Instructions to use GraydientPlatformAPI/skibidimix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/skibidimix 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/skibidimix", 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:
- 6ee0fbcdff1f48e840113e8f66251d327476eebbbb907789d222dd3831a59190
- Size of remote file:
- 1.39 GB
- SHA256:
- d9a3dc35022f1f02b53580bcbd599fdeb6daa702668c803a4abe468a354cb667
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