tags:

• wan
• wan2.2
• GSsmart
• T2V
• I2V
• lora
• comfyui
• video
• uncensored base_model: Wan-AI/Wan2.2-I2V-A14B instance_prompt: null license: apache-2.0 pipeline_tag: image-text-to-video

Wan2.2 GSsmart Uncensored

Left: I2V | Right: T2V Your browser does not support the video tag.

Model description

I got tired of switching back and forth between I2V and T2V models, and swapping LightX2V (or other LoRAs) suited to each. When you mostly generate videos for testing or “what if” runs, that repetitive setup gets old fast.

These LightX2V LoRAs are meant for both I2V and T2V, and they are uncensored. If you’re in the same boat, they might save you some workflow friction.

What to expect

• Tuned to understand mechanics and motion from explicit prompts.
• Female / male body accuracy is roughly 80–85% on T2V.
• On I2V, results depend heavily on the input image. Bringing a male or female into the scene (a man || woman appears) depends a lot on how clear and explicit your prompt is, be descriptive about clothing, body.

Stacking other LoRAs

Other well-trained LoRAs usually work fine at about 0.55–0.65 strength on top of this pair.

Downside: if you lower this LoRA’s strength, you are also weakening the LightX2V / speed behavior. Without another LightX2V pair to compensate, output can get blurry with broken motion. Keep this pair at full (or near-full) strength unless you add a separate speed LoRA.

Files

Appearance-Only Enhancers

The appearance side of the LoRA is intentionally tuned down for better stacking with other LoRAs. Rarely needed in I2V scenes, but for T2V these appearance-only LoRAs can enhance and compensate for the tuned-down appearances.

🙏 Acknowledgements

LightX2V | Wan-AI

Download model

Download them in the Files & versions tab.