Instructions to use satani/uber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use satani/uber with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("satani/uber", torch_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:
- 989323e18d3af11e4f87fa764cea9b9885fef39f62f7585d9173c485e07e36b4
- Size of remote file:
- 246 MB
- SHA256:
- ef2e824bccdc59f629ba0adfde5ff5ffe16a9828a988c53ee99ebb40632fc7f2
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