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:
- 32e21000405bf97129affedf7f330558b458839c14cd80e13367043c02018f41
- Size of remote file:
- 5.14 GB
- SHA256:
- 3c6e98ac2451297eb545fbc82a55d9148b67d598e91a4acb976fdc38163c2f42
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