Instructions to use udg/cybrea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use udg/cybrea with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("udg/cybrea", 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:
- a6eb31d2c73f772e62631a079b7281922c65dedf20bbc8e645c58478abf9aece
- Size of remote file:
- 335 MB
- SHA256:
- ed74b9ad5165216ea3ba00c7a6f6ae1ae260f8e0e48a906191e617788d1640ae
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