MagicAnimate

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Tagline:Temporally consistent human image animation using diffusion models

Updated:October 22, 2026

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What is MagicAnimate?

MagicAnimate is an open-source diffusion framework that turns a single reference image and a driving motion video into an animated clip. It keeps temporal consistency, preserves the reference identity, and supports cross-ID motion transfer and unseen domains such as oil paintings and movie characters. Online demos on Hugging Face, Replicate, and Colab are available.

How to use MagicAnimate?

1. Download the Stable Diffusion v1.5 base model and the MSE-finetuned VAE. 2. Download the MagicAnimate checkpoints. 3. Create the conda environment (Python ≥3.8, CUDA ≥11.3, ffmpeg) with `conda env create -f environment.yml`. 4. Activate it with `conda activate manimate` and run locally, or try the hosted demo on Hugging Face, Replicate, or Colab.

MagicAnimate Core Features

Temporally consistent animation

A diffusion-based framework that keeps motion coherent across frames and faithfully preserves the reference image's identity.

Image plus motion video driving

Animate any reference image using a driving video; supports cross-ID motion transfer and unseen domains like oil paintings and movie characters.

Text-to-image integration

Works with text-to-image diffusion models such as DALL·E 3, bringing text-prompted images to life with dynamic actions.

Online demos and API

Run it locally via conda, or use the hosted demo on Hugging Face, Replicate, and Colab, plus a Replicate API for programmatic video generation.

MagicAnimate Use Cases

Animate a portrait photo with a dance or pose reference video

Bring oil paintings or movie characters to life with realistic motion

Generate short animated clips for creative and research projects

Build video animation into an app via the Replicate API

MagicAnimate Frequently Asked Questions

What is MagicAnimate?

MagicAnimate is an open-source diffusion framework that produces an animated video from a single reference image and a driving motion video, while keeping temporal consistency.

Who built MagicAnimate?

MagicAnimate was built by Show Lab at the National University of Singapore together with ByteDance.

How do I run MagicAnimate?

Download the Stable Diffusion v1.5 base model, the MSE-finetuned VAE, and the MagicAnimate checkpoints, then create the conda environment (Python ≥3.8, CUDA ≥11.3, ffmpeg) and activate it with `conda activate manimate`.

Where can I try it without installing?

You can use the online demo on Hugging Face, Replicate, or Colab, or call the Replicate API to generate animated videos.

What are its current limitations?

Some distortion can appear in faces and hands, and the default configuration shifts anime-style inputs toward realism, which may need checkpoint adjustments.

MagicAnimate Product Background & Official Links

MagicAnimate Support Email & Customer service contact & Refund contact etc.

More Contact, visit the about us page(https://github.com/magic-research/magic-animate)

MagicAnimate Company Info

MagicAnimate Company name: Show Lab

More about MagicAnimate, Please visit the about us page(https://github.com/magic-research/magic-animate)

MagicAnimate GitHub

MagicAnimate GitHub Link: https://github.com/magic-research/magic-animate

MagicAnimate Pricing & Plans

Open Source

Free

Full source code on GitHub
Run locally with conda (Python ≥3.8, CUDA ≥11.3)
Online demos on Hugging Face, Replicate, and Colab
Replicate API for programmatic generation

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MagicAnimate Tags

Free Open Source API Available For Developers Web App Cloud-based

Best Suited Occupations for MagicAnimate

Software Developers Academic Researchers Audio & Video Producers Students

MagicAnimate

Active

Tagline:Temporally consistent human image animation using diffusion models

Updated:October 22, 2026

Domain Rating:

7Domain Rating by Ahrefs

Social Media:-

AI Animation Generator AI Video Generator Video & Animation AI Avatar Generator Free Open Source API Available For Developers Web App Cloud-based

Open Website

Visit Website

What is MagicAnimate?

How to use MagicAnimate?

MagicAnimate Core Features

Temporally consistent animation

A diffusion-based framework that keeps motion coherent across frames and faithfully preserves the reference image's identity.

Image plus motion video driving

Animate any reference image using a driving video; supports cross-ID motion transfer and unseen domains like oil paintings and movie characters.

Text-to-image integration

Works with text-to-image diffusion models such as DALL·E 3, bringing text-prompted images to life with dynamic actions.

Online demos and API

Run it locally via conda, or use the hosted demo on Hugging Face, Replicate, and Colab, plus a Replicate API for programmatic video generation.

MagicAnimate Use Cases

Animate a portrait photo with a dance or pose reference video

Bring oil paintings or movie characters to life with realistic motion

Generate short animated clips for creative and research projects

Build video animation into an app via the Replicate API

MagicAnimate Frequently Asked Questions

What is MagicAnimate?

MagicAnimate is an open-source diffusion framework that produces an animated video from a single reference image and a driving motion video, while keeping temporal consistency.

Who built MagicAnimate?

MagicAnimate was built by Show Lab at the National University of Singapore together with ByteDance.

How do I run MagicAnimate?

Where can I try it without installing?

You can use the online demo on Hugging Face, Replicate, or Colab, or call the Replicate API to generate animated videos.

What are its current limitations?

Some distortion can appear in faces and hands, and the default configuration shifts anime-style inputs toward realism, which may need checkpoint adjustments.