Instructions to use GraydientPlatformAPI/vae-markers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/vae-markers 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-markers", 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:
- de7d50c6b5160d6705fb2d920098221ead071947e79925b9bcb0c4433a188cde
- Size of remote file:
- 335 MB
- SHA256:
- d55443a2d9d4d9decdbe669c51cc6d91eb6a2297477624e2e16a3054f30c2f5a
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