Description

AnimateDiff is the official implementation of AnimateDiff, presented in the repository as an ICLR 2024 Spotlight project. The visible documentation describes it as a plug-and-play module that turns most community text-to-image models into animation generators without additional training.

The repository includes code, configuration files, scripts, and a Gradio app for generating animations, with examples for Stable Diffusion v1.5 and a separate branch noted for Stable Diffusion XL.

How we innovate

AnimateDiff is distinctive for learning transferable motion priors that can be applied to existing Stable Diffusion family models, allowing animation generation through a plug-and-play approach rather than additional fine-tuning.

Use Case / Scenario

1. Generate animations from community models

Use the provided sampling scripts and configuration files to create animations with supported community text-to-image models.

2. Experiment with motion control

Run the MotionLoRA and SparseCtrl examples to explore different ways of controlling animation generation, including RGB and sketch-based setups.

3. Use the Gradio demo

Launch the included Gradio app for a local demo experience that makes AnimateDiff easier to use through a browser interface.

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