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V0.1, trained with this prompt:
666asslick, two people, person on the left is licking the butthole of another person, indoor scene, soft lighting, close-up shot, slight camera movement, realistic
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Futa Anna on the right is kneeling while bending forward. Girl Bella on the left frame is licking Anna's anus with passion. Bella's tongue is licking over the anus hole, she is kissing the butthole, her tongue is visibly inserted into the anus hole, her tongue is distributing clear fluid on Anna's Butthole. Bella's tongue slides in and out of Anna's gaping Butthole. Bella makes wet licking and sucking noises, is not moaning, no music. Anna is enjoying, she is heavily breathing and moans sometimes.", + "negativePrompt": "still image, bad quality, subtitles, text, watermark, overlay effects, pc game, console game, video game, cartoon, childish, ugly, text, blur, logo, wordmark, static, low quality, noise, white noise, bleep, censoring, censor, bleeping, beep, beeping, newscast, interview, podcast, non-english, foreign language, russian, chinese, japanese, mutant, horror, 70's, film grain, cinematic, comedy, stand-up, noisy background sounds, unrealistic hands, bad drawn hands, bad drawn genitals, noisy devices, fluids appearing out of nowhere, fluid on face, stump penis, missing glans, crying, clipping bodyparts, merging bodys, looking down, bad drawn penis, bad fluid dynamics, unrealistic fluid dynamics, separated bodyparts, hand stays on head, hand is clipping through head, penis doesnt fit inside mouth, closing mouth while penis inside, cum fluid appears before cumshot, changing appearence of penis, screaming children, yelling, fluid dripping from his crotch, fluid dripping from his butt, fluid is dripping from the back of his testicles, bad fluid dynamics, bad physics, penis is not fully inside throat on every stroke, more than 1 testicles, extra balls, nipples on testicles, penis colides with face, objects on Ben's Butt, unrealistic anatomy, unrealistic genitals, unrealistic testicles, penis clipping through head, spanking, ugly, monster, horror, alien, tentacle, unrealistic tongue, bad drawn anus, tongue attached to anus, warping tongue, monster tongue, tentacle tongue, tongue turns into a penis, warping anus, distorted anus, morphing vagina, more than 2 persons, double tongue, bouncing testicles, moving penis,\n" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8e3a4048-1175-4245-be7d-265403ab7e13/original=true/126513694.mp4", + "nsfwLevel": 16, + "width": 704, + "height": 1280, + "hash": "U6Gu8l8{E14:0fE29u^*00_2wb%L56NG~pa0", + "type": "video", + "metadata": { + "hash": "U6Gu8l8{E14:0fE29u^*00_2wb%L56NG~pa0", + "size": 7319088, + "audio": true, + "width": 704, + "height": 1280, + "duration": 10.042 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "stunning highly detailed cinematic 10-second real video, realistic oral sex, anilingus, 2 girls, clearly separated.\n\n666asslick, static camera. Girl Anna on the right is kneeling while bending forward. Girl Bella on the left frame is licking Anna's anus with passion while grabbing one of Anna's buttcheeks firmly. Bella's tongue is licking over the anus hole, she is kissing the butthole, her tongue is visibly inserted into the anus hole, her tongue is distributing clear fluid on Anna's Butthole. Bella's tongue slides in and out of Anna's gaping Butthole. Bella makes wet licking and sucking noises, is not moaning, no music. 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Girl Anna on the right is kneeling while bending forward. Girl Bella on the left frame is licking Anna's anus with passion while grabbing one of Anna's buttcheeks firmly. Bella's tongue is licking over the anus hole, she is kissing the butthole, her tongue is visibly inserted into the anus hole, her tongue is distributing clear fluid on Anna's Butthole. Bella's tongue slides in and out of Anna's gaping Butthole. Bella makes wet licking and sucking noises, is not moaning, no music. 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Girl Anna on the right is kneeling while bending forward. Girl Bella on the left frame is licking Anna's anus with passion while grabbing one of Anna's buttcheeks firmly. Bella's tongue is licking over the anus hole, she is kissing the butthole, her tongue is visibly inserted into the anus hole, her tongue is distributing clear fluid on Anna's Butthole. Bella's tongue slides in and out of Anna's gaping Butthole. Bella makes wet licking and sucking noises, is not moaning, no music. Anna is enjoying, she is heavily breathing and moans sometimes.", + "negativePrompt": "still image, bad quality, subtitles, text, watermark, overlay effects, pc game, console game, video game, cartoon, childish, ugly, text, blur, logo, wordmark, static, low quality, noise, white noise, bleep, censoring, censor, bleeping, beep, beeping, newscast, interview, podcast, non-english, foreign language, russian, chinese, japanese, mutant, horror, 70's, film grain, cinematic, comedy, stand-up, noisy background sounds, unrealistic hands, bad drawn hands, bad drawn genitals, noisy devices, fluids appearing out of nowhere, fluid on face, stump penis, missing glans, crying, clipping bodyparts, merging bodys, looking down, bad drawn penis, bad fluid dynamics, unrealistic fluid dynamics, separated bodyparts, hand stays on head, hand is clipping through head, penis doesnt fit inside mouth, closing mouth while penis inside, cum fluid appears before cumshot, changing appearence of penis, screaming children, yelling, fluid dripping from his crotch, fluid dripping from his butt, fluid is dripping from the back of his testicles, bad fluid dynamics, bad physics, penis is not fully inside throat on every stroke, more than 1 testicles, extra balls, nipples on testicles, penis colides with face, objects on Ben's Butt, unrealistic anatomy, unrealistic genitals, unrealistic testicles, penis clipping through head, spanking, ugly, monster, horror, alien, tentacle, unrealistic tongue, bad drawn anus, tongue attached to anus, warping tongue, monster tongue, tentacle tongue, tongue turns into a penis, warping anus, distorted anus, morphing vagina, more than 2 persons, double tongue,\n" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ba5b69a2-c223-4cb6-82a5-da16adeb88c8/original=true/126513593.mp4", + "nsfwLevel": 16, + "width": 704, + "height": 1280, + "hash": "U3G8cf~W00.800~VDNI:0000_3xY0Lbw_3$i", + "type": "video", + "metadata": { + "hash": "U3G8cf~W00.800~VDNI:0000_3xY0Lbw_3$i", + "size": 6461655, + "audio": true, + "width": 704, + "height": 1280, + "duration": 10.042 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "stunning highly detailed cinematic 10-second real video, realistic oral sex, anilingus, 2 girls, clearly separated.\n\n666asslick, static camera. Girl Anna on the right is kneeling while bending forward. Girl Bella on the left frame is licking Anna's anus with passion while grabbing one of Anna's buttcheeks firmly. Bella's tongue is licking over the anus hole, she is kissing the butthole, her tongue is visibly inserted into the anus hole, her tongue is distributing clear fluid on Anna's Butthole. Bella's tongue slides in and out of Anna's gaping Butthole. Bella makes wet licking and sucking noises, is not moaning, no music. Anna is enjoying, she is heavily breathing and moans sometimes.", + "negativePrompt": "still image, bad quality, subtitles, text, watermark, overlay effects, pc game, console game, video game, cartoon, childish, ugly, text, blur, logo, wordmark, static, low quality, noise, white noise, bleep, censoring, censor, bleeping, beep, beeping, newscast, interview, podcast, non-english, foreign language, russian, chinese, japanese, mutant, horror, 70's, film grain, cinematic, comedy, stand-up, noisy background sounds, unrealistic hands, bad drawn hands, bad drawn genitals, noisy devices, fluids appearing out of nowhere, fluid on face, stump penis, missing glans, crying, clipping bodyparts, merging bodys, looking down, bad drawn penis, bad fluid dynamics, unrealistic fluid dynamics, separated bodyparts, hand stays on head, hand is clipping through head, penis doesnt fit inside mouth, closing mouth while penis inside, cum fluid appears before cumshot, changing appearence of penis, screaming children, yelling, fluid dripping from his crotch, fluid dripping from his butt, fluid is dripping from the back of his testicles, bad fluid dynamics, bad physics, penis is not fully inside throat on every stroke, more than 1 testicles, extra balls, nipples on testicles, penis colides with face, objects on Ben's Butt, unrealistic anatomy, unrealistic genitals, unrealistic testicles, penis clipping through head, spanking, ugly, monster, horror, alien, tentacle, unrealistic tongue, bad drawn anus, tongue attached to anus, warping tongue, monster tongue, tentacle tongue, tongue turns into a penis, warping anus, distorted anus, morphing vagina, more than 2 persons, double tongue,\n" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/990be9e5-0758-4785-82a0-9799ad2f872e/original=true/126513595.mp4", + "nsfwLevel": 16, + "width": 1280, + "height": 704, + "hash": "UJHLVk~Vx]#*?v?vrpxu%M-os8X8%2VrShbw", + "type": "video", + "metadata": { + "hash": "UJHLVk~Vx]#*?v?vrpxu%M-os8X8%2VrShbw", + "size": 5985469, + "audio": true, + "width": 1280, + "height": 704, + "duration": 10.042 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "stunning highly detailed cinematic 10-second real video, realistic oral sex, anilingus, 2 girls, clearly separated.\n\n666asslick, static camera. 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Anna is enjoying, she is heavily breathing and moans sometimes.", + "negativePrompt": "still image, bad quality, subtitles, text, watermark, overlay effects, pc game, console game, video game, cartoon, childish, ugly, text, blur, logo, wordmark, static, low quality, noise, white noise, bleep, censoring, censor, bleeping, beep, beeping, newscast, interview, podcast, non-english, foreign language, russian, chinese, japanese, mutant, horror, 70's, film grain, cinematic, comedy, stand-up, noisy background sounds, unrealistic hands, bad drawn hands, bad drawn genitals, noisy devices, fluids appearing out of nowhere, fluid on face, stump penis, missing glans, crying, clipping bodyparts, merging bodys, looking down, bad drawn penis, bad fluid dynamics, unrealistic fluid dynamics, separated bodyparts, hand stays on head, hand is clipping through head, penis doesnt fit inside mouth, closing mouth while penis inside, cum fluid appears before cumshot, changing appearence of penis, screaming children, yelling, fluid dripping from his crotch, fluid dripping from his butt, fluid is dripping from the back of his testicles, bad fluid dynamics, bad physics, penis is not fully inside throat on every stroke, more than 1 testicles, extra balls, nipples on testicles, penis colides with face, objects on Ben's Butt, unrealistic anatomy, unrealistic genitals, unrealistic testicles, penis clipping through head, spanking, ugly, monster, horror, alien, tentacle, unrealistic tongue, bad drawn anus, tongue attached to anus, warping tongue, monster tongue, tentacle tongue, tongue turns into a penis, warping anus, distorted anus, morphing vagina, more than 2 persons, double tongue,\n" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/897b8a78-f174-4fb5-99ac-27e89e8cdcca/original=true/126513616.mp4", + "nsfwLevel": 16, + "width": 1280, + "height": 704, + "hash": "UUI;@u%ME1Z~.T.8MwWqpxtRt7flxutRkCjZ", + "type": "video", + "metadata": { + "hash": "UUI;@u%ME1Z~.T.8MwWqpxtRt7flxutRkCjZ", + "size": 5845587, + "audio": true, + "width": 1280, + "height": 704, + "duration": 10.042 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "stunning highly detailed cinematic 10-second real video, realistic oral sex, anilingus, 2 girls, clearly separated.\n\n666asslick, static camera. 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\"Epic stuff or lewd stuff... make your choice!\"
Its still not on the same level as the WAN 2.2 version. LTX is very stubborn. T_T
So its still a WIP!
The main problem is the inconsistency of the results and LTX has many little configurations, both in prompting and setup, that can really affect the results. Testing it properly is kinda of a pain. =/
But its still possible to make alot of fun stuff.
There is a lot to explain so lets get started!
ComfyUI Workflow Settings
All videos on all Showcases used this setup:
->Workflow: Smooth Workflow LTX (I2V/T2V) on its default settings (Check the workflow Showcase for more examples);
->Model: ltx-2.3-22b-dev_transformer_only_fp8_scaled;
->Lora: ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16 set to 0.5
With SmoothMix LTX set with 0.8 or 1.0 weight.
Trigger Words
The Loras use the following trigger words:
'SmoothMixAnime' and 'Anime Style' - Will make the video have the style of SmoothMix Illustrious/NoobAI/Illustrious2+NoobAI, I recommend using both;
'SmoothMixRealism' and 'Realistic Style' - Will make the video have the style of SmoothMix Realism, I recommend using both.
Img2Vid and Txt2Vid
Its primary usage is for T2V. LTX 2.3 seems to have a tendency towards realism, causing some facial distortions on semi-realism/anime images on animations. Try using this Lora with the 'SmoothMixAnime' with weight of at least 0.5 - it might help aliviate that. For T2V I recommend using at least 0.8 weight for most cases.
Limitations
So far, LTX is proving to be very annoying for trainning SmoothMix Animation. Using the same dataset with same prompts did not work at all - so making a completely new dataset of videos was necessary. After a few tests this Lora was the best result so far - but its still not as 'energetic' as the Lora for WAN 2.2. The main issue so far is the inconsistency:
Bouncing and movement: The bouncing is nowhere near as it should be (NOOOOOO!!!! T_T). You can still prompt it and get a great results but it doesn't happen everytime. Movement can still be very stiff.
Uncensoring: The uncensoring - overall - works but sometimes can make some weird stuff. (NOOOOOO!!! T_T). So its still not where I want it but it should work well most of the times. I added the male dataset used on Futanaris and Males Lora for WAN 2.2 to uncensor the guys as well but it can only create... huh... eldritch tentacle abominations on the guys (NOOOO!!! T_T), so don't even try those... unless you want to make your eyes bleed! I'm trying to avoid needing to train another Lora just for males and futanaris again but it seems it's going to be inevitable. sigh
As always feedback is appreciated! I'll be working on this specify project for now. My main goal is improving the dataset for now. So if you have any difficulties on making certain poses/actions be sure to tell me as I'll be taking notes! ^^
Actually I'm still not sure if I just need more videos on the dataset or if the training needs more steps... or both. This Lora is already using more videos than the WAN 2.2 Lora - with higher quality - and yet the results can be very different between the two.
The training takes WAY LONGER as well - 30 hours to make this! WTF!? I'm sorry WAN 2.2! Perhaps I treated you harshly! T_T
Anyway, this is only possible with your support! =) If you wish to support a bit just visit my DeviantArt page. Any support counts. ^^
Thank you for all your support!
Thats all for now!
Have fun! =)
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A few droplets of oil catch on her knuckles, shimmering in the warm light while she continues the steady, rhythmic movement of her hands." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f5aab675-95c9-4f9f-8dc1-9cce82004177/original=true/126652863.mp4", + "nsfwLevel": 16, + "width": 704, + "height": 1280, + "hash": "U5Bftstm56^1IUjZVsM{ys-pv}4.4oRPV@xu", + "type": "video", + "metadata": { + "hash": "U5Bftstm56^1IUjZVsM{ys-pv}4.4oRPV@xu", + "size": 4341431, + "audio": false, + "width": 704, + "height": 1280, + "duration": 14.44 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "smoothmixrealism. The shot starts in a empty college hallway with a double door in the end. A completely nude woman in with shoulder length red hair is running towards the door. She is only wearing tennis shoes and naked body fully exposed. (0, 5s): The camera follows her close from behind as she runs, she pushes open the door into a classroom with a teacher and a chalkboard in the background; Multiple full of clothed students are sitting on their desks; The students in the classroom start laughing at her when she enters the classtoom. (5, 9s) the old male teacher is surprised and says \"Samantha.. what the hell?\". (9, 15s) she turns around to face the viewer. She has large breasts. Then she puts her hands between her legs. She is embarrassed and blushing. she says in a shy tone: \"Sorry! I woke up really late, so I came rushing to class!!\". The students start laughing again. " + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e121fc3f-3dbd-4d4d-8584-9a589360bfc8/original=true/126666063.mp4", + "nsfwLevel": 4, + "width": 1280, + "height": 704, + "hash": "UOG9aCSOXm.8_NWBX8RjRPMxRPMwxuRjjFMx", + "type": "video", + "metadata": { + "hash": "UOG9aCSOXm.8_NWBX8RjRPMxRPMwxuRjjFMx", + "size": 4514940, + "audio": false, + "width": 1280, + "height": 704, + "duration": 9.64 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "smoothmixanime. Anime style. An action scene of a fierce female warrior with long black hair tied in a high ponytail, sharp blue eyes, and a determined expression standing on rocky terrain in a dystopian sci-fi landscape, wearing a glossy black latex bodysuit with glowing cyan accents that tightly hugs her curvaceous figure. She dual wields glowing cyan energy katanas with her gloved hands, the blades humming with power as she prepares to strike. Behind her, a massive dragon with large wings, glowing blue eyes and jagged horns emerges from the mist, roaring silently with electric energy crackling from its maw. She quickly turns with a fluid combat stance to face the dragon turning her back towards the viewer, her ass at the cneter of the shot, her ponytail swaying and bodysuit reflecting the cyan glow. The dragon head lunges slightly closer, energy sparks intensifying around its jaws. Dramatic backlighting creates high contrast rim light with cool cyan and deep shadow tones, emphasizing the glossy texture of her suit and the blade's glow. Medium low-angle shot with asymmetrical composition, camera orbits around her, capturing the subtle shift in her pose, the blade's energy trail, and the dragon's menacing presence. Stylized with a subtle electric particle effect for an intense, provocative cyber-fantasy action atmosphere." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0bc0dd90-81ee-45ec-9021-8e0886edbfe1/original=true/126663755.mp4", + "nsfwLevel": 4, + "width": 704, + "height": 1280, + "hash": "UAC6Gz1$Y8$j.AvgNIwJ0J%fs7W=9XTbxUNZ", + "type": "video", + "metadata": { + "hash": "UAC6Gz1$Y8$j.AvgNIwJ0J%fs7W=9XTbxUNZ", + "size": 4129825, + "audio": false, + "width": 704, + "height": 1280, + "duration": 9.64 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "smoothmixanime, anime style. A musician plays on her saxophone on a neon-lit stage, The camera pans down catching the movements of her body, She wears a glittering red gala dress, she moves her hips left and right, hip movement, She moves her body dancing to the music she is playing, dramatic spotlights moving in the background create an intimate, futuristic mood. black hair, ponytail." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6639353c-0847-46df-a22d-ee1cc00b9fa6/original=true/126651362.mp4", + "nsfwLevel": 4, + "width": 704, + "height": 1280, + "hash": "U897tu~DORtk.k%MxCV=sGx]nmVtIHM|RQR6", + "type": "video", + "metadata": { + "hash": "U897tu~DORtk.k%MxCV=sGx]nmVtIHM|RQR6", + "size": 5354115, + "audio": false, + "width": 704, + "height": 1280, + "duration": 9.64 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "smoothmixrealism. A lithe runner with fair skin, huge breasts and blonde hair sprints along a runway in a park at night. Small constellation tattoo of stars on her left collarbone. Tight black tank top hugs her athletic form and huge bouncing breasts, red shorts complementing her athletic look. Rain patters hard on pavement, boots slap wet concrete. Fast-paced lateral tracking shot, vibrant cyan-magenta against deep shadows, bouncing breasts, intense training. realistic style." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/772b5a67-fcc4-4396-9793-70219a0fe518/original=true/126651360.mp4", + "nsfwLevel": 1, + "width": 704, + "height": 1280, + "hash": "UE8=Th.TSgRP?wx]RjR5MJVrMxRjI9V?MxT0", + "type": "video", + "metadata": { + "hash": "UE8=Th.TSgRP?wx]RjR5MJVrMxRjI9V?MxT0", + "size": 3406390, + "audio": false, + "width": 704, + "height": 1280, + "duration": 10.042 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": " smoothmixanime. Anime style. On a high-altitude train hurtling through a sea of neon-blue clouds, a young man with spiky obsidian hair and a high-collared tech-wear jacket is sitting by a massive, curved window. 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As he speaks, the entire room is illuminated red and an alarm sound can be heard while the train enters a sudden, violent vibration and the entire screen shakes." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/98d4213c-6f6b-4d61-926a-5b234b47cc00/original=true/126651357.mp4", + "nsfwLevel": 8, + "width": 704, + "height": 1280, + "hash": "U39Q~#VX00.TKSi^rWX900H?^PkU8wRj%gVs", + "type": "video", + "metadata": { + "hash": "U39Q~#VX00.TKSi^rWX900H?^PkU8wRj%gVs", + "size": 3828676, + "audio": false, + "width": 704, + "height": 1280, + "duration": 10.042 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "smoothmixrealism. Realistic style, photorealistic. In a misty enchanted forest glade bathed in soft moonlight filtering through ancient trees onto moss-covered ground, a lithe anime-style elf woman with pointed ears, long silver hair flowing to her waist, and glowing violet eyes is standing completely nude beside a crystal-clear pool as she is dipping her toes into the cool water, sending gentle ripples across the surface while her slender frame is turning toward the viewer, her small firm breasts with pale pink nipples fully visible alongside the delicate curve of her hips and the smooth hairless pubic area revealing her puffy outer labia and subtle inner folds. While she is bending forward to scoop water in her hands, the soft splash of liquid and the rustle of leaves in the night breeze are mixing with her light melodic humming in a soft ethereal voice as the water is cascading down her body in shimmering trails that trace over her flat stomach and between her legs. 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Realistic style." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b17fa616-8708-4a3e-afb7-049a5930f69c/original=true/126651355.mp4", + "nsfwLevel": 8, + "width": 704, + "height": 1280, + "hash": "U7Ex*700.7-p-PEkR4~V4oSh0fw^.8#kE*4:", + "type": "video", + "metadata": { + "hash": "U7Ex*700.7-p-PEkR4~V4oSh0fw^.8#kE*4:", + "size": 2424305, + "audio": false, + "width": 704, + "height": 1280, + "duration": 9.64 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "SmoothMixRealism, A woman in her 20s making a sexy pose with her breasts exposed in front of a phone's tripod. She is only wearing denin shorts. She is moving her hips from side to side while putting her shorts down. She is slowly stripping her shorts until her vagina becomes visible. She is smiling and giggling. Her shorts slowly slide down her legs. Background is a bedroom. 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In a spacious sunlit art studio with high ceilings and soft natural light streaming through sheer white curtains onto polished wooden floors, a 25-year-old woman with athletic build, smooth olive skin, short black hair, and piercing green eyes is standing completely nude on a low wooden platform with a small wooden stool next to her, she is on a contraposto pose with her hands behinds her head, her perky breasts with dark areolas and stiff nipples shifting naturally with her small movements while her toned abdomen leads down to her fully exposed pussy. As she is arching her back slightly, a soft exhale is escaping her parted lips accompanied by the gentle creak of the platform beneath her bare feet and the distant murmur of birds outside the window while her breathing is remaining steady and calm. 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\"Epic stuff or lewd stuff... make your choice!\"
Its still not on the same level as the WAN 2.2 version. LTX is very stubborn. T_T
So its still a WIP!
The main problem is the inconsistency of the results and LTX has many little configurations, both in prompting and setup, that can really affect the results. Testing it properly is kinda of a pain. =/
But its still possible to make alot of fun stuff.
There is a lot to explain so lets get started!
ComfyUI Workflow Settings
All videos on all Showcases used this setup:
->Workflow: Smooth Workflow LTX (I2V/T2V) on its default settings (Check the workflow Showcase for more examples);
->Model: ltx-2.3-22b-dev_transformer_only_fp8_scaled;
->Lora: ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16 set to 0.5
With SmoothMix LTX set with 0.8 or 1.0 weight.
Trigger Words
The Loras use the following trigger words:
'SmoothMixAnime' and 'Anime Style' - Will make the video have the style of SmoothMix Illustrious/NoobAI/Illustrious2+NoobAI, I recommend using both;
'SmoothMixRealism' and 'Realistic Style' - Will make the video have the style of SmoothMix Realism, I recommend using both.
Img2Vid and Txt2Vid
Its primary usage is for T2V. LTX 2.3 seems to have a tendency towards realism, causing some facial distortions on semi-realism/anime images on animations. Try using this Lora with the 'SmoothMixAnime' with weight of at least 0.5 - it might help aliviate that. For T2V I recommend using at least 0.8 weight for most cases.
Limitations
So far, LTX is proving to be very annoying for trainning SmoothMix Animation. Using the same dataset with same prompts did not work at all - so making a completely new dataset of videos was necessary. After a few tests this Lora was the best result so far - but its still not as 'energetic' as the Lora for WAN 2.2. The main issue so far is the inconsistency:
Bouncing and movement: The bouncing is nowhere near as it should be (NOOOOOO!!!! T_T). You can still prompt it and get a great results but it doesn't happen everytime. Movement can still be very stiff.
Uncensoring: The uncensoring - overall - works but sometimes can make some weird stuff. (NOOOOOO!!! T_T). So its still not where I want it but it should work well most of the times. I added the male dataset used on Futanaris and Males Lora for WAN 2.2 to uncensor the guys as well but it can only create... huh... eldritch tentacle abominations on the guys (NOOOO!!! T_T), so don't even try those... unless you want to make your eyes bleed! I'm trying to avoid needing to train another Lora just for males and futanaris again but it seems it's going to be inevitable. sigh
As always feedback is appreciated! I'll be working on this specify project for now. My main goal is improving the dataset for now. So if you have any difficulties on making certain poses/actions be sure to tell me as I'll be taking notes! ^^
Actually I'm still not sure if I just need more videos on the dataset or if the training needs more steps... or both. This Lora is already using more videos than the WAN 2.2 Lora - with higher quality - and yet the results can be very different between the two.
The training takes WAY LONGER as well - 30 hours to make this! WTF!? I'm sorry WAN 2.2! Perhaps I treated you harshly! T_T
Anyway, this is only possible with your support! =) If you wish to support a bit just visit my DeviantArt page. Any support counts. ^^
Thank you for all your support!
Thats all for now!
Have fun! =)
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Filtered dataset , should work in most poses without initial bulge
Doesn't work as much with clothes
Use stomach bulge trigger with description
Example made with lcm sampler and 6 steps for 1st stage
ltx23 - i2v 1.1
Slower but better audio and hip movement , use at 0.8-1.0
ltx23 - i2v 1.0
Same as previous ones , use at 0.9 or less to have speech
Audio doesn't always sync up
ltx2 - i2v 1.1
Higher rank and resolution , less jittering , with audio.
Use : fast slow from below from behind held in arms missionary pov riding on top
lying down side view
ltx2 - i2v
Use at 1.0 str , or 0.8-0.9 if you want video to follow the text prompt better
Add scene description and script \"like this\"
Wan2.2 - I2V bulge HIGH
Use at 1.0 str , or 0.6-0.8 if you want video to follow the text prompt better
If it's too slow sample more frames in High , speed up to lower count , sample Low.
Example 81 high > 65 low
1.1 - 720p version , I2V bulge , with no mixing
Best at 0.7-0.8 str , add other loras for better effect
Around 3100 steps
Same prompt below
1.0 - 480p version , I2V bulge , mix test
https://civitai.com/models/1331682/wan-pov-missionary?modelVersionId=1623136
Mixed at different proportions to add motion that was lacking
Also tried merging at higher proportion so this lora is too strong at 1.0 in most cases
Doesn't always sync , try different prompts/settings
Trained on 15 videos 48 frames each , 512x512 , around 3800 steps
Settings used:
lora str - 0.4 - 0.7frames - 49
steps - 10
cfg - 6.0
shift - 5.0
Promt:st0mach ,she is getting fucked , missionary position, pov , stomach is bulging with each thrust,with her legs spread having sex with a man.A man is thrusting his penis back and forth
10eros_sulphur_1.1
Filtered dataset , should work in most poses without initial bulge
Doesn't work as much with clothes
Use stomach bulge trigger with description
Example made with lcm sampler and 6 steps for 1st stage
ltx23 - i2v 1.1
Slower but better audio and hip movement , use at 0.8-1.0
ltx23 - i2v 1.0
Same as previous ones , use at 0.9 or less to have speech
Audio doesn't always sync up
ltx2 - i2v 1.1
Higher rank and resolution , less jittering , with audio.
Use : fast slow from below from behind held in arms missionary pov riding on top
lying down side view
ltx2 - i2v
Use at 1.0 str , or 0.8-0.9 if you want video to follow the text prompt better
Add scene description and script \"like this\"
Wan2.2 - I2V bulge HIGH
Use at 1.0 str , or 0.6-0.8 if you want video to follow the text prompt better
If it's too slow sample more frames in High , speed up to lower count , sample Low.
Example 81 high > 65 low
1.1 - 720p version , I2V bulge , with no mixing
Best at 0.7-0.8 str , add other loras for better effect
Around 3100 steps
Same prompt below
1.0 - 480p version , I2V bulge , mix test
https://civitai.com/models/1331682/wan-pov-missionary?modelVersionId=1623136
Mixed at different proportions to add motion that was lacking
Also tried merging at higher proportion so this lora is too strong at 1.0 in most cases
Doesn't always sync , try different prompts/settings
Trained on 15 videos 48 frames each , 512x512 , around 3800 steps
Settings used:
lora str - 0.4 - 0.7frames - 49
steps - 10
cfg - 6.0
shift - 5.0
Promt:st0mach ,she is getting fucked , missionary position, pov , stomach is bulging with each thrust,with her legs spread having sex with a man.A man is thrusting his penis back and forth
V1.0
Initial version
Trained on synthetic training data
Normalized video data
Motion vector enhanced footage
31 (5s) Videos
No audio trained and audio excluded
💞 DaSiWa NSFW Body Physics Fluid Motion Enhancer | Lora 💞
![](\"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7e7d1777-9036-45ee-993d-e45ac100c76a/original=true/7e7d1777-9036-45ee-993d-e45ac100c76a.jpeg\")
🔮 Key Features:
🔥 Spiced body physics
🔞 NSFW trained
🪄 Fluid motion starts
👉👈 Enhanced motion speeds
🫣 Strong jiggles
👘 Visual consistency/understanding
🛠️ Recommended Settings
Strength 0.5 - 1.0
V1 - Data
Trained on synthetic video dataset
🖤 Why I Made This
This was a fun project to overall enhance aspects for general NSFW scenes, because I really wanted to test speedy jiggle body physics and enhanced motion for NSFW settings! Maybe it can exaggerate sometimes! 😁
Disclaimer
This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.
YOU are responsible for outputs as always! If you make ToS violating content and I get aware I WILL report this.
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She is bent forward with arched back and makes a v-sign, smiling with open mouth, making a flirty expression. She is bouncing her breasts up and down. One bubble explode in purple glitter.\nGentle ping sound when one of the bubbles explode." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e416ce24-456b-4590-a338-06b5fd547889/original=true/132535005.mp4", + "nsfwLevel": 4, + "width": 1664, + "height": 2432, + "hash": "U36*Uct800WB4TaetlbH0cWB-XbE%%WUr=jY", + "type": "video", + "metadata": { + "hash": "U36*Uct800WB4TaetlbH0cWB-XbE%%WUr=jY", + "size": 5325575, + "audio": false, + "width": 1664, + "height": 2432, + "duration": 8.041 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "She smiles with her purple heart-shaped pupils, her digital glowing skin lines and slightly glowing and blinking collar.\nShe slightly bounces her breast up und down, make the breasts jiggle and tells the viewer with a sweet young female whispering voice \"Are you enjoying me, Master?\" \"私を使ってください！\"" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f6418e5c-6586-4f30-8851-0ffef99bfa54/original=true/132535006.mp4", + "nsfwLevel": 16, + "width": 1536, + "height": 2688, + "hash": "U56t]_D$00_49ER*%Mn$M_%Mt7MxImkCoNV@", + "type": "video", + "metadata": { + "hash": "U56t]_D$00_49ER*%Mn$M_%Mt7MxImkCoNV@", + "size": 5092604, + "audio": false, + "width": 1536, + "height": 2688, + "duration": 8.041 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "D4S1W4_NSFWSME, She smiles with her purple pupils, her digital glowing skin lines and slightly glowing and blinking collar.\nShe bounces her ass up und down on the penis inserted into her anus, make the ass jiggle and tells the viewer with a sweet young female whispering voice \"You will break me!\" \"どうか私を滅ぼしてください！\"" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bb3ea74e-1bcd-46b9-92cf-a10e996628bf/original=true/132535008.mp4", + "nsfwLevel": 16, + "width": 1664, + "height": 2432, + "hash": "U25P8gXl00r@0yj[qvafHXnPw0X7?]g2X,a1", + "type": "video", + "metadata": { + "hash": "U25P8gXl00r@0yj[qvafHXnPw0X7?]g2X,a1", + "size": 9233146, + "audio": false, + "width": 1664, + "height": 2432, + "duration": 6.041 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "D4S1W4_NSFWSME, Cybernetic woman with green hair, cat ears and mechanical parts is squatting is pov view on a man. She is bouncing up and down on the mans penis, she is doing all the work, her breasts bounce rhythmically to her actions. She is holding her hands behind her head, fucking the mans penis with strong up and down movements.\nHer pussy is leaking translucent liquid, making the penis glistering wet.\nSloppy, wet traction ambient sounds." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6df8fb2a-be66-4b01-9b95-7020c3dbecf9/original=true/132704754.mp4", + "nsfwLevel": 2, + "width": 1792, + "height": 2304, + "hash": "U27ebSIA00?u.may8wog4TWVyrtRM0aKtQo}", + "type": "video", + "metadata": { + "hash": "U27ebSIA00?u.may8wog4TWVyrtRM0aKtQo}", + "size": 6591666, + "audio": false, + "width": 1792, + "height": 2304, + "duration": 5.041 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "D4S1W4_NSFWSME, Cybernetic maid woman with white glowing hair and mechanical parts is holding a pudding on a dish.\nShe is jiggling the pudding on the dish left and right, the pudding is jiggling left and right bending fluid with fast motion.\nSloppy, wet traction pudding ambient sounds.\nShe says with whispering cute young female voice \"This is how you properly jiggle it!\"" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.red/api/download/models/2996907", + "creator": { + "username": "Darksidewalker", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/910bb715-4b79-460c-95b9-0824647fd500/width=96/Darksidewalker.jpeg" + } + }, + "tags": [ + "nsfw", + "lora", + "enhancer", + "motion", + "dasiwa", + "ltx23", + "concept" + ], + "modelDescription": "💞 DaSiWa NSFW Body Physics Fluid Motion Enhancer | Lora 💞
🔮 Key Features:
🔥 Spiced body physics
🔞 NSFW trained
🪄 Fluid motion starts
👉👈 Enhanced motion speeds
🫣 Strong jiggles
👘 Visual consistency/understanding
🛠️ Recommended Settings
Strength 0.5 - 1.0
V1 - Data
Trained on synthetic video dataset
🖤 Why I Made This
This was a fun project to overall enhance aspects for general NSFW scenes, because I really wanted to test speedy jiggle body physics and enhanced motion for NSFW settings! Maybe it can exaggerate sometimes! 😁
Disclaimer
This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.
YOU are responsible for outputs as always! If you make ToS violating content and I get aware I WILL report this.
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null, + "baseModel": "LTXV 2.3", + "baseModelType": "Standard", + "earlyAccessEndsAt": null, + "earlyAccessConfig": null, + "description": "8-step lora for both full and FP8 models
", + "uploadType": "Created", + "usageControl": "Download", + "air": "urn:air:ltxv23:checkpoint:civitai:2448150@2753250", + "stats": { + "downloadCount": 681, + "thumbsUpCount": 32 + }, + "model": { + "name": "LTX-2.3", + "type": "Checkpoint", + "nsfw": false, + "poi": false, + "description": "This is not my model. Don't ask me questions. I don't know the answers.
Go to the official LTX-2.3 HuggingFace repo for answers.
I've only uploaded the model here as a way to tag the videos I generate with it. It will most likely be taken down once the official owners or CivitAI upload their own version, so be warned.
The following is the original README as of time of publishing.
LTX-2.3 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution.
![\"LTX-2](\"https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx2.3-open.png\")
Model Checkpoints
NameNotesltx-2.3-22b-devThe full model, flexible and trainable in bf16ltx-2.3-22b-distilledThe distilled version of the full model, 8 steps, CFG=1ltx-2.3-22b-distilled-lora-384A LoRA version of the distilled model applicable to the full modelltx-2.3-spatial-upscaler-x2-1.0An x2 spatial upscaler for the ltx-2.3 latents, used in multi stage (multiscale) pipelines for higher resolutionltx-2.3-spatial-upscaler-x1.5-1.0An x1.5 spatial upscaler for the ltx-2.3 latents, used in multi stage (multiscale) pipelines for higher resolutionltx-2.3-temporal-upscaler-x2-1.0An x2 temporal upscaler for the ltx-2.3 latents, used in multi stage (multiscale) pipelines for higher FPS
Model Details
Developed by: Lightricks
Model type: Diffusion-based audio-video foundation model
Language(s): English
Online demo
LTX-2.3 is accessible right away via the API Playground.
Run locally
Direct use license
You can use the models - full, distilled, upscalers and any derivatives of the models - for purposes under the license.
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She begins rapping slowly, lips parting deliberately—\"I... am... the queen... with white hair gleam...\"—before dramatically accelerating into rapid-fire flow—\"Twintails whippin', hat brim flippin', blue eyes grippin', lips drippin' sin, drop the beat, feel the spin!\"—her jaw quickening as faint breath mists the air, causing twintails to sway gently. Background remains softly blurred bokeh, ethereal fog wisps curling in from the edges under pulsing soft light that flares warmly across her features. Slow dolly zoom tightens intimately from face to eyes, heightening the hypnotic intensity over 5 seconds.. 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Subtle breath mists the air between her lips, forming faint wisps that catch the evolving light, which shifts from soft sculpting on velvet skin textures to pulsing flares dancing across eyelash tips and hair filaments. Minimal background blurs further with ethereal haze drifting in, enhancing intimacy. Camera slowly dollies in from tight frame to ultra-close on her vibrant eyes and accelerating mouth, heightening the hypnotic energy over 5 seconds.. The camera pans right at the end of the video." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7b10d869-6111-456a-a957-9d9b7b7f7905/original=true/123471921.mp4", + "nsfwLevel": 1, + "width": 608, + "height": 896, + "hash": "UGHm.K020z~BRjS49u^*-o%1%157V@%2I;%1", + "type": "video", + "metadata": { + "hash": "UGHm.K020z~BRjS49u^*-o%1%157V@%2I;%1", + "size": 2547061, + "audio": false, + "width": 608, + "height": 896, + "duration": 11.281 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 416500139, + "steps": 10, + "prompt": "A cinematic scene. 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Dramatic sidelight shifts warmer and flares subtly across her jawline and hairline, carving deeper shadows that dance with her accelerating cadence, while faint breath vapor wisps from her lips in the intimate air. Softly blurred background pulses faintly with implied bass vibrations. Camera dollys in ultra-slowly from shoulders to lock on her eyes and mouth, heightening the raw tactile urgency over 5 seconds.. The camera pans right at the end of the video." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/99822812-c6c8-4719-965b-ce7662c6a209/original=true/123746327.mp4", + "nsfwLevel": 4, + "width": 608, + "height": 896, + "hash": "UmIXv%j@xaay~qWCM|a}?bt6WBof%MofWBay", + "type": "video", + "metadata": { + "hash": "UmIXv%j@xaay~qWCM|a}?bt6WBof%MofWBay", + "size": 5306990, + "audio": false, + "width": 608, + "height": 896, + "duration": 20.033, + "thumbnailId": 123746342, + "thumbnailFrame": null, + "nsfwLevelReason": null + }, + "minor": false, + "poi": false, + "meta": { + "seed": 1900639386, + "steps": 8, + "prompt": "A cinematic scene. The handheld camera captures the scene in a gritty, cinéma vérité style, the warm haze of late afternoon sun bleaching the edges of the frame as the young woman shifts her weight on the cracked sidewalk, fingers nervously twisting the strand of brown hair. The off-screen interviewer’s arm extends into view, the black microphone hovering just below her chin as he booms, \"Interview on the Street!\"—his voice tinny and overmodulated. The woman blinks rapidly behind her rectangular glasses, her shoulders tensing as he fires the first question: \"So, you’re wearing a bra in public—does that mean you’re, like, a feminist statement or just bad at laundry?\" She stutters, \"I—I just like the comfort, it’s not—\" but he cuts her off, leaning in with a smirk, \"Wait, wait—those wrist cuffs look sus. You into, like, light bondage or are you just cosplaying as a failed TikTok influencer?\" Her nervous smile twists into a scowl, \"Oh wow, you’re real original—\" as the streetlamp flickers violently, casting jagged shadows across her face. The interviewer starts another question—\"Okay, but seriously, what’s the deal with the—\" but she slashes a hand through the air, laughing sharply, \"Dude, are you actually this bad at your job, or is this, like, a bit?\" The camera jolts slightly, refocusing as the microphone dips out of frame, the hazy glow now tinged with the orange of setting sun as she rolls her eyes, the vacant lot’s dry weeds rustling in a sudden gust.." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0accbef8-2f76-470c-bb4b-3914d788ec27/original=true/123746368.mp4", + "nsfwLevel": 2, + "width": 608, + "height": 896, + "hash": "U9DSE?5800$%nf%29coc01xW~BIqxKM{$]Ne", + "type": "video", + "metadata": { + "hash": "U9DSE?5800$%nf%29coc01xW~BIqxKM{$]Ne", + "size": 6317361, + "audio": false, + "width": 608, + "height": 896, + "duration": 20.033, + "thumbnailFrame": 16, + "nsfwLevelReason": null + }, + "minor": false, + "poi": false, + "meta": { + "seed": 2117497448, + "steps": 8, + "prompt": "A cinematic scene. Video Prompt:\n\nIn a gritty, cinematic street scene bathed in golden-hour light, a young woman in a rainbow shimmer costume stands on cracked pavement, her pastel creamy afro partially obscuring one eye as fragmented sunlight dances across her velvet violet lipstick and curl mascara. The camera starts tight on her nervous smile, her gaze darting off-camera as an arm extends from the edge of the frame, holding a microphone toward her—\"Interview on the Street!\" the interviewer declares. As she hesitates, stammering, \"Uh, well, I—I was just—\", the interviewer cuts in with, \"Do you ever regret wearing something so loud? Like, does it ever make you feel like a walking traffic cone?\" She blinks, her smile faltering before she snaps back, \"Wow, okay—no, but do you ever regret asking questions like that?\" The interviewer starts to retort, but she interrupts, laughing, \"Oh my god, are you seriously wearing a fanny pack right now?\" The camera dollys back slightly, revealing the interviewer’s embarrassed shift as the microphone dips into the corner of the frame, dust particles swirling in the late afternoon sun behind her. The brick wall and rusted fire escape loom in the background, graffiti faded but still vibrant against the warm, shifting light.." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/46a6abb1-b8d1-4f3a-aa35-cc62f4e23658/original=true/123746389.mp4", + "nsfwLevel": 2, + "width": 608, + "height": 896, + "hash": "ULC$4exvWYI;~CxbW=W=xvxbogxuozt7t7t7", + "type": "video", + "metadata": { + "hash": "ULC$4exvWYI;~CxbW=W=xvxbogxuozt7t7t7", + "size": 5070287, + "audio": false, + "width": 608, + "height": 896, + "duration": 20.033, + "thumbnailFrame": 16 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 1722956534, + "steps": 8, + "prompt": "A cinematic scene. Video Prompt:\n\nIn a dimly lit, narrow city alley, bathed in the flickering pale pink glow of a neon sign overhead, a young woman leans against a weathered brick wall, her black backless dress shimmering subtly under the uneven light. The camera starts tight on her face—her nervous smile, the silver lip piercing catching a glint—as she glances upward, avoiding the lens. The disembodied arm of the interviewer juts into frame from the lower left, holding a microphone just out of view, its edge barely visible in the corner. The interviewer’s voice cuts through the hum of the city: \"Interview on the Street! What’s the weirdest thing you’ve ever stolen?\" She hesitates, fingers tightening slightly around the back of her neck, \"Uh… I—I once took a hotel Bible because I thought it was, like, a free souvenir?\" The interviewer interrupts, microphone dipping slightly as they lean in, \"Okay, but why are your boots so suspiciously scuff-free in this filthy alley?\" Her smile falters, eyes darting to her thigh-high boots before she snaps, \"Oh, wow, are we doing this? Maybe because I don’t drag my feet like some people drag conversations—\" The interviewer starts to retort, \"Wait, have you ever—\" but she cuts them off, rolling her eyes and pushing off the wall with a laugh, \"Dude, your questions are worse than this puddle’s reflection.\" As she steps forward, the camera dollies back slightly, the neon sign flickering violently, casting jagged shadows across the damp pavement as her boot splashes through the puddle, sending ripples through the pink-tinged water. The interviewer’s microphone lowers out of frame, defeated.." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/31f31764-b8eb-4673-9c3f-ccf0b4368618/original=true/123500362.mp4", + "nsfwLevel": 1, + "width": 416, + "height": 608, + "hash": "UG9Qmo?cS%IU~q.8o#M{-;-;%2RjX9-;%2fl", + "type": "video", + "metadata": { + "hash": "UG9Qmo?cS%IU~q.8o#M{-;-;%2RjX9-;%2fl", + "size": 3990331, + "audio": false, + "width": 416, + "height": 608, + "duration": 32.042 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 1614574085, + "steps": 10, + "prompt": "A cinematic scene. Strong fisheye lens effect. Cinematic high-fidelity live-action, Rapi stands within the claustrophobic, metallic confines of the dimly lit Ark hallway, the sharp fluorescent overheads casting linear highlights across her tactical suit. As she begins to rap, her rhythmic head movements create a subtle, intense kinetic energy that draws the ambient light across her blonde hair and the sleek, obsidian surfaces of the corridor. A heavy mechanical hum vibrates through the air, causing fine droplets of condensation to slide further down the reinforced glass panel, while soft industrial dust motes dance in the flickering light flares. The camera executes a slow, deliberate dolly-in, narrowing the frame to her face as her lips move with sharp, percussive precision, her gaze fixed with unwavering focus. 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Strong fisheye lens effect. Cinematic intimate portrait, close-up with soft, shallow depth of field. In a dim, atmospheric room, dusty golden sunlight spills through wooden shutters, creating sharp, rhythmic ribbons of light across the girl’s sharp collarbone and bare shoulders. As she begins to deliver a rhythmic vocal performance, her jaw articulates with precise, melodic sharpness, and her blue eyes flicker with intense, focused energy. The raven-black strands of her bob sway subtly against her cheek in a stray breeze, catching the amber light, while the glass vase in the foreground stays illuminated by a shimmering glint of condensation. The camera performs a slow, fluid push-in, tightening the frame on her expressive face as the golden light bars shift slightly across her skin, tracking the cadence of her performance.. \nThe character begins to sing:\n\"\n[Verse 1]\n\nRibbons of gold cut across your collarbone,\nTracing the hollow where the static’s grown.\nBlack silk halter gripping tight to the skin,\nI’m the secret impulse that you’re living in.\n\n[Verse 2]\n\nCool condensation sliding down the glass vase,\nI’m mapping the shadows that fall on your face.\nOne dark strand tickling the blue of your eye,\nYou’re looking for trouble, let me tell you why.\n\"\nThe camera pans right at the end of the video." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cc078126-16d5-4dca-b0f0-f4d4e7e1ca96/original=true/123500514.mp4", + "nsfwLevel": 2, + "width": 416, + "height": 608, + "hash": "U58|nmEM0fvf%~M{D%RPM#ivrrEfEfIo~C%2", + "type": "video", + "metadata": { + "hash": "U58|nmEM0fvf%~M{D%RPM#ivrrEfEfIo~C%2", + "size": 5095213, + "audio": false, + "width": 416, + "height": 608, + "duration": 32.042, + "nsfwLevelReason": null + }, + "minor": false, + "poi": false, + "meta": { + "seed": 2144351120, + "steps": 10, + "prompt": "A cinematic scene. Strong fisheye lens effect. The scene unfolds in a hyper-realistic cinematic style within the dense, humid jungle clearing where the air ripples with visible heat haze and dancing dust motes. Cham Cham, centered in an intimate portrait shot, narrows her gaze and begins to nod rhythmically, her jaw moving in sync with a steady, percussive beat as she starts to rap. Each word pulls at the tension in her neck and the taut muscles of her shoulders, which pulse with subtle shifts against the backdrop of vibrant, shifting foliage. Above, the dense canopy vibrates slightly in a light breeze, causing the golden splinter of sunlight to dance and flicker across her face and the moisture on her skin. A slow, steady dolly-in camera move tightens the frame on her expressive features, capturing the intensity in her eyes as the humidity causes stray tendrils of her green hair to cling to her damp forehead.. \nThe character begins to sing:\n\"\n[Verse 1]\n\nMoss slick under knees, I’m tracing veins on the leaf\nSunlight hits my shoulder, honey drop, sweet relief\nMy hair’s a jungle tangle, spilling down in neon strands\nI’m feeling every heartbeat drumming rhythmic through my hands\n\n[Verse 2]\n\nHumidity is rising, yeah it’s sticking to my spine\nTracing out the broadleaf like I’m tracing out a line\nCalloused fingertips, I know exactly where to press\nTaut and waiting for the jungle heat to undress\n\"\nThe camera pans right at the end of the video." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6e7370c9-0fa2-413e-8ad3-1dd449ddbc47/original=true/123500784.mp4", + "nsfwLevel": 1, + "width": 416, + "height": 608, + "hash": "UB8|O:Ef0f={~BNH9u$*I;$*%1Io0z$%=|EM", + "type": "video", + "metadata": { + "hash": "UB8|O:Ef0f={~BNH9u$*I;$*%1Io0z$%=|EM", + "size": 4319056, + "audio": false, + "width": 416, + "height": 608, + "duration": 32.042 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 2144351126, + "steps": 10, + "prompt": "A cinematic scene. Strong fisheye lens effect. Cinematic digital portrait with sharp focus and crystalline textures, capturing the woman in her dim, sun-drenched office. As she begins to rap, her jaw rhythmically drops and angles with synchronized precision, while her slender, black-gloved fingers tap an energetic, percussive beat against the glowing monitor surface. The warm, sharp sunlight tracing her multicolored pink and orange hair shifts slightly as dust motes dance through the beams, swirling in the rising heat of her performance. Her formal pinstripe jacket subtly bunches and creases with her rhythmic torso movements, emphasizing the tension of her posture. The camera executes a slow, intimate dolly-in, tightening the frame on her expressive lips and eyes as the ambient office hum is overtaken by the sharp, rhythmic cadence of her flow.. \nThe character begins to sing:\n\"\n[Verse 1]\n\nDust motes dancing where the sharp light cuts the floor\nI’m pushing boundaries behind this heavy office door\nStraining buttons on the silk, straining nerves in your seat\nBlack leather fingertips tracing heat beneath the sheet\n\n\"\nThe camera pans right at the end of the video." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2753250", + "creator": { + "username": "clueless_engineer", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8a959494-072f-4534-984b-6c01c1cba4a8/width=96/clueless_engineer.jpeg" + } + }, + "tags": [ + "ltx-2", + "base model", + "video", + "ltx", + "ltx-2.3" + ], + "modelDescription": "This is not my model. Don't ask me questions. I don't know the answers.
Go to the official LTX-2.3 HuggingFace repo for answers.
I've only uploaded the model here as a way to tag the videos I generate with it. It will most likely be taken down once the official owners or CivitAI upload their own version, so be warned.
The following is the original README as of time of publishing.
LTX-2.3 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution.
Model Checkpoints
NameNotesltx-2.3-22b-devThe full model, flexible and trainable in bf16ltx-2.3-22b-distilledThe distilled version of the full model, 8 steps, CFG=1ltx-2.3-22b-distilled-lora-384A LoRA version of the distilled model applicable to the full modelltx-2.3-spatial-upscaler-x2-1.0An x2 spatial upscaler for the ltx-2.3 latents, used in multi stage (multiscale) pipelines for higher resolutionltx-2.3-spatial-upscaler-x1.5-1.0An x1.5 spatial upscaler for the ltx-2.3 latents, used in multi stage (multiscale) pipelines for higher resolutionltx-2.3-temporal-upscaler-x2-1.0An x2 temporal upscaler for the ltx-2.3 latents, used in multi stage (multiscale) pipelines for higher FPS
Model Details
Developed by: Lightricks
Model type: Diffusion-based audio-video foundation model
Language(s): English
Online demo
LTX-2.3 is accessible right away via the API Playground.
Run locally
Direct use license
You can use the models - full, distilled, upscalers and any derivatives of the models - for purposes under the license.
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I was the first to come out with an LTX-2 penis lora, and now you have several to choose from. Mine can be used to create penises from scratch (t2v) or to keep them from disappearing if you already have one (i2v). Text to video is more likely to create ugly dicks than image to video, so I recommend using one of my many image LoRAs to get your dick in your pic (Qwen or Z Image Base are best quality for my LoRAs). Version history:
Version 1 - 650 images for 35,000 steps with the LTX trainer.
Version 2 - added videos to the version 1 images LoRA using the LTX trainer. It ended up being overbaked with dozens of checkpoints saved. I'm reluctant to release it, but it may be useful for image to video where you want a cumshot
Version 3 - this version was trained with the same image dataset as the rest of my current penis LoRAs as well as 55 videos, 512x512 x 121 assembled for training version 2. I used AI Toolkit and started all over again. I overbaked but saved snapshots along the way and rolled back and decreased the learning rate, and I am using the checkpoint from ~17k steps for this version 3 of the LoRA.
Version 4 - trained on improved captions, more videos. Fixed the audio issue so you don't need to use the Advanced Lora Loader on it to mute out any noise (there's no noise). This can do natural cumshots, but you can pair with a cum LoRA if you want anything more fun.
Check out these workflows that have renewed my faith in this model being actually useful: https://huggingface.co/RuneXX/LTX-2.3-Workflows
Grok, Venice, or a locally version of Qwen 3 VL abliterated model on Ollama can create filthy NSFW prompts for you for use with these models.
I welcome feedback but don't be a douche. If you're looking for chicks with dicks or uncut penises, I'm not the right creator for you. I create what I like, so sorry chicks with dicks and uncut penis lovers, not my thing. You're in luck because this site is full of that. Do let me know if you are able to prompt my stuff into doing sometime outside of the box pun intended with my creations.
Version 1 required more detailed prompts to get good text to video results. You can also use my or other penis loras for image models to create your keyframes with penis in there, then animate them with this LoRA.
NOTE for version 3:
I selected the option to train the audio from the video clips but the results just sound terrible and the white noise will dominate. You can turn off the audio from my LoRA with the LTX2 LoRA Loader Advanced node from comfyui-kjnodes. Set the video_to_audio, audio, and audio_to_video multipliers to 0 as shown in this screenshot. https://civitai.com/images/121955512 Resolved in version 4 without this workaround
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Says teasingly: \"These guns don't quit... feel that pump?\"\n(bwc)\nThumbs slide inside the waistband of the red Adidas trunks at both sides — tugs them down teasingly just enough to expose the deep Adonis belt, sharp V-lines, and the top of his pubic mound, but holds there, flexing lower abs hard, smirking directly at the viewer with dominant tension. Whispers intensely: \"Not yet... make me want it.\"\n\nFinally, decisive tug — red trunks slide smoothly down thick quads and calves with a wet slide sound, dropping to the tiled floor. Completely nude now, massive semi-erect cock and heavy balls glistening under the relentless shower stream. He steps slightly closer to camera, strikes one last powerful front double biceps pose fully naked — every muscle carved, veins throbbing, water pouring over his ripped physique. Holds the pose with confident, piercing eye contact as steam swirls around him, and delivers a final low commanding line: \"Come get this... all of it.\" Ultra-detailed skin texture, realistic dynamic water physics, droplet splashes and rivulets, cinematic shallow depth of field, slow sensual motion with occasional sharper flex bursts, erotic male muscle worship atmosphere, high production value, synchronized lip movements on dialogue, deep masculine voice with gravelly dominant tone\n\n", + "cfgScale": 1, + "negativePrompt": "blurry, out of focus, overexposed, underexposed, low contrast, washed out colors, excessive noise, grainy texture, poor lighting, flickering, motion blur, distorted proportions, unnatural skin tones, deformed facial features, asymmetrical face, missing facial features, extra limbs, disfigured hands, wrong hand count, artifacts around text, " + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/aabdcb39-3a9d-41b2-8a22-354b1cd8f6c1/original=true/129042468.mp4", + "nsfwLevel": 16, + "width": 1920, + "height": 1088, + "hash": "U87nOEoz9FRP?^f+VEVsTxWWVEV@yCR*IBaK", + "type": "video", + "metadata": { + "hash": "U87nOEoz9FRP?^f+VEVsTxWWVEV@yCR*IBaK", + "size": 3442644, + "audio": false, + "width": 1920, + "height": 1088, + "duration": 20.2 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "Style: cinematic - natural - Dense steam swirls in the dimly lit wooden steam room as gentle, inspirational music plays softly in the background. The muscular athletic man, coachbate, sits on a bench with legs spread, his hand resting on the shaft of his bwc, which is thick and hard. He strokes it slowly up and down, the movement firm and deliberate, producing wet schlick-schlick sounds with each stroke. His abs clench, his balls tighten, and he breathes heavily. One of the two naked men turns around, revealing his large penis bwc, and says, \"I'm hitting the showers,\" then gives the coach a quick kiss on the cheek before walking away. The second man turns around, also showing his large penis, and stands with his back to the camera, his muscular buttocks with speedo tan lines visible. The camera zooms in on the coach’s bwc, showing its rock-hard texture, veins running along the shaft, and the defined glans at the tip. He continues stroking slowly, up and down, as his abs clench and his balls tighten. Then, he releases thick, gooey, semi-transparent white fluid from the opening at the tip of his bwc. The fluid comes out in rope-like strands, flying upward into the air and landing with soft thuds on the nearby man. The man responds, \"Thanks, coach,\" as the coach chuckles and steam drifts upward in the room. bwc, coachbate looks at the camera, smirks huskily, and says, \"Version 4 trained with 22 thousand steps on coach bate's improved data set with LTX-2.3.\" and coach chuckles as steam drifts." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/06ef3a7d-e3e1-4e3d-a630-8d98ad23ceaf/original=true/129031267.mp4", + "nsfwLevel": 16, + "width": 704, + "height": 1280, + "hash": "UAB2uy=@xV~B$%={%1jY9uspW=Rj9uM|afNI", + "type": "video", + "metadata": { + "hash": "UAB2uy=@xV~B$%={%1jY9uspW=Rj9uM|afNI", + "size": 7609865, + "audio": false, + "width": 704, + "height": 1280, + "duration": 20.2 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 877224560914172, + "steps": 12, + "prompt": "INT. STEAMY SAUNA - NIGHT\nHyper-muscular handsome white man \ncontinues to stoke his dick bwc and flex his biceps and abs for the camera. saying \"you like that?\" \n\nhe ejaculates an impressive cumshot of translucent white goo The video morphs the background seamlessly and hands off the man to the next man and repeat. They say occasionally, \"thanks coach\" \n\nHe grips base firmly, begins slow deliberate strokes up and down shaft, wet schlick-schlick sounds echo.\nBreaths deepen to low grunts, murmurs quietly: \"fuck yeah\" \"mmm\" \"bro\" \"fuuuuck\" \"yeah\" interspersed.\nPace builds rhythmic and faster, abs clench, balls tighten.\nStrokes intensify, body tenses hard.\n\n\n\nExplosive release—thick gooey semi-transparent white cum erupts in powerful upward arcs, first heavy blob splats into his styled hair, second hits ear, pooling and oozing slowly down earlobe and neck in viscous strands.\n\n\nDoor creaks open, second hyper-muscular nude man enters quickly, skin glistening, erect penis in hand.\nHe steps close, strokes himself rapidly facing CoachBate, low grunts building.\nIntense focused expression, hand pumps fast, wet sounds mix with steam hiss and breathing.\nHe tenses, groans deeply \"ungh fuck\", releases thick ropes of cum that arc and splatter across CoachBate's chest, abs, and face in heavy warm spurts.\nCum drips down skin, mixes with sweat.\nSoft wet impacts, heavy satisfied breathing from both, final low grunts as steam swirls thicker around them.", + "cfgScale": 1, + "negativePrompt": ", extra limbs, disfigured hands, wrong hand count\nblurry, out of focus, overexposed, underexposed, low contrast, washed out colors, excessive noise, grainy texture, poor lighting, flickering, motion blur, distorted proportions, unnatural skin tones, deformed facial features, asymmetrical face, missing facial features, inconsistent perspective, camera shake, incorrect depth of field, background too sharp, background clutter, distracting reflections, harsh shadows, inconsistent lighting direction, color banding, cartoonish rendering, 3D CGI look, unrealistic materials, uncanny valley effect, incorrect ethnicity, silent or muted audio, distorted voice, robotic voice, echo, background noise, off-sync audio, incorrect dialogue, added dialogue, speaking stage directions, repetitive speech, jittery movement, awkward pauses, incorrect timing, unnatural transitions, inconsistent framing, missing shallow depth of field, flat lighting, inconsistent tone, cinematic oversaturation, stylized filters, AI artifacts." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a99fd9e1-e6b6-482f-93d8-64444393a5e4/original=true/129008921.mp4", + "nsfwLevel": 16, + "width": 1280, + "height": 704, + "hash": "U5CP3B-B4.~V00%L~CE1slNcoeIo^*Rkni?H", + "type": "video", + "metadata": { + "hash": "U5CP3B-B4.~V00%L~CE1slNcoeIo^*Rkni?H", + "size": 6259519, + "audio": false, + "width": 1280, + "height": 704, + "duration": 20.042 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 44, + "steps": 8, + "prompt": "bwc, handsome muscular naked man in steamy wooden sauna, legs spread, jerks off and cums and says \"you like that - its v4 of coach bate's laura for LTX-2.3\"\n\n", + "cfgScale": 1, + "negativePrompt": "blurry, oversaturated, pixelated, low resolution, grainy, distorted, noise, compression artifacts, jpeg artifacts, glitches, watermark, text, logo, signature, copyright, subtitles, distorted sound, saturated sound, loud" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1a47881e-e46d-46b4-aba2-482fadba36d2/original=true/129006458.mp4", + "nsfwLevel": 16, + "width": 386, + "height": 704, + "hash": "UF9tAWxuR%WW.mtRNGbHPUt7oLof%zX7sAfk", + "type": "video", + "metadata": { + "hash": "UF9tAWxuR%WW.mtRNGbHPUt7oLof%zX7sAfk", + "size": 17103877, + "audio": false, + "width": 386, + "height": 704, + "duration": 12.02 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "INT. STEAM ROOM - DAY\n\nDense steam swirls in dimly lit wooden steam room, zen music in background, warm hazy light. Muscular athletic man, coachbate ,legs spread, strokes thick hard penis bwc slowly, hand gliding firmly up and down veined shaft, Wet schlick-schlick echoes, heavy breaths. He is surrounded by two 25 year old white muscular men with speedo tan lines\n \ncoachbate Looks at camera, smirking huskily: \"Version 4 trained with 22 thousand steps with my dataset on LTX-2.3 - is it ready to be shared?\" The other men flex their biceps as the camera zooms in for a close up of coach's penis which is very detailed , rock-hard, veiny, defined glans. Coach strokes deliberately slowly up and down so you can see the beautiful penis. His abs clench, balls tighten. The camera zooms out to capture him climaxing releasing thick gooey white cum from the tip of his penis up in the air and landing with a thud on the nearby men with lots of the cum shot landing on their ass. they rub it in, and say \"thanks coach\" Faint chuckle echoes as steam drifts." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/10752869-47ed-4eaf-b798-f8832f0da058/original=true/129035589.mp4", + "nsfwLevel": 16, + "width": 704, + "height": 1280, + "hash": "U9F;7o}sELjZsANb0gS20gf6^OkB^ibH$%NH", + "type": "video", + "metadata": { + "hash": "U9F;7o}sELjZsANb0gS20gf6^OkB^ibH$%NH", + "size": 1944809, + "audio": false, + "width": 704, + "height": 1280, + "duration": 5.042 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": " bwc, Style: realistic - cinematic - handsome muscular naked man in steamy wooden sauna, legs spread, thick long erect penis pointing upward, detailed realistic penis anatomy, swollen flared mushroom glans head, prominent corona ridge, clear defined glans edge separation from shaft, urethral opening slit visible, glossy wet glans texture, prominent modern veins on shaft, right hand gripping firmly at thick base. Camera slowly pushes in to close-up on penis glans, fresh semi-translucent white gooey cum released a few feet in the air before landing back down on him, accumulating in a puddle of cum, as he repeats the cum shot over and over. Soft golden steam haze, sweat beads, zen spa music with chimes. he says \"Can you believe this is text to video? Yup with version 4 of coachbate's penis laura for LTX-2.3 \" " + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cbd22889-c56b-4a24-9c9c-0a55c1dd48db/original=true/129031286.mp4", + "nsfwLevel": 16, + "width": 396, + "height": 704, + "hash": "UGEdt+WB^h-T}?RkxZsoI=I;WVR+-noLt6xZ", + "type": "video", + "metadata": { + "hash": "UGEdt+WB^h-T}?RkxZsoI=I;WVR+-noLt6xZ", + "size": 40243996, + "audio": false, + "width": 396, + "height": 704, + "duration": 16.02 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "as narrator says \"version 4 with 22 thousand steps using AI Toolkit and LTX-2.3\", we see \nhandsome muscular naked man in steamy wooden sauna, legs spread, thick long erect penis (bwc) pointing upward, detailed realistic penis anatomy, swollen flared mushroom glans head, prominent corona ridge, clear defined glans edge separation from shaft, urethral opening slit visible, glossy wet glans texture, prominent modern veins on shaft, right hand gripping firmly at thick base. 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Soft golden steam haze, sweat beads, hyper-realistic skin pores and glans details, zen spa music with chimes." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/43bbc214-df67-49b0-8c26-9099c744b5f8/original=true/129031272.mp4", + "nsfwLevel": 16, + "width": 704, + "height": 1280, + "hash": "UAHTmi~B%LI;={S15QX70fIpNG%1xt-o^*%1", + "type": "video", + "metadata": { + "hash": "UAHTmi~B%LI;={S15QX70fIpNG%1xt-o^*%1", + "size": 2852250, + "audio": false, + "width": 704, + "height": 1280, + "duration": 4.865 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "ominent corona ridge, clear defined glans edge separation from shaft, urethral opening slit visible, glossy wet glans texture, prominent modern veins on shaft, right hand gripping firmly at thick base. Camera slowly pushes in to close-up on penis glans, fresh semi-translucent white gooey cum released a few feet in the air before landing back down on him, accumulating in a puddle of cum, as he repeats the cum shot over and over. Soft golden steam haze, sweat beads, zen spa music with chimes. he says \"version 4 of coachbate's penis laura for LTX-2.3 - check it out\"" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2903097", + "creator": { + "username": "coachbate", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/673c236f-4afd-4d9a-a519-5e982339dfd9/width=96/coachbate.jpeg" + } + }, + "tags": [ + "concept", + "gay", + "penis", + "male", + "ltx-2", + "ltx-2.3" + ], + "modelDescription": "LTX-2
I was the first to come out with an LTX-2 penis lora, and now you have several to choose from. Mine can be used to create penises from scratch (t2v) or to keep them from disappearing if you already have one (i2v). Text to video is more likely to create ugly dicks than image to video, so I recommend using one of my many image LoRAs to get your dick in your pic (Qwen or Z Image Base are best quality for my LoRAs). Version history:
Version 1 - 650 images for 35,000 steps with the LTX trainer.
Version 2 - added videos to the version 1 images LoRA using the LTX trainer. It ended up being overbaked with dozens of checkpoints saved. I'm reluctant to release it, but it may be useful for image to video where you want a cumshot
Version 3 - this version was trained with the same image dataset as the rest of my current penis LoRAs as well as 55 videos, 512x512 x 121 assembled for training version 2. I used AI Toolkit and started all over again. I overbaked but saved snapshots along the way and rolled back and decreased the learning rate, and I am using the checkpoint from ~17k steps for this version 3 of the LoRA.
Version 4 - trained on improved captions, more videos. Fixed the audio issue so you don't need to use the Advanced Lora Loader on it to mute out any noise (there's no noise). This can do natural cumshots, but you can pair with a cum LoRA if you want anything more fun.
Check out these workflows that have renewed my faith in this model being actually useful: https://huggingface.co/RuneXX/LTX-2.3-Workflows
Grok, Venice, or a locally version of Qwen 3 VL abliterated model on Ollama can create filthy NSFW prompts for you for use with these models.
I welcome feedback but don't be a douche. If you're looking for chicks with dicks or uncut penises, I'm not the right creator for you. I create what I like, so sorry chicks with dicks and uncut penis lovers, not my thing. You're in luck because this site is full of that. Do let me know if you are able to prompt my stuff into doing sometime outside of the box pun intended with my creations.
Version 1 required more detailed prompts to get good text to video results. You can also use my or other penis loras for image models to create your keyframes with penis in there, then animate them with this LoRA.
NOTE for version 3:
I selected the option to train the audio from the video clips but the results just sound terrible and the white noise will dominate. You can turn off the audio from my LoRA with the LTX2 LoRA Loader Advanced node from comfyui-kjnodes. Set the video_to_audio, audio, and audio_to_video multipliers to 0 as shown in this screenshot. https://civitai.com/images/121955512 Resolved in version 4 without this workaround
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"from_civitai": true, + "civitai": { + "id": 2090344, + "modelId": 1585622, + "name": "2.2 Lightning I2V L", + "nsfwLevel": 60, + "createdAt": "2025-08-07T14:32:11.977Z", + "updatedAt": "2025-10-30T16:39:27.479Z", + "status": "Published", + "publishedAt": "2025-08-07T14:51:10.653Z", + "trainedWords": [], + "trainingStatus": null, + "trainingDetails": null, + "baseModel": "Wan Video 2.2 I2V-A14B", + "baseModelType": "Standard", + "earlyAccessEndsAt": null, + "earlyAccessConfig": null, + "description": null, + "uploadType": "Created", + "usageControl": "Download", + "air": "urn:air:wanvideo-22-i2v-a14b:lora:civitai:1585622@2090344", + "stats": { + "downloadCount": 8322, + "thumbsUpCount": 458 + }, + "model": { + "name": "Lightning Lora, massive speed up for Wan2.1 / Wan2.2 made by Lightx2v / Kijai", + "type": "LORA", + "nsfw": true, + "poi": false, + "description": "2.2
For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
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For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
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For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
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For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
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For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
", + "tags": [ + "wan", + "distillation", + "base model", + "faster", + "fast", + "distill", + "speed up" + ], + "allowNoCredit": true, + "allowCommercialUse": [ + "Image", + "RentCivit", + "Rent", + "Sell" + ], + "allowDerivatives": true, + "allowDifferentLicense": true + }, + "files": [ + { + "id": 2204570, + "sizeKB": 615915.140625, + "name": "Wan_2_2_I2V_A14B_HIGH_lightx2v_MoE_distill_lora_rank_64_bf16.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-10-14T19:56:09.142Z", + "metadata": { + "format": "SafeTensor", + "size": null, + "fp": null + }, + "hashes": { + "AutoV1": "047C1DB4", + "AutoV2": "0185333B55", + "SHA256": "0185333B558FC50ED2389B65A204E6A2CEC5CF4C235EC627A3FE577CC7E9CD74", + "CRC32": "1C3B2BF8", + "BLAKE3": "7EDCDD66988ECD7BF79D8B7DC9E13036ED397B00B3BD9876325E9987698E0AF0", + "AutoV3": "5FF75BE48D7E" + }, + "primary": true, + "downloadUrl": "https://civitai.com/api/download/models/2314042" + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e0a997af-0527-4507-b3ef-31c101c69bac/original=true/106385347.mp4", + "nsfwLevel": 1, + "width": 1280, + "height": 720, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 13436088, + "audio": false, + "width": 1280, + "height": 720, + "duration": 45.067 + }, + "minor": false, + "poi": false, + "meta": null, + "availability": "Public", + "hasMeta": false, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2314042", + "creator": { + "username": "Ada321", + "image": "https://lh3.googleusercontent.com/a/AEdFTp7KQS6qlFM5NJJT2yatlV_GaQ0VAzALvBEfwwul=s96-c" + } + }, + "tags": [ + "wan", + "distillation", + "base model", + "faster", + "fast", + "distill", + "speed up" + ], + "modelDescription": "2.2
For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
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For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
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For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
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For use with ComfyUI
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For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
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For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
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For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
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For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
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For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
", + "tags": [ + "wan", + "distillation", + "base model", + "faster", + "fast", + "distill", + "speed up" + ], + "allowNoCredit": true, + "allowCommercialUse": [ + "Image", + "RentCivit", + "Rent", + "Sell" + ], + "allowDerivatives": true, + "allowDifferentLicense": true + }, + "files": [ + { + "id": 1911892, + "sizeKB": 722140.7265625, + "name": "Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64_fixed.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-07-16T05:25:51.128Z", + "metadata": { + "format": "SafeTensor", + "size": null, + "fp": null + }, + "hashes": { + "AutoV1": "64A35455", + "AutoV2": "8833BD4FD7", + "SHA256": "8833BD4FD7C8EABEBF0BC8EE5CFAF47F4F310CE116928A02C1ADF8941DD4B0F1", + "CRC32": "AD93C1ED", + "BLAKE3": "4E3CAE336532110BD92F4A7D219690FC394D85D6706D4FA38F280565580437DB", + "AutoV3": "0F8C37A76C18" + }, + "primary": true, + "downloadUrl": "https://civitai.com/api/download/models/2014449" + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f81cc5b6-f91b-47ef-8b9b-e165a38bb41f/original=true/92227554.mp4", + "nsfwLevel": 4, + "width": 640, + "height": 480, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 2020943, + "audio": false, + "width": 640, + "height": 480, + "duration": 5.131, + "skipScannedAtReassignment": true + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "2d animation of a blindfolded and scantly clothed woman holding a katana in her left hand while standing in the rain amoungst a ruined city, she turns towards the viewer and points the same katana towards them, rain runs down her body, 2b from automata", + "negativePrompt": "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走, talking, speaking, moving mouth" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/dfd06e82-3fb6-4231-803a-b5e5144b824b/original=true/88537061.mp4", + "nsfwLevel": 2, + "width": 480, + "height": 832, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 1959403, + "audio": false, + "width": 480, + "height": 832, + "duration": 5.063 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 1057359483639388, + "steps": 4, + "prompt": "animation of a elf wearing armor and a cape holding a red energy sword in each hand, she turns towards the viewer before pointing one of the swords at them, the sword flares with red energy, a flying hover car passes by in the background from left to right", + "sampler": "LCM", + "cfgScale": 1, + "negativePrompt": "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走, Static, motionless, still, ugly, bad quality, worst quality, poorly drawn, low resolution, blurry, lack of details" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7a9e2a8a-ab7b-425c-b59b-9a660b6aa086/original=true/88538160.mp4", + "nsfwLevel": 16, + "width": 832, + "height": 480, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 2038860, + "audio": false, + "width": 832, + "height": 480, + "duration": 5.063, + "skipScannedAtReassignment": true + }, + "minor": false, + "poi": false, + "meta": { + "seed": 1057359483639388, + "steps": 4, + "prompt": "on the left is a animation of a sitting girl sitting and panting with her tongue out, on the right is a girl performing oral sex, blowjob, fellatio, quick sucks, deep sucks, penis in mouth", + "sampler": "LCM", + "cfgScale": 1, + "negativePrompt": "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走, Static, motionless, still, ugly, bad quality, worst quality, poorly drawn, low resolution, blurry, lack of details" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/2014449", + "creator": { + "username": "Ada321", + "image": "https://lh3.googleusercontent.com/a/AEdFTp7KQS6qlFM5NJJT2yatlV_GaQ0VAzALvBEfwwul=s96-c" + } + }, + "tags": [ + "wan", + "distillation", + "base model", + "faster", + "fast", + "distill", + "speed up" + ], + "modelDescription": "2.2
For I2V this motion helper node is extremely useful:
https://github.com/princepainter/ComfyUI-PainterI2V
10/30 High lora was further refined.
New I2V 1022 versions are out. They have by far the best prompt following / motion quality yet. (The lora key warning is fine, it just contains extra modulation keys that comfyui does not use. It does not matter.)
https://github.com/VraethrDalkr/ComfyUI-TripleKSampler
T2V versions just got updated 09/28. Probably still best to use a step or two with cfg / without the lora to establish motion with high noise as usual like:
2 steps high noise without the low-step lora at 3.5 CFG
2 steps high noise with lora and 1 CFG
2-4 steps low noise with lora and 1 CFG
Its definitely a big improvement either way.
T2V:
Using their full 'dyno' model for your high model seems best.
\"On Sep 28, 2025, we released two models, Wan2.2-T2V-A14B-4steps-lora-250928 and Wan2.2-T2V-A14B-4steps-250928-dyno. The two models share the same low-noise weight. Wan2.2-T2V-A14B-4steps-250928-dyno delivers superior motion rendering and camera response, with object movement speeds that closely match those of the base model. For projects requiring highly dynamic visuals, we strongly recommend using Wan2.2-T2V-A14B-4steps-250928-dyno. Below, you will find some showcases for reference.\"
2.1
7/15 update: I added the new I2V lora, seems to have much better motion than using the old text to video lora on a image to video model. Example is 4 steps, 1 CFG, LCM sampler, 8 shift. I uploaded the new version of the T2V one also.
I'm also putting up the rank 128 versions extracted by Kijai, they are double the size but are slightly better quality.
I suggest using it with the Pusa V1 lora as well, it seems to improve movement even more: https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Pusa
No need for 2 sampler WF anymore IMO. Just plug it into your normal WF with 1 CFG and 4 steps or so. Could prob sharpen it with another pass if you wanted but it no longer hurts the movement like before for image to video.
Full Image to video Lightx2V model: https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/tree/main/distill_models
Old:
lightx2v made a 14B self forcing model that is a massive improvement compared to Causvid / Accvid. Kijai extracted it as a lora. Example above was generated in about 35 seconds on a 4090 using 4 steps, lcm, 1 cfg, 8 shift, still playing with settings to see what is best.
Please don't send me buzz or anything, give the lightx2v team or kijai support if anyone.
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Just uploading this here because I didn't see it on civitai. It's NOT made by me it's made by the amazing lightx2v team. I just downloaded from huggingface and uploaded it for use here.
We are excited to release the distilled version of Wan2.2 video generation model family, which offers the following advantages:
Fast: Video generation now requires only 4 steps without the need of CFG trick, leading to x20 speed-up
High-quality: The distilled model delivers visuals on par with the base model in most scenarios, sometimes even better.
Complex Motion Generation: Despite the reduction to just 4 steps, the model retains excellent motion dynamics in the generated scenes.
Wan2.2-Lightning by lightx2v
Just uploading this here because I didn't see it on civitai. It's NOT made by me it's made by the amazing lightx2v team. I just downloaded from huggingface and uploaded it for use here.
We are excited to release the distilled version of Wan2.2 video generation model family, which offers the following advantages:
Fast: Video generation now requires only 4 steps without the need of CFG trick, leading to x20 speed-up
High-quality: The distilled model delivers visuals on par with the base model in most scenarios, sometimes even better.
Complex Motion Generation: Despite the reduction to just 4 steps, the model retains excellent motion dynamics in the generated scenes.
Wan2.2-Lightning by lightx2v
Just uploading this here because I didn't see it on civitai. It's NOT made by me it's made by the amazing lightx2v team. I just downloaded from huggingface and uploaded it for use here.
We are excited to release the distilled version of Wan2.2 video generation model family, which offers the following advantages:
Fast: Video generation now requires only 4 steps without the need of CFG trick, leading to x20 speed-up
High-quality: The distilled model delivers visuals on par with the base model in most scenarios, sometimes even better.
Complex Motion Generation: Despite the reduction to just 4 steps, the model retains excellent motion dynamics in the generated scenes.
Wan2.2-Lightning by lightx2v
Just uploading this here because I didn't see it on civitai. It's NOT made by me it's made by the amazing lightx2v team. I just downloaded from huggingface and uploaded it for use here.
We are excited to release the distilled version of Wan2.2 video generation model family, which offers the following advantages:
Fast: Video generation now requires only 4 steps without the need of CFG trick, leading to x20 speed-up
High-quality: The distilled model delivers visuals on par with the base model in most scenarios, sometimes even better.
Complex Motion Generation: Despite the reduction to just 4 steps, the model retains excellent motion dynamics in the generated scenes.
8 steps
Cách sử dụng:
•Sampling method: Euler
•Schedule type: Simple
•Sampling steps: 30
Weight: 0.8 - 1.2. Best: 0.8
Instructions for use:
•Sampling method: Euler a
•Schedule type: Simple
•Sampling steps: 30
Weight: 0.8 - 1.2. Best: 0.8
In the prompt, you should use the word: Woman using the word Girl will create many body anatomy errors.
0-0-0-0-0-0-0-0-0-0-0-0
Actually, you will not need the activation keyword for it to work, but you can add it to make Flux understand faster and give better results. ⚡
Note: It works well with FLUX.1-Turbo-Alpha, LORA human face. 👤✨
![](\"https://models-online-persist.shakker.cloud/img/c7d573e4c3d24f97bc7b6c9b5c950091/91665a2d7674a2db4d6181122f9ffde291daf229d8d776e49d4584895d189263.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp\")
Useful and FREE resources:
❤️Free server to make art with Flux: Shakker
✨ More FLUX LORA? List and detailed description of each LORA I implement here: https://maitruclam.com/lora
🆕 First time using FLUX? Explanation and tutorial with A1111 forge offline and Comfy UI here: https://maitruclam.com/flux-ai-la-gi/
🛠️ How to train your LORA with Flux? My detailed instructions are here: https://maitruclam.com/training-flux/
❤️ Donate me (I would be really surprised if you did that! 😄): https://maitruclam.com/donate
Find me / Contact for work on:
📱 Facebook: @maitruclam4real
💬 Discord: @maitruclam
🌐 Web: maitruclam.com
", + "tags": [ + "base model" + ], + "allowNoCredit": true, + "allowCommercialUse": [ + "Image", + "RentCivit", + "Rent", + "Sell" + ], + "allowDerivatives": true, + "allowDifferentLicense": true + }, + "files": [ + { + "id": 871361, + "sizeKB": 677814.8671875, + "name": "FLUX.1-Turbo-Alpha.safetensors", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2024-10-17T03:16:39.644Z", + "metadata": { + "format": "SafeTensor", + "size": null, + "fp": null + }, + "hashes": { + "AutoV1": "BACA6767", + "AutoV2": "77F7523A5E", + "SHA256": "77F7523A5E9C3DA6CFC730C6B07461129FA52997EA06168E9ED5312228AA0BFF", + "CRC32": "E7454EC0", + "BLAKE3": "F16F31717186611D77A3BF35953843BBEA62AE19CAE146BA3374985991B19781", + "AutoV3": "E3838347566E" + }, + "primary": true, + "downloadUrl": "https://civitai.com/api/download/models/964759" + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3d355f6b-24cf-402b-8b7d-99251d30f83e/original=true/35014178.jpeg", + "nsfwLevel": 1, + "width": 768, + "height": 1024, + "hash": "USFrL#t7IVM{~VofIpWBo|WAIos:-:s:V@WV", + "type": "image", + "metadata": { + "hash": "USFrL#t7IVM{~VofIpWBo|WAIos:-:s:V@WV", + "size": 1145417, + "width": 768, + "height": 1024 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 953776127511437, + "vaes": [ + "ae.safetensors" + ], + "steps": 10, + "width": 768, + "height": 1024, + "models": [], + "denoise": 1, + "sampler": "Euler", + "cfgScale": 3.5, + "modelIds": [], + "scheduler": "normal", + "upscalers": [], + "versionIds": [], + "controlNets": [], + "additionalResources": [ + { + "name": "lora/lamAni_by_Lam_f1.safetensors", + "type": "lora", + "strength": 1, + "strengthClip": 1 + }, + { + "name": "FLUX.1-Turbo-Alpha.safetensors", + "type": "lora", + "strength": 1 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/be9afa3a-f1b2-4ad1-a129-cdd909e9df68/original=true/35014177.jpeg", + "nsfwLevel": 1, + "width": 768, + "height": 1024, + "hash": "UCBMb.bIT0Ne}=t6EMM|%0xsj@s:-oo0$%NH", + "type": "image", + "metadata": { + "hash": "UCBMb.bIT0Ne}=t6EMM|%0xsj@s:-oo0$%NH", + "size": 1235770, + "width": 768, + "height": 1024 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 619894254406106, + "vaes": [ + "ae.safetensors" + ], + "steps": 8, + "width": 768, + "height": 1024, + "models": [], + "denoise": 1, + "sampler": "Euler", + "cfgScale": 3.5, + "modelIds": [], + "scheduler": "normal", + "upscalers": [], + "versionIds": [], + "controlNets": [], + "additionalResources": [ + { + "name": "lora/lamAni_by_Lam_f1.safetensors", + "type": "lora", + "strength": 1, + "strengthClip": 1 + }, + { + "name": "FLUX.1-Turbo-Alpha.safetensors", + "type": "lora", + "strength": 1 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f972a7d8-ff9c-4fa2-a328-368b7b3dbe3e/original=true/35014180.jpeg", + "nsfwLevel": 1, + "width": 768, + "height": 1024, + "hash": "UHF79$$dFiO=r8$ecYOF4Togv|XS*Hj?Roxt", + "type": "image", + "metadata": { + "hash": "UHF79$$dFiO=r8$ecYOF4Togv|XS*Hj?Roxt", + "size": 1507605, + "width": 768, + "height": 1024 + }, + "minor": false, + "poi": false, + "meta": { + "seed": 1041559206116810, + "vaes": [ + "ae.safetensors" + ], + "steps": 8, + "width": 768, + "height": 1024, + "models": [], + "denoise": 1, + "sampler": "Euler", + "cfgScale": 3.5, + "modelIds": [], + "scheduler": "normal", + "upscalers": [], + "versionIds": [], + "controlNets": [], + "additionalResources": [ + { + "name": "lora/lamAni_by_Lam_f1.safetensors", + "type": "lora", + "strength": 1, + "strengthClip": 1 + }, + { + "name": "FLUX.1-Turbo-Alpha.safetensors", + "type": "lora", + "strength": 1 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": false, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.com/api/download/models/964759", + "creator": { + "username": "maitruclam", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bb86f175-e7de-4a92-9f37-88717234327e/width=96/maitruclam.jpeg" + } + }, + "tags": [ + "base model" + ], + "modelDescription": "8 steps
Cách sử dụng:
•Sampling method: Euler
•Schedule type: Simple
•Sampling steps: 30
Weight: 0.8 - 1.2. Best: 0.8
Instructions for use:
•Sampling method: Euler a
•Schedule type: Simple
•Sampling steps: 30
Weight: 0.8 - 1.2. Best: 0.8
In the prompt, you should use the word: Woman using the word Girl will create many body anatomy errors.
0-0-0-0-0-0-0-0-0-0-0-0
Actually, you will not need the activation keyword for it to work, but you can add it to make Flux understand faster and give better results. ⚡
Note: It works well with FLUX.1-Turbo-Alpha, LORA human face. 👤✨
Useful and FREE resources:
❤️Free server to make art with Flux: Shakker
✨ More FLUX LORA? List and detailed description of each LORA I implement here: https://maitruclam.com/lora
🆕 First time using FLUX? Explanation and tutorial with A1111 forge offline and Comfy UI here: https://maitruclam.com/flux-ai-la-gi/
🛠️ How to train your LORA with Flux? My detailed instructions are here: https://maitruclam.com/training-flux/
❤️ Donate me (I would be really surprised if you did that! 😄): https://maitruclam.com/donate
Find me / Contact for work on:
📱 Facebook: @maitruclam4real
💬 Discord: @maitruclam
🌐 Web: maitruclam.com
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Starting conversion to FP16...") + +# Convert all tensors to FP16 +converted_state_dict = {} +for key, value in state_dict.items(): + if isinstance(value, torch.Tensor): + converted_state_dict[key] = value.to(torch.float16) + else: + converted_state_dict[key] = value # keep non-tensor items as-is (rare) + +# Optional: clean up any NaN / inf values that sometimes appear after casting +# Uncomment if you get warnings or bad generations later +# for key in converted_state_dict: +# if isinstance(converted_state_dict[key], torch.Tensor): +# converted_state_dict[key] = torch.nan_to_num( +# converted_state_dict[key], +# nan=0.0, +# posinf=1e4, +# neginf=-1e4 +# ) + +print(f"Saving converted model to: {output_path}") +torch.save(converted_state_dict, output_path) +print(f"Done! Converted FP16 model saved as: {output_path}") + +# Quick size check (optional - helps confirm it didn't explode in memory) +total_params = sum(p.numel() for p in converted_state_dict.values() if isinstance(p, torch.Tensor)) +print(f"Total parameters: {total_params:,}") +print(f"Approximate FP16 size on disk: ~{total_params * 2 / 1024**3:.1f} GB") \ No newline at end of file diff --git a/text_encoders/convert_umt.py b/text_encoders/convert_umt.py new file mode 100644 index 0000000000000000000000000000000000000000..3099624150b1791bb3883b70f58ac88b0aae6938 --- /dev/null +++ b/text_encoders/convert_umt.py @@ -0,0 +1,28 @@ +import torch +from safetensors.torch import load_file, save_file + +# Paths - adjust these +input_path = "nsfw_wan_umt5-xxl_bf16.safetensors" # your BF16 file +output_path = "nsfw_wan_umt5-xxl_fp16.safetensors" # desired output + +# Load the state dict (safetensors format) +state_dict = load_file(input_path, device='cpu') + +# Convert all tensors to FP16 +converted_state_dict = {} +for key, value in state_dict.items(): + if isinstance(value, torch.Tensor): + # Cast to FP16; use .to(torch.float16) or .half() + converted_state_dict[key] = value.to(torch.float16) + else: + converted_state_dict[key] = value # rare non-tensor items + +# Optional: If you see any warnings about non-finite values, you can add clamping/cleanup +# for key in converted_state_dict: +# if isinstance(converted_state_dict[key], torch.Tensor): +# converted_state_dict[key] = torch.nan_to_num(converted_state_dict[key], nan=0.0, posinf=1e4, neginf=-1e4) + +# Save as new safetensors +save_file(converted_state_dict, output_path) + +print(f"Converted and saved to: {output_path}") \ No newline at end of file diff --git a/text_encoders/convert_umt2.py b/text_encoders/convert_umt2.py new file mode 100644 index 0000000000000000000000000000000000000000..1a4b9e7574896d23cbea5ab7cbe15ee17152c8d1 --- /dev/null +++ b/text_encoders/convert_umt2.py @@ -0,0 +1,28 @@ +import torch +from safetensors.torch import load_file, save_file + +# Paths - adjust these +input_path = "models_t5_umt5-xxl-enc-bf16_fully_uncensored.safetensors" # your BF16 file +output_path = "models_t5_umt5-xxl-enc-fp16_fully_uncensored.safetensors" # desired output + +# Load the state dict (safetensors format) +state_dict = load_file(input_path, device='cpu') + +# Convert all tensors to FP16 +converted_state_dict = {} +for key, value in state_dict.items(): + if isinstance(value, torch.Tensor): + # Cast to FP16; use .to(torch.float16) or .half() + converted_state_dict[key] = value.to(torch.float16) + else: + converted_state_dict[key] = value # rare non-tensor items + +# Optional: If you see any warnings about non-finite values, you can add clamping/cleanup +# for key in converted_state_dict: +# if isinstance(converted_state_dict[key], torch.Tensor): +# converted_state_dict[key] = torch.nan_to_num(converted_state_dict[key], nan=0.0, posinf=1e4, neginf=-1e4) + +# Save as new safetensors 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"trainingDetails": null, + "baseModel": "Wan Video 2.2 I2V-A14B", + "baseModelType": "Standard", + "earlyAccessEndsAt": null, + "earlyAccessConfig": { + "timeframe": 0, + "downloadPrice": 2500, + "chargeForDownload": true, + "originalTimeframe": "15", + "chargeForGeneration": false, + "donationGoalEnabled": false, + "originalPublishedAt": "2026-03-16T15:00:00", + "generationTrialLimit": 10 + }, + "description": null, + "uploadType": "Created", + "usageControl": "Download", + "licensingFee": null, + "air": "urn:air:wanvideo-22-i2v-a14b:checkpoint:civitai:2456413@2762049", + "stats": { + "downloadCount": 3909, + "thumbsUpCount": 258 + }, + "model": { + "name": "💀💋 DaSiWa-WAN 2.2 I2V 14B BoundBite v10 | Lightspeed | GGUF 💋💀", + "type": "Checkpoint", + "nsfw": false, + "poi": false, + "description": "💀💋 DaSiWa-WAN 2.2 I2V 14B BoundBite v10 | Lightspeed | GGUF 💋💀
GGUF Version of the model.
This is a WAN 2.2 Model: You will need one pair of High + Low.
Version overview: https://civitai.com/articles/23495/dasiwa-model-versions-and-timeline
🔮 Key Features:
🔥 LoRA-Free Generations
Generate high-quality videos without stacking Wan 2.2 LoRAs (unless you want adding spacial styles/concepts).☄️Fast: 4 step generation
💫Quality motions (less slowdowns, no pixelated hyper-motion)
🔞 NSFW and SFW + Extreme versatile (more build in concepts):
Enhanced anatomy + poses + framing
Better understanding of sexual concepts
🪄 Better prompt responsiveness
👘 Better understanding of anime/manga style composition
🪡 Q8 (FP16 base) precision
🚫 Do not use any extra speed-up (low step) LoRAs, this is baked in already
✅ Optimizations
❤️🔥 New level of prompt adherence
🧠 Enabling intuitive reasoning over motion, interaction, and causality (VBVR)
🧪 Best distillation (mixed distillation experts)
💫 Stable and fast motions - without sacrificing quality
🎥 Enhanced camera and motion control
🪄 Best in-class details even on low resolution
💎 Consistent details over the full video (almost never detail shift)
🎊 Better special effects from prompts
👁️🗨️ Better eye details
🎬 Highly dynamic video composition
👘 Strengthened visual consistency/understanding for anime
🧩 Even more stable LoRa compatibility
🫦 Better NSFW understanding, without raising bias too far
😵💫 Reduced some hallucinations
🌩️ Less flashy frames
🫨 No camera drift
🚫Excluded CLIP
🍒Workflow
Make sure to checkout my easy to use Workflows!
🍄LoRA's
Try first without additional LoRAs!
But: This checkpoint is not meant to replace all LoRAs, it is meant to:
Perform better overall at his own
As easy as possible to use
With LoRAs to be absolutely awesome
🪧Announcement
⚠️ Read the corresponding announcement.
📢 Make sure to check it out for in-depth information and a complex comparison!
🆕 New to WAN 2.2 I2V? - Check out my guide.
🛠️ Recommended Settings
Steps: 4
CFG: 1
Sampler/Scheduler: Euler/Simple, UniPC_BH2/Simple
Resolution up to 720p (native quality).
Add other LoRAs with 0.3 - 0.6 at first
16 or 24 fps, 81 or 97 frames ~ 5s
Dependencies
🩻 Known issues
🫦 Bites!
Tell me 🫵🫢
Approximate expected quality from quantization
This are my tests compared to a full fp16 safetensor checkpoint taking prompt- and visual satisfaction into account on my DaSiWa checkpoints.
Quantization - Quality estimation
Q8 ⭐⭐⭐⭐⭐ ~ like FP16/FP8+, excellent results
Q6 ⭐⭐⭐⭐ ~ like FP8, very good results
Q5 ⭐⭐⭐ ~ good to very good results
Q4 ⭐⭐ ~ medium-good results
Q2 ⭐ ~ poor results, only use if you have to
⚠️ Do not compare this with the unofficial quants of my checkpoint made by others, they are based on FP8 and not FP16 like my quants.
🩺 Fixes & Feedback
If you use LoRAs, try to respect the LoRA training triggers and try some versatile descriptions, most LoRAs will work with 0.3-0.6 (start with 0.3)
Raise LoRAs in little steps +0.1
Do not mass add LoRAs, just add 1 or 2 (x2 High+Low)
Negative prompting do not work with cfg 1, that's a limitation of speed-ups with cfg 1 (except you use NAG)
Low resolution (e.g.384x576) are for fast samples and will blur fine details, do a higher resolution if you want clear details
🪧❗ Test your comfyui-backend with this absolute basic test-workflow before asking about errors.
🖤 Why I Made This
I was tired of using all these massive list of LoRAs, just to get a remotely good result after 10 generations, consuming hours of time.
So I can just make my videos with 1 or 2 concept LoRAs without pushing 6 till 10 LoRAs (Low/High) into a generation.
This checkpoint is also my personal playground.
Closing words
🤩 I want to thank all the fantastic other creators who made super nice LoRAs and concepts to play with! Support that awesome creators by using their LoRAs and post to their gallery and share the meta-data!
⚠️ I made all this with permissions or open-source resources (the time it is incorporated).
I share as much insights as I can without compromising my work. I'm doing this for fun as my hobby and just do not want my hobby to be destroyed.
More details can be obtained in the corresponding announcements!
If you would like to contribute in my awesome (😉) checkpoint or willing to share resources I'll gladly give credit! Just contact me!
✅ All credits / resources are mentioned inside the announcements! - Since different versions may have different resources.
YOU are responsible for outputs as always! If you make ToS violating content and I get aware I WILL report this.
Disclaimer
This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.
Custom License Addendum: Distribution Restriction
Notice: Notwithstanding the base license selected for this model, the following restrictive terms apply:
No Redistribution: You are not permitted to host, mirror, or redistribute this model (checkpoint, LoRA, or Safetensors files) on any other platform, website, or service (including but not limited to Hugging Face, Tensor.art, or SeaArt) without explicit written permission from the creator.
Attribution & Source: This model is officially maintained only on Civitai or other platforms where I explicitly own the repository. To ensure users receive the correct version, updates, and safety metadata, please point users to the original URL.
Usage: All other rights regarding the use of the model for image generation remain as per the terms and the restrictions provided per model.
💀💋 DaSiWa-WAN 2.2 I2V 14B BoundBite v10 | Lightspeed | GGUF 💋💀
GGUF Version of the model.
This is a WAN 2.2 Model: You will need one pair of High + Low.
Version overview: https://civitai.com/articles/23495/dasiwa-model-versions-and-timeline
🔮 Key Features:
🔥 LoRA-Free Generations
Generate high-quality videos without stacking Wan 2.2 LoRAs (unless you want adding spacial styles/concepts).☄️Fast: 4 step generation
💫Quality motions (less slowdowns, no pixelated hyper-motion)
🔞 NSFW and SFW + Extreme versatile (more build in concepts):
Enhanced anatomy + poses + framing
Better understanding of sexual concepts
🪄 Better prompt responsiveness
👘 Better understanding of anime/manga style composition
🪡 Q8 (FP16 base) precision
🚫 Do not use any extra speed-up (low step) LoRAs, this is baked in already
✅ Optimizations
❤️🔥 New level of prompt adherence
🧠 Enabling intuitive reasoning over motion, interaction, and causality (VBVR)
🧪 Best distillation (mixed distillation experts)
💫 Stable and fast motions - without sacrificing quality
🎥 Enhanced camera and motion control
🪄 Best in-class details even on low resolution
💎 Consistent details over the full video (almost never detail shift)
🎊 Better special effects from prompts
👁️🗨️ Better eye details
🎬 Highly dynamic video composition
👘 Strengthened visual consistency/understanding for anime
🧩 Even more stable LoRa compatibility
🫦 Better NSFW understanding, without raising bias too far
😵💫 Reduced some hallucinations
🌩️ Less flashy frames
🫨 No camera drift
🚫Excluded CLIP
🍒Workflow
Make sure to checkout my easy to use Workflows!
🍄LoRA's
Try first without additional LoRAs!
But: This checkpoint is not meant to replace all LoRAs, it is meant to:
Perform better overall at his own
As easy as possible to use
With LoRAs to be absolutely awesome
🪧Announcement
⚠️ Read the corresponding announcement.
📢 Make sure to check it out for in-depth information and a complex comparison!
🆕 New to WAN 2.2 I2V? - Check out my guide.
🛠️ Recommended Settings
Steps: 4
CFG: 1
Sampler/Scheduler: Euler/Simple, UniPC_BH2/Simple
Resolution up to 720p (native quality).
Add other LoRAs with 0.3 - 0.6 at first
16 or 24 fps, 81 or 97 frames ~ 5s
Dependencies
🩻 Known issues
🫦 Bites!
Tell me 🫵🫢
Approximate expected quality from quantization
This are my tests compared to a full fp16 safetensor checkpoint taking prompt- and visual satisfaction into account on my DaSiWa checkpoints.
Quantization - Quality estimation
Q8 ⭐⭐⭐⭐⭐ ~ like FP16/FP8+, excellent results
Q6 ⭐⭐⭐⭐ ~ like FP8, very good results
Q5 ⭐⭐⭐ ~ good to very good results
Q4 ⭐⭐ ~ medium-good results
Q2 ⭐ ~ poor results, only use if you have to
⚠️ Do not compare this with the unofficial quants of my checkpoint made by others, they are based on FP8 and not FP16 like my quants.
🩺 Fixes & Feedback
If you use LoRAs, try to respect the LoRA training triggers and try some versatile descriptions, most LoRAs will work with 0.3-0.6 (start with 0.3)
Raise LoRAs in little steps +0.1
Do not mass add LoRAs, just add 1 or 2 (x2 High+Low)
Negative prompting do not work with cfg 1, that's a limitation of speed-ups with cfg 1 (except you use NAG)
Low resolution (e.g.384x576) are for fast samples and will blur fine details, do a higher resolution if you want clear details
🪧❗ Test your comfyui-backend with this absolute basic test-workflow before asking about errors.
🖤 Why I Made This
I was tired of using all these massive list of LoRAs, just to get a remotely good result after 10 generations, consuming hours of time.
So I can just make my videos with 1 or 2 concept LoRAs without pushing 6 till 10 LoRAs (Low/High) into a generation.
This checkpoint is also my personal playground.
Closing words
🤩 I want to thank all the fantastic other creators who made super nice LoRAs and concepts to play with! Support that awesome creators by using their LoRAs and post to their gallery and share the meta-data!
⚠️ I made all this with permissions or open-source resources (the time it is incorporated).
I share as much insights as I can without compromising my work. I'm doing this for fun as my hobby and just do not want my hobby to be destroyed.
More details can be obtained in the corresponding announcements!
If you would like to contribute in my awesome (😉) checkpoint or willing to share resources I'll gladly give credit! Just contact me!
✅ All credits / resources are mentioned inside the announcements! - Since different versions may have different resources.
YOU are responsible for outputs as always! If you make ToS violating content and I get aware I WILL report this.
Disclaimer
This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.
Custom License Addendum: Distribution Restriction
Notice: Notwithstanding the base license selected for this model, the following restrictive terms apply:
No Redistribution: You are not permitted to host, mirror, or redistribute this model (checkpoint, LoRA, or Safetensors files) on any other platform, website, or service (including but not limited to Hugging Face, Tensor.art, or SeaArt) without explicit written permission from the creator.
Attribution & Source: This model is officially maintained only on Civitai or other platforms where I explicitly own the repository. To ensure users receive the correct version, updates, and safety metadata, please point users to the original URL.
Usage: All other rights regarding the use of the model for image generation remain as per the terms and the restrictions provided per model.
💀💋 DaSiWa-WAN 2.2 I2V 14B BoundBite v10 | Lightspeed | GGUF 💋💀
GGUF Version of the model.
This is a WAN 2.2 Model: You will need one pair of High + Low.
Version overview: https://civitai.com/articles/23495/dasiwa-model-versions-and-timeline
🔮 Key Features:
🔥 LoRA-Free Generations
Generate high-quality videos without stacking Wan 2.2 LoRAs (unless you want adding spacial styles/concepts).☄️Fast: 4 step generation
💫Quality motions (less slowdowns, no pixelated hyper-motion)
🔞 NSFW and SFW + Extreme versatile (more build in concepts):
Enhanced anatomy + poses + framing
Better understanding of sexual concepts
🪄 Better prompt responsiveness
👘 Better understanding of anime/manga style composition
🪡 Q8 (FP16 base) precision
🚫 Do not use any extra speed-up (low step) LoRAs, this is baked in already
✅ Optimizations
❤️🔥 New level of prompt adherence
🧠 Enabling intuitive reasoning over motion, interaction, and causality (VBVR)
🧪 Best distillation (mixed distillation experts)
💫 Stable and fast motions - without sacrificing quality
🎥 Enhanced camera and motion control
🪄 Best in-class details even on low resolution
💎 Consistent details over the full video (almost never detail shift)
🎊 Better special effects from prompts
👁️🗨️ Better eye details
🎬 Highly dynamic video composition
👘 Strengthened visual consistency/understanding for anime
🧩 Even more stable LoRa compatibility
🫦 Better NSFW understanding, without raising bias too far
😵💫 Reduced some hallucinations
🌩️ Less flashy frames
🫨 No camera drift
🚫Excluded CLIP
🍒Workflow
Make sure to checkout my easy to use Workflows!
🍄LoRA's
Try first without additional LoRAs!
But: This checkpoint is not meant to replace all LoRAs, it is meant to:
Perform better overall at his own
As easy as possible to use
With LoRAs to be absolutely awesome
🪧Announcement
⚠️ Read the corresponding announcement.
📢 Make sure to check it out for in-depth information and a complex comparison!
🆕 New to WAN 2.2 I2V? - Check out my guide.
🛠️ Recommended Settings
Steps: 4
CFG: 1
Sampler/Scheduler: Euler/Simple, UniPC_BH2/Simple
Resolution up to 720p (native quality).
Add other LoRAs with 0.3 - 0.6 at first
16 or 24 fps, 81 or 97 frames ~ 5s
Dependencies
🩻 Known issues
🫦 Bites!
Tell me 🫵🫢
Approximate expected quality from quantization
This are my tests compared to a full fp16 safetensor checkpoint taking prompt- and visual satisfaction into account on my DaSiWa checkpoints.
Quantization - Quality estimation
Q8 ⭐⭐⭐⭐⭐ ~ like FP16/FP8+, excellent results
Q6 ⭐⭐⭐⭐ ~ like FP8, very good results
Q5 ⭐⭐⭐ ~ good to very good results
Q4 ⭐⭐ ~ medium-good results
Q2 ⭐ ~ poor results, only use if you have to
⚠️ Do not compare this with the unofficial quants of my checkpoint made by others, they are based on FP8 and not FP16 like my quants.
🩺 Fixes & Feedback
If you use LoRAs, try to respect the LoRA training triggers and try some versatile descriptions, most LoRAs will work with 0.3-0.6 (start with 0.3)
Raise LoRAs in little steps +0.1
Do not mass add LoRAs, just add 1 or 2 (x2 High+Low)
Negative prompting do not work with cfg 1, that's a limitation of speed-ups with cfg 1 (except you use NAG)
Low resolution (e.g.384x576) are for fast samples and will blur fine details, do a higher resolution if you want clear details
🪧❗ Test your comfyui-backend with this absolute basic test-workflow before asking about errors.
🖤 Why I Made This
I was tired of using all these massive list of LoRAs, just to get a remotely good result after 10 generations, consuming hours of time.
So I can just make my videos with 1 or 2 concept LoRAs without pushing 6 till 10 LoRAs (Low/High) into a generation.
This checkpoint is also my personal playground.
Closing words
🤩 I want to thank all the fantastic other creators who made super nice LoRAs and concepts to play with! Support that awesome creators by using their LoRAs and post to their gallery and share the meta-data!
⚠️ I made all this with permissions or open-source resources (the time it is incorporated).
I share as much insights as I can without compromising my work. I'm doing this for fun as my hobby and just do not want my hobby to be destroyed.
More details can be obtained in the corresponding announcements!
If you would like to contribute in my awesome (😉) checkpoint or willing to share resources I'll gladly give credit! Just contact me!
✅ All credits / resources are mentioned inside the announcements! - Since different versions may have different resources.
YOU are responsible for outputs as always! If you make ToS violating content and I get aware I WILL report this.
Disclaimer
This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.
Custom License Addendum: Distribution Restriction
Notice: Notwithstanding the base license selected for this model, the following restrictive terms apply:
No Redistribution: You are not permitted to host, mirror, or redistribute this model (checkpoint, LoRA, or Safetensors files) on any other platform, website, or service (including but not limited to Hugging Face, Tensor.art, or SeaArt) without explicit written permission from the creator.
Attribution & Source: This model is officially maintained only on Civitai or other platforms where I explicitly own the repository. To ensure users receive the correct version, updates, and safety metadata, please point users to the original URL.
Usage: All other rights regarding the use of the model for image generation remain as per the terms and the restrictions provided per model.
💀💋 DaSiWa-WAN 2.2 I2V 14B BoundBite v10 | Lightspeed | GGUF 💋💀
GGUF Version of the model.
This is a WAN 2.2 Model: You will need one pair of High + Low.
Version overview: https://civitai.com/articles/23495/dasiwa-model-versions-and-timeline
🔮 Key Features:
🔥 LoRA-Free Generations
Generate high-quality videos without stacking Wan 2.2 LoRAs (unless you want adding spacial styles/concepts).☄️Fast: 4 step generation
💫Quality motions (less slowdowns, no pixelated hyper-motion)
🔞 NSFW and SFW + Extreme versatile (more build in concepts):
Enhanced anatomy + poses + framing
Better understanding of sexual concepts
🪄 Better prompt responsiveness
👘 Better understanding of anime/manga style composition
🪡 Q8 (FP16 base) precision
🚫 Do not use any extra speed-up (low step) LoRAs, this is baked in already
✅ Optimizations
❤️🔥 New level of prompt adherence
🧠 Enabling intuitive reasoning over motion, interaction, and causality (VBVR)
🧪 Best distillation (mixed distillation experts)
💫 Stable and fast motions - without sacrificing quality
🎥 Enhanced camera and motion control
🪄 Best in-class details even on low resolution
💎 Consistent details over the full video (almost never detail shift)
🎊 Better special effects from prompts
👁️🗨️ Better eye details
🎬 Highly dynamic video composition
👘 Strengthened visual consistency/understanding for anime
🧩 Even more stable LoRa compatibility
🫦 Better NSFW understanding, without raising bias too far
😵💫 Reduced some hallucinations
🌩️ Less flashy frames
🫨 No camera drift
🚫Excluded CLIP
🍒Workflow
Make sure to checkout my easy to use Workflows!
🍄LoRA's
Try first without additional LoRAs!
But: This checkpoint is not meant to replace all LoRAs, it is meant to:
Perform better overall at his own
As easy as possible to use
With LoRAs to be absolutely awesome
🪧Announcement
⚠️ Read the corresponding announcement.
📢 Make sure to check it out for in-depth information and a complex comparison!
🆕 New to WAN 2.2 I2V? - Check out my guide.
🛠️ Recommended Settings
Steps: 4
CFG: 1
Sampler/Scheduler: Euler/Simple, UniPC_BH2/Simple
Resolution up to 720p (native quality).
Add other LoRAs with 0.3 - 0.6 at first
16 or 24 fps, 81 or 97 frames ~ 5s
Dependencies
🩻 Known issues
🫦 Bites!
Tell me 🫵🫢
Approximate expected quality from quantization
This are my tests compared to a full fp16 safetensor checkpoint taking prompt- and visual satisfaction into account on my DaSiWa checkpoints.
Quantization - Quality estimation
Q8 ⭐⭐⭐⭐⭐ ~ like FP16/FP8+, excellent results
Q6 ⭐⭐⭐⭐ ~ like FP8, very good results
Q5 ⭐⭐⭐ ~ good to very good results
Q4 ⭐⭐ ~ medium-good results
Q2 ⭐ ~ poor results, only use if you have to
⚠️ Do not compare this with the unofficial quants of my checkpoint made by others, they are based on FP8 and not FP16 like my quants.
🩺 Fixes & Feedback
If you use LoRAs, try to respect the LoRA training triggers and try some versatile descriptions, most LoRAs will work with 0.3-0.6 (start with 0.3)
Raise LoRAs in little steps +0.1
Do not mass add LoRAs, just add 1 or 2 (x2 High+Low)
Negative prompting do not work with cfg 1, that's a limitation of speed-ups with cfg 1 (except you use NAG)
Low resolution (e.g.384x576) are for fast samples and will blur fine details, do a higher resolution if you want clear details
🪧❗ Test your comfyui-backend with this absolute basic test-workflow before asking about errors.
🖤 Why I Made This
I was tired of using all these massive list of LoRAs, just to get a remotely good result after 10 generations, consuming hours of time.
So I can just make my videos with 1 or 2 concept LoRAs without pushing 6 till 10 LoRAs (Low/High) into a generation.
This checkpoint is also my personal playground.
Closing words
🤩 I want to thank all the fantastic other creators who made super nice LoRAs and concepts to play with! Support that awesome creators by using their LoRAs and post to their gallery and share the meta-data!
⚠️ I made all this with permissions or open-source resources (the time it is incorporated).
I share as much insights as I can without compromising my work. I'm doing this for fun as my hobby and just do not want my hobby to be destroyed.
More details can be obtained in the corresponding announcements!
If you would like to contribute in my awesome (😉) checkpoint or willing to share resources I'll gladly give credit! Just contact me!
✅ All credits / resources are mentioned inside the announcements! - Since different versions may have different resources.
YOU are responsible for outputs as always! If you make ToS violating content and I get aware I WILL report this.
Disclaimer
This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.
Custom License Addendum: Distribution Restriction
Notice: Notwithstanding the base license selected for this model, the following restrictive terms apply:
No Redistribution: You are not permitted to host, mirror, or redistribute this model (checkpoint, LoRA, or Safetensors files) on any other platform, website, or service (including but not limited to Hugging Face, Tensor.art, or SeaArt) without explicit written permission from the creator.
Attribution & Source: This model is officially maintained only on Civitai or other platforms where I explicitly own the repository. To ensure users receive the correct version, updates, and safety metadata, please point users to the original URL.
Usage: All other rights regarding the use of the model for image generation remain as per the terms and the restrictions provided per model.
High version
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Consider using this with the Lightning-LoRAs for speed up (just read the description carefully!)
Just the basic WAN 2.2 as GGUF - No support.
YOU are responsible for outputs as always! If you make ToS violating content and I get aware I WILL report this.
Disclaimer
This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.
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Consider using this with the Lightning-LoRAs for speed up (just read the description carefully!)
Just the basic WAN 2.2 as GGUF - No support.
YOU are responsible for outputs as always! If you make ToS violating content and I get aware I WILL report this.
Disclaimer
This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.
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Consider using this with the Lightning-LoRAs for speed up (just read the description carefully!)
Just the basic WAN 2.2 as GGUF - No support.
YOU are responsible for outputs as always! If you make ToS violating content and I get aware I WILL report this.
Disclaimer
This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.
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Consider using this with the Lightning-LoRAs for speed up (just read the description carefully!)
Just the basic WAN 2.2 as GGUF - No support.
YOU are responsible for outputs as always! If you make ToS violating content and I get aware I WILL report this.
Disclaimer
This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.
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", + "uploadType": "Created", + "usageControl": "Download", + "licensingFee": null, + "air": "urn:air:wanvideo-22-i2v-a14b:checkpoint:civitai:2086218@2360922", + "stats": { + "downloadCount": 288, + "thumbsUpCount": 10 + }, + "model": { + "name": "Wan 2.2 8 Steps SVI 2 PRO T2V & I2V (FP8 + GGUF Q8_0 Q4_K_M models)", + "type": "Checkpoint", + "nsfw": true, + "poi": false, + "description": "https://huggingface.co/datasets/StefanFalkok/ComfyUI_portable_torch_2.12.0_cu130_cp313_sageattention_triton - my new ComfyUI build with torch 2.11.0cu130 + sageattention + my workflows
Hi! I intrduce my WAN 2.2 Models 8 steps
NEW! Wan_2.2_I2V_SVI_2_PRO_8steps models
merged with SVI 2 PRO loras - you don't need choose SVI lora to make long video
https://huggingface.co/StefanFalkok/Wan_2.2_I2V_SVI_2_PRO_8steps - merged models + special workflow for those models + hunyuanvideofoley to add sound towards videos
Download
FP8/FP16 + Workflows - https://huggingface.co/StefanFalkok/Wan_2.2_10steps/tree/main
GGUF + Workflows - https://huggingface.co/StefanFalkok/Wan_2.2_10steps_GGUF/tree/main (Q8_0 and Q4_K_M)
Everything u need - just load model without light lora, set 8 steps (4/4), set 2cfg on High Noise and cfg1 on low noise, set 81 frame (16 framerate), set resolution from 576p to 720p
I merged original WAN 2.2 Models from ComfyUI repository with LightX T2V Rank 256 bf 16 (https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank256_bf16.safetensors)
fp8 results on rtx 5080
1024x576 - around 3 minutes
720p - around 5 minutes
Q8_0 and FP16 take a 20% more time to generate video, but you get more quality and stable result
My TG Channel - https://t.me/StefanFalkokAI
My TG Chat - https://t.me/+y4R5JybDZcFjMjFi
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Hi! I intrduce my WAN 2.2 Models 8 steps
NEW! Wan_2.2_I2V_SVI_2_PRO_8steps models
merged with SVI 2 PRO loras - you don't need choose SVI lora to make long video
https://huggingface.co/StefanFalkok/Wan_2.2_I2V_SVI_2_PRO_8steps - merged models + special workflow for those models + hunyuanvideofoley to add sound towards videos
Download
FP8/FP16 + Workflows - https://huggingface.co/StefanFalkok/Wan_2.2_10steps/tree/main
GGUF + Workflows - https://huggingface.co/StefanFalkok/Wan_2.2_10steps_GGUF/tree/main (Q8_0 and Q4_K_M)
Everything u need - just load model without light lora, set 8 steps (4/4), set 2cfg on High Noise and cfg1 on low noise, set 81 frame (16 framerate), set resolution from 576p to 720p
I merged original WAN 2.2 Models from ComfyUI repository with LightX T2V Rank 256 bf 16 (https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank256_bf16.safetensors)
fp8 results on rtx 5080
1024x576 - around 3 minutes
720p - around 5 minutes
Q8_0 and FP16 take a 20% more time to generate video, but you get more quality and stable result
My TG Channel - https://t.me/StefanFalkokAI
My TG Chat - https://t.me/+y4R5JybDZcFjMjFi
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", + "uploadType": "Created", + "usageControl": "Download", + "licensingFee": null, + "air": "urn:air:wanvideo-22-i2v-a14b:checkpoint:civitai:2086218@2361921", + "stats": { + "downloadCount": 253, + "thumbsUpCount": 9 + }, + "model": { + "name": "Wan 2.2 8 Steps SVI 2 PRO T2V & I2V (FP8 + GGUF Q8_0 Q4_K_M models)", + "type": "Checkpoint", + "nsfw": true, + "poi": false, + "description": "https://huggingface.co/datasets/StefanFalkok/ComfyUI_portable_torch_2.12.0_cu130_cp313_sageattention_triton - my new ComfyUI build with torch 2.11.0cu130 + sageattention + my workflows
Hi! I intrduce my WAN 2.2 Models 8 steps
NEW! Wan_2.2_I2V_SVI_2_PRO_8steps models
merged with SVI 2 PRO loras - you don't need choose SVI lora to make long video
https://huggingface.co/StefanFalkok/Wan_2.2_I2V_SVI_2_PRO_8steps - merged models + special workflow for those models + hunyuanvideofoley to add sound towards videos
Download
FP8/FP16 + Workflows - https://huggingface.co/StefanFalkok/Wan_2.2_10steps/tree/main
GGUF + Workflows - https://huggingface.co/StefanFalkok/Wan_2.2_10steps_GGUF/tree/main (Q8_0 and Q4_K_M)
Everything u need - just load model without light lora, set 8 steps (4/4), set 2cfg on High Noise and cfg1 on low noise, set 81 frame (16 framerate), set resolution from 576p to 720p
I merged original WAN 2.2 Models from ComfyUI repository with LightX T2V Rank 256 bf 16 (https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank256_bf16.safetensors)
fp8 results on rtx 5080
1024x576 - around 3 minutes
720p - around 5 minutes
Q8_0 and FP16 take a 20% more time to generate video, but you get more quality and stable result
My TG Channel - https://t.me/StefanFalkokAI
My TG Chat - https://t.me/+y4R5JybDZcFjMjFi
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Hi! I intrduce my WAN 2.2 Models 8 steps
NEW! Wan_2.2_I2V_SVI_2_PRO_8steps models
merged with SVI 2 PRO loras - you don't need choose SVI lora to make long video
https://huggingface.co/StefanFalkok/Wan_2.2_I2V_SVI_2_PRO_8steps - merged models + special workflow for those models + hunyuanvideofoley to add sound towards videos
Download
FP8/FP16 + Workflows - https://huggingface.co/StefanFalkok/Wan_2.2_10steps/tree/main
GGUF + Workflows - https://huggingface.co/StefanFalkok/Wan_2.2_10steps_GGUF/tree/main (Q8_0 and Q4_K_M)
Everything u need - just load model without light lora, set 8 steps (4/4), set 2cfg on High Noise and cfg1 on low noise, set 81 frame (16 framerate), set resolution from 576p to 720p
I merged original WAN 2.2 Models from ComfyUI repository with LightX T2V Rank 256 bf 16 (https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank256_bf16.safetensors)
fp8 results on rtx 5080
1024x576 - around 3 minutes
720p - around 5 minutes
Q8_0 and FP16 take a 20% more time to generate video, but you get more quality and stable result
My TG Channel - https://t.me/StefanFalkokAI
My TG Chat - https://t.me/+y4R5JybDZcFjMjFi
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Workflow: https://huggingface.co/RuneXX/LTX-2.3-Workflows/blob/main/LTX-2.3_-_I2V_T2V_Basic_GGUF.json
Distilled version: https://civitai.com/models/2484503/ltx-23-distilled-gguf-unsloth
💪Train your own model: https://runpod.io?ref=gased9mt
🍺 Join my discord: https://discord.com/invite/pAz4Bt3rqb
Source: https://huggingface.co/unsloth/LTX-2.3-GGUF/tree/main
Workflow: https://huggingface.co/RuneXX/LTX-2.3-Workflows/blob/main/LTX-2.3_-_I2V_T2V_Basic_GGUF.json
Distilled version: https://civitai.com/models/2484503/ltx-23-distilled-gguf-unsloth
💪Train your own model: https://runpod.io?ref=gased9mt
🍺 Join my discord: https://discord.com/invite/pAz4Bt3rqb
⚠️ Important information
All models already include the Lightning LoRAs, except the SVI models, where Lightning is not included.
Do not use additional Lightning LoRAs on models that already have Lightning integrated, or the quality will be degraded.
For SVI models, you can use Lightning LoRAs if you want faster video generation.
2or3 ksampler (for svi) https://civitai.com/models/2079192?modelVersionId=2668801
v2.1 (for nsfw v2) https://civitai.com/models/2079192?modelVersionId=2562360
v2.1 with MMAUDIO (for nsfw v2) by @huchukato https://civitai.com/models/2320999?modelVersionId=2613591
Another wf triple KSampler KSampler https://civitai.com/models/1866565/wan22-continuous-generation-svi2-pro-or-gguf-or-32-phase-or-upscaleinterpolate-w-subgraphs-and-bus?modelVersionId=2559451
triple KSampler wf setup allows for more motion and helps prevent slow-motion issues. In exchange, your videos will take longer to generate.
For those having issues with my SVI workflow , you can try Kijai's wf here: https://github.com/user-attachments/files/24364598/Wan.-.2.2.SVI.Pro.-.Loop.native.json. Alternatively, you can try fmlf wf https://github.com/wallen0322/ComfyUI-Wan22FMLF/tree/main/example_workflows they will be simpler. There are others on Civitai that work very well too.
Qwen-VL workflow as an alternative to Grok for creating your dynamic NSFW prompts. Thanks @huchukato for his work: https://civitai.com/models/2320999?modelVersionId=2611094
🟣 SVI Update – NSFW
⚡ Model Presentation (SVI-compatible version)
This update was made because the NSFW V2 models were not fully compatible with SVI LoRAs.
This version was created to work smoothly with SVI, while still functioning without them (though the workflow must be adapted).
Be careful, SVI LoRAs will only work with a workflow specifically designed for them, otherwise, it won't work.
There are two models available for SVI:
✔ Fast Move (FM) – Sexual scenes may differ from the Consistent Face model and will generally be faster.
✔ Consistent Face (CF) – Slightly better image quality, which may be preferable for anime-style videos; sexual scenes differ from Fast Move, but the difference is minimal.
You can also mix models between High and Low LoRAs:
FM (Fast Move) as High + CF (Consistent Face) as Low
CF (Consistent Face) as High + FM (Fast Move) as Low
Both combinations work and give slightly different results, offering more flexibility for your videos.
For this version, the main improvements include:
✔ Fully adapted for SVI LoRAs
✔ Greater flexibility: Lightning and SVI LoRAs must be loaded manually for custom workflows
🟣 SVI LoRAs – Strengths & Weaknesses
⚡ Overview
✅ Strengths
Best solution for making long videos
Excellent transitions between video segments
Reduced degradation compared to other solutions
Strong character coherence: the model retains information from the previous video, helping maintain consistency
⚠️ Weaknesses
Weaker prompt understanding
Weaker camera understanding
Videos are less dynamic
Sometimes slow-motion effect
(can be improved with proper Lightning LoRAs, dynamic prompts or triple ksampler)
🟣 SVI LoRAs – Download Links
⚡ Download
Note: Both LoRAs must be loaded manually in your workflow.
🟣 Suggested Lightning LoRA Combos (Optional)
⚡ Overview
You don’t have to use these Lightning LoRA combos. They are optional and allow you to fine-tune motion and degradation.
You can also use other Lightning LoRAs or assign different combos per video for more control.
🔥 Combo 1 – More Motion (Rapid Video Degradation)
High LoRA →
https://huggingface.co/Kijai/WanVideo_comfy/blob/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors
Weight: 4
or
💜 Combo 2 – Less Image Degradation
or
or
🟢 Combo 3 – Balanced Motion / Moderate Degradation
High LoRA →
https://huggingface.co/Kijai/WanVideo_comfy/blob/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors
Weight: 3
Low LoRA →
https://huggingface.co/Kijai/WanVideo_comfy/blob/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors
Weight: 1.5
🧠 Advanced Usage Tip
You can disable global Lightning LoRAs (in my wf) and assign different combos per video:
Combo 1 for Video 1, Combo 3 for Video 2, Combo 2 for Video 3.
Each combo produces different motion and degradation behavior.
If you want to create several-minute-long videos while maintaining high quality, it is possible, but it will take a very long time. You just need to avoid using Lightning LoRAs and use the full model instead.
🧠 Dynamic Prompts – Better Control & More Motion
You can use dynamic prompts to have better control and this helps to make the video more dynamic.
You just need to give this example prompt to an LLM like ChatGPT. It will be enough for it to describe the image you have and what you want as a video while keeping the same structure of the prompt in the following example.
⚠️ This will be a NSFW prompt; ChatGPT will not accept it.
You can use GROK https://grok.com, which can make NSFW prompt modifications.
For more examples of prompts with different poses, check:
Enhanced FP8 Model.
Give these prompts to GLM with the dynamic prompt structure if you want.
Example 1
(At 0 seconds: Wide shot showing a slightly overweight man casually walking down a city street, camera fixed in front, urban environment with buildings and cars.)
(At 1 second: Suddenly, a massive shark bursts from the pavement ahead, looking terrifying at first, pavement cracking, dust and debris flying, camera from side angle.)
(At 2 seconds: Medium shot from the side, the man stumbles backward in shock, while the shark dramatically slows down and strikes a comically exaggerated sexy pose, revealing large, exaggerated shark breasts, covered by a colorful bikini.)
(At 3 seconds: Close-up on the man’s face, eyes wide in disbelief, as he turns to look at the shark, small cartoon-style hearts floating above his head to emphasize his amazement, camera slightly low-angle.)
(At 4 seconds: Dynamic travelling shot showing the man frozen in the street, the shark maintaining its sexy pose, water splashes and debris still moving realistically, urban chaos around.)
(At 5 seconds: Wide cinematic shot pulling back, showing the man standing in the street, staring at the bikini-wearing shark with hearts above his head, epic perspective highlighting absurdity and humor.)
Example 2 – Anime NSFW
(At 0 seconds: The couple in a cozy bedroom, anime style, soft lighting highlighting their intimate embrace, her back arched slightly as he positions himself.)
(At 1 second: The man’s hips moving rhythmically, the head of his penis sliding effortlessly into her vagina, her body responding with a gentle, fluid motion, anime-style motion lines emphasizing the smooth penetration.)
(At 2 seconds: Her back arching deeply against him to intensify the pleasure, hips swaying with each thrust, breasts bouncing subtly, small hearts floating around them to capture the erotic energy.)
(At 3 seconds: Her face, eyes closed in bliss, a soft moan escaping, hands resting behind her head, anime-style blush on her cheeks, the air filled with a seductive aura.)
(At 4 seconds: The man penetrating her deeply, her body moving in sync with his, the bed sheets slightly rumpled, the room’s warm lighting enhancing the intimate, lustful atmosphere.)
(At 5 seconds: The couple locked in a passionate embrace, the scene exuding vibrant, seductive energy, anime style with smooth lines and soft shadows.)
🟣 Lightning Edition – NSFW I2V V2
⚡ Model Presentation (2 new versions available)
I originally planned to release only one V2, but some people preferred the NSFW V1 over the Fast Move V1 version, so depending on what you’re looking for, one version may suit you better than the other.
For these V2 versions, I tried a new approach:
✔ I made sure that most sexual poses work, while the model is also good for SFW content
✔ More flexible for general use
🔥 NSFW Fast Move V2
Improvements included in this version:
Better prompt understanding
Better camera understanding
Reduced unnecessary back-and-forth movements outside sexual poses
(cannot be completely removed, but strongly reduced)Improved bounce effect on the buttocks
If a man appears, he will no longer automatically attempt to penetrate the woman when she is nude
This version is designed for those who want more dynamic scenes with more movement.
💜 NSFW V2
The difference between this version and NSFW Fast Move V2:
Less camera control
Less camera understanding
But body movements are less pronounced (breasts and buttocks)
Some preferred V1 NSFW to V1 NSFW Fast Move, and this version keeps that spirit
For varied sexual poses, check the previews — there are many.
You can use the shown prompts and adapt them to your images, but of course, other prompts will work as well.
Don’t hesitate to use other LoRAs for creating specific concepts.
🔧 Recommended Settings
Steps: 2+2
(Jellai recommends 2+3 for even better results, and I agree)Sampler: Euler simple
CFG: 1
This model already includes the Lightning LoRAs, don’t use them, or the quality will be degraded
You need to download both models: H for High and L for Low.
Here is an example made with the base workflow + the First/Last Frame workflow + upscaler (only on the starting images) + inpainting (cum).
https://civitai.com/images/114733916
🔞 LoRA Examples (with links and recommended weights)
LoRA: Penis Insert WAN 2.2
LoRA weight: 1
Face → Doggy
https://civitai.com/images/112864483Face → Missionary
https://civitai.com/images/112864718
https://civitai.com/images/112864835Face → Doggy (leg aside)
https://civitai.com/images/112864885Another example
https://civitai.com/images/112864972
Other examples with different LoRAs
Face → Reverse Cowgirl — LoRA weight: 0.7
https://civitai.com/images/112865189Face → Cowgirl — LoRA weight: 0.5
Face → Missionary — LoRA weight: 0.3
https://civitai.com/images/112865381Face → Missionary — LoRA weight: 0.5
Face → Doggy leg aside — LoRA weight: 0.6
https://civitai.com/images/112865551Face → Doggy — LoRA weight: 0.7
https://civitai.com/images/112865696Face → Spoon — LoRA weight: 0.7
https://civitai.com/images/112868124
Recommended LoRA to obtain a very realistic vagina and anus:
https://civitai.com/models/2217653?modelVersionId=2496754
💡 Tip for Anime Style:
If you’re working in an anime style, feel free to follow the advice of @g1263495582 thanks to him for this.
Try these LoRAs together or separately; they help maintain face consistency:
🔹 Note:
For these LoRAs, use only Low Noise.
For the examples mentioned above, use High and Low Noise as indicated.
LoRA weight: 0.3
Many things can be done with the model, but don’t hesitate to use other LoRAs for specific purposes. And don’t hesitate to lower the LoRA strength to preserve the face as much as possible.
📷 Dynamic prompt example with different camera angles:
(at 0 seconds: wide shot showing the woman standing in the snowy plain, a massive giant dragon emerging behind her, snow cracking and dust rising).
(at 1 second: the woman jumps backward onto the dragon’s back as it bursts fully from the sky, camera tracking the motion from a side angle, debris and snow flying).
(at 2 seconds: medium shot from the side, the woman balances heroically on the dragon’s back as it begins to run forward across the snowy plain, slow-motion on her posture).
(at 3 seconds: close-up on the woman’s determined face, camera slightly low-angle to emphasize her heroic stance, snow and debris flying around).
(at 4 seconds: dynamic travelling shot alongside the dragon, showing the snowy plain, scattered debris and ice fragments flying everywhere as it gains speed).
(at 5 seconds: wide cinematic shot pulling back, showing the dragon taking off with the woman riding on its back, soaring above the snowy plain, epic perspective with snow, wind, and scale emphasizing the drama).
For available camera angles, check further down in the “cam V2” model description.
🔞 Normal Clip vs NSFW Clip:
You can also use the NSFW version for your clip.
It can bring positive effects for sexual scenes, but it can also cause issues, as in this example:
NSFW Clip:
https://civitai.com/images/112864204Normal Clip (same seed):
https://civitai.com/images/112864295
Here are the links to NSFW clips (thanks to zoot_allure855 for correcting the BF16 version):
BF16 fixed version:
https://huggingface.co/zootkitty/nsfw_wan_umt5-xxl_bf16_fixed/tree/mainFP8 version:
https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/tree/main?not-for-all-audiences=true
❓ If you have any questions, don’t hesitate to ask!
Many people ask me for help via private message. You can do that, no problem, but I would appreciate it if you could do it in the comment section, it could help other people. Thank you.
🟣 Lightning Edition – NSFW I2V camera prompt adherence
⚡ Model Presentation (2 versions available)
I decided to release 2 versions. Both can produce different results, as you can see in the previews (the seed was the same).
Fast Move Version: provides more movement, and the movements will be faster, with better prompt understanding and camera handling
(you can see it in the 4th preview \"fast move high\" where the man slaps the woman)Natural Motion Version: offers more natural breast movements depending on the situation and produces slower scenes.
👉 Check both and choose the one that works best for you.
This NSFW edition is, of course, focused on sexual poses.
You should achieve very good results.
To create specific concepts, feel free to use specific LoRAs — they work very well with this model.
🔧 Recommended Settings
Steps: 2+2
(Jellai recommends 2+3 for even better results, and I agree)Sampler: Euler simple
CFG: 1
This model already includes the Lightning LoRAs, don’t use them, or the quality will be degraded
You can also use this T5, which may improve understanding:
https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/tree/main?not-for-all-audiences=true
📝 Usage Tips
Start with a clean, high-resolution image for better results.
The model will not change the face; if it does, increase the resolution.
Also adjust your prompt if you are not getting what you want.
Wan understands some terms well, but not all.
For prompts, check the video previews: adapt them to your image.
Other prompts will work too.
🎥 Training
I trained 2 LoRAs:
The first one using several videos and images of different sexual positions.
The second one to bring more dynamic motion.
Respect to everyone who creates this type of LoRA — it requires a lot of work.
🙏 Credits
This model wouldn’t exist without the incredible work of these creators:
alcaitiff : https://civitai.com/models/1295758/nsfw-fluxorwan-22orqwen-mystic-xxx?modelVersionId=2300332
CubeyAI : https://civitai.com/models/1307155/wan-22-experimental-wan-general-nsfw-model?modelVersionId=2073605
Sweet_Pixeline : https://civitai.com/models/1844313/penis-play-wan-22
anonimoose : https://civitai.com/models/2008663/slop-twerk-wan-22-i2v
dtwr434 https://civitai.com/models/1331682?modelVersionId=2098405
A special thanks to Alcaitiff and CubeyAI, two very kind and humble people.
🔔 Important
Please don’t support my work with buzzes here, I don’t need it.
If you want to support someone, support the creators listed above — they truly deserve it.
💬 Feedback
Feel free to give me feedback, positive or negative, to help improve future updates.
Update WAN 2.2 V2 CAM I2V – NEW feature Camera & Prompt Improvements
This custom version of WAN 2.2 I2V has been updated to deliver better prompt comprehension and improved handling of camera angles and cinematic movements. It provides more accurate scene interpretation, smoother transitions, and enhanced control over dynamic.
Key Features:
Excellent understanding of prompts and scene composition.
Supports various camera angles and movements, including zoom, dolly, pan, tilt, orbit, tracking, and handheld shots.
Ideal for cinematic storytelling, animated sequences, and creative video-to-image projects.
Flexible multi-step prompts, standard 4 steps (2+2), can be increased for higher fidelity.
Recommended sampler: Euler simple.
You can, of course, use your usual prompts; this is just one example among many.
Example Prompt with Different Camera Angles
(at 0 seconds: wide frontal shot of a man standing in front of an open fridge, cinematic lighting, subtle ambient kitchen reflections, the fridge contents visible, camera static).\n(at 1 second: medium shot from the front as he opens the fridge fully, reaches for a can, slight zoom-in to emphasize the action, cinematic framing).\n(at 2 seconds: camera shifts to a side medium shot, tracking him as he lifts the can to his mouth, fluid movement, maintaining lighting and reflections).\n(at 3 seconds: camera starts a smooth 360-degree orbit around the man, following him as he drinks from the can, motion fluid, background slightly blurred for cinematic effect).\n(at 4 seconds: close-up on his face and upper body while drinking, orbit continues subtly, fridge reflections accentuating realism, cinematic polish).\n(at 5 seconds: final wide shot as he lowers the can, camera completes orbit to original angle, showcasing the kitchen space, lighting, and dynamic movement).\nAvailable Camera Movements
Zoom / Dolly
zoom in
zoom out
camera zooms in on subject
camera zooms out gradually
dolly in
dolly out
camera dollies in slowly
camera dollies out steadily
crash zoom
Pan
pan left
pan right
camera pans across the scene
gentle pan left
sweeping pan right
Tilt
tilt up
tilt down
camera tilts up to reveal…
camera tilts down from…
Orbital / Tracking / Arc / Rotation
orbit around subject
360° orbit
camera circles around
tracking shot
camera tracks alongside subject
arc shot
curved camera movement
Other Movements & Styles
static camera / static shot
handheld shot
camera roll
Note:
LoRAs work perfectly with this model, offering full compatibility and consistent results across styles and concepts.
# SUPPLEMENTARY ADVICE
You can use negative prompts, but be careful: this will double the generation time.
Only use them if you really want to prevent something from appearing in your video.
In that case, enable the corresponding node; otherwise, keep it disabled.
⚠️ Important
The model must be used with CFG set to 1, so negative prompts do not work by default.
However, there is a simple way to enable them.
How to enable negative prompts:
Open the Manager
Search for kjnode and install it
In your workflow, add the WAN Nag node
To use it correctly:
Connect this node after the LoRA Loader
Feed it with the negative prompt
Then connect it to the first kSampler (High)
👉 Only use this option when necessary, to avoid unnecessarily increasing generation time.![](\"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/dad1a4df-6fcd-4fea-8f43-f18b27289809/width=525/dad1a4df-6fcd-4fea-8f43-f18b27289809.jpeg\")
And here is the negative prompt for unwanted movements:motion artifacts, animation artifacts, movement blur, motion distortion, dynamic distortion, shifting shapes, unstable render, instability, wobbling effect, jittering effect, vibrating render, inaccurate details, visual noise, distorted surfaces, rendering errors, warped shapes, exaggerated butt movement, jiggle, overanimated hips, unnatural butt motion, hyper bounce, extreme curves, distorted hips, unnatural pose, unrealistic anatomy, deformed body, disproportionate body, floating limbs, blurry textures, clipping, stretching, low detail, messy background, artifacts, butt bounce, moving hips, swinging hips, shaking butt, wiggling butt, moving lower body, moving pelvis, jiggling buttocks, bouncing butt, unstable stance, unnatural hip motion, exaggerated hip movement, hip sway, hip rotation, bottom motion, pelvis motion, wobbling hips, fidgeting lower body, dancing hips, pelvic movement, motion blur, unnatural movement
And here is the negative prompt from the official ComfyUI workflow:色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走
Note: If you use the default workflow without the node, this negative prompt will not work.
UPTDATE: Lightning Edition – T2V
I’m not really experienced with T2V myself, but a colleague who works with it a lot tested this version and confirmed that it performs very well. From the few tests I managed to do on my side, I got the same impression, although I haven’t compared it directly with the base version yet.
The settings are the same as in the image-to-video version: 2+2 steps or more if you prefer, CFG at 1, and Euler simple (though other samplers also work great).
I don’t plan to make an NSFW version for the T2V release,
but for the I2V version, I’m already quite happy with the first results.
Update WAN 2.2 V1.1 I2V
Updated version of the original Lightning merge — same settings 2+2 steps or more, featuring more movement and smoother flow (depending on the prompt).
The model already works very well in NSFW. Just use the right LoRAs, and the movement will improve.
WAN 2.2 V1 I2V
This checkpoint is based on the original WAN 2.2, with the Lightning WAN 2.2 and Lightning WAN 2.1 LoRAs already integrated. This improves image quality, makes motion smoother and more dynamic, and removes the slow-motion effect that can occur with the Lightning models.
A common setup is to use 2 steps on the high model and 2 steps on the low model, though other settings may work as well. Do not apply the Lightning LoRAs manually — they’re already included in this checkpoint.
My workflow
https://civitai.com/models/2079192/wan-22-i2v-native-enhanced-lightning-edition
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The man's penis makes continuous and repetitive in-and-out movements inside the woman's anus. She rides a penis, moving her body up and down as the penis enters and exits her anus.", + "sampler": "Euler" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fa123bd6-c22a-408f-9de0-9554c60d6079/original=true/120264998.mp4", + "nsfwLevel": 16, + "width": 848, + "height": 1232, + "hash": "UDFr3Eof?^NG?u-;-ot7X-x]%2t7%May%1xZ", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 15142919, + "audio": false, + "width": 848, + "height": 1232, + "duration": 24.016 + }, + "minor": false, + "poi": false, + "meta": { + "steps": 7, + "prompt": "multi-prompt-prompt1:static camera, A video the woman with sperm on her face and tongue, a woman penis worshipping . She has glossy, full, thick lips. The woman is engaged in enthusiastic penis worshipping, moving it close to her face. She licks the shaft, with close-up camera angles focusing on her face and the act.She licks the penis slowly. The scene has smooth and sensual motion." + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b58aaef7-d92d-40e0-9e61-2aaaae96a15f/original=true/120265825.mp4", + "nsfwLevel": 16, + "width": 848, + "height": 1232, + "hash": "U6BV|q%O0e000K5R=|s800Mc-;~q$,^+MwIo", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 11814418, + "audio": false, + "width": 848, + "height": 1232, + "duration": 24.016 + }, + "minor": false, + "poi": false, + "meta": { + "steps": 7, + "prompt": "multi-prompt-prompt1:A video of a woman penis worshipping . She has glossy, full, thick lips. The woman is engaged in enthusiastic penis worshipping, moving it close to her face. She licks the shaft, with close-up camera angles focusing on her face and the act.She licks the penis slowly. The scene has smooth and sensual motion.", + "sampler": "Euler" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c3c4c65a-fdaf-4d9d-b4ee-385ec484c607/original=true/120265100.mp4", + "nsfwLevel": 16, + "width": 832, + "height": 1216, + "hash": "UCFFBD~AApR.?X9]*0-5pxaxw[a$H?=|?Hr;", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 10573717, + "audio": false, + "width": 832, + "height": 1216, + "duration": 14.516 + }, + "minor": false, + "poi": false, + "meta": { + "steps": 7, + "prompt": "multi-prompt-promt1:anal sex in doggy style, he does all the work with his glans which slides effortlessly into her vagina, she pushes her body against his penis to increase sexual pleasure, very seductive and obscene erotic behavior, he penetrates her deeply, causing a back-and-forth movement of her hips while her breasts bounce with each thrust, she turns her head away from the camera, the penis enters and exits the vagina, anal undulations. Anal sex, side view.", + "sampler": "Euler" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f39610a8-5a3f-42f2-8958-1ad157368f58/original=true/120265059.mp4", + "nsfwLevel": 16, + "width": 1216, + "height": 832, + "hash": "U9HLG3000gVDAm~qwI9a0#-p%1M{={D*N_xt", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 8682524, + "audio": false, + "width": 1216, + "height": 832, + "duration": 19.266 + }, + "minor": false, + "poi": false, + "meta": { + "steps": 4, + "prompt": "multi-prompt-prompt1:The man's penis then enters the woman's anus. The man's penis makes continuous and repetitive in-and-out movements inside the woman's anus. She rides a penis, moving her body up and down as the penis enters and exits her anus.", + "sampler": "Euler" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fba9f28c-8c38-46bf-8606-941c18c78e0c/original=true/120265281.mp4", + "nsfwLevel": 16, + "width": 576, + "height": 896, + "hash": "U9GR3dHrtk0K~qRPI:IV00?bIU%g00%gV?%g", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 5933822, + "audio": false, + "width": 576, + "height": 896, + "duration": 14.516 + }, + "minor": false, + "poi": false, + "meta": { + "steps": 4, + "prompt": "multi-prompt-prompt1:the man's penis quickly withdraws from the woman's vagina. The man's penis then enters the woman's vagina. The man's penis makes continuous and repetitive in-and-out movements inside the woman's vagina. She rides a penis, moving her body up and down as the penis enters and exits her vagina.", + "sampler": "Euler" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/53c7c1db-1d76-4f20-9664-83d50ce3b060/original=true/120265608.mp4", + "nsfwLevel": 16, + "width": 592, + "height": 864, + "hash": "U5BW3tov$$^j%M010L-:~p^*Ipx]AGM{9FIp", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 4829071, + "audio": false, + "width": 592, + "height": 864, + "duration": 14.516 + }, + "minor": false, + "poi": false, + "meta": { + "steps": 7, + "prompt": "multi-prompt-prompt1:woman performing a deepthroat blowjob on a man, Deepthroat blowjob. Hardcore blowjob. She pushes her head forward, shoving the penis completely inside her mouth, the penis enters her mouth till her lips reaching the end. She is doing a deep throat blowjob. She moves her head extremely fast to increase the sexual gratification, ", + "sampler": "Euler" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d952d9a6-0f70-4a04-a701-9ae9de4dbf68/original=true/120265549.mp4", + "nsfwLevel": 16, + "width": 832, + "height": 1216, + "hash": "U5Dv1WZh9?00?Z5700%0~U_3=|E1O?NFwd?G", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 12647548, + "audio": false, + "width": 832, + "height": 1216, + "duration": 19.266 + }, + "minor": false, + "poi": false, + "meta": { + "steps": 7, + "prompt": "multi-prompt-prompt1The man's penis then enters the woman's anus. The man's penis makes continuous and repetitive in-and-out movements inside the woman's anus. She rides a penis, moving her body up and down as the penis enters and exits her anus.", + "sampler": "Euler" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/30da823c-0d68-4be4-ad7f-e6dad845f775/original=true/120265780.mp4", + "nsfwLevel": 16, + "width": 832, + "height": 1216, + "hash": "U8HKz%-U00%gyXIo~V?bFzM|-T-:~ps.4.oz", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 11153173, + "audio": false, + "width": 832, + "height": 1216, + "duration": 19.266 + }, + "minor": false, + "poi": false, + "meta": { + "steps": 7, + "prompt": "multi-prompt-prompt1:The woman is in the shower; her body and hair are wet., vaginal sex in doggy style, he does all the work with his glans which slides effortlessly into her vagina, she pushes her body against his penis to increase sexual pleasure, very seductive and obscene erotic behavior, he penetrates her deeply, causing a back-and-forth movement of her hips while her breasts bounce with each thrust, the penis enters and exits the vagina, anal undulations. Anal sex. Video of a naked woman on a bed", + "sampler": "Euler" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.red/api/download/models/2668710", + "creator": { + "username": "taek75799", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d72164f7-d565-4efe-ae2b-df451aec1c7b/width=96/taek75799.jpeg" + } + }, + "tags": [ + "fast", + "motion", + "wan", + "smooth", + "base model" + ], + "modelDescription": "⚠️ Important information
All models already include the Lightning LoRAs, except the SVI models, where Lightning is not included.
Do not use additional Lightning LoRAs on models that already have Lightning integrated, or the quality will be degraded.
For SVI models, you can use Lightning LoRAs if you want faster video generation.
2or3 ksampler (for svi) https://civitai.com/models/2079192?modelVersionId=2668801
v2.1 (for nsfw v2) https://civitai.com/models/2079192?modelVersionId=2562360
v2.1 with MMAUDIO (for nsfw v2) by @huchukato https://civitai.com/models/2320999?modelVersionId=2613591
Another wf triple KSampler KSampler https://civitai.com/models/1866565/wan22-continuous-generation-svi2-pro-or-gguf-or-32-phase-or-upscaleinterpolate-w-subgraphs-and-bus?modelVersionId=2559451
triple KSampler wf setup allows for more motion and helps prevent slow-motion issues. In exchange, your videos will take longer to generate.
For those having issues with my SVI workflow , you can try Kijai's wf here: https://github.com/user-attachments/files/24364598/Wan.-.2.2.SVI.Pro.-.Loop.native.json. Alternatively, you can try fmlf wf https://github.com/wallen0322/ComfyUI-Wan22FMLF/tree/main/example_workflows they will be simpler. There are others on Civitai that work very well too.
Qwen-VL workflow as an alternative to Grok for creating your dynamic NSFW prompts. Thanks @huchukato for his work: https://civitai.com/models/2320999?modelVersionId=2611094
🟣 SVI Update – NSFW
⚡ Model Presentation (SVI-compatible version)
This update was made because the NSFW V2 models were not fully compatible with SVI LoRAs.
This version was created to work smoothly with SVI, while still functioning without them (though the workflow must be adapted).
Be careful, SVI LoRAs will only work with a workflow specifically designed for them, otherwise, it won't work.
There are two models available for SVI:
✔ Fast Move (FM) – Sexual scenes may differ from the Consistent Face model and will generally be faster.
✔ Consistent Face (CF) – Slightly better image quality, which may be preferable for anime-style videos; sexual scenes differ from Fast Move, but the difference is minimal.
You can also mix models between High and Low LoRAs:
FM (Fast Move) as High + CF (Consistent Face) as Low
CF (Consistent Face) as High + FM (Fast Move) as Low
Both combinations work and give slightly different results, offering more flexibility for your videos.
For this version, the main improvements include:
✔ Fully adapted for SVI LoRAs
✔ Greater flexibility: Lightning and SVI LoRAs must be loaded manually for custom workflows
🟣 SVI LoRAs – Strengths & Weaknesses
⚡ Overview
✅ Strengths
Best solution for making long videos
Excellent transitions between video segments
Reduced degradation compared to other solutions
Strong character coherence: the model retains information from the previous video, helping maintain consistency
⚠️ Weaknesses
Weaker prompt understanding
Weaker camera understanding
Videos are less dynamic
Sometimes slow-motion effect
(can be improved with proper Lightning LoRAs, dynamic prompts or triple ksampler)
🟣 SVI LoRAs – Download Links
⚡ Download
Note: Both LoRAs must be loaded manually in your workflow.
🟣 Suggested Lightning LoRA Combos (Optional)
⚡ Overview
You don’t have to use these Lightning LoRA combos. They are optional and allow you to fine-tune motion and degradation.
You can also use other Lightning LoRAs or assign different combos per video for more control.
🔥 Combo 1 – More Motion (Rapid Video Degradation)
High LoRA →
https://huggingface.co/Kijai/WanVideo_comfy/blob/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors
Weight: 4
or
💜 Combo 2 – Less Image Degradation
or
or
🟢 Combo 3 – Balanced Motion / Moderate Degradation
High LoRA →
https://huggingface.co/Kijai/WanVideo_comfy/blob/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors
Weight: 3
Low LoRA →
https://huggingface.co/Kijai/WanVideo_comfy/blob/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors
Weight: 1.5
🧠 Advanced Usage Tip
You can disable global Lightning LoRAs (in my wf) and assign different combos per video:
Combo 1 for Video 1, Combo 3 for Video 2, Combo 2 for Video 3.
Each combo produces different motion and degradation behavior.
If you want to create several-minute-long videos while maintaining high quality, it is possible, but it will take a very long time. You just need to avoid using Lightning LoRAs and use the full model instead.
🧠 Dynamic Prompts – Better Control & More Motion
You can use dynamic prompts to have better control and this helps to make the video more dynamic.
You just need to give this example prompt to an LLM like ChatGPT. It will be enough for it to describe the image you have and what you want as a video while keeping the same structure of the prompt in the following example.
⚠️ This will be a NSFW prompt; ChatGPT will not accept it.
You can use GROK https://grok.com, which can make NSFW prompt modifications.
For more examples of prompts with different poses, check:
Enhanced FP8 Model.
Give these prompts to GLM with the dynamic prompt structure if you want.
Example 1
(At 0 seconds: Wide shot showing a slightly overweight man casually walking down a city street, camera fixed in front, urban environment with buildings and cars.)
(At 1 second: Suddenly, a massive shark bursts from the pavement ahead, looking terrifying at first, pavement cracking, dust and debris flying, camera from side angle.)
(At 2 seconds: Medium shot from the side, the man stumbles backward in shock, while the shark dramatically slows down and strikes a comically exaggerated sexy pose, revealing large, exaggerated shark breasts, covered by a colorful bikini.)
(At 3 seconds: Close-up on the man’s face, eyes wide in disbelief, as he turns to look at the shark, small cartoon-style hearts floating above his head to emphasize his amazement, camera slightly low-angle.)
(At 4 seconds: Dynamic travelling shot showing the man frozen in the street, the shark maintaining its sexy pose, water splashes and debris still moving realistically, urban chaos around.)
(At 5 seconds: Wide cinematic shot pulling back, showing the man standing in the street, staring at the bikini-wearing shark with hearts above his head, epic perspective highlighting absurdity and humor.)
Example 2 – Anime NSFW
(At 0 seconds: The couple in a cozy bedroom, anime style, soft lighting highlighting their intimate embrace, her back arched slightly as he positions himself.)
(At 1 second: The man’s hips moving rhythmically, the head of his penis sliding effortlessly into her vagina, her body responding with a gentle, fluid motion, anime-style motion lines emphasizing the smooth penetration.)
(At 2 seconds: Her back arching deeply against him to intensify the pleasure, hips swaying with each thrust, breasts bouncing subtly, small hearts floating around them to capture the erotic energy.)
(At 3 seconds: Her face, eyes closed in bliss, a soft moan escaping, hands resting behind her head, anime-style blush on her cheeks, the air filled with a seductive aura.)
(At 4 seconds: The man penetrating her deeply, her body moving in sync with his, the bed sheets slightly rumpled, the room’s warm lighting enhancing the intimate, lustful atmosphere.)
(At 5 seconds: The couple locked in a passionate embrace, the scene exuding vibrant, seductive energy, anime style with smooth lines and soft shadows.)
🟣 Lightning Edition – NSFW I2V V2
⚡ Model Presentation (2 new versions available)
I originally planned to release only one V2, but some people preferred the NSFW V1 over the Fast Move V1 version, so depending on what you’re looking for, one version may suit you better than the other.
For these V2 versions, I tried a new approach:
✔ I made sure that most sexual poses work, while the model is also good for SFW content
✔ More flexible for general use
🔥 NSFW Fast Move V2
Improvements included in this version:
Better prompt understanding
Better camera understanding
Reduced unnecessary back-and-forth movements outside sexual poses
(cannot be completely removed, but strongly reduced)Improved bounce effect on the buttocks
If a man appears, he will no longer automatically attempt to penetrate the woman when she is nude
This version is designed for those who want more dynamic scenes with more movement.
💜 NSFW V2
The difference between this version and NSFW Fast Move V2:
Less camera control
Less camera understanding
But body movements are less pronounced (breasts and buttocks)
Some preferred V1 NSFW to V1 NSFW Fast Move, and this version keeps that spirit
For varied sexual poses, check the previews — there are many.
You can use the shown prompts and adapt them to your images, but of course, other prompts will work as well.
Don’t hesitate to use other LoRAs for creating specific concepts.
🔧 Recommended Settings
Steps: 2+2
(Jellai recommends 2+3 for even better results, and I agree)Sampler: Euler simple
CFG: 1
This model already includes the Lightning LoRAs, don’t use them, or the quality will be degraded
You need to download both models: H for High and L for Low.
Here is an example made with the base workflow + the First/Last Frame workflow + upscaler (only on the starting images) + inpainting (cum).
https://civitai.com/images/114733916
🔞 LoRA Examples (with links and recommended weights)
LoRA: Penis Insert WAN 2.2
LoRA weight: 1
Face → Doggy
https://civitai.com/images/112864483Face → Missionary
https://civitai.com/images/112864718
https://civitai.com/images/112864835Face → Doggy (leg aside)
https://civitai.com/images/112864885Another example
https://civitai.com/images/112864972
Other examples with different LoRAs
Face → Reverse Cowgirl — LoRA weight: 0.7
https://civitai.com/images/112865189Face → Cowgirl — LoRA weight: 0.5
Face → Missionary — LoRA weight: 0.3
https://civitai.com/images/112865381Face → Missionary — LoRA weight: 0.5
Face → Doggy leg aside — LoRA weight: 0.6
https://civitai.com/images/112865551Face → Doggy — LoRA weight: 0.7
https://civitai.com/images/112865696Face → Spoon — LoRA weight: 0.7
https://civitai.com/images/112868124
Recommended LoRA to obtain a very realistic vagina and anus:
https://civitai.com/models/2217653?modelVersionId=2496754
💡 Tip for Anime Style:
If you’re working in an anime style, feel free to follow the advice of @g1263495582 thanks to him for this.
Try these LoRAs together or separately; they help maintain face consistency:
🔹 Note:
For these LoRAs, use only Low Noise.
For the examples mentioned above, use High and Low Noise as indicated.
LoRA weight: 0.3
Many things can be done with the model, but don’t hesitate to use other LoRAs for specific purposes. And don’t hesitate to lower the LoRA strength to preserve the face as much as possible.
📷 Dynamic prompt example with different camera angles:
(at 0 seconds: wide shot showing the woman standing in the snowy plain, a massive giant dragon emerging behind her, snow cracking and dust rising).
(at 1 second: the woman jumps backward onto the dragon’s back as it bursts fully from the sky, camera tracking the motion from a side angle, debris and snow flying).
(at 2 seconds: medium shot from the side, the woman balances heroically on the dragon’s back as it begins to run forward across the snowy plain, slow-motion on her posture).
(at 3 seconds: close-up on the woman’s determined face, camera slightly low-angle to emphasize her heroic stance, snow and debris flying around).
(at 4 seconds: dynamic travelling shot alongside the dragon, showing the snowy plain, scattered debris and ice fragments flying everywhere as it gains speed).
(at 5 seconds: wide cinematic shot pulling back, showing the dragon taking off with the woman riding on its back, soaring above the snowy plain, epic perspective with snow, wind, and scale emphasizing the drama).
For available camera angles, check further down in the “cam V2” model description.
🔞 Normal Clip vs NSFW Clip:
You can also use the NSFW version for your clip.
It can bring positive effects for sexual scenes, but it can also cause issues, as in this example:
NSFW Clip:
https://civitai.com/images/112864204Normal Clip (same seed):
https://civitai.com/images/112864295
Here are the links to NSFW clips (thanks to zoot_allure855 for correcting the BF16 version):
BF16 fixed version:
https://huggingface.co/zootkitty/nsfw_wan_umt5-xxl_bf16_fixed/tree/mainFP8 version:
https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/tree/main?not-for-all-audiences=true
❓ If you have any questions, don’t hesitate to ask!
Many people ask me for help via private message. You can do that, no problem, but I would appreciate it if you could do it in the comment section, it could help other people. Thank you.
🟣 Lightning Edition – NSFW I2V camera prompt adherence
⚡ Model Presentation (2 versions available)
I decided to release 2 versions. Both can produce different results, as you can see in the previews (the seed was the same).
Fast Move Version: provides more movement, and the movements will be faster, with better prompt understanding and camera handling
(you can see it in the 4th preview \"fast move high\" where the man slaps the woman)Natural Motion Version: offers more natural breast movements depending on the situation and produces slower scenes.
👉 Check both and choose the one that works best for you.
This NSFW edition is, of course, focused on sexual poses.
You should achieve very good results.
To create specific concepts, feel free to use specific LoRAs — they work very well with this model.
🔧 Recommended Settings
Steps: 2+2
(Jellai recommends 2+3 for even better results, and I agree)Sampler: Euler simple
CFG: 1
This model already includes the Lightning LoRAs, don’t use them, or the quality will be degraded
You can also use this T5, which may improve understanding:
https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/tree/main?not-for-all-audiences=true
📝 Usage Tips
Start with a clean, high-resolution image for better results.
The model will not change the face; if it does, increase the resolution.
Also adjust your prompt if you are not getting what you want.
Wan understands some terms well, but not all.
For prompts, check the video previews: adapt them to your image.
Other prompts will work too.
🎥 Training
I trained 2 LoRAs:
The first one using several videos and images of different sexual positions.
The second one to bring more dynamic motion.
Respect to everyone who creates this type of LoRA — it requires a lot of work.
🙏 Credits
This model wouldn’t exist without the incredible work of these creators:
alcaitiff : https://civitai.com/models/1295758/nsfw-fluxorwan-22orqwen-mystic-xxx?modelVersionId=2300332
CubeyAI : https://civitai.com/models/1307155/wan-22-experimental-wan-general-nsfw-model?modelVersionId=2073605
Sweet_Pixeline : https://civitai.com/models/1844313/penis-play-wan-22
anonimoose : https://civitai.com/models/2008663/slop-twerk-wan-22-i2v
dtwr434 https://civitai.com/models/1331682?modelVersionId=2098405
A special thanks to Alcaitiff and CubeyAI, two very kind and humble people.
🔔 Important
Please don’t support my work with buzzes here, I don’t need it.
If you want to support someone, support the creators listed above — they truly deserve it.
💬 Feedback
Feel free to give me feedback, positive or negative, to help improve future updates.
Update WAN 2.2 V2 CAM I2V – NEW feature Camera & Prompt Improvements
This custom version of WAN 2.2 I2V has been updated to deliver better prompt comprehension and improved handling of camera angles and cinematic movements. It provides more accurate scene interpretation, smoother transitions, and enhanced control over dynamic.
Key Features:
Excellent understanding of prompts and scene composition.
Supports various camera angles and movements, including zoom, dolly, pan, tilt, orbit, tracking, and handheld shots.
Ideal for cinematic storytelling, animated sequences, and creative video-to-image projects.
Flexible multi-step prompts, standard 4 steps (2+2), can be increased for higher fidelity.
Recommended sampler: Euler simple.
You can, of course, use your usual prompts; this is just one example among many.
Example Prompt with Different Camera Angles
(at 0 seconds: wide frontal shot of a man standing in front of an open fridge, cinematic lighting, subtle ambient kitchen reflections, the fridge contents visible, camera static).\n(at 1 second: medium shot from the front as he opens the fridge fully, reaches for a can, slight zoom-in to emphasize the action, cinematic framing).\n(at 2 seconds: camera shifts to a side medium shot, tracking him as he lifts the can to his mouth, fluid movement, maintaining lighting and reflections).\n(at 3 seconds: camera starts a smooth 360-degree orbit around the man, following him as he drinks from the can, motion fluid, background slightly blurred for cinematic effect).\n(at 4 seconds: close-up on his face and upper body while drinking, orbit continues subtly, fridge reflections accentuating realism, cinematic polish).\n(at 5 seconds: final wide shot as he lowers the can, camera completes orbit to original angle, showcasing the kitchen space, lighting, and dynamic movement).\nAvailable Camera Movements
Zoom / Dolly
zoom in
zoom out
camera zooms in on subject
camera zooms out gradually
dolly in
dolly out
camera dollies in slowly
camera dollies out steadily
crash zoom
Pan
pan left
pan right
camera pans across the scene
gentle pan left
sweeping pan right
Tilt
tilt up
tilt down
camera tilts up to reveal…
camera tilts down from…
Orbital / Tracking / Arc / Rotation
orbit around subject
360° orbit
camera circles around
tracking shot
camera tracks alongside subject
arc shot
curved camera movement
Other Movements & Styles
static camera / static shot
handheld shot
camera roll
Note:
LoRAs work perfectly with this model, offering full compatibility and consistent results across styles and concepts.
# SUPPLEMENTARY ADVICE
You can use negative prompts, but be careful: this will double the generation time.
Only use them if you really want to prevent something from appearing in your video.
In that case, enable the corresponding node; otherwise, keep it disabled.
⚠️ Important
The model must be used with CFG set to 1, so negative prompts do not work by default.
However, there is a simple way to enable them.
How to enable negative prompts:
Open the Manager
Search for kjnode and install it
In your workflow, add the WAN Nag node
To use it correctly:
Connect this node after the LoRA Loader
Feed it with the negative prompt
Then connect it to the first kSampler (High)
👉 Only use this option when necessary, to avoid unnecessarily increasing generation time.
And here is the negative prompt for unwanted movements:motion artifacts, animation artifacts, movement blur, motion distortion, dynamic distortion, shifting shapes, unstable render, instability, wobbling effect, jittering effect, vibrating render, inaccurate details, visual noise, distorted surfaces, rendering errors, warped shapes, exaggerated butt movement, jiggle, overanimated hips, unnatural butt motion, hyper bounce, extreme curves, distorted hips, unnatural pose, unrealistic anatomy, deformed body, disproportionate body, floating limbs, blurry textures, clipping, stretching, low detail, messy background, artifacts, butt bounce, moving hips, swinging hips, shaking butt, wiggling butt, moving lower body, moving pelvis, jiggling buttocks, bouncing butt, unstable stance, unnatural hip motion, exaggerated hip movement, hip sway, hip rotation, bottom motion, pelvis motion, wobbling hips, fidgeting lower body, dancing hips, pelvic movement, motion blur, unnatural movement
And here is the negative prompt from the official ComfyUI workflow:色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走
Note: If you use the default workflow without the node, this negative prompt will not work.
UPTDATE: Lightning Edition – T2V
I’m not really experienced with T2V myself, but a colleague who works with it a lot tested this version and confirmed that it performs very well. From the few tests I managed to do on my side, I got the same impression, although I haven’t compared it directly with the base version yet.
The settings are the same as in the image-to-video version: 2+2 steps or more if you prefer, CFG at 1, and Euler simple (though other samplers also work great).
I don’t plan to make an NSFW version for the T2V release,
but for the I2V version, I’m already quite happy with the first results.
Update WAN 2.2 V1.1 I2V
Updated version of the original Lightning merge — same settings 2+2 steps or more, featuring more movement and smoother flow (depending on the prompt).
The model already works very well in NSFW. Just use the right LoRAs, and the movement will improve.
WAN 2.2 V1 I2V
This checkpoint is based on the original WAN 2.2, with the Lightning WAN 2.2 and Lightning WAN 2.1 LoRAs already integrated. This improves image quality, makes motion smoother and more dynamic, and removes the slow-motion effect that can occur with the Lightning models.
A common setup is to use 2 steps on the high model and 2 steps on the low model, though other settings may work as well. Do not apply the Lightning LoRAs manually — they’re already included in this checkpoint.
My workflow
https://civitai.com/models/2079192/wan-22-i2v-native-enhanced-lightning-edition
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All models already include the Lightning LoRAs, except the SVI models, where Lightning is not included.
Do not use additional Lightning LoRAs on models that already have Lightning integrated, or the quality will be degraded.
For SVI models, you can use Lightning LoRAs if you want faster video generation.
2or3 ksampler (for svi) https://civitai.com/models/2079192?modelVersionId=2668801
v2.1 (for nsfw v2) https://civitai.com/models/2079192?modelVersionId=2562360
v2.1 with MMAUDIO (for nsfw v2) by @huchukato https://civitai.com/models/2320999?modelVersionId=2613591
Another wf triple KSampler KSampler https://civitai.com/models/1866565/wan22-continuous-generation-svi2-pro-or-gguf-or-32-phase-or-upscaleinterpolate-w-subgraphs-and-bus?modelVersionId=2559451
triple KSampler wf setup allows for more motion and helps prevent slow-motion issues. In exchange, your videos will take longer to generate.
For those having issues with my SVI workflow , you can try Kijai's wf here: https://github.com/user-attachments/files/24364598/Wan.-.2.2.SVI.Pro.-.Loop.native.json. Alternatively, you can try fmlf wf https://github.com/wallen0322/ComfyUI-Wan22FMLF/tree/main/example_workflows they will be simpler. There are others on Civitai that work very well too.
Qwen-VL workflow as an alternative to Grok for creating your dynamic NSFW prompts. Thanks @huchukato for his work: https://civitai.com/models/2320999?modelVersionId=2611094
🟣 SVI Update – NSFW
⚡ Model Presentation (SVI-compatible version)
This update was made because the NSFW V2 models were not fully compatible with SVI LoRAs.
This version was created to work smoothly with SVI, while still functioning without them (though the workflow must be adapted).
Be careful, SVI LoRAs will only work with a workflow specifically designed for them, otherwise, it won't work.
There are two models available for SVI:
✔ Fast Move (FM) – Sexual scenes may differ from the Consistent Face model and will generally be faster.
✔ Consistent Face (CF) – Slightly better image quality, which may be preferable for anime-style videos; sexual scenes differ from Fast Move, but the difference is minimal.
You can also mix models between High and Low LoRAs:
FM (Fast Move) as High + CF (Consistent Face) as Low
CF (Consistent Face) as High + FM (Fast Move) as Low
Both combinations work and give slightly different results, offering more flexibility for your videos.
For this version, the main improvements include:
✔ Fully adapted for SVI LoRAs
✔ Greater flexibility: Lightning and SVI LoRAs must be loaded manually for custom workflows
🟣 SVI LoRAs – Strengths & Weaknesses
⚡ Overview
✅ Strengths
Best solution for making long videos
Excellent transitions between video segments
Reduced degradation compared to other solutions
Strong character coherence: the model retains information from the previous video, helping maintain consistency
⚠️ Weaknesses
Weaker prompt understanding
Weaker camera understanding
Videos are less dynamic
Sometimes slow-motion effect
(can be improved with proper Lightning LoRAs, dynamic prompts or triple ksampler)
🟣 SVI LoRAs – Download Links
⚡ Download
Note: Both LoRAs must be loaded manually in your workflow.
🟣 Suggested Lightning LoRA Combos (Optional)
⚡ Overview
You don’t have to use these Lightning LoRA combos. They are optional and allow you to fine-tune motion and degradation.
You can also use other Lightning LoRAs or assign different combos per video for more control.
🔥 Combo 1 – More Motion (Rapid Video Degradation)
High LoRA →
https://huggingface.co/Kijai/WanVideo_comfy/blob/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors
Weight: 4
or
💜 Combo 2 – Less Image Degradation
or
or
🟢 Combo 3 – Balanced Motion / Moderate Degradation
High LoRA →
https://huggingface.co/Kijai/WanVideo_comfy/blob/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors
Weight: 3
Low LoRA →
https://huggingface.co/Kijai/WanVideo_comfy/blob/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors
Weight: 1.5
🧠 Advanced Usage Tip
You can disable global Lightning LoRAs (in my wf) and assign different combos per video:
Combo 1 for Video 1, Combo 3 for Video 2, Combo 2 for Video 3.
Each combo produces different motion and degradation behavior.
If you want to create several-minute-long videos while maintaining high quality, it is possible, but it will take a very long time. You just need to avoid using Lightning LoRAs and use the full model instead.
🧠 Dynamic Prompts – Better Control & More Motion
You can use dynamic prompts to have better control and this helps to make the video more dynamic.
You just need to give this example prompt to an LLM like ChatGPT. It will be enough for it to describe the image you have and what you want as a video while keeping the same structure of the prompt in the following example.
⚠️ This will be a NSFW prompt; ChatGPT will not accept it.
You can use GROK https://grok.com, which can make NSFW prompt modifications.
For more examples of prompts with different poses, check:
Enhanced FP8 Model.
Give these prompts to GLM with the dynamic prompt structure if you want.
Example 1
(At 0 seconds: Wide shot showing a slightly overweight man casually walking down a city street, camera fixed in front, urban environment with buildings and cars.)
(At 1 second: Suddenly, a massive shark bursts from the pavement ahead, looking terrifying at first, pavement cracking, dust and debris flying, camera from side angle.)
(At 2 seconds: Medium shot from the side, the man stumbles backward in shock, while the shark dramatically slows down and strikes a comically exaggerated sexy pose, revealing large, exaggerated shark breasts, covered by a colorful bikini.)
(At 3 seconds: Close-up on the man’s face, eyes wide in disbelief, as he turns to look at the shark, small cartoon-style hearts floating above his head to emphasize his amazement, camera slightly low-angle.)
(At 4 seconds: Dynamic travelling shot showing the man frozen in the street, the shark maintaining its sexy pose, water splashes and debris still moving realistically, urban chaos around.)
(At 5 seconds: Wide cinematic shot pulling back, showing the man standing in the street, staring at the bikini-wearing shark with hearts above his head, epic perspective highlighting absurdity and humor.)
Example 2 – Anime NSFW
(At 0 seconds: The couple in a cozy bedroom, anime style, soft lighting highlighting their intimate embrace, her back arched slightly as he positions himself.)
(At 1 second: The man’s hips moving rhythmically, the head of his penis sliding effortlessly into her vagina, her body responding with a gentle, fluid motion, anime-style motion lines emphasizing the smooth penetration.)
(At 2 seconds: Her back arching deeply against him to intensify the pleasure, hips swaying with each thrust, breasts bouncing subtly, small hearts floating around them to capture the erotic energy.)
(At 3 seconds: Her face, eyes closed in bliss, a soft moan escaping, hands resting behind her head, anime-style blush on her cheeks, the air filled with a seductive aura.)
(At 4 seconds: The man penetrating her deeply, her body moving in sync with his, the bed sheets slightly rumpled, the room’s warm lighting enhancing the intimate, lustful atmosphere.)
(At 5 seconds: The couple locked in a passionate embrace, the scene exuding vibrant, seductive energy, anime style with smooth lines and soft shadows.)
🟣 Lightning Edition – NSFW I2V V2
⚡ Model Presentation (2 new versions available)
I originally planned to release only one V2, but some people preferred the NSFW V1 over the Fast Move V1 version, so depending on what you’re looking for, one version may suit you better than the other.
For these V2 versions, I tried a new approach:
✔ I made sure that most sexual poses work, while the model is also good for SFW content
✔ More flexible for general use
🔥 NSFW Fast Move V2
Improvements included in this version:
Better prompt understanding
Better camera understanding
Reduced unnecessary back-and-forth movements outside sexual poses
(cannot be completely removed, but strongly reduced)Improved bounce effect on the buttocks
If a man appears, he will no longer automatically attempt to penetrate the woman when she is nude
This version is designed for those who want more dynamic scenes with more movement.
💜 NSFW V2
The difference between this version and NSFW Fast Move V2:
Less camera control
Less camera understanding
But body movements are less pronounced (breasts and buttocks)
Some preferred V1 NSFW to V1 NSFW Fast Move, and this version keeps that spirit
For varied sexual poses, check the previews — there are many.
You can use the shown prompts and adapt them to your images, but of course, other prompts will work as well.
Don’t hesitate to use other LoRAs for creating specific concepts.
🔧 Recommended Settings
Steps: 2+2
(Jellai recommends 2+3 for even better results, and I agree)Sampler: Euler simple
CFG: 1
This model already includes the Lightning LoRAs, don’t use them, or the quality will be degraded
You need to download both models: H for High and L for Low.
Here is an example made with the base workflow + the First/Last Frame workflow + upscaler (only on the starting images) + inpainting (cum).
https://civitai.com/images/114733916
🔞 LoRA Examples (with links and recommended weights)
LoRA: Penis Insert WAN 2.2
LoRA weight: 1
Face → Doggy
https://civitai.com/images/112864483Face → Missionary
https://civitai.com/images/112864718
https://civitai.com/images/112864835Face → Doggy (leg aside)
https://civitai.com/images/112864885Another example
https://civitai.com/images/112864972
Other examples with different LoRAs
Face → Reverse Cowgirl — LoRA weight: 0.7
https://civitai.com/images/112865189Face → Cowgirl — LoRA weight: 0.5
Face → Missionary — LoRA weight: 0.3
https://civitai.com/images/112865381Face → Missionary — LoRA weight: 0.5
Face → Doggy leg aside — LoRA weight: 0.6
https://civitai.com/images/112865551Face → Doggy — LoRA weight: 0.7
https://civitai.com/images/112865696Face → Spoon — LoRA weight: 0.7
https://civitai.com/images/112868124
Recommended LoRA to obtain a very realistic vagina and anus:
https://civitai.com/models/2217653?modelVersionId=2496754
💡 Tip for Anime Style:
If you’re working in an anime style, feel free to follow the advice of @g1263495582 thanks to him for this.
Try these LoRAs together or separately; they help maintain face consistency:
🔹 Note:
For these LoRAs, use only Low Noise.
For the examples mentioned above, use High and Low Noise as indicated.
LoRA weight: 0.3
Many things can be done with the model, but don’t hesitate to use other LoRAs for specific purposes. And don’t hesitate to lower the LoRA strength to preserve the face as much as possible.
📷 Dynamic prompt example with different camera angles:
(at 0 seconds: wide shot showing the woman standing in the snowy plain, a massive giant dragon emerging behind her, snow cracking and dust rising).
(at 1 second: the woman jumps backward onto the dragon’s back as it bursts fully from the sky, camera tracking the motion from a side angle, debris and snow flying).
(at 2 seconds: medium shot from the side, the woman balances heroically on the dragon’s back as it begins to run forward across the snowy plain, slow-motion on her posture).
(at 3 seconds: close-up on the woman’s determined face, camera slightly low-angle to emphasize her heroic stance, snow and debris flying around).
(at 4 seconds: dynamic travelling shot alongside the dragon, showing the snowy plain, scattered debris and ice fragments flying everywhere as it gains speed).
(at 5 seconds: wide cinematic shot pulling back, showing the dragon taking off with the woman riding on its back, soaring above the snowy plain, epic perspective with snow, wind, and scale emphasizing the drama).
For available camera angles, check further down in the “cam V2” model description.
🔞 Normal Clip vs NSFW Clip:
You can also use the NSFW version for your clip.
It can bring positive effects for sexual scenes, but it can also cause issues, as in this example:
NSFW Clip:
https://civitai.com/images/112864204Normal Clip (same seed):
https://civitai.com/images/112864295
Here are the links to NSFW clips (thanks to zoot_allure855 for correcting the BF16 version):
BF16 fixed version:
https://huggingface.co/zootkitty/nsfw_wan_umt5-xxl_bf16_fixed/tree/mainFP8 version:
https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/tree/main?not-for-all-audiences=true
❓ If you have any questions, don’t hesitate to ask!
Many people ask me for help via private message. You can do that, no problem, but I would appreciate it if you could do it in the comment section, it could help other people. Thank you.
🟣 Lightning Edition – NSFW I2V camera prompt adherence
⚡ Model Presentation (2 versions available)
I decided to release 2 versions. Both can produce different results, as you can see in the previews (the seed was the same).
Fast Move Version: provides more movement, and the movements will be faster, with better prompt understanding and camera handling
(you can see it in the 4th preview \"fast move high\" where the man slaps the woman)Natural Motion Version: offers more natural breast movements depending on the situation and produces slower scenes.
👉 Check both and choose the one that works best for you.
This NSFW edition is, of course, focused on sexual poses.
You should achieve very good results.
To create specific concepts, feel free to use specific LoRAs — they work very well with this model.
🔧 Recommended Settings
Steps: 2+2
(Jellai recommends 2+3 for even better results, and I agree)Sampler: Euler simple
CFG: 1
This model already includes the Lightning LoRAs, don’t use them, or the quality will be degraded
You can also use this T5, which may improve understanding:
https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/tree/main?not-for-all-audiences=true
📝 Usage Tips
Start with a clean, high-resolution image for better results.
The model will not change the face; if it does, increase the resolution.
Also adjust your prompt if you are not getting what you want.
Wan understands some terms well, but not all.
For prompts, check the video previews: adapt them to your image.
Other prompts will work too.
🎥 Training
I trained 2 LoRAs:
The first one using several videos and images of different sexual positions.
The second one to bring more dynamic motion.
Respect to everyone who creates this type of LoRA — it requires a lot of work.
🙏 Credits
This model wouldn’t exist without the incredible work of these creators:
alcaitiff : https://civitai.com/models/1295758/nsfw-fluxorwan-22orqwen-mystic-xxx?modelVersionId=2300332
CubeyAI : https://civitai.com/models/1307155/wan-22-experimental-wan-general-nsfw-model?modelVersionId=2073605
Sweet_Pixeline : https://civitai.com/models/1844313/penis-play-wan-22
anonimoose : https://civitai.com/models/2008663/slop-twerk-wan-22-i2v
dtwr434 https://civitai.com/models/1331682?modelVersionId=2098405
A special thanks to Alcaitiff and CubeyAI, two very kind and humble people.
🔔 Important
Please don’t support my work with buzzes here, I don’t need it.
If you want to support someone, support the creators listed above — they truly deserve it.
💬 Feedback
Feel free to give me feedback, positive or negative, to help improve future updates.
Update WAN 2.2 V2 CAM I2V – NEW feature Camera & Prompt Improvements
This custom version of WAN 2.2 I2V has been updated to deliver better prompt comprehension and improved handling of camera angles and cinematic movements. It provides more accurate scene interpretation, smoother transitions, and enhanced control over dynamic.
Key Features:
Excellent understanding of prompts and scene composition.
Supports various camera angles and movements, including zoom, dolly, pan, tilt, orbit, tracking, and handheld shots.
Ideal for cinematic storytelling, animated sequences, and creative video-to-image projects.
Flexible multi-step prompts, standard 4 steps (2+2), can be increased for higher fidelity.
Recommended sampler: Euler simple.
You can, of course, use your usual prompts; this is just one example among many.
Example Prompt with Different Camera Angles
(at 0 seconds: wide frontal shot of a man standing in front of an open fridge, cinematic lighting, subtle ambient kitchen reflections, the fridge contents visible, camera static).\n(at 1 second: medium shot from the front as he opens the fridge fully, reaches for a can, slight zoom-in to emphasize the action, cinematic framing).\n(at 2 seconds: camera shifts to a side medium shot, tracking him as he lifts the can to his mouth, fluid movement, maintaining lighting and reflections).\n(at 3 seconds: camera starts a smooth 360-degree orbit around the man, following him as he drinks from the can, motion fluid, background slightly blurred for cinematic effect).\n(at 4 seconds: close-up on his face and upper body while drinking, orbit continues subtly, fridge reflections accentuating realism, cinematic polish).\n(at 5 seconds: final wide shot as he lowers the can, camera completes orbit to original angle, showcasing the kitchen space, lighting, and dynamic movement).\nAvailable Camera Movements
Zoom / Dolly
zoom in
zoom out
camera zooms in on subject
camera zooms out gradually
dolly in
dolly out
camera dollies in slowly
camera dollies out steadily
crash zoom
Pan
pan left
pan right
camera pans across the scene
gentle pan left
sweeping pan right
Tilt
tilt up
tilt down
camera tilts up to reveal…
camera tilts down from…
Orbital / Tracking / Arc / Rotation
orbit around subject
360° orbit
camera circles around
tracking shot
camera tracks alongside subject
arc shot
curved camera movement
Other Movements & Styles
static camera / static shot
handheld shot
camera roll
Note:
LoRAs work perfectly with this model, offering full compatibility and consistent results across styles and concepts.
# SUPPLEMENTARY ADVICE
You can use negative prompts, but be careful: this will double the generation time.
Only use them if you really want to prevent something from appearing in your video.
In that case, enable the corresponding node; otherwise, keep it disabled.
⚠️ Important
The model must be used with CFG set to 1, so negative prompts do not work by default.
However, there is a simple way to enable them.
How to enable negative prompts:
Open the Manager
Search for kjnode and install it
In your workflow, add the WAN Nag node
To use it correctly:
Connect this node after the LoRA Loader
Feed it with the negative prompt
Then connect it to the first kSampler (High)
👉 Only use this option when necessary, to avoid unnecessarily increasing generation time.
And here is the negative prompt for unwanted movements:motion artifacts, animation artifacts, movement blur, motion distortion, dynamic distortion, shifting shapes, unstable render, instability, wobbling effect, jittering effect, vibrating render, inaccurate details, visual noise, distorted surfaces, rendering errors, warped shapes, exaggerated butt movement, jiggle, overanimated hips, unnatural butt motion, hyper bounce, extreme curves, distorted hips, unnatural pose, unrealistic anatomy, deformed body, disproportionate body, floating limbs, blurry textures, clipping, stretching, low detail, messy background, artifacts, butt bounce, moving hips, swinging hips, shaking butt, wiggling butt, moving lower body, moving pelvis, jiggling buttocks, bouncing butt, unstable stance, unnatural hip motion, exaggerated hip movement, hip sway, hip rotation, bottom motion, pelvis motion, wobbling hips, fidgeting lower body, dancing hips, pelvic movement, motion blur, unnatural movement
And here is the negative prompt from the official ComfyUI workflow:色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走
Note: If you use the default workflow without the node, this negative prompt will not work.
UPTDATE: Lightning Edition – T2V
I’m not really experienced with T2V myself, but a colleague who works with it a lot tested this version and confirmed that it performs very well. From the few tests I managed to do on my side, I got the same impression, although I haven’t compared it directly with the base version yet.
The settings are the same as in the image-to-video version: 2+2 steps or more if you prefer, CFG at 1, and Euler simple (though other samplers also work great).
I don’t plan to make an NSFW version for the T2V release,
but for the I2V version, I’m already quite happy with the first results.
Update WAN 2.2 V1.1 I2V
Updated version of the original Lightning merge — same settings 2+2 steps or more, featuring more movement and smoother flow (depending on the prompt).
The model already works very well in NSFW. Just use the right LoRAs, and the movement will improve.
WAN 2.2 V1 I2V
This checkpoint is based on the original WAN 2.2, with the Lightning WAN 2.2 and Lightning WAN 2.1 LoRAs already integrated. This improves image quality, makes motion smoother and more dynamic, and removes the slow-motion effect that can occur with the Lightning models.
A common setup is to use 2 steps on the high model and 2 steps on the low model, though other settings may work as well. Do not apply the Lightning LoRAs manually — they’re already included in this checkpoint.
My workflow
https://civitai.com/models/2079192/wan-22-i2v-native-enhanced-lightning-edition
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All models already include the Lightning LoRAs, except the SVI models, where Lightning is not included.
Do not use additional Lightning LoRAs on models that already have Lightning integrated, or the quality will be degraded.
For SVI models, you can use Lightning LoRAs if you want faster video generation.
2or3 ksampler (for svi) https://civitai.com/models/2079192?modelVersionId=2668801
v2.1 (for nsfw v2) https://civitai.com/models/2079192?modelVersionId=2562360
v2.1 with MMAUDIO (for nsfw v2) by @huchukato https://civitai.com/models/2320999?modelVersionId=2613591
Another wf triple KSampler KSampler https://civitai.com/models/1866565/wan22-continuous-generation-svi2-pro-or-gguf-or-32-phase-or-upscaleinterpolate-w-subgraphs-and-bus?modelVersionId=2559451
triple KSampler wf setup allows for more motion and helps prevent slow-motion issues. In exchange, your videos will take longer to generate.
For those having issues with my SVI workflow , you can try Kijai's wf here: https://github.com/user-attachments/files/24364598/Wan.-.2.2.SVI.Pro.-.Loop.native.json. Alternatively, you can try fmlf wf https://github.com/wallen0322/ComfyUI-Wan22FMLF/tree/main/example_workflows they will be simpler. There are others on Civitai that work very well too.
Qwen-VL workflow as an alternative to Grok for creating your dynamic NSFW prompts. Thanks @huchukato for his work: https://civitai.com/models/2320999?modelVersionId=2611094
🟣 SVI Update – NSFW
⚡ Model Presentation (SVI-compatible version)
This update was made because the NSFW V2 models were not fully compatible with SVI LoRAs.
This version was created to work smoothly with SVI, while still functioning without them (though the workflow must be adapted).
Be careful, SVI LoRAs will only work with a workflow specifically designed for them, otherwise, it won't work.
There are two models available for SVI:
✔ Fast Move (FM) – Sexual scenes may differ from the Consistent Face model and will generally be faster.
✔ Consistent Face (CF) – Slightly better image quality, which may be preferable for anime-style videos; sexual scenes differ from Fast Move, but the difference is minimal.
You can also mix models between High and Low LoRAs:
FM (Fast Move) as High + CF (Consistent Face) as Low
CF (Consistent Face) as High + FM (Fast Move) as Low
Both combinations work and give slightly different results, offering more flexibility for your videos.
For this version, the main improvements include:
✔ Fully adapted for SVI LoRAs
✔ Greater flexibility: Lightning and SVI LoRAs must be loaded manually for custom workflows
🟣 SVI LoRAs – Strengths & Weaknesses
⚡ Overview
✅ Strengths
Best solution for making long videos
Excellent transitions between video segments
Reduced degradation compared to other solutions
Strong character coherence: the model retains information from the previous video, helping maintain consistency
⚠️ Weaknesses
Weaker prompt understanding
Weaker camera understanding
Videos are less dynamic
Sometimes slow-motion effect
(can be improved with proper Lightning LoRAs, dynamic prompts or triple ksampler)
🟣 SVI LoRAs – Download Links
⚡ Download
Note: Both LoRAs must be loaded manually in your workflow.
🟣 Suggested Lightning LoRA Combos (Optional)
⚡ Overview
You don’t have to use these Lightning LoRA combos. They are optional and allow you to fine-tune motion and degradation.
You can also use other Lightning LoRAs or assign different combos per video for more control.
🔥 Combo 1 – More Motion (Rapid Video Degradation)
High LoRA →
https://huggingface.co/Kijai/WanVideo_comfy/blob/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors
Weight: 4
or
💜 Combo 2 – Less Image Degradation
or
or
🟢 Combo 3 – Balanced Motion / Moderate Degradation
High LoRA →
https://huggingface.co/Kijai/WanVideo_comfy/blob/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors
Weight: 3
Low LoRA →
https://huggingface.co/Kijai/WanVideo_comfy/blob/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors
Weight: 1.5
🧠 Advanced Usage Tip
You can disable global Lightning LoRAs (in my wf) and assign different combos per video:
Combo 1 for Video 1, Combo 3 for Video 2, Combo 2 for Video 3.
Each combo produces different motion and degradation behavior.
If you want to create several-minute-long videos while maintaining high quality, it is possible, but it will take a very long time. You just need to avoid using Lightning LoRAs and use the full model instead.
🧠 Dynamic Prompts – Better Control & More Motion
You can use dynamic prompts to have better control and this helps to make the video more dynamic.
You just need to give this example prompt to an LLM like ChatGPT. It will be enough for it to describe the image you have and what you want as a video while keeping the same structure of the prompt in the following example.
⚠️ This will be a NSFW prompt; ChatGPT will not accept it.
You can use GROK https://grok.com, which can make NSFW prompt modifications.
For more examples of prompts with different poses, check:
Enhanced FP8 Model.
Give these prompts to GLM with the dynamic prompt structure if you want.
Example 1
(At 0 seconds: Wide shot showing a slightly overweight man casually walking down a city street, camera fixed in front, urban environment with buildings and cars.)
(At 1 second: Suddenly, a massive shark bursts from the pavement ahead, looking terrifying at first, pavement cracking, dust and debris flying, camera from side angle.)
(At 2 seconds: Medium shot from the side, the man stumbles backward in shock, while the shark dramatically slows down and strikes a comically exaggerated sexy pose, revealing large, exaggerated shark breasts, covered by a colorful bikini.)
(At 3 seconds: Close-up on the man’s face, eyes wide in disbelief, as he turns to look at the shark, small cartoon-style hearts floating above his head to emphasize his amazement, camera slightly low-angle.)
(At 4 seconds: Dynamic travelling shot showing the man frozen in the street, the shark maintaining its sexy pose, water splashes and debris still moving realistically, urban chaos around.)
(At 5 seconds: Wide cinematic shot pulling back, showing the man standing in the street, staring at the bikini-wearing shark with hearts above his head, epic perspective highlighting absurdity and humor.)
Example 2 – Anime NSFW
(At 0 seconds: The couple in a cozy bedroom, anime style, soft lighting highlighting their intimate embrace, her back arched slightly as he positions himself.)
(At 1 second: The man’s hips moving rhythmically, the head of his penis sliding effortlessly into her vagina, her body responding with a gentle, fluid motion, anime-style motion lines emphasizing the smooth penetration.)
(At 2 seconds: Her back arching deeply against him to intensify the pleasure, hips swaying with each thrust, breasts bouncing subtly, small hearts floating around them to capture the erotic energy.)
(At 3 seconds: Her face, eyes closed in bliss, a soft moan escaping, hands resting behind her head, anime-style blush on her cheeks, the air filled with a seductive aura.)
(At 4 seconds: The man penetrating her deeply, her body moving in sync with his, the bed sheets slightly rumpled, the room’s warm lighting enhancing the intimate, lustful atmosphere.)
(At 5 seconds: The couple locked in a passionate embrace, the scene exuding vibrant, seductive energy, anime style with smooth lines and soft shadows.)
🟣 Lightning Edition – NSFW I2V V2
⚡ Model Presentation (2 new versions available)
I originally planned to release only one V2, but some people preferred the NSFW V1 over the Fast Move V1 version, so depending on what you’re looking for, one version may suit you better than the other.
For these V2 versions, I tried a new approach:
✔ I made sure that most sexual poses work, while the model is also good for SFW content
✔ More flexible for general use
🔥 NSFW Fast Move V2
Improvements included in this version:
Better prompt understanding
Better camera understanding
Reduced unnecessary back-and-forth movements outside sexual poses
(cannot be completely removed, but strongly reduced)Improved bounce effect on the buttocks
If a man appears, he will no longer automatically attempt to penetrate the woman when she is nude
This version is designed for those who want more dynamic scenes with more movement.
💜 NSFW V2
The difference between this version and NSFW Fast Move V2:
Less camera control
Less camera understanding
But body movements are less pronounced (breasts and buttocks)
Some preferred V1 NSFW to V1 NSFW Fast Move, and this version keeps that spirit
For varied sexual poses, check the previews — there are many.
You can use the shown prompts and adapt them to your images, but of course, other prompts will work as well.
Don’t hesitate to use other LoRAs for creating specific concepts.
🔧 Recommended Settings
Steps: 2+2
(Jellai recommends 2+3 for even better results, and I agree)Sampler: Euler simple
CFG: 1
This model already includes the Lightning LoRAs, don’t use them, or the quality will be degraded
You need to download both models: H for High and L for Low.
Here is an example made with the base workflow + the First/Last Frame workflow + upscaler (only on the starting images) + inpainting (cum).
https://civitai.com/images/114733916
🔞 LoRA Examples (with links and recommended weights)
LoRA: Penis Insert WAN 2.2
LoRA weight: 1
Face → Doggy
https://civitai.com/images/112864483Face → Missionary
https://civitai.com/images/112864718
https://civitai.com/images/112864835Face → Doggy (leg aside)
https://civitai.com/images/112864885Another example
https://civitai.com/images/112864972
Other examples with different LoRAs
Face → Reverse Cowgirl — LoRA weight: 0.7
https://civitai.com/images/112865189Face → Cowgirl — LoRA weight: 0.5
Face → Missionary — LoRA weight: 0.3
https://civitai.com/images/112865381Face → Missionary — LoRA weight: 0.5
Face → Doggy leg aside — LoRA weight: 0.6
https://civitai.com/images/112865551Face → Doggy — LoRA weight: 0.7
https://civitai.com/images/112865696Face → Spoon — LoRA weight: 0.7
https://civitai.com/images/112868124
Recommended LoRA to obtain a very realistic vagina and anus:
https://civitai.com/models/2217653?modelVersionId=2496754
💡 Tip for Anime Style:
If you’re working in an anime style, feel free to follow the advice of @g1263495582 thanks to him for this.
Try these LoRAs together or separately; they help maintain face consistency:
🔹 Note:
For these LoRAs, use only Low Noise.
For the examples mentioned above, use High and Low Noise as indicated.
LoRA weight: 0.3
Many things can be done with the model, but don’t hesitate to use other LoRAs for specific purposes. And don’t hesitate to lower the LoRA strength to preserve the face as much as possible.
📷 Dynamic prompt example with different camera angles:
(at 0 seconds: wide shot showing the woman standing in the snowy plain, a massive giant dragon emerging behind her, snow cracking and dust rising).
(at 1 second: the woman jumps backward onto the dragon’s back as it bursts fully from the sky, camera tracking the motion from a side angle, debris and snow flying).
(at 2 seconds: medium shot from the side, the woman balances heroically on the dragon’s back as it begins to run forward across the snowy plain, slow-motion on her posture).
(at 3 seconds: close-up on the woman’s determined face, camera slightly low-angle to emphasize her heroic stance, snow and debris flying around).
(at 4 seconds: dynamic travelling shot alongside the dragon, showing the snowy plain, scattered debris and ice fragments flying everywhere as it gains speed).
(at 5 seconds: wide cinematic shot pulling back, showing the dragon taking off with the woman riding on its back, soaring above the snowy plain, epic perspective with snow, wind, and scale emphasizing the drama).
For available camera angles, check further down in the “cam V2” model description.
🔞 Normal Clip vs NSFW Clip:
You can also use the NSFW version for your clip.
It can bring positive effects for sexual scenes, but it can also cause issues, as in this example:
NSFW Clip:
https://civitai.com/images/112864204Normal Clip (same seed):
https://civitai.com/images/112864295
Here are the links to NSFW clips (thanks to zoot_allure855 for correcting the BF16 version):
BF16 fixed version:
https://huggingface.co/zootkitty/nsfw_wan_umt5-xxl_bf16_fixed/tree/mainFP8 version:
https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/tree/main?not-for-all-audiences=true
❓ If you have any questions, don’t hesitate to ask!
Many people ask me for help via private message. You can do that, no problem, but I would appreciate it if you could do it in the comment section, it could help other people. Thank you.
🟣 Lightning Edition – NSFW I2V camera prompt adherence
⚡ Model Presentation (2 versions available)
I decided to release 2 versions. Both can produce different results, as you can see in the previews (the seed was the same).
Fast Move Version: provides more movement, and the movements will be faster, with better prompt understanding and camera handling
(you can see it in the 4th preview \"fast move high\" where the man slaps the woman)Natural Motion Version: offers more natural breast movements depending on the situation and produces slower scenes.
👉 Check both and choose the one that works best for you.
This NSFW edition is, of course, focused on sexual poses.
You should achieve very good results.
To create specific concepts, feel free to use specific LoRAs — they work very well with this model.
🔧 Recommended Settings
Steps: 2+2
(Jellai recommends 2+3 for even better results, and I agree)Sampler: Euler simple
CFG: 1
This model already includes the Lightning LoRAs, don’t use them, or the quality will be degraded
You can also use this T5, which may improve understanding:
https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/tree/main?not-for-all-audiences=true
📝 Usage Tips
Start with a clean, high-resolution image for better results.
The model will not change the face; if it does, increase the resolution.
Also adjust your prompt if you are not getting what you want.
Wan understands some terms well, but not all.
For prompts, check the video previews: adapt them to your image.
Other prompts will work too.
🎥 Training
I trained 2 LoRAs:
The first one using several videos and images of different sexual positions.
The second one to bring more dynamic motion.
Respect to everyone who creates this type of LoRA — it requires a lot of work.
🙏 Credits
This model wouldn’t exist without the incredible work of these creators:
alcaitiff : https://civitai.com/models/1295758/nsfw-fluxorwan-22orqwen-mystic-xxx?modelVersionId=2300332
CubeyAI : https://civitai.com/models/1307155/wan-22-experimental-wan-general-nsfw-model?modelVersionId=2073605
Sweet_Pixeline : https://civitai.com/models/1844313/penis-play-wan-22
anonimoose : https://civitai.com/models/2008663/slop-twerk-wan-22-i2v
dtwr434 https://civitai.com/models/1331682?modelVersionId=2098405
A special thanks to Alcaitiff and CubeyAI, two very kind and humble people.
🔔 Important
Please don’t support my work with buzzes here, I don’t need it.
If you want to support someone, support the creators listed above — they truly deserve it.
💬 Feedback
Feel free to give me feedback, positive or negative, to help improve future updates.
Update WAN 2.2 V2 CAM I2V – NEW feature Camera & Prompt Improvements
This custom version of WAN 2.2 I2V has been updated to deliver better prompt comprehension and improved handling of camera angles and cinematic movements. It provides more accurate scene interpretation, smoother transitions, and enhanced control over dynamic.
Key Features:
Excellent understanding of prompts and scene composition.
Supports various camera angles and movements, including zoom, dolly, pan, tilt, orbit, tracking, and handheld shots.
Ideal for cinematic storytelling, animated sequences, and creative video-to-image projects.
Flexible multi-step prompts, standard 4 steps (2+2), can be increased for higher fidelity.
Recommended sampler: Euler simple.
You can, of course, use your usual prompts; this is just one example among many.
Example Prompt with Different Camera Angles
(at 0 seconds: wide frontal shot of a man standing in front of an open fridge, cinematic lighting, subtle ambient kitchen reflections, the fridge contents visible, camera static).\n(at 1 second: medium shot from the front as he opens the fridge fully, reaches for a can, slight zoom-in to emphasize the action, cinematic framing).\n(at 2 seconds: camera shifts to a side medium shot, tracking him as he lifts the can to his mouth, fluid movement, maintaining lighting and reflections).\n(at 3 seconds: camera starts a smooth 360-degree orbit around the man, following him as he drinks from the can, motion fluid, background slightly blurred for cinematic effect).\n(at 4 seconds: close-up on his face and upper body while drinking, orbit continues subtly, fridge reflections accentuating realism, cinematic polish).\n(at 5 seconds: final wide shot as he lowers the can, camera completes orbit to original angle, showcasing the kitchen space, lighting, and dynamic movement).\nAvailable Camera Movements
Zoom / Dolly
zoom in
zoom out
camera zooms in on subject
camera zooms out gradually
dolly in
dolly out
camera dollies in slowly
camera dollies out steadily
crash zoom
Pan
pan left
pan right
camera pans across the scene
gentle pan left
sweeping pan right
Tilt
tilt up
tilt down
camera tilts up to reveal…
camera tilts down from…
Orbital / Tracking / Arc / Rotation
orbit around subject
360° orbit
camera circles around
tracking shot
camera tracks alongside subject
arc shot
curved camera movement
Other Movements & Styles
static camera / static shot
handheld shot
camera roll
Note:
LoRAs work perfectly with this model, offering full compatibility and consistent results across styles and concepts.
# SUPPLEMENTARY ADVICE
You can use negative prompts, but be careful: this will double the generation time.
Only use them if you really want to prevent something from appearing in your video.
In that case, enable the corresponding node; otherwise, keep it disabled.
⚠️ Important
The model must be used with CFG set to 1, so negative prompts do not work by default.
However, there is a simple way to enable them.
How to enable negative prompts:
Open the Manager
Search for kjnode and install it
In your workflow, add the WAN Nag node
To use it correctly:
Connect this node after the LoRA Loader
Feed it with the negative prompt
Then connect it to the first kSampler (High)
👉 Only use this option when necessary, to avoid unnecessarily increasing generation time.
And here is the negative prompt for unwanted movements:motion artifacts, animation artifacts, movement blur, motion distortion, dynamic distortion, shifting shapes, unstable render, instability, wobbling effect, jittering effect, vibrating render, inaccurate details, visual noise, distorted surfaces, rendering errors, warped shapes, exaggerated butt movement, jiggle, overanimated hips, unnatural butt motion, hyper bounce, extreme curves, distorted hips, unnatural pose, unrealistic anatomy, deformed body, disproportionate body, floating limbs, blurry textures, clipping, stretching, low detail, messy background, artifacts, butt bounce, moving hips, swinging hips, shaking butt, wiggling butt, moving lower body, moving pelvis, jiggling buttocks, bouncing butt, unstable stance, unnatural hip motion, exaggerated hip movement, hip sway, hip rotation, bottom motion, pelvis motion, wobbling hips, fidgeting lower body, dancing hips, pelvic movement, motion blur, unnatural movement
And here is the negative prompt from the official ComfyUI workflow:色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走
Note: If you use the default workflow without the node, this negative prompt will not work.
UPTDATE: Lightning Edition – T2V
I’m not really experienced with T2V myself, but a colleague who works with it a lot tested this version and confirmed that it performs very well. From the few tests I managed to do on my side, I got the same impression, although I haven’t compared it directly with the base version yet.
The settings are the same as in the image-to-video version: 2+2 steps or more if you prefer, CFG at 1, and Euler simple (though other samplers also work great).
I don’t plan to make an NSFW version for the T2V release,
but for the I2V version, I’m already quite happy with the first results.
Update WAN 2.2 V1.1 I2V
Updated version of the original Lightning merge — same settings 2+2 steps or more, featuring more movement and smoother flow (depending on the prompt).
The model already works very well in NSFW. Just use the right LoRAs, and the movement will improve.
WAN 2.2 V1 I2V
This checkpoint is based on the original WAN 2.2, with the Lightning WAN 2.2 and Lightning WAN 2.1 LoRAs already integrated. This improves image quality, makes motion smoother and more dynamic, and removes the slow-motion effect that can occur with the Lightning models.
A common setup is to use 2 steps on the high model and 2 steps on the low model, though other settings may work as well. Do not apply the Lightning LoRAs manually — they’re already included in this checkpoint.
My workflow
https://civitai.com/models/2079192/wan-22-i2v-native-enhanced-lightning-edition
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For v0.8, go to https://civitai.com/models/2097002
For v2.1, go to https://civitai.com/models/2347977
For v3.0, go to https://civitai.com/models/2472759
T2V available in https://civitai.com/models/2094656
Files available also in https://huggingface.co/BigDannyPt/Wan-2-2-Remix
All were using NSFW-Wan-UMT5-XXL (FP8 version) and Wan 2.1 FP32 VAE
", + "tags": [ + "concept" + ], + "allowNoCredit": true, + "allowCommercialUse": [ + "Image", + "RentCivit", + "Rent", + "Sell" + ], + "allowDerivatives": true, + "allowDifferentLicense": true + }, + "files": [ + { + "id": 2280496, + "sizeKB": 15044086.5, + "name": "wan22RemixI2VGGUFV20_highQ80.gguf", + "type": "Model", + "pickleScanResult": "Success", + "pickleScanMessage": "No Pickle imports", + "virusScanResult": "Success", + "virusScanMessage": null, + "scannedAt": "2025-11-09T09:46:31.363Z", + "metadata": { + "format": "GGUF", + "size": "full", + "fp": "fp16" + }, + "hashes": { + "AutoV1": "29A468F9", + "AutoV2": "03FCF9A70E", + "SHA256": "03FCF9A70E4223B71DFE9728478D0031E384B76258D335F85C1D7029D9B8CC00", + "CRC32": "F75583BD", + "BLAKE3": "7C1B2D537FCE3FF902FA9133A23ABA2647207409D283D3C85AF25E54E9F9A6C4", + "AutoV3": "1B4FB8500467" + }, + "primary": true, + "downloadUrl": "https://civitai.red/api/download/models/2390280" + } + ], + "images": [ + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5f718d4a-ba37-4639-ac07-418ed941114b/original=true/109528228.mp4", + "nsfwLevel": 4, + "width": 480, + "height": 832, + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "type": "video", + "metadata": { + "hash": "U00000fQfQfQfQfQfQfQfQfQfQfQfQfQfQfQ", + "size": 785229, + "audio": false, + "width": 480, + "height": 832, + "duration": 5.063 + }, + "minor": false, + "poi": false, + "meta": { + "prompt": "A women been strick by lightning and transofrming into a sexy super hero" + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + } + ], + "downloadUrl": "https://civitai.red/api/download/models/2390280", + "creator": { + "username": "Santodan", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2ad235a8-4514-47bc-98cb-9b3cd9e1df37/width=96/Santodan.jpeg" + } + }, + "tags": [ + "concept" + ], + "modelDescription": "This is the conversion to GGUF of the Wan2.2-Remix I2V v2.0 - https://civitai.com/models/2003153
For v0.8, go to https://civitai.com/models/2097002
For v2.1, go to https://civitai.com/models/2347977
For v3.0, go to https://civitai.com/models/2472759
T2V available in https://civitai.com/models/2094656
Files available also in https://huggingface.co/BigDannyPt/Wan-2-2-Remix
All were using NSFW-Wan-UMT5-XXL (FP8 version) and Wan 2.1 FP32 VAE
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For v0.8, go to https://civitai.com/models/2097002
For v2.1, go to https://civitai.com/models/2347977
For v3.0, go to https://civitai.com/models/2472759
T2V available in https://civitai.com/models/2094656
Files available also in https://huggingface.co/BigDannyPt/Wan-2-2-Remix
All were using NSFW-Wan-UMT5-XXL (FP8 version) and Wan 2.1 FP32 VAE
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For v0.8, go to https://civitai.com/models/2097002
For v2.1, go to https://civitai.com/models/2347977
For v3.0, go to https://civitai.com/models/2472759
T2V available in https://civitai.com/models/2094656
Files available also in https://huggingface.co/BigDannyPt/Wan-2-2-Remix
All were using NSFW-Wan-UMT5-XXL (FP8 version) and Wan 2.1 FP32 VAE
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