Instructions to use stablediffusionapi/realistic-inpaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/realistic-inpaint 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/realistic-inpaint", 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:
- 7552c70e585c12bb2b363b7ee7148cfcb1b105ab316db394b6b5cfcf25bb3df4
- Size of remote file:
- 246 MB
- SHA256:
- 4db8e41dc86887e180677877980327808b72f3d061e08f2cfc5c37f4e7aff976
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