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# Anonymize Anyone: Toward Race Fairness in Text-to-Face Synthesis using Simple Preference Optimization in Diffusion Model
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For detailed information, code, and documentation, please visit our GitHub repository:
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## Training
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For information on how to train the model, including the use of **βπΉπΉπΈ** (Focused Feature Enhancement Loss) and **βπ«π°ππ** (Difference Loss), please see our GitHub repository's [training section](https://github.com/fh2c1/Anonymize-Anyone#running_man-train).
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datasets:
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- yuvalkirstain/pickapic_v2
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language:
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- en
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base_model: stabilityai/stable-diffusion-2-1
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pipeline_tag: text-to-image
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library_name: diffusers
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---
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# Anonymize Anyone: Toward Race Fairness in Text-to-Face Synthesis using Simple Preference Optimization in Diffusion Model
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For detailed information, code, and documentation, please visit our GitHub repository:
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## Training
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For information on how to train the model, including the use of **βπΉπΉπΈ** (Focused Feature Enhancement Loss) and **βπ«π°ππ** (Difference Loss), please see our GitHub repository's [training section](https://github.com/fh2c1/Anonymize-Anyone#running_man-train).
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