Instructions to use maxmarcon/klimt-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maxmarcon/klimt-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maxmarcon/klimt-diffusion", 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:
- d896eda27bc1b8e9fe02d2d9c56a1fb0eadc9742497cfd0c42401163b30b6bf5
- Size of remote file:
- 910 MB
- SHA256:
- 9a43ea9b428ba2fb50fe076ef96b8d7242ddc8b74a02eb971aac586360b3c0dd
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