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:
- 144b5f084e4fda0f2fcba73a0564caada1a95e9d2d393a8b56b5c1136e339ec5
- Size of remote file:
- 910 MB
- SHA256:
- 1b5e2c203f846e8fa1bd8b89836d56129a007697341bce9bad4889b1fb34ce5f
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