Instructions to use rzgar/Wan2.2_LightX2V_4Step_Uncensored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use rzgar/Wan2.2_LightX2V_4Step_Uncensored with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Wan2.2 I2V T2V LightX2V 4Step Uncensored
Left: I2V | Right: T2V
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 βwhat ifβ runs, that repetitive setup gets old fast.
These LightX2V LoRAs are meant for both I2V and T2V, and they are uncensored. If youβre 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 80β85% 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 0.55β0.65 strength on top of this pair.
Downside: if you lower this LoRAβs 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
| File | Stage |
|---|---|
| Wan2.2_LightX2V_high_n54vv.safetensors | High noise |
| Wan2.2_LightX2V_low_n54vv.safetensors | Low noise |
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.
| File | Variant | Strength |
|---|---|---|
| male_genitalia_enhancer_high.safetensors | High noise | 0.55 |
| male_genitalia_enhancer_low.safetensors | Low noise | 0.55 |
| female_genitalia_enhancer_high.safetensors | High noise | 0.5 |
| female_genitalia_enhancer_low.safetensors | Low noise | 0.5 |
π Acknowledgements
Download model
Download them in the Files & versions tab.
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Model tree for rzgar/Wan2.2_LightX2V_4Step_Uncensored
Base model
Wan-AI/Wan2.2-I2V-A14B