Tencent-Hunyuan/MixGRPO

Health v2 · maintenance only

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Adoption not part of the score

1177 stars · 51 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MixGRPO is a research framework from Tencent Hunyuan implementing a mixed ODE-SDE GRPO algorithm for efficient reinforcement learning fine-tuning of flow-based diffusion image generation models. It includes training code, a FLUX.1 Dev fine-tuned checkpoint, and a faster MixGRPO-Flash variant using a sliding window mechanism.

Use cases

• fine-tune diffusion models with GRPO for human preference alignment
• speed up flow-based RL post-training of image generators
• reproduce MixGRPO results from the ECCV 2026 paper
• train SD3.5 or FLUX LoRA with reward models like HPSv2
• compare Flow-GRPO and MixGRPO training efficiency

When to choose

• you need RL-based preference alignment for flow matching image models
• you want faster GRPO training with fewer denoising steps optimized
• you want the official implementation and checkpoints of the MixGRPO paper

When to avoid

• you need a production-ready, well-licensed training framework
• you are not working with diffusion or flow-based generative models
• you need stable long-term support rather than research code

Facets

library · maturity active

reinforcement-learning machine-learning llm-training image-processing machine-learning deep-learning image-processing artificial-intelligence python diffusion-models grpo flow-matching rlhf image-generation research-code eccv-2026 gpu linux

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markdown · JSON · MCP: product_card(name="Tencent-Hunyuan/MixGRPO")