Instructions to use stablediffusionapi/v3inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/v3inpainting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/v3inpainting", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4aadde26c0c5f39d57a82fda91ecddfccd8b5f06a6cb4eff5eda86fe1b8d9b4e
- Size of remote file:
- 167 MB
- SHA256:
- bee0a8824ceb7d7563bf7b336d49c49a9baf3da5fd8bb16a3e098ee24c4156aa
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