Magic Animate
An open-source diffusion model that animates a single photo using a separate motion video.
At a glance
Starts at
Free
No paid plan found on the vendor's site, September 2026.
Free tier
Yes
Platforms
Web, API
Best for
Developers experimenting with diffusion-based human animation
Not for
Users wanting polished output without technical setup
3.9 out of 5
Scored by Alex after real useOur verdict
Magic Animate takes a single reference image and a motion sequence and turns them into a temporally consistent animated video, built by Show Lab at the National University of Singapore and Bytedance. It handles unusual inputs well, including oil paintings, movie characters and cross-ID motion, and pairs with text-to-image models like DALLE3. Faces and hands still distort at times, and the default setup drifts from an anime look toward realism, so it takes checkpoint tuning and a working Python and CUDA setup to get clean results.
✓What it does well
Temporal consistencyAnimations stay consistent frame to frame, avoiding the flicker common in similar tools.
Cross-domain animationIt can animate motion onto unusual references like oil paintings or movie characters.
Text-to-image integrationIt pairs with text-to-image diffusion models such as DALLE3 to animate generated images.
✕Where it falls short
Face and hand distortionFaces and hands still distort at times, an issue that remains unresolved without a reliable fix.
Manual checkpoint tuningThe default style drifts from anime toward realism, so getting a consistent look requires swapping checkpoints manually.
Local setup requiredThere is no hosted version; it only runs after installing Python, CUDA and pretrained model checkpoints locally.
Key features
Single-image animationIt generates an animated video from one reference image plus a motion clip.
Cross-ID motion transferMotion from one subject can be applied to a different reference image.
DALLE3 integrationIt connects with text-to-image models like DALLE3 to animate generated art.
Open-source checkpointsPretrained model checkpoints are available for download and local installation.