Model Overview — Wan2.2-Remix
Wan2.2-Remix is a research and creative model built to generate short, cinematic video clips directly from text prompts. It focuses on human dynamics, realistic motion, and scene consistency, producing lifelike movement and smooth transitions without requiring LoRA setup.
This model is divided into NSFW and SFW versions:
The NSFW version can generate high-quality adult content without loading LoRA, but it is not recommended for normal video generation;
For generating regular content, please use the SFW version.
High-noise model T2V: Lightx2v Wan2.2 Lightning dyno version (quantized to fp8)
High-noise model I2V: Comfy-Org Wan 2.2 ComfyUI Repackaged (fp16, quantized to fp8)
Low-noise model: Comfy-Org Wan 2.2 ComfyUI Repackaged (quantized to fp8)
Enhancements: Blended with open-source motion LoRA data and refined pose training for enhanced realism, anatomical precision, and gesture diversity.
Integration: Fully compatible with
lightx2v, no extra setup required.Recommended CLIP: NSFW-Wan-UMT5-XXL
Recommended Settings:
Steps: 4–8
CFG: 1
Shift: 5–10
Sampler: Euler
Scheduler: Simple
This release is currently beta. While functional, it is not yet perfect—feedback and testing are highly appreciated.
### 🔗 Links
🐼 [Hugging Face: Wan2.2-Remix](https://huggingface.co/FX-FeiHou/wan2.2-remix)
✈️ [Telegram Group](https://t.me/wan22remix)
Changelog
T2V 1.0
Reduced dyno weighting to improve stability across different random seeds
Added more Asian facial datasets for greater diversity
Enhanced character motion dynamics for fluid animation
Improved motion amplitude, gesture diversity, and overall visual quality
T2V 0.9
High-noise T2V model: Lightx2v Wan2.2 Lightning dyno version (fp8)
High-noise I2V model: Comfy-Org Wan 2.2 ComfyUI Repackaged (fp16, fp8 quantized)
Low-noise model: Comfy-Org Wan 2.2 ComfyUI Repackaged
Refined character motion blending for smoother transitions
Enhanced anatomical articulation and natural body flow
Disclaimer
This model is released for research and creative purposes only. It must not be used for illegal, unethical, or harmful activities. The author assumes no responsibility for any misuse or consequences arising from its use.