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MagicAnimate

On the record

Applications
The project shows examples involving unseen-domain images, text-to-image generated references, and multi-person animation.showlab.github.io · read 8 Oct 2026
GPU inference
The repository documents inference on a single GPU or multiple GPUs.github.com · read 8 Oct 2026
Identity preservation
The pipeline uses an appearance encoder for identity preservation.showlab.github.io · read 4 Oct 2026
Inputs
The project describes using a reference image and a target DensePose motion sequence to generate an animation.showlab.github.io · read 8 Oct 2026
License
The public repository identifies its license as BSD-3-Clause.github.com · read 8 Oct 2026
Local requirements
The documented installation prerequisites are Python 3.8 or later, CUDA 11.3 or later, and ffmpeg.github.com · read 8 Oct 2026
Local use
The README provides commands to launch a local Gradio demo on one or multiple GPUs.github.com · read 4 Oct 2026
Long videos
Its video fusion strategy is designed to produce smooth transitions during inference on long video animations.showlab.github.io · read 8 Oct 2026
Model dependencies
The getting-started instructions call for Stable Diffusion V1.5, an MSE-finetuned VAE, and MagicAnimate checkpoints.github.com · read 8 Oct 2026
Online demo
The repository links to an online Gradio demo, and also documents launching a local Gradio demo.github.com · read 8 Oct 2026
Purpose
MagicAnimate is a diffusion-based framework for animating human images with temporal consistency, faithful reference-image preservation, and animation fidelity.showlab.github.io · read 8 Oct 2026
Requirements
The README lists Python 3.8 or later, CUDA 11.3 or later, and ffmpeg as prerequisites.github.com · read 4 Oct 2026
Research affiliation
The project page lists authors affiliated with Show Lab at the National University of Singapore and ByteDance.showlab.github.io · read 8 Oct 2026
Research context
The project page lists Show Lab at the National University of Singapore and ByteDance affiliations for its authors.showlab.github.io · read 4 Oct 2026

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