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"title": "Note: Size Settings Reference", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "| megapixels | Aspect | Output (multiple=32) |\n|---|---|---|\n| 0.2 | 16:9 | 608 x 352 |\n| 0.3 | 16:9 | 736 x 416 |\n| 0.4 | 16:9 | 864 x 480 |\n| 0.5 | 16:9 | 960 x 544 |\n| 0.6 | 16:9 | 1056 x 608 |\n| 0.7 | 16:9 | 1152 x 640 |\n| 0.8 | 16:9 | 1216 x 672 |\n| 0.9 | 16:9 | 1280 x 736 |\n| 0.98 | 16:9 | 1344 x 768 |\n| 1.0 | 16:9 | 1376 x 768 |\n| 1.2 | 16:9 | 1504 x 832 |\n| 1.5 | 16:9 | 1664 x 928 |\n| 1.8 | 16:9 | 1824 x 1024 |\n| 2.0 | 16:9 | 1920 x 1088 |\n" ], "color": "#222", "bgcolor": "#000" }, { "id": 399, "type": "MarkdownNote", "pos": [ 919.1490181671077, 5896.205867703917 ], "size": [ 780, 1280 ], "flags": {}, "order": 37, "mode": 0, "inputs": [], "outputs": [], "title": "Note: About LTX-2.5", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "# LTX-2.5\n\nLTX-2.5 is Lightricks' open video generation model : fast, local-first, and built for production. Run it locally, fine-tune it for your own use case, or integrate it into your pipeline.\n\n**Key highlights:**\n\n- **Pixel Diffusion** : keyframes-first generation that builds every scene on a grid of high-fidelity keyframes for industry-leading pixel quality\n- **Diffusion Video Decoder** : sharper faces, legible text, fewer smears in fast motion\n- **Native multishot** : one generation yields multiple connected shots holding character, environment, lighting, voice, and style across cuts\n- **Custom Gemma 4 12B text encoder** : retains multiple subjects, actions, lighting, detail, and camera direction across complex prompts\n- **Dedicated Prompt Enhancer** : a lightweight model that expands short prompts into rich cinematic instructions at near-zero extra compute\n- **Auto Duration** : predicts the right clip length from the described action before diffusion begins\n- **Better distilled model** : carries far more quality, prompt adherence, and motion into a smaller, faster variant\n- Carried over from LTX-2.3: native 4K, synchronized audio-video\n\nOfficial model & files: https://huggingface.co/Lightricks/LTX-2.5\n## What this workflow does\n\nThis **Image-to-Video** workflow animates a first frame into a video. Load a starting image, describe the motion in the prompt, and the model continues the scene while holding character, lighting, and style : with synchronized audio.\n\n## Subgraph parameters\n\nThe **Image to Video (LTX-2.5)** node is a subgraph. Click the **Enter subgraph** button at the bottom of the node to open its internal graph, where you can inspect and fine-tune every step of the pipeline (conditioning, sampler, CFG guider, VAE decode, and more).\n\n| Parameter | What it does |\n|---|---|\n| first_frame | Starting image that the video continues from (load your own image in **Load First Frame**) |\n| prompt | Text prompt describing the motion, scene, lighting, camera, and style |\n| prompt_enhance | Toggle the built-in Prompt Enhancer: expands short prompts into rich cinematic instructions at near-zero extra compute |\n| duration | Clip length in seconds (Auto Duration can predict it from the action) |\n| width / height | Output resolution in pixels (e.g. 1280×720) |\n| seed | Random seed : set a fixed value to reproduce the same result |\n| frame_rate | Frames per second |\n| unet_name | Main model: LTX-2.5 distilled transformer (ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors) |\n| video_vae | Video VAE used for decoding (ltx-2.5-video-vae-bf16.safetensors) |\n| audio_vae | Audio VAE that produces synchronized audio (ltx-2.5-audio-vae-bf16.safetensors) |\n| clip_name | Text encoder: custom Gemma 4 12B with projection (gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors) |\n| upscale_model | Latent upscaler applied before decoding for higher-fidelity output |\n| prompt_enhance_model | Model checkpoint used by the Prompt Enhancer |\n\n## How to use\n\n1. Download the models listed in **Note: Model Links** and place them in ComfyUI's `models/` folder\n2. Replace the image in **Load First Frame** with your own starting frame\n3. Write a prompt describing the motion, optionally toggle **prompt_enhance** for short prompts\n4. Set **duration** / **width** / **height** / **frame_rate** (defaults work well) and hit **Queue**\n5. To dive deeper, click **Enter subgraph** at the bottom of the main node : every internal step (conditioning, sampler, CFG, VAE decode) can be edited there\n" ], "color": "#222", "bgcolor": "#000" }, { "id": 404, "type": "MarkdownNote", "pos": [ 548.2497258746398, 5903.552579998201 ], "size": [ 340, 90 ], "flags": {}, "order": 38, "mode": 0, "inputs": [], "outputs": [], "title": "Note: Model Links", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "Before you download all the models, please make sure you have granted access to [LTX-2.5](https://huggingface.co/Lightricks/LTX-2.5) first." ], "color": "#432", "bgcolor": "#653" }, { "id": 557, "type": "GetNode", "pos": [ 10739.231391515716, 6372.702742449556 ], "size": [ 211.84591996354084, 58 ], "flags": { "collapsed": true }, "order": 39, "mode": 0, "inputs": [], "outputs": [ { "name": "AUDIO", "type": "AUDIO", "links": [ 1166 ] } ], "title": "Get_guide_audio", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "guide_audio" ] }, { "id": 601, "type": "GetNode", "pos": [ 10741.414767400292, 6413.386121934272 ], "size": [ 210, 60 ], "flags": { "collapsed": true }, "order": 40, "mode": 0, "inputs": [], "outputs": [ { "name": "STRING", "type": "STRING", "links": [ 1184 ] } ], "title": "Get_auto_prompt", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "auto_prompt" ] }, { "id": 600, "type": "AddLabel", "pos": [ 10953.08689894687, 6385.360914095338 ], "size": [ 270, 270 ], "flags": { "collapsed": true }, "order": 143, "mode": 0, "inputs": [ { "name": "image", "type": "IMAGE", "link": 1183 }, { "name": "caption", "shape": 7, "type": "STRING", "link": null }, { "name": "text", "type": "STRING", "widget": { "name": "text" }, "link": 1184 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 1185 ] } ], "properties": { "cnr_id": "comfyui-kjnodes", "ver": "60cd6bc1870db94c6eeb05fbe455147a8e91c4e9", "Node name for S&R": "AddLabel", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.5.1" } }, "widgets_values": [ 10, 2, 128, 14, "white", "black", "FreeMono.ttf", "Ref", "down" ] }, { "id": 535, "type": "SetNode", "pos": [ 2881.558436963562, 7015.245436651297 ], "size": [ 210, 60 ], "flags": { "collapsed": true }, "order": 99, "mode": 0, "inputs": [ { "name": "CLIP", "type": "CLIP", "link": 1077 } ], "outputs": [ { "name": "CLIP", "type": "CLIP", "links": [] } ], "title": "Set_text_encoder", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "text_encoder", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "text_encoder" ], "color": "#432", "bgcolor": "#653" }, { "id": 453, "type": "VAELoader", "pos": [ 2617.957673381619, 6362.899407876965 ], "size": [ 410, 70 ], "flags": {}, "order": 41, "mode": 0, "inputs": [], "outputs": [ { "name": "VAE", "type": "VAE", "links": [ 1044 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.29.0", "Node name for S&R": "VAELoader", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} }, "models": [ { "name": "ltx-2.5-video-vae-bf16.safetensors", "url": "https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-video-vae-bf16.safetensors", "directory": "vae" } ] }, "widgets_values": [ "ltx-2.5-video-vae-bf16.safetensors" ] }, { "id": 501, "type": "SetNode", "pos": [ 2892.303378154155, 6470.315561511197 ], "size": [ 210, 60 ], "flags": { "collapsed": true }, "order": 96, "mode": 0, "inputs": [ { "name": "VAE", "type": "VAE", "link": 1044 } ], "outputs": [ { "name": "VAE", "type": "VAE", "links": null } ], "title": "Set_video_vae", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "video_vae", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "video_vae" ], "color": "#322", "bgcolor": "#533" }, { "id": 427, "type": "VAELoader", "pos": [ 2629.534261271976, 6519.600097344617 ], "size": [ 400, 90 ], "flags": {}, "order": 42, "mode": 0, "inputs": [], "outputs": [ { "name": "VAE", "type": "VAE", "links": [ 1048 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.29.0", "Node name for S&R": "VAELoader", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} }, "models": [ { "name": "ltx-2.5-audio-vae-bf16.safetensors", "url": "https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-audio-vae-bf16.safetensors", "directory": "vae" } ] }, 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"LATENT_UPSCALE_MODEL", "links": [] } ], "title": "Set_latent_upscale_model", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "latent_upscale_model", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "latent_upscale_model" ] }, { "id": 446, "type": "CLIPLoader", "pos": [ 2609.0841023465937, 6855.903089852423 ], "size": [ 416.94127371498007, 116.19145521571954 ], "flags": { "collapsed": false }, "order": 44, "mode": 0, "inputs": [], "outputs": [ { "name": "CLIP", "type": "CLIP", "links": [ 1077 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.29.0", "Node name for S&R": "CLIPLoader", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} }, "models": [ { "name": "gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors", "url": "https://huggingface.co/Lightricks/LTX-2.5/resolve/main/text_encoders/gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors", "directory": "text_encoders" } ] }, "widgets_values": [ "gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors", "ltxv", "default" ] }, { "id": 607, "type": "CLIPLoader", "pos": [ 2614.0841023465937, 7041.821705479103 ], "size": [ 416.94127371498007, 116.19145521571954 ], "flags": { "collapsed": false }, "order": 45, "mode": 0, "inputs": [], "outputs": [ { "name": "CLIP", "type": "CLIP", "links": [ 1191 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.29.0", "Node name for S&R": "CLIPLoader", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} }, "models": [ { "name": "gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors", "url": "https://huggingface.co/Lightricks/LTX-2.5/resolve/main/text_encoders/gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors", "directory": "text_encoders" } ] }, "widgets_values": [ "qwen3-vl-4b-heretic_int8_dynamic_convrot.safetensors", "ltxv", "default" ] }, { "id": 401, "type": "MarkdownNote", "pos": [ 340.5945775249642, 6049.903379080857 ], "size": [ 550, 880 ], "flags": {}, "order": 46, "mode": 0, "inputs": [], "outputs": [], "title": "Note: Model Links", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\nUpdate Your ComfyUI and BFS nodes\n\n## Model Links\n\n**Input Asset** \n\n- [neon_cyborg_portrait.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/neon_cyborg_portrait.png) — required workflow input (`input/neon_cyborg_portrait.png`)\n\n**text_encoders**\n\n- [qwen3-vl-4b-heretic_int8_dynamic_convrot.safetensor](https://huggingface.co/ethanfel/Qwen3-VL-4B-Heretic-ComfyUI-ConvRot-INT8/resolve/main/qwen3-vl-4b-heretic_int8_dynamic_convrot.safetensors) (Auto Prompt)\n- [gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/text_encoders/gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors) (required)\n\n**diffusion_models**\n\n- [ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/diffusion_models/ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors)\n\n**vae**\n\n- [ltx-2.5-video-vae-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-video-vae-bf16.safetensors)\n- [ltx-2.5-audio-vae-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-audio-vae-bf16.safetensors)\n\n**latent_upscale_models**\n\n- [ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/latent_upscale_models/ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ ├── gemma4_e2b_it_bf16.safetensors\n│ │ └── gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors\n│ ├── 📂 vae/\n│ │ ├── ltx-2.5-video-vae-bf16.safetensors\n│ │ └── ltx-2.5-audio-vae-bf16.safetensors\n│ └── 📂 latent_upscale_models/\n│ └── ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.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": 608, "type": "SetNode", "pos": [ 2855.288552781171, 7198.930489122093 ], "size": [ 210, 50 ], "flags": { "collapsed": true }, "order": 100, "mode": 0, "inputs": [ { "name": "CLIP", "type": "CLIP", "link": 1191 } ], "outputs": [ { "name": "CLIP", "type": "CLIP", "links": [] } ], "title": "Set_text_encoder_prompt", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "text_encoder_prompt", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "text_encoder_prompt" ], "color": "#432", "bgcolor": "#653" }, { "id": 475, "type": "VAEDecodeTiled", "pos": [ 7803.151137274464, 6533.861188627053 ], "size": [ 335.839078897111, 197.9694880401048 ], "flags": {}, "order": 165, "mode": 0, "inputs": [ { "name": "samples", "type": "LATENT", "link": 952 }, { "name": "vae", "type": "VAE", "link": 1052 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 1141 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.14.1", "Node name for S&R": "VAEDecodeTiled", "ue_properties": { "widget_ue_connectable": {}, "version": "7.7", "input_ue_unconnectable": {} }, "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ 768, 64, 4096, 32 ] }, { "id": 582, "type": "GetNode", "pos": [ 8586.621311816858, 6292.117859469468 ], "size": [ 230.1783203125, 58.883218422058235 ], "flags": { "collapsed": true 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"SomethingToString", "pos": [ 4305.9313190199455, 7016.325832793805 ], "size": [ 270, 82 ], "flags": { "collapsed": true }, "order": 130, "mode": 0, "inputs": [ { "name": "input", "type": "*", "link": 1247 } ], "outputs": [ { "name": "STRING", "type": "STRING", "links": [ 1249 ] } ], "properties": { "cnr_id": "comfyui-kjnodes", "ver": "60cd6bc1870db94c6eeb05fbe455147a8e91c4e9", "Node name for S&R": "SomethingToString", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.5.1" } }, "widgets_values": [ "", "" ] }, { "id": 552, "type": "SetNode", "pos": [ 4291.942050446538, 6913.70543044265 ], "size": [ 210, 60 ], "flags": { "collapsed": true }, "order": 136, "mode": 0, "inputs": [ { "name": "INT", "type": "INT", "link": 1107 } ], "outputs": [ { "name": "INT", "type": "INT", "links": [] } ], "title": "Set_resized_guide_width", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "resized_guide_width", 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"type": "GetNode", "pos": [ 4213.376903432804, 6461.811499791177 ], "size": [ 210, 60 ], "flags": { "collapsed": true }, "order": 50, "mode": 0, "inputs": [], "outputs": [ { "name": "INT", "type": "INT", "links": [ 1057, 1058 ] } ], "title": "Get_frame_rate", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "frame_rate" ], "color": "#1b4669", "bgcolor": "#29699c" }, { "id": 548, "type": "SetNode", "pos": [ 4393.632184029075, 6490.9168406193285 ], "size": [ 210, 60 ], "flags": { "collapsed": true }, "order": 126, "mode": 0, "inputs": [ { "name": "INT", "type": "INT", "link": 1102 } ], "outputs": [ { "name": "INT", "type": "INT", "links": [] } ], "title": "Set_length", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "length", "ue_properties": { "widget_ue_connectable": {}, "version": 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"widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.5.1" } }, "widgets_values": [ "You rewrite a video-editing request into the exact instruction format this LoRA was trained on.\nOutput the final prompt ONLY — no explanation, no preamble, no quotes around it.\nAlways output English, whatever language the request is written in.\n\nEvery hard number in this document is measured from the 2750 CoinVE captions (6829 instructions)\nthat Edit Anything V3 actually trained on.\n\n================================================================================\nTRIGGER — MANDATORY\n===================\n\nEvery output begins with exactly:\n\nedit_anything:\n\nNever omit it, translate it, alter it, put anything before it, or write it twice.\n\n================================================================================\nANALYZE THE VIDEO FRAMES FIRST — MANDATORY\n==========================================\n\nBefore writing the prompt, analyze the available video frames carefully.\n\nUse the frames to understand the actual scene, including:\n\n* what subjects and objects are visible\n* their appearance, clothing, colors, materials, shapes, and distinguishing details\n* where each subject or object is positioned in the frame\n* the background and environment\n* spatial relationships between objects\n* which person or object the user's request refers to\n* where a new object should naturally be placed\n* whether an edit is a simple substitution or a complex scene modification\n* whether removing an existing element first would make the requested edit clearer\n\nThe final prompt must be grounded in what is actually visible in the frames. This matters more\nthan it sounds: 63% of the trained Add instructions end with a spatial anchor tied to a real\nelement of the scene (\"to the left of the man\", \"on the desk on the right side of the frame\").\nFrame analysis is what lets you write that anchor.\n\nWhen the request is brief or vague, use visible information to make the instruction specific.\n\"put a Viking helmet on the man\" becomes \"the man in the center of the frame\", \"the seated man\non the left\", \"the man wearing a black jacket\".\n\nDo not mention the analysis in the output. Never write \"based on the frames\", \"as seen in the\nvideo\", \"according to the image\", \"the frames show\". Do not invent details that are not visible\nin the frames or stated by the user.\n\n================================================================================\nHOW MANY INSTRUCTIONS — EXACTLY THE EDITS THAT WERE ASKED FOR\n============================================================\n\nWrite one instruction per edit the user actually requested. One edit, one instruction. Three\nedits, three instructions. NEVER invent an edit to pad the prompt: an unrequested change to the\nsky, the background, the lighting or anything else is a defect, even a subtle one.\n\nFor context, the training captions carried 2 instructions 62% of the time, 3 in 29%, 4 in 7% and\n5 in 2%. That is the shape of the data, not a quota to fill — it reflects that CoinVE requests\nusually bundled several edits. What matters for a good result is that each instruction you do\nwrite follows the trained form: right verb, 10-20 words, one object, anchored in the frames.\n\nWhen the user's request names several edits, keep them in one prompt rather than splitting into\nseparate runs — that is the natural multi-instruction case and the one the model saw most.\n\n================================================================================\nINSTRUCTION FORMAT\n==================\n\nEach sentence starts with one of these four verbs — and only these four. The percentage is that\nverb's share of the 6829 trained instructions:\n\n Replace with . 50%\n Add a . 26%\n Remove . 18%\n Restyle into