Instructions to use s0Meb0dyyyy/Diff_based_seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use s0Meb0dyyyy/Diff_based_seg with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("s0Meb0dyyyy/Diff_based_seg", 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:
- 3e34f60f7f3720699f01a699df8ddf8a9dbcad41eb75b5a2f3c84603142311a5
- Size of remote file:
- 3.46 GB
- SHA256:
- d8ef9352e4baf07cfd20b4902c86934d941b85478f988b94a0d0115011d6151d
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