Wan2.2-Loras

About

What Wan2.2-Loras is

🎬 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? ⚡ 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 💡 Note: - xxx in filenames represents version number or timestamp, please check HuggingFace repository for the latest version - These LoRAs must be used with Wan2.2 base models 🚀 Usage Prerequisites Base Model: You need to prepare Wan2.2 I2V base model (original model without distillation) Download base model (choose one): Method 1: From LightX2V Official Repository (Recommended) Method 2: From Wan-AI Official Repository 💡 Note: lightx2v/Wan2.2-Official-Models provides separate high noise and low noise base models, download as needed Method 1: LightX2V - Offline LoRA Merging (Recommended ⭐) Offline LoRA merging provides best performance and supports quantization simultaneously. 1.1 Download LoRA Models 1.2 Merge LoRA (Basic Merging) Merge LoRA: 1.3 Merge LoRA + Quantization (Recommended) Merge LoRA + FP8 Quantization: Merge LoRA + ComfyUI FP8 Format: 📝 Reference Documentation: For more merging options, see LightX2V Model Conversion Documentation Method 2: LightX2V - Online LoRA Loading Online LoRA loading requires

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

How it works

How video models work

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys wan2-2-loras for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (wan2-2-loras below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/videos/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"wan2-2-loras","prompt":"a drone shot over a forest"}'

Details

Languages, data & research

Licence

Open weights

Sources

Weights & code

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