Instructions to use johnowhitaker/sd-class-wikiart-from-bedrooms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use johnowhitaker/sd-class-wikiart-from-bedrooms with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("johnowhitaker/sd-class-wikiart-from-bedrooms", 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:
- 116ba42c7fd1d5e43e6c38384dc5c7b7510182a971b1fd0ef6b35144c88028f2
- Size of remote file:
- 455 MB
- SHA256:
- 9e2d975d46abb5aea1ef44523decae3d792d007740490eff9795e1a959e0e71a
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