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:
- cc90c9bcfc51dabf6ecfbcd53e9ae093ffdfbe9643ca1b950332386456821aff
- Size of remote file:
- 492 MB
- SHA256:
- 66320485c95cf967a0aab4c26becce247826305f7cf39215ee6794c22d419c77
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