Instructions to use GraydientPlatformAPI/cat-citron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/cat-citron 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/cat-citron", 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:
- 39d9d602e1db5e231a3313494ecde629ce78dd6f714748d29525abfe2639c520
- Size of remote file:
- 1.72 GB
- SHA256:
- 6d1848ce94cec4737662deca286dbda2a5aa99be8abf44e6d949c719797ac5de
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