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:
- b79565f48e46dfc94707e59e0fcb2f14ef18daa99600f2804ad585eb9f3e6bca
- Size of remote file:
- 246 MB
- SHA256:
- fc83cf401d930147807e7c44021c164bcc5508c9d4cc0ff35f4e354685ca9cd0
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