Image-to-Image
Diffusers
Safetensors
StableDiffusionXLInpaintPipeline
stable-diffusion-xl
inpainting
background-editing
Instructions to use esalahterus/refo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use esalahterus/refo 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("esalahterus/refo", 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
- Xet hash:
- ac7b5f706c7cca90a7e3c51a261e706ee22f74539477e4f738f8d961d2470d91
- Size of remote file:
- 167 MB
- SHA256:
- 39a9822aaa359fe37ca5d3cff8a06b9505f29a018b2331d126b36472e77665a6
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