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hao-ai-lab-FastVideo/docs/getting_started/quick_start.md
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# 🚀 Quick Start
Get up and running with FastVideo in minutes!
## Installation
First, install FastVideo:
```bash
# If you previously used Conda, use uv instead for a faster, more stable setup
uv venv --python 3.12 --seed
source .venv/bin/activate
# Install FastVideo on NVIDIA CUDA 12
UV_TORCH_BACKEND=cu126 uv pip install fastvideo
```
Use `UV_TORCH_BACKEND=cu130` instead on CUDA 13.
Also optionally install flash-attn:
```bash
uv pip install flash-attn --no-build-isolation -v
```
## ⚡ Generate Your Command
Select your task, model profile, and GPU count to get a ready-to-run command:
<div class="quick-start-guide-wrap">
<iframe
class="quick-start-guide-frame"
src="../../config-generator/"
title="FastVideo Guided Config Generator"
data-config-generator
loading="lazy"
></iframe>
</div>
!!! tip "Need more control?"
Use the [Advanced Tuning Guide](advanced_tuning_guide.md) to tune all parameters — resolution, attention backend, memory offloading, and more.
## Next Steps
- [Advanced Tuning Guide](advanced_tuning_guide.md) - Fine-grained parameter tuning
- [Installation Guide](installation.md) - Detailed installation instructions
- [Configuration](../inference/configuration.md) - Learn about configuration options
- [Examples](../inference/examples/examples_inference_index.md) - Explore more
examples
- [Optimizations](../inference/optimizations.md) - Performance optimization tips