jieliu/SD3.5M-FlowGRPO-PickScore
3324
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<!-- Provide a quick summary of what the model is/does. --> This model is trained using Flow-GRPO with LoRA. We provide only the LoRA weights here, so you will need to download the SD 3.5 Medium base model first.
Model Details
Model Sources
<!-- Provide the basic links for the model. -->
- Repository: https://github.com/yifan123/flow_grpo
- Paper: https://www.arxiv.org/pdf/2505.05470
Uses
import torch
from diffusers import StableDiffusion3Pipeline
from diffusers.schedulers import FlowMatchEulerDiscreteScheduler
from peft import PeftModel
model_id = "stabilityai/stable-diffusion-3.5-medium"
lora_ckpt_path = "jieliu/SD3.5M-FlowGRPO-PickScore"
device = "cuda"
pipe = StableDiffusion3Pipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe.transformer = PeftModel.from_pretrained(pipe.transformer, lora_ckpt_path)
pipe.transformer = pipe.transformer.merge_and_unload()
pipe = pipe.to(device)
prompt = 'a jung male cyborg with white hair sitting down on a throne in a dystopian world, digital art, epic'
image = pipe(prompt, height=512, width=512, num_inference_steps=40,guidance_scale=4.5,negative_prompt="").images[0]
image.save("flow_grpo_pickscore.png")