magic-research/magic-animate
A diffusion model that animates a reference human image using pose sequences to produce temporally consistent videos.

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MagicAnimate is a diffusion-model-based system for animating still human images into videos using pose guidance. The method ensures temporal consistency across frames by leveraging a diffusion architecture trained on human motion data. The repository includes inference code, a Gradio demo, and pretrained model weights for Stable Diffusion V1.5 integration.