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MixGRPO

Diffusers
Safetensors
Model card Files
xet
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Improve model card: add metadata, abstract, and sample usage

#1
by nielsr HF Staff - opened
base: refs/heads/main
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from: refs/pr/1
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nielsr

This PR significantly enhances the model card for MixGRPO by adding essential metadata and valuable content:

  • Metadata:
    • pipeline_tag: text-to-image: Improves discoverability on the Hugging Face Hub for image generation tasks.
    • library_name: diffusers: Indicates compatibility with the popular Diffusers library, facilitating easy programmatic access.
    • license: other: Clearly specifies the custom licensing terms.
  • Content:
    • Abstract: The full abstract from the paper is added to provide a concise overview of the model's purpose, methodology, and key findings.
    • Sample Usage: A clear Python code snippet using the diffusers library is included, demonstrating how to load the model and generate images. This streamlines the onboarding process for users.

The existing links to the paper (arXiv), project page, and GitHub repository are preserved, ensuring all relevant external resources are still easily accessible.
Improve model card: add metadata, abstract, and sample usagedb817366
tulvgengenr
 Owner

Thanks very much!
tulvgengenr changed pull request status to merged
tulvgengenr
 Owner
•
edited Jul 31, 2025

It seems that the diffuser pipeline cannot use MixGRPO sampling, so I have temporarily dropped this part in the README. Also, please note that our sampling method uses mix sampling to alleviate the reward hacking problem. Specifically, it samples 50 steps by default, using the MixGRPO model for the first 30 steps and FLUX for the last 20 steps. For details, please refer to our inference code on GitHub: https://github.com/Tencent-Hunyuan/MixGRPO?tab=readme-ov-file#run-inference.

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