Instructions to use xiaoxiaolin/sd-inpaint-remove with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xiaoxiaolin/sd-inpaint-remove with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xiaoxiaolin/sd-inpaint-remove", 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
- Xet hash:
- b44253873d13a4b5a6c41de0889f2c05c04356555a2d674dbbc87fc867e55667
- Size of remote file:
- 3.46 GB
- SHA256:
- d86b4e357cdcc7cb147f507f9441c3a5afb6ba39697cc3f3dead1c37ff918714
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