Wan 2.2 Distill Loras
LoRA weights extracted from Wan2.2 distilled models - Flexible deployment with excellent generation quality
Model source
- Kind
- Other
- File size
- 585–705 MB
- Base model
- Wan-AI/Wan2.2-I2V-A14B
- Version
- vRevision 5700441
- Updated
- Sep 18, 2026
- Publisher
- @lightx2v
- Downloads
- 201K
- Source
- Hugging Face
Source excerpt
LoRA weights extracted from Wan2.2 distilled models - Flexible deployment with excellent generation quality
Sources
1 source
Sources
1 sourceVerified Aug 6
Model artifacts
4 artifacts
Model artifacts
4 artifactswan2.2_i2v_A14b_high_noise_lora_rank64_lightx2v_4step_1022.safetensors
safetensors · 605 MB · SHA-256 887c3bdeb74e…bb19 · Hugging Face
Downloadwan2.2_i2v_A14b_low_noise_lora_rank64_lightx2v_4step_1022.safetensors
safetensors · 705 MB · SHA-256 8833bd4fd7c8…b0f1 · Hugging Face
Downloadwan2.2_t2v_A14b_high_noise_lora_rank64_lightx2v_4step_1217.safetensors
safetensors · 585 MB · SHA-256 89003385f8a9…1769 · Hugging Face
Downloadwan2.2_t2v_A14b_low_noise_lora_rank64_lightx2v_4step_1217.safetensors
safetensors · 585 MB · SHA-256 4df7c206f318…1322 · Hugging Face
DownloadSource excerpts
3 excerpts
Source excerpts
3 excerpts--- license: apache-2.0 tags: - diffusion-single-file - comfyui - distillation - LoRA - video - video genration - lora pipeline_tags: - image-to-video - text-to-video base_model: - Wan-AI/Wan2.2-I2V-A14B library_name: diffusers pipeline_tag: image-to-video --- # 🎬 Wan2.2 Distilled LoRA Models ### ⚡ High-Performance Video Generation with 4-Step Inference Using LoRA *LoRA weights extracted from Wan2.2 distilled models - Flexible deployment with excellent generation quality*  --- [](https://huggingface.co/lightx2v/Wan2.2-Distill-Loras) [](https://github.com/ModelTC/LightX2V) [](LICENSE) --- ## 🌟 What's Special? <table> <tr> <td width="50%"> ### ⚡ Flexible Deployment - **Base Model + LoRA**: Can be combined with base models - **Offline Merging**: Pre-merge LoRA into models - **Online Loading**: Dynamically load LoRA during inference - **Multiple Frameworks**: Supports LightX2V and ComfyUI </td> <td width="50%"> ### 🎯 Dual Noise Control - **High Noise**: More creative, diverse outputs - **Low Noise**: More faithful to input, stable outputs - Rank 64 LoRA, compact size </td> </tr> <tr> <td width="50%"> ### 💾 Storage Efficient - **Small LoRA Size**: Significantly smaller than full models - **Flexible Combination**: Can be combined with quantization - **Easy Sharing**: Convenient for model weight distribution </td> <td width="50%"> ### 🚀 4-Step Inference - **Ultra-Fast Generation**: Generate high-quality videos in just 4 steps - **Distillation Acceleration**: Inherits advantages of distilled models - **Quality Assurance**: Maintains excellent generation quality </td> </tr> </table> --- ## 📦 LoRA Model Catalog ### 🎥 Available LoRA Models | Task Type | Noise Level | Model File | Rank | Purpose | |:-------:|:--------:|:---------|:----:|:-----| | **I2V** | High Noise | `wan2.2_i2v_A14b_high_noise_lora_rank64_lightx2v_4step_xxx.safetensors` | 64 | More creative image-to-video | | **I2V** | Low Noise | `wan2.2_i2v_A14b_low_noise_lora_rank64_lightx2v_4step_xxx.safetensors` | 64 | More stable image-to-video | > 💡 *...
Source context: 200994 downloads · 275 likes · Pipeline image-to-video · Library diffusers · Repo lightx2v/Wan2.2-Distill-Loras
Source context: 257650 downloads · 269 likes · Pipeline image-to-video · Library diffusers · Repo lightx2v/Wan2.2-Distill-Loras
