Wan2.2-Lightning / README.md
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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 comes in 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.

This model is currently in beta. It’s functional and improving—feedback is welcome!


Changelog

I2V 0.8

  • Updated lighting acceleration module to Wan2.1 version, fixing slow-motion character issues
  • Integrated over 20 open-source LoRAs and 10 custom-trained LoRAs to enhance motion dynamics
  • Removed several low-quality LoRAs to improve overall visual fidelity

I2V 0.6

  • Enhanced walking, dancing, and running movements
  • Improved overall motion coherence
  • Introduced gesture-rich motion set

T2V 1.0 SFW

  • Optimized character motion naturalness for safe content generation
  • Improved motion fluidity and gesture diversity
  • Enhanced visual clarity and interaction scene quality

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