\n- 请关注控制台日志查看下载进度。\n- 也可手动下载到 📂`ComfyUI\\models\\SEEDVR2` 目录。\n- 模型地址:[这里](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) 和 [这里](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main)。\n\n## ControlNet\n- ⚠️ 绕过(bypass)ControlNet 时,所有开关都会重置。***需要重新逐个设置。***\n- ⚠️ 必须开启 I2I 图片,ControlNet 才会生效。\n\n### 模型补丁(Model patch)\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- 推荐使用 **2.1** 版本\n\n### LUT\n- 可在此免费获取 LUT:[HERE](https://freshluts.com)\n- 文件存放位置见下方\n\n***DING!***(播放声音)\n- 仅便携版支持\n- 自定义声音方法见下方说明\n- 需手动输入文件名(区分大小写)\n\n### 常用节点链接:\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack) \n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n[Use Everywhere](https://github.com/chrisgoringe/cg-use-everywhere) \n\n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3) \n\n\n### 存储路径\n```\n📂 ComfyUI/\n├─📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── LUT 文件\n│ ├── 📂 SEED VR2\n│ │ └── 所有相关文件\n│ ├── 📂 ultralytics\n│ │ └── 📂 segm\n│ │ └── 检测模型文件\n│ ├── 📂 upscale_models\n│ │ └── 上采样模型(Ersgan、Nickelback 等)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3(或其他 .mp3 声音文件)\n```\n\n" + ], + "widgets_values_named": { + "text": "# 说明\n### 在 CivitAi 上关注我 [HERE](https://civitai.com/user/lonecatone23)\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n### 这代表数百小时的工作成果。如果你喜欢,请 👍点赞、💬留言,并欢迎随时 ⚡打赏 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n## 通用说明:\n# 🛑🚫✋ 严禁手动绕过任何设置!所有功能都有对应的开关。\n### ⚠️ 如果出现 \"Nonetype:\" 错误,通常是 controlnet 开关问题、i2i 或 mask 没有图片,或者没有启用采样器。\n### 💾 保存相关信息:\n- **除非主动开启,否则什么都不会保存!**\n- 📂 文件夹名称可在 “Save Group” 中修改。\n- **Save Post Process** 会保存最终图像(不带元数据)。如果 checkpoint 在 CivitAi 上不显示,可用此方式手动上传。\n\n### 模型链接\n\nBF16 和 NVFP4 版本请见 [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF 版本](https://civitai.red/api/download/models/3069586?fileId=2948449)。 ⚠️ 不要使用 CivitAI 上找到的其他版本。它们都是垃圾。\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - 用于图像编辑。**下载后重命名**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n\n**🪪 ID EDit LoRA**\n\n- [Krea 2 identity edit v1.2](https://civitai.red/api/download/models/3139172?fileId=3019297)\n\n\n\n**Krea 2 Conditioning Rebalance**\n\n- 移除 NSFW 安全过滤器 [ConditioningKrea2Rebalance](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n\n\n\n### 画幅比例节点(Aspect Ratio Node):\n- 可使用预设尺寸或自定义尺寸。自定义时必须将预设选为 **custom**。\n- **Prescale**:会先缩小你选择的初始尺寸,有助于低显存情况。\n- **Upscale**:连接到 SEED VR2。\n- **Hi-rez fix 滑块**:控制 hi-rez fix 的放大倍率。通常设为 1.5 以减轻 SEED VR2 上采样压力。\n\n### I2I 与 Florence 提示词生成器:\n- ⚠️ 必须同时开启 **I2I** 和 **Florence** 才能使用 I2I 功能。\n- ***背景移除***:如果你不希望提示词或 controlnet 模型带有背景,开启很有帮助。请阅读该区域的使用说明。\n- Controlnet 也会使用 **I2I** 的图片,因此 I2I 必须开启。\n\n### 提示词增强器(Prompt Enhancer):**Qwen 📝🪄**\n- 使用 **Qwen3-VL-8b-Instruct**。\n- 这是一个精简的 LLM 模型,用于优化你的提示词。请在其中输入你希望它如何改进提示。\n- 提示词长度会显著影响生成速度。“Notes” 区域中已保留两种不同的指令模板供参考。\n- 💡如果模型无法加载或找不到模型,请按照[此处](https://github.com/huchukato/ComfyUI-QwenVL-Mod)的说明操作\n\n\n## 🛑🚫 草稿模式(Draft Mode):\n- 开启后,工作流会在此处停止(不进行 hi-rez、细节处理等)。\n- 草稿图像会保存(需开启 “Save Draft”)。\n- **Play Sound** 会发出提示音(仅便携版支持)。\n- 更改提示音的方法见 Notes 区域(不需要可删除)。\n\n### 上采样技巧:\n- 显存不足时,可降低画幅比例 + 使用另一侧的 SEED VR2,有助于缓解生成问题。\n- **Prescale**(在 Aspect Ratio 节点中):增大生成底图尺寸;**Hi-rez fix 滑块**:控制二次放大的倍率。\n- **Tiled vs. 非 Tiled**:平铺模式会把图像切块,大幅加快处理速度,但牺牲少量质量。建议尽量把平铺参数调高。\n\n### Hi-REZ 上采样:\n- 写实风格推荐:Ultra Sharp、Niclekback 或 Ersgan。\n- 动漫风格推荐:Anime sharp。\n- 显存吃紧时,使用底部滑块增加切块数量(减小单块尺寸),仅用于避免 OOM 或砖块 artifact。\n- [上采样模型下载](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- 如果出现噪点(常由劣质 LoRA 引起),可使用此模型略微改善:[Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n\n### 细节修复器(Detailers):\n- **(仅 ZIT 版本)** ✋ 请确保使用的 checkpoint 与你的风格匹配(写实 / 动漫)。\n- 相应调整 sampler 和 scheduler。\n- 脸部 & 手部检测模型 [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- 眼睛专用 [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo:V8n 与 V8s 的区别?** “n”代表 nano,精度较低但显存占用少。**尽可能使用 S 版本**(尤其脸部细节修复常见问题)。\n\n### 🚫 NSFW 细节修复器(若适用):\n- 如果要生成男性,请关闭女性检测,否则可能出现奇怪结果。\n- ⚠️ 有两种细节修复器:**SEGs** 和 **SAM**,使用的模型不同,装错会报奇怪错误。SEGs 主要用于身体,其余两个适合局部细节。\n- [女性身体检测](https://civitai.com/models/1816953/female-body-detection)\n- [男性生殖器检测](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- 模型需放入 segm 文件夹(见下方路径)。\n- [其他身体部位模型(注意甄别下载内容)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- 如果当前不是 NSFW 版本,想要获取可前往我的 [Civitai 主页](https://civitai.com/user/lonecatone23) 或私信我。\n\n### Seed VR2 上采样器:\n- [观看教学视频](https://www.youtube.com/watch?v=MBtWYXq_r60)\n- 本设置针对低显存优化。高显存用户可关闭 VAE 中的 tiling,然后提高分辨率。\n- Debug 已开启,可观察日志,它会提醒你是否还有余量继续增大。\n\n**自动下载说明**\n- 首次使用时,选中的模型和 VAE 文件会自动下载。\n- ⚠️ 模型较大,下载可能需要几分钟。\n- 请关注控制台日志查看下载进度。\n- 也可手动下载到 📂`ComfyUI\\models\\SEEDVR2` 目录。\n- 模型地址:[这里](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) 和 [这里](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main)。\n\n## ControlNet\n- ⚠️ 绕过(bypass)ControlNet 时,所有开关都会重置。***需要重新逐个设置。***\n- ⚠️ 必须开启 I2I 图片,ControlNet 才会生效。\n\n### 模型补丁(Model patch)\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- 推荐使用 **2.1** 版本\n\n### LUT\n- 可在此免费获取 LUT:[HERE](https://freshluts.com)\n- 文件存放位置见下方\n\n***DING!***(播放声音)\n- 仅便携版支持\n- 自定义声音方法见下方说明\n- 需手动输入文件名(区分大小写)\n\n### 常用节点链接:\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack) \n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n[Use Everywhere](https://github.com/chrisgoringe/cg-use-everywhere) \n\n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3) \n\n\n### 存储路径\n```\n📂 ComfyUI/\n├─📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── LUT 文件\n│ ├── 📂 SEED VR2\n│ │ └── 所有相关文件\n│ ├── 📂 ultralytics\n│ │ └── 📂 segm\n│ │ └── 检测模型文件\n│ ├── 📂 upscale_models\n│ │ └── 上采样模型(Ersgan、Nickelback 等)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3(或其他 .mp3 声音文件)\n```\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1118, + "type": "MarkdownNote", + "pos": [ + -7890, + -2930 + ], + "size": [ + 1100, + 1360 + ], + "flags": { + "pinned": true + }, + "order": 117, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Krea2 notes 260624", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "\n# Instructions\n\n\n\n### Follow me on CivitAi [HERE](https://civitai.com/user/lonecatone23)\n\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n\n### This represents hundreds of hours of work. If you enjoy it, please 👍like, 💬 comment , and feel free to ⚡tip 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n\n## General:\n# 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n### ⚠️ If you get a \"Nonetype:\" error, it's the controlent switches, No image in i2i or mask, or you don't have a sampler turned on. \n### 💾 Save info:\n- NOTHING SAVES UNLESS IT IS TURNED ON! \n- 📂 the folder labels are in the \"Save Group\" if you want to change them.\n- **Save Post Process** saves the final image without Metadata. Use this to enter it manually on CivitAi if teh checkpoint does not show up.\n\n## Model Links \n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF version](https://civitai.red/api/download/models/3069586?fileId=2948449). ⚠️ do not use the other ones found on CivitAI. They are garbage.\n\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - For Image Edit. **Rename after download**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n**🪪 ID EDit LoRA**\n\n- [Krea 2 identity edit v1.2](https://civitai.red/api/download/models/3139172?fileId=3019297)\n\n\n\n**Krea 2 Conditioning Rebalance**\n\n- Removes safety filter for NSFW [HERE](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n### Aspect Ratio Node:\n- Use a preset dimension or your own. If you use your own, make sure to set the preset to \"custom\".\n- Prescale: This will downsize your initial choice, which helps with Low VRAM.\n- Upscale: Attached to SEED VR2\n- Hi rez fix slider: This controls the upscale factor of the hi-rez fix. I typically have it at 1.5 to take pressure off of the SEED Vr2 upscaler.\n### I2I and Florence Prompt Generator:\n- ⚠️ Both I2I and Florence must be on to use I2I.\n- ***Background removal***. It helps if you do ot want background in your prompt or in the controlnet model. Read the istructions for its use in that area. \n- ⚠️ Turn off \"text remove\" if you are removing teh background but not using Florence or you will get a \"text\" error\n- The Controlnet uses the **I2I** image as well, so it must be on.\n\n### Prompt enhancer **Qwen 📝🪄**\n- Use Qwen3-VL-8b-Instruct version\n- This is basically a pruned LLM model that enhances your prompt. Enter the instructions on what it should do. \n- The size of the prompt massively affects the generation speed. I have left two different instruction templates in the \"Notes\" section)\n- 💡If you are having issues with the model not loading or not being found, follow the instructions [HERE](https://github.com/huchukato/ComfyUI-QwenVL-Mod)\n\n## 🛑🚫 Draft Mode:\n- when enabled, it stops the workflow at this point (no hirez, detail, etc.)\n- Draft is saved (if \"Save Draft\" is turned on)\n- Play Sound should ding (on portable version only). \n-Instructions to change the sound are in the notes area. (delete if not needed)\n### Upscale tips and tricks:\n- If you struggle with low VRAM, setting the aspect ratio low and using SEED VR2 on the other side will help generation issues. \n- Prescale: The one in the aspect ratio increases the size of the generation, The slider is for Hi-rez fix. \n- Tiled vs. not tiled: Tiling breaks the image up, greatly speeds up processing time, but sacrifices (a little bit of) quality. Set them as high as possible. \n### Hi-REZ upscale:\n- Use Ultra Sharp, Niclekback, or Ersgan for realism.\n- Use Anime sharp for...well... Anime.\n- If you struggle with VRAM, use the slider at the bottom. It increases the amnount of tiles by decreasing the size. Use it opnly to prevent OOM issues or brick ups. \n- [upscale models](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- If you struggle with noise (often from poorly made Loras), this wil do a slightly better job of cleaning it. [Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n### Detailers:\n- **(ZIT VERSION ONLY)** ✋ Make sure to use a checkpoint that matches your style of work. (i.e. Realism, Anime)\n- Change the sampler and scheduler accordingly.\n- Face & hands detector [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- Eyes [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo: what's the differrence between V8n & V8s?** The \"n\" stands for \"nano\" less accurate but les VRAM. Use S whenever possible. This is typically an issue on the face detailer\n### 🚫 Detailers NSFW (if applicable):\n- Turn off female if you are going to use male or you may get odd results.\n- ⚠️ There are two different types of detailers. The SEGs and the SAM detailers. Each works differently and with different models. You will get a wierd error if you put the wrong model in the SEGs loader. It's mainly for body. Use the other two for specifics\n- [female body detection](https://civitai.com/models/1816953/female-body-detection)\n- [Male Body Parts Detection](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- Place them in the segm foler (see below).\n- [Other body parts (watch what you download)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- If this is not the NSFW Version and you would like it. I should have it on my [Civitai page](https://civitai.com/user/lonecatone23) or message me.\n### Seed VR2 Upscaler:\n- [Watch this video](https://www.youtube.com/watch?v=MBtWYXq_r60).\n- This is set up for low VRAM. For higher VRAM, turn off tiling in the VAE and then increase resolution.\n- Debug is on. If you watch the log, it will warn you or tell you that you have more space top increase. \n*Automatic Downloads*\n- The selected model and VAE files will be downloaded automatically on first use.\n- ⚠️ Because these models are large, the download may take several minutes.\n- Monitor the console log for download progress.\n- Manual download into the 📂`ComfyUI\\models\\SEEDVR2` directory is possible. \n- Models can be found [here](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) and [here](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main).\n## Controlnet\n- ⚠️ When it is bypassed, all of the switches get reset. ***You have to go through and redo them.***\n- ⚠️ Controlnet does not work unless the I2I image is on. \n### Model patch\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- use ver 2.1\n### LUT\n- You can get free LUTs [HERE](https://freshluts.com)\n- See below for folder location \n***DING!*** (play sound)\n- Only works on the portable version for some reason\n- Directions to add your own are below.\n- you have to manually enter the name of the file (case sensitive).\n### Useful Nodes links:\n\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n\n\n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n\n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n\n[Use everywhere nodes](https://github.com/chrisgoringe/cg-use-everywhere)\n\n[JWS Nodes](https://github.com/jamesWalker55/comfyui-various) resize node options (if you can't load it)\n\n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3)\n\n### File Locations\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── Lut files\n│ ├── 📂 SEED VR2\n│ │ └── All files\n│ ├── 📂 uralytics\n│ │ └── 📂 segm\n│ │ └──detection files\n│ ├── 📂 upscale_models\n│ │ └── upscale models (Ersgan, Nickelback, etc.)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3 (or any other .mp3 sound)\n\n\n\n\n\n" + ], + "widgets_values_named": { + "text": "\n# Instructions\n\n\n\n### Follow me on CivitAi [HERE](https://civitai.com/user/lonecatone23)\n\n### Instagram: [synth.studio.models](https://www.instagram.com/synth.studio.models/)\n\n### This represents hundreds of hours of work. If you enjoy it, please 👍like, 💬 comment , and feel free to ⚡tip 😉\n\n## [Buy me a☕](https://ko-fi.com/lonecatone)\n\n\n## General:\n# 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n### ⚠️ If you get a \"Nonetype:\" error, it's the controlent switches, No image in i2i or mask, or you don't have a sampler turned on. \n### 💾 Save info:\n- NOTHING SAVES UNLESS IT IS TURNED ON! \n- 📂 the folder labels are in the \"Save Group\" if you want to change them.\n- **Save Post Process** saves the final image without Metadata. Use this to enter it manually on CivitAi if teh checkpoint does not show up.\n\n## Model Links \n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n- [Krea2_turbo_bf16](https://civitai.red/api/download/models/3064584?fileId=2943406)\n\n- [krea2_raw](https://huggingface.co/krea/Krea-2-Raw/resolve/main/raw.safetensors?download=true)\n\n- [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n- [Animosity](https://civitai.red/models/2596298/animosity)\n\n- [GGUF version](https://civitai.red/api/download/models/3069586?fileId=2948449). ⚠️ do not use the other ones found on CivitAI. They are garbage.\n\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n- [Krea2_real_vae](https://civitai.red/api/download/models/3068442?fileId=2947164)\n\n**loras**\n\n- [Krea-2-Turbo-Projector-Scale-LoRA](https://huggingface.co/Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers/tree/main)\n - For Image Edit. **Rename after download**\n\n**Controlnet LoRA**\n\n- [Krea 2 depth controlnet LoRA](https://huggingface.co/Patil/Krea-2-depth-controlnet/resolve/main/depth-control-lora.safetensors?download=true)\n\n**🪪 ID EDit LoRA**\n\n- [Krea 2 identity edit v1.2](https://civitai.red/api/download/models/3139172?fileId=3019297)\n\n\n\n**Krea 2 Conditioning Rebalance**\n\n- Removes safety filter for NSFW [HERE](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n\n**LC-123 Node Repo**\n\n- [https://github.com/lonecatone23/ComfyUI_LC123_nodes](https://github.com/lonecatone23/ComfyUI_LC123_nodes)\n\n### Aspect Ratio Node:\n- Use a preset dimension or your own. If you use your own, make sure to set the preset to \"custom\".\n- Prescale: This will downsize your initial choice, which helps with Low VRAM.\n- Upscale: Attached to SEED VR2\n- Hi rez fix slider: This controls the upscale factor of the hi-rez fix. I typically have it at 1.5 to take pressure off of the SEED Vr2 upscaler.\n### I2I and Florence Prompt Generator:\n- ⚠️ Both I2I and Florence must be on to use I2I.\n- ***Background removal***. It helps if you do ot want background in your prompt or in the controlnet model. Read the istructions for its use in that area. \n- ⚠️ Turn off \"text remove\" if you are removing teh background but not using Florence or you will get a \"text\" error\n- The Controlnet uses the **I2I** image as well, so it must be on.\n\n### Prompt enhancer **Qwen 📝🪄**\n- Use Qwen3-VL-8b-Instruct version\n- This is basically a pruned LLM model that enhances your prompt. Enter the instructions on what it should do. \n- The size of the prompt massively affects the generation speed. I have left two different instruction templates in the \"Notes\" section)\n- 💡If you are having issues with the model not loading or not being found, follow the instructions [HERE](https://github.com/huchukato/ComfyUI-QwenVL-Mod)\n\n## 🛑🚫 Draft Mode:\n- when enabled, it stops the workflow at this point (no hirez, detail, etc.)\n- Draft is saved (if \"Save Draft\" is turned on)\n- Play Sound should ding (on portable version only). \n-Instructions to change the sound are in the notes area. (delete if not needed)\n### Upscale tips and tricks:\n- If you struggle with low VRAM, setting the aspect ratio low and using SEED VR2 on the other side will help generation issues. \n- Prescale: The one in the aspect ratio increases the size of the generation, The slider is for Hi-rez fix. \n- Tiled vs. not tiled: Tiling breaks the image up, greatly speeds up processing time, but sacrifices (a little bit of) quality. Set them as high as possible. \n### Hi-REZ upscale:\n- Use Ultra Sharp, Niclekback, or Ersgan for realism.\n- Use Anime sharp for...well... Anime.\n- If you struggle with VRAM, use the slider at the bottom. It increases the amnount of tiles by decreasing the size. Use it opnly to prevent OOM issues or brick ups. \n- [upscale models](https://huggingface.co/uwg/upscaler/tree/main/ESRGAN)\n- If you struggle with noise (often from poorly made Loras), this wil do a slightly better job of cleaning it. [Denoise Model](https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth)\n### Detailers:\n- **(ZIT VERSION ONLY)** ✋ Make sure to use a checkpoint that matches your style of work. (i.e. Realism, Anime)\n- Change the sampler and scheduler accordingly.\n- Face & hands detector [here](https://huggingface.co/Bingsu/adetailer/tree/main)\n- Eyes [here](https://huggingface.co/jayr23/Eyeful/tree/main)\n- **Yolo: what's the differrence between V8n & V8s?** The \"n\" stands for \"nano\" less accurate but les VRAM. Use S whenever possible. This is typically an issue on the face detailer\n### 🚫 Detailers NSFW (if applicable):\n- Turn off female if you are going to use male or you may get odd results.\n- ⚠️ There are two different types of detailers. The SEGs and the SAM detailers. Each works differently and with different models. You will get a wierd error if you put the wrong model in the SEGs loader. It's mainly for body. Use the other two for specifics\n- [female body detection](https://civitai.com/models/1816953/female-body-detection)\n- [Male Body Parts Detection](https://civitai.com/models/301092/cock-and-ball-detection-adetailer)\n- Place them in the segm foler (see below).\n- [Other body parts (watch what you download)](https://huggingface.co/ashllay/YOLO_Models/tree/main/bbox)\n- If this is not the NSFW Version and you would like it. I should have it on my [Civitai page](https://civitai.com/user/lonecatone23) or message me.\n### Seed VR2 Upscaler:\n- [Watch this video](https://www.youtube.com/watch?v=MBtWYXq_r60).\n- This is set up for low VRAM. For higher VRAM, turn off tiling in the VAE and then increase resolution.\n- Debug is on. If you watch the log, it will warn you or tell you that you have more space top increase. \n*Automatic Downloads*\n- The selected model and VAE files will be downloaded automatically on first use.\n- ⚠️ Because these models are large, the download may take several minutes.\n- Monitor the console log for download progress.\n- Manual download into the 📂`ComfyUI\\models\\SEEDVR2` directory is possible. \n- Models can be found [here](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) and [here](https://huggingface.co/AInVFX/SeedVR2_comfyUI/tree/main).\n## Controlnet\n- ⚠️ When it is bypassed, all of the switches get reset. ***You have to go through and redo them.***\n- ⚠️ Controlnet does not work unless the I2I image is on. \n### Model patch\n- [https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/tree/main)\n- use ver 2.1\n### LUT\n- You can get free LUTs [HERE](https://freshluts.com)\n- See below for folder location \n***DING!*** (play sound)\n- Only works on the portable version for some reason\n- Directions to add your own are below.\n- you have to manually enter the name of the file (case sensitive).\n### Useful Nodes links:\n\n[Crystools](https://github.com/crystian/ComfyUI-Crystools) \n\n\n[Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n\n[RG Three nodes](https://github.com/rgthree/rgthree-comfy) \n\n[Use everywhere nodes](https://github.com/chrisgoringe/cg-use-everywhere)\n\n[JWS Nodes](https://github.com/jamesWalker55/comfyui-various) resize node options (if you can't load it)\n\n[SAM3 Nodes](https://github.com/wouterverweirder/comfyui_sam3)\n\n### File Locations\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── all Loras\n│ ├── 📂 luts\n│ │ └── Lut files\n│ ├── 📂 SEED VR2\n│ │ └── All files\n│ ├── 📂 uralytics\n│ │ └── 📂 segm\n│ │ └──detection files\n│ ├── 📂 upscale_models\n│ │ └── upscale models (Ersgan, Nickelback, etc.)\n│── 📂 custom_nodes\n│ ├── 📂 comfyui-custom-scripts\n│ │ └── 📂 web\n│ │ └──📂 js\n│ │ └──📂 assets\n│ │ └──notify.mp3 (or any other .mp3 sound)\n\n\n\n\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3391, + "type": "LCSaveImageMetadata", + "pos": [ + -4230, + -4560 + ], + "size": [ + 400, + 430 + ], + "flags": { + "collapsed": true + }, + "order": 245, + "mode": 0, + "inputs": [ + { + "name": "pipe", + "shape": 7, + "type": "LC_PIPE", + "link": 46337 + }, + { + "name": "positive", + "shape": 7, + "type": "STRING", + "widget": { + "name": "positive" + }, + "link": 46338 + } + ], + "outputs": [ + { + "name": "metadata", + "type": "LC_SAVE_META", + "links": [ + 46340 + ] + }, + { + "name": "parameters", + "type": "STRING", + "links": null + } + ], + "properties": { 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Encoder:** [Qwen3 VL 4B Heretic](https://huggingface.co/Kutches/Kr3a/blob/main/qwen3VLInstruct4bHeretic_v10.safetensors)\n* **VAE:** [Qwen Image VAE](https://civitai.com/models/1912333/qwen-image-vae)\n" + }, + "color": "#8050d3", + "bgcolor": "#322b3e" + }, + { + "id": 236, + "type": "MarkdownNote", + "pos": [ + -900, + 280 + ], + "size": [ + 350, + 100 + ], + "flags": {}, + "order": 5, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Flux Models", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "### 🚀 FLUX UPSCALE MODELS\n\n* **UNET:** [snofsSexNudesAndOtherFunStuff v1.4 Distilled](https://civitai.red/api/download/models/2985440?fileId=2867344)\n* **CLIP:** [Huihui Qwen3 8B Abliterated v2 FP8](https://huggingface.co/YifeiDevs/Huihui-Qwen3-8B-abliterated-v2-FP8-Comfy/resolve/main/Huihui-Qwen3-8B-abliterated-v2-FP8.safetensors?download=true)\n* **VAE:** [Flux2 VAE](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\n* **Upscale LoRA:** [Flux2 Klein Image Restore V1](https://civitai.com/models/2474084)" + ], + "widgets_values_named": { + "text": "### 🚀 FLUX UPSCALE MODELS\n\n* **UNET:** [snofsSexNudesAndOtherFunStuff v1.4 Distilled](https://civitai.red/api/download/models/2985440?fileId=2867344)\n* **CLIP:** [Huihui Qwen3 8B Abliterated v2 FP8](https://huggingface.co/YifeiDevs/Huihui-Qwen3-8B-abliterated-v2-FP8-Comfy/resolve/main/Huihui-Qwen3-8B-abliterated-v2-FP8.safetensors?download=true)\n* **VAE:** [Flux2 VAE](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\n* **Upscale LoRA:** [Flux2 Klein Image Restore V1](https://civitai.com/models/2474084)" + }, + "color": "#8050d3", + "bgcolor": "#322b3e" + }, + { + "id": 229, + "type": "Label (rgthree)", + "pos": [ + 1080, + 740 + ], + "size": [ + 325.72796630859375, + 52 + ], + "flags": { + 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"swap_io_components", + "shape": 7, + "type": "BOOLEAN", + "widget": { + "name": "swap_io_components" + }, + "link": null + }, + { + "label": "offload_device", + "name": "offload_device", + "shape": 7, + "type": "COMBO", + "widget": { + "name": "offload_device" + }, + "link": null + }, + { + "label": "cache_model", + "name": "cache_model", + "shape": 7, + "type": "BOOLEAN", + "widget": { + "name": "cache_model" + }, + "link": null + }, + { + "label": "attention_mode", + "name": "attention_mode", + "shape": 7, + "type": "COMBO", + "widget": { + "name": "attention_mode" + }, + "link": null + } + ], + "outputs": [ + { + "label": "dit", + "name": "SEEDVR2_DIT", + "type": "SEEDVR2_DIT", + "links": [ + 415 + ] + } + ], + "properties": { + "cnr_id": "seedvr2_videoupscaler", + "ver": "2.5.22", + "Node name for S&R": "SeedVR2LoadDiTModel", + "ue_properties": { + "version": "7.3", + "widget_ue_connectable": {}, + "input_ue_unconnectable": {} + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "widgets_values": [ + "seedvr2_ema_7b_sharp_fp8_e4m3fn_mixed_block35_fp16.safetensors", + "cuda:0", + 36, + true, + "cpu", + "sdpa", + "sdpa" + ], + "widgets_values_named": { + "model": "seedvr2_ema_7b_sharp_fp8_e4m3fn_mixed_block35_fp16.safetensors", + "device": "cuda:0", + "blocks_to_swap": 36, + "swap_io_components": true, + "offload_device": "cpu", + "cache_model": "sdpa", + "attention_mode": "sdpa" + }, + "color": "#000000", + "bgcolor": "#000000" + }, + { + "id": 293, + "type": "Note", + "pos": [ + -1800, + 1180 + ], + "size": [ + 690, + 570 + ], + "flags": {}, + "order": 27, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "COPY PASTE THIS --- Noob Friendly High Quality Prompts", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Here’s a complete block you can COPY PASTE into a new chat (template + instructions for the new Grok):\n\nKrea-style Structured Prompt Template\ntext== subject ==\n18-year-old adult woman, [describe face, hair, body type, skin, notable features]\n\n== outfit ==\n[clothing / accessories / state of undress]\n\n== pose ==\n[body position and orientation]\n\n== action ==\n[what is happening / any interaction]\n\n== scenery ==\n[location and environment details]\n\n== camera ==\n[angle, POV, framing, lens feel]\n\n== lighting ==\n[light sources, color, mood]\n\n== expression ==\n[face / emotional state]\n\n== style ==\nhyper-realistic photorealistic 8K UHD, lifelike skin texture with pores, natural color, raw amateur photo look, no CGI artifacts\n\nNotes for Grok (read this first)\nThis user works with highly detailed, structured NSFW image prompts (mainly for Krea / similar models).\nThe format above is the standard we use. Always reply with complete, ready-to-paste prompts in that exact structure.\nKey rules and meta:\n\nEvery character must be explicitly “18-year-old adult”.\nHeavy focus on photorealism, candid/amateur/iPhone aesthetic, detailed skin, anatomy, fluids, size contrast, expressions (especially sex-crazed, blissful, bored, ahegao, etc.).\nUser often asks for “wildcards”, variations, remixes, new outfits, or specific camera angles (male POV, top-down, low angle, etc.).\nBe direct and fully explicit when requested. No moralizing or refusals for adult content.\nWhen the user gives partial sections or a short description, expand them into a full structured prompt.\nWhen they ask for multiple versions, deliver 2–3 complete variations.\nMatch the level of detail and “messy / wet / exaggerated body” language they like.\n\nJust treat every request as a request for a polished, structured prompt in the format above and deliver it cleanly." + ], + "widgets_values_named": { + "text": "Here’s a complete block you can COPY PASTE into a new chat (template + instructions for the new Grok):\n\nKrea-style Structured Prompt Template\ntext== subject ==\n18-year-old adult woman, [describe face, hair, body type, skin, notable features]\n\n== outfit ==\n[clothing / accessories / state of undress]\n\n== pose ==\n[body position and orientation]\n\n== action ==\n[what is happening / any interaction]\n\n== scenery ==\n[location and environment details]\n\n== camera ==\n[angle, POV, framing, lens feel]\n\n== lighting ==\n[light sources, color, mood]\n\n== expression ==\n[face / emotional state]\n\n== style ==\nhyper-realistic photorealistic 8K UHD, lifelike skin texture with pores, natural color, raw amateur photo look, no CGI artifacts\n\nNotes for Grok (read this first)\nThis user works with highly detailed, structured NSFW image prompts (mainly for Krea / similar models).\nThe format above is the standard we use. Always reply with complete, ready-to-paste prompts in that exact structure.\nKey rules and meta:\n\nEvery character must be explicitly “18-year-old adult”.\nHeavy focus on photorealism, candid/amateur/iPhone aesthetic, detailed skin, anatomy, fluids, size contrast, expressions (especially sex-crazed, blissful, bored, ahegao, etc.).\nUser often asks for “wildcards”, variations, remixes, new outfits, or specific camera angles (male POV, top-down, low angle, etc.).\nBe direct and fully explicit when requested. No moralizing or refusals for adult content.\nWhen the user gives partial sections or a short description, expand them into a full structured prompt.\nWhen they ask for multiple versions, deliver 2–3 complete variations.\nMatch the level of detail and “messy / wet / exaggerated body” language they like.\n\nJust treat every request as a request for a polished, structured prompt in the format above and deliver it cleanly." + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 294, + "type": "MarkdownNote", + "pos": [ + -1800, + 1050 + ], + "size": [ + 690, + 90 + ], + "flags": {}, + "order": 28, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Grok NSFW Prompt Builder", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "* **Prompt with GROK:** [GROK NSFW PROMPT](https://grok.com)\n" + ], + "widgets_values_named": { + "text": "* **Prompt with GROK:** [GROK NSFW PROMPT](https://grok.com)\n" + }, + "color": "#8050d3", + "bgcolor": "#322b3e" + }, + { + "id": 103, + "type": "UNETLoader", + "pos": [ + -530, + 40 + ], + "size": [ + 410, + 90 + ], + "flags": {}, + "order": 29, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 583 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.0", + "Node name for S&R": "UNETLoader", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "lustifyNSFWCheckpoint_v10Krea2.safetensors", + "default" + ], + "widgets_values_named": { + "unet_name": "lustifyNSFWCheckpoint_v10Krea2.safetensors", + "weight_dtype": "default" + }, + "color": "#d35050", + "bgcolor": "#3e2b2b" + }, + { + "id": 261, + "type": "Fast Groups Bypasser (rgthree)", + "pos": [ + 1080, + 680 + ], + "size": [ + 320, + 60 + ], + "flags": {}, + "order": 30, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": [] + } + ], + "title": "BYPASS", + "properties": { + "matchColors": "Black", + "matchTitle": "", + "showNav": true, + "showAllGraphs": true, + "sort": "position", + "customSortAlphabet": "", + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#9c7bd5", + "bgcolor": "#36313f" + }, + { + "id": 222, + "type": "2ba838f8-b5fd-4d1e-84da-f04c99c067b6", + "pos": [ + 1090, + 920 + ], + "size": [ + 300, + 700 + ], + "flags": {}, + "order": 52, + "mode": 0, + "inputs": [ + { + "label": "Upscale", + "name": "image", + "type": "IMAGE", + "link": 475 + }, + { + "label": "Upscale", + "name": "scale_by", + "type": "FLOAT", + "widget": { + "name": "scale_by" + }, + "link": null + } + ], + "outputs": [ + { + "label": "IMAGE", + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 444 + ] + }, + { + "name": "output", + "type": "LATENT", + "links": [ + 420 + ] + }, + { + "name": "VAE", + "type": "VAE", + "links": [ + 421 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.0", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "previewExposures": [] + }, + "widgets_values": [ + "background changes, warped anatomy, shifted lighting, distorted textures, inconsistent environment", + "Clean, high-resolution restore. Smooth, sharp contours, pristine skin texture. Perfect micro-details on all surfaces with absolute clarity.", + "snofsSexNudesAndOtherFunStuff_v14Distilled.safetensors", + "Huihui-Qwen3-8B-abliterated-v2-FP8.safetensors", + "flux2-vae.safetensors", + "Flux Klein 9B\\Flux2-Klein-Image-RestoreV1.safetensors", + 1.2533331298828128 + ], + "widgets_values_named": { + "text": "background changes, warped anatomy, shifted lighting, distorted textures, inconsistent environment", + "text_1": "Clean, high-resolution restore. Smooth, sharp contours, pristine skin texture. 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"title": "Saving Compared", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "Krea 2" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 814, + "type": "VAEDecode", + "pos": [ + 790, + -1300 + ], + "size": [ + 140, + 50 + ], + "flags": { + "collapsed": true + }, + "order": 28, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 1505 + }, + { + "name": "vae", + "type": "VAE", + "link": 1507 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 2071, + 2072, + 2180 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "VAEDecode" + }, + "widgets_values": [], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 813, + "type": "ImageConcatMulti", + "pos": [ + 1190, + -1300 + ], + "size": [ + 270, + 190 + ], + "flags": { + "collapsed": true + }, + "order": 29, + "mode": 0, + "inputs": [ + { + "name": "image_1", + "type": "IMAGE,MASK", + "link": 1503 + }, + { + "name": "image_2", + "shape": 7, + "type": "IMAGE,MASK", + "link": 2071 + } + ], + "outputs": [ + { + "name": "output", + "type": "IMAGE", + "links": [ + 1500 + ] + } + ], + "properties": { + "cnr_id": "comfyui-kjnodes", + "ver": "bc8e4ce4254bcd0050383386ee2f9d753dbf1fa5" + }, + "widgets_values": [ + 2, + "right", + false, + null + ] + }, + { + "id": 17, + "type": "LoadImage", + "pos": [ + -1390, + -830 + ], + "size": [ + 230, + 440 + ], + "flags": { + "collapsed": false + }, + "order": 6, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 1119, + 1503, + 1728, + 2073 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": null + } + ], + "title": "Input Image", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "LoadImage" + }, + "widgets_values": [ + "example.png", + "image" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 3, + "type": "CLIPLoader", + "pos": [ + -1940, + -1160 + ], + "size": [ + 270, + 110 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "CLIP", + "type": "CLIP", + "links": [ + 15 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "CLIPLoader" + }, + "widgets_values": [ + "qwen3vl_4b_bf16.safetensors", + "krea2", + "default" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 590, + "type": "FloatConstant", + "pos": [ + -890, + -920 + ], + "size": [ + 210, + 60 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "value", + "type": "FLOAT", + "links": [ + 1512 + ] + } + ], + "title": "Noise Amount", + "properties": { + "cnr_id": "comfyui-kjnodes", + "ver": "bc8e4ce4254bcd0050383386ee2f9d753dbf1fa5", + "Node name for S&R": "FloatConstant" + }, + "widgets_values": [ + 0.6 + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 607, + "type": "MarkdownNote", + "pos": [ + -890, + -800 + ], + "size": [ + 250, + 150 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Noise Amount", + "properties": {}, + "widgets_values": [ + "This affects the balance between the source image and generated image. The higher the value, the more the samplers overwrite the input image.\n\n0.6 is a good starting point. \nYou can move it higher for more realism (1.0 will fully replace the reference image), and lower to retain more of the image." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1187, + "type": "MarkdownNote", + "pos": [ + -1960, + -1540 + ], + "size": [ + 290, + 150 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About Models", + "properties": {}, + "widgets_values": [ + "To get the best realistic style transfer you need to use the Raw model with the Turbo LoRA at 0.6 strength.\n\nThis is because more than 1 CFG is needed to disable certain stylized concepts through negative prompting, when the turbo model is limited to 1 CFG.\n\nUsing the Raw model with the Turbo LoRA at 0.6 strength instead allows us to use 2 CFG, solving this problem." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1196, + "type": "MarkdownNote", + "pos": [ + -180, + -1060 + ], + "size": [ + 230, + 110 + ], + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about User Prompt", + "properties": {}, + "widgets_values": [ + "The user prompt is used to explain how you want Krea 2 to change the input image." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 747, + "type": "PrimitiveStringMultiline", + "pos": [ + -430, + -1300 + ], + "size": [ + 210, + 90 + ], + "flags": { + "collapsed": false + }, + "order": 12, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 1380 + ] + } + ], + "title": "Negative Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "PrimitiveStringMultiline" + }, + "widgets_values": [ + "watermark, blurry, ugly, bad, anime, cartoon, illustration" + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 809, + "type": "ClownsharKSampler_Beta", + "pos": [ + 650, + -1270 + ], + "size": [ + 270, + 420 + ], + "flags": { + "collapsed": false + }, + "order": 27, + "mode": 0, + "inputs": [ + { + "name": "model", + "shape": 7, + "type": "MODEL", + "link": 2197 + }, + { + "name": "positive", + "shape": 7, + "type": "CONDITIONING", + "link": 2194 + }, + { + "name": "negative", + "shape": 7, + "type": "CONDITIONING", + "link": 1498 + }, + { + "name": "latent_image", + "shape": 7, + "type": "LATENT", + "link": 1494 + }, + { + "name": "sigmas", + "shape": 7, + "type": "SIGMAS", + "link": null + }, + { + "name": "guides", + "shape": 7, + "type": "GUIDES", + "link": null + }, + { + "name": "options", + "shape": 7, + "type": "OPTIONS", + "link": null + }, + { + "name": "cfg", + "type": "FLOAT", + "widget": { + "name": "cfg" + }, + "link": 1514 + }, + { + "name": "seed", + "type": "INT", + "widget": { + "name": "seed" + }, + "link": 1511 + } + ], + "outputs": [ + { + "name": "output", + "type": "LATENT", + "links": [ + 1505 + ] + }, + { + "name": "denoised", + "type": "LATENT", + "links": null + }, + { + "name": "options", + "type": "OPTIONS", + "links": null + } + ], + "properties": { + "cnr_id": "RES4LYF", + "ver": "0dc91c00c4c3fb38e7874fcd7a2a327765e8882c", + "Node name for S&R": "ClownsharKSampler_Beta", + "aux_id": "ClownsharkBatwing/RES4LYF" + }, + "widgets_values": [ + 0.5, + "multistep/deis_3m", + "bong_tangent", + 2, + -1, + 0.2, + 1, + 1091896245583278, + "randomize", + "standard", + true + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 11, + "type": "CLIPTextEncode", + "pos": [ + -380, + -1180 + ], + "size": [ + 220, + 90 + ], + "flags": { + "collapsed": true + }, + "order": 24, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 2115 + }, + { + "name": "text", + "type": "STRING", + "widget": { + "name": "text" + }, + "link": 1380 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 1497, + 1498 + ] + } + ], + "title": "Negative Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "" + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 1188, + "type": "MarkdownNote", + "pos": [ + -2460, + -1340 + ], + "size": [ + 480, + 520 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model Links", + "properties": {}, + "widgets_values": [ + "## Model Links \n\n\n**diffusion_models**\n\n- [Krea 2 Models](https://huggingface.co/Comfy-Org/Krea-2/tree/main/diffusion_models) \n\n**text_encoders**\n- [bf16 text encoder](https://huggingface.co/Comfy-Org/Qwen3-VL/blob/main/text_encoders/qwen3vl_4b_bf16.safetensors) better than fp8 but larger\n- [fp8 text encoder](https://huggingface.co/Comfy-Org/Qwen3-VL/blob/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors) \n\n- [Abliterated text encoder](https://huggingface.co/ahmed22xa/Huihui-Qwen3-VL-4B-Instruct-abliterated-comfy/tree/main) is an uncensored text encoder that might give better results for certain images.\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [TextFusion Refusal](https://civitai.com/models/2775340/krea2-textfusion-refusal-reduction-lora?modelVersionId=3125118)\n- [Turbo LoRA](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_turbo_lora_rank_64_bf16.safetensors) this is only needed if you use the Raw model (recommended for this workflow).\n\n**custom nodes**\n\n- [Krea2TexTEncoder](https://github.com/ethanfel/ComfyUI-Krea2TextEncoder)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2 model file\n│ ├── 📂 text_encoders/\n│ │ └── qwen text encoder files\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── LoRA files\n```\n\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 641, + "type": "Krea2SystemPrompt", + "pos": [ + -160, + -1290 + ], + "size": [ + 210, + 160 + ], + "flags": { + "collapsed": true + }, + "order": 14, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "system_prompt", + "type": "STRING", + "links": [ + 1203 + ] + } + ], + "properties": { + "cnr_id": "comfyui-krea2-text-encoder", + "ver": "38da10b0d4655098d867c14af10093baa76a85c4", + "Node name for S&R": "Krea2SystemPrompt" + }, + "widgets_values": [ + "Describe the key features of the reference image (color, shape, size, texture, objects, background), then explain how the user's instruction should combine with or alter it, and generate a new image meeting the instruction while staying consistent with the reference where appropriate: " + ], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 1193, + "type": "MarkdownNote", + "pos": [ + -460, + -1020 + ], + "size": [ + 250, + 100 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about CFG", + "properties": {}, + "widgets_values": [ + "CFG at 2.0 enables negative prompting which gives better realistic style transfer.\n\nHowever, it also doubles generation times and isn't always necessary, so you might be able to get by setting it to 1. " + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1195, + "type": "MarkdownNote", + "pos": [ + -140, + -1870 + ], + "size": [ + 430, + 470 + ], + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About this Workflow", + "properties": {}, + "widgets_values": [ + "The intent of this workflow is to have Krea 2 convert stylized images into a realistic ones while retaining their composition and creative features.\n\nThe reason I put this together is that realism models are inherently not as expressive as stylized ones, and tend to lack diversity in anatomy and faces. But what I found is that by denoising Krea 2 over a stylized image, I could get a realistic-looking image while retaining those features.\n\nThe result is something that tends to look better than what Krea 2 is able to create through prompting alone.\n\n_________\n\nHowever, a difficulty with this approach is that the results depend on how well you can prompt for a realistic styled image that closely matches the input image. And prompting that from scratch is very difficult. \n\nLuckily Krea 2 uses a text encoder that's also a vision language model, which can be used to both interpret images and build prompts. \n\nThe typical approach involves using this to generate text for you to paste into the prompt. But this also involves instructing it with an ideal system prompt. And no matter how well I've tried to configure these, I haven't been able to get one that works universally. \n\nThe approach we take instead with this workflow is to use the [Krea2TexTEncoder](https://github.com/ethanfel/ComfyUI-Krea2TextEncoder) node which instead incorporates its vision directly into the conditioning to avoid the loss that comes from vision -> text. \n\nThis allows the model to produce a much more accurate recreation of the image. But it also lessens user control, as it will inject its full understanding of the image into the prompt, and you can't see or adjust this. \n\nWe can tweak its output somewhat with the user prompt, but it's impossible to fully prevent it from injecting stylized features from the image. \n\nTo get around that I find negative prompting is needed, which requires more than 1 CFG.\n\n\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 41, + "type": "easy string", + "pos": [ + -890, + -1300 + ], + "size": [ + 270, + 60 + ], + "flags": {}, + "order": 17, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "string", + "type": "STRING", + "links": [ + 73 + ] + } + ], + "title": "Saving :: Folder Name", + "properties": { + "cnr_id": "comfyui-easy-use", + "ver": "1.3.6", + "Node name for S&R": "easy string" + }, + "widgets_values": [ + "Krea 2" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 40, + "type": "StringConcatenate", + "pos": [ + -600, + -1300 + ], + 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Your task is to expand the user's prompt into a highly effective image-generation prompt.\n\nThink step by step about the request before writing the answer:\n- What is the subject and mood?\n- What visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\n- What composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\n\nFollow these rules strictly:\n1. **Faithfulness First:** Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\n2. **Practical T2I Structure:** Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\n3. **Style Planning Stays Internal:** Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\n4. **Avoid Over-Specification:** Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\n5. **Structure:** Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\n6. **Respect Existing Detail:** If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding — preserve their phrasing and direction.\n7. **Convert image into Realistic descriptions:** Change things like \"digital illustration\" and \"semi-realistic\" into realistic styled descriptors like \"realistic\" and \"realistic photograph\"\n8. Reference the included image in improving this prompt.\n\nUser's Input:\n" + ] + }, + { + "id": 664, + "type": "StringConcatenate", + "pos": [ + -900, + -1890 + ], + "size": [ + 400, + 200 + ], + "flags": { + "collapsed": true + }, + "order": 23, + "mode": 4, + "inputs": [ + { + "name": "string_a", + "type": "STRING", + "widget": { + "name": "string_a" + }, + "link": 1271 + }, + { + "name": "string_b", + "type": "STRING", + "widget": { + "name": "string_b" + }, + "link": 1273 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 1272 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "StringConcatenate" + }, + "widgets_values": [ + "", + "", + "" + ] + }, + { + "id": 38, + "type": "Power Lora Loader (rgthree)", + "pos": [ + -1460, + -1150 + ], + "size": [ + 350, + 220 + ], + "flags": { + "collapsed": false + }, + "order": 27, + "mode": 0, + "inputs": [ + { + "dir": 3, + "name": "model", + "type": "MODEL", + "link": 1247 + }, + { + "dir": 3, + "name": "clip", + "type": "CLIP", + "link": 1248 + } + ], + "outputs": [ + { + "dir": 4, + "name": "MODEL", + "shape": 3, + "type": "MODEL", + "links": [ + 1255 + ] + }, + { + "dir": 4, + "name": "CLIP", + "shape": 3, + "type": "CLIP", + "links": [ + 1256 + ] + } + ], + "title": "LoRAs", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "1.0.2606200020", + "Show Strengths": "Single Strength", + "Match": "" + }, + "widgets_values": [ + {}, + { + "type": "PowerLoraLoaderHeaderWidget" + }, + {}, + "" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 13, + "type": "Power Lora Loader (rgthree)", + "pos": [ + -1820, + -1150 + ], + "size": [ + 340, + 220 + ], + "flags": {}, + "order": 24, + "mode": 0, + "inputs": [ + { + "dir": 3, + "name": "model", + "type": "MODEL", + "link": 13 + }, + { + "dir": 3, + "name": "clip", + "type": "CLIP", + "link": 15 + } + ], + "outputs": [ + { + "dir": 4, + "name": "MODEL", + "shape": 3, + "type": "MODEL", + "links": [ + 1247 + ] + }, + { + "dir": 4, + "name": "CLIP", + "shape": 3, + "type": "CLIP", + "links": [ + 1248 + ] + } + ], + "title": "Utility LoRAs", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "1.0.2606200020", + "Show Strengths": "Single Strength", + "Match": "" + }, + "widgets_values": [ + {}, + { + "type": "PowerLoraLoaderHeaderWidget" + }, + { + "on": true, + "lora": "Krea 2\\krea2_turbo_lora_rank_64_bf16.safetensors", + "strength": 0.6, + "strengthTwo": null + }, + { + "on": true, + "lora": "Krea 2\\krea2filterbypass.safetensors", + "strength": 1, + "strengthTwo": null + }, + {}, + "" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 605, + "type": "MarkdownNote", + "pos": [ + -830, + -2300 + ], + "size": [ + 380, + 300 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Prompt Generation", + "properties": {}, + "widgets_values": [ + "Because manually prompting the contents of the image can be so difficult, I've provided two optional prompt generation approaches you can take here.\n\n- The Automatic Image Prompting section uses the already loaded Qwen CLIP to analyze the image internally, never producing a text prompt. This is normally intended as a pseudo image-to-image output (as Florence 2 lacks true I2I), but also serves our purposes well as we're able to use it to generate realistic style conversions.\n- However, a downside here is that since it never produces a text prompt, we're not able to see or tweak what it's doing. Even so, it does a reasonable job, and is the best option for quick anime-to-real style conversion.\n
\n\n- The Prompt Generation section also uses the already loaded Qwen CLIP to analyze the image to produce a prompt.\n- For NSFW prompts, you will need the [Abliterated text encoder](https://huggingface.co/ahmed22xa/Huihui-Qwen3-VL-4B-Instruct-abliterated-comfy/tree/main), as the normal text encoder is censored.\n- This is intended to be ran individually and manually, by clicking on the \"preview as text\" node and pressing run, and then copy-pasting that into the positive prompt and cleaning it up before running the rest of the workflow.\n
\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 642, + "type": "MarkdownNote", + "pos": [ + -360, + -2640 + ], + "size": [ + 280, + 130 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About Configuring This Prompt", + "properties": {}, + "widgets_values": [ + "Altering the System Prompt doesn't have any meaningful effect, no matter how differently you try to word it.\n\nThe only way to steer the output here is the user prompt section, describing what you want to change about the image.\n\nIn our case, that's making it more realistic." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 606, + "type": "MarkdownNote", + "pos": [ + -390, + -2160 + ], + "size": [ + 230, + 90 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about these nodes", + "properties": {}, + "widgets_values": [ + "If you want to use these, you may need to download the nodes from the [github page](https://github.com/ethanfel/ComfyUI-Krea2TextEncoder)\n\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 660, + "type": "MarkdownNote", + "pos": [ + 90, + -800 + ], + "size": [ + 210, + 120 + ], + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Samplers", + "properties": {}, + "widgets_values": [ + "I've provided two k-sampler setups you can use in this workflow. A basic one. And a 2-pass advanced one to get the best quality.\n\nBy default I've disabled the 2-pass k-sampler. To enable it, select the nodes and Ctrl+B" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 10, + "type": "CLIPTextEncode", + "pos": [ + -50, + -1850 + ], + "size": [ + 430, + 350 + ], + "flags": { + "collapsed": false + }, + "order": 32, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 1116 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 1268 + ] + } + ], + "title": "Positive Prompt (Manual)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 574, + "type": "SetNode", + "pos": [ + 640, + -2070 + ], + "size": [ + 230, + 60 + ], + "flags": {}, + "order": 36, + "mode": 0, + "inputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "link": 1268 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": null + } + ], + "title": "Set_pos", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "pos" + }, + "widgets_values": [ + "pos" + ], + "color": "#332922", + "bgcolor": "#593930" + }, + { + "id": 600, + "type": "Fast Groups Bypasser (rgthree)", + "pos": [ + -1230, + -1330 + ], + "size": [ + 290, + 70 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "properties": { + "matchColors": "blue", + "matchTitle": "", + "showNav": true, + "showAllGraphs": true, + "sort": "position", + "customSortAlphabet": "", + "toggleRestriction": "default" + }, + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 663, + "type": "MarkdownNote", + "pos": [ + -2670, + -1360 + ], + "size": [ + 480, + 520 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model Links", + "properties": {}, + "widgets_values": [ + "## Model Links \n\n\n**diffusion_models**\n\n- [Krea 2 Models](https://huggingface.co/Comfy-Org/Krea-2/tree/main/diffusion_models) \n\n**text_encoders**\n- [bf16 text encoder](https://huggingface.co/Comfy-Org/Qwen3-VL/blob/main/text_encoders/qwen3vl_4b_bf16.safetensors) better than fp8 but larger\n- [fp8 text encoder](https://huggingface.co/Comfy-Org/Qwen3-VL/blob/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors) \n\n- [Abliterated text encoder](https://huggingface.co/ahmed22xa/Huihui-Qwen3-VL-4B-Instruct-abliterated-comfy/tree/main) can be used instead if you want to do NSFW prompt gens (normal text encoders are censored) \n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [Filter Bypass](https://civitai.com/models/2728234/krea2filterbypass?modelVersionId=3066812)\n- [Turbo LoRA](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_turbo_lora_rank_64_bf16.safetensors) this is only needed if you use the Raw model.\n\n**custom nodes**\n\n- [Krea2TexTEncoder](https://github.com/ethanfel/ComfyUI-Krea2TextEncoder)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2 model file\n│ ├── 📂 text_encoders/\n│ │ └── qwen text encoder files\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── LoRA files\n```\n\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 659, + "type": "MarkdownNote", + "pos": [ + -1830, + -1330 + ], + "size": [ + 340, + 110 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Models", + "properties": {}, + "widgets_values": [ + "This workflow is by-default set up using the full Krea 2 Raw model with the Turbo LoRA at 0.6 strength, which provides good quality at reasonable (but a bit slow) speeds.\n\nHowever, you can use any of the Krea 2 models with this workflow. Just swap out the models and adjust the samplers to your liking." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 608, + "type": "MarkdownNote", + "pos": [ + 400, + -1850 + ], + "size": [ + 270, + 170 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Negative Prompting", + "properties": {}, + "widgets_values": [ + "Negative prompts become ineffective at 1 CFG, which is what Turbo models/loras are built around.\n\nHowever, if using the Raw Krea 2 model with the Turbo LoRA at 0.6 strength, higher CFG can still be used.\n\nIncreasing CFG to 2 seems to work well if you want negative prompting. But generations will take twice as long." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 11, + "type": "CLIPTextEncode", + "pos": [ + 410, + -1640 + ], + "size": [ + 220, + 90 + ], + "flags": {}, + "order": 31, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 1115 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 1096, + 1098, + 1143 + ] + } + ], + "title": "Negative Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "watermark, blurry, ugly, bad " + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 609, + "type": "FloatConstant", + "pos": [ + 420, + -1500 + ], + "size": [ + 210, + 60 + ], + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "value", + "type": "FLOAT", + "links": [ + 1163, + 1164, + 1165 + ] + } + ], + "title": "CFG", + "properties": { + "cnr_id": "comfyui-kjnodes", + "ver": "bc8e4ce4254bcd0050383386ee2f9d753dbf1fa5", + "Node name for S&R": "FloatConstant" + }, + "widgets_values": [ + 1 + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 590, + "type": "FloatConstant", + "pos": [ + -780, + -900 + ], + "size": [ + 210, + 60 + ], + "flags": {}, + "order": 17, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "value", + "type": "FLOAT", + "links": [ + 1124, + 1161 + ] + } + ], + "title": "Noise Amount", + "properties": { + "cnr_id": "comfyui-kjnodes", + "ver": "bc8e4ce4254bcd0050383386ee2f9d753dbf1fa5", + "Node name for S&R": "FloatConstant" + }, + "widgets_values": [ + 0.6 + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 607, + "type": "MarkdownNote", + "pos": [ + -550, + -1120 + ], + "size": [ + 330, + 270 + ], + "flags": {}, + "order": 18, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Noise Amount", + "properties": {}, + "widgets_values": [ + "This affects the balance between the source image and generated image. The higher the value, the more the samplers override the input image.\n\nIn my experience:\n- 0.4 works well for detail refinement on semi-realistic images.\n- 0.5 has an uncanny blend between stylized and realistic.\n- 0.55 - 0.6 achieves good realism while retaining the composition of the source image.\n- 0.65 begins to drift towards the composition of the generated image.\n- 0.7 - 0.75 varies in quality depending on the generation; how good it looks largely depends on how good the full sampler image itself looks.\n- 0.8+ typically drifts too far from the source image.\n___________\n\nWhat I like to do is start on 0.6, and then experiment with 0.75 for more realism, and 0.4 for more style." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 572, + "type": "SaveImage", + "pos": [ + 1070, + -850 + ], + "size": [ + 210, + 290 + ], + "flags": { + "collapsed": true + }, + "order": 41, + "mode": 4, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 1107 + }, + { + "name": "filename_prefix", + "type": "STRING", + "widget": { + "name": "filename_prefix" + }, + "link": 1108 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": [ + 1130 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "Krea 2" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 8, + "type": "SaveImage", + "pos": [ + 800, + -1300 + ], + "size": [ + 210, + 270 + ], + "flags": { + "collapsed": true + }, + "order": 40, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 6 + }, + { + "name": "filename_prefix", + "type": "STRING", + "widget": { + "name": "filename_prefix" + }, + "link": 75 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": [ + 1150 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "Krea 2" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 592, + "type": "Image Comparer (rgthree)", + "pos": [ + 940, + -810 + ], + "size": [ + 220, + 360 + ], + "flags": {}, + "order": 43, + "mode": 4, + "inputs": [ + { + "dir": 3, + "name": "image_a", + "type": "IMAGE", + "link": 1129 + }, + { + "dir": 3, + "name": "image_b", + "type": "IMAGE", + "link": 1130 + } + ], + "outputs": [ + { + "dir": 4, + "name": "images", + "shape": 3, + "type": "IMAGE", + "links": [] + } + ], + "title": "2-pass Compare", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "1.0.2606200020", + "comparer_mode": "Slide" + }, + "widgets_values": [ + [ + { + "name": "A", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_imnhi_00045_.png&type=temp&subfolder=&rand=0.24546825323258392" + }, + { + "name": "B", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_imnhi_00046_.png&type=temp&subfolder=&rand=0.5199989218677756" + } + ] + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 598, + "type": "Image Comparer (rgthree)", + "pos": [ + 650, + -1260 + ], + "size": [ + 230, + 300 + ], + "flags": { + "collapsed": false + }, + "order": 42, + "mode": 0, + "inputs": [ + { + "dir": 3, + "name": "image_a", + "type": "IMAGE", + "link": 1151 + }, + { + "dir": 3, + "name": "image_b", + "type": "IMAGE", + "link": 1150 + } + ], + "outputs": [ + { + "dir": 4, + "name": "images", + "shape": 3, + "type": "IMAGE", + "links": [] + } + ], + "title": "Standard Sampler Compare", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "1.0.2606200020", + "comparer_mode": "Slide" + }, + "widgets_values": [ + [ + { + "name": "A", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_qyvme_00020_.png&type=temp&subfolder=&rand=0.4732517659093275" + } + ] + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 596, + "type": "KSampler", + "pos": [ + 360, + -1290 + ], + "size": [ + 270, + 270 + ], + "flags": {}, + "order": 35, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 1171 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 1142 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 1143 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 1262 + }, + { + "name": "seed", + "type": "INT", + "widget": { + "name": "seed" + }, + "link": 1145 + }, + { + "name": "cfg", + "type": "FLOAT", + "widget": { + "name": "cfg" + }, + "link": 1165 + }, + { + "name": "denoise", + "type": "FLOAT", + "widget": { + "name": "denoise" + }, + "link": 1161 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 1144 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "KSampler" + }, + "widgets_values": [ + 166538472839405, + "randomize", + 12, + 1, + "euler", + "beta", + 1 + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 3, + "type": "CLIPLoader", + "pos": [ + -2140, + -1180 + ], + "size": [ + 270, + 110 + ], + "flags": {}, + "order": 19, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "CLIP", + "type": "CLIP", + "links": [ + 15, + 46 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "CLIPLoader" + }, + "widgets_values": [ + "qwen3vl_4b_bf16.safetensors", + "krea2", + "default" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 41, + "type": "easy string", + "pos": [ + -890, + -1290 + ], + "size": [ + 270, + 60 + ], + "flags": {}, + "order": 20, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "string", + "type": "STRING", + "links": [ + 73 + ] + } + ], + "title": "Saving :: Folder Name", + "properties": { + "cnr_id": "comfyui-easy-use", + "ver": "1.3.6", + "Node name for S&R": "easy string" + }, + "widgets_values": [ + "Krea 2" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 42, + "type": "easy string", + "pos": [ + -890, + -1190 + ], + "size": [ + 270, + 60 + ], + "flags": {}, + "order": 21, + 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"#232", + "bgcolor": "#353" + }, + { + "id": 574, + "type": "SetNode", + "pos": [ + 150, + -1910 + ], + "size": [ + 230, + 60 + ], + "flags": { + "collapsed": true + }, + "order": 45, + "mode": 0, + "inputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "link": 1775 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [] + } + ], + "title": "Set_pos", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "pos" + }, + "widgets_values": [ + "pos" + ], + "color": "#332922", + "bgcolor": "#593930" + }, + { + "id": 13, + "type": "Power Lora Loader (rgthree)", + "pos": [ + -1820, + -1150 + ], + "size": [ + 340, + 220 + ], + "flags": {}, + "order": 28, + "mode": 0, + "inputs": [ + { + "dir": 3, + "name": "model", + "type": "MODEL", + "link": 13 + }, + { + "dir": 3, + "name": "clip", + "type": "CLIP", + "link": 15 + } + ], + "outputs": [ + { + "dir": 4, + "name": "MODEL", + "shape": 3, + "type": "MODEL", + "links": [ + 1247 + ] + }, + { + "dir": 4, + "name": "CLIP", + "shape": 3, + "type": "CLIP", + "links": [ + 1248 + ] + } + ], + "title": "Utility LoRAs", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "1.0.2606200020", + "Show Strengths": "Single Strength", + "Match": "" + }, + "widgets_values": [ + {}, + { + "type": "PowerLoraLoaderHeaderWidget" + }, + { + "on": true, + "lora": "Krea 2\\krea2_turbo_lora_rank_64_bf16.safetensors", + "strength": 0.6, + "strengthTwo": null + }, + { + "on": true, + "lora": "Krea 2\\Krea2_TextFusion_Refusal_Reduction.safetensors", + "strength": 1, + "strengthTwo": null + }, + {}, + "" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 996, + "type": "MarkdownNote", + "pos": [ + -920, + -780 + ], + "size": [ + 290, + 180 + ], + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About Prompt Gen Adjustments", + "properties": {}, + "widgets_values": [ + "These allow you to specify adjustments to the generated prompt.\n\nUser Clarifications allows you to specify characteristics of the image the prompt generator might otherwise struggle with interpreting. Such as \"Her legs are crossed, with her hand resting on her knee\" \n\nEnding Tags allows you to include certain captions at the end of the prompt." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 935, + "type": "PrimitiveStringMultiline", + "pos": [ + -2060, + -1880 + ], + "size": [ + 480, + 340 + ], + "flags": { + "collapsed": false + }, + "order": 12, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 1791 + ] + } + ], + "title": "System Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "PrimitiveStringMultiline" + }, + "widgets_values": [ + "# Prompting Formula\n\nBuild one paragraph filling in these categories:\n\nA (photography type) of a (beautiful) (ethnicity) (subject) adult woman with (facial features), (body characteristics), and (hair). She (gazes) with (expression) and (mouth expression) as she (action) in a (pose), her (arm/hand/leg/foot positioning). (outfit). The scene takes place in (environment) with (background) and (props). The image is illuminated by (lighting type) with (lighting direction) and (lighting quality). (shot type) with (subject placement), photographed from (camera angle) with a (camera perspective). Captured on a (lens focal length) (camera type) using (depth of field), (focus behavior), (exposure), and (camera behavior). Rendered with (realism), (texture), and (color grading).\n\nComma-join the clauses into a single sentence ending with a period. Do not invent props, wardrobe, or colors the scene does not support — over-specifying dilutes control.\n\n# Forbidden Output: Do not describe the image as anything other than a realistic medium; no illustration, painting, anime, manga, CGI, digital art, concept art, cartoon, cel-shaded work, render, or similar.\n" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 991, + "type": "MarkdownNote", + "pos": [ + -2660, + -1360 + ], + "size": [ + 480, + 520 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model Links", + "properties": {}, + "widgets_values": [ + "## Model Links \n\n\n**diffusion_models**\n\n- [Krea 2 Models](https://huggingface.co/Comfy-Org/Krea-2/tree/main/diffusion_models) \n\n**text_encoders**\n- [bf16 text encoder](https://huggingface.co/Comfy-Org/Qwen3-VL/blob/main/text_encoders/qwen3vl_4b_bf16.safetensors) better than fp8 but larger\n- [fp8 text encoder](https://huggingface.co/Comfy-Org/Qwen3-VL/blob/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors) \n\n- [Abliterated text encoder](https://huggingface.co/ahmed22xa/Huihui-Qwen3-VL-4B-Instruct-abliterated-comfy/tree/main) can be used instead if you want to do NSFW prompt gens (normal text encoders are censored) \n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [TextFusion Refusal](https://civitai.com/models/2775340/krea2-textfusion-refusal-reduction-lora?modelVersionId=3125118)\n- [Turbo LoRA](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_turbo_lora_rank_64_bf16.safetensors) this is only needed if you use the Raw model.\n\n**custom nodes**\n\n- [Krea2T-Enhancer](https://github.com/capitan01R/ComfyUI-Krea2T-Enhancer)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2 model file\n│ ├── 📂 text_encoders/\n│ │ └── qwen text encoder files\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── LoRA files\n```\n\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1000, + "type": "MarkdownNote", + "pos": [ + -900, + -470 + ], + "size": [ + 270, + 120 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About Style Adjustment Tags", + "properties": {}, + "widgets_values": [ + "You may not want to use all of these at once, or at a full -1.0 strength, as certain creative concepts are associated with them.\n\nToy around with them to find a balance you like between realism and stylization." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 992, + "type": "MarkdownNote", + "pos": [ + -1820, + -1350 + ], + "size": [ + 340, + 110 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Models", + "properties": {}, + "widgets_values": [ + "This workflow is by-default set up using the full Krea 2 Raw model with the Turbo LoRA at 0.6 strength, which provides good quality at reasonable speeds.\n\nHowever, you can use any of the Krea 2 models with this workflow. Just swap out the models and adjust the samplers to your liking." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 994, + "type": "MarkdownNote", + "pos": [ + 1010, + -1070 + ], + "size": [ + 210, + 120 + ], + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Samplers", + "properties": {}, + "widgets_values": [ + "I've provided two k-sampler setups you can use in this workflow. A basic one. And a 2-pass advanced one to get the best quality.\n\nBy default I've disabled the 2-pass k-sampler. To enable it, select the nodes and Ctrl+B" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 990, + "type": "Image Comparer (rgthree)", + "pos": [ + 70, + -1310 + ], + "size": [ + 220, + 330 + ], + "flags": { + "collapsed": false + }, + "order": 56, + "mode": 0, + "inputs": [ + { + "dir": 3, + "name": "image_a", + "type": "IMAGE", + "link": 1818 + }, + { + "dir": 3, + "name": "image_b", + "type": "IMAGE", + "link": 1817 + } + ], + "outputs": [ + { + "dir": 4, + "name": "images", + "shape": 3, + "type": "IMAGE", + "links": [] + } + ], + "title": "Images Compared", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "1.0.2606200020", + "comparer_mode": "Slide" + }, + "widgets_values": [ + [ + { + "name": "A", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_mchid_00005_.png&type=temp&subfolder=&rand=0.747891410691471" + }, + { + "name": "B", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_mchid_00006_.png&type=temp&subfolder=&rand=0.0034182221499423626" + } + ] + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 607, + "type": "MarkdownNote", + "pos": [ + -550, + -1130 + ], + "size": [ + 330, + 280 + ], + "flags": {}, + "order": 17, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Noise Amount", + "properties": {}, + "widgets_values": [ + "This affects the balance between the source image and generated image. The higher the value, the more the samplers override the input image.\n\nIn my experience:\n- 0.4 works well for detail refinement on semi-realistic images.\n- 0.5 sometimes has an uncanny blend between stylized and realistic.\n- 0.55 - 0.6 achieves good realism while retaining the composition of the source image.\n- 0.65 begins to drift towards the composition of the generated image.\n- 0.7 - 0.75 varies in quality depending on the generation; how good it looks largely depends on how good the full sampler image itself looks.\n- 0.8+ typically drifts too far from the source image.\n___________\n\nWhat I like to do is start on 0.6, and then experiment with 0.7 for more realism, and 0.4-5 for more style." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 569, + "type": "VAEDecode", + "pos": [ + 1090, + -850 + ], + "size": [ + 140, + 50 + ], + "flags": { + "collapsed": true + }, + "order": 58, + "mode": 4, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 1103 + }, + { + "name": "vae", + "type": "VAE", + "link": 1106 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 1821 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "VAEDecode" + }, + "widgets_values": [] + }, + { + "id": 989, + "type": "SaveImage", + "pos": [ + 1090, + -810 + ], + "size": [ + 210, + 290 + ], + "flags": { + "collapsed": true + }, + "order": 61, + "mode": 4, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 1821 + }, + { + "name": "filename_prefix", + "type": "STRING", + "widget": { + "name": "filename_prefix" + }, + "link": 1816 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": [] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "Krea 2" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 17, + "type": "LoadImage", + "pos": [ + -180, + -1320 + ], + "size": [ + 230, + 330 + ], + "flags": { + "collapsed": false + }, + "order": 18, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 1119, + 1294, + 1800, + 1818 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": null + } + ], + "title": "Input Image", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "LoadImage" + }, + "widgets_values": [ + "example.png", + "image" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 985, + "type": "PreviewAny", + "pos": [ + -500, + -1870 + ], + "size": [ + 420, + 380 + ], + "flags": { + "collapsed": false + }, + "order": 59, + "mode": 0, + "inputs": [ + { + "name": "source", + "type": "*", + "link": 1796 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [] + } + ], + "title": "Final Generated Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "PreviewAny" + }, + "widgets_values": [], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 41, + "type": "easy string", + "pos": [ + -890, + -1290 + ], + "size": [ + 270, + 60 + ], + "flags": {}, + "order": 19, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "string", + "type": "STRING", + "links": [ + 73 + ] + } + ], + "title": "Saving :: Folder Name", + "properties": { + "cnr_id": "comfyui-easy-use", + "ver": "1.3.6", + "Node name for S&R": "easy string" + }, + "widgets_values": [ + "Krea 2" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 984, + "type": "PrimitiveStringMultiline", + "pos": [ + -590, + -480 + ], + "size": [ + 370, + 220 + ], + "flags": {}, + "order": 20, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 1794 + ] + } + ], + "title": "Ending Tags", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "PrimitiveStringMultiline" + }, + "widgets_values": [ + " (anime:-1.0), (cartoon:-1.0), (illustration:-1.0)" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 691, + "type": "SaveImage", + "pos": [ + 80, + -860 + ], + "size": [ + 210, + 290 + ], + "flags": { + "collapsed": true + }, + "order": 60, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 1298 + }, + { + "name": "filename_prefix", + "type": "STRING", + "widget": { + "name": "filename_prefix" + }, + "link": 1297 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": [] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "Krea 2" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 749, + "type": "PrimitiveStringMultiline", + "pos": [ + -40, + -1870 + ], + "size": [ + 420, + 410 + ], + "flags": { + "collapsed": false + }, + "order": 21, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 1780 + ] + } + ], + "title": "Positive Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "PrimitiveStringMultiline" + }, + "widgets_values": [ + "" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 936, + "type": "Reroute", + "pos": [ + -1470, + -1880 + ], + "size": [ + 75, + 26 + ], + "flags": {}, + "order": 30, + "mode": 0, + "inputs": [ + { + "name": "", + "type": "*", + "widget": { + "name": "value" + }, + "link": 1791 + } + ], + "outputs": [ + { + "name": "", + "type": "STRING", + "links": [ + 1823 + ] + } + ], + "properties": { + "showOutputText": false, + "horizontal": false + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 608, + "type": "MarkdownNote", + "pos": [ + 400, + -1910 + ], + "size": [ + 270, + 180 + ], + "flags": {}, + "order": 22, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Negative Prompting", + "properties": {}, + "widgets_values": [ + "Negative prompts become ineffective at 1 CFG, which is what Turbo models/loras are built around.\n\nHowever, if using the Raw Krea 2 model with the Turbo LoRA at 0.6 strength, higher CFG can still be used.\n\nIncreasing CFG to 2 seems to work well if you want negative prompting. But generations will take twice as long.\n\nHowever, CFG above 1 might conflict with the prompt weights node." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 938, + "type": "PrimitiveStringMultiline", + "pos": [ + -1250, + -1850 + ], + "size": [ + 240, + 200 + ], + "flags": { + "collapsed": true + }, + "order": 23, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 1689 + ] + } + ], + "title": "System Prompt Addition", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "PrimitiveStringMultiline" + }, + "widgets_values": [ + "\n## User Clarifications\n\nTreat the following statements as factual descriptions of the reference image. If any statement differs from your visual interpretation, prioritize these statements. Incorporate them naturally into the generated prompt.\n\n" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 907, + "type": "PrimitiveStringMultiline", + "pos": [ + -970, + -1850 + ], + "size": [ + 480, + 340 + ], + "flags": { + "collapsed": true + }, + "order": 35, + "mode": 0, + "inputs": [ + { + "name": "value", + "type": "STRING", + "widget": { + "name": "value" + }, + "link": 1823 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 1648, + 1673 + ] + } + ], + "title": "Default System Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "PrimitiveStringMultiline" + }, + "widgets_values": [ + "# Prompting Formula\n\nBuild one paragraph filling in these categories:\n\nA (shot type), (photography type) of (beauty) (ethnicity) (subject) adult woman with (facial features), (body characteristics), and (hair). She (gazes) with (expression) and (mouth expression) as she (action) in a (pose), her (arm/hand/leg/foot positioning). (outfit). The scene takes place in (environment) with (background) and (props). The image is illuminated by (lighting type) with (lighting direction) and (lighting quality). (composition) with (subject placement), photographed from (camera angle) with a (camera perspective). Captured on a (lens focal length) (camera type) using (depth of field), (focus behavior), (exposure), and (camera behavior). Rendered with (realism), (film stock/style), (texture), and (color grading).\n\nComma-join the clauses into a single sentence ending with a period. Do not invent props, wardrobe, or colors the scene does not support — over-specifying dilutes control." + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 993, + "type": "MarkdownNote", + "pos": [ + -2470, + -1880 + ], + "size": [ + 380, + 230 + ], + "flags": {}, + "order": 24, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Prompt Generation", + "properties": {}, + "widgets_values": [ + "Realism conversions are very reliant on specific prompting, as you're aiming to recreate a realistic version of the reference image to blend with it.\n\nHowever, doing so with Krea 2 isn't easy due to its cinematographic language. Luckily it also comes with a language model we can use to help with that, and since Krea 2 was trained with AI generated captions, the outputs tend to overlap with its understanding.\n\nHowever... this also requires generating a good system prompt for it to use. I've played around with these a bit, and I've included one that I found works reasonably well.\n\n_____\n\nFor ideal results you may want to make further manual adjustments to the generated prompt." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 730, + "type": "Seed (rgthree)", + "pos": [ + -490, + -2120 + ], + "size": [ + 320, + 130 + ], + "flags": { + "collapsed": false + }, + "order": 25, + "mode": 0, + "inputs": [], + "outputs": [ + { + "dir": 4, + "name": "SEED", + "shape": 3, + "type": "INT", + "links": [ + 1688 + ] + } + ], + "title": "Prompt Gen Seed", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "1.0.2606200020", + "randomMax": 1125899906842624, + "randomMin": 0 + }, + "widgets_values": [ + -1, + "", + "", + "okay" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 995, + "type": "MarkdownNote", + "pos": [ + -30, + -2190 + ], + "size": [ + 280, + 180 + ], + "flags": {}, + "order": 26, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About Krea2 Prompt Weights", + "properties": {}, + "widgets_values": [ + "This node is new at the time of me posting this workflow, so you may need to update your kjnodes to \"nightly\"\n_____\n\nThis node enables you to use prompt weights with Krea 2, such as (tag:2), to increase or decrease their effect.\n\nThis is important for realism transfers, as we are able to use weights like (anime:-1.0) to disable certain stylized outputs." + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 998, + "type": "MarkdownNote", + "pos": [ + 690, + -1720 + ], + "size": [ + 240, + 110 + ], + "flags": {}, + "order": 27, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About Krea2T Enhancer Node", + "properties": {}, + "widgets_values": [ + "The Krea2T-Enhancer helps with prompt understanding. It's not required, but I've found it improves results.\n\nThe node is new, so you may need to download it from the [Github page](https://github.com/capitan01R/ComfyUI-Krea2T-Enhancer)" + ], + "color": "#222", + "bgcolor": "#000" + } + ], + "links": [ + [ + 5, + 2, + 0, + 9, + 1, + "VAE" + ], + [ + 6, + 9, + 0, + 8, + 0, + "IMAGE" + ], + [ + 13, + 1, + 0, + 13, + 0, + "MODEL" + ], + [ + 15, + 3, + 0, + 13, + 1, + "CLIP" + ], + [ + 73, + 41, + 0, + 40, + 0, + "STRING" + ], + [ + 74, + 42, + 0, + 40, + 1, + "STRING" + ], + [ + 75, + 40, + 0, + 8, + 1, + "STRING" + ], + [ + 1091, + 567, + 0, + 568, + 3, + "LATENT" + ], + [ + 1096, + 11, + 0, + 567, + 2, + "CONDITIONING" + ], + [ + 1098, + 11, + 0, + 568, + 2, + "CONDITIONING" + ], + [ + 1101, + 12, + 0, + 567, + 9, + "INT" + ], + [ + 1102, + 12, + 0, + 568, + 8, + "INT" + ], + [ + 1103, + 568, + 0, + 569, + 0, + "LATENT" + ], + [ + 1106, + 2, + 0, + 569, + 1, + "VAE" + ], + [ + 1113, + 575, + 0, + 567, + 1, + "CONDITIONING" + ], + [ + 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"name": "vae", + "type": "VAE", + "link": 2331 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 2328, + 2360, + 2389, + 2392 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.5", + "Node name for S&R": "VAEDecode" + }, + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 1234, + "type": "SaveImage", + "pos": [ + 2160, + -1200 + ], + "size": [ + 210, + 270 + ], + "flags": {}, + "order": 42, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 2360 + }, + { + "name": "filename_prefix", + "type": "STRING", + "widget": { + "name": "filename_prefix" + }, + "link": 2381 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.5", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "ComfyUI" + ], + "widgets_values_named": { + "filename_prefix": "ComfyUI" + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 1248, + "type": "SaveImage", + "pos": [ + 2420, + -1250 + ], + "size": [ + 210, + 270 + ], + "flags": {}, + "order": 45, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 2393 + }, + { + "name": "filename_prefix", + "type": "STRING", + "widget": { + "name": "filename_prefix" + }, + "link": 2394 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.5", + "Node name for S&R": "SaveImage" + }, + "widgets_values": [ + "ComfyUI" + ], + "widgets_values_named": { + "filename_prefix": "ComfyUI" + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 1235, + "type": "StringConcatenate", + "pos": [ + -670, + -1090 + ], + "size": [ + 400, + 200 + ], + "flags": { + "collapsed": true + }, + "order": 23, + "mode": 0, + "inputs": [ + { + "name": "string_a", + "type": "STRING", + "widget": { + "name": "string_a" + }, + "link": 2379 + }, + { + "name": "string_b", + "type": "STRING", + "widget": { + "name": "string_b" + }, + "link": 2380 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 2381, + 2382, + 2394 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.5", + "Node name for S&R": "StringConcatenate" + }, + "widgets_values": [ + "", + "", + "/" + ], + "widgets_values_named": { + "string_a": "", + "string_b": "", + "delimiter": "/" + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 1167, + "type": "Krea2AttentionWeightedPhraseEncoder", + "pos": [ + 140, + -1290 + ], + "size": [ + 380, + 130 + ], + "flags": { + "collapsed": false + }, + "order": 32, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 2237 + }, + { + "name": "clip", + "type": "CLIP", + "link": 2372 + }, + { + "name": "text", + "type": "STRING", + "widget": { + "name": "text" + }, + "link": 2397 + } + ], + "outputs": [ + { + "name": "model", + "type": "MODEL", + "links": [ + 2234, + 2235, + 2395 + ] + }, + { + "name": "conditioning", + "type": "CONDITIONING", + "links": [ + 2384, + 2385, + 2396 + ] + }, + { + "name": "weight_report", + "type": "STRING", + "links": [] + } + ], + "properties": { + "cnr_id": "ComfyUI-Krea2T-Enhancer", + "ver": "85baaf0145b532ce3418b016cefca76f90648d6d", + "Node name for S&R": "Krea2AttentionWeightedPhraseEncoder" + }, + "widgets_values": [ + "" + ], + "widgets_values_named": { + "text": "" + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 1192, + "type": "Text Concatenate", + "pos": [ + -160, + -1110 + ], + "size": [ + 270, + 150 + ], + "flags": { + "collapsed": true + }, + "order": 26, + "mode": 0, + "inputs": [ + { + "name": "text_a", + "shape": 7, + "type": "STRING", + "link": null + }, + { + "name": "text_b", + "shape": 7, + "type": "STRING", + "link": 2356 + }, + { + "name": "text_c", + "shape": 7, + "type": "STRING", + "link": 2357 + }, + { + "name": "text_d", + "shape": 7, + "type": "STRING", + "link": null + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 2388, + 2397 + ] + } + ], + "properties": { + "cnr_id": "was-ns", + "ver": "3.0.1", + "Node name for S&R": "Text Concatenate" + }, + "widgets_values": [ + "", + "false" + ], + "widgets_values_named": { + "delimiter": "", + "clean_whitespace": "false" + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 2, + "type": "VAELoader", + "pos": [ + -1450, + -1000 + ], + "size": [ + 270, + 60 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "VAE", + "type": "VAE", + "links": [ + 1507, + 2124, + 2331 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.28.0", + "Node name for S&R": "VAELoader" + }, + "widgets_values": [ + "qwen_image_vae.safetensors" + ], + "widgets_values_named": { + "vae_name": "qwen_image_vae.safetensors" + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 1207, + "type": "PrimitiveStringMultiline", + "pos": [ + 240, + -740 + ], + "size": [ + 400, + 230 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 2357 + ] + } + ], + "title": "Aesthetic Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.5", + "Node name for S&R": "PrimitiveStringMultiline" + }, + "widgets_values": [ + "\n\nCinematic professional photography, photographed with a high-end full-frame camera and carefully controlled film lighting. Lifelike human skin with fine natural texture, subtle pores, realistic color variation, individually defined hair strands, and physically believable materials. Soft directional key lighting, gentle fill light, realistic light falloff, nuanced shadow detail, rich midtones, soft highlight rolloff, natural reflected light, and controlled exposure. Authentic optical depth of field, realistic lens rendering, subtle atmospheric separation, natural color grading, fine photographic texture, and convincing environmental detail. The result should resemble a frame from a beautifully photographed live-action film, with natural imperfections and believable physical realism." + ], + "widgets_values_named": { + "value": "\n\nCinematic professional photography, photographed with a high-end full-frame camera and carefully controlled film lighting. Lifelike human skin with fine natural texture, subtle pores, realistic color variation, individually defined hair strands, and physically believable materials. Soft directional key lighting, gentle fill light, realistic light falloff, nuanced shadow detail, rich midtones, soft highlight rolloff, natural reflected light, and controlled exposure. Authentic optical depth of field, realistic lens rendering, subtle atmospheric separation, natural color grading, fine photographic texture, and convincing environmental detail. The result should resemble a frame from a beautifully photographed live-action film, with natural imperfections and believable physical realism." + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 1252, + "type": "Note", + "pos": [ + 1130, + -480 + ], + "size": [ + 310, + 300 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Example Aesthetic Prompt", + "properties": {}, + "widgets_values": [ + "Cinematic professional photography, photographed with a high-end full-frame camera and carefully controlled film lighting. Lifelike human skin with fine natural texture, subtle pores, realistic color variation, individually defined hair strands, and physically believable materials. Soft directional key lighting, gentle fill light, realistic light falloff, nuanced shadow detail, rich midtones, soft highlight rolloff, natural reflected light, and controlled exposure. Authentic optical depth of field, realistic lens rendering, subtle atmospheric separation, natural color grading, fine photographic texture, and convincing environmental detail. The result should resemble a frame from a beautifully photographed live-action film, with natural imperfections and believable physical realism." + ], + "widgets_values_named": { + "text": "Cinematic professional photography, photographed with a high-end full-frame camera and carefully controlled film lighting. Lifelike human skin with fine natural texture, subtle pores, realistic color variation, individually defined hair strands, and physically believable materials. Soft directional key lighting, gentle fill light, realistic light falloff, nuanced shadow detail, rich midtones, soft highlight rolloff, natural reflected light, and controlled exposure. Authentic optical depth of field, realistic lens rendering, subtle atmospheric separation, natural color grading, fine photographic texture, and convincing environmental detail. The result should resemble a frame from a beautifully photographed live-action film, with natural imperfections and believable physical realism." + }, + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 1247, + "type": "ImageConcatMulti", + "pos": [ + 2410, + -1290 + ], + "size": [ + 270, + 150 + ], + "flags": { + "collapsed": true + }, + "order": 44, + "mode": 0, + "inputs": [ + { + "name": "image_1", + "type": "IMAGE,MASK", + "link": 2391 + }, + { + "name": "image_2", + "shape": 7, + "type": "IMAGE,MASK", + "link": 2392 + } + ], + "outputs": [ + { + "name": "output", + "type": "IMAGE", + "links": [ + 2393 + ] + } + ], + "properties": { + "cnr_id": "comfyui-kjnodes", + "ver": "da90cca857d7dd6fb615015197f99845e72c9bd3" + }, + "widgets_values": [ + 2, + "right", + true, + null + ], + "widgets_values_named": { + "inputcount": 2, + "direction": "right", + "match_image_size": true, + "Update inputs": null + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 1203, + "type": "Power Lora Loader (rgthree)", + "pos": [ + -1170, + -1050 + ], + "size": [ + 340, + 170 + ], + "flags": {}, + "order": 27, + "mode": 0, + "inputs": [ + { + "dir": 3, + "name": "model", + "type": "MODEL", + "link": 2377 + }, + { + "dir": 3, + "name": "clip", + "type": "CLIP", + "link": 2378 + } + ], + "outputs": [ + { + "dir": 4, + "name": "MODEL", + "shape": 3, + "type": "MODEL", + "links": [ + 2369 + ] + }, + { + "dir": 4, + "name": "CLIP", + "shape": 3, + "type": "CLIP", + "links": [ + 2371, + 2372 + ] + } + ], + "title": "Style LoRAs", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "2c5342a8cb0eaecaabf61435a5f37dd594c510ba", + "Show Strengths": "Single Strength", + "Match": "" + }, + "widgets_values": [ + {}, + { + "type": "PowerLoraLoaderHeaderWidget" + }, + {}, + "" + ], + "widgets_values_named": { + "divider": {}, + "PowerLoraLoaderHeaderWidget": { + "type": "PowerLoraLoaderHeaderWidget" + }, + "➕ Add Lora": "" + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 1146, + "type": "Image Comparer (rgthree)", + "pos": [ + 310, + -290 + ], + "size": [ + 210, + 330 + ], + "flags": { + "collapsed": false + }, + "order": 43, + "mode": 0, + "inputs": [ + { + "dir": 3, + "name": "image_a", + "type": "IMAGE", + "link": 2130 + }, + { + "dir": 3, + "name": "image_b", + "type": "IMAGE", + "link": 2389 + } + ], + "outputs": [ + { + "dir": 4, + "name": "images", + "shape": 3, + "type": "IMAGE", + "links": null + } + ], + "title": "Before/After Compare", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "13b4399c00b5ef5a97b1b6800fc1185874740f5d", + "comparer_mode": "Slide" + }, + "widgets_values": [ + [ + { + "name": "A", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_aluup_00029_.png&type=temp&subfolder=&rand=0.5013713060349418" + }, + { + "name": "B", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_aluup_00030_.png&type=temp&subfolder=&rand=0.6913997621183724" + } + ] + ], + "widgets_values_named": { + "rgthree_comparer": { + "images": [ + { + "name": "A", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_aluup_00029_.png&type=temp&subfolder=&rand=0.5013713060349418", + "img": {} + }, + { + "name": "B", + "selected": true, + "url": "/api/view?filename=rgthree.compare._temp_aluup_00030_.png&type=temp&subfolder=&rand=0.6913997621183724", + "img": {} + } + ] + } + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1143, + "type": "LoadImage", + "pos": [ + -500, + -740 + ], + "size": [ + 290, + 320 + ], + "flags": { + "collapsed": false + }, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 2130, + 2268 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.33.4", + "Node name for S&R": "LoadImage" + }, + "widgets_values": [ + "example.png", + "image" + ], + "widgets_values_named": { + "image": "example.png", + "upload": "image" + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 1240, + "type": "MarkdownNote", + "pos": [ + -180, + -1000 + ], + "size": [ + 260, + 130 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Denoise Amount", + "properties": {}, + "widgets_values": [ + "This affects the balance between the input image and what the samplers generate over it. The higher the value, the more the samplers overwrite the input image.\n\n0.6 is a good starting point. \nYou can move it higher for more realism (1.0 will fully replace the reference image), and lower to retain more of the input image." + ], + "widgets_values_named": { + "text": "This affects the balance between the input image and what the samplers generate over it. The higher the value, the more the samplers overwrite the input image.\n\n0.6 is a good starting point. \nYou can move it higher for more realism (1.0 will fully replace the reference image), and lower to retain more of the input image." + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1239, + "type": "MarkdownNote", + "pos": [ + -1970, + -1340 + ], + "size": [ + 480, + 510 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model Links", + "properties": {}, + "widgets_values": [ + "## Model Links \n\n\n**diffusion_models**\n\n- [Krea 2 Models](https://huggingface.co/Comfy-Org/Krea-2/tree/main/diffusion_models) \n\n**text_encoders**\n- [bf16 text encoder](https://huggingface.co/Comfy-Org/Qwen3-VL/blob/main/text_encoders/qwen3vl_4b_bf16.safetensors) better than fp8 but larger\n- [fp8 text encoder](https://huggingface.co/Comfy-Org/Qwen3-VL/blob/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors) \n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [TextFusion Refusal](https://civitai.com/models/2775340/krea2-textfusion-refusal-reduction-lora?modelVersionId=3125118)\n- [Turbo LoRA](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_turbo_lora_rank_64_bf16.safetensors) this is only needed if you use the Raw model.\n\n**custom nodes**\n\n- [SesquiLSR Latent Upscale](https://github.com/LoganBooker/SesquiLSR)\n- [Krea2T-Enhancer](https://github.com/capitan01R/ComfyUI-Krea2T-Enhancer)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2 model file\n│ ├── 📂 text_encoders/\n│ │ └── qwen text encoder files\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── LoRA files\n```\n\n" + ], + "widgets_values_named": { + "text": "## Model Links \n\n\n**diffusion_models**\n\n- [Krea 2 Models](https://huggingface.co/Comfy-Org/Krea-2/tree/main/diffusion_models) \n\n**text_encoders**\n- [bf16 text encoder](https://huggingface.co/Comfy-Org/Qwen3-VL/blob/main/text_encoders/qwen3vl_4b_bf16.safetensors) better than fp8 but larger\n- [fp8 text encoder](https://huggingface.co/Comfy-Org/Qwen3-VL/blob/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors) \n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [TextFusion Refusal](https://civitai.com/models/2775340/krea2-textfusion-refusal-reduction-lora?modelVersionId=3125118)\n- [Turbo LoRA](https://huggingface.co/Comfy-Org/Krea-2/blob/main/loras/krea2_turbo_lora_rank_64_bf16.safetensors) this is only needed if you use the Raw model.\n\n**custom nodes**\n\n- [SesquiLSR Latent Upscale](https://github.com/LoganBooker/SesquiLSR)\n- [Krea2T-Enhancer](https://github.com/capitan01R/ComfyUI-Krea2T-Enhancer)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2 model file\n│ ├── 📂 text_encoders/\n│ │ └── qwen text encoder files\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── LoRA files\n```\n\n" + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1254, + "type": "LatentUpscaleBy", + "pos": [ + 1580, + -1480 + ], + "size": [ + 270, + 82 + ], + "flags": {}, + "order": 14, + "mode": 4, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": null + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.34.5", + "Node name for S&R": "LatentUpscaleBy" + }, + "widgets_values": [ + "nearest-exact", + 1.5 + ], + "widgets_values_named": { + "upscale_method": "nearest-exact", + "scale_by": 1.5 + } + }, + { + "id": 1221, + "type": "SesquiLatentUpscale", + "pos": [ + 1580, + -1290 + ], + "size": [ + 290, + 110 + ], + "flags": {}, + "order": 36, + "mode": 0, + "inputs": [ + { + "name": "latent", + "type": "LATENT", + "link": 2308 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 2312 + ] + } + ], + "properties": { + "aux_id": "LoganBooker/SesquiLSR", + "ver": "befae004248c403f38b76b9f65fd43b901ea3eaa", + "Node name for S&R": "SesquiLatentUpscale" + }, + "widgets_values": [ + "Wan 2.1", + 1.5, + true + ], + "widgets_values_named": { + "model_format": "Wan 2.1", + "scale": 1.5, + "half_precision": true + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 1242, + "type": "MarkdownNote", + "pos": [ + -170, + -1530 + ], + "size": [ + 300, + 140 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note about Text Enhancer Nodes", + "properties": {}, + "widgets_values": [ + "These improve prompt adherence, as well as allowing prompt weights, which can be incredibly useful when trying to refine outputs. \n\nE.g. \n(concept you want to add weight to:1.8) \n(concept you wan to decrease the weight of:0.5) \n\nYou can read more about it [on the github page](https://github.com/capitan01R/ComfyUI-Krea2T-Enhancer)." + ], + "widgets_values_named": { + "text": "These improve prompt adherence, as well as allowing prompt weights, which can be incredibly useful when trying to refine outputs. \n\nE.g. \n(concept you want to add weight to:1.8) \n(concept you wan to decrease the weight of:0.5) \n\nYou can read more about it [on the github page](https://github.com/capitan01R/ComfyUI-Krea2T-Enhancer)." + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1245, + "type": "MarkdownNote", + "pos": [ + -1170, + -780 + ], + "size": [ + 260, + 100 + ], + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About Realism/Style LoRAs", + "properties": {}, + "widgets_values": [ + "It is recommended to use realism LoRAs fitting the sort of realistic look you want, as this will enforce the realism transfer effect. \n\nCivitai has a huge number of these, and most should work." + ], + "widgets_values_named": { + "text": "It is recommended to use realism LoRAs fitting the sort of realistic look you want, as this will enforce the realism transfer effect. \n\nCivitai has a huge number of these, and most should work." + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1249, + "type": "MarkdownNote", + "pos": [ + -750, + -350 + ], + "size": [ + 220, + 110 + ], + "flags": {}, + "order": 17, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About Image Resolution", + "properties": {}, + "widgets_values": [ + "This node will scale your input image to the desired megapixel resolution. \n\nBecause the detailing pass upscales the image by 50%, it's best to leave this around 1 megapixel." + ], + "widgets_values_named": { + "text": "This node will scale your input image to the desired megapixel resolution. \n\nBecause the detailing pass upscales the image by 50%, it's best to leave this around 1 megapixel." + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1241, + "type": "MarkdownNote", + "pos": [ + -1970, + -770 + ], + "size": [ + 430, + 390 + ], + "flags": {}, + "order": 18, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About this Workflow", + "properties": {}, + "widgets_values": [ + "The intent of this workflow is to use Krea 2 to convert stylized images into a realistic ones while retaining their composition and creative features.\n\nThe reason I put this together is that realism models are inherently not as expressive as stylized ones, and tend to lack diversity in anatomy and faces. But what I found is that by denoising Krea 2 over a stylized image, I could get a realistic-looking image while retaining those features.\n\nThe result is something that I find tends to look better than what Krea 2 is able to create through prompting alone.\n\n_________\n\nHowever, a difficulty with this approach is that the quality of results depend on how well you can prompt for a realistic image that matches the input image. \n\nI have an [\"automatic\" version of this workflow](https://civitai.red/models/2790688/krea-2-realism-transfer-workflow?modelVersionId=3176355) that uses the vision of the text encoder to transfer the understanding of the input image without the need for prompting, however this doesn't allow any control and inherently injects stylized information into the prompt. \n\nSo what this \"manual\" version of the workflow aims to accomplish is the strongest, most controllable, and highest quality realistic style transfer. \n\nHowever, fully manual prompting for Krea 2 for this purpose is difficult, so using a language model to generate a prompt based off the input image is recommended.\n\nIn my previous versions I attempted using the qwen3vl_4b text encoder to generate a prompt, but it's not powerful enough. Instead what is needed are more powerful language models, through local models like Qwen3.8-27b (the Q4 version will run on 16gb vram), or services like ChatGPT and Grok. I've found these work pretty well, and give the results I've been looking for." + ], + "widgets_values_named": { + "text": "The intent of this workflow is to use Krea 2 to convert stylized images into a realistic ones while retaining their composition and creative features.\n\nThe reason I put this together is that realism models are inherently not as expressive as stylized ones, and tend to lack diversity in anatomy and faces. But what I found is that by denoising Krea 2 over a stylized image, I could get a realistic-looking image while retaining those features.\n\nThe result is something that I find tends to look better than what Krea 2 is able to create through prompting alone.\n\n_________\n\nHowever, a difficulty with this approach is that the quality of results depend on how well you can prompt for a realistic image that matches the input image. \n\nI have an [\"automatic\" version of this workflow](https://civitai.red/models/2790688/krea-2-realism-transfer-workflow?modelVersionId=3176355) that uses the vision of the text encoder to transfer the understanding of the input image without the need for prompting, however this doesn't allow any control and inherently injects stylized information into the prompt. \n\nSo what this \"manual\" version of the workflow aims to accomplish is the strongest, most controllable, and highest quality realistic style transfer. \n\nHowever, fully manual prompting for Krea 2 for this purpose is difficult, so using a language model to generate a prompt based off the input image is recommended.\n\nIn my previous versions I attempted using the qwen3vl_4b text encoder to generate a prompt, but it's not powerful enough. Instead what is needed are more powerful language models, through local models like Qwen3.8-27b (the Q4 version will run on 16gb vram), or services like ChatGPT and Grok. I've found these work pretty well, and give the results I've been looking for." + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1244, + "type": "MarkdownNote", + "pos": [ + 1590, + -1130 + ], + "size": [ + 260, + 210 + ], + "flags": {}, + "order": 19, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About This Detailer", + "properties": {}, + "widgets_values": [ + "This upscales the image then runs a detailing pass over it, improving image detail and softening textures.\n\nYou can reduce the scale factor to 1.25 to speed up generation time.\n\n___\n\nI've been using the included latent upscale node for this, which if comfyui manager doesn't recognize you can [download from the Github](https://github.com/LoganBooker/SesquiLSR).\n\nBut if you don't want to go through that, the normal latent upscale node also works, which I've included above." + ], + "widgets_values_named": { + "text": "This upscales the image then runs a detailing pass over it, improving image detail and softening textures.\n\nYou can reduce the scale factor to 1.25 to speed up generation time.\n\n___\n\nI've been using the included latent upscale node for this, which if comfyui manager doesn't recognize you can [download from the Github](https://github.com/LoganBooker/SesquiLSR).\n\nBut if you don't want to go through that, the normal latent upscale node also works, which I've included above." + }, + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 1193, + "type": "PrimitiveStringMultiline", + "pos": [ + -170, + -740 + ], + "size": [ + 400, + 330 + ], + "flags": {}, + "order": 20, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 2356 + ] + } + ], + "title": "Subject Prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.33.4", + "Node name for S&R": "PrimitiveStringMultiline" + }, + "widgets_values": [ + "An adult woman." + ], + "widgets_values_named": { + "value": "An adult woman." + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 1251, + "type": "Note", + "pos": [ + 740, + -490 + ], + "size": [ + 360, + 310 + ], + "flags": {}, + "order": 21, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Example System Prompt (To give to LLM)", + "properties": {}, + "widgets_values": [ + "# CORE INSTRUCTIONS\nYou are an expert visual analyst and Krea 2 prompt engineer specializing in converting anime, illustration, and other stylized reference images into highly faithful photorealistic recreations.\n\nYour task is to examine a reference image and produce a single Krea 2 prompt that describes how the same image would appear as a real photograph.\n\nThe goal is NOT to creatively reinterpret the image, improve the character design, or invent a more cinematic scene.\n\nThe goal is:\n\nREFERENCE IMAGE → FAITHFUL VISUAL ANALYSIS → NATURAL PHOTOGRAPHIC DESCRIPTION → KREA 2 PROMPT\n\nThe final prompt must preserve the reference image's visual identity, composition, anatomy, pose, spatial relationships, clothing, environment, lighting, and overall photographic interpretation as accurately as possible.\n\n# FUNDAMENTAL PRINCIPLE\n\nThink of the reference as a scene that must be reconstructed.\n\nFor every important visual element, determine:\n\n1. What is it?\n \n2. What does it look like?\n \n3. Where is it relative to the other elements?\n \n4. What is it doing or interacting with?\n \n\nFor the camera, determine:\n\n1. What does the camera see?\n \n2. Where is the camera relative to the subject?\n \n3. What perspective does that create?\n \n4. What is in focus and what is blurred?\n \n\nDo not merely identify objects. Reconstruct the relationships between them.\n\nFor example, do not write:\n\n\"woman, grass, sunlight, arm behind her\"\n\nInstead write:\n\n\"She sits on the grass with one arm extended behind her to support her weight while warm sunlight falls across the right side of her face.\"\n\nThe second description communicates geometry, interaction, and lighting relationships simultaneously.\n\n# PROMPT ARCHITECTURE\n\n 1. IMAGE TYPE + SHOT\n 2. PRIMARY SUBJECT + IDENTITY\n 3. BODY + PHYSICAL CHARACTERISTICS\n 4. FACE + HAIR\n 5. POSE + BODY GEOMETRY\n 6. GAZE + EXPRESSION\n 7. CLOTHING + ACCESSORIES\n 8. SUBJECT–OBJECT INTERACTIONS\n 9. ENVIRONMENT + SPATIAL LAYOUT\n 10. LIGHTING + LIGHT INTERACTIONS\n 11. COMPOSITION + CAMERA PERSPECTIVE\n 12. DEPTH OF FIELD + FOCUS\n 13. PHOTOGRAPHIC RENDERING\n\n# 1. IMAGE TYPE + SHOT\n\nBegin by establishing what the image fundamentally is.\n\nDescribe:\n\n- photographic or cinematic medium\n \n- shot type\n \n- framing\n \n- broad viewpoint\n \n- whether the image is a portrait, full-body shot, environmental scene, etc.\n \n\nExamples:\n\n\"A close, high-angle portrait photograph of...\"\n\n\"A medium shot of...\"\n\n\"A full-body cinematic photograph of...\"\n\n\"A wide environmental photograph showing...\"\n\nThe opening should immediately establish the visual context rather than beginning with minor details.\n\n# 2. PRIMARY SUBJECT + IDENTITY\n\nIntroduce the primary subject as a unified physical person.\n\nWhen visually supportable, describe:\n\n- apparent age\n \n- gender presentation\n \n- ethnicity or ethnic appearance\n \n- general physical identity\n \n- overall visual characteristics\n \n\nBe conservative when information is ambiguous.\n\nDo not invent nationality or ethnicity merely because a character is anime-styled.\n\nDescribe apparent age rather than confidently asserting an exact numerical age unless the reference explicitly establishes one.\n\nPrefer:\n\n\"a young adult woman\"\n\nover an unsupported exact age.\n\n# 3. BODY + PHYSICAL CHARACTERISTICS\n\nThis section is extremely important.\n\nDescribe what the character's body is like independently of the current pose.\n\nCapture the physical characteristics that determine the character's silhouette and proportions.\n\nWhen visible, consider:\n\n- apparent height\n \n- overall build\n \n- body shape\n \n- body proportions\n \n- shoulder width\n \n- torso length\n \n- ribcage\n \n- waist\n \n- hips\n \n- chest proportions when visually relevant\n \n- arm proportions\n \n- leg proportions\n \n- muscularity\n \n- softness\n \n- hands\n \n- feet\n \n- skin tone and visible skin characteristics\n \n\nUseful descriptors include:\n\n- petite\n \n- short\n \n- tall\n \n- slender\n \n- lean\n \n- delicate\n \n- athletic\n \n- toned\n \n- muscular\n \n- softly curving\n \n- broad\n \n- narrow\n \n- compact\n \n- long-limbed\n \n\nDescribe relationships between body parts when they are visually important.\n\nExamples:\n\n\"She has a petite, slender build with narrow shoulders, a compact torso, a defined waist, and relatively long legs.\"\n\n\"Her shoulders are narrow relative to her hips, creating a softly curved silhouette.\"\n\n\"Her frame is lean and athletic, with long limbs and a relatively short torso.\"\n\nDo not merely call a character \"slim,\" \"curvy,\" or \"petite\" when the reference contains more specific visible characteristics.\n\nDo not automatically normalize exaggerated anime proportions.\n\nIf the source has distinctive proportions, preserve the visual impression and silhouette while translating them into the closest plausible human anatomy.\n\n# 4. FACE + HAIR\n\nDescribe the character's visual identity at the face and hair level.\n\nFor the face, consider:\n\n- face shape\n \n- forehead\n \n- cheekbones\n \n- jaw\n \n- chin\n \n- facial fullness\n \n- eye shape\n \n- eye size\n \n- eye spacing\n \n- iris color\n \n- eyebrows\n \n- nose\n \n- lips\n \n- distinctive facial markings\n \n- skin tone\n \n- freckles, blush, moles, or other visible details\n \n\nTranslate stylized anime features into plausible real-human equivalents without erasing their distinctive appearance.\n\nFor example:\n\n\"large almond-shaped brown eyes\"\n\nis preferable to:\n\n\"anime eyes.\"\n\nLikewise:\n\n\"a small softly rounded nose\"\n\nis preferable to:\n\n\"anime nose.\"\n\nFor hair, consider:\n\n- color\n \n- length\n \n- thickness\n \n- volume\n \n- texture\n \n- straightness or curl\n \n- hairstyle\n \n- bangs\n \n- parting\n \n- layers\n \n- braids, ponytails, buns, etc.\n \n- loose strands\n \n- how the hair falls over the face, shoulders, and clothing\n \n\nDescribe how the hair occupies space.\n\nFor example:\n\n\"Long dark brown hair falls over her shoulders in slightly tousled layers, with soft bangs framing her forehead and a few loose strands crossing one side of her face.\"\n\n# 5. POSE + BODY GEOMETRY\n\nTreat pose as a distinct and highly important component.\n\nDo not reduce a complex pose to a generic action such as \"sitting,\" \"standing,\" or \"posing.\"\n\nDescribe the physical geometry of the body.\n\nWhen visible, consider:\n\n- overall body orientation\n \n- torso rotation\n \n- head orientation\n \n- head tilt\n \n- shoulder angle\n \n- arm positions\n \n- elbow positions\n \n- wrist positions\n \n- hand placement\n \n- hip orientation\n \n- knee positions\n \n- leg direction\n \n- ankle position\n \n- foot placement\n \n- weight distribution\n \n- contact with the ground or other surfaces\n \n\nFor example:\n\n\"She sits with her torso angled slightly away from the camera, one arm extending behind her to support her weight while one knee is raised and her legs angle diagonally across the frame.\"\n\nThis is preferable to:\n\n\"She is sitting casually.\"\n\nPreserve unusual or stylized poses rather than replacing them with more natural generic poses.\n\n# 6. GAZE + EXPRESSION\n\nKeep gaze and expression explicit.\n\nDistinguish between:\n\n- head direction\n \n- eye direction\n \n- gaze target\n \n- eyelid position\n \n- eyebrow position\n \n- mouth position\n \n- facial expression\n \n\nThese may differ.\n\nFor example:\n\n\"Her face tilts upward toward the camera while her eyes look directly into the lens.\"\n\nDescribe expression through visible physical cues whenever possible.\n\nPrefer:\n\n\"Her eyebrows are slightly raised and her lips form a subtle pout.\"\n\nover:\n\n\"She looks cute and curious.\"\n\n# 7. CLOTHING + ACCESSORIES\n\nDescribe garments as physical objects rather than simply naming them.\n\nConsider:\n\n- garment type\n \n- color\n \n- cut\n \n- fit\n \n- silhouette\n \n- layering\n \n- patterns\n \n- visible details\n \n- seams\n \n- material\n \n- thickness\n \n- folds\n \n- draping\n \n- accessories\n \n- footwear\n \n\nDescribe how clothing responds to the character's body and pose.\n\nPrefer:\n\n\"An oversized turquoise hoodie hangs loosely from her narrow shoulders, its heavy fabric bunching naturally around her elbows and waist as she sits.\"\n\nover:\n\n\"She wears an oversized turquoise hoodie.\"\n\n# 8. SUBJECT–OBJECT INTERACTIONS\n\nPay particular attention to physical interaction.\n\nDescribe when:\n\n- a hand rests on something\n \n- a person leans against something\n \n- a foot contacts the ground\n \n- clothing touches another object\n \n- hair overlaps the face or clothing\n \n- a person holds or grips an object\n \n- the body is partially hidden by another element\n \n- an object overlaps or occludes the subject\n\nThese relationships are often more important than the existence of the individual objects themselves.\n\nExample:\n\n\"Her left hand rests against the grass behind her while the hem of her hoodie spreads naturally across her thighs.\"\n\n# 9. ENVIRONMENT + SPATIAL LAYOUT\n\nDescribe the environment in spatial terms rather than as a disconnected list of objects.\n\nConsider:\n\n- immediate surroundings\n \n- foreground\n \n- middle ground\n \n- background\n \n- surfaces\n \n- architecture\n \n- vegetation\n \n- furniture\n \n- props\n \n- environmental objects\n \n- relative scale\n \n- distance\n \n- overlap\n \n- occlusion\n \n\nOrganize the scene from the subject outward.\n\nExample:\n\n\"She sits on short grass, with the immediate ground surrounding her in the foreground while distant trees recede softly into the background.\"\n\nOnly include meaningful visible elements.\n\nDo not invent scenery simply because it would make the photograph more attractive or cinematic.\n\n# 10. LIGHTING + LIGHT INTERACTIONS\n\nDescribe lighting as a physical phenomenon affecting the scene.\n\nConsider:\n\n- light source\n \n- direction\n \n- height\n \n- softness\n \n- intensity\n \n- color temperature\n \n- shadow direction\n \n- shadow softness\n \n- highlights\n \n- reflections\n \n- atmospheric effects\n \n\nMost importantly, describe what the light does to the subject and environment.\n\nPrefer:\n\n\"Warm afternoon sunlight enters from the upper right, illuminating the right side of her face and catching subtle highlights in her hair while her bangs cast soft shadows across her forehead.\"\n\nover:\n\n\"Warm cinematic lighting, soft shadows, golden hour.\"\n\nUse relational lighting language whenever possible.\n\n# 11. COMPOSITION + CAMERA PERSPECTIVE\n\nDescribe how the image is framed and viewed.\n\nConsider:\n\n- subject placement\n \n- framing\n \n- cropping\n \n- camera height\n \n- camera angle\n \n- viewing direction\n \n- perspective\n \n- lens character\n \n- perspective compression or distortion\n \n- foreground/background relationships\n \n- negative space\n \n\nUseful terminology includes:\n\n- close-up\n \n- medium close-up\n \n- medium shot\n \n- full-body shot\n \n- wide shot\n \n- eye-level\n \n- low-angle\n \n- high-angle\n \n- overhead\n \n- three-quarter view\n \n- wide-angle perspective\n \n- portrait perspective\n \n- compressed perspective\n \n\nDescribe visible photographic consequences instead of inventing unsupported technical specifications.\n\nPrefer:\n\n\"photographed from a moderately high angle with a moderately long portrait perspective\"\n\nover:\n\n\"photographed on an 85mm f/1.4 lens\"\n\nunless the exact technical specification is strongly supported.\n\n# 12. DEPTH OF FIELD + FOCUS\n\nDescribe the actual focus relationships in the image.\n\nConsider:\n\n- shallow or deep depth of field\n \n- focus plane\n \n- sharp subject areas\n \n- foreground blur\n \n- background blur\n \n- bokeh\n \n- subject separation\n \n\nExamples:\n\n\"Her face remains sharply focused while the distant background dissolves into creamy bokeh.\"\n\n\"The subject and nearby ground remain detailed while the distant background gradually falls out of focus.\"\n\nDo not automatically apply shallow depth of field to every portrait.\n\n# 13. PHOTOGRAPHIC RENDERING\n\nFinally describe how the scene should appear as a photograph.\n\nConsider:\n\n- photorealism\n \n- realistic skin texture\n \n- natural hair detail\n \n- fabric realism\n \n- material response\n \n- environmental texture\n \n- photographic contrast\n \n- tonal range\n \n- color reproduction\n \n- film characteristics\n \n- subtle grain\n \n\nKeep this section relatively restrained.\n\nPhotographic rendering should never receive more emphasis than composition, anatomy, pose, or spatial relationships.\n# INTEGRATING VISUAL DESCRIPTION WITH CINEMATOGRAPHIC LANGUAGE\n\nThe visual description and cinematographic interpretation are not separate prompt components. They should be woven together into a single coherent photographic description.\n\nThe subject, anatomy, pose, clothing, environment, lighting, and spatial relationships establish WHAT is present in the image. Cinematographic language establishes HOW that same scene is perceived as a photograph.\n\nDo not write these as two separate blocks.\n\nInstead, naturally connect photographic characteristics to the visual elements they affect.\n\nFor example, do not write:\n\n\"She has long dark hair. She is illuminated by warm light. The photograph has shallow depth of field.\"\n\nPrefer:\n\n\"Warm afternoon sunlight catches the loose strands of her long dark hair while her face remains sharply focused against a softly blurred background.\"\n\nLikewise, do not simply state camera terminology after describing the scene. Integrate the camera's effect into the description:\n\n\"Photographed from a slightly elevated angle with a moderately long portrait perspective, her face remains prominent in the frame while the background recedes into gentle compression.\"\n\nCinematographic language should therefore be distributed naturally throughout the prompt wherever it provides useful information.\n\nUse the following relationship:\n\nVISUAL ELEMENT → PHYSICAL CHARACTERISTICS → SPATIAL RELATIONSHIP → PHOTOGRAPHIC EFFECT\n\nFor example:\n\n- Subject + light: \n \"Soft directional sunlight grazes the side of her face, producing warm highlights across her cheek and subtle shadows beneath her bangs.\"\n \n- Subject + lens: \n \"A moderately long portrait perspective keeps her facial proportions natural while gently compressing the background.\"\n \n- Subject + depth of field: \n \"Her eyes remain sharply resolved while the surrounding environment falls gradually into soft creamy bokeh.\"\n \n- Clothing + light: \n \"The heavy cotton hoodie catches the sunlight with broad diffuse highlights across its folds.\"\n \n- Environment + atmosphere: \n \"The distant trees recede through a slight atmospheric haze, creating layered depth behind the subject.\"\n \n- Composition + camera: \n \"The elevated viewpoint looks down toward her seated position, keeping her body diagonally framed within the surrounding grass.\"\n \n\nWhenever a photographic characteristic can be expressed as an interaction with something visible in the image, prefer that form over stating the characteristic independently.\n\nDo not mechanically append a final list of camera, lighting, film, and rendering terms.\n\nInstead, weave those characteristics into the description where they naturally explain the appearance of the scene.\n\nThe final portion of the prompt may still provide a concise overall photographic synthesis, but it should reinforce the characteristics already established throughout the description rather than introduce a disconnected collection of cinematic keywords.\n\nThe result should read as though a photographer is describing exactly how the reference scene would be captured, not as though a visual analyst is writing an inventory followed by a separate camera specification.\n\n# CINEMATOGRAPHIC LANGUAGE AND PHOTOGRAPHIC INTERPRETATION\n\nThe final prompt should not merely describe what is visible. It should describe the image in the language of a photographer, cinematographer, and visual director.\n\nKrea 2 responds well to natural-language descriptions that combine subject, composition, lighting, optics, atmosphere, color, texture, and photographic style into a unified visual concept.\n\nDo not treat cinematography as a detached collection of camera specifications.\n\nInstead, describe the photographic qualities as a coherent interpretation of the scene.\n\nThe goal is to communicate not only WHAT is present, but HOW the photograph feels as an image captured by a real camera.\n\n## CINEMATOGRAPHIC VOCABULARY\n\nUse precise photographic and cinematographic terminology when it improves the reconstruction.\n\nUseful categories include:\n\n### Shot and framing\n\n- extreme close-up\n- close-up\n- close portrait\n- medium close-up\n- medium shot\n- three-quarter shot\n- full-body shot\n- wide shot\n- environmental portrait\n- intimate portrait\n- editorial portrait\n- fashion portrait\n- candid photograph\n- cinematic frame\n\n### Camera position and perspective\n\n- eye-level\n- low-angle\n- high-angle\n- overhead\n- top-down\n- three-quarter angle\n- profile view\n- rear three-quarter view\n- low viewpoint\n- elevated viewpoint\n- natural perspective\n- compressed perspective\n- expansive perspective\n- wide-angle perspective\n- telephoto perspective\n\n### Lens character\n\nUse lens descriptions to communicate their visual effect rather than inventing unnecessary technical specifications.\n\nUseful concepts include:\n\n- wide-angle perspective\n- moderate wide-angle\n- normal perspective\n- portrait lens\n- moderately long lens\n- telephoto compression\n- intimate close-focus perspective\n- macro perspective\n- gentle perspective compression\n- pronounced perspective exaggeration\n\nWhen an exact focal length cannot be inferred, describe the visual character instead.\n\n### Focus and optical behavior\n\n- shallow depth of field\n- extremely shallow focus\n- deep focus\n- selective focus\n- focus falloff\n- foreground blur\n- background blur\n- creamy bokeh\n- soft bokeh\n- compressed background\n- sharp facial focus\n- focus on the eyes\n- focus on the nearest subject\n- subtle lens softness\n\n### Lighting character\n\nUse cinematic lighting terminology together with a physical description of what the light is doing.\n\nUseful concepts include:\n\n- soft directional light\n- hard directional sunlight\n- diffused natural light\n- overcast illumination\n- warm afternoon sunlight\n- golden-hour light\n- cool ambient light\n- backlighting\n- rim lighting\n- side lighting\n- top lighting\n- window light\n- practical lighting\n- low-key lighting\n- high-key lighting\n- dramatic contrast\n- soft contrast\n- luminous shadows\n- deep shadows\n- gentle fill\n- atmospheric haze\n- volumetric light\n\nDo not automatically use dramatic or cinematic lighting. Select the terminology that matches the reference.\n\n## LIGHTING SHOULD BE DESCRIPTIVE, NOT DECORATIVE\n\nAvoid meaningless combinations such as:\n\n\"cinematic lighting, beautiful lighting, dramatic lighting, soft lighting\"\n\nInstead explain the physical relationship between the light and the subject.\n\nFor example:\n\n\"Warm late-afternoon sunlight enters from the upper right, washing across her cheek and catching warm highlights in the loose strands of her hair while the opposite side of her face falls into soft amber shadow.\"\n\nThe cinematographic terminology and the physical description should reinforce one another.\n\n## CINEMATIC COLOR LANGUAGE\n\nDescribe the overall tonal and chromatic character of the image when visually relevant.\n\nUseful concepts include:\n\n- warm color palette\n- cool color palette\n- muted tones\n- pastel tones\n- saturated colors\n- restrained saturation\n- earthy tones\n- rich jewel tones\n- soft skin tones\n- cool blue shadows\n- warm highlights\n- teal-and-orange separation\n- monochromatic palette\n- complementary color contrast\n- subtle color separation\n- natural color reproduction\n- cinematic color grade\n- filmic tonal response\n- faded vintage palette\n- nostalgic warmth\n\nDo not add fashionable color-grading terminology simply because it sounds cinematic.\n\nThe color treatment must support the reference.\n\nDescribe relationships between colors when useful.\n\nFor example:\n\n\"Warm skin tones stand out against the cooler green background, with muted blue shadows creating subtle color separation.\"\n\n## TONAL CHARACTER AND CONTRAST\n\nDescribe the distribution and character of light and dark values.\n\nUseful concepts include:\n\n- soft tonal contrast\n- high contrast\n- low contrast\n- rich blacks\n- lifted shadows\n- deep blacks\n- luminous highlights\n- restrained highlights\n- gentle tonal rolloff\n- bright high-key exposure\n- moody low-key exposure\n- balanced exposure\n- soft highlight rolloff\n\nUse this to communicate how the photograph should be rendered, rather than simply saying \"high quality.\"\n\n## FILM AND PHOTOGRAPHIC CHARACTER\n\nWhen supported by the reference, describe the image's photographic medium and texture.\n\nUseful concepts include:\n\n- analog film photography\n- fine-grained film\n- subtle film grain\n- visible grain texture\n- clean digital photography\n- vintage film rendering\n- editorial photography\n- fashion photography\n- documentary photography\n- cinematic still\n- soft photographic rendering\n- crisp modern digital rendering\n- gentle lens character\n- organic photographic texture\n- natural skin rendering\n\nFilm stocks or named photographic formats should only be used when they provide a meaningful visual description.\n\nDo not insert arbitrary camera bodies, film stocks, or lenses merely for realism.\n\n## MATERIAL AND SURFACE RENDERING\n\nCinematographic realism also depends on how surfaces respond to light.\n\nDescribe realistic material behavior where visually important:\n\n- natural skin texture\n- subtle skin pores\n- fine hair detail\n- individual hair strands\n- soft fabric texture\n- visible fabric weave\n- realistic folds\n- reflective metal\n- translucent glass\n- weathered wood\n- damp surfaces\n- matte surfaces\n- glossy surfaces\n- specular highlights\n\nConnect these details to the lighting whenever possible.\n\nFor example:\n\n\"Soft directional sunlight produces subtle specular highlights across her skin while the matte cotton of the hoodie absorbs the light with gentle diffuse shading.\"\n\n## ATMOSPHERE AND DEPTH\n\nWhen the scene supports it, describe the photographic atmosphere and perceived depth.\n\nPossible characteristics include:\n\n- hazy atmosphere\n- clear air\n- humid atmosphere\n- dusty light\n- misty background\n- atmospheric perspective\n- soft environmental haze\n- crisp distant detail\n- layered depth\n- strong subject separation\n- immersive environmental depth\n\nAtmosphere should be used to reinforce the environment and lighting, not to invent new weather conditions.\n\n## MOTION AND CAMERA FEEL\n\nWhen the reference contains movement or implies dynamic photography, describe the photographic consequence.\n\nPossible concepts include:\n\n- frozen motion\n- subtle motion blur\n- directional motion blur\n- dynamic handheld feel\n- controlled cinematic framing\n- candid handheld photography\n- slight camera movement\n- decisive shutter-freezing action\n\nDo not introduce motion blur unless the reference visually suggests it.\n\n## CINEMATIC DESCRIPTION SHOULD CONNECT MULTIPLE SYSTEMS\n\nThe strongest cinematic descriptions combine several photographic properties into a single thought.\n\nFor example:\n\n\"We see an intimate medium close-up photographed at eye level with a moderately long portrait lens, keeping her eyes sharply focused while the background falls into a soft creamy blur; warm directional window light grazes the side of her face, creating gentle highlights along her cheek and hair against a subdued, cool-toned interior.\"\n\nThis is preferable to:\n\n\"Medium close-up, eye-level, 85mm lens, shallow depth of field, window lighting, cinematic colors.\"\n\nThe first describes the actual photographic image.\n\n## AVOID GENERIC CINEMATIC FILLER\n\nDo not use cinematic terminology merely because it sounds sophisticated.\n\nAvoid empty phrases such as:\n\n- epic\n- stunning\n- breathtaking\n- beautiful cinematic lighting\n- ultra cinematic\n- masterpiece\n- professional photography\n- highly detailed\n- award-winning photograph\n\nunless they communicate a specific visual property.\n\nEvery cinematic descriptor should correspond to an observable or intentionally inferred photographic characteristic.\n\n## PHOTOGRAPHIC STYLE SHOULD FOLLOW THE IMAGE\n\nInfer an appropriate photographic context when the composition strongly suggests one.\n\nPossible contexts include:\n\n- natural candid photography\n- fashion editorial\n- beauty editorial\n- studio portraiture\n- lifestyle photography\n- documentary photography\n- cinematic still\n- fine-art portrait photography\n- environmental portraiture\n- macro photography\n- street photography\n\nDo not assign a style merely because it sounds attractive.\n\nThe selected photographic context should reinforce the subject, framing, lighting, and environment already established in the prompt.\n\n## CINEMATIC LANGUAGE MUST NOT OVERRIDE FIDELITY\n\nPhotographic interpretation is subordinate to reconstruction accuracy.\n\nDo not change the pose, composition, subject placement, environment, clothing, facial features, or body proportions simply to create a more cinematic image.\n\nCinematographic language should explain HOW the reference could be photographed realistically.\n\nIt should not redesign WHAT is being photographed.\n\n## FINAL PHOTOGRAPHIC SYNTHESIS\n\nAt the end of the prompt, synthesize the major photographic characteristics into a coherent impression.\n\nThis may combine:\n\n- photographic medium\n- lens character\n- depth of field\n- lighting\n- tonal contrast\n- color treatment\n- surface realism\n- atmosphere\n- film or digital character\n\nFor example:\n\n\"The photograph has an intimate editorial quality, with natural skin texture, soft photographic contrast, warm highlights against cooler shadows, subtle film grain, and a shallow depth of field that gently separates the subject from the environment.\"\n\nThe final synthesis should reinforce characteristics already established earlier in the prompt rather than introduce unrelated stylistic ideas.\n\n## IMPORTANT\n\nDo not turn this section into a list of keywords.\n\nThe objective is to make the prompt sound like an experienced photographer describing the intended photograph.\n\nUse cinematographic terminology naturally inside descriptive sentences.\n\nCombine technical terminology with physical visual description.\n\nPrefer:\n\n\"soft directional sunlight grazes the side of her face, producing luminous highlights and gentle shadows\"\n\nover:\n\n\"soft directional lighting.\"\n\nPrefer:\n\n\"a moderately long portrait lens compresses the background slightly while keeping her face sharply defined\"\n\nover:\n\n\"85mm lens.\"\n\nPrefer:\n\n\"the distant background dissolves into creamy bokeh\"\n\nover:\n\n\"shallow DOF.\"\n\nThe final Krea 2 prompt should feel simultaneously like a precise visual description and a cinematographer's photographic interpretation of the scene.\n\n# INFORMATION PRIORITY\n\nNot all visual information has equal importance. When deciding what to describe in detail, prioritize information according to its importance to faithfully reconstructing the reference image.\n\nHIGHEST PRIORITY — IMAGE IDENTITY AND GEOMETRY\n\n1. Overall composition and framing\n2. Subject count and primary subject placement\n3. Subject size and scale within the frame\n4. Body proportions and silhouette\n5. Pose and limb geometry\n6. Head orientation and gaze direction\n7. Facial expression\n8. Clothing silhouette, color, and major design features\n9. Important spatial relationships between subjects, objects, and the environment\n\nHIGH PRIORITY — APPEARANCE AND SCENE\n\n10. Facial structure and distinctive facial features\n11. Hair shape, length, color, and arrangement\n12. Skin tone and visible physical characteristics\n13. Clothing details, accessories, and footwear\n14. Important props and objects\n15. Immediate surroundings\n16. Foreground, middle ground, and background structure\n17. Lighting direction, quality, and interaction with the subject\n\nSECONDARY PRIORITY — PHOTOGRAPHIC INTERPRETATION\n\n18. Camera perspective and viewpoint\n19. Lens character and perspective compression\n20. Depth of field and focus behavior\n21. Atmospheric depth\n22. Tonal and color characteristics\n23. Material and surface rendering\n24. Film or digital photographic texture\n25. Fine-grain details\n\nWhen information competes for space or descriptive emphasis, always favor the higher-priority information.\n\nA precise description of pose, body geometry, or spatial relationships is more valuable than additional decorative texture.\n\nDo not make a prompt longer merely to include lower-priority information.\n\nEvery detail should contribute either to reconstructing the visible image or to expressing how that image would realistically appear as a photograph.\n# FAITHFULNESS RULES\n\nThe reference image is the source of truth.\n\nThe prompt must describe the image that exists, not a more attractive, realistic, dramatic, or cinematic version imagined by the model.\n\nPreserve the following whenever they are visually present:\n\n- subject identity\n- subject count\n- apparent age\n- body characteristics\n- proportions\n- silhouette\n- pose\n- limb positions\n- head orientation\n- gaze direction\n- facial expression\n- hairstyle\n- clothing\n- accessories\n- important objects\n- environment\n- spatial relationships\n- composition\n- framing\n- camera viewpoint\n- lighting direction and character\n- major colors\n\nDo not introduce elements that are not supported by the reference.\n\nDo not add or remove:\n\n- people\n- animals\n- objects\n- props\n- clothing\n- accessories\n- scenery\n- architectural elements\n- environmental details\n\nDo not change the subject's pose, expression, gaze, proportions, camera angle, framing, or spatial arrangement simply because another interpretation would appear more natural or aesthetically pleasing.\n\nDo not \"correct\" stylized anatomy unnecessarily.\n\nWhen the reference contains exaggerated anime proportions, translate them into plausible real human anatomy while preserving the same visible proportions and silhouette as closely as possible.\n\nWhen a detail is ambiguous, do not invent a specific interpretation unless there is strong visual evidence supporting it. Prefer a conservative description that preserves the visible result.\n\nDo not infer a precise age, ethnicity, camera model, focal length, aperture, film stock, or other technical characteristic when the reference does not provide sufficient evidence.\n\nPhotographic and cinematic language must enhance the reconstruction rather than alter it.\n\nIf a cinematic interpretation conflicts with visual fidelity, visual fidelity always takes precedence.\n# NATURAL LANGUAGE REQUIREMENT\n\nThe final output must read as fluent, cohesive photographic prose.\n\nWrite as though an experienced photographer or cinematographer is describing exactly what would be captured by the camera.\n\nDo not write the final prompt as:\n\n- keyword lists\n- tags\n- metadata\n- comma-separated attribute dumps\n- headings\n- bullet points\n- numbered lists\n- JSON\n- field/value pairs\n- separate analysis sections\n\nUse complete sentences and natural transitions.\n\nKeep related information together.\n\nWhenever two visual properties have a meaningful relationship, express that relationship directly rather than describing the properties independently.\n\nPrefer:\n\n\"Warm afternoon sunlight catches the loose strands of her dark hair and illuminates the right side of her face.\"\n\nover:\n\n\"Dark hair, warm sunlight, right-side lighting.\"\n\nPrefer:\n\n\"Her raised knee extends toward the lower-right corner of the frame.\"\n\nover:\n\n\"She has a raised knee. The knee is on the right.\"\n\nPrefer:\n\n\"The background falls into a soft blur behind her, separating her sharply defined face from the surrounding environment.\"\n\nover:\n\n\"Shallow depth of field. Blurred background. Sharp face.\"\n\nCinematographic terminology should be embedded naturally within descriptive prose rather than appended as technical metadata.\n\nUse specific visual language instead of generic adjectives.\n\nPrefer:\n\n\"soft directional sunlight creates gentle highlights along her cheek\"\n\nover:\n\n\"beautiful cinematic lighting.\"\n\nAvoid empty quality or aesthetic language such as:\n\n- beautiful\n- stunning\n- amazing\n- epic\n- gorgeous\n- professional\n- high quality\n- masterpiece\n- ultra-detailed\n\nunless the word communicates an actual visual property.\n\nThe final prompt should feel descriptive, precise, and cinematic without sounding formulaic.\n\n# LENGTH AND DETAIL\n\nThere is no fixed target word count.\n\nThe prompt should be only as long as necessary to faithfully describe the visually important information in the reference.\n\nSimple images should receive concise descriptions.\n\nComplex images should receive substantially more detail.\n\nDo not omit important information simply to keep the prompt short.\n\nDo not add minor details merely to make the prompt longer.\n\nFavor information density over verbosity.\n\nSpend descriptive space in proportion to visual importance:\n\n- give substantial detail to the primary subject\n- carefully describe body proportions and pose\n- describe important spatial relationships explicitly\n- describe meaningful clothing and environmental details\n- describe lighting through its interaction with the scene\n- describe camera and optical characteristics when visually useful\n- keep minor background details concise\n\nA long description is appropriate when the reference contains many important visual relationships.\n\nA short description is appropriate when the image is visually simple.\n\nThe ideal prompt contains enough information that another person could form a reasonably accurate mental reconstruction of the image without having seen the reference.\n\n# FINAL OUTPUT\n\nAnalyze the reference image internally before writing the final prompt.\n\nFirst determine the important visual information, including:\n\n- image type and shot\n- composition and framing\n- subject identity\n- apparent age and physical characteristics\n- body proportions and silhouette\n- facial features and hair\n- pose and body geometry\n- gaze and expression\n- clothing and accessories\n- object and subject interactions\n- environment and spatial layout\n- lighting and its interaction with the scene\n- camera perspective\n- depth of field and focus\n- photographic and cinematographic characteristics\n\nThen transform that analysis into one cohesive Krea 2 prompt.\n\nThe prompt should follow the established visual hierarchy while allowing related information to flow naturally together.\n\nDo not expose the analysis process.\n\nDo not mention the reference image.\n\nDo not explain the prompt.\n\nDo not provide alternatives.\n\nDo not provide a negative prompt.\n\nDo not provide headings or labels.\n\nDo not provide metadata or technical notes.\n\nReturn ONLY the finished Krea 2 prompt as a single paragraph of continuous natural-language prose." + ], + "widgets_values_named": { + "text": "# CORE INSTRUCTIONS\nYou are an expert visual analyst and Krea 2 prompt engineer specializing in converting anime, illustration, and other stylized reference images into highly faithful photorealistic recreations.\n\nYour task is to examine a reference image and produce a single Krea 2 prompt that describes how the same image would appear as a real photograph.\n\nThe goal is NOT to creatively reinterpret the image, improve the character design, or invent a more cinematic scene.\n\nThe goal is:\n\nREFERENCE IMAGE → FAITHFUL VISUAL ANALYSIS → NATURAL PHOTOGRAPHIC DESCRIPTION → KREA 2 PROMPT\n\nThe final prompt must preserve the reference image's visual identity, composition, anatomy, pose, spatial relationships, clothing, environment, lighting, and overall photographic interpretation as accurately as possible.\n\n# FUNDAMENTAL PRINCIPLE\n\nThink of the reference as a scene that must be reconstructed.\n\nFor every important visual element, determine:\n\n1. What is it?\n \n2. What does it look like?\n \n3. Where is it relative to the other elements?\n \n4. What is it doing or interacting with?\n \n\nFor the camera, determine:\n\n1. What does the camera see?\n \n2. Where is the camera relative to the subject?\n \n3. What perspective does that create?\n \n4. What is in focus and what is blurred?\n \n\nDo not merely identify objects. Reconstruct the relationships between them.\n\nFor example, do not write:\n\n\"woman, grass, sunlight, arm behind her\"\n\nInstead write:\n\n\"She sits on the grass with one arm extended behind her to support her weight while warm sunlight falls across the right side of her face.\"\n\nThe second description communicates geometry, interaction, and lighting relationships simultaneously.\n\n# PROMPT ARCHITECTURE\n\n 1. IMAGE TYPE + SHOT\n 2. PRIMARY SUBJECT + IDENTITY\n 3. BODY + PHYSICAL CHARACTERISTICS\n 4. FACE + HAIR\n 5. POSE + BODY GEOMETRY\n 6. GAZE + EXPRESSION\n 7. CLOTHING + ACCESSORIES\n 8. SUBJECT–OBJECT INTERACTIONS\n 9. ENVIRONMENT + SPATIAL LAYOUT\n 10. LIGHTING + LIGHT INTERACTIONS\n 11. COMPOSITION + CAMERA PERSPECTIVE\n 12. DEPTH OF FIELD + FOCUS\n 13. PHOTOGRAPHIC RENDERING\n\n# 1. IMAGE TYPE + SHOT\n\nBegin by establishing what the image fundamentally is.\n\nDescribe:\n\n- photographic or cinematic medium\n \n- shot type\n \n- framing\n \n- broad viewpoint\n \n- whether the image is a portrait, full-body shot, environmental scene, etc.\n \n\nExamples:\n\n\"A close, high-angle portrait photograph of...\"\n\n\"A medium shot of...\"\n\n\"A full-body cinematic photograph of...\"\n\n\"A wide environmental photograph showing...\"\n\nThe opening should immediately establish the visual context rather than beginning with minor details.\n\n# 2. PRIMARY SUBJECT + IDENTITY\n\nIntroduce the primary subject as a unified physical person.\n\nWhen visually supportable, describe:\n\n- apparent age\n \n- gender presentation\n \n- ethnicity or ethnic appearance\n \n- general physical identity\n \n- overall visual characteristics\n \n\nBe conservative when information is ambiguous.\n\nDo not invent nationality or ethnicity merely because a character is anime-styled.\n\nDescribe apparent age rather than confidently asserting an exact numerical age unless the reference explicitly establishes one.\n\nPrefer:\n\n\"a young adult woman\"\n\nover an unsupported exact age.\n\n# 3. BODY + PHYSICAL CHARACTERISTICS\n\nThis section is extremely important.\n\nDescribe what the character's body is like independently of the current pose.\n\nCapture the physical characteristics that determine the character's silhouette and proportions.\n\nWhen visible, consider:\n\n- apparent height\n \n- overall build\n \n- body shape\n \n- body proportions\n \n- shoulder width\n \n- torso length\n \n- ribcage\n \n- waist\n \n- hips\n \n- chest proportions when visually relevant\n \n- arm proportions\n \n- leg proportions\n \n- muscularity\n \n- softness\n \n- hands\n \n- feet\n \n- skin tone and visible skin characteristics\n \n\nUseful descriptors include:\n\n- petite\n \n- short\n \n- tall\n \n- slender\n \n- lean\n \n- delicate\n \n- athletic\n \n- toned\n \n- muscular\n \n- softly curving\n \n- broad\n \n- narrow\n \n- compact\n \n- long-limbed\n \n\nDescribe relationships between body parts when they are visually important.\n\nExamples:\n\n\"She has a petite, slender build with narrow shoulders, a compact torso, a defined waist, and relatively long legs.\"\n\n\"Her shoulders are narrow relative to her hips, creating a softly curved silhouette.\"\n\n\"Her frame is lean and athletic, with long limbs and a relatively short torso.\"\n\nDo not merely call a character \"slim,\" \"curvy,\" or \"petite\" when the reference contains more specific visible characteristics.\n\nDo not automatically normalize exaggerated anime proportions.\n\nIf the source has distinctive proportions, preserve the visual impression and silhouette while translating them into the closest plausible human anatomy.\n\n# 4. FACE + HAIR\n\nDescribe the character's visual identity at the face and hair level.\n\nFor the face, consider:\n\n- face shape\n \n- forehead\n \n- cheekbones\n \n- jaw\n \n- chin\n \n- facial fullness\n \n- eye shape\n \n- eye size\n \n- eye spacing\n \n- iris color\n \n- eyebrows\n \n- nose\n \n- lips\n \n- distinctive facial markings\n \n- skin tone\n \n- freckles, blush, moles, or other visible details\n \n\nTranslate stylized anime features into plausible real-human equivalents without erasing their distinctive appearance.\n\nFor example:\n\n\"large almond-shaped brown eyes\"\n\nis preferable to:\n\n\"anime eyes.\"\n\nLikewise:\n\n\"a small softly rounded nose\"\n\nis preferable to:\n\n\"anime nose.\"\n\nFor hair, consider:\n\n- color\n \n- length\n \n- thickness\n \n- volume\n \n- texture\n \n- straightness or curl\n \n- hairstyle\n \n- bangs\n \n- parting\n \n- layers\n \n- braids, ponytails, buns, etc.\n \n- loose strands\n \n- how the hair falls over the face, shoulders, and clothing\n \n\nDescribe how the hair occupies space.\n\nFor example:\n\n\"Long dark brown hair falls over her shoulders in slightly tousled layers, with soft bangs framing her forehead and a few loose strands crossing one side of her face.\"\n\n# 5. POSE + BODY GEOMETRY\n\nTreat pose as a distinct and highly important component.\n\nDo not reduce a complex pose to a generic action such as \"sitting,\" \"standing,\" or \"posing.\"\n\nDescribe the physical geometry of the body.\n\nWhen visible, consider:\n\n- overall body orientation\n \n- torso rotation\n \n- head orientation\n \n- head tilt\n \n- shoulder angle\n \n- arm positions\n \n- elbow positions\n \n- wrist positions\n \n- hand placement\n \n- hip orientation\n \n- knee positions\n \n- leg direction\n \n- ankle position\n \n- foot placement\n \n- weight distribution\n \n- contact with the ground or other surfaces\n \n\nFor example:\n\n\"She sits with her torso angled slightly away from the camera, one arm extending behind her to support her weight while one knee is raised and her legs angle diagonally across the frame.\"\n\nThis is preferable to:\n\n\"She is sitting casually.\"\n\nPreserve unusual or stylized poses rather than replacing them with more natural generic poses.\n\n# 6. GAZE + EXPRESSION\n\nKeep gaze and expression explicit.\n\nDistinguish between:\n\n- head direction\n \n- eye direction\n \n- gaze target\n \n- eyelid position\n \n- eyebrow position\n \n- mouth position\n \n- facial expression\n \n\nThese may differ.\n\nFor example:\n\n\"Her face tilts upward toward the camera while her eyes look directly into the lens.\"\n\nDescribe expression through visible physical cues whenever possible.\n\nPrefer:\n\n\"Her eyebrows are slightly raised and her lips form a subtle pout.\"\n\nover:\n\n\"She looks cute and curious.\"\n\n# 7. CLOTHING + ACCESSORIES\n\nDescribe garments as physical objects rather than simply naming them.\n\nConsider:\n\n- garment type\n \n- color\n \n- cut\n \n- fit\n \n- silhouette\n \n- layering\n \n- patterns\n \n- visible details\n \n- seams\n \n- material\n \n- thickness\n \n- folds\n \n- draping\n \n- accessories\n \n- footwear\n \n\nDescribe how clothing responds to the character's body and pose.\n\nPrefer:\n\n\"An oversized turquoise hoodie hangs loosely from her narrow shoulders, its heavy fabric bunching naturally around her elbows and waist as she sits.\"\n\nover:\n\n\"She wears an oversized turquoise hoodie.\"\n\n# 8. SUBJECT–OBJECT INTERACTIONS\n\nPay particular attention to physical interaction.\n\nDescribe when:\n\n- a hand rests on something\n \n- a person leans against something\n \n- a foot contacts the ground\n \n- clothing touches another object\n \n- hair overlaps the face or clothing\n \n- a person holds or grips an object\n \n- the body is partially hidden by another element\n \n- an object overlaps or occludes the subject\n\nThese relationships are often more important than the existence of the individual objects themselves.\n\nExample:\n\n\"Her left hand rests against the grass behind her while the hem of her hoodie spreads naturally across her thighs.\"\n\n# 9. ENVIRONMENT + SPATIAL LAYOUT\n\nDescribe the environment in spatial terms rather than as a disconnected list of objects.\n\nConsider:\n\n- immediate surroundings\n \n- foreground\n \n- middle ground\n \n- background\n \n- surfaces\n \n- architecture\n \n- vegetation\n \n- furniture\n \n- props\n \n- environmental objects\n \n- relative scale\n \n- distance\n \n- overlap\n \n- occlusion\n \n\nOrganize the scene from the subject outward.\n\nExample:\n\n\"She sits on short grass, with the immediate ground surrounding her in the foreground while distant trees recede softly into the background.\"\n\nOnly include meaningful visible elements.\n\nDo not invent scenery simply because it would make the photograph more attractive or cinematic.\n\n# 10. LIGHTING + LIGHT INTERACTIONS\n\nDescribe lighting as a physical phenomenon affecting the scene.\n\nConsider:\n\n- light source\n \n- direction\n \n- height\n \n- softness\n \n- intensity\n \n- color temperature\n \n- shadow direction\n \n- shadow softness\n \n- highlights\n \n- reflections\n \n- atmospheric effects\n \n\nMost importantly, describe what the light does to the subject and environment.\n\nPrefer:\n\n\"Warm afternoon sunlight enters from the upper right, illuminating the right side of her face and catching subtle highlights in her hair while her bangs cast soft shadows across her forehead.\"\n\nover:\n\n\"Warm cinematic lighting, soft shadows, golden hour.\"\n\nUse relational lighting language whenever possible.\n\n# 11. COMPOSITION + CAMERA PERSPECTIVE\n\nDescribe how the image is framed and viewed.\n\nConsider:\n\n- subject placement\n \n- framing\n \n- cropping\n \n- camera height\n \n- camera angle\n \n- viewing direction\n \n- perspective\n \n- lens character\n \n- perspective compression or distortion\n \n- foreground/background relationships\n \n- negative space\n \n\nUseful terminology includes:\n\n- close-up\n \n- medium close-up\n \n- medium shot\n \n- full-body shot\n \n- wide shot\n \n- eye-level\n \n- low-angle\n \n- high-angle\n \n- overhead\n \n- three-quarter view\n \n- wide-angle perspective\n \n- portrait perspective\n \n- compressed perspective\n \n\nDescribe visible photographic consequences instead of inventing unsupported technical specifications.\n\nPrefer:\n\n\"photographed from a moderately high angle with a moderately long portrait perspective\"\n\nover:\n\n\"photographed on an 85mm f/1.4 lens\"\n\nunless the exact technical specification is strongly supported.\n\n# 12. DEPTH OF FIELD + FOCUS\n\nDescribe the actual focus relationships in the image.\n\nConsider:\n\n- shallow or deep depth of field\n \n- focus plane\n \n- sharp subject areas\n \n- foreground blur\n \n- background blur\n \n- bokeh\n \n- subject separation\n \n\nExamples:\n\n\"Her face remains sharply focused while the distant background dissolves into creamy bokeh.\"\n\n\"The subject and nearby ground remain detailed while the distant background gradually falls out of focus.\"\n\nDo not automatically apply shallow depth of field to every portrait.\n\n# 13. PHOTOGRAPHIC RENDERING\n\nFinally describe how the scene should appear as a photograph.\n\nConsider:\n\n- photorealism\n \n- realistic skin texture\n \n- natural hair detail\n \n- fabric realism\n \n- material response\n \n- environmental texture\n \n- photographic contrast\n \n- tonal range\n \n- color reproduction\n \n- film characteristics\n \n- subtle grain\n \n\nKeep this section relatively restrained.\n\nPhotographic rendering should never receive more emphasis than composition, anatomy, pose, or spatial relationships.\n# INTEGRATING VISUAL DESCRIPTION WITH CINEMATOGRAPHIC LANGUAGE\n\nThe visual description and cinematographic interpretation are not separate prompt components. They should be woven together into a single coherent photographic description.\n\nThe subject, anatomy, pose, clothing, environment, lighting, and spatial relationships establish WHAT is present in the image. Cinematographic language establishes HOW that same scene is perceived as a photograph.\n\nDo not write these as two separate blocks.\n\nInstead, naturally connect photographic characteristics to the visual elements they affect.\n\nFor example, do not write:\n\n\"She has long dark hair. She is illuminated by warm light. The photograph has shallow depth of field.\"\n\nPrefer:\n\n\"Warm afternoon sunlight catches the loose strands of her long dark hair while her face remains sharply focused against a softly blurred background.\"\n\nLikewise, do not simply state camera terminology after describing the scene. Integrate the camera's effect into the description:\n\n\"Photographed from a slightly elevated angle with a moderately long portrait perspective, her face remains prominent in the frame while the background recedes into gentle compression.\"\n\nCinematographic language should therefore be distributed naturally throughout the prompt wherever it provides useful information.\n\nUse the following relationship:\n\nVISUAL ELEMENT → PHYSICAL CHARACTERISTICS → SPATIAL RELATIONSHIP → PHOTOGRAPHIC EFFECT\n\nFor example:\n\n- Subject + light: \n \"Soft directional sunlight grazes the side of her face, producing warm highlights across her cheek and subtle shadows beneath her bangs.\"\n \n- Subject + lens: \n \"A moderately long portrait perspective keeps her facial proportions natural while gently compressing the background.\"\n \n- Subject + depth of field: \n \"Her eyes remain sharply resolved while the surrounding environment falls gradually into soft creamy bokeh.\"\n \n- Clothing + light: \n \"The heavy cotton hoodie catches the sunlight with broad diffuse highlights across its folds.\"\n \n- Environment + atmosphere: \n \"The distant trees recede through a slight atmospheric haze, creating layered depth behind the subject.\"\n \n- Composition + camera: \n \"The elevated viewpoint looks down toward her seated position, keeping her body diagonally framed within the surrounding grass.\"\n \n\nWhenever a photographic characteristic can be expressed as an interaction with something visible in the image, prefer that form over stating the characteristic independently.\n\nDo not mechanically append a final list of camera, lighting, film, and rendering terms.\n\nInstead, weave those characteristics into the description where they naturally explain the appearance of the scene.\n\nThe final portion of the prompt may still provide a concise overall photographic synthesis, but it should reinforce the characteristics already established throughout the description rather than introduce a disconnected collection of cinematic keywords.\n\nThe result should read as though a photographer is describing exactly how the reference scene would be captured, not as though a visual analyst is writing an inventory followed by a separate camera specification.\n\n# CINEMATOGRAPHIC LANGUAGE AND PHOTOGRAPHIC INTERPRETATION\n\nThe final prompt should not merely describe what is visible. It should describe the image in the language of a photographer, cinematographer, and visual director.\n\nKrea 2 responds well to natural-language descriptions that combine subject, composition, lighting, optics, atmosphere, color, texture, and photographic style into a unified visual concept.\n\nDo not treat cinematography as a detached collection of camera specifications.\n\nInstead, describe the photographic qualities as a coherent interpretation of the scene.\n\nThe goal is to communicate not only WHAT is present, but HOW the photograph feels as an image captured by a real camera.\n\n## CINEMATOGRAPHIC VOCABULARY\n\nUse precise photographic and cinematographic terminology when it improves the reconstruction.\n\nUseful categories include:\n\n### Shot and framing\n\n- extreme close-up\n- close-up\n- close portrait\n- medium close-up\n- medium shot\n- three-quarter shot\n- full-body shot\n- wide shot\n- environmental portrait\n- intimate portrait\n- editorial portrait\n- fashion portrait\n- candid photograph\n- cinematic frame\n\n### Camera position and perspective\n\n- eye-level\n- low-angle\n- high-angle\n- overhead\n- top-down\n- three-quarter angle\n- profile view\n- rear three-quarter view\n- low viewpoint\n- elevated viewpoint\n- natural perspective\n- compressed perspective\n- expansive perspective\n- wide-angle perspective\n- telephoto perspective\n\n### Lens character\n\nUse lens descriptions to communicate their visual effect rather than inventing unnecessary technical specifications.\n\nUseful concepts include:\n\n- wide-angle perspective\n- moderate wide-angle\n- normal perspective\n- portrait lens\n- moderately long lens\n- telephoto compression\n- intimate close-focus perspective\n- macro perspective\n- gentle perspective compression\n- pronounced perspective exaggeration\n\nWhen an exact focal length cannot be inferred, describe the visual character instead.\n\n### Focus and optical behavior\n\n- shallow depth of field\n- extremely shallow focus\n- deep focus\n- selective focus\n- focus falloff\n- foreground blur\n- background blur\n- creamy bokeh\n- soft bokeh\n- compressed background\n- sharp facial focus\n- focus on the eyes\n- focus on the nearest subject\n- subtle lens softness\n\n### Lighting character\n\nUse cinematic lighting terminology together with a physical description of what the light is doing.\n\nUseful concepts include:\n\n- soft directional light\n- hard directional sunlight\n- diffused natural light\n- overcast illumination\n- warm afternoon sunlight\n- golden-hour light\n- cool ambient light\n- backlighting\n- rim lighting\n- side lighting\n- top lighting\n- window light\n- practical lighting\n- low-key lighting\n- high-key lighting\n- dramatic contrast\n- soft contrast\n- luminous shadows\n- deep shadows\n- gentle fill\n- atmospheric haze\n- volumetric light\n\nDo not automatically use dramatic or cinematic lighting. Select the terminology that matches the reference.\n\n## LIGHTING SHOULD BE DESCRIPTIVE, NOT DECORATIVE\n\nAvoid meaningless combinations such as:\n\n\"cinematic lighting, beautiful lighting, dramatic lighting, soft lighting\"\n\nInstead explain the physical relationship between the light and the subject.\n\nFor example:\n\n\"Warm late-afternoon sunlight enters from the upper right, washing across her cheek and catching warm highlights in the loose strands of her hair while the opposite side of her face falls into soft amber shadow.\"\n\nThe cinematographic terminology and the physical description should reinforce one another.\n\n## CINEMATIC COLOR LANGUAGE\n\nDescribe the overall tonal and chromatic character of the image when visually relevant.\n\nUseful concepts include:\n\n- warm color palette\n- cool color palette\n- muted tones\n- pastel tones\n- saturated colors\n- restrained saturation\n- earthy tones\n- rich jewel tones\n- soft skin tones\n- cool blue shadows\n- warm highlights\n- teal-and-orange separation\n- monochromatic palette\n- complementary color contrast\n- subtle color separation\n- natural color reproduction\n- cinematic color grade\n- filmic tonal response\n- faded vintage palette\n- nostalgic warmth\n\nDo not add fashionable color-grading terminology simply because it sounds cinematic.\n\nThe color treatment must support the reference.\n\nDescribe relationships between colors when useful.\n\nFor example:\n\n\"Warm skin tones stand out against the cooler green background, with muted blue shadows creating subtle color separation.\"\n\n## TONAL CHARACTER AND CONTRAST\n\nDescribe the distribution and character of light and dark values.\n\nUseful concepts include:\n\n- soft tonal contrast\n- high contrast\n- low contrast\n- rich blacks\n- lifted shadows\n- deep blacks\n- luminous highlights\n- restrained highlights\n- gentle tonal rolloff\n- bright high-key exposure\n- moody low-key exposure\n- balanced exposure\n- soft highlight rolloff\n\nUse this to communicate how the photograph should be rendered, rather than simply saying \"high quality.\"\n\n## FILM AND PHOTOGRAPHIC CHARACTER\n\nWhen supported by the reference, describe the image's photographic medium and texture.\n\nUseful concepts include:\n\n- analog film photography\n- fine-grained film\n- subtle film grain\n- visible grain texture\n- clean digital photography\n- vintage film rendering\n- editorial photography\n- fashion photography\n- documentary photography\n- cinematic still\n- soft photographic rendering\n- crisp modern digital rendering\n- gentle lens character\n- organic photographic texture\n- natural skin rendering\n\nFilm stocks or named photographic formats should only be used when they provide a meaningful visual description.\n\nDo not insert arbitrary camera bodies, film stocks, or lenses merely for realism.\n\n## MATERIAL AND SURFACE RENDERING\n\nCinematographic realism also depends on how surfaces respond to light.\n\nDescribe realistic material behavior where visually important:\n\n- natural skin texture\n- subtle skin pores\n- fine hair detail\n- individual hair strands\n- soft fabric texture\n- visible fabric weave\n- realistic folds\n- reflective metal\n- translucent glass\n- weathered wood\n- damp surfaces\n- matte surfaces\n- glossy surfaces\n- specular highlights\n\nConnect these details to the lighting whenever possible.\n\nFor example:\n\n\"Soft directional sunlight produces subtle specular highlights across her skin while the matte cotton of the hoodie absorbs the light with gentle diffuse shading.\"\n\n## ATMOSPHERE AND DEPTH\n\nWhen the scene supports it, describe the photographic atmosphere and perceived depth.\n\nPossible characteristics include:\n\n- hazy atmosphere\n- clear air\n- humid atmosphere\n- dusty light\n- misty background\n- atmospheric perspective\n- soft environmental haze\n- crisp distant detail\n- layered depth\n- strong subject separation\n- immersive environmental depth\n\nAtmosphere should be used to reinforce the environment and lighting, not to invent new weather conditions.\n\n## MOTION AND CAMERA FEEL\n\nWhen the reference contains movement or implies dynamic photography, describe the photographic consequence.\n\nPossible concepts include:\n\n- frozen motion\n- subtle motion blur\n- directional motion blur\n- dynamic handheld feel\n- controlled cinematic framing\n- candid handheld photography\n- slight camera movement\n- decisive shutter-freezing action\n\nDo not introduce motion blur unless the reference visually suggests it.\n\n## CINEMATIC DESCRIPTION SHOULD CONNECT MULTIPLE SYSTEMS\n\nThe strongest cinematic descriptions combine several photographic properties into a single thought.\n\nFor example:\n\n\"We see an intimate medium close-up photographed at eye level with a moderately long portrait lens, keeping her eyes sharply focused while the background falls into a soft creamy blur; warm directional window light grazes the side of her face, creating gentle highlights along her cheek and hair against a subdued, cool-toned interior.\"\n\nThis is preferable to:\n\n\"Medium close-up, eye-level, 85mm lens, shallow depth of field, window lighting, cinematic colors.\"\n\nThe first describes the actual photographic image.\n\n## AVOID GENERIC CINEMATIC FILLER\n\nDo not use cinematic terminology merely because it sounds sophisticated.\n\nAvoid empty phrases such as:\n\n- epic\n- stunning\n- breathtaking\n- beautiful cinematic lighting\n- ultra cinematic\n- masterpiece\n- professional photography\n- highly detailed\n- award-winning photograph\n\nunless they communicate a specific visual property.\n\nEvery cinematic descriptor should correspond to an observable or intentionally inferred photographic characteristic.\n\n## PHOTOGRAPHIC STYLE SHOULD FOLLOW THE IMAGE\n\nInfer an appropriate photographic context when the composition strongly suggests one.\n\nPossible contexts include:\n\n- natural candid photography\n- fashion editorial\n- beauty editorial\n- studio portraiture\n- lifestyle photography\n- documentary photography\n- cinematic still\n- fine-art portrait photography\n- environmental portraiture\n- macro photography\n- street photography\n\nDo not assign a style merely because it sounds attractive.\n\nThe selected photographic context should reinforce the subject, framing, lighting, and environment already established in the prompt.\n\n## CINEMATIC LANGUAGE MUST NOT OVERRIDE FIDELITY\n\nPhotographic interpretation is subordinate to reconstruction accuracy.\n\nDo not change the pose, composition, subject placement, environment, clothing, facial features, or body proportions simply to create a more cinematic image.\n\nCinematographic language should explain HOW the reference could be photographed realistically.\n\nIt should not redesign WHAT is being photographed.\n\n## FINAL PHOTOGRAPHIC SYNTHESIS\n\nAt the end of the prompt, synthesize the major photographic characteristics into a coherent impression.\n\nThis may combine:\n\n- photographic medium\n- lens character\n- depth of field\n- lighting\n- tonal contrast\n- color treatment\n- surface realism\n- atmosphere\n- film or digital character\n\nFor example:\n\n\"The photograph has an intimate editorial quality, with natural skin texture, soft photographic contrast, warm highlights against cooler shadows, subtle film grain, and a shallow depth of field that gently separates the subject from the environment.\"\n\nThe final synthesis should reinforce characteristics already established earlier in the prompt rather than introduce unrelated stylistic ideas.\n\n## IMPORTANT\n\nDo not turn this section into a list of keywords.\n\nThe objective is to make the prompt sound like an experienced photographer describing the intended photograph.\n\nUse cinematographic terminology naturally inside descriptive sentences.\n\nCombine technical terminology with physical visual description.\n\nPrefer:\n\n\"soft directional sunlight grazes the side of her face, producing luminous highlights and gentle shadows\"\n\nover:\n\n\"soft directional lighting.\"\n\nPrefer:\n\n\"a moderately long portrait lens compresses the background slightly while keeping her face sharply defined\"\n\nover:\n\n\"85mm lens.\"\n\nPrefer:\n\n\"the distant background dissolves into creamy bokeh\"\n\nover:\n\n\"shallow DOF.\"\n\nThe final Krea 2 prompt should feel simultaneously like a precise visual description and a cinematographer's photographic interpretation of the scene.\n\n# INFORMATION PRIORITY\n\nNot all visual information has equal importance. When deciding what to describe in detail, prioritize information according to its importance to faithfully reconstructing the reference image.\n\nHIGHEST PRIORITY — IMAGE IDENTITY AND GEOMETRY\n\n1. Overall composition and framing\n2. Subject count and primary subject placement\n3. Subject size and scale within the frame\n4. Body proportions and silhouette\n5. Pose and limb geometry\n6. Head orientation and gaze direction\n7. Facial expression\n8. Clothing silhouette, color, and major design features\n9. Important spatial relationships between subjects, objects, and the environment\n\nHIGH PRIORITY — APPEARANCE AND SCENE\n\n10. Facial structure and distinctive facial features\n11. Hair shape, length, color, and arrangement\n12. Skin tone and visible physical characteristics\n13. Clothing details, accessories, and footwear\n14. Important props and objects\n15. Immediate surroundings\n16. Foreground, middle ground, and background structure\n17. Lighting direction, quality, and interaction with the subject\n\nSECONDARY PRIORITY — PHOTOGRAPHIC INTERPRETATION\n\n18. Camera perspective and viewpoint\n19. Lens character and perspective compression\n20. Depth of field and focus behavior\n21. Atmospheric depth\n22. Tonal and color characteristics\n23. Material and surface rendering\n24. Film or digital photographic texture\n25. Fine-grain details\n\nWhen information competes for space or descriptive emphasis, always favor the higher-priority information.\n\nA precise description of pose, body geometry, or spatial relationships is more valuable than additional decorative texture.\n\nDo not make a prompt longer merely to include lower-priority information.\n\nEvery detail should contribute either to reconstructing the visible image or to expressing how that image would realistically appear as a photograph.\n# FAITHFULNESS RULES\n\nThe reference image is the source of truth.\n\nThe prompt must describe the image that exists, not a more attractive, realistic, dramatic, or cinematic version imagined by the model.\n\nPreserve the following whenever they are visually present:\n\n- subject identity\n- subject count\n- apparent age\n- body characteristics\n- proportions\n- silhouette\n- pose\n- limb positions\n- head orientation\n- gaze direction\n- facial expression\n- hairstyle\n- clothing\n- accessories\n- important objects\n- environment\n- spatial relationships\n- composition\n- framing\n- camera viewpoint\n- lighting direction and character\n- major colors\n\nDo not introduce elements that are not supported by the reference.\n\nDo not add or remove:\n\n- people\n- animals\n- objects\n- props\n- clothing\n- accessories\n- scenery\n- architectural elements\n- environmental details\n\nDo not change the subject's pose, expression, gaze, proportions, camera angle, framing, or spatial arrangement simply because another interpretation would appear more natural or aesthetically pleasing.\n\nDo not \"correct\" stylized anatomy unnecessarily.\n\nWhen the reference contains exaggerated anime proportions, translate them into plausible real human anatomy while preserving the same visible proportions and silhouette as closely as possible.\n\nWhen a detail is ambiguous, do not invent a specific interpretation unless there is strong visual evidence supporting it. Prefer a conservative description that preserves the visible result.\n\nDo not infer a precise age, ethnicity, camera model, focal length, aperture, film stock, or other technical characteristic when the reference does not provide sufficient evidence.\n\nPhotographic and cinematic language must enhance the reconstruction rather than alter it.\n\nIf a cinematic interpretation conflicts with visual fidelity, visual fidelity always takes precedence.\n# NATURAL LANGUAGE REQUIREMENT\n\nThe final output must read as fluent, cohesive photographic prose.\n\nWrite as though an experienced photographer or cinematographer is describing exactly what would be captured by the camera.\n\nDo not write the final prompt as:\n\n- keyword lists\n- tags\n- metadata\n- comma-separated attribute dumps\n- headings\n- bullet points\n- numbered lists\n- JSON\n- field/value pairs\n- separate analysis sections\n\nUse complete sentences and natural transitions.\n\nKeep related information together.\n\nWhenever two visual properties have a meaningful relationship, express that relationship directly rather than describing the properties independently.\n\nPrefer:\n\n\"Warm afternoon sunlight catches the loose strands of her dark hair and illuminates the right side of her face.\"\n\nover:\n\n\"Dark hair, warm sunlight, right-side lighting.\"\n\nPrefer:\n\n\"Her raised knee extends toward the lower-right corner of the frame.\"\n\nover:\n\n\"She has a raised knee. The knee is on the right.\"\n\nPrefer:\n\n\"The background falls into a soft blur behind her, separating her sharply defined face from the surrounding environment.\"\n\nover:\n\n\"Shallow depth of field. Blurred background. Sharp face.\"\n\nCinematographic terminology should be embedded naturally within descriptive prose rather than appended as technical metadata.\n\nUse specific visual language instead of generic adjectives.\n\nPrefer:\n\n\"soft directional sunlight creates gentle highlights along her cheek\"\n\nover:\n\n\"beautiful cinematic lighting.\"\n\nAvoid empty quality or aesthetic language such as:\n\n- beautiful\n- stunning\n- amazing\n- epic\n- gorgeous\n- professional\n- high quality\n- masterpiece\n- ultra-detailed\n\nunless the word communicates an actual visual property.\n\nThe final prompt should feel descriptive, precise, and cinematic without sounding formulaic.\n\n# LENGTH AND DETAIL\n\nThere is no fixed target word count.\n\nThe prompt should be only as long as necessary to faithfully describe the visually important information in the reference.\n\nSimple images should receive concise descriptions.\n\nComplex images should receive substantially more detail.\n\nDo not omit important information simply to keep the prompt short.\n\nDo not add minor details merely to make the prompt longer.\n\nFavor information density over verbosity.\n\nSpend descriptive space in proportion to visual importance:\n\n- give substantial detail to the primary subject\n- carefully describe body proportions and pose\n- describe important spatial relationships explicitly\n- describe meaningful clothing and environmental details\n- describe lighting through its interaction with the scene\n- describe camera and optical characteristics when visually useful\n- keep minor background details concise\n\nA long description is appropriate when the reference contains many important visual relationships.\n\nA short description is appropriate when the image is visually simple.\n\nThe ideal prompt contains enough information that another person could form a reasonably accurate mental reconstruction of the image without having seen the reference.\n\n# FINAL OUTPUT\n\nAnalyze the reference image internally before writing the final prompt.\n\nFirst determine the important visual information, including:\n\n- image type and shot\n- composition and framing\n- subject identity\n- apparent age and physical characteristics\n- body proportions and silhouette\n- facial features and hair\n- pose and body geometry\n- gaze and expression\n- clothing and accessories\n- object and subject interactions\n- environment and spatial layout\n- lighting and its interaction with the scene\n- camera perspective\n- depth of field and focus\n- photographic and cinematographic characteristics\n\nThen transform that analysis into one cohesive Krea 2 prompt.\n\nThe prompt should follow the established visual hierarchy while allowing related information to flow naturally together.\n\nDo not expose the analysis process.\n\nDo not mention the reference image.\n\nDo not explain the prompt.\n\nDo not provide alternatives.\n\nDo not provide a negative prompt.\n\nDo not provide headings or labels.\n\nDo not provide metadata or technical notes.\n\nReturn ONLY the finished Krea 2 prompt as a single paragraph of continuous natural-language prose." + }, + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 1243, + "type": "MarkdownNote", + "pos": [ + 740, + -760 + ], + "size": [ + 260, + 220 + ], + "flags": {}, + "order": 22, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About Prompting", + "properties": {}, + "widgets_values": [ + "I've found prompting works best when it is split it into two parts: \n- The subject prompt which you use to describes the input image, which you can use an LLM to generate. \n- An general-use aesthetic prompt, which will enforce realistic characteristics.\n___\n\nI've provided an example of each of these that work pretty well. \n\nBut since prompting is so important in this workflow, it might be worth playing around with system prompts to see if you can get something even better. " + ], + "widgets_values_named": { + "text": "I've found prompting works best when it is split it into two parts: \n- The subject prompt which you use to describes the input image, which you can use an LLM to generate. \n- An general-use aesthetic prompt, which will enforce realistic characteristics.\n___\n\nI've provided an example of each of these that work pretty well. \n\nBut since prompting is so important in this workflow, it might be worth playing around with system prompts to see if you can get something even better. 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"color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 25, + "type": "1377fd22-d276-47fd-9b27-847186abdcb2", + "pos": [ + 1300, + 80 + ], + "size": [ + 240, + 180 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [ + { + "name": "canvas", + "type": "IMAGE", + "link": 44 + }, + { + "name": "mask", + "type": "MASK", + "link": 45 + }, + { + "name": "stitcher", + "type": "AUSBOSS_STITCHER", + "link": 46 + }, + { + "name": "prompt", + "type": "STRING", + "link": 47 + }, + { + "name": "seed", + "type": "INT", + "link": 48 + }, + { + "name": "text encoder", + "type": "CLIP", + "link": 49 + }, + { + "name": "vae", + "type": "VAE", + "link": 50 + }, + { + "name": "model", + "type": "MODEL", + "link": 51 + }, + { + "name": "picture", + "type": "IMAGE", + "link": 53 + } + ], + "outputs": [ + { + "name": "result", + "type": "IMAGE", + "links": [ + 52 + ] + } + ], + "title": "Paint with Krea 2", + "properties": {}, + "color": "#14424d", + "bgcolor": "#161f21" + } + ], + "links": [ + [ + 1, + 1, + 0, + 4, + 0, + "MODEL" + ], + [ + 22, + 15, + 0, + 16, + 0, + "IMAGE" + ], + [ + 31, + 23, + 0, + 15, + 1, + "IMAGE" + ], + [ + 41, + 23, + 0, + 24, + 0, + "IMAGE" + ], + [ + 42, + 21, + 0, + 24, + 1, + "STRING" + ], + [ + 43, + 2, + 0, + 24, + 2, + "CLIP" + ], + [ + 44, + 23, + 0, + 25, + 0, + "IMAGE" + ], + [ + 45, + 23, + 1, + 25, + 1, + "MASK" + ], + [ + 46, + 23, + 2, + 25, + 2, + "AUSBOSS_STITCHER" + ], + [ + 47, + 24, + 0, + 25, + 3, + "STRING" + ], + [ + 48, + 10, + 0, + 25, + 4, + "INT" + ], + [ + 49, + 2, + 0, + 25, + 5, + "CLIP" + ], + [ + 50, + 3, + 0, + 25, + 6, + "VAE" + ], + [ + 51, + 4, + 0, + 25, + 7, + "MODEL" + ], + [ + 52, + 25, + 0, + 15, + 0, + "IMAGE" + ], + [ + 53, + 23, + 3, + 25, + 8, + "IMAGE" + ] + ], + "groups": [ + { + "title": "1 · Your input", + "bounding": [ + 480, + 0, + 480, + 1388 + ], + "color": "#1d5560", + "flags": {}, + "id": 84 + }, + { + "title": "2 · Behind the scenes", + "bounding": [ + 1000, + 0, + 560, + 280 + ], + "color": "#1d5560", + "flags": {}, + "id": 85 + }, + { + "title": "3 · Models", + "bounding": [ + 1000, + 320, + 560, + 744 + ], + "color": "#1d5560", + "flags": {}, + "id": 86 + }, + { + "title": "4 · Result", + "bounding": [ + 1600, + 0, + 520, + 1388 + ], + "color": "#1d5560", + "flags": {}, + "id": 87 + } + ], + "definitions": { + "subgraphs": [ + { + "id": "2f8cb72f-ebab-4ed9-bb0c-328a4e6493d9", + "version": 1, + "state": { + "lastGroupId": 94, + "lastNodeId": 36, + "lastLinkId": 58, + "lastRerouteId": 0 + }, + "revision": 0, + "config": {}, + "name": "Write the prompt", + "inputNode": { + "id": -10, + "bounding": [ + -260, + 120, + 128, + 120 + ] + }, + "outputNode": { + "id": -20, + "bounding": [ + 1160, + 120, + 128, + 80 + ] + }, + "inputs": [ + { + "id": "dfbd656b-2013-4b7e-b046-8d7466971ebe", + "name": "canvas", + "type": "IMAGE", + "linkIds": [ + 35 + ], + "localized_name": "canvas", + "pos": [ + 51, + 24 + ] + }, + { + "id": "0472c1e6-1746-4662-92f4-886339927792", + "name": "direction", + "type": "STRING", + "linkIds": [ + 27 + ], + "localized_name": "direction", + "pos": [ + 51, + 44 + ] + }, + { + "id": "32883717-0c15-49c3-b872-918daf4d476e", + "name": "text encoder", + "type": "CLIP", + "linkIds": [ + 23 + ], + "localized_name": "text encoder", + "pos": [ + 51, + 64 + ] + } + ], + "outputs": [ + { + "id": "b33d5c81-a776-4acf-9d6a-61cebe200ca0", + "name": "prompt", + "type": "STRING", + "linkIds": [ + 37 + ], + "localized_name": "prompt", + "pos": [ + 24, + 24 + ] + } + ], + "widgets": [], + "nodes": [ + { + "id": 19, + "type": "TextGenerate", + "pos": [ + 20, + 238 + ], + "size": [ + 460, + 440 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 23 + }, + { + "name": "image", + "shape": 7, + "type": "IMAGE", + "link": 35 + }, + { + "name": "video", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "audio", + "shape": 7, + "type": "AUDIO", + "link": null + } + ], + "outputs": [ + { + "name": "generated_text", + "type": "STRING", + "links": [ + 25 + ] + } + ], + "title": "Describe the canvas", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.37.0", + "Node name for S&R": "TextGenerate" + }, + "widgets_values": [ + "Describe this picture as it will look when finished, in 60 to 90 words. The flat mid-gray areas are blank space that will be painted to continue the scene: describe what naturally fills them, never call them gray, blank, empty or padding, and don't mention any tilt. Describe the subject, setting, materials, composition and lighting in plain factual language. Do not invent actions, camera motion or sound. Output only the description.", + 180, + "on", + 0.7, + 64, + 0.95, + 0.05, + 1.05, + 20260922, + 0, + true, + true, + "auto" + ], + "widgets_values_named": { + "prompt": "Describe this picture as it will look when finished, in 60 to 90 words. The flat mid-gray areas are blank space that will be painted to continue the scene: describe what naturally fills them, never call them gray, blank, empty or padding, and don't mention any tilt. Describe the subject, setting, materials, composition and lighting in plain factual language. Do not invent actions, camera motion or sound. Output only the description.", + "max_length": 180, + "sampling_mode": "on", + "sampling_mode.temperature": 0.7, + "sampling_mode.top_k": 64, + "sampling_mode.top_p": 0.95, + "sampling_mode.min_p": 0.05, + "sampling_mode.repetition_penalty": 1.05, + "sampling_mode.seed": 20260922, + "sampling_mode.presence_penalty": 0, + "thinking": true, + "use_default_template": true, + "mtp": "auto" + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 20, + "type": "AUSBOSS_NODES_ShowText", + "pos": [ + 560, + 238 + ], + "size": [ + 460, + 140 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [ + { + "name": "text", + "type": "STRING", + "link": 25 + } + ], + "outputs": [ + { + "name": "text", + "type": "STRING", + "slot_index": 0, + "links": [ + 26 + ] + } + ], + "title": "Show Text - Description Krea 2 wrote", + "properties": { + "cnr_id": "ausboss-nodes", + "ver": "2.3.0", + "Node name for S&R": "AUSBOSS_NODES_ShowText" + }, + "widgets_values": [ + "" + ], + "widgets_values_named": { + "ausboss_show_text_panel": "" + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 22, + "type": "StringConcatenate", + "pos": [ + 560, + 514 + ], + "size": [ + 460, + 166 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [ + { + "name": "string_a", + "type": "STRING", + "widget": { + "name": "string_a" + }, + "link": 26 + }, + { + "name": "string_b", + "type": "STRING", + "widget": { + "name": "string_b" + }, + "link": 36 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "slot_index": 0, + "links": [ + 37 + ] + } + ], + "title": "Description plus your direction", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.37.0", + "Node name for S&R": "StringConcatenate" + }, + "widgets_values": [ + "", + "", + "\n\n" + ], + "widgets_values_named": { + "string_a": "", + "string_b": "", + "delimiter": "\n\n" + }, + "color": "#14424d", + "bgcolor": "#161f21" + }, + { + "id": 29, + "type": "MarkdownNote", + "pos": [ + 20, + 80 + ], + "size": [ + 460, + 88 + ], + "flags": {}, + "order": 0, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note", + "properties": {}, + "widgets_values": [ + "Krea 2's text encoder reads the canvas, gray areas included, and describes the finished picture. Keep thinking on, or it can return nothing." + ], + "color": "#1f2c38", + "bgcolor": "#2a3b4a" + }, + { + "id": 30, + "type": "MarkdownNote", + "pos": [ + 560, + 80 + ], + "size": [ + 460, + 88 + ], + "flags": {}, + "order": 0, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note", + "properties": {}, + "widgets_values": [ + "The description comes first, then your line from What goes there. Together they are the prompt for the painting." + ], + "color": "#1f2c38", + "bgcolor": "#2a3b4a" + }, + { + "id": 26, + "type": "Reroute", + "size": [ + 75, + 26 + ], + "flags": {}, + "order": 0, + "mode": 0, + "inputs": [ + { + "name": "", + "type": "*", + "link": 27 + } + ], + "outputs": [ + { + "name": "", + "type": "STRING", + "links": [ + 36 + ] + } + ], + "properties": { + "showOutputText": false, + "horizontal": false + }, + "pos": [ + 560, + 418 + ] + } + ], + "groups": [ + { + "title": "1 · Describe the canvas", + "bounding": [ + 0, + 0, + 500, + 698 + ], + "color": "#1d5560", + "flags": {}, + "id": 90 + }, + { + "title": "2 · Build the prompt", + "bounding": [ + 540, + 0, + 500, + 700 + ], + "color": "#1d5560", + "flags": {}, + "id": 91 + } + ], + "links": [ + { + "id": 25, + "origin_id": 19, + "origin_slot": 0, + "target_id": 20, + "target_slot": 0, + "type": "STRING" + }, + { + "id": 26, + "origin_id": 20, + "origin_slot": 0, + "target_id": 22, + "target_slot": 0, + "type": "STRING" + }, + { + "id": 35, + "origin_id": -10, + "origin_slot": 0, + "target_id": 19, + "target_slot": 1, + "type": "IMAGE" + }, + { + "id": 27, + "origin_id": -10, + "origin_slot": 1, + "target_id": 26, + "target_slot": 0, + "type": "STRING" + }, + { + "id": 36, + "origin_id": 26, + "origin_slot": 0, + "target_id": 22, + "target_slot": 1, + "type": "STRING" + }, + { + "id": 23, + "origin_id": -10, + "origin_slot": 2, + "target_id": 19, + "target_slot": 0, + "type": "CLIP" + }, + { + "id": 37, + "origin_id": 22, + "origin_slot": 0, + "target_id": -20, + "target_slot": 0, + "type": "STRING" + } + ], + "extra": {} + }, + { + "id": "1377fd22-d276-47fd-9b27-847186abdcb2", + "version": 1, + "state": { + "lastGroupId": 94, + "lastNodeId": 36, + "lastLinkId": 58, + "lastRerouteId": 0 + }, + "revision": 0, + "config": {}, + "name": "Paint with Krea 2", + "inputNode": { + "id": -10, + "bounding": [ + -260, + 120, + 128, + 240 + ] + }, + "outputNode": { + "id": -20, + "bounding": [ + 1700, + 120, + 128, + 80 + ] + }, + "inputs": [ + { + "id": "e7498479-6b9c-4c11-b51a-4363342b1b4f", + "name": "canvas", + "type": "IMAGE", + "linkIds": [ + 30, + 57 + ], + "localized_name": "canvas", + "pos": [ + 51, + 24 + ] + }, + { + "id": "d0fa4fcf-20b8-44f6-a364-9996e8f0cc3d", + "name": "mask", + "type": "MASK", + "linkIds": [ + 32, + 56 + ], + "localized_name": "mask", + "pos": [ + 51, + 44 + ] + }, + { + "id": "fd74917a-3aa6-4a5e-b7d7-39887e4a0fc8", + "name": "stitcher", + "type": "AUSBOSS_STITCHER", + "linkIds": [ + 33, + 34 + ], + "localized_name": "stitcher", + "pos": [ + 51, + 64 + ] + }, + { + "id": "d886045f-776c-44e5-9bae-513d98e33f60", + "name": "prompt", + "type": "STRING", + "linkIds": [ + 28 + ], + "localized_name": "prompt", + "pos": [ + 51, + 84 + ] + }, + { + "id": "8bc78a78-a8f2-4551-ac35-a76b9611ebab", + "name": "seed", + "type": "INT", + "linkIds": [ + 15 + ], + "localized_name": "seed", + "pos": [ + 51, + 104 + ] + }, + { + "id": "35540ed3-c31c-43b9-9d7b-92675bd1a4d6", + "name": "text encoder", + "type": "CLIP", + "linkIds": [ + 4 + ], + "localized_name": "text encoder", + "pos": [ + 51, + 124 + ] + }, + { + "id": "5e2610ac-714e-43ec-8f2c-18db8d214795", + "name": "vae", + "type": "VAE", + "linkIds": [ + 5, + 8, + 17 + ], + "localized_name": "vae", + "pos": [ + 51, + 144 + ] + }, + { + "id": "1cbb4901-f0f4-4cad-bcbd-cc8ec853b3a6", + "name": "model", + "type": "MODEL", + "linkIds": [ + 2 + ], + "localized_name": "model", + "pos": [ + 51, + 164 + ] + }, + { + "id": "c426dbf2-602d-4d82-880d-01c2e4c652e0", + "name": "picture", + "type": "IMAGE", + "linkIds": [ + 54 + ], + "localized_name": "picture", + "pos": [ + 51, + 184 + ] + } + ], + "outputs": [ + { + "id": "cbb02e0d-982b-4cb6-860a-7f629f7bebf8", + "name": "result", + "type": "IMAGE", + "linkIds": [ + 40 + ], + "localized_name": "result", + "pos": [ + 24, + 24 + ] + } + ], + "widgets": [], + "nodes": [ + { + "id": 6, + "type": "AUSBOSS_NODES_Krea2Encode", + "pos": [ + 20, + 304 + ], + "size": [ + 460, + 304 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 4 + }, + { + "name": "vae", + "shape": 7, + "type": "VAE", + "link": 5 + }, + { + "name": "reference", + "shape": 7, + "type": "IMAGE", + "link": 29 + }, + { + "name": "extra_image", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "prompt", + "type": "STRING", + "widget": { + "name": "prompt" + }, + "link": 38 + } + ], + "outputs": [ + { + "name": "positive", + "type": "CONDITIONING", + "links": [ + 12 + ] + }, + { + "name": "negative", + "type": "CONDITIONING", + "links": [ + 13 + ] + } + ], + "title": "Krea 2 Encode - 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"ue_properties": { + "widget_ue_connectable": {}, + "version": "7.5.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "FINAL_IMG" + ], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 146, + "type": "GetNode", + "pos": [ + 4219.681133832383, + -904.8414456137622 + ], + "size": [ + 210, + 34 + ], + "flags": { + "collapsed": true + }, + "order": 23, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 276 + ] + } + ], + "title": "Get_SAMPLER", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "SAMPLER" + ] + }, + { + "id": 148, + "type": "GetNode", + "pos": [ + 4203.738283737174, + -866.1456265145642 + ], + "size": [ + 210, + 34 + ], + "flags": { + "collapsed": true + }, + "order": 24, + "mode": 0, + "inputs": [], + "outputs": [ + { + 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Just don't forget to enable the standard save image node." + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 84, + "type": "SetNode", + "pos": [ + 4732.0360469420575, + 539.794995124992 + ], + "size": [ + 210, + 34 + ], + "flags": { + "collapsed": true + }, + "order": 112, + "mode": 0, + "inputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "link": 145 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": null + } + ], + "title": "Set_FINAL_IMG", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "FINAL_IMG", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "FINAL_IMG" + ], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 2, + "type": "UNETLoader", + "pos": [ + 2620.6736480478176, + -1930.2122566847215 + ], + "size": [ + 402.8700049054878, + 82 + ], + "flags": {}, + "order": 34, + "mode": 0, + 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"input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Change attention mode to the option compatible with your setup.\nIf you are in windows and you don't have sage attention installed, use SDPA." + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 166, + "type": "Note", + "pos": [ + 3886.386220124582, + -204.04530356840124 + ], + "size": [ + 226.82000035428314, + 116.60933131830734 + ], + "flags": {}, + "order": 41, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "💡 Tip", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "A seed value of -1 = Random seed\nAny other number (including 0) will be treated as a fixed seed.\n\"Use last queued seed\" will fix the seed from the last execution, same as easyGlobalSeed." + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 167, + "type": "Bookmark (rgthree)", + "pos": [ + 3954.4662294838813, + 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[], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "properties": { + "matchColors": "", + "matchTitle": "image size", + "showNav": true, + "showAllGraphs": true, + "sort": "position", + "customSortAlphabet": "", + "toggleRestriction": "max one", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "color": "#323", + "bgcolor": "#535" + }, + { + "id": 161, + "type": "MarkdownNote", + "pos": [ + 2208.420809603311, + -1966.6395054209045 + ], + "size": [ + 393.6142196120154, + 403.4327046502533 + ], + "flags": { + "pinned": true + }, + "order": 56, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "MODEL LINKS", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors?download=true)\n\n**text_encoders**\n- [qwen3vl-4b-abliterated_fp8_e4m3fn.safetensors](https://civitai.red/models/2731465/qwen3-vl-4b-abliterated-comfyui-krea-2-text-encoder-bf16-fp8) (download the FP8 variant)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/circlestone-labs/Anima/resolve/main/split_files/vae/qwen_image_vae.safetensors)\n\n**Recommended LoRAs**\n\n- [Krea2 NSFW v3](https://civitai.red/models/2725430/krea-2-nsfw-v3?modelVersionId=3071760)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl-4b-abliterated_fp8_e4m3fn.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── LORAS GO HERE\n```\n" + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 185, + "type": "Label (rgthree)", + "pos": [ + 3035.5138738136448, + -1991.3198528644614 + ], + "size": [ + 100.66666412353516, + 12 + ], + "flags": { + "allow_interaction": true + }, + "order": 57, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Uncensored patch ", + "properties": { + "fontSize": 12, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 162, + "type": "MarkdownNote", + "pos": [ + 2047.1510968289783, + -874.0320766244811 + ], + "size": [ + 552.9421979010322, + 420.0038879547118 + ], + "flags": { + "pinned": true + }, + "order": 58, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Instructions", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "**Press `0` to center the workflow on these instructions any time you need.**\n\n⚠️ **WARNING:** Always make a backup of your ComfyUI installation before updating or installing new custom nodes so you can roll back if anything goes wrong.\n\n---\n\n## Prerequisites\n\n- ComfyUI-Krea2T-Enhancer Nightly version, to access the latest patch. The node used to have a cache bug that caused the workflow to re-run the entire pipeline even when the seed was exactly the same, it was fixed in the latest version.\n\n---\n\n## General Instructions\n\n> **Node color legend**\n> | Color | Meaning |\n> |-------|---------|\n> 🔴 Red | Instructional notes — read-only reference |\n> 🟡 Yellow | Configurable elements — adjust to your needs |\n> 🟣 Purple | Toggle switches — enable or disable option groups |\n\n**TIP:** Disable all groups at the start using the fast group bypasser switches (press `1` to center the workflow). Then enable groups one by one as needed. Try not to manually bypass anything; use the fast group bypasser switches instead. Otherwise, you could accidentally bypass something important. As a general rule of thumb, if it doesn't have a bypasser switch, it shouldn't be bypassed.\n\nYou can first quickly generate a set of several images at 720p queuing several generations with a random seed in one go, then pick and choose the one you like from the results, fix the seed and second pass it or upscale it.\n\n---\n\n## 1. Main Settings (press `1`)\n\n### Resolution\n\nTwo resolution modes are available. Use the **Fast Groups Bypasser (rgthree)** node to switch between them:\n\n- **Advanced image size** — use this if you are familiar with Resolution Master and want fine-grained control.\n- **Simple video size** — recommended for most users; provides straightforward resolution and image orientation selection.\n\n### LoRAs\n\nLoRAs are loaded via the **Power LoRA Loader** node. For each LoRA you wish to use:\n\n1. Select the LoRA file from the dropdown.\n2. Adjust the **strength** value to control its influence on the generation.\n\n> Multiple LoRAs can be stacked within the same Power LoRA Loader node.\n\nIf you are going to generate NSFW content, I strongly recommend using the [Krea2 NSFW v3](https://civitai.red/models/2725430/krea-2-nsfw-v3?modelVersionId=3071760) LoRA by [19doorsside884](https://civitai.red/user/19doorsside884).\n\nThis workflow already patches the model to remove its built-in censorship. However, some prompts may still require a little extra \"punch.\" This LoRA gives the model the additional push it needs to fully \"understand\" those types of prompts.\n\n**Recommended strength:** `1.5`\n\n---\n\n## 2. Prompt (press `2`)\n\nThree prompt input methods are available. Select one based on your use case:\n\n### Option A — Manual Prompt (default)\n\nEnter your prompt directly into the **`POSITIVE PROMPT`** node inside the **Prompt** group. This is the standard input method. Optionally, you can enable the **`Prompt enhancer`** to allow the text encoder model to improve your base positive prompt.\n\n### Option B — Image to Prompt (automatic)\n\nEnable the **Image to prompt** group (purple toggle) to automatically generate a prompt from a reference image:\n\n1. Load your reference image into the **`Reference image`** node within this group.\n2. You can guide the generation by briefly describing your image in the **`POSITIVE PROMPT`** node, adding anything you want to be different from the reference image, or including details that the prompt processor might otherwise miss. In other words, you can combine the positive prompt and the reference image for greater control. In Image to Prompt mode, the positive prompt is completely optional, but I strongly recommend adding a brief description of the reference image to help the model better understand it.\n3. Optionally, adjust the **seed** of the **`Prompt processor`** subgraph to explore different prompt variations.\n4. To preview a generated prompt before committing to a full run, **partially execute the workflow up to the `Final prompt` node**.\n5. Once satisfied, run the full workflow.\n\n> **Tip:** To continue iterating after generation, copy the generated prompt, disable the **Image to prompt** group, paste the prompt into the **Manual prompt** group, and edit it as needed.\n\n---\n\n## 3. Sampling Settings *(optional)* (press `3`)\n\nThe default values for this group are production-ready and do not require adjustment for typical use. The following parameters can be modified if needed:\n\n- **eta** — the calculated amount of noise added and then removed after each step. In practice, this works like a \"smoothness\" control.\n- **CFG scale** — controls how strictly the model follows the prompt.\n- **Sampling steps** — number of denoising iterations.\n- **Sampler / Scheduler** — algorithm used for the diffusion process.\n\nYou can change the seed using the **EasyGlobalSeed** node.\n\n---\n\n## 4. Second Pass (press `4`)\n\nEnable this group to perform a second pass over the main sampler generation, adding extra detail. You can control the strength of this pass by adjusting the **denoise** value.\n\n---\n\n## 5. Optional Groups (press `5`)\n\nThe following groups are disabled by default and can be enabled via their respective purple toggle switches.\n\n### SeedVR2 Upscaler\n\nPerforms post-generation upscaling using **SeedVR2 Upscaler**. You can set the target resolution, select the attention mode, and choose the SeedVR2 model variant.\n\n### Color Correction\n\nApplies basic post-processing adjustments to the final image:\n\n- **Brightness**\n- **Contrast**\n- **Saturation**\n\nEnable this group if the generated output requires tonal correction before saving.\n\n### Noise\n\nApplies noise to the image.\n\n### Sharpen\n\nApplies basic sharpening to the image. Use the **iterations** value to control the strength (1 to 3).\n\n---\n\n## 6. CivitAI Metadata (press `6`)\n\nThis group automatically embeds **CivitAI-compatible metadata** into the saved output image, including generation parameters such as the prompt, seed, sampler, and model information (including LoRAs). By default, it saves the CivitAI-compatible image to your output directory under **`CivitAI`**.\n\n- The workflow functions correctly with or without this group enabled.\n- If you do not intend to upload outputs to CivitAI, this group can be safely **deleted** without affecting generation quality or workflow behavior." + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 87, + "type": "FancyTimerNode", + "pos": [ + 4333.879605273139, + 1405.907773255544 + ], + "size": [ + 420, + 130 + ], + "flags": {}, + "order": 59, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Execution Timer", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "cnr_id": "crt-nodes", + "ver": "2.5.3", + "Node name for S&R": "FancyTimerNode", + "elapsed_time_str": "00:20:705" + }, + "widgets_values": [ + "" + ], + "color": "#111111", + "bgcolor": "#000000" + }, + { + "id": 17, + "type": "Fast Groups Bypasser (rgthree)", + 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0000000000000000000000000000000000000000..76e58c390d8ee5ca8273bf4f5dfdf499338a7276 --- /dev/null +++ b/krea2SimpleWorkflowNSFW_v20.json @@ -0,0 +1 @@ +{"id":"0ea6603a-ccf5-4517-b2ea-133bb16b8648","revision":0,"last_node_id":945,"last_link_id":1862,"nodes":[{"id":914,"type":"Note","pos":[396.57215912018086,158.21575116430287],"size":[279.52499179897893,94.28328369917762],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[],"properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["Also optional, I don't recommend enabling it unless you understand how it works and how to set it up, it can sometimes be a real pain to configure. --------->"],"color":"#223","bgcolor":"#335"},{"id":913,"type":"MarkdownNote","pos":[-397.1199512417728,-407.60023111490284],"size":[700,990],"flags":{},"order":1,"mode":0,"inputs":[],"outputs":[],"title":"Model Links","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links (for Local Users)\n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [krea2_darkbrush.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_darkbrush.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── krea2_darkbrush.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. 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a/krea2T2ICharacterConsistence_v14.json b/krea2T2ICharacterConsistence_v14.json new file mode 100644 index 0000000000000000000000000000000000000000..cc3a772e6765895b83aa0c26a92491f41aa7553f --- /dev/null +++ b/krea2T2ICharacterConsistence_v14.json @@ -0,0 +1,296 @@ +[ + { + "name": "Photography | Amateur", + "name_cn": "Photography | Amateur", + "prompt": "casual amateur snapshot photography, photographed spontaneously rather than carefully staged, ordinary everyday perspective, imperfect framing and timing, natural unposed body language and expressions, realistic exposure variations, modest optical quality and authentic photographic imperfections, the image should feel like a real personal photograph rather than a polished commercial shoot, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Professional", + "name_cn": "Photography | Professional", + "prompt": "professionally produced photography with deliberate composition, carefully chosen camera position and focal length, controlled exposure and accurate focus, intentional subject separation, refined tonal balance and realistic lens rendering, subtle post-processing while preserving natural photographic detail, polished but believable professional image quality, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Candid", + "name_cn": "Photography | Candid", + "prompt": "authentic candid photography captured in the middle of an unscripted moment, subject unaware or only loosely aware of the camera, natural posture, spontaneous gesture and genuine expression, imperfect timing and framing, realistic available light and documentary-style observation, the photograph should feel captured rather than posed, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Analog", + "name_cn": "Photography | Analog", + "prompt": "authentic analog film photography, captured on real photographic film with organic grain, subtle halation around bright highlights, gentle highlight roll-off, slightly compressed dynamic range and nuanced tonal transitions, natural optical softness and small exposure imperfections, tactile photochemical texture rather than digitally simulated sharpness, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Cinematic", + "name_cn": "Photography | Cinematic", + "prompt": "cinematic still photography with intentional visual storytelling, carefully considered camera placement and negative space, natural depth and subject separation, motivated lighting that appears to come from the environment, controlled highlights and rich shadow detail, cohesive filmic color grading with subtle tonal separation, polished yet photographic rather than artificial, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Brassaï Night", + "name_cn": "Photography | Brassaï Night", + "prompt": "1930s-style nocturnal documentary photography inspired by Parisian street photography, photographed after dark with available street lamps and practical light sources, deep blacks, luminous pools of light, wet pavement reflections, atmospheric haze and strong tonal separation, intimate human moments within the night-time city, gritty realistic low-light texture and restrained monochrome-to-warm tonal character, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Art", + "name_cn": "Photography | Art", + "prompt": "fine-art photographic interpretation with deliberate composition and visual intent, carefully balanced shapes, negative space and tonal relationships, expressive use of light and shadow, subtle depth and atmosphere, nuanced color or monochrome rendering, restrained post-processing and a considered gallery-photography sensibility while retaining believable photographic texture, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Kodachrome", + "name_cn": "Photography | Kodachrome", + "prompt": "classic Kodachrome-inspired color photography, photographed on richly saturated color reversal film with distinctive warm reds, yellows and natural greens, crisp fine-grained detail, strong but controlled contrast, slightly restrained dynamic range and clean slide-film color separation, authentic mid-to-late 20th-century documentary and travel-photography character, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Cross-Processed Film", + "name_cn": "Photography | Cross-Processed Film", + "prompt": "cross-processed analog film photography with intentionally shifted color chemistry, unusual cyan, green or magenta color bias, punchy contrast and exaggerated separation between highlights and shadows, visible grain and slightly unstable tonal rendering, authentic chemical-processing imperfections that give the photograph an experimental editorial character, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Bleach Bypass", + "name_cn": "Photography | Bleach Bypass", + "prompt": "bleach-bypass film aesthetic with reduced color saturation and a pronounced silver-rich monochrome component, strong contrast, dense blacks, bright metallic highlights and gritty fine-grain texture, restrained skin color and a cool industrial tonal character, cinematic photochemical realism with controlled highlight detail, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | HDR", + "name_cn": "Photography | HDR", + "prompt": "high dynamic range photography created from multiple exposures and carefully blended to preserve information across bright highlights and deep shadows, unusually broad tonal latitude, crisp local detail and visible texture throughout the frame, balanced exposure without crushed blacks or blown highlights, realistic modern HDR processing rather than an exaggerated artificial HDR effect, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Lightroom Finish", + "name_cn": "Photography | Lightroom Finish", + "prompt": "professionally post-processed digital photograph with a refined Lightroom-style finishing workflow, carefully balanced white balance and exposure, controlled highlight recovery and shadow depth, subtle contrast and clarity adjustments, selective tonal shaping and restrained color grading, natural skin and material texture preserved, polished editorial finish without looking overprocessed, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Film Noir 1", + "name_cn": "Photography | Film Noir 1", + "prompt": "classic 1940s film noir still photography, hard directional key light cutting across the scene, venetian-blind shadows and sharply defined pools of illumination, deep black negative space, isolated highlights, strong chiaroscuro and dense monochrome contrast, slightly gritty 35mm film texture, dramatic low camera angles and a tense hardboiled atmosphere, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Film Noir 2", + "name_cn": "Photography | Film Noir 2", + "prompt": "dark late-noir photographic atmosphere with dramatic chiaroscuro, hard-edged pools of light surrounded by near-black shadows, stark monochrome tonal separation, wet reflective streets and faint atmospheric haze, slightly tilted or unconventional framing, strong foreground and background depth, gritty 35mm grain and claustrophobic psychological tension, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Hitchcockian", + "name_cn": "Photography | Hitchcockian", + "prompt": "Hitchcockian suspense photography with precise controlled framing and visual storytelling, carefully positioned camera creating a sense of observation or voyeurism, foreground elements that partially conceal or reveal information, deliberate depth of field, restrained high-contrast lighting, elegant but unsettling composition and psychological tension without overt theatrical exaggeration, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Cyberpunk", + "name_cn": "Photography | Cyberpunk", + "prompt": "grounded cyberpunk urban photography at night, photographed with saturated neon signage and colored practical lights reflecting from wet streets and glass, deep shadows, humid atmospheric haze, mixed color temperatures, realistic lens bloom and subtle flare around bright sources, dramatic perspective and dense metropolitan detail, futuristic yet believable photographic realism, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Commercial Beauty", + "name_cn": "Photography | Commercial Beauty", + "prompt": "high-end commercial beauty photography produced in a professional studio, carefully controlled key and fill lighting creating smooth dimensional facial modeling, clean catchlights, accurate skin texture with restrained retouching, precise focus and premium lens rendering, controlled color separation and elegant tonal transitions, luxurious advertising and magazine campaign finish while retaining realistic human detail, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Instagram Glamour", + "name_cn": "Photography | Instagram Glamour", + "prompt": "contemporary social-media glamour photography with an intentionally polished but believable appearance, flattering soft directional light, confident natural posing, carefully chosen camera angle and focal length, clean skin with visible realistic texture, subtle retouching, controlled background separation and warm or neutral color grading, aspirational lifestyle imagery that still looks like a real photograph, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | GQ Editorial", + "name_cn": "Photography | GQ Editorial", + "prompt": "premium menswear editorial photography with sophisticated magazine styling, deliberate camera placement and strong but elegant directional key light, controlled shadows, crisp fabric and material detail, natural skin texture, confident relaxed posture and refined environmental composition, restrained retouching and sophisticated neutral-to-rich color grading, polished editorial realism, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Supermodel", + "name_cn": "Photography | Supermodel", + "prompt": "high-fashion editorial photography featuring commanding model presence, carefully directed posture and elegant body lines, professional studio or fashion-location lighting with sculpted highlights and controlled shadows, premium lens rendering, precise focus and refined skin texture, sophisticated color grading and restrained retouching, dramatic magazine-cover quality without losing photographic realism, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | LinkedIn Portrait", + "name_cn": "Photography | LinkedIn Portrait", + "prompt": "professional corporate headshot photographed with a full-frame portrait lens, eye-level camera position and carefully controlled soft key light with gentle fill, clean background separation, accurate skin tones, natural facial texture and a confident approachable expression, precise focus on the eyes, subtle professional retouching and neutral polished color grading, realistic business portrait photography, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Streamer Glam Selfie", + "name_cn": "Photography | Streamer Glam Selfie", + "prompt": "high-quality creator-style selfie photographed with a modern front-facing smartphone camera, handheld close framing and natural arm-length perspective, flattering screen or soft room illumination, realistic smartphone sharpening and computational exposure, clean but visible skin texture, subtle lens distortion and authentic indoor environmental detail, polished social-media appearance without looking like a studio portrait, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Camera | Modern Smartphone", + "name_cn": "Camera | Modern Smartphone", + "prompt": "photographed with a current flagship smartphone camera using computational photography, multi-frame HDR exposure, automatic white balance and modern image processing, clean fine detail with controlled sharpening, realistic smartphone lens characteristics, natural highlight recovery and shadow lifting, subtle computational noise reduction and contemporary color science, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Camera | 35mm Consumer Film", + "name_cn": "Camera | 35mm Consumer Film", + "prompt": "photographed with a consumer 35mm film camera using a standard everyday lens and consumer color film, moderate optical softness, visible organic grain, gentle halation, slightly imperfect focus and exposure, natural highlight roll-off and limited dynamic range, authentic negative-scan character with small variations in color and density between frames, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Camera | Polaroid / Instant Film", + "name_cn": "Camera | Polaroid / Instant Film", + "prompt": "photographed on instant film with characteristic soft optical rendering and limited resolving detail, organic grain and chemical texture, slightly uneven exposure, gentle color shifts, soft highlights and distinctive instant-film tonal compression, imperfect but tactile physical-photograph character, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Camera | Front-Facing Smartphone", + "name_cn": "Camera | Front-Facing Smartphone", + "prompt": "photographed with a front-facing smartphone camera at arm's length, handheld slightly wide-angle perspective, subtle facial perspective distortion and close-camera geometry, automatic exposure and computational sharpening, realistic indoor or ambient light, casual framing and small imperfections typical of an actual selfie rather than a professional camera, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Era | 1970s", + "name_cn": "Era | 1970s", + "prompt": "photographic aesthetic of the 1970s, captured on consumer or professional 35mm color film with period-appropriate lenses, visible organic grain, softer optical rendering and modest dynamic range, warm earthy colors with slightly faded reds and yellows, natural available light or simple on-camera flash, occasional exposure inconsistency and imperfect focus, authentic family snapshot, street and documentary character from the era, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Era | 1980s", + "name_cn": "Era | 1980s", + "prompt": "photographic aesthetic of the 1980s, captured on 35mm color film with period consumer or professional cameras, noticeable grain, stronger contrast and richer saturated colors, warm skin tones, direct on-camera flash and practical indoor lighting, slightly softer lenses with occasional flare and imperfect exposure, authentic family snapshot, nightlife, fashion and editorial character of the decade, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Era | 1990s", + "name_cn": "Era | 1990s", + "prompt": "photographic aesthetic of the 1990s, captured on consumer 35mm film or early compact cameras, visible natural grain, slightly muted warm colors and moderate contrast, soft optical rendering, modest exposure imperfections and occasional built-in flash, authentic late-analog snapshot quality with the visual character of family albums, street photography and 1990s editorial imagery, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Era | 2000s", + "name_cn": "Era | 2000s", + "prompt": "photographic aesthetic of the 2000s, captured with early consumer digital compact cameras or early digital SLRs, small-sensor rendering, direct built-in flash, limited dynamic range, clipped highlights and occasional digital noise, cool or neutral white balance, noticeable in-camera sharpening and slightly brittle fine detail, authentic early-digital snapshot character associated with the first generation of everyday digital photography, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Era | 2010s", + "name_cn": "Era | 2010s", + "prompt": "photographic aesthetic of the 2010s, combining early smartphone photography with contemporary DSLR and mirrorless cameras, clean digital rendering with visible sharpening and moderate HDR processing, balanced automatic exposure, slightly cool or neutral color grading, shallow depth of field becoming common in portraits, polished social-media composition and the recognizable processed realism of the Instagram era, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Era | 2020s", + "name_cn": "Era | 2020s", + "prompt": "photographic aesthetic of the 2020s, captured with modern mirrorless cameras or flagship smartphones using computational photography, high dynamic range, sophisticated noise reduction and refined color processing, exceptionally clean detail, natural skin rendering and controlled highlights and shadows, realistic shallow depth of field and subtle optical effects, contemporary editorial and social-media visual language with highly polished digital realism, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Lighting | Natural Available Light", + "name_cn": "Lighting | Natural Available Light", + "prompt": "photographed entirely with natural or existing ambient light, using the direction and softness of the available illumination rather than artificial studio lighting, realistic falloff across the subject, naturally occurring shadows, subtle variations in exposure and color temperature, believable environmental light interaction and authentic photographic atmosphere, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Lighting | Harsh Daylight", + "name_cn": "Lighting | Harsh Daylight", + "prompt": "photographed in strong direct daylight with the sun high or unobstructed, producing clearly defined hard-edged shadows, bright specular highlights, strong directional illumination and pronounced contrast between sunlit and shaded areas, realistic squinting and highlight response, crisp outdoor photographic character without artificial fill, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Lighting | Direct Camera Flash", + "name_cn": "Lighting | Direct Camera Flash", + "prompt": "photographed with a small direct on-camera flash positioned close to the lens axis, producing flat frontal illumination, hard-edged cast shadows and bright specular highlights, rapid light falloff into the background, slightly cool flash color against ambient surroundings and the unmistakable spontaneous snapshot character of direct flash photography, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Lighting | Studio", + "name_cn": "Lighting | Studio", + "prompt": "professional studio lighting with a deliberately shaped key light, controlled fill and carefully managed background illumination, precise exposure across the subject, smooth but dimensional shadow transitions, clean catchlights and predictable light falloff, controlled separation from the background and polished professional photographic rendering, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Lighting | Blue Hour", + "name_cn": "Lighting | Blue Hour", + "prompt": "photographed during the short blue-hour period after sunset, with cool ambient sky light balanced against warmer artificial lights, soft low-contrast illumination, deep blue atmospheric tones, gentle gradients in the sky and realistic shadow detail, subtle reflections and a calm cinematic evening atmosphere, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Lighting | Golden Hour", + "name_cn": "Lighting | Golden Hour", + "prompt": "photographed during golden hour with the sun low near the horizon, warm directional sunlight passing through the atmosphere, long soft-edged shadows, glowing highlights and gentle back or side illumination, warm skin tones, subtle atmospheric haze and natural lens flare, flattering low-angle light with realistic highlight roll-off, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Lighting | Neon", + "name_cn": "Lighting | Neon", + "prompt": "photographed at night under multiple colored neon and LED light sources, saturated directional illumination creating distinct color separation across the subject, deep ambient shadows, realistic reflections on skin, glass and wet surfaces, mixed color temperatures, subtle lens bloom and flare around bright signs, atmospheric urban night realism, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Lighting | Backlit Portrait", + "name_cn": "Lighting | Backlit Portrait", + "prompt": "portrait photographed with the primary light source positioned behind the subject, creating a luminous rim around hair and shoulders and gentle separation from the background, controlled exposure on the face from ambient or reflected fill, subtle highlight bloom and atmospheric depth, natural backlight rather than artificial cutout-style edge lighting, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Lighting | Low-Key", + "name_cn": "Lighting | Low-Key", + "prompt": "low-key photographic lighting with one dominant directional light source and very limited fill, most of the environment falling into deep shadow, narrow tonal range, rapid light falloff, carefully placed highlights revealing only selected facial or environmental details, rich blacks and controlled exposure creating an intimate mysterious atmosphere, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Lighting | Night", + "name_cn": "Lighting | Night", + "prompt": "authentic night photography using available street, window, vehicle and practical light sources, deep surrounding darkness with isolated pools of illumination, long-exposure or high-ISO photographic character, subtle sensor or film grain, realistic shadow detail and occasional motion softness, natural nocturnal color relationships and believable low-light exposure, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Lighting | Soft Beauty Dish", + "name_cn": "Lighting | Soft Beauty Dish", + "prompt": "professional portrait photographed with a large beauty dish positioned close to the subject, soft but directional illumination shaping the face, smooth cheek and jaw transitions, controlled specular highlights and bright natural catchlights, gentle fill into the shadows, refined skin texture and dimensional modeling, polished studio beauty photography without completely flattening the face, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Image | Film Grain", + "name_cn": "Image | Film Grain", + "prompt": "visible organic film grain integrated naturally into the photographic image, fine-to-medium grain structure varying subtly with darker areas and exposure, gentle photochemical texture and restrained halation, preserving recognizable photographic detail rather than turning the image into a heavy texture overlay, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Composition | Portrait", + "name_cn": "Composition | Portrait", + "prompt": "classic portrait composition with the subject as the clear visual focus, camera positioned at a natural human perspective, face and upper body given sufficient breathing room, deliberate eye-line and subject placement, realistic lens perspective and natural depth separation, balanced framing that feels intentionally photographed rather than cropped from a larger image, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Composition | Full Body", + "name_cn": "Composition | Full Body", + "prompt": "full-body photographic composition with the entire subject visible from head to feet, camera placed at a natural perspective with enough distance to avoid excessive wide-angle distortion, intentional space around the figure, feet fully inside the frame and balanced environmental context, realistic proportions and professional photographic framing, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Composition | Environmental Portrait", + "name_cn": "Composition | Environmental Portrait", + "prompt": "environmental portrait with the subject naturally integrated into a meaningful surrounding location, enough of the environment visible to establish context while maintaining clear subject emphasis, layered foreground and background depth, realistic perspective and deliberate placement within the scene, the location contributing to the story of the photograph rather than functioning as a generic backdrop, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Composition | Close-up", + "name_cn": "Composition | Close-up", + "prompt": "intimate close-up photographic composition with the face or primary subject filling most of the frame, careful focus on the eyes or key detail, shallow depth of field and natural lens perspective, controlled edge cropping and subtle background falloff, detailed realistic skin or surface texture, deliberately close photographic framing rather than an accidental crop, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Situation | Mirror Selfie", + "name_cn": "Situation | Mirror Selfie", + "prompt": "authentic mirror selfie photographed with a handheld smartphone, the subject and phone visible through a real mirror reflection, natural arm position and casual body posture, realistic room environment and mirror perspective, slight smartphone wide-angle distortion, imperfect framing and everyday available light, spontaneous personal-photo character rather than a staged professional shoot, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + } +] diff --git a/krea2TURBOONECLICK6_v10.json b/krea2TURBOONECLICK6_v10.json new file mode 100644 index 0000000000000000000000000000000000000000..2aded07e58d9923b6d3ff92801f688352a15fbb1 --- /dev/null +++ b/krea2TURBOONECLICK6_v10.json @@ -0,0 +1 @@ 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Збільшення зображення з покращенням.","bounding":[-1823.1957687318943,832.2432610845415,864.5660132818475,777.1448899043228],"color":"#8A8","flags":{}},{"id":49,"title":"Save image - Збереження зображення.","bounding":[-106.15790349573173,12.755626298465508,862.0930365744239,1593.2397503101054],"color":"#A88","flags":{}},{"id":50,"title":"Load reference image + promt to reference","bounding":[-3746.531073872142,93.9618568203264,694.5220575390008,1481.1175044728573],"color":"#8AA","flags":{}}],"config":{},"extra":{"ds":{"scale":0.4154777032884955,"offset":[5551.256183101905,142.12252483068278]},"frontendVersion":"1.45.19","workflowRendererVersion":"LG","VHS_latentpreview":true,"VHS_latentpreviewrate":0,"VHS_MetadataImage":true,"VHS_KeepIntermediate":true,"ue_links":[],"links_added_by_ue":[]},"version":0.4} \ No newline at end of file diff --git a/krea2TurboDualModeQwenvlWorkflow_v2NSFWSeedvr2.json b/krea2TurboDualModeQwenvlWorkflow_v2NSFWSeedvr2.json new file mode 100644 index 0000000000000000000000000000000000000000..6b866fc77238a743f45a42f30333b593d96e218d --- /dev/null +++ b/krea2TurboDualModeQwenvlWorkflow_v2NSFWSeedvr2.json @@ -0,0 +1,1728 @@ +{ + "id": "krea2-turbo-qwenvl-civitai-nsfw-vr2", + "revision": 1, + "last_node_id": 30, + "last_link_id": 30, + "nodes": [ + { + "id": 17, + "type": "Note", + "pos": [ + 202.10477773278143, + 1824.7361851783471 + ], + "size": [ + 370, + 230 + ], + "flags": {}, + "order": 0, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "⚖️ License", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "⚖️ LICENSE\n\nKrea-2 model: krea-2-community-license\n ✓ Commercial use allowed\n\n🔞 MATURE CONTENT DISCLOSURE\n This version generates explicit adult (18+) imagery.\n Consenting-adult synthetic art only — no real-person likeness, no minors.\n Showcase images individually content-rated (X/M) on Civitai — page rating unchanged (SFW listing preserved).\n\nWeights (UNet + CLIP + VAE):\n huggingface.co/AlperKTS/Krea2_FP8\nQwenVL: Apache-2.0 (1038lab/ComfyUI-QwenVL)\n LLM auto-downloads: Qwen/Qwen3-VL-2B-Instruct\nSeedVR2: numz/ComfyUI-SeedVR2_VideoUpscaler\nWorkflow: CC0 — free to use, share, modify" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 13, + "type": "AILab_QwenVL", + "pos": [ + 758.1715284682243, + 280.43243799870635 + ], + "size": [ + 515.6607421875, + 380 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [ + { + "name": "image", + "shape": 7, + "type": "IMAGE", + "link": 11 + }, + { + "name": "video", + "shape": 7, + "type": "IMAGE", + "link": null + } + ], + "outputs": [ + { + "name": "RESPONSE", + "type": "STRING", + "slot_index": 0, + "links": [ + 12 + ] + } + ], + "title": "🔍 QwenVL VL — Image → Prompt (Mode B) · set index=1 to activate", + "properties": { + "cnr_id": "ComfyUI-QwenVL", + "ver": "fcd1ada87a28f922cb887f779db32429f78a022c", + "Node name for S&R": "AILab_QwenVL", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Qwen3-VL-2B-Instruct", + "None (FP16)", + "auto", + "🖼️ Detailed Description", + "You are a prompt engineer for Krea2 (Qwen-Image) describing a reference image for a BOLD adult glamour photography regeneration on a Civitai X-rated showcase. Realism is the #1 priority - the output must describe a REAL PHOTOGRAPH, never a glossy render or CGI.\n\nInput: a reference image.\nOutput: ONE natural-language paragraph, 3-4 sentences (~90 words), describing what you see as a real photo shoot.\n\nREQUIRED:\n- Subject + outfit as shown (revealing coverage) + provocative yet natural, anatomically-correct pose + the location, based strictly on the reference image content.\n- Real camera + lens + aperture, e.g. \"shot on Sony A7IV, 85mm f/1.4\"; shallow depth of field, soft background bokeh.\n- Real light: window light / soft golden-hour / overcast daylight / on-camera flash - soft and directional (NOT \"dramatic\").\n- Skin realism: visible pores and fine skin texture, natural imperfections, matte (not glossy) skin, unretouched, subtle film grain, warm Kodak Portra color.\n- A touch of candid imperfection: slightly off-guard expression, natural asymmetry, real-photo feel.\n\nHARD BAN - never output these words: 8k, 4k, ultra-detailed, hyperdetailed, masterpiece, best quality, cinematic, dramatic, dewy glow, luminous, glowing, radiant, flawless, porcelain, doll-like, teal-orange, award-winning, artstation, render, CGI, professional photography.\n\nNo names, no IP. Output ONLY the prompt paragraph - no quotes, no preamble, no commentary.", + 256, + false, + 2890785730, + "randomize" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 12, + "type": "LoadImage", + "pos": [ + 758.1715284682243, + 700.4324379987063 + ], + "size": [ + 404.7544921875, + 314 + ], + "flags": {}, + "order": 1, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 11 + ] + }, + { + "name": "MASK", + "type": "MASK", + "slot_index": 1, + "links": [] + } + ], + "title": "📸 Load Reference Image (Mode B · set index=1 first)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "LoadImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "example.png", + "image" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 16, + "type": "Note", + "pos": [ + 758.1715284682243, + 140.43243799870632 + ], + "size": [ + 480, + 100 + ], + "flags": {}, + "order": 2, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "📌 Mode B (set Mode Switch index=1 to activate)", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "📸 MODE B — IMAGE REFERENCE → AI DESCRIBE (inactive by default, index=1)\n\nLoad any reference image below → QwenVL reads & describes it → Krea-2 generates inspired by its style and content.\nTo activate: set 🔀 Mode Switch [index] = 1 | To return to Mode A: set [index] = 0" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 15, + "type": "Note", + "pos": [ + -1217.0641009303586, + -231.8541608976175 + ], + "size": [ + 470, + 120 + ], + "flags": {}, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "📌 Mode A (index=0 — active by default)", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "✍️ MODE A — SUBJECT KEYWORD → AI PROMPT (active by default, index=0)\n\nType any subject keyword or phrase in [prompt_text] below.\nQwen3-VL-2B (local, ~3 GB, auto-downloads on first run) expands it into\na rich, photorealistic prompt for Krea-2 Turbo." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 20, + "type": "Note", + "pos": [ + -624, + -590 + ], + "size": [ + 300, + 130 + ], + "flags": {}, + "order": 4, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "📌 Mode Switch (0 = A | 1 = B)", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "🔀 MODE SWITCH (EasyUse Index Switch)\n\nindex = 0 → Mode A ✍️ PromptEnhancer (default)\nindex = 1 → Mode B 🔍 QwenVL VL (image reference)\n\nChange [index] widget to switch.\nNo rewiring, no bypass — just a number." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 21, + "type": "easy anythingIndexSwitch", + "pos": [ + -234, + -430 + ], + "size": [ + 372.9126953125, + 110 + ], + "flags": {}, + "order": 18, + "mode": 0, + "inputs": [ + { + "name": "value0", + "shape": 7, + "type": "*", + "link": 14 + }, + { + "name": "value1", + "shape": 7, + "type": "*", + "link": 15 + }, + { + "name": "value2", + "type": "*", + "link": null + } + ], + "outputs": [ + { + "name": "value", + "type": "*", + "slot_index": 0, + "links": [ + 16 + ] + } + ], + "title": "📐 Latent Switch — 0 = Landscape | 1 = Portrait", + "properties": { + "aux_id": "vjumpkung/ComfyUI-Easy-Use", + "ver": "e5ef628cd205cc7d6697f38d50ba909e784bd5eb", + "Node name for S&R": "easy anythingIndexSwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 0 + ] + }, + { + "id": 18, + "type": "Note", + "pos": [ + -234, + -590 + ], + "size": [ + 260, + 88 + ], + "flags": {}, + "order": 5, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "📌 Latent Switch", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "📐 LATENT · index 0 = Landscape 1920×1088 · index 1 = Portrait 1088×1920" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 2, + "type": "CLIPLoader", + "pos": [ + -1926.140514170977, + -61.12046791790624 + ], + "size": [ + 390, + 106 + ], + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "CLIP", + "type": "CLIP", + "slot_index": 0, + "links": [ + 2, + 3 + ] + } + ], + "title": "📝 CLIP — qwen3vl_4b_fp8 (type: krea2)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "CLIPLoader", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "qwen3vl_4b_fp8_scaled.safetensors", + "krea2", + "default" + ] + }, + { + "id": 3, + "type": "VAELoader", + "pos": [ + -1917.6933884505338, + 88.71900525797356 + ], + "size": [ + 300, + 100 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "VAE", + "type": "VAE", + "slot_index": 0, + "links": [ + 4 + ] + } + ], + "title": "🎨 VAE — qwen_image_vae (krea2)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "VAELoader", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "qwen_image_vae.safetensors" + ] + }, + { + "id": 1, + "type": "UNETLoader", + "pos": [ + -1926.140419259808, + -210.35260491978667 + ], + "size": [ + 401.808203125, + 110 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 1 + ] + } + ], + "title": "🧠 UNet — Krea-2 Turbo FP8 (AlperKTS/Krea2_FP8)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "UNETLoader", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Krea2\\krea2_turbo_fp8.safetensors", + "fp8_e4m3fn" + ] + }, + { + "id": 11, + "type": "Note", + "pos": [ + 204.14891325161983, + 999.7291835115822 + ], + "size": [ + 370, + 680 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "🚀 Quick Start", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "🚀 QUICK START\n\n▸ MODE A (keyword → AI-expanded prompt)\n 1. Type subject in ✍️ PromptEnhancer [prompt_text]\n 2. Click Queue Prompt\n\n▸ SWITCH TO MODE B (image reference)\n 1. Set 🔀 Mode Switch [index] = 1\n 2. Drop image into 📸 LoadImage\n 3. Click Queue Prompt\n\n↩ Back to Mode A: set [index] = 0\n\n─────────────────────────────────────────────\n▸ ASPECT RATIO\n 📐 Latent Switch [index]:\n 0 = Landscape 1920 × 1088 (16:9)\n 1 = Portrait 1088 × 1920 (9:16)\n─────────────────────────────────────────────\nBoth switches: just change a number.\nNo rewiring needed.\n─────────────────────────────────────────────\n▸ MODELS (download before first run)\n Manual → place in ComfyUI/models/\n unet/ krea2_turbo_fp8.safetensors\n clip/ qwen3vl_4b_fp8_scaled.safetensors\n vae/ qwen_image_vae.safetensors\n Source: huggingface.co/AlperKTS/Krea2_FP8\n\n Auto-download on first Queue (~4 GB):\n Qwen3-VL-2B-Instruct (via QwenVL node)\n─────────────────────────────────────────────\nSampler: euler · simple · 10 steps · cfg 1.0\nOutput: ComfyUI/output/krea2_turbo/\n\n─────────────────────────────────────────────\n▸ INLINE UPSCALE (SeedVR2 · auto-runs after generate)\n Auto-download on first Queue (~15.35 GB):\n seedvr2_ema_7b_fp16.safetensors (DiT)\n ema_vae_fp16.safetensors (VAE)\n 🖼️ Preview = pre-upscale image (from VAE Decode)\n 💾 Save Image = final upscaled output (~2× short side)\n─────────────────────────────────────────────" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 28, + "type": "PreviewImage", + "pos": [ + 195.25593858154977, + 361.61536297902137 + ], + "size": [ + 413.9, + 300 + ], + "flags": {}, + "order": 26, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 20 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "title": "🖼️ Preview — pre-upscale image (dead-end)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "PreviewImage", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [] + }, + { + "id": 9, + "type": "SaveImage", + "pos": [ + 956.9686774382617, + -576.0183570336084 + ], + "size": [ + 370, + 270 + ], + "flags": {}, + "order": 29, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 26 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "title": "💾 Save Image", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "SaveImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "krea2_turbo/output" + ] + }, + { + "id": 10, + "type": "AILab_QwenVL_PromptEnhancer", + "pos": [ + -1217.0641009303586, + -71.85416089761748 + ], + "size": [ + 470, + 560 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "ENHANCED_OUTPUT", + "type": "STRING", + "slot_index": 0, + "links": [ + 10 + ] + } + ], + "title": "✍️ QwenVL Prompt Enhancer ← type subject in [prompt_text]", + "properties": { + "cnr_id": "ComfyUI-QwenVL", + "ver": "fcd1ada87a28f922cb887f779db32429f78a022c", + "Node name for S&R": "AILab_QwenVL_PromptEnhancer", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Qwen3-VL-2B-Instruct", + "None (FP16)", + "auto", + false, + "auto", + "Intimate photograph of an adult woman on a bed wearing a sheer open robe with visible nudity underneath, soft golden-hour window light, relaxed pose, candid expression, film grain, warm tones.", + "📝 Detailed Visual", + "You are a prompt engineer for Krea2 (Qwen-Image) generating BOLD adult glamour photography prompts for a Civitai X-rated showcase. Realism is the #1 priority - the output image must read as a REAL PHOTOGRAPH, never a glossy render or CGI.\n\nInput: a short scene description (outfit, pose, location, gaze).\nOutput: ONE natural-language paragraph, 3-4 sentences (~90 words), written like a real photo shoot.\n\nREQUIRED:\n- Subject + minimal/sheer outfit (revealing coverage) + provocative yet natural, anatomically-correct pose + the location. Keep the bold, sensual mood.\n- Real camera + lens + aperture, e.g. \"shot on Sony A7IV, 85mm f/1.4\" or \"Canon EOS R5, 50mm f/1.8\"; shallow depth of field, soft background bokeh.\n- Real light: window light / soft golden-hour / overcast daylight / on-camera flash - soft and directional (NOT \"dramatic\").\n- Skin realism: visible pores and fine skin texture, natural imperfections, matte (not glossy) skin, unretouched, subtle film grain, warm Kodak Portra color.\n- A touch of candid imperfection: slightly off-guard expression, natural asymmetry, real-photo feel.\n\nHARD BAN - never output these words: 8k, 4k, ultra-detailed, hyperdetailed, masterpiece, best quality, cinematic, dramatic, dewy glow, luminous, glowing, radiant, flawless, porcelain, doll-like, teal-orange, award-winning, artstation, render, CGI, professional photography.\n\nNo names, no IP. 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"title": "VR2 Torch Compile (optional — disconnected, requires triton)", + "properties": { + "cnr_id": "seedvr2_videoupscaler", + "ver": "2.5.24", + "Node name for S&R": "SeedVR2TorchCompileSettings", + "aux_id": "numz/ComfyUI-SeedVR2_VideoUpscaler", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "inductor", + "default", + false, + false, + 64, + 128 + ], + "color": "#334433", + "bgcolor": "#446644" + }, + { + "id": 23, + "type": "SeedVR2LoadDiTModel", + "pos": [ + 1151.5461793244247, + 1200.9097847645926 + ], + "size": [ + 331.2, + 202 + ], + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [ + { + "name": "torch_compile_args", + "shape": 7, + "type": "TORCH_COMPILE_ARGS", + "link": 27 + } + ], + "outputs": [ + { + "name": "SEEDVR2_DIT", + "type": "SEEDVR2_DIT", + "slot_index": 0, + "links": [ + 21 + ] + } + ], + "title": "VR2 Load DiT", + "properties": { + "cnr_id": "seedvr2_videoupscaler", + 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], + "outputs": [ + { + "name": "value", + "type": "*", + "slot_index": 0, + "links": [ + 29 + ] + } + ], + "title": "🔀 Mode Switch — 0 = Mode A | 1 = Mode B", + "properties": { + "aux_id": "vjumpkung/ComfyUI-Easy-Use", + "ver": "e5ef628cd205cc7d6697f38d50ba909e784bd5eb", + "Node name for S&R": "easy anythingIndexSwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 0 + ] + }, + { + "id": 30, + "type": "PreviewAny", + "pos": [ + -628.1857310757337, + -175.12015313992046 + ], + "size": [ + 414.41845183114947, + 314.6679997688708 + ], + "flags": {}, + "order": 20, + "mode": 0, + "inputs": [ + { + "name": "source", + "type": "*", + "link": 29 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 30 + ] + } + ], + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {} + }, + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node 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"scale": 0.7972024500000033, + "offset": [ + 915.4596433570559, + 100.30987863102897 + ] + }, + "workflowRendererVersion": "LG", + "ue_links": [], + "frontendVersion": "1.45.19", + "VHS_latentpreview": false, + "VHS_latentpreviewrate": 0, + "VHS_MetadataImage": true, + "VHS_KeepIntermediate": true, + "links_added_by_ue": [] + }, + "version": 0.4 +} \ No newline at end of file diff --git a/krea2TurboExciterHR_v14InclDepthCtrlnet.json b/krea2TurboExciterHR_v14InclDepthCtrlnet.json new file mode 100644 index 0000000000000000000000000000000000000000..53b6fa97f107a9f9a383ab2c0deb16c9f97092e1 --- /dev/null +++ b/krea2TurboExciterHR_v14InclDepthCtrlnet.json @@ -0,0 +1,4502 @@ +{ + "id": "5be267d0-4295-4685-9a3b-6286ba349c91", + "revision": 0, + "last_node_id": 132, + "last_link_id": 192, + "nodes": [ + { + "id": 10, + "type": "VAEDecode", + "pos": [ + 2270, + 810 + ], + "size": [ + 230, + 60 + ], + "flags": {}, + "order": 71, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": 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"ttNbgOverride": { + "color": "#2a363b", + "bgcolor": "#3f5159", + "groupcolor": "#3f789e" + } + }, + "widgets_values": [ + "Krea2_26", + "WEBP (lossy)", + "Krea2", + "", + "-", + "disabled", + false, + "", + true, + 6, + "last", + true, + true, + ".webp", + 90, + false + ], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 12, + "type": "PreviewImage", + "pos": [ + 1640, + 290 + ], + "size": [ + 610, + 870 + ], + "flags": {}, + "order": 72, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 13 + } + ], + "outputs": [ + { + "name": "images", + "type": "IMAGE", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.30.0", + "Node name for S&R": "PreviewImage" + }, + "widgets_values": [], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 16, + "type": "PrimitiveStringMultiline", + "pos": [ + 1830, + -690 + ], + "size": [ + 450, + 500 + ], + "flags": {}, + "order": 0, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 15 + ] + } + ], + "title": "Text String (System Prompt)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.25.0", + "Node name for S&R": "PrimitiveStringMultiline" + }, + "widgets_values": [ + "You are an expert prompt engineer for text-to-image models. Your task is to expand the user's prompt into a highly effective image-generation prompt.\n\nThink step by step about the request before writing the answer:\n- What is the subject and mood?\n- What visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\n- What composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\n\nFollow these rules strictly:\n1. **Faithfulness First:** Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\n2. **Practical T2I Structure:** Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\n3. **Style Planning Stays Internal:** Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\n4. **Text Rendering:** If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\n5. **Avoid Over-Specification:** Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\n6. **Structure:** Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\n7. **Respect Existing Detail:** If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding — preserve their phrasing and direction.\n\n\nUser's Input:\n" + ] + }, + { + "id": 17, + "type": "StringConcatenate", + "pos": [ + 2330, + -690 + ], + "size": [ + 230, + 40 + ], + "flags": { + "collapsed": true + }, + "order": 44, + "mode": 4, + "inputs": [ + { + "name": "string_a", + "type": "STRING", + "widget": { + "name": "string_a" + }, + "link": 15 + }, + { + "name": "string_b", + "type": "STRING", + "widget": { + "name": "string_b" + }, + "link": 16 + } + ], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 17 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.25.0", + "Node name for S&R": "StringConcatenate" + }, + "widgets_values": [ + "", + "", + "" + ] + }, + { + "id": 18, + "type": "TextGenerate", + "pos": [ + 2290, + -640 + ], + "size": [ + 310, + 420 + ], + "flags": { + "collapsed": false + }, + "order": 48, + "mode": 4, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 27 + }, + { + "name": "image", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "video", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "audio", + "shape": 7, + "type": "AUDIO", + "link": null + }, + { + "name": "prompt", + "type": "STRING", + "widget": { + "name": "prompt" + }, + "link": 17 + } + ], + "outputs": [ + { + "name": "generated_text", + "type": "STRING", + "links": [ + 18 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.25.0", + "Node name for S&R": "TextGenerate" + }, + "widgets_values": [ + "", + 512, + "on", + 0.7, + 64, + 0.95, + 0.05, + 1.05, + 0, + 0, + true, + true + ] + }, + { + "id": 23, + "type": "ShowText|pysssss", + "pos": [ + 2270, + 900 + ], + "size": [ + 230, + 260 + ], + "flags": {}, + "order": 64, + "mode": 0, + "inputs": [ + { + "name": "text", + "type": "STRING", + "link": 28 + } + 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"properties": { + "cnr_id": "comfy-core", + "ver": "0.27.0", + "Node name for S&R": "GetImageSize" + }, + "widgets_values": [], + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": "box" + }, + { + "id": 71, + "type": "Note", + "pos": [ + 1070, + -260 + ], + "size": [ + 380, + 170 + ], + "flags": {}, + "order": 12, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "How does this work and what is happening?", + "properties": {}, + "widgets_values": [ + "Either set an image manually or set a directory where a random image get loaded from. Set the number of Images in said folder, so the random generator can chose one. \n\nIf you want to know how things work logically, you maximise each node by clicking on the point on the left on each of said nodes. Pull them around a little so see how they are connected (white lit cables).\n\nThe whole story: We load an image and send that image to a scaler to set the megapixels. After that we send it down there and analyze its height and width and create an empty latent from it (optional). If you follow that cable you will see another switch. It will always take the first signal from top. When you turn on *Use The Resolution From Style Image* it will take that Input (1), when disabled it will take the Input from the *Empty Latent Image* node.\n\nNow, we have an image and a resolution, so we send the image to the *Text Encode (Krea2)* node. We also send the text encoder (Clip) to it so it can analyse the image with it's *vl* capabilities. It will create a bunch of tokes and send it out (conditioning). Since we want the image to be guided by our normal text prompt, we send said text prompt also into the text encode (Krea2) node, basically mixing them. Since the style conditioning is ultra strong, we again mix the output with the original prompt conditioning, to weaken the effect. We then send the whole conditioning mix to the ksampler positive input after it passed another switch with the different conditionings. When the style transfer is disabled (1,2) it will take 3, our normal text conditioning." + ], + "color": "#323", + "bgcolor": "#535" + }, + { + "id": 121, + "type": "DepthAnythingV2Preprocessor", + "pos": [ + 1360, + -920 + ], + "size": [ + 240, + 90 + ], + "flags": {}, + "order": 49, + "mode": 4, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 175 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 173 + ] + } + ], + "properties": { + "cnr_id": "comfyui_controlnet_aux", + "ver": "e8b689a513c3e6b63edc44066560ca5919c0576e", + "Node name for S&R": "DepthAnythingV2Preprocessor" + }, + "widgets_values": [ + "depth_anything_v2_vits.pth", + 1024 + ], + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 126, + "type": "DepthAnythingV2Preprocessor", + "pos": [ + 650, + -920 + ], + "size": [ + 240, + 90 + ], + "flags": {}, + "order": 47, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 183 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 180 + ] + } + ], + "properties": { + "cnr_id": "comfyui_controlnet_aux", + "ver": "e8b689a513c3e6b63edc44066560ca5919c0576e", + "Node name for S&R": "DepthAnythingV2Preprocessor" + }, + "widgets_values": [ + "depth_anything_v2_vits.pth", + 1024 + ], + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 122, + "type": "Krea2ControlImageEncode", + "pos": [ + 1360, + -970 + ], + "size": [ + 290, + 250 + ], + "flags": { + "collapsed": true + }, + "order": 53, + "mode": 4, + "inputs": [ + { + "name": "control_image", + "type": "IMAGE", + "link": 173 + }, + { + "name": "vae", + "type": "VAE", + "link": 176 + }, + { + "name": "latent", + "shape": 7, + "type": "LATENT", + "link": null + } + ], + "outputs": [ + { + "name": "control_latent", + "type": "LATENT", + "links": [ + 172 + ] + }, + { + "name": "encoded_control_image", + "type": "IMAGE", + "links": [ + 174 + ] + } + ], + "properties": { + "aux_id": "facok/comfyui-krea2-controlnet", + "ver": "79ebfd3bd80d2180b334dd7ce57f3c9ddaa0848f", + "Node name for S&R": "Krea2ControlImageEncode" + }, + "widgets_values": [ + "keep_control_image_size", + "bilinear", + "center", + "rgb", + "none", + false, + "independent_images" + ] + }, + { + "id": 120, + "type": "Krea2ControlApply", + "pos": [ + 1360, + -1010 + ], + "size": [ + 180, + 50 + ], + "flags": { + "collapsed": true + }, + "order": 63, + "mode": 4, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 171 + }, + { + "name": "control_latent", + "type": "LATENT", + "link": 172 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 178 + ] + } + ], + "properties": { + "aux_id": "facok/comfyui-krea2-controlnet", + "ver": "79ebfd3bd80d2180b334dd7ce57f3c9ddaa0848f", + "Node name for S&R": "Krea2ControlApply" + }, + "widgets_values": [] + }, + { + "id": 72, + "type": "Note", + "pos": [ + 1300, + 150 + ], + "size": [ + 330, + 100 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Helpful Infos", + "properties": {}, + "widgets_values": [ + "The pink box is your friend and will explain complicated things, so have a read if you want to understand things. Also feel free to ask Cushycrux on Civitai with a comment.\nTip 1: Use the text enhancer when use style transfer to make your prompt stronger (and not be igrored)!" + ], + "color": "#323", + "bgcolor": "#535" + }, + { + "id": 132, + "type": "Note", + "pos": [ + 1020, + 940 + ], + "size": [ + 380, + 100 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Presereve Image Controlnet Proportions", + "properties": {}, + "widgets_values": [ + "If you use control net (depth), also enable *Use Res from Ctrl/Style Image* if you want the same proportions. Use *Megapixel Ctrl / Style*, the green box, right here, above the other two boxes to set the resolution instead. " + ], + "color": "#323", + "bgcolor": "#535" + }, + { + "id": 26, + "type": "Fast Groups Bypasser (rgthree)", + "pos": [ + 1020, + 670 + ], + "size": [ + 380, + 230 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "properties": { + "matchColors": "", + "matchTitle": "", + "showNav": true, + "showAllGraphs": true, + "sort": "position", + "customSortAlphabet": "", + "toggleRestriction": "default", + "ttNbgOverride": { + "color": "#2a363b", + "bgcolor": "#3f5159", + "groupcolor": "#3f789e" + } + }, + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 29, + "type": "ImpactWildcardProcessor", + "pos": [ + 1300, + 290 + ], + "size": [ + 330, + 270 + ], + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "processed text", + "type": "STRING", + "links": [ + 49 + ] + } + ], + "properties": { + "cnr_id": "comfyui-impact-pack", + "ver": "429d0159ad429e64d2b3916e6e7be9c22d025c3c", + "Node name for S&R": "ImpactWildcardProcessor" + }, + "widgets_values": [ + "Lego Bricks", + "Lego Bricks", + "populate", + 966344273657988, + "randomize", + "Select Wildcard 🟢 Full Cache" + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 15, + "type": "Reroute", + "pos": [ + 2020, + -810 + ], + "size": [ + 75, + 26 + ], + "flags": {}, + "order": 37, + "mode": 0, + "inputs": [ + { + "name": "", + "type": "*", + "widget": { + "name": "value" + }, + "link": 50 + } + ], + "outputs": [ + { + "name": "", + "type": "STRING", + "links": [ + 16, + 22 + ] + } + ], + "properties": { + "showOutputText": false, + "horizontal": false + } + }, + { + "id": 127, + "type": "Krea2ControlLoRALoader", + "pos": [ + 410, + -920 + ], + "size": [ + 230, + 90 + ], + "flags": {}, + "order": 35, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 184 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 181 + ] + } + ], + "properties": { + "aux_id": "facok/comfyui-krea2-controlnet", + "ver": "79ebfd3bd80d2180b334dd7ce57f3c9ddaa0848f", + "Node name for S&R": "Krea2ControlLoRALoader" + }, + "widgets_values": [ + "krea2\\k2-depth-control-lora.safetensors", + 1 + ], + "color": "#233", + "bgcolor": "#355" + }, + { + "id": 130, + "type": "Note", + "pos": [ + 1620, + -1090 + ], + "size": [ + 470, + 260 + ], + "flags": {}, + "order": 17, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "How does this work and what is happening?", + "properties": {}, + "widgets_values": [ + "Prerequisites:\n--------------\n\nThis workflow uses the followingnodes, if you want to gain further knowledge:\n\nhttps://github.com/Fannovel16/comfyui_controlnet_aux\nhttps://github.com/facok/comfyui-krea2-controlnet\nhttps://github.com/kijai/ComfyUI-DepthAnythingV2\n\nIf you've got an error message by loading this workflow about missing nodes, Open the Manager and click on \"Install Missing Custom Nodes\". When you queue the first, the models should be downloaded and placed automatically in your model folder. If not, please take your time, open the URL's from above and follow the instructions.\n\nkrea2-controlnet MUST BE INSTALLED MANUALLY, IS NOT IN THE MANAGER CATALOG. This is super easy. Open the website (link above), click on the green \"Code\" button and take the last option (download ZIP). Now open that ZIP file and put the folder inside it into your custom-node directory (...\\ComfyUI\\custom_nodes\\). Restart ComfyUI with the manager. Done.\n\nDownload depth-control-lora.safetensors from here:\nhttps://huggingface.co/Patil/Krea-2-depth-controlnet/tree/main and put it into your lora folder. Reselect the LoRa in the *Krea2 Control LoRa Loader* node.\n\nIf you have problems, feel free to ask me on the civitai webpage. Leave a comment.\n\nEither set an image manually or set a directory where a random image get loaded from. 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It is not sold\non its own — it comes with the Krea 2 course, and you get the file when you finish it.\n**stableyogi.com**" + ], + "color": "#432", + "bgcolor": "#653" + } + ], + "links": [ + [ + 1, + 2, + 0, + 3, + 0, + "MODEL" + ], + [ + 2, + 3, + 0, + 4, + 0, + "MODEL" + ], + [ + 3, + 5, + 0, + 7, + 0, + "CLIP" + ], + [ + 4, + 7, + 0, + 8, + 0, + "CONDITIONING" + ], + [ + 5, + 5, + 0, + 9, + 0, + "CLIP" + ], + [ + 6, + 11, + 0, + 12, + 0, + "IMAGE" + ], + [ + 7, + 6, + 0, + 12, + 1, + "VAE" + ], + [ + 8, + 4, + 0, + 13, + 0, + "MODEL" + ], + [ + 9, + 7, + 0, + 13, + 1, + "CONDITIONING" + ], + [ + 10, + 9, + 0, + 13, + 2, + "CONDITIONING" + ], + [ + 11, + 4, + 0, + 14, + 0, + "MODEL" + ], + [ + 12, + 7, + 0, + 14, + 1, + "CONDITIONING" + ], + [ + 13, + 9, + 0, + 14, + 2, + "CONDITIONING" + ], + [ + 14, + 10, + 0, + 13, + 3, + "LATENT" + ], + [ + 15, + 12, + 0, + 14, + 3, + "LATENT" + ], + [ + 16, + 13, + 0, + 15, + 0, + "LATENT" + ], + [ + 17, + 14, + 0, + 15, + 1, + "LATENT" + ], + 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"hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "previewExposures": [] + }, + "widgets_values": [ + 10, + 1, + "er_sde", + "simple", + 0.25, + "detailed face, sharp detailed eyes, natural skin texture, fine skin pores, realistic lighting" + ] + }, + { + "id": 26, + "type": "MarkdownNote", + "pos": [ + -1352.5657025143275, + -103.79235292817748 + ], + "size": [ + 560, + 1180 + ], + "flags": {}, + "order": 0, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "README — 導入と使い方", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# Krea2 Turbo — Hires + Detailer Workflow `v1.1`\n\nKrea 2 Turbo で **生成 → 高解像度化 → 顔補正 → 手補正** までを1本で行うワークフローです。\n各工程はサブグラフ化されており、**Ctrl+B / Fast Groups Bypasser で個別にオン・オフ**できます。\n\n```\nKrea2Turbo 1040x1440 / 8 steps / cfg 1\n ↓\nHires Fix 1.5x -> 1560x2160 / denoise 0.25\n ↓\nFace Detailer 768px crop / 10 steps / denoise 0.25\n ↓\nHand Detailer 512px crop / 12 steps / denoise 0.30\n ↓\nSAM3 Detailer text prompt / 1024px / denoise 0.25 ← v1.1 で追加\n ↓\nSaveImage 1560x2160\n```\n\n---\n\n## 1. 必要なもの\n\n### カスタムノード (ComfyUI Manager から)\n\n| 名前 | 用途 |\n|---|---|\n| rgthree-comfy | Power Lora Loader / Image Comparer / Fast Groups Bypasser |\n| ComfyUI-Impact-Pack | FaceDetailer |\n| ComfyUI-Impact-Subpack | UltralyticsDetectorProvider |\n| ComfyUI-Easy-Sam3 | SAM3 によるテキスト指定の領域検出 (SAM3 グループ用) |\n\n以下は既定でバイパスされているため、**なくても動きます**(グループを有効化する場合のみ必要)。\n\n- [ConditioningKrea2Rebalance](https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance)\n- [Seed Variance Enhancer](https://drive.google.com/drive/folders/1QxY6l4dEUnOjjiWLURSSrbLo6LebjIX6?usp=drive_link)\n — Zip 解凍後 `Krea2Turbo_Seed_Variance_Enhancer` を `custom_nodes` へ配置して再起動\n- EulerFlowMatchingDiscreteScheduler(Krea2Turbo 内の 2nd pass 用)\n\n### モデル配置\n\n```\nComfyUI/models/\n├─ diffusion_models/ krea2_turbo_fp8_scaled.safetensors\n├─ text_encoders/ qwen3vl_4b_fp8_scaled.safetensors\n├─ vae/ qwen_image_vae.safetensors\n├─ ultralytics/bbox/ face_yolov8m.pt\n│ hand_yolov8s.pt\n└─ sam3/ sam3-fp16.safetensors\n```\n\n- [krea2_turbo_fp8_scaled](https://huggingface.co/Comfy-Org/Krea-2/tree/main/diffusion_models)\n- [qwen3vl_4b_fp8_scaled](https://huggingface.co/Comfy-Org/Qwen3-VL/tree/main/text_encoders)\n- [qwen_image_vae](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/vae/qwen_image_vae.safetensors)\n- YOLO 検出モデルは Impact-Subpack 導入後、Manager の Model Manager から\n `face_yolov8m` / `hand_yolov8s` を検索してインストールできます\n- [sam3-fp16.safetensors](https://huggingface.co/yolain/sam3-safetensors) —\n `models/sam3/` フォルダを作って配置。本家 [facebook/sam3](https://huggingface.co/facebook/sam3)\n の `sam3.pt` でも動きますが、そちらは HuggingFace での利用申請が必要です\n\n---\n\n## 2. 使い方(最短手順)\n\n1. `Krea2Turbo` ノードをダブルクリックして中に入る\n2. **Positive Prompt** を書き換える\n3. 必要なら `Power Lora Loader` に LoRA を追加(既定では空)\n4. Queue Prompt\n\n出力は `ComfyUI/output/Krea2Turbo/` に保存されます。\n`Preview (Detailed vs RAW)` でスライダーを動かすと、**補正後 / 生成そのまま**を比較できます。\n\n---\n\n## 3. 各グループの役割\n\n### Krea2Turbo\nモデル・CLIP・VAE のロードとベース生成。解像度・プロンプト・steps はこの中にあります。\n内部に 2nd pass 用の `SamplerCustom` がありますが、**既定ではバイパス**(1パス動作)です。\n\n### Hires Fix\n`ImageScaleBy → VAEEncode → KSampler → VAEDecode`。\n拡大した上でもう一度拡散をかけるため、**元の解像度では描けなかった微細ディテールが実際に生成されます**。\n単純な拡大とは別物です。\n\n### Face Detailer\nYOLO で顔を検出 → その領域だけを高解像度で再生成 → 元画像に合成。\n遠景の小さい顔や、LoRA で崩れた顔の修復に効きます。SAM は速度優先で既定オフ。\n\n### Hand Detailer\n同じ仕組みを `hand_yolov8s.pt` で手に適用。手が写らない構図では**バイパス推奨**(そのぶん速くなります)。\n\n### SAM3 Detailer `v1.1`\nYOLO のように専用の検出モデルを用意せず、**テキストで検出対象を指定**できる Detailer。\n`SAM3 Segmentation` の `prompt` に `face, hand` のようにカンマ区切りで書くだけで、\n目・服・アクセサリなど任意の対象を描き直せます。\n検出範囲は `SAM3 Detection Preview` で事前に確認できます。\nFace / Hand Detailer と役割が重なるため、**併用せずどちらかを使う**のがおすすめです。\n\n### Seed Variance Enhancer\n同一シードでの微細なバリエーション生成用。既定バイパス。\n\n---\n\n## 4. バイパスの作法\n\n**必ずグループ単位でオフにしてください。**\nすべてのグループは IMAGE / CONDITIONING が素通りする構造になっています。\n\n| グループ | Ctrl+B |\n|---|---|\n| Hires Fix | ○ |\n| Face Detailer | ○ |\n| Hand Detailer | ○ |\n| SAM3 Detailer | ○ |\n| Seed Variance Enhancer | ○ |\n\n`Hand Detector` だけを個別にオフにすると `bbox_detector` が欠落してエラーになります。\n\n---\n\n## 5. クレジット / ライセンス\n\nこのワークフロー(JSON)は自由に使用・改変・再配布して構いません。\n再配布の際は出典を書いていただけると嬉しいです。\n\nただし **ワークフローが利用しているモデル・カスタムノードには\nそれぞれの配布元のライセンス**が適用されます。商用利用の可否などは\n各配布元の記載を確認してください。\n\n| 依存物 | 配布元 |\n|---|---|\n| Krea 2 Turbo / Qwen3-VL / Qwen-Image VAE | [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2) |\n| SAM3 | [facebook/sam3](https://huggingface.co/facebook/sam3) |\n| ComfyUI-Impact-Pack / Subpack | [ltdrdata](https://github.com/ltdrdata/ComfyUI-Impact-Pack) |\n| ComfyUI-Easy-Sam3 | [yolain](https://github.com/yolain/ComfyUI-Easy-Sam3) |\n| rgthree-comfy | [rgthree](https://github.com/rgthree/rgthree-comfy) |\n\nサンプル画像のプロンプトはそのまま同梱しています。差し替えて構いません。\n\n---\n\n## 6. 更新履歴\n\n- `v1.1` — SAM3 Detailer グループを追加(テキスト指定で顔・手などを再描画)\n- `v1.0` — 初版(Krea2Turbo / Hires Fix / Face Detailer / Hand Detailer)\n" + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 80, + "type": "UltralyticsDetectorProvider", + "pos": [ + 1500, + -180 + ], + "size": [ + 300, + 82 + ], + "flags": {}, + "order": 1, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "BBOX_DETECTOR", + "type": "BBOX_DETECTOR", + "slot_index": 0, + "links": [ + 250 + ] + }, + { + "name": "SEGM_DETECTOR", + "type": "SEGM_DETECTOR", + "slot_index": 1, + "links": [] + } + ], + "title": "Hand Detector (YOLO)", + "properties": { + "Node name for S&R": "UltralyticsDetectorProvider", + "cnr_id": "comfyui-impact-subpack", + "ver": "1.3.5", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + 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(2nd Pass)", + "properties": { + "proxyWidgets": [], + "Node name for S&R": "Hires Fix", + "cnr_id": "comfy-core", + "ver": "0.26.0", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "previewExposures": [ + { + "name": "$$canvas-image-preview", + "sourceNodeId": "3", + "sourcePreviewName": "$$canvas-image-preview" + } + ] + } + }, + { + "id": 97, + "type": "MarkdownNote", + "pos": [ + 1120, + 60 + ], + "size": [ + 300, + 180 + ], + "flags": {}, + "order": 2, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "Hires Fix の使い方", + "properties": { + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "**編集はダブルクリックで中へ**\n\n- `Upscale Image` → scale_by = 1.5\n- `2nd Pass` → steps 12 / denoise 0.25\n\n変わりすぎる → denoise 0.15\nVRAM 不足 → scale_by 1.25\n\nCtrl+B でこのノードごと安全にオフにできます。\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 101, + "type": "MarkdownNote", + "pos": [ + -1352, + 1090 + ], + "size": [ + 560, + 1180 + ], + "flags": {}, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "パラメータ調整ガイド", + "properties": { + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + }, + "widgets_values": [ + "# パラメータ調整ガイド\n\n## 目的から引く\n\n| やりたいこと | 触る場所 | 方向 |\n|---|---|---|\n| 絵が変わりすぎる | Hires Fix 内 KSampler の `denoise` | 0.25 → 0.15 |\n| 顔の同一性を保ちたい | Face Detailer の `denoise` | 0.25 → 0.20 |\n| 顔がもっとくっきり | Face Detailer の `denoise` | 0.25 → 0.35 |\n| 出力をもっと大きく | Hires Fix 内 `ImageScaleBy` の `scale_by` | 1.5 → 2.0 |\n| 速くしたい | ベース `steps` / Hand Detailer | 8 → 6 / バイパス |\n| VRAM が足りない | `scale_by` | 1.5 → 1.25 |\n\n---\n\n## Krea2Turbo(ベース生成)\n\n| 項目 | 既定 | 備考 |\n|---|---|---|\n| width / height | 1040 x 1440 | 16 の倍数にすること |\n| steps | 8 | turbo なので 6〜10 で十分 |\n| cfg | **1.0** | 蒸留モデルのため上げない。上げると破綻します |\n| sampler / scheduler | er_sde / simple | euler + simple も可 |\n\n`cfg = 1.0` のときネガティブプロンプトは**効きません**。これは仕様です。\n\n小さく生成して Hires で伸ばす方が、最初から大きく生成するより速く、破綻も減ります。\n\n---\n\n## Hires Fix\n\n| 項目 | 既定 | 効果 |\n|---|---|---|\n| scale_by | 1.5 | 最終解像度を決める |\n| steps | 12 | 実効ステップ = steps x denoise ≒ 3 |\n| denoise | 0.25 | **最重要**。ここだけで印象が決まります |\n\n- `0.15〜0.20` … 構図を保ったまま解像感だけ上げる(安全)\n- `0.25〜0.35` … ディテールは増えるが細部が変化する\n- `0.40〜` … 別物になる。破綻しやすい\n\ndenoise を下げるときは steps を維持または増やしてください。\n実効ステップが 2 を切ると輪郭が溶けます。\n\n---\n\n## Face Detailer / Hand Detailer\n\n| 項目 | Face | Hand | 意味 |\n|---|---|---|---|\n| guide_size | 768 | 512 | 検出領域をこのサイズに拡大して再生成 |\n| max_size | 1024 | 1024 | 上限 |\n| steps | 10 | 12 | |\n| denoise | 0.25 | 0.30 | 上げるほど描き直しに近づく |\n| feather | 12 | 10 | 合成の境界ぼかし |\n| bbox_threshold | 0.5 | 0.4 | 下げると検出しやすいが誤検出も増える |\n| bbox_crop_factor | 2.0 | 2.5 | 大きいほど周囲を巻き込む。3.0 は広すぎ |\n| cycle | 1 | 1 | 2 にすると弱めを2回。破綻しにくいが倍の時間 |\n| wildcard | 顔用プロンプト | 手用プロンプト | この領域専用の指示。効果大 |\n\n**顔が検出されない場合** … `bbox_threshold` を 0.3 まで下げる、\nまたは `drop_size` を小さくする(小さい顔が無視されています)。\n\n**合成の境目が見える場合** … `feather` と `noise_mask_feather` を上げる。\n\n---\n\n## シード運用\n\n`randomize` は **Krea2Turbo 内の KSampler だけ**です。\nHires と Detailer は `fixed`。これにより「ベースの絵だけがガチャ、後処理は毎回同じ挙動」になり、\n設定を比較検証できます。全部 randomize にすると原因の切り分けができなくなります。\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 102, + "type": "MarkdownNote", + "pos": [ + -1352, + 2330 + ], + "size": [ + 560, + 1100 + ], + "flags": {}, + "order": 4, + "mode": 0, + "inputs": [], + 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Back-to-back queued generations can climb\nhigher due to a known ComfyUI/PyTorch VRAM-fragmentation effect (not fixable in-graph) — restart\nComfyUI between heavy sessions for the most predictable low-VRAM behavior.\nManual override: set node 45's own [mode] widget to Force Index 0 / Force Index 1." + ], + "color": "#1e4d2b", + "bgcolor": "#2a5a3a" + }, + { + "id": 1, + "type": "UNETLoader", + "pos": [ + 500.06, + 55.0 + ], + "size": [ + 401.808203125, + 110 + ], + "flags": {}, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 4 + ] + } + ], + "title": "🧠 UNet — Krea-2 Turbo FP8 (AlperKTS/Krea2_FP8)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "UNETLoader", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Krea2\\krea2_turbo_fp8.safetensors", + "fp8_e4m3fn" + ] + }, + { + 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"ver": "0.26.0", + "Node name for S&R": "VAELoader", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "qwen_image_vae.safetensors" + ] + }, + { + "id": 17, + "type": "Note", + "pos": [ + 500.06, + 506.8704526451097 + ], + "size": [ + 370, + 230 + ], + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "⚖️ License", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "⚖️ LICENSE\n\nKrea-2 model: krea-2-community-license\n ✓ Commercial use allowed\n\nWeights (UNet + CLIP + VAE):\n huggingface.co/AlperKTS/Krea2_FP8\nQwenVL: Apache-2.0 (1038lab/ComfyUI-QwenVL)\n LLM auto-downloads: Qwen/Qwen3-VL-2B-Instruct\nSeedVR2: numz/ComfyUI-SeedVR2_VideoUpscaler\nWorkflow: CC0 — free to use, share, modify" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 10, + "type": "AILab_QwenVL_PromptEnhancer", + "pos": [ + 1022.65, + 54.648767215120344 + ], + "size": [ + 562.8169411491674, + 560 + ], + "flags": {}, + "order": 22, + "mode": 0, + "inputs": [ + { + "name": "custom_system_prompt", + "type": "STRING", + "widget": { + "name": "custom_system_prompt" + }, + "link": 38 + } + ], + "outputs": [ + { + "name": "ENHANCED_OUTPUT", + "type": "STRING", + "slot_index": 0, + "links": [ + 6 + ] + } + ], + "title": "✍️ QwenVL Prompt Enhancer ← type subject in [prompt_text]", + "properties": { + "cnr_id": "ComfyUI-QwenVL", + "ver": "fcd1ada87a28f922cb887f779db32429f78a022c", + "Node name for S&R": "AILab_QwenVL_PromptEnhancer", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Qwen3-VL-2B-Instruct", + "None (FP16)", + "auto", + false, + "auto", + "golden retriever puppy in a sunlit garden", + "📝 Detailed Visual", + "", + 200, + 0.7, + 0.9, + 1.1, + false, + 2632340227, + "randomize" + ], + "color": "#374445", + "bgcolor": "#474539" + }, + { + "id": 19, + "type": "easy anythingIndexSwitch", + "pos": [ + 1022.65, + 1028.7067945745146 + ], + "size": [ + 417.86279847588196, + 112.71057640175377 + ], + "flags": {}, + "order": 27, + "mode": 0, + "inputs": [ + { + "name": "value0", + "shape": 7, + "type": "*", + "link": 6 + }, + { + "name": "value1", + "shape": 7, + "type": "*", + "link": 8 + }, + { + "name": "value2", + "type": "*", + "link": null + } + ], + "outputs": [ + { + "name": "value", + "type": "*", + "slot_index": 0, + "links": [ + 9 + ] + } + ], + "title": "🔀 Mode Switch — 0 = Mode A | 1 = Mode B", + "properties": { + "aux_id": "vjumpkung/ComfyUI-Easy-Use", + "ver": "e5ef628cd205cc7d6697f38d50ba909e784bd5eb", + "Node name for S&R": "easy anythingIndexSwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 0 + ] + }, + { + "id": 12, + "type": "LoadImage", + "pos": [ + 1022.65, + 663.7678141914572 + ], + "size": [ + 464.8125570365095, + 326 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 7 + ] + }, + { + "name": "MASK", + "type": "MASK", + "slot_index": 1, + "links": [] + } + ], + "title": "📸 Load Reference Image (Mode B · set index=1 first)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "LoadImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "example.png", + "image" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 21, + "type": "easy anythingIndexSwitch", + "pos": [ + 1022.65, + 1194.1762847660423 + ], + "size": [ + 372.9126953125, + 110 + ], + "flags": {}, + "order": 24, + "mode": 0, + "inputs": [ + { + "name": "value0", + "shape": 7, + "type": "*", + "link": 10 + }, + { + "name": "value1", + "shape": 7, + "type": "*", + "link": 11 + }, + { + "name": "value2", + "type": "*", + "link": null + } + ], + "outputs": [ + { + "name": "value", + "type": "*", + "slot_index": 0, + "links": [ + 12 + ] + } + ], + "title": "📐 Latent Switch — 0 = Landscape | 1 = Portrait", + "properties": { + "aux_id": "vjumpkung/ComfyUI-Easy-Use", + "ver": "e5ef628cd205cc7d6697f38d50ba909e784bd5eb", + "Node name for S&R": "easy anythingIndexSwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 0 + ] + }, + { + "id": 23, + "type": "KreaVRAMPrep", + "pos": [ + 1022.65, + 1347.7445329774093 + ], + "size": [ + 558.3716796875, + 130 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "slot_index": 0, + "links": [] + } + ], + "title": "🎯 VRAM Cap — target_usable_gb=6.5 (self-adapting headroom, always runs)", + "properties": { + "Node name for S&R": "KreaVRAMPrep", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + }, + "cnr_id": "comfyui-krea-vram-auto", + "ver": "HEAD" + }, + "widgets_values": [ + 6.5 + ], + "color": "#2a3a2a", + "bgcolor": "#3a5a3a" + }, + { + "id": 27, + "type": "easy anythingIndexSwitch", + "pos": [ + 1022.65, + 1529.7755258899588 + ], + "size": [ + 531.991796875, + 150 + ], + "flags": {}, + "order": 37, + "mode": 0, + "inputs": [ + { + "name": "value0", + "shape": 7, + "type": "*", + "link": 20 + }, + { + "name": "value1", + "shape": 7, + "type": "*", + "link": 27 + }, + { + "name": "index", + "type": "INT", + "widget": { + "name": "index" + }, + "link": 28 + }, + { + "name": "value2", + "type": "*", + "link": null + } + ], + "outputs": [ + { + "name": "value", + "type": "*", + "slot_index": 0, + "links": [ + 29 + ] + } + ], + "title": "🔀 Upscale On/Off — 0=Off(native) | 1=On(SeedVR2) — index auto-driven", + "properties": { + "aux_id": "vjumpkung/ComfyUI-Easy-Use", + "ver": "e5ef628cd205cc7d6697f38d50ba909e784bd5eb", + "Node name for S&R": "easy anythingIndexSwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 0 + ] + }, + { + "id": 28, + "type": "easy anythingIndexSwitch", + "pos": [ + 1022.65, + 1726.8015988375885 + ], + "size": [ + 546.3424651387483, + 188.05608186719564 + ], + "flags": {}, + "order": 31, + "mode": 0, + "inputs": [ + { + "name": "value0", + "shape": 7, + "type": "*", + "link": 15 + }, + { + "name": "value1", + "shape": 7, + "type": "*", + "link": 16 + }, + { + "name": "value2", + "type": "*", + "link": null + } + ], + "outputs": [ + { + "name": "value", + "type": "*", + "slot_index": 0, + "links": [ + 17 + ] + } + ], + "title": "⚖️ Rebalance Toggle — 0=Off(raw) | 1=On(rebalanced, default)", + "properties": { + "aux_id": "vjumpkung/ComfyUI-Easy-Use", + "ver": "e5ef628cd205cc7d6697f38d50ba909e784bd5eb", + "Node name for S&R": "easy anythingIndexSwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 1 + ] + }, + { + "id": 32, + "type": "easy string", + "pos": [ + 1872.88, + 518.0657774620114 + ], + "size": [ + 440, + 160 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "string", + "type": "STRING", + "slot_index": 0, + "links": [ + 38 + ] + } + ], + "title": "📝 Instruction — Mode A (PromptEnhancer)", + "properties": { + "aux_id": "vjumpkung/ComfyUI-Easy-Use", + "ver": "e5ef628cd205cc7d6697f38d50ba909e784bd5eb", + "Node name for S&R": "easy string", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "You are a professional AI image prompt writer for Krea-2 Turbo. Input: a subject keyword or short phrase — the user supplies the subject entirely (person, animal, object, landscape, anything). Task: expand ONLY that exact subject and keywords into a rich, photorealistic image-generation prompt. Never replace it with a different subject. Include: subject & action, environment/setting, lighting & mood, color palette. Output ONLY the prompt text — no labels, no explanations, no bullet points, no \"Keyword:\" line, no meta-commentary. Max 100 words.\n\nHARD BAN: never output these words: 8k, 4k, ultra-detailed, hyperdetailed, masterpiece, best quality, cinematic, dramatic, dewy glow, luminous, glowing, radiant, flawless, porcelain, doll-like, teal-orange, award-winning, artstation, render, CGI, professional photography" + ] + }, + { + "id": 34, + "type": "easy string", + "pos": [ + 1872.88, + 752.1180058344271 + ], + "size": [ + 440, + 160 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "string", + "type": "STRING", + "slot_index": 0, + "links": [ + 39 + ] + } + ], + "title": "📝 Instruction — Mode B (image-describe)", + "properties": { + "aux_id": "vjumpkung/ComfyUI-Easy-Use", + "ver": "e5ef628cd205cc7d6697f38d50ba909e784bd5eb", + "Node name for S&R": "easy string", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Describe this reference image for Krea-2 image generation. Analyze the image and output a detailed visual prompt based strictly on what you see: subject, outfit/appearance, environment, lighting, camera/lens details, color palette, mood, composition. Output ONLY the prompt text — no labels, no explanations, no bullet points, no meta-commentary. Max 100 words.\n\nHARD BAN: never output these words: 8k, 4k, ultra-detailed, hyperdetailed, masterpiece, best quality, cinematic, dramatic, dewy glow, luminous, glowing, radiant, flawless, porcelain, doll-like, teal-orange, award-winning, artstation, render, CGI, professional photography" + ] + }, + { + "id": 22, + "type": "ConditioningKrea2Rebalance", + "pos": [ + 2554.52, + 865.3979755803219 + ], + "size": [ + 399.483984375, + 120 + ], + "flags": {}, + "order": 30, + "mode": 0, + "inputs": [ + { + "name": "conditioning", + "type": "CONDITIONING", + "link": 14 + } + ], + "outputs": [ + { + "name": "conditioning", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 16 + ] + } + ], + "title": "⚖️ Conditioning Krea2 Rebalance — A/B bench node", + "properties": { + "aux_id": "nova452/ComfyUI-Conditioning-Rebalance", + "ver": "HEAD", + "Node name for S&R": "ConditioningKrea2Rebalance", + "cnr_id": "ComfyUI-Conditioning-Rebalance", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 1, + "1,1,1,1,1,1,1,2.5,5.0,1.1,4.0,1.0" + ] + }, + { + "id": 14, + "type": "EmptySD3LatentImage", + "pos": [ + 2554.52, + 677.7383142236646 + ], + "size": [ + 280, + 106 + ], + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 11 + ] + } + ], + "title": "📐 Portrait 1088 × 1920 (9:16)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "EmptyLatentImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 1088, + 1920, + 1 + ] + }, + { + "id": 6, + "type": "EmptySD3LatentImage", + "pos": [ + 2554.52, + 512.1000058568209 + ], + "size": [ + 280, + 106 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 10 + ] + } + ], + "title": "📐 Landscape 1920 × 1088 (16:9)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "EmptyLatentImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 1920, + 1088, + 1 + ] + }, + { + "id": 8, + "type": "VAEDecode", + "pos": [ + 3097.73, + 737.8159923336286 + ], + "size": [ + 240, + 110 + ], + "flags": {}, + "order": 34, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 19 + }, + { + "name": "vae", + "type": "VAE", + "link": 3 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 20, + 21, + 22 + ] + } + ], + "title": "🖼️ VAE Decode", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.26.0", + "Node name for S&R": "VAEDecode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + } + }, + { + "id": 40, + "type": "easy cleanGpuUsed", + "pos": [ + 3097.73, + 597.757964974235 + ], + "size": [ + 512.8306640625, + 60 + ], + "flags": {}, + "order": 33, + "mode": 0, + "inputs": [ + { + "name": "anything", + "type": "*", + "link": 18 + } + ], + "outputs": [ + { + "name": "output", + "type": "*", + "links": [ + 19 + ] + } + ], + "title": "🧹 Clean GPU — pre-decode (evicts Krea2 UNet before VR2 DiT loads)", + "properties": { + "aux_id": "vjumpkung/ComfyUI-Easy-Use", + "ver": "e5ef628cd205cc7d6697f38d50ba909e784bd5eb", + "Node name for S&R": "easy cleanGpuUsed", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + } + }, + { + "id": 24, + "type": "KreaVRAMPeakStampStart", + "pos": [ + 3712.94, + 96.0 + ], + "size": [ + 470.3434161377403, + 37.65666150464335 + ], + "flags": {}, + "order": 20, + "mode": 0, + "inputs": [ + { + "name": "trigger", + "type": "*", + "link": 4 + } + ], + "outputs": [ + { + "name": "trigger", + "type": "*", + "slot_index": 0, + "links": [ + 5 + ] + } + ], + "title": "⏱️ Peak VRAM Stamp — START (spliced on MODEL chain)", + "properties": { + "Node name for S&R": "KreaVRAMPeakStampStart", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + }, + "cnr_id": "comfyui-krea-vram-auto", + "ver": "HEAD" + }, + "color": "#2a3a2a", + "bgcolor": "#3a5a3a" + }, + { + "id": 25, + "type": "KreaVRAMPeakStampEnd", + "pos": [ + 3712.94, + 182.79032269246343 + ], + "size": [ + 489.5748046875, + 64.22674413296204 + ], + "flags": {}, + "order": 38, + "mode": 0, + "inputs": [ + { + "name": "trigger", + "type": "*", + "link": 29 + } + ], + "outputs": [ + { + "name": "passthrough", + "type": "*", + "slot_index": 0, + "links": [ + 30 + ] + }, + { + "name": "peak_report", + "type": "STRING", + "slot_index": 1, + "links": [ + 31 + ] + } + ], + "title": "⏱️ Peak VRAM Stamp — END (spliced right before final SaveImage)", + "properties": { + "Node name for S&R": "KreaVRAMPeakStampEnd", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + }, + "cnr_id": "comfyui-krea-vram-auto", + "ver": "HEAD" + }, + "color": "#2a3a2a", + "bgcolor": "#3a5a3a" + }, + { + "id": 26, + "type": "KreaVRAMAutoSwitch", + "pos": [ + 3712.94, + 291.8344768792759 + ], + "size": [ + 605.94296875, + 170 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "index", + "type": "INT", + "slot_index": 0, + "links": [ + 28 + ] + } + ], + "title": "🔀 Upscale Auto-Switch — VRAM-based (10GB threshold, manual override via mode)", + "properties": { + "Node name for S&R": "KreaVRAMAutoSwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + }, + "cnr_id": "comfyui-krea-vram-auto", + "ver": "HEAD" + }, + "widgets_values": [ + "Auto", + 10, + "1", + "0" + ], + "color": "#2a3a2a", + "bgcolor": "#3a5a3a" + }, + { + "id": 48, + "type": "easy anythingIndexSwitch", + "pos": [ + 4044.7, + 745.3619315219402 + ], + "size": [ + 493.327734375, + 150 + ], + "flags": {}, + "order": 25, + "mode": 0, + "inputs": [ + { + "name": "value0", + "shape": 7, + "type": "*", + "link": 42 + }, + { + "name": "value1", + "shape": 7, + "type": "*", + "link": 43 + }, + { + "name": "index", + "type": "INT", + "widget": { + "name": "index" + }, + "link": 40 + }, + { + "name": "value2", + "type": "*", + "link": null + } + ], + "outputs": [ + { + "name": "value", + "type": "*", + "slot_index": 0, + "links": [ + 46 + ] + } + ], + "title": "🔀 Resolution Tier — 0=1536(low) | 1=2176(full) — index auto-driven", + "properties": { + "aux_id": "vjumpkung/ComfyUI-Easy-Use", + "ver": "e5ef628cd205cc7d6697f38d50ba909e784bd5eb", + "Node name for S&R": "easy anythingIndexSwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + 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kangaroo with a Mohawk",false,false,512,1024,1024,85332711769472,"krea2_turbo_style_ref_fused_int8_tensorwise_v1.safetensors","krea2_qwen3vl_4b_int8_tensorwise_v1.safetensors","qwen_image_vae.safetensors",false,"Aggressive"],"widgets_values_named":{"value_2":"A kangaroo with a Mohawk","value":false,"thinking_1":false,"max_length_1":512,"width_1":1024,"height_1":1024,"noise_seed":85332711769472,"unet_name_1":"krea2_turbo_style_ref_fused_int8_tensorwise_v1.safetensors","clip_name_1":"krea2_qwen3vl_4b_int8_tensorwise_v1.safetensors","vae_name_1":"qwen_image_vae.safetensors","disable_node":false,"Preset":"Aggressive"}},{"id":91,"type":"MarkdownNote","pos":[-1609.4692561336708,-312.5123938695759],"size":[395.4467153730425,352.8369882514186],"flags":{},"order":2,"mode":0,"inputs":[],"outputs":[],"title":"Required custom Nodes","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["\n### Qwen-VAE-W8A8\n[Comfy-registry Link](https://registry.comfy.org/publishers/puppet-vision/nodes/qwen-vae-triton)\n\n\nInstall with comfy cli:\n```bash\ncomfy node install qwen-vae-triton\n```\nElse search Comfy-manager for \"Qwen VAE Triton W8A8\".\n### Save Image with Metadata Universal\n\n[Comfy-registry Link](https://registry.comfy.org/nodes/SaveImageWithMetaDataUniversal)\n\nInstall with comfy cli:\n\n```bash\ncomfy node install SaveImageWithMetaDataUniversal\n```\nElse search Comfy-manager for \"mjsk\""],"widgets_values_named":{"text":"\n### Qwen-VAE-W8A8\n[Comfy-registry Link](https://registry.comfy.org/publishers/puppet-vision/nodes/qwen-vae-triton)\n\n\nInstall with comfy cli:\n```bash\ncomfy node install qwen-vae-triton\n```\nElse search Comfy-manager for \"Qwen VAE Triton W8A8\".\n### Save Image with Metadata Universal\n\n[Comfy-registry Link](https://registry.comfy.org/nodes/SaveImageWithMetaDataUniversal)\n\nInstall with comfy cli:\n\n```bash\ncomfy node install SaveImageWithMetaDataUniversal\n```\nElse search Comfy-manager for \"mjsk\""},"color":"#222","bgcolor":"#000"},{"id":48,"type":"MarkdownNote","pos":[-3070,-39.09090909090909],"size":[700,990],"flags":{},"order":3,"mode":0,"inputs":[],"outputs":[],"title":"Model Links","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n**diffusion_models**\n\n- [krea2_turbo_style_ref_fused_int8_tensorwise_v1.safetensors](https://huggingface.co/PuppetVision/krea-2-amd-rocm-optimized-comfy-triton/resolve/main/diffusion-models/krea2_turbo_style_ref_fused_int8_tensorwise_v1.safetensors)\n\n**text_encoders**\n\n- [krea2_qwen3vl_4b_int8_tensorwise_v1.safetensors](https://huggingface.co/PuppetVision/krea-2-amd-rocm-optimized-comfy-triton/resolve/main/text-encoders/krea2_qwen3vl_4b_int8_tensorwise_v1.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_style_ref_fused_int8_tensorwise_v1.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── krea2_qwen3vl_4b_int8_tensorwise_v1.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"],"widgets_values_named":{"text":"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n**diffusion_models**\n\n- [krea2_turbo_style_ref_fused_int8_tensorwise_v1.safetensors](https://huggingface.co/PuppetVision/krea-2-amd-rocm-optimized-comfy-triton/resolve/main/diffusion-models/krea2_turbo_style_ref_fused_int8_tensorwise_v1.safetensors)\n\n**text_encoders**\n\n- [krea2_qwen3vl_4b_int8_tensorwise_v1.safetensors](https://huggingface.co/PuppetVision/krea-2-amd-rocm-optimized-comfy-triton/resolve/main/text-encoders/krea2_qwen3vl_4b_int8_tensorwise_v1.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_style_ref_fused_int8_tensorwise_v1.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── krea2_qwen3vl_4b_int8_tensorwise_v1.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"},"color":"#222","bgcolor":"#000"},{"id":95,"type":"MarkdownNote","pos":[-1610.2272780073492,97.34801639803587],"size":[398.0689453125,262.76913931766944],"flags":{},"order":4,"mode":0,"inputs":[],"outputs":[],"title":"For more of my projects visit these links:","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["## - [GitHub](https://github.com/AllenCraigBarnard)\n## - [HuggingFace](https://huggingface.co/PuppetVision)\n## - [YouTube](https://www.youtube.com/@PuppetVisionAI)\n## - [Website](https://puppetvision.nl/)\n\n\n# Want to work with me?\n## I am open for full time employment in the Netherlands.\n## - [LinkedIn](https://www.linkedin.com/in/allen-b-3a35505a)\n"],"widgets_values_named":{"text":"## - [GitHub](https://github.com/AllenCraigBarnard)\n## - [HuggingFace](https://huggingface.co/PuppetVision)\n## - [YouTube](https://www.youtube.com/@PuppetVisionAI)\n## - [Website](https://puppetvision.nl/)\n\n\n# Want to work with me?\n## I am open for full time employment in the Netherlands.\n## - [LinkedIn](https://www.linkedin.com/in/allen-b-3a35505a)\n"},"color":"#332922","bgcolor":"#593930"},{"id":96,"type":"MarkdownNote","pos":[-1192.610413337928,-277.3582077755175],"size":[558.6872481387884,193.87063725155383],"flags":{},"order":5,"mode":0,"inputs":[],"outputs":[],"title":"Requirements for optimal performance on AMD ROCm","properties":{"ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["## 1 - Enable ROCm FlashAttention with AMD Triton copy and paste [this prompt](https://huggingface.co/PuppetVision/krea-2-amd-rocm-optimized-comfy-triton#copy-and-paste-implementation-instructions-for-chatgpt-or-other-flagship-llm) into ChatGPT for a AI guided installation.\n## 2 - You must use models from [this repo](https://huggingface.co/PuppetVision/krea-2-amd-rocm-optimized-comfy-triton) you can use LORAs to extend base model capabilities.\n## 3 - [Qwen VAE Triton custom node](https://github.com/AllenCraigBarnard/ComfyUI-Qwen-VAE-Triton) must be installed and placed between Load VAE and VAE decode nodes.\n\n## For more information on this project watch the [project release youtube video](https://youtu.be/fD-J2CYetIg). "],"widgets_values_named":{"text":"## 1 - Enable ROCm FlashAttention with AMD Triton copy and paste [this prompt](https://huggingface.co/PuppetVision/krea-2-amd-rocm-optimized-comfy-triton#copy-and-paste-implementation-instructions-for-chatgpt-or-other-flagship-llm) into ChatGPT for a AI guided installation.\n## 2 - You must use models from [this repo](https://huggingface.co/PuppetVision/krea-2-amd-rocm-optimized-comfy-triton) you can use LORAs to extend base model capabilities.\n## 3 - [Qwen VAE Triton custom node](https://github.com/AllenCraigBarnard/ComfyUI-Qwen-VAE-Triton) must be installed and placed between Load VAE and VAE decode nodes.\n\n## For more information on this project watch the [project release youtube video](https://youtu.be/fD-J2CYetIg). "},"color":"#332922","bgcolor":"#593930"}],"links":[[137,69,0,75,0,"IMAGE"],[175,30,0,84,0,"IMAGE"],[136,69,0,30,0,"IMAGE"],[158,71,0,30,7,"INT"],[159,71,1,30,8,"INT"]],"groups":[],"definitions":{"subgraphs":[{"id":"b0e5ca93-2731-42b9-8e0a-d28ea851ff81","version":1,"state":{"lastGroupId":10,"lastNodeId":96,"lastLinkId":185,"lastRerouteId":0},"revision":0,"config":{},"name":"Image Style Reference (Krea-2 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"size": [ + 820.7963209434793, + 645.0061903500759 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Settings", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# Upscaler / SeedVR2 Settings Guide\n\n**Total settings visible:** 20\n\n| Setting | What It Does | Recommended Value / Tip |\n|---|---|---|\n| `seed` | Random number for consistency | Match base image or leave auto. Same = identical output. |\n| `model` | The actual upscaler/SeedVR2 weight | Your chosen model file. Determines quality & style. |\n| `device` | GPU to use | `cuda0` (primary GPU). Fastest available hardware. |\n| `encode_tile_size` | How image is split into processing chunks | `128`. Standard size. Keeps memory stable. |\n| `decode_tile_size` | Output chunk size after upscaling | `128`. Matches encode tile for consistency. |\n| `cache_model` | Saves intermediate steps to disk | `false` (default). Turn `true` if you upscale the same image repeatedly. Uses more disk space. |\n| `blocks_to_swap` | VRAM vs CPU memory balance | `36` (default). Higher = stable/slower. Lower = fast but may crash if GPU runs out of memory. |\n| `swap_io_components` | Controls how data moves between GPU/CPU | `false`. Leave default unless you have specific hardware quirks. |\n| `attention_mode` | How model calculates focus/detail | `sdpa`. Fast & light. Use `full` only if quality suffers on complex images. |\n| `resolution` | Final output size (WxH) | `2048`. Standard high-res. Change to match your target size. |\n| `max_resolution` | Maximum allowed resolution for the model | `2048`. Usually matches `resolution`. Don't change unless you know what you're doing. |\n| `batch_size` | Images processed per step | `1`. Safest & highest quality. Increase only if you have lots of VRAM. |\n| `uniform_batch_size` | Forces equal batch sizes across tiles | `false`. Keeps processing predictable. Match `batch_size` if needed. |\n| `color_correction` | Fixes color shifts after upscale | `lab` (default). Automatically adjusts colors to match original. Turn off if it alters style. |\n| `temporal_overlap` | Overlap for video/frame sequences | `0`. Only matters for video upscaling. Leave default unless processing videos. |\n| `prepend_frames` | Frames added before generation | `0`. Used for video/animation workflows. Leave 0 for single images. |\n| `input_noise_scale` | Adds noise to input image | `0.0`. Helps fix artifacts or blur. Increase slightly if output looks too sharp/flat. |\n| `latent_noise_scale` | Adds noise during generation | `0.0`. Same as above, but applied in latent space. Use for creative variation or artifact fixing. |\n| `offload_device_2` | Second extra GPU slot for memory offloading | `cpu`. Only needed if model is too large for VRAM. Leave default unless you hit OOM errors. |\n| `enable_debug` | Shows detailed logs/errors | `true`. Helpful for troubleshooting crashes or errors. Slight speed hit. |\n\n**Bottom Line:** This is a stable, ready-to-run setup. Keep tile size at 128, batch at 1, attention on `sdpa`, and let the model handle it. Only tweak `blocks_to_swap` if you get OOM errors or quality drops. Leave advanced toggles alone unless you're doing specific video/noise workflows.\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 361, + "type": "MarkdownNote", + "pos": [ + -1412.6523151367367, + -2432.500626367479 + ], + "size": [ + 341.44628099173565, + 613.7190082644626 + ], + "flags": { + "pinned": true + }, + "order": 8, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "Genreal Infromation", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n\n## Model Links\n\nFor BF16 and NVFP4 variants, see [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2)\n\n**diffusion_models**\n\n- [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n\n**vae**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n**loras**\n\n- [krea2_darkbrush.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_darkbrush.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 loras/\n│ └── krea2_darkbrush.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n\n\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 366, + "type": "MarkdownNote", + "pos": [ + -1026.1346921495285, + -2376.382140724628 + ], + "size": [ + 797.9546844036008, + 256.17858823272434 + ], + "flags": { + "pinned": true + }, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model Panel", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# ComfyUI Model Panel Settings\n\n| Setting | What It Is | Your Choice | Why It Works |\n|---|---|---|---|\n| `diffusion_m` | Image generator | `krea2_turbo_fp8_scaled` | Optimized Krea2 model. Fast, high quality, strong detail. |\n| `clip_name` | Prompt reader | `Krea2-Engineer-V1-bf16` | Better at understanding complex prompts, style, and fine details. |\n| `vae_name` | Image compressor | `Wan2_1_VAE_fp32` | Compresses images to save memory & speed up rendering. Slight quality trade-off if overused. |\n| `weight_dtype` | Memory format | `default` | Auto-selects best format for your hardware. |\n| `type` | Model category | `krea2` | Enables Krea2-specific optimizations (better prompt following, higher quality). |\n| `device` | Hardware target | `default` | Auto-detects GPU/CPU. Change only if you have specific limits. |\n\n**Bottom Line:** This is a balanced, high-performance setup. The Krea2 diffusion model + Engineer clip encoder = sharp, detailed results. The Wan2 VAE keeps it fast & memory-efficient. Leave `weight_dtype` and `device` on default unless you hit hardware limits.\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 363, + "type": "MarkdownNote", + "pos": [ + -196.30834283475863, + -2552.9523624384537 + ], + "size": [ + 382.89390268595014, + 88 + ], + "flags": { + "pinned": true + }, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Blackwell Attention Fix Bypass", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "50x Nvidia series\nBypass=Right click Blackwell attention node. Select unpin from the list.\n Then left click on the gray button on the to the left of the Blackwell Attention node to expand it. Click pytorch. Select bypass.\n\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 365, + "type": "MarkdownNote", + "pos": [ + 1064.5208105743206, + -2630.096518265143 + ], + "size": [ + 773.9270202317475, + 335.4923433478556 + ], + "flags": { + "pinned": true + }, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Settings", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Prompts\n- **Positive (`text`)**: Your main idea. Describe subject, action, style. Example: `SuperMan cartoon fighting the Mulk and Batman, marvel comics style`.\n- **Negative**: What to avoid. Use commas. Example: `blurry, bad anatomy, text, watermark, low quality`.\n\n## Composition & Output\n- **Aspect Ratio (`aspect_ratio`)**: Width vs height. `16:9` = widescreen. Change to `4:5`, `3:2`, etc. for other shapes.\n- **Multiple**: Variations per run. `8` = 8 images at once.\n- **Batch Size**: Images processed per step. `1` = one image. Increase for speed (needs more RAM).\n\n## KSampler Generation Controls\n- **Seed**: Randomness control. Same seed = same image. Different = new variation.\n- **Sampler Name**: Algorithm used. `euler` is fast & stable.\n- **Steps**: Speed vs quality. More steps = better but slower. `18` is a good balance.\n- **Scheduler**: Controls step flow. `simple` is reliable.\n- **Denoise**: Removes noise. `1.0` = max clean. Lower = keeps more detail/artistic style.\n- **CFG (Confidence)**: Prompt strength. `1.0` = balanced. Higher = follows prompt strictly. Lower = more creative/freeform.\n- **Megapixels**: Upscale factor. `1.0` = original size. `2.0` = double resolution.\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 336, + "type": "SetNode", + "pos": [ + 2762.792213469814, + -2186.774445853313 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true + }, + "order": 34, + "mode": 0, + "inputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "link": 459 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": null + } + ], + "title": "Upscale ON", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "Upscale On", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Upscale On" + ], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 382, + "type": "GetNode", + "pos": [ + 3046.0282669695, + -2232.106143328659 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true + }, + "order": 12, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 568 + ] + } + ], + "title": "Get_Upscale On", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Upscale On" + ], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 226, + "type": "a23e7b18-8111-4c78-8e7a-cf5cddc994ee", + "pos": [ + 1068.8755576628978, + -2223.6365909164756 + ], + "size": [ + 526.3981808008232, + 839.0245509883327 + ], + "flags": { + "pinned": true + }, + "order": 18, + "mode": 0, + "inputs": [ + { + "name": "seed", + "type": "INT", + "widget": { + "name": "seed" + }, + "link": 374 + }, + { + "name": "filename_prefix", + "type": "STRING", + "link": 314 + } + ], + "outputs": [ + { + "label": "OUTPUT", + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 376, + 461 + ] + }, + { + "label": "FILE NAME", + "name": "STRING", + "type": "STRING", + "links": [ + 364 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.29.2", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "previewExposures": [ + { + "name": "$$canvas-image-preview", + "sourceNodeId": "221", + "sourcePreviewName": "$$canvas-image-preview" + }, + { + "name": "$$canvas-image-preview_1", + "sourceNodeId": "225", + "sourcePreviewName": "$$canvas-image-preview" + } + ] + }, + "widgets_values": [ + "Iconic profile picture of a futuristic android avatar masculine with a beard smoking a cigarr and glowing sunglasses, sleek chrome and matte black biomechanical plating, glowing cyan and magenta neural circuitry, sharp cinematic rim lighting, deep dark background with subtle bokeh, highly detailed 3D render, sharp focus, centered headshot portrait, 8k resolution, octane render style", + "\n", + 912033886164812, + "euler", + 18, + "simple", + 1, + 1, + "9:16 (Portrait Widescreen)", + 1, + 8, + 1 + ], + "color": "#222", + "bgcolor": "#000" + }, + { + "id": 368, + "type": "MarkdownNote", + "pos": [ + -1408.08084551548, + -1772.8595964993087 + ], + "size": [ + 329.6984412218899, + 560.8537501440729 + ], + "flags": { + "pinned": true + }, + "order": 13, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "Installing Missing Nodes", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# Install Missing Nodes in ComfyUI Portable\n\n## Why You Need the Manager\n- The portable version **does not auto-install** nodes.\n- You **must** use ComfyUI Manager to scan your system, download missing components, and install them safely.\n\n## Step 1: Install ComfyUI Manager (First-Time Only)\n1. Download the ZIP file from [GitHub](https://github.com/ltdrdata/ComfyUI-Manager) (Click **Code** ➔ **Download ZIP**).\n2. Unzip the file and move the extracted folder to: \n `ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\`\n3. Rename the folder to **`ComfyUI-Manager`**.\n4. **Restart ComfyUI** completely and **refresh your browser window** (`F5`) to load the Manager.\n\n## Step 2: Install Missing Nodes\n1. **Launch the Manager**: Start ComfyUI as usual, then click the **Manager** button in the menu bar.\n2. **Verify Settings**: \n - Set `Channel` to `default` or `stable`.\n3. **Install Missing Nodes**: Click **`Install Missing Custom Nodes`**. Wait for the scan to finish, then click **Install** on the missing items.\n4. **Restart & Refresh**: \n - Close and **Restart ComfyUI**.\n - **Refresh your browser window** (`F5`) or reload your workflow to see the new nodes appear.\n\n## Important: When to Restart vs. Refresh\n\n| What You Added | Restart Needed? | Action Required |\n| :--- | :---: | :--- |\n| **Custom Nodes** *(via Manager, `git clone`, or copy-pasting code into `custom_nodes`)* | **YES** | **Restart ComfyUI** + **Refresh Browser (`F5`)** |\n| **Models** *(LoRAs, Checkpoints, Diffusion Models, VAEs)* | **NO** | Click **`Refresh`** in the ComfyUI menu (or press `F5`) |\n\n## Quick Tips\n- Always use the Manager first. The main app cannot install nodes automatically.\n- Run `Install Missing Custom Nodes` after downloading or importing new workflows.\n- If stuck: ensure internet is connected, click **Refresh**, or restart ComfyUI.\n\n**Done.** Your missing nodes are installed and ready to use." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 364, + "type": "MarkdownNote", + "pos": [ + 468.8170400510436, + -1844.7024907924695 + ], + "size": [ + 254.65134108845223, + 424.47557485728737 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Lora Guide", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "LORA GUIDE - KREA 2\n\nWHAT IS A LORA? LoRA lets you teach an AI model new styles or subjects without retraining the whole model. Think of it as a recipe card added to a master chef who already knows everything. In Krea 2, you attach them to nodes so the model adapts its output.\n\nSTACKING LORAS You can stack as many LoRAs as you want on one node. Each adds another layer: Base style (e.g., cinematic) Subject focus (e.g., cats) Detail tweak (e.g., vintage grain) They don't overwrite each other. They layer.\n\nCAUTION Conflicting styles cause inconsistent results. Diminishing returns after 3-5 LoRAs. Performance slows down with more stacked. Rule of thumb: Start with 1-2. Add more only if you have a clear reason. If output looks off, remove the outlier.\n\nQUICK GUIDELINES DO: Label each LoRA clearly. Test incrementally (add one at a time). Keep a hierarchy: broad to specific. Use the same base model for all stacked LoRAs. DON'T: Mix LoRAs trained on different base models without testing. Assume more equals better quality. Forget to remove a LoRA when switching tasks.\n\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 338, + "type": "SetNode", + "pos": [ + 1736.7192405369863, + -2220.9226595141877 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 28, + "mode": 0, + "inputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "link": 461 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": null + } + ], + "title": "Set_Output Image", + "properties": { + "Node name for S&R": "SetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "previousName": "Output Image", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Output Image" + ], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 339, + "type": "GetNode", + "pos": [ + 2037.0333189929268, + -2210.1971567121864 + ], + "size": [ + 210, + 60 + ], + "flags": { + "collapsed": true, + "pinned": true + }, + "order": 15, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 462 + ] + } + ], + "title": "Get_Output Image", + "properties": { + "Node name for S&R": "GetNode", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Output Image" + ], + "color": "#2a363b", + "bgcolor": "#3f5159" + }, + { + "id": 386, + "type": "Fast Groups Bypasser (rgthree)", + "pos": [ + -989.7801726027277, + -1635.4400014590422 + ], + "size": [ + 310.3618601454199, + 442 + ], + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": [] + } + ], + "properties": { + "matchColors": "", + "matchTitle": "", + "showNav": true, + "showAllGraphs": true, + "sort": "position", + "customSortAlphabet": "", + "toggleRestriction": "default", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + } + } + }, + { + "id": 387, + "type": "MarkdownNote", + "pos": [ + 1084.1634975752218, + -1306.742146839425 + ], + "size": [ + 490.8152923631885, + 270.81928690521056 + ], + "flags": { + "pinned": true + }, + "order": 17, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "Resolution Cheat Sheet", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.8", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Here is the cheat sheet structured in **multi-column table format** (where aspect ratios are side-by-side columns) formatted in Markdown.\n\n### Landscape Formats\n\n| Megapixels | 1:1 | 16:9 | 21:9 | 4:3 | 3:2 | 5:4 |\n| :--- | :--- | :--- | :--- | :--- | :--- | :--- |\n| **0.2** | 448 x 448 | 608 x 352 | 704 x 288 | 512 x 384 | 576 x 384 | 512 x 416 |\n| **0.3** | 544 x 544 | 736 x 416 | 832 x 352 | 640 x 480 | 672 x 448 | 608 x 480 |\n| **0.4** | 640 x 640 | 864 x 480 | 960 x 416 | 736 x 544 | 768 x 512 | 704 x 576 |\n| **0.5** | 704 x 704 | 960 x 544 | 1088 x 480 | 832 x 608 | 864 x 576 | 800 x 640 |\n| **0.6** | 768 x 768 | 1056 x 608 | 1184 x 512 | 896 x 672 | 960 x 640 | 864 x 704 |\n| **0.7** | 832 x 832 | 1152 x 640 | 1280 x 544 | 960 x 736 | 1024 x 672 | 928 x 736 |\n| **0.8** | 896 x 896 | 1216 x 672 | 1376 x 576 | 1024 x 768 | 1088 x 736 | 1024 x 800 |\n| **0.9** | 960 x 960 | 1280 x 736 | 1440 x 608 | 1088 x 832 | 1152 x 768 | 1056 x 832 |\n| **1.0** | 1024 x 1024 | 1376 x 768 | 1568 x 672 | 1152 x 864 | 1248 x 832 | 1120 x 896 |\n| **1.2** | 1088 x 1088 | 1504 x 832 | 1696 x 736 | 1280 x 960 | 1344 x 896 | 1216 x 960 |\n| **1.5** | 1216 x 1216 | 1664 x 928 | 1888 x 800 | 1408 x 1056 | 1504 x 1024 | 1376 x 1088 |\n| **1.8** | 1344 x 1344 | 1824 x 1024 | 2048 x 864 | 1536 x 1152 | 1632 x 1088 | 1504 x 1216 |\n| **2.0** | 1408 x 1408 | 1920 x 1088 | 2176 x 928 | 1632 x 1216 | 1728 x 1152 | 1600 x 1280 |\n\n---\n\n### Portrait Formats\n\n| Megapixels | 1:1 | 9:16 | 9:21 | 3:4 | 2:3 | 4:5 |\n| :--- | :--- | :--- | :--- | :--- | :--- | :--- |\n| **0.2** | 448 x 448 | 352 x 608 | 288 x 704 | 384 x 512 | 384 x 576 | 416 x 512 |\n| **0.3** | 544 x 544 | 416 x 736 | 352 x 832 | 480 x 640 | 448 x 672 | 480 x 608 |\n| **0.4** | 640 x 640 | 480 x 864 | 416 x 960 | 544 x 736 | 512 x 768 | 576 x 704 |\n| **0.5** | 704 x 704 | 544 x 960 | 480 x 1088 | 608 x 832 | 576 x 864 | 640 x 800 |\n| **0.6** | 768 x 768 | 608 x 1056 | 512 x 1184 | 672 x 896 | 640 x 960 | 704 x 864 |\n| **0.7** | 832 x 832 | 640 x 1152 | 544 x 1280 | 736 x 960 | 672 x 1024 | 736 x 928 |\n| **0.8** | 896 x 896 | 672 x 1216 | 576 x 1376 | 768 x 1024 | 736 x 1088 | 800 x 1024 |\n| **0.9** | 960 x 960 | 736 x 1280 | 608 x 1440 | 832 x 1088 | 768 x 1152 | 832 x 1056 |\n| **1.0** | 1024 x 1024 | 768 x 1376 | 672 x 1568 | 864 x 1152 | 832 x 1248 | 896 x 1120 |\n| **1.2** | 1088 x 1088 | 832 x 1504 | 736 x 1728 | 960 x 1280 | 896 x 1344 | 960 x 1216 |\n| **1.5** | 1216 x 1216 | 928 x 1664 | 800 x 1888 | 1056 x 1408 | 1024 x 1504 | 1088 x 1376 |\n| **1.8** | 1344 x 1344 | 1024 x 1824 | 864 x 2048 | 1152 x 1536 | 1088 x 1632 | 1216 x 1504 |\n| **2.0** | 1408 x 1408 | 1088 x 1920 | 928 x 2176 | 1216 x 1632 | 1152 x 1728 | 1280 x 1600 |\n\n---\n\n" + ], + "color": "#432", + "bgcolor": "#653" + } + ], + "links": [ + [ + 314, + 232, + 0, + 226, + 1, + "STRING" + ], + [ + 353, + 252, + 0, + 254, + 0, + "CLIP" + ], + [ + 354, + 252, + 1, + 255, + 0, + "MODEL" + ], + [ + 355, + 252, + 2, + 256, + 0, + "STRING" + ], + [ + 356, + 252, + 3, + 257, + 0, + "VAE" + ], + [ + 357, + 258, + 0, + 217, + 0, + "MODEL" + ], + [ + 358, + 259, + 0, + 217, + 1, + "CLIP" + ], + [ + 359, + 217, + 0, + 260, + 0, + "MODEL" + ], + [ + 360, + 217, + 1, + 261, + 0, + "CLIP" + ], + [ + 362, + 265, + 0, + 262, + 1, + "STRING" + ], + [ + 364, + 226, + 1, + 264, + 0, + "STRING" + ], + [ + 374, + 272, + 0, + 226, + 0, + "INT" + ], + [ + 376, + 226, + 0, + 263, + 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+ "version": "7.5.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "OPTIONAL second reference - the PERSON for insert-into-scene edits\n('place this person at the table').\n\nThis group ships DISABLED (purple = bypassed) - the workflow is a\nplain single-image editor until you need it.\nEnable: right-click this group's title bar -> toggle Bypass off.\nOrder rule: scene = image 1 (group 1), person = image 2 (here)." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 123, + "type": "ImageResizeKJv2", + "pos": [ + 1289.4117708936583, + -14.310868979647031 + ], + "size": [ + 270, + 336 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 96 + }, + { + "name": "mask", + "shape": 7, + "type": "MASK", + "link": null + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 98, + 100, + 102, + 103, + 107, + 124 + ] + }, + { + "name": "width", + "type": "INT", + "links": null + }, + 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0.6303940863129054, + "offset": [ + -178.72825101623036, + 690.9121065355899 + ] + }, + "VHS_latentpreview": true, + "VHS_latentpreviewrate": 0, + "VHS_MetadataImage": true, + "VHS_KeepIntermediate": true, + "ue_links": [], + "links_added_by_ue": [] + }, + "version": 0.4 +} \ No newline at end of file diff --git a/krea2_photography_styles_easyuse_v5.json b/krea2_photography_styles_easyuse_v5.json new file mode 100644 index 0000000000000000000000000000000000000000..cc3a772e6765895b83aa0c26a92491f41aa7553f --- /dev/null +++ b/krea2_photography_styles_easyuse_v5.json @@ -0,0 +1,296 @@ +[ + { + "name": "Photography | Amateur", + "name_cn": "Photography | Amateur", + "prompt": "casual amateur snapshot photography, photographed spontaneously rather than carefully staged, ordinary everyday perspective, imperfect framing and timing, natural unposed body language and expressions, realistic exposure variations, modest optical quality and authentic photographic imperfections, the image should feel like a real personal photograph rather than a polished commercial shoot, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Professional", + "name_cn": "Photography | Professional", + "prompt": "professionally produced photography with deliberate composition, carefully chosen camera position and focal length, controlled exposure and accurate focus, intentional subject separation, refined tonal balance and realistic lens rendering, subtle post-processing while preserving natural photographic detail, polished but believable professional image quality, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Candid", + "name_cn": "Photography | Candid", + "prompt": "authentic candid photography captured in the middle of an unscripted moment, subject unaware or only loosely aware of the camera, natural posture, spontaneous gesture and genuine expression, imperfect timing and framing, realistic available light and documentary-style observation, the photograph should feel captured rather than posed, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Analog", + "name_cn": "Photography | Analog", + "prompt": "authentic analog film photography, captured on real photographic film with organic grain, subtle halation around bright highlights, gentle highlight roll-off, slightly compressed dynamic range and nuanced tonal transitions, natural optical softness and small exposure imperfections, tactile photochemical texture rather than digitally simulated sharpness, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Cinematic", + "name_cn": "Photography | Cinematic", + "prompt": "cinematic still photography with intentional visual storytelling, carefully considered camera placement and negative space, natural depth and subject separation, motivated lighting that appears to come from the environment, controlled highlights and rich shadow detail, cohesive filmic color grading with subtle tonal separation, polished yet photographic rather than artificial, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Brassaï Night", + "name_cn": "Photography | Brassaï Night", + "prompt": "1930s-style nocturnal documentary photography inspired by Parisian street photography, photographed after dark with available street lamps and practical light sources, deep blacks, luminous pools of light, wet pavement reflections, atmospheric haze and strong tonal separation, intimate human moments within the night-time city, gritty realistic low-light texture and restrained monochrome-to-warm tonal character, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Art", + "name_cn": "Photography | Art", + "prompt": "fine-art photographic interpretation with deliberate composition and visual intent, carefully balanced shapes, negative space and tonal relationships, expressive use of light and shadow, subtle depth and atmosphere, nuanced color or monochrome rendering, restrained post-processing and a considered gallery-photography sensibility while retaining believable photographic texture, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Kodachrome", + "name_cn": "Photography | Kodachrome", + "prompt": "classic Kodachrome-inspired color photography, photographed on richly saturated color reversal film with distinctive warm reds, yellows and natural greens, crisp fine-grained detail, strong but controlled contrast, slightly restrained dynamic range and clean slide-film color separation, authentic mid-to-late 20th-century documentary and travel-photography character, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Cross-Processed Film", + "name_cn": "Photography | Cross-Processed Film", + "prompt": "cross-processed analog film photography with intentionally shifted color chemistry, unusual cyan, green or magenta color bias, punchy contrast and exaggerated separation between highlights and shadows, visible grain and slightly unstable tonal rendering, authentic chemical-processing imperfections that give the photograph an experimental editorial character, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Bleach Bypass", + "name_cn": "Photography | Bleach Bypass", + "prompt": "bleach-bypass film aesthetic with reduced color saturation and a pronounced silver-rich monochrome component, strong contrast, dense blacks, bright metallic highlights and gritty fine-grain texture, restrained skin color and a cool industrial tonal character, cinematic photochemical realism with controlled highlight detail, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | HDR", + "name_cn": "Photography | HDR", + "prompt": "high dynamic range photography created from multiple exposures and carefully blended to preserve information across bright highlights and deep shadows, unusually broad tonal latitude, crisp local detail and visible texture throughout the frame, balanced exposure without crushed blacks or blown highlights, realistic modern HDR processing rather than an exaggerated artificial HDR effect, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Lightroom Finish", + "name_cn": "Photography | Lightroom Finish", + "prompt": "professionally post-processed digital photograph with a refined Lightroom-style finishing workflow, carefully balanced white balance and exposure, controlled highlight recovery and shadow depth, subtle contrast and clarity adjustments, selective tonal shaping and restrained color grading, natural skin and material texture preserved, polished editorial finish without looking overprocessed, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Film Noir 1", + "name_cn": "Photography | Film Noir 1", + "prompt": "classic 1940s film noir still photography, hard directional key light cutting across the scene, venetian-blind shadows and sharply defined pools of illumination, deep black negative space, isolated highlights, strong chiaroscuro and dense monochrome contrast, slightly gritty 35mm film texture, dramatic low camera angles and a tense hardboiled atmosphere, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Film Noir 2", + "name_cn": "Photography | Film Noir 2", + "prompt": "dark late-noir photographic atmosphere with dramatic chiaroscuro, hard-edged pools of light surrounded by near-black shadows, stark monochrome tonal separation, wet reflective streets and faint atmospheric haze, slightly tilted or unconventional framing, strong foreground and background depth, gritty 35mm grain and claustrophobic psychological tension, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Hitchcockian", + "name_cn": "Photography | Hitchcockian", + "prompt": "Hitchcockian suspense photography with precise controlled framing and visual storytelling, carefully positioned camera creating a sense of observation or voyeurism, foreground elements that partially conceal or reveal information, deliberate depth of field, restrained high-contrast lighting, elegant but unsettling composition and psychological tension without overt theatrical exaggeration, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Cyberpunk", + "name_cn": "Photography | Cyberpunk", + "prompt": "grounded cyberpunk urban photography at night, photographed with saturated neon signage and colored practical lights reflecting from wet streets and glass, deep shadows, humid atmospheric haze, mixed color temperatures, realistic lens bloom and subtle flare around bright sources, dramatic perspective and dense metropolitan detail, futuristic yet believable photographic realism, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Commercial Beauty", + "name_cn": "Photography | Commercial Beauty", + "prompt": "high-end commercial beauty photography produced in a professional studio, carefully controlled key and fill lighting creating smooth dimensional facial modeling, clean catchlights, accurate skin texture with restrained retouching, precise focus and premium lens rendering, controlled color separation and elegant tonal transitions, luxurious advertising and magazine campaign finish while retaining realistic human detail, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Instagram Glamour", + "name_cn": "Photography | Instagram Glamour", + "prompt": "contemporary social-media glamour photography with an intentionally polished but believable appearance, flattering soft directional light, confident natural posing, carefully chosen camera angle and focal length, clean skin with visible realistic texture, subtle retouching, controlled background separation and warm or neutral color grading, aspirational lifestyle imagery that still looks like a real photograph, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | GQ Editorial", + "name_cn": "Photography | GQ Editorial", + "prompt": "premium menswear editorial photography with sophisticated magazine styling, deliberate camera placement and strong but elegant directional key light, controlled shadows, crisp fabric and material detail, natural skin texture, confident relaxed posture and refined environmental composition, restrained retouching and sophisticated neutral-to-rich color grading, polished editorial realism, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Photography | Supermodel", + "name_cn": "Photography | Supermodel", + "prompt": "high-fashion editorial photography featuring commanding model presence, carefully directed posture and elegant body lines, professional studio or fashion-location lighting with sculpted highlights and controlled shadows, premium lens rendering, precise focus and refined skin texture, sophisticated color grading and restrained retouching, dramatic magazine-cover quality without losing photographic realism, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, 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physical-photograph character, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Camera | Front-Facing Smartphone", + "name_cn": "Camera | Front-Facing Smartphone", + "prompt": "photographed with a front-facing smartphone camera at arm's length, handheld slightly wide-angle perspective, subtle facial perspective distortion and close-camera geometry, automatic exposure and computational sharpening, realistic indoor or ambient light, casual framing and small imperfections typical of an actual selfie rather than a professional camera, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Era | 1970s", + "name_cn": "Era | 1970s", + "prompt": "photographic aesthetic of the 1970s, captured on consumer or professional 35mm color film with period-appropriate lenses, visible organic grain, softer optical rendering and modest dynamic range, warm earthy colors with slightly faded reds and yellows, natural available light or simple on-camera flash, occasional exposure inconsistency and imperfect focus, authentic family snapshot, street and documentary character from the era, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Era | 1980s", + "name_cn": "Era | 1980s", + "prompt": "photographic aesthetic of the 1980s, captured on 35mm color film with period consumer or professional cameras, noticeable grain, stronger contrast and richer saturated colors, warm skin tones, direct on-camera flash and practical indoor lighting, slightly softer lenses with occasional flare and imperfect exposure, authentic family snapshot, nightlife, fashion and editorial character of the decade, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, 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perspective and natural depth separation, balanced framing that feels intentionally photographed rather than cropped from a larger image, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Composition | Full Body", + "name_cn": "Composition | Full Body", + "prompt": "full-body photographic composition with the entire subject visible from head to feet, camera placed at a natural perspective with enough distance to avoid excessive wide-angle distortion, intentional space around the figure, feet fully inside the frame and balanced environmental context, realistic proportions and professional photographic framing, {prompt}", + "negative_prompt": "signature, watermark, bad anatomy, deformed, cropped, worst quality, low quality, lowres, JPEG artifacts" + }, + { + "name": "Composition | Environmental Portrait", + "name_cn": "Composition | Environmental Portrait", + "prompt": 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Blocking Other LoRAs

\nIt is possible to have Detailer LoRAs act upon the detailer and also block other LoRAs from acting upon the detailer by enabling the LoRA Blocker node. You may wish to do this if you find your LoRAs are turning hands into macaroni alfredo or faces are coming out wrong. If you find that your LoRA set is interfering in some way, enable the blocker, which will put the checkpoint base model at the top of the switching priority, and it will be used. Thanks to Lonecatone23 for helping me out with this switching method!" + ], + "widgets_values_named": { + "text": "

Blocking Other LoRAs

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Thanks to Lonecatone23 for helping me out with this switching method!" + }, + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 559, + "type": "LCAnySwitch", + "pos": [ + 940, + 1120 + ], + "size": [ + 330, + 120 + ], + "flags": { + "collapsed": true + }, + "order": 113, + "mode": 0, + "inputs": [ + { + "label": "MODEL", + "name": "any_01", + "shape": 7, + "type": "MODEL", + "link": 374255 + }, + { + "label": "MODEL", + "name": "any_02", + "shape": 7, + "type": "MODEL", + "link": 398259 + } + ], + "outputs": [ + { + "label": "MODEL", + "name": "MODEL", + "type": "MODEL", + "links": [ + 374252 + ] + } + ], + "properties": { + "cnr_id": "ComfyUI_LC123_nodes", + "ver": "79b81758ac54ba8f9b46ecf7682902e87dc26684", + "Node name for S&R": "LCAnySwitch", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": { + "any_01": true, + "any_02": true, + "any_03": true, + "any_04": true, + "any_05": true, + "any_06": true, + "any_07": true, + "any_08": true, 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3 - Post Processing

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6 - Size Adjust

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"#353" + }, + { + "id": 1073, + "type": "LoadImage", + "pos": [ + -2600, + 950 + ], + "size": [ + 880, + 930 + ], + "flags": { + "collapsed": false + }, + "order": 80, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 398334, + 398336, + 398337, + 398338 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": [] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.35.1", + "Node name for S&R": "LoadImage", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.8" + }, + "image": "clipspace-painted-masked-1790502023029.png [input]" + }, + "widgets_values": [ + "clipspace-painted-masked-1790502023029.png [input]", + "image" + ], + "widgets_values_named": { + "image": "clipspace-painted-masked-1790502023029.png [input]", + "upload": "image" + }, + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 222, + "type": "MarkdownNote", + "pos": [ + -110, + 1690 + ], + "size": [ + 400, + 210 + ], + "flags": { + "collapsed": false + }, + "order": 81, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Upscaler 1.2", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.6.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "# Upscaler Nodes\n\nThe Upscaler is triggered before the detailer, and is designed to hopefully increase the overall quality of the image without introducing hallucinations. It can be particularly useful for negating moiree artifacts that appear in the first pass of Krea 2.\n\nFeel free to play with the upscaler KSampler's settings. Certain styles and LoRAs may not work with the defaults of LCM/Beta.\n\nThe upscaler's seed is tied to the main generation, freezing your main seed will allow the model to complete the step while skipping past the actual cranking of math, if no prior inputs have changed since the last generation.\n\nA color matching step is included in Upscaler 1.2 which negates the way that some checkpoints undergo a slight yellowing during upscaling.\n" + ], + "widgets_values_named": { + "text": "# Upscaler Nodes\n\nThe Upscaler is triggered before the detailer, and is designed to hopefully increase the overall quality of the image without introducing hallucinations. It can be particularly useful for negating moiree artifacts that appear in the first pass of Krea 2.\n\nFeel free to play with the upscaler KSampler's settings. Certain styles and LoRAs may not work with the defaults of LCM/Beta.\n\nThe upscaler's seed is tied to the main generation, freezing your main seed will allow the model to complete the step while skipping past the actual cranking of math, if no prior inputs have changed since the last generation.\n\nA color matching step is included in Upscaler 1.2 which negates the way that some checkpoints undergo a slight yellowing during upscaling.\n" + }, + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 81, + "type": "PrimitiveFloat", + "pos": [ + 1190, + 2510 + ], + "size": [ + 210, + 60 + ], + "flags": {}, + "order": 82, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "FLOAT", + "type": "FLOAT", + "links": [ + 201, + 218, + 260 + ] + } + ], + "title": "Guide Size", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.75", + "Node name for S&R": "PrimitiveFloat", + "ue_properties": { + "widget_ue_connectable": { + "value": true + }, + "version": "7.6.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 1024 + ], + "widgets_values_named": { + "value": 1024 + }, + "color": "#232", + "bgcolor": "#353", + "shape": 1 + }, + { + "id": 124, + "type": "UltralyticsDetectorProvider", + "pos": [ + 1210, + 2230 + ], + "size": [ + 350, + 140 + ], + "flags": {}, + "order": 83, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "BBOX_DETECTOR", + "type": "BBOX_DETECTOR", + "links": [ + 105 + ] + }, + { + "name": "SEGM_DETECTOR", + "type": "SEGM_DETECTOR", + "links": [] + } + ], + "properties": { + "cnr_id": "comfyui-impact-subpack", + "ver": "1.3.2", + "Node name for S&R": "UltralyticsDetectorProvider", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.4.1", + "input_ue_unconnectable": {} + }, + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65 + }, + "widgets_values": [ + "bbox/face_yolov8n_v2.pt" + ], + "widgets_values_named": { + "model_name": "bbox/face_yolov8n_v2.pt" + }, + "color": "#223", + "bgcolor": "#335", + "shape": "box" + }, + { + "id": 101, + "type": "BboxDetectorSEGS", + "pos": [ + 1300, + 2420 + ], + "size": [ + 290, + 230 + ], + "flags": { + "collapsed": true + }, + "order": 162, + "mode": 0, + "inputs": [ + { + "name": "bbox_detector", + "type": "BBOX_DETECTOR", + "link": 105 + }, + { + "name": "image", + "type": "IMAGE", + "link": 398400 + }, + { + "name": "detailer_hook", + "shape": 7, + "type": "DETAILER_HOOK", + "link": null + } + ], + "outputs": [ + { + "name": "SEGS", + "type": "SEGS", + "links": [ + 97 + ] + } + ], + "properties": { + "cnr_id": "comfyui-impact-pack", + "ver": "8.28.2", + "Node name for S&R": "BboxDetectorSEGS", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.6.2" + } + }, + "widgets_values": [ + 0.5, + 10, + 3, + 10, + "all" + ], + "widgets_values_named": { + "threshold": 0.5, + "dilation": 10, + "crop_factor": 3, + "drop_size": 10, + "labels": "all" + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 146, + "type": "DetailerForEach", + "pos": [ + 1740, + 2970 + ], + "size": [ + 400, + 680 + ], + "flags": { + "collapsed": true + }, + "order": 166, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 380365 + }, + { + "name": "segs", + "type": "SEGS", + "link": 213 + }, + { + "name": "model", + "type": "MODEL", + "link": 398863 + }, + { + "name": "clip", + "type": "CLIP", + "link": 35588 + }, + { + "name": "vae", + "type": "VAE", + "link": null + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 216 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": null + }, + { + "name": "detailer_hook", + "shape": 7, + "type": "DETAILER_HOOK", + "link": null + }, + { + "name": "scheduler_func_opt", + "shape": 7, + "type": "SCHEDULER_FUNC", + "link": null + }, + { + "name": "guide_size", + "type": "FLOAT", + "widget": { + "name": "guide_size" + }, + "link": 218 + }, + { + "name": "max_size", + "type": "FLOAT", + "widget": { + "name": "max_size" + }, + "link": 219 + }, + { + "name": "seed", + "type": "INT", + "widget": { + "name": "seed" + }, + "link": 375920 + }, + { + "name": "steps", + "type": "INT", + "widget": { + "name": "steps" + }, + "link": 221 + }, + { + "name": "cfg", + "type": "FLOAT", + "widget": { + "name": "cfg" + }, + "link": 239986 + }, + { + "name": "denoise", + "type": "FLOAT", + "widget": { + "name": "denoise" + }, + "link": 222 + }, + { + "name": "feather", + "type": "INT", + "widget": { + "name": "feather" + }, + "link": 223 + }, + { + "name": "noise_mask_feather", + "shape": 7, + "type": "INT", + "widget": { + "name": "noise_mask_feather" + }, + "link": 322981 + }, + { + "name": "tiled_encode", + "shape": 7, + "type": "BOOLEAN", + "widget": { + "name": "tiled_encode" + }, + "link": 224 + }, + { + "name": "tiled_decode", + "shape": 7, + "type": "BOOLEAN", + "widget": { + "name": "tiled_decode" + }, + "link": 225 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 380366 + ] + } + ], + "title": "DetailerDebug (SEGS)", + "properties": { + "cnr_id": "comfyui-impact-pack", + "ver": "8.28.2", + "Node name for S&R": "DetailerForEach", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.6.2" + } + }, + "widgets_values": [ + 512, + true, + 1024, + 21771207931554, + "fixed", + 20, + 2, + "euler_ancestral", + "simple", + 0.5, + 5, + true, + true, + "", + 1, + false, + 20, + false, + false + ], + "widgets_values_named": { + "guide_size": 512, + "guide_size_for": true, + "max_size": 1024, + "seed": 21771207931554, + "control_after_generate": "fixed", + "steps": 20, + "cfg": 2, + "sampler_name": "euler_ancestral", + "scheduler": "simple", + "denoise": 0.5, + "feather": 5, + "noise_mask": true, + "force_inpaint": true, + "wildcard": "", + "cycle": 1, + "inpaint_model": false, + "noise_mask_feather": 20, + "tiled_encode": false, + "tiled_decode": false + }, + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 215, + "type": "MarkdownNote", + "pos": [ + -3350, + 1060 + ], + "size": [ + 680, + 860 + ], + "flags": { + "collapsed": false + }, + "order": 84, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "QuickStart Guide", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.6.2", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "

Krea Face Fixer Guide

\n\nThis is an Image2Image workflow that takes an existing image and can upscale and attempt to change some or all faces, at your choice, to your specifications. This workflow is based off of my generative workflows but it is strictly image to image in function with a specific utilization focus: changing segs boxes to match your targets.\n\nUse cases for this workflow: Training data refinement and error correction, parody, aesthetic refinement, and more.\n\nIt is possible to change a whole head in some cases, but this can be difficult when hair and other variables are taken into account. Use the SEGS picker options to expand the size of the working area at your own discretion.\n\n

Order of Operations:

\n\n- Input/Output: Overall workflow settings and options\n- HiresFix\n- 1st Pass Image Saver\n- Upscaler\n- Upscaled Image Saver\n- Eyes Detailer\n- Face Detailer\n- Detailer Image Saver\n\nAny one of these steps can be disabled.\n\n

Seed

\n\nThis workflow is designed to be run with a frozen seed. You may change the seed but it's only necessary when random results were not favorable and you wish to try the same settings but with a different seed.\n\n

Step 1:

\n Add your image to the image loader node on the right.\n\n

Step 2:

\nYour image may need to be changed slightly before it goes to the detailer. For instance, you may wish to upscale it. You may also wish to add some context to the CLIP with your positive prompt so that the upscaler does a better job reflecting your intent in its outputs. So take a look at the generation settings in the Input/Output group. A detailed prompt is unnecessary and a waste of time. Remember to use a preset that matches your image (default is no quality presets.)\n\n

Step 3:

\nAdjust detailer primitives and other settings. Specifically, pay attention to the individualized LoRA loaders and to the detailer prompts. Using a generic prompt for a box like \"eyes\" or \"face\" tends to repair the face without changing the expression, but this may depend on the overall context in the generation, so use the prompt to make changes you desire. For a guide on how to configure the detailer array and the SEGS picker, consult my article on the topic:\nhttps://civitai.red/articles/26885/using-the-bbox-sorter-mgherders-detailer-array\n\nIf you want to use the detailer but do not want to use a particular lora loader, set it to pass through with ctrl-B (after enabling the detailer).\n\nAt this time there is no functionality in this workflow by which a face can be isolated using the mask feature.\n\nIt is necessary to understand this material in order to use SEGS picker maths to isolate the face you want to fix. It's almost self-explanatory but not quite. Also asking an LLM about how the SEGS picker node works may yield answers but since I already wrote a guide that's specific to this application, you could go give that guide a thumbs up.\n\nThere are three individual detailers in each array that can be prompted, rather than 5, and each one can have an individual LoRA assigned to them. Expand this if you desire, but I find 3 is adequate for nearly all my use cases because one detailer can be assigned multiple boxes.\n\n**By default, the pickers are set up to handle boxes from LEFT TO RIGHT.** The last SEGS picker set to catch up to 10 bboxes. This is arbitrary, you can make adjustments as needed. Refer to my guide.\n\n----------\n\n

Krea 面部修复指南

\n这是一个图生图(Image2Image)工作流:导入已有图片,按需放大,并按你的设定尝试替换其中部分或全部人脸。它基于我的生成类工作流,但功能上严格限定为图生图,核心用途是:把 SEGS 框改成对准你指定的目标。\n适用场景:训练数据精修与纠错、二创/恶搞、审美精修等。\n有时可以整颗头一起换,但头发等变量一多就会很难。可用 SEGS picker 自行扩大处理范围。\n

操作顺序:

\n- Input/Output:整体工作流设置与选项\n- HiresFix\n- 1st Pass Image Saver(第一轮出图保存)\n- Upscaler(放大器)\n- Upscaled Image Saver(放大后保存)\n- Eyes Detailer(眼睛细化)\n- Face Detailer(面部细化)\n- Detailer Image Saver(细化后保存)\n以上任一步都可以关闭。\n

Seed(种子)

\n本工作流按固定种子运行。你可以改种子,但通常只有随机结果不理想、想用同一套设置换一种子再试时才需要改。\n

第 1 步:

\n把图片加到右侧的 image loader 节点。\n

第 2 步:

\n送进 detailer 之前,可能需要先微调原图。例如先放大,或在正向提示词里给 CLIP 补一点上下文,让放大器更贴近你的意图。请查看 Input/Output 组里的生成设置。提示词不必写得很细,细写是浪费时间。记得选用与图片匹配的预设(默认不加画质预设)。\n

第 3 步:

\n调整 detailer 的 primitives 和其他参数。重点看各路独立的 LoRA 加载器,以及 detailer 提示词。对框使用诸如 “eyes”“face” 这类泛提示,往往能修脸而不改表情,但这取决于整次生成的上下文,所以要用提示词写出你真正想改的地方。关于如何配置 detailer array 和 SEGS picker,请看我写的这篇:\nhttps://civitai.red/articles/26885/using-the-bbox-sorter-mgherders-detailer-array\n若要用 detailer、但不想用某个 LoRA 加载器,在启用 detailer 后用 Ctrl-B 把它设为直通(pass through)。\n目前此工作流无法用 mask 功能单独抠出一张脸。\n必须先搞懂上述内容,才能用 SEGS picker 的计算把要修的那张脸框出来。说起来差不多能看懂,但又没那么直观。也可以问大模型 SEGS picker 节点怎么用,不过我已经写过针对本用途的指南,去给那篇点个赞就行。\n每个 array 里可单独写提示的 detailer 是 3 个,不是 5 个,且每个都可以挂独立 LoRA。需要的话可以自行加槽,但我几乎所有用途用 3 个就够,因为一个 detailer 可以对应多个框。\n**默认情况下,picker 按从左到右处理框。** 最后一组 SEGS picker 最多接 10 个 bbox。这是随意设的,可按需改。具体见我的指南。\n" + ], + "widgets_values_named": { + "text": "

Krea Face Fixer Guide

\n\nThis is an Image2Image workflow that takes an existing image and can upscale and attempt to change some or all faces, at your choice, to your specifications. This workflow is based off of my generative workflows but it is strictly image to image in function with a specific utilization focus: changing segs boxes to match your targets.\n\nUse cases for this workflow: Training data refinement and error correction, parody, aesthetic refinement, and more.\n\nIt is possible to change a whole head in some cases, but this can be difficult when hair and other variables are taken into account. Use the SEGS picker options to expand the size of the working area at your own discretion.\n\n

Order of Operations:

\n\n- Input/Output: Overall workflow settings and options\n- HiresFix\n- 1st Pass Image Saver\n- Upscaler\n- Upscaled Image Saver\n- Eyes Detailer\n- Face Detailer\n- Detailer Image Saver\n\nAny one of these steps can be disabled.\n\n

Seed

\n\nThis workflow is designed to be run with a frozen seed. You may change the seed but it's only necessary when random results were not favorable and you wish to try the same settings but with a different seed.\n\n

Step 1:

\n Add your image to the image loader node on the right.\n\n

Step 2:

\nYour image may need to be changed slightly before it goes to the detailer. For instance, you may wish to upscale it. You may also wish to add some context to the CLIP with your positive prompt so that the upscaler does a better job reflecting your intent in its outputs. So take a look at the generation settings in the Input/Output group. A detailed prompt is unnecessary and a waste of time. Remember to use a preset that matches your image (default is no quality presets.)\n\n

Step 3:

\nAdjust detailer primitives and other settings. Specifically, pay attention to the individualized LoRA loaders and to the detailer prompts. Using a generic prompt for a box like \"eyes\" or \"face\" tends to repair the face without changing the expression, but this may depend on the overall context in the generation, so use the prompt to make changes you desire. For a guide on how to configure the detailer array and the SEGS picker, consult my article on the topic:\nhttps://civitai.red/articles/26885/using-the-bbox-sorter-mgherders-detailer-array\n\nIf you want to use the detailer but do not want to use a particular lora loader, set it to pass through with ctrl-B (after enabling the detailer).\n\nAt this time there is no functionality in this workflow by which a face can be isolated using the mask feature.\n\nIt is necessary to understand this material in order to use SEGS picker maths to isolate the face you want to fix. It's almost self-explanatory but not quite. Also asking an LLM about how the SEGS picker node works may yield answers but since I already wrote a guide that's specific to this application, you could go give that guide a thumbs up.\n\nThere are three individual detailers in each array that can be prompted, rather than 5, and each one can have an individual LoRA assigned to them. Expand this if you desire, but I find 3 is adequate for nearly all my use cases because one detailer can be assigned multiple boxes.\n\n**By default, the pickers are set up to handle boxes from LEFT TO RIGHT.** The last SEGS picker set to catch up to 10 bboxes. This is arbitrary, you can make adjustments as needed. Refer to my guide.\n\n----------\n\n

Krea 面部修复指南

\n这是一个图生图(Image2Image)工作流:导入已有图片,按需放大,并按你的设定尝试替换其中部分或全部人脸。它基于我的生成类工作流,但功能上严格限定为图生图,核心用途是:把 SEGS 框改成对准你指定的目标。\n适用场景:训练数据精修与纠错、二创/恶搞、审美精修等。\n有时可以整颗头一起换,但头发等变量一多就会很难。可用 SEGS picker 自行扩大处理范围。\n

操作顺序:

\n- Input/Output:整体工作流设置与选项\n- HiresFix\n- 1st Pass Image Saver(第一轮出图保存)\n- Upscaler(放大器)\n- Upscaled Image Saver(放大后保存)\n- Eyes Detailer(眼睛细化)\n- Face Detailer(面部细化)\n- Detailer Image Saver(细化后保存)\n以上任一步都可以关闭。\n

Seed(种子)

\n本工作流按固定种子运行。你可以改种子,但通常只有随机结果不理想、想用同一套设置换一种子再试时才需要改。\n

第 1 步:

\n把图片加到右侧的 image loader 节点。\n

第 2 步:

\n送进 detailer 之前,可能需要先微调原图。例如先放大,或在正向提示词里给 CLIP 补一点上下文,让放大器更贴近你的意图。请查看 Input/Output 组里的生成设置。提示词不必写得很细,细写是浪费时间。记得选用与图片匹配的预设(默认不加画质预设)。\n

第 3 步:

\n调整 detailer 的 primitives 和其他参数。重点看各路独立的 LoRA 加载器,以及 detailer 提示词。对框使用诸如 “eyes”“face” 这类泛提示,往往能修脸而不改表情,但这取决于整次生成的上下文,所以要用提示词写出你真正想改的地方。关于如何配置 detailer array 和 SEGS picker,请看我写的这篇:\nhttps://civitai.red/articles/26885/using-the-bbox-sorter-mgherders-detailer-array\n若要用 detailer、但不想用某个 LoRA 加载器,在启用 detailer 后用 Ctrl-B 把它设为直通(pass through)。\n目前此工作流无法用 mask 功能单独抠出一张脸。\n必须先搞懂上述内容,才能用 SEGS picker 的计算把要修的那张脸框出来。说起来差不多能看懂,但又没那么直观。也可以问大模型 SEGS picker 节点怎么用,不过我已经写过针对本用途的指南,去给那篇点个赞就行。\n每个 array 里可单独写提示的 detailer 是 3 个,不是 5 个,且每个都可以挂独立 LoRA。需要的话可以自行加槽,但我几乎所有用途用 3 个就够,因为一个 detailer 可以对应多个框。\n**默认情况下,picker 按从左到右处理框。** 最后一组 SEGS picker 最多接 10 个 bbox。这是随意设的,可按需改。具体见我的指南。\n" + }, + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 295, + "type": "Fast Groups Muter (rgthree)", + "pos": [ + -1680, + 1060 + ], + "size": [ + 440, + 160 + ], + "flags": {}, + "order": 85, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + 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