Instructions to use LogicGoInfotechSpaces/ObjectRemover with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LogicGoInfotechSpaces/ObjectRemover with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LogicGoInfotechSpaces/ObjectRemover", 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:
- 9a80951abea88bf8a372c88ea66753ec5ca7ce73514c1b4870fc3ad5483eb396
- Size of remote file:
- 855 MB
- SHA256:
- 0ebf6aa2b0f8db475ca7bd1148fcc2dc131f989cb452a45103ff23e3ece825c8
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