initial script copied from the dpo trainer

examples/research_projects/diffusion_grpo/README.md

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+# Diffusion Model Alignment Using GRPO
+
+
+This directory provides LoRA implementations of Diffusion [GRPO](https://arxiv.org/abs/2402.03300) an RL based alignment method which is a variant of Proximal Policy Optimization (PPO) in the diffusion model setting.
+
+## SDXL training command
+
+```bash
+accelerate launch train_diffusion_grpo_sdxl.py \
+  --pretrained_model_name_or_path=stabilityai/stable-diffusion-xl-base-1.0  \
+  --pretrained_vae_model_name_or_path=madebyollin/sdxl-vae-fp16-fix \
+  --output_dir="diffusion-sdxl-dpo" \
+  --mixed_precision="fp16" \
+  --dataset_name=kashif/pickascore \
+  --train_batch_size=8 \
+  --gradient_accumulation_steps=2 \
+  --gradient_checkpointing \
+  --use_8bit_adam \
+  --rank=8 \
+  --learning_rate=1e-5 \
+  --report_to="wandb" \
+  --lr_scheduler="constant" \
+  --lr_warmup_steps=0 \
+  --max_train_steps=2000 \
+  --checkpointing_steps=500 \
+  --run_validation --validation_steps=50 \
+  --seed="0" \
+  --report_to="wandb" \
+  --push_to_hub
+```

examples/research_projects/diffusion_grpo/requirements.txt

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+accelerate>=0.16.0
+torchvision
+transformers>=4.25.1
+ftfy
+tensorboard
+Jinja2
+peft
+wandb