--- 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_ ## 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 | File | Stage | |------|--------| | [Wan2.2_LightX2V_high_n54vv.safetensors](https://huggingface.co/rzgar/Wan2.2_LightX2V_4Step_Uncensored/resolve/main/Wan2.2_LightX2V_high_n54vv.safetensors) | High noise | | [Wan2.2_LightX2V_low_n54vv.safetensors](https://huggingface.co/rzgar/Wan2.2_LightX2V_4Step_Uncensored/resolve/main/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](https://huggingface.co/rzgar/Wan2.2-Bernini-R-Motion-Enhancer-n4w-i2v/resolve/main/male_genitalia_enhancer_high.safetensors) | High noise | 0.55 | | [male_genitalia_enhancer_low.safetensors ](https://huggingface.co/rzgar/Wan2.2-Bernini-R-Motion-Enhancer-n4w-i2v/resolve/main/male_genitalia_enhancer_low.safetensors) | Low noise | 0.55 | | [female_genitalia_enhancer_high.safetensors](https://huggingface.co/rzgar/Wan2.2-Bernini-R-Motion-Enhancer-n4w-i2v/resolve/main/female_genitalia_enhancer_high.safetensors) | High noise | 0.5 | | [ female_genitalia_enhancer_low.safetensors](https://huggingface.co/rzgar/Wan2.2-Bernini-R-Motion-Enhancer-n4w-i2v/resolve/main/female_genitalia_enhancer_low.safetensors) | Low noise | 0.5 | ___ ## 🙏 Acknowledgements [LightX2V](https://huggingface.co/lightx2v) | [Wan-AI](https://huggingface.co/Wan-AI) ## Download model [Download](/rzgar/Wan2.2_LightX2V_4Step_Uncensored/tree/main) them in the Files & versions tab.