Open and Advanced Large-Scale Video Generative Models.
OmniHuman
OmniHuman is a cutting-edge end-to-end AI framework developed by ByteDance, designed to generate highly realistic human videos from just a single image and an audio input, with advanced features such as lip sync, facial animation, and gesture synthesis. Whether you provide a portrait, half-body, or full-body photo, OmniHuman brings it to life with natural movements, expressive gestures, accurate lip synchronization to audio, and remarkable attention to detail. By combining multiple input types—such as images and audio—OmniHuman creates vivid, high-quality video results. The model is highly adaptable, supporting not only real human portraits but also animated or cartoon characters, making it suitable for a wide range of applications including content creation, singing, lip sync videos, and performance scenarios. 0.12$ per second.
OmniHuman Avatar Effect
Requirements
Number of Image
- Only one image can be uploaded per generation.
Image Requirements
- Only human portrait images are supported.
- For best results, use clear, front-facing portraits with good lighting.
- Supported formats: PNG, JPEG, JPG, WebP.
- Maximum file size: 50MB.
Output Characteristics
- Produces natural human motion, facial expressions, and accurate lip sync to audio.
- Works best with clear, well-lit portrait photos.
- May not perform optimally with extreme poses or poor lighting.
Best Practices
- Use a clear, front-facing portrait photo.
- Ensure the image is well-lit.
- Avoid extreme angles or poses.
- Make sure the face is clearly visible.
- Avoid images with multiple people.
Keywords
- lip sync
- facial animation
- gesture synthesis
- ortrait animation
- audio-driven video generation
