| license: mit | |
| pipeline_tag: text-to-image | |
| tags: | |
| - image-to-image | |
| This repository contains the model of the paper [OmniGen: Unified Image Generation](https://huggingface.co/papers/2409.11340). | |
| ## OmniGen | |
| OmniGen is a unified image generation model that you can use to perform various tasks, including but not limited to text-to-image generation, | |
| subject-driven generation, Identity-Preserving Generation, image editing, and image-conditioned generation. | |
| OmniGen don't need additional plugins or operations, it can automatically identify the features (e.g., required object, human pose, depth mapping) | |
| in input images according the text prompt. | |
| Code: https://github.com/VectorSpaceLab/OmniGen |