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:
- bfa1e26eac9504f458a70948f79527109514ebe404b331a8846983d7ff011dcd
- Size of remote file:
- 246 MB
- SHA256:
- 925c8be544e732a2c2997d9a0240321da876ebe2274a6df249fd939635d44fad
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