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:
- e874ff7cecd53ff52f26a50e85b18994c5929fa72c2a5ad633eadddd4f1d6379
- Size of remote file:
- 1.4 kB
- SHA256:
- dbaa2141114e330cb477d2cbb6c278c813a76b4f8aaa5ce804dabf96cf0fd4cf
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