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:
- 8c436bc78c9eb3caa75a9d9777be7a7d7a69c9cdc1a2d2890e8cc1608293de6c
- Size of remote file:
- 14.8 kB
- SHA256:
- d3fd15f367e0b87d3faaef6fe1fa1bfbf20f41c4411d7ad37ccd2dbd6160615a
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