Instructions to use ziewoo/bbaurora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ziewoo/bbaurora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ziewoo/bbaurora", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fa1d0dea6f128202c6e2e5286799213472ab4769317361fed1160412797babbe
- Size of remote file:
- 335 MB
- SHA256:
- c2dd96112eec94634917345bf8cb0b2ef3adcd39d936b46352edb7415d76d6b6
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