MIGE / README.md
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language:
  - en
license: agpl-3.0
library_name: transformers, diffusers
pipeline_tag: image-to-image

Welcome to MIGE, a unified model for instruction-based editing and subject-driven generation.

Paper

Here, we provide all models used for training and inference. Users can also refer to our paper and download the original models from their respective sources. We gather them here only for convenience, and they are for research purposes only.

The file 'model.pth' is the final trained MIGE model, used for benchmarking various tasks. For detailed evaluation scripts, please refer to our GitHub repository.