# 🚀 Quick Start Get up and running with FastVideo in minutes! ## Installation First, install FastVideo: ```bash # Create and activate a new conda environment conda create -n fastvideo python=3.12 conda activate fastvideo # Install FastVideo pip install fastvideo ``` Also optionally install flash-attn: ```bash pip install flash-attn --no-build-isolation ``` ## Basic Usage ### Text-to-Video Generation ```python from fastvideo import VideoGenerator def main(): # Create a video generator with a pre-trained model generator = VideoGenerator.from_pretrained( "Wan-AI/Wan2.1-T2V-1.3B-Diffusers", num_gpus=1, # Adjust based on your hardware ) # Define a prompt for your video prompt = "A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes wide with interest." # Generate the video video = generator.generate_video( prompt, return_frames=True, # Also return frames from this call (defaults to False) output_path="my_videos/", # Controls where videos are saved save_video=True ) if __name__ == '__main__': main() ``` ### Image-to-Video Generation ```python from fastvideo import VideoGenerator, SamplingParam def main(): # Create the generator model_name = "Wan-AI/Wan2.1-I2V-14B-480P-Diffusers" generator = VideoGenerator.from_pretrained(model_name, num_gpus=1) # Set up parameters with an initial image sampling_param = SamplingParam.from_pretrained(model_name) sampling_param.image_path = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/astronaut.jpg" sampling_param.num_frames = 107 # Generate video based on the image prompt = "A photograph coming to life with gentle movement" generator.generate_video(prompt, sampling_param=sampling_param, output_path="my_videos/", save_video=True) if __name__ == '__main__': main() ``` ## Next Steps - [Installation Guide](installation.md) - Detailed installation instructions - [Configuration](../inference/configuration.md) - Learn about configuration options - [Examples](../inference/examples/) - Explore more examples - [Optimizations](../inference/optimizations.md) - Performance optimization tips