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
- Draw Things
- DiffusionBee
- Xet hash:
- e9eff40bb3d653a0b8e194e9c120d4f8fedfcadc4319acd6c280e65ddb0538a0
- Size of remote file:
- 167 MB
- SHA256:
- 1ada45aa57d683930c7fe8b07db0360a8f3cb48758103100292a3bed18e9e8dd
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