Instructions to use GraydientPlatformAPI/wd-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/wd-vae 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/wd-vae", 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:
- f8f1762ecfc0833561ffa8d30d617a5d31fb535cc23350a2ec2a95e436f690ca
- Size of remote file:
- 335 MB
- SHA256:
- 1b134cded8eb78b184aefb8805b6b572f36fa77b255c483665dda931fa0130c5
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