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 DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-inpainting", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a052d39873ab8474d1d81a3d6a425b016c646d45f5c06f54c20bb7dc500539cf
- Size of remote file:
- 1.72 GB
- SHA256:
- a71dec5f3ee7004b84b22c26b6d8f6681aea1c038a75ee4b9dd68c6b3401d8d6
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