Instructions to use GraydientPlatformAPI/vae-orange with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/vae-orange 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/vae-orange", 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
- Xet hash:
- 92ad8b353e9bf31023aa9edfbd17f695028c5d72c75adb03519972119e106f80
- Size of remote file:
- 335 MB
- SHA256:
- d8e7b68fc05f8ebc0475f23bc1e3ca74f5ae87f1fde8b0504d80228806ca4675
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