How to use Joypop/GDPO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Joypop/GDPO", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0]
https://huggingface.co/Joypop/GDPO/resolve/refs%2Fpr%2F1/GDPOSR/diffusermodels/__pycache__/autoencoder_kl.cpython-310.pyc
hf download hf://Joypop/GDPO@refs/pr/1/GDPOSR/diffusermodels/__pycache__/autoencoder_kl.cpython-310.pyc
curl -L -o autoencoder_kl.cpython-310.pyc https://huggingface.co/Joypop/GDPO/resolve/refs%2Fpr%2F1/GDPOSR/diffusermodels/__pycache__/autoencoder_kl.cpython-310.pyc
