zhazhazha/

wan2.2-Remix

Model Overview — Wan2.2-Remix

• 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

Changelog

I2V v3.0

• Added VBVR LoRA to enhance spatial understanding and improve scene consistency.
• Introduced UnifiedReward optimization to improve overall video quality and generation stability.
• Adjusted several NSFW LoRAs to improve quality and visual consistency in NSFW scenes.
• This version is considered the final release of the Remix I2V series.Unless there are major technological breakthroughs in the future, no further updates are planned.

I2V 2.1

• Enhance facial consistency in long videos
• Adjust LoRA ratio to make video dynamics more realistic

T2V 2.0

• Optimized character stability in generated videos, reducing jitter and unwanted motion artifacts
• Enhanced video detail for more visually rich scenes
• Added dynamic motion effects to improve realism and cinematic impact
• Updated base model to original Wan2.2 version to minimize differences across random seeds

I2V 2.0

• Significantly enhanced character motion and poses for more dynamic animations
• Greatly improved camera movement and cinematic framing
• Optimized NSFW content weighting to reduce jitter in generated videos when producing SFW scenes
• Enhanced explosions and particle effects for more impactful visuals
• SFW version will no longer receive updates

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

• 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