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:
- 3c05a9e71122515a8c406f0bc8979fbcd523cb0324ebb15223d37f01bc22f8e5
- Size of remote file:
- 3.44 GB
- SHA256:
- c9d197ca2d6e1518a6309cc8b4ccc471351f47f2149a87597af6b53f5e231367
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