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
- Draw Things
- DiffusionBee
- Xet hash:
- b9b9afbaa060d2b1795fbeffa1633f3272f1239bd55736f135554220b5ed7ddb
- Size of remote file:
- 1.39 GB
- SHA256:
- c9b2f5d25021b9031d66ad3f8613bae0d44567473f19842894178649177cec3a
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