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lightx2v/Wan2.2-Distill-Loras
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wan2.2

lightx2v/Wan2.2-Distill-Loras

🎬 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

img_lightx2v

🤗 HuggingFace GitHub License

🌟 What's Special?

⚡ 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

🎯 Dual Noise Control

  • High Noise: More creative, diverse outputs
  • Low Noise: More faithful to input, stable outputs
  • Rank 64 LoRA, compact size

💾 Storage Efficient

  • Small LoRA Size: Significantly smaller than full models
  • Flexible Combination: Can be combined with quantization
  • Easy Sharing: Convenient for model weight distribution

🚀 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

📦 LoRA Model Catalog

🎥 Available LoRA Models

Task TypeNoise LevelModel FileRankPurpose
I2VHigh Noisewan2.2_i2v_A14b_high_noise_lora_rank64_lightx2v_4step_xxx.safetensors64More creative image-to-video
I2VLow Noisewan2.2_i2v_A14b_low_noise_lora_rank64_lightx2v_4step_xxx.safetensors64More stable image-to-video

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此模型源自站外搬运（搬运地址: https://huggingface.co/lightx2v/Wan2.2-Distill-Loras ），若原作者对于本次搬运的结果存在异议，可点
申诉
我们会在 24 小时内，按照原作者的要求，对本模型展开编辑、删除或是转移给原作者等相关处理。由衷欢迎原作者入驻本站，共建 AI绘图的学习交流社区。

user_srdgfhfa

user_srdgfhfa

wan2.2

模型信息

未冻结
原创作者：
lightx2v
模型类型：
LoRA
基础模型：
WAN2.2
文件名称：
models/loras/wan2.2_i2v_A14b_low_noise_lora_rank64_lightx2v_4step_1022_modified.safetensors
MD5：
ca29c174bc4cff86e70d69b9e124da2f

🎬 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

img_lightx2v

🤗 HuggingFace GitHub License

🌟 What's Special?

⚡ 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

🎯 Dual Noise Control

  • High Noise: More creative, diverse outputs
  • Low Noise: More faithful to input, stable outputs
  • Rank 64 LoRA, compact size

💾 Storage Efficient

  • Small LoRA Size: Significantly smaller than full models
  • Flexible Combination: Can be combined with quantization
  • Easy Sharing: Convenient for model weight distribution

🚀 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

📦 LoRA Model Catalog

🎥 Available LoRA Models

Task TypeNoise LevelModel FileRankPurpose
I2VHigh Noisewan2.2_i2v_A14b_high_noise_lora_rank64_lightx2v_4step_xxx.safetensors64More creative image-to-video
I2VLow Noisewan2.2_i2v_A14b_low_noise_lora_rank64_lightx2v_4step_xxx.safetensors64More stable image-to-video

?

此模型源自站外搬运（搬运地址: https://huggingface.co/lightx2v/Wan2.2-Distill-Loras ），若原作者对于本次搬运的结果存在异议，可点
申诉
我们会在 24 小时内，按照原作者的要求，对本模型展开编辑、删除或是转移给原作者等相关处理。由衷欢迎原作者入驻本站，共建 AI绘图的学习交流社区。