Co-authored-by: Peiyuan Zhang <a1286225768@slurm-h200-204-227.slurm-compute.tenant-slurm.svc.cluster.local> Co-authored-by: Peiyuan Zhang <a1286225768@slurm-login-0.slurm-login.tenant-slurm.svc.cluster.local>
1.2 KiB
1.2 KiB
🔧 Installation
FastVideo supports the following hardware platforms:
Quick Installation
Using pip
# Create and activate a new conda environment
conda create -n fastvideo python=3.12
conda activate fastvideo
pip install fastvideo
Using uv
# Create and activate a new uv environment
uv venv --python 3.12 --seed
source .venv/bin/activate
uv pip install fastvideo
From source
git clone https://github.com/hao-ai-lab/FastVideo.git
cd FastVideo
pip install -e .
# or if you are using uv
uv pip install -e .
Also optionally install flash-attn:
pip install flash-attn --no-build-isolation
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