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jieliu/SD3.5M-FlowGRPO-PickScore
SD3.5M-FlowGRPO-PickScore is a machine learning model from jieliu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
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.
Downloads · 30 days
1.5K
17% of all-time downloads
All-time downloads
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.safetensors150 MB · 100%
From the Hugging Face model README
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.
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")