Instructions to use GraydientPlatformAPI/uranus-haha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/uranus-haha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/uranus-haha", 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:
- bab63af2151a6dd739424bb0811cb6f1c1df114eb94956cd97ea787b40d15ffb
- Size of remote file:
- 5.14 GB
- SHA256:
- 15b408cb636d26e990aab44cadb947b3cadab6987060548d81adf2fd6f81c05b
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