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:
- d60b93e6b601be9a280f064f53d667d799f89d3b232f1679f169b31cb5ffb8d1
- Size of remote file:
- 10.3 GB
- SHA256:
- f7895453917a670ea3f6873ec37c96c3e28fb22494c9925614fadaad6eb93d38
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