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:
- 37b179b1fa7561d4f89ec31ee3fed4619912553b9bc6ef78b1a6df805cb49d5c
- Size of remote file:
- 492 MB
- SHA256:
- d138fbb27211e72a8aa516941da8f30791982b275a5c3356065a80711a8d7e1b
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