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:
- 34691ceb8763462d37585e7239566b3b068717cc9868902c47b253ebeb13ee67
- Size of remote file:
- 3.44 GB
- SHA256:
- a25884f85944bae7f54b1a08911417dfe9c8b671f619f3c1a4806da5dacf15c7
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