SD3.5M-FlowGRPO
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4 items
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Updated
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-Text"
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 weathered cave explorers journal page, with the phrase "lost city near" prominently written in faded ink, surrounded by sketches of ancient ruins and cryptic symbols, under a dim, mystical light.'
image = pipe(prompt, height=512, width=512, num_inference_steps=40,guidance_scale=4.5,negative_prompt="").images[0]
image.save(f"flow_grpo_text.png")
Base model
stabilityai/stable-diffusion-3.5-medium