XueZeyue/DanceGRPO

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1648 stars · 82 forks observed · 2026-08-28

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

Official implementation of DanceGRPO, a framework applying Group Relative Policy Optimization (GRPO) to fine-tune visual generation models with reinforcement learning. Built on FastVideo, it supports diffusion and rectified-flow models including Stable Diffusion, FLUX, HunyuanVideo, SkyReels-I2V, Qwen-Image, and Wan-2.1.

Use cases

• fine-tune FLUX with human preference reward models
• apply GRPO reinforcement learning to diffusion models
• align text-to-image models with human preferences
• train video generation models with RL
• optimize image aesthetics with reward models
• reproduce the DanceGRPO paper experiments

When to choose

• you need RL-based preference alignment for diffusion or rectified-flow image/video models
• you want to fine-tune FLUX, Stable Diffusion, HunyuanVideo, or Wan-2.1 with GRPO
• you are researching RL fine-tuning of generative visual models

When to avoid

• you need general-purpose LLM RLHF rather than visual generation
• you lack GPU resources for large model training
• you want a plug-and-play inference tool rather than training scripts

Facets

library · maturity active

llm-training machine-learning deep-learning image-processing video-processing machine-learning deep-learning image-processing artificial-intelligence python grpo reinforcement-learning diffusion-models rectified-flow text-to-image text-to-video reward-models fine-tuning stable-diffusion flux hunyuanvideo research-code video gpu linux

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