Getting Started with Fastwan AI
Learn how to use Fastwan AI for rapid video generation using breakthrough sparse distillation technology.
What You'll Learn
- • Understanding Fastwan AI model variants and capabilities
- • Hardware requirements and setup instructions
- • Step-by-step guide to generating your first video
- • Performance optimization tips and best practices
Understanding Fastwan AI
Fastwan AI represents a breakthrough in video generation technology, built on advanced sparse distillation techniques that enable unprecedented speed without compromising quality. The system combines video sparse attention (VSA) with distribution matching distillation (DMD) to compress traditional 50-step generation processes into just 3 steps.
Model Selection
FastWan2.1-1.3B
Perfect for rapid prototyping and real-time applications where speed is prioritized.
FastWan2.2-5B
Higher resolution output suitable for professional content creation.
Hardware Requirements
Recommended: NVIDIA H200
Optimal performance with fastest generation times for production environments.
Consumer: RTX 4090
Excellent performance for personal projects and small-scale commercial work.
Installation
# Install FastVideo framework
git clone https://github.com/hao-ai-lab/FastVideo.git
cd FastVideo
pip install -r requirements.txt
# Download model weights
python download_models.py --model fastwan2.1-1.3bGenerate Your First Video
from fastvideo import FastWanPipeline
# Initialize pipeline
pipe = FastWanPipeline.from_pretrained(
"FastVideo/FastWan2.1-T2V-1.3B-Diffusers"
)
# Generate video
video = pipe("A bird flying over mountains").videos[0]Ready to Create?
With Fastwan AI properly configured, you can now generate professional-quality videos in seconds.
Try Live Demo →