Instructions to use GraydientPlatformAPI/vae-klf8anime2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/vae-klf8anime2 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-klf8anime2", 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:
- df4b82d0241b84326c8713f14358898ef2167a76e0605dc2ae301167f85bdd32
- Size of remote file:
- 335 MB
- SHA256:
- 3e174991e5609bc5c2b3995e3f223fb2c5f0ae3be307fa9591b351d837a08770
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