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lightx2v / Wan-NVFP4
Model's Last Updated: 2025年12月23日
Introduction of Wan-NVFP4
Model Details of Wan-NVFP4
🎬 Wan-NVFP4-4Steps Models
NVFP4 Quantization-Aware Step Distillation for Blackwell Architecture
📋 Table of Contents
- ✨ Features
- 🚀 Quick Start
- 🎬 Generation Results
- ⚡ Performance Comparison
- 📦 Installation
- 🛠️ Usage
- 🧭 Project Structure
- ⚠️ Notes
- 🤝 Community
✨ Features
- ⚡ 4-Step Inference : Dramatically accelerated end-to-end generation approaching real-time performance (tested on RTX 5090 single GPU)
- 🎯 NVFP4 Quantization : Reduced memory and bandwidth usage, optimized for Blackwell architecture
- 🔧 LightX2V Integration : Optimal performance and stability on the official framework
- 🚀 High-Quality Generation : Maintains Wan2.1's superior video quality while achieving unprecedented speed
🚀 Quick Start
# 1. Install LightX2V
git clone https://github.com/ModelTC/LightX2V.git
cd LightX2V
uv pip install -v .
# 2. Install NVFP4 Kernel
pip install scikit_build_core uv
git clone https://github.com/NVIDIA/cutlass.git
cd lightx2v_kernel
MAX_JOBS=$(nproc) CMAKE_BUILD_PARALLEL_LEVEL=$(nproc) \
uv build --wheel \
-Cbuild-dir=build . \
-Ccmake.define.CUTLASS_PATH=/path/to/cutlass \
--verbose --color=always --no-build-isolation
pip install dist/*whl --force-reinstall --no-deps
# 3. Run inference
cd examples/wan
python wan_i2v_nvfp4.py # Image-to-Video
python wan_t2v_nvfp4.py # Text-to-Video
🎬 Generation Results
"A cinematic, hyper-realistic 3D animation, in the somber and beautiful style of Sekiro: Shadows Die Twice. In a vast field of silvery-white pampas grass, under a luminous full moon, the shinobi Wolf stands ready for a final duel..."
| Input Image | Wan2.1-I2V-14B-480P | wan2.1_i2v_480p_nvfp4_lightx2v_4step |
|---|---|---|
|
"高对比度，高饱和度，短边构图，日落，中焦距，柔光，背光，暖色调，边缘光，中近景，日光，晴天光，一位外国白人女性的近景，她身穿黄色格子连衣裙，戴着耳环。随着仰拍镜头的上升，女子抬起头来，眼睛里含着泪水，看着前方说着话..."
| Wan2.1-T2V-1.3B | wan2.1_t2v_1_3b_nvfp4_lightx2v_4step |
|---|---|
⚡ Performance Comparison
Test Environment : RTX 5090 Single GPU | LightX2V Framework
📸 Image-to-Video (I2V-14B-480P)
|
🎬 Text-to-Video (T2V-1.3B-480P)
|
⚠️ Notes
System Requirements
- Required Hardware : NVIDIA RTX 50-series GPUs (RTX 5090/5080/5070/5060) or other Blackwell architecture GPUs
Dependencies
- Prepare T5 / CLIP / VAE components yourself (same as Wan2.x structure)
Performance Tips
- Use Blackwell + NVFP4 for best performance
- Enable CPU offload for GPUs with limited memory
🤝 Community
- 🐛 Issues : GitHub Issues
- 🤗 Models : HuggingFace Hub
- 📖 Documentation : LightX2V Docs
If you find this project helpful, please give us a ⭐ on GitHub
Runs of lightx2v Wan-NVFP4 on huggingface.co
473
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30-day runs
More Information About Wan-NVFP4 huggingface.co Model
Url of Wan-NVFP4
Wan-NVFP4 huggingface.co Url
Provider of Wan-NVFP4 huggingface.co
Other API from lightx2v
Updated:2026年10月16日
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