Instructions to use stable-diffusion-v1-5/stable-diffusion-inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stable-diffusion-v1-5/stable-diffusion-inpainting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import AutoPipelineForInpainting from diffusers.utils import load_image # switch to "mps" for apple devices pipe = AutoPipelineForInpainting.from_pretrained("stable-diffusion-v1-5/stable-diffusion-inpainting", dtype=torch.float16, device_map="cuda") img_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png" mask_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png" image = load_image(img_url).resize((1024, 1024)) mask_image = load_image(mask_url).resize((1024, 1024)) prompt = "a tiger sitting on a park bench" generator = torch.Generator(device="cuda").manual_seed(0) image = pipe( prompt=prompt, image=image, mask_image=mask_image, guidance_scale=8.0, num_inference_steps=20, # steps between 15 and 30 work well for us strength=0.99, # make sure to use `strength` below 1.0 generator=generator, ).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from stable-diffusion-v1-5/stable-diffusion-inpainting: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-inpainting/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stable-diffusion-v1-5/stable-diffusion-inpainting/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-inpainting/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- d4671d879e5e34b1cf891e53a667f3c257fd783e596c5a2e9f57019307354093
- Size of remote file:
- 492 MB
- SHA256:
- 770a47a9ffdcfda0b05506a7888ed714d06131d60267e6cf52765d61cf59fd67
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