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:
- 3900fe5cf74ed1a8b43a4098e506f8d2b75c8cbd8af78be24c35e4e882c4085d
- Size of remote file:
- 5.14 GB
- SHA256:
- fb0c35b0be8bba4ecd61dfca4e716a0a9878639c5fc271a05a780b4dc2366c31
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