🔧 Installation¶
FastVideo supports the following hardware platforms:
Quick Installation¶
Using uv (recommended)¶
Use uv as the default environment manager for faster and more stable installs.
# Create and activate a new uv environment
uv venv --python 3.12 --seed
source .venv/bin/activate
uv pip install fastvideo
Using Conda (alternative)¶
# Create and activate a new conda environment
conda create -n fastvideo python=3.12 -y
conda activate fastvideo
pip install fastvideo
From source¶
git clone https://github.com/hao-ai-lab/FastVideo.git
cd FastVideo
uv pip install -e .
# optional: install flash-attn
uv pip install flash-attn --no-build-isolation -v
Alternative with Conda environment:
Hardware Requirements¶
- NVIDIA GPUs: CUDA 11.8+ with compute capability 7.0+
- Apple Silicon: macOS 12.0+ with M1/M2/M3 chips
- CPU: x86_64 architecture (for CPU-only inference)
Next Steps¶
- Quick Start Guide - Get started with your first video generation
- Configuration - Learn about configuration options
- Examples - Explore example scripts and notebooks