Instructions to use udg/bra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use udg/bra 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/bra", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 5b5b9982f1c957acf2de40f5d8256323b04eab078937c9c133235ed124c6ed2f
- Size of remote file:
- 335 MB
- SHA256:
- 945a8a1264684c8ee47cc0be7f0f7ce14386452a4e1caaee2059de85b6893ced
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