Instructions to use GraydientPlatformAPI/jug11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/jug11 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/jug11", 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:
- feb97395357bc41e4411391773d3a6b1b7bc035ff17ba811b2654f1f9b3385a0
- Size of remote file:
- 1.39 GB
- SHA256:
- 2e1749adf98856a94152a0f55e6092002f19fc1705697af57e7a888cd6c8100a
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