Image-to-Image
Diffusers
StableDiffusionInpaintPipeline
stable-diffusion
stable-diffusion-diffusers
text-guided-to-image-inpainting
endpoints-template
Instructions to use redfoo/stable-diffusion-2-inpainting-endpoint-foo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use redfoo/stable-diffusion-2-inpainting-endpoint-foo 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("redfoo/stable-diffusion-2-inpainting-endpoint-foo", 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:
- 5d4bf67773677dbadc88c99be9870464af0f320ef6dccad6b433bb07a1c0d459
- Size of remote file:
- 167 MB
- SHA256:
- 3b0f1843b01fbf820827e257eec40db099cde863f07314ae6ab641298e11fc98
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