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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c72b8365b8e0fc5dce15ac5abce40f6857de805bc0b94063251f2c11ec8c031f
- Size of remote file:
- 492 MB
- SHA256:
- fcfd7b91edd778e8f50e9c23461e16926f29877f1cdec54e97923d26181e0034
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