FastVideo Gradio Demo

This is a Gradio-based web interface for generating videos using the FastVideo framework. The demo allows users to create videos from text prompts with various customization options.

Overview

The demo uses the FastVideo framework to generate videos based on text prompts. It provides a simple web interface built with Gradio that allows users to:

Enter text prompts to generate videos
Customize video parameters (dimensions, number of frames, etc.)
Use negative prompts to guide the generation process
Set or randomize seeds for reproducibility

Usage

Run the demo with:

python examples/inference/gradio/gradio_demo.py

This will start a web server at http://0.0.0.0:7860 where you can access the interface.

Model Initialization

This demo initializes a VideoGenerator with the minimum required arguments for inference. Users can seamlessly adjust inference options between generations, including prompts, resolution, video length, or even the number of inference steps, without ever needing to reload the model.

Video Generation

The core functionality is in the generate_video function, which:

Processes user inputs
Uses the FastVideo VideoGenerator from earlier to run inference (generator.generate_video())
Returns an output path that Gradio uses to display the generated video

Gradio Interface

The interface is built with several components:

A text input for the prompt
A video display for the result
Inference options in a collapsible accordion:
- Height and width sliders
- Number of frames slider
- Guidance scale slider
- Inference steps slider
- Negative prompt options
- Seed controls

Inference Options

Height/Width: Control the resolution of the generated video
Number of Frames: Set how many frames to generate
Guidance Scale: Control how closely the generation follows the prompt
Inference Steps: More steps can improve quality but take longer
Negative Prompt: Specify what you don't want to see in the video
Seed: Control randomness for reproducible results