Add pipeline tag, paper link, and library name
#1
by
nielsr
HF Staff
- opened
README.md
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---
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license: agpl-3.0
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language:
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- en
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---
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Welcome to MIGE, a unified model for instruction-based editing and subject-driven generation.
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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**.
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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](https://github.com/Eureka-Maggie/MIGE).
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---
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language:
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- en
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license: agpl-3.0
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library_name: transformers, diffusers
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pipeline_tag: image-to-image
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Welcome to MIGE, a unified model for instruction-based editing and subject-driven generation.
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[Paper](https://hf.co/papers/2502.21291)
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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**.
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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](https://github.com/Eureka-Maggie/MIGE).
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