Instructions to use udg/uberre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use udg/uberre 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/uberre", 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:
- 80bee62d1b5faa437087e09d2419ed87218b08337c44414fbebd6a3a29f06d6a
- Size of remote file:
- 335 MB
- SHA256:
- c8dad136867d672242a10076fb871742fe738df974d8b3219ccf0647af8e0bb6
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