--- license: apache-2.0 tags: - diffusion-single-file - comfyui - distillation - NVFP4 - video - video genration base_model: - Wan-AI/Wan2.1-T2V-1.3B - gdhe17/Self-Forcing pipeline_tags: - text-to-video library_name: diffusers --- # 🎬 Self-Forcing-NVFP4-4Steps Models > **NVFP4 Quantization-Aware Step Distillation for Blackwell Architecture** [![GitHub](https://img.shields.io/badge/GitHub-ModelTC/LightX2V-blue)](https://github.com/ModelTC/LightX2V) [![HuggingFace](https://img.shields.io/badge/HuggingFace-lightx2v-yellow)](https://huggingface.co/lightx2v/) ## 📋 Table of Contents - [✨ Features](#-features) - [🚀 Quick Start](#-quick-start) - [🎬 Generation Results](#-generation-results) - [📦 Installation](#-installation) - [🛠️ Usage](#-usage) - [🧭 Project Structure](#-project-structure) - [⚠️ Notes](#️-notes) - [🤝 Community](#-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 Self-Forcing's superior video quality while achieving unprecedented speed ## 🚀 Quick Start ```bash # 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 # config https://github.com/ModelTC/LightX2V/blob/main/configs/self_forcing/wan_t2v_sf_nvfp4.json ``` ## 🎬 Generation Results

"A leprechaun, with green hat and traditional Irish attire, standing in a lush forest filled with vib..."

Self-Forcing-1.3B-BF16 Self-Forcing-1.3B-NVFP4

"A mystical and spiritual scene filled with loving energy emanating from the heavens. The sky is bath..."

| Self-Forcing-1.3B-BF16 | Self-Forcing-1.3B-NVFP4 | | --- | --- | | | | ## ⚠️ 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 Self-Forcing structure) ### Performance Tips - Use Blackwell + NVFP4 for best performance - Enable CPU offload for GPUs with limited memory ## 🤝 Community - **🐛 Issues**: [GitHub Issues](https://github.com/ModelTC/LightX2V/issues) - **🤗 Models**: [HuggingFace Hub](https://huggingface.co/lightx2v/) - **📖 Documentation**: [LightX2V Docs](https://github.com/ModelTC/LightX2V) ---
**If you find this project helpful, please give us a ⭐ on [GitHub](https://github.com/ModelTC/LightX2V)**