Instructions to use Y-Research-Group/Ouroboros with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Y-Research-Group/Ouroboros with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Y-Research-Group/Ouroboros", 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:
- 4d1d09b4b77d96584a42686104e3a18d9823172eb8aa00160a3b226491220e8e
- Size of remote file:
- 6.93 GB
- SHA256:
- 063e8555304bd2c62b96887bbe9ed82d12686d7bb9090de17ba9353e446d6a13
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