Instructions to use yichengup/flux.1-fill-dev-OneReward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yichengup/flux.1-fill-dev-OneReward 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("yichengup/flux.1-fill-dev-OneReward", 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] - Notebooks
- Google Colab
- Kaggle
Awesome
#2
by UbuUbu - opened
Looks amazing,
Do you know if will get some quantized versions soon to give it a shot on smaller GPU ?
very cool, can you suggest a comfyui workflow to test?
Thanks
very cool, can you suggest a comfyui workflow to test?
Thanks
One-click run: https://www.runninghub.ai/post/1965826858283634690/?inviteCode=rh-v1091