Instructions to use KIMCAHLLIE/shinkai-style-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KIMCAHLLIE/shinkai-style-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("KIMCAHLLIE/shinkai-style-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things

- Xet hash:
- 2800c53cd998f1be416de2ee9d02a9e0e5c349a4e6260ce2be57e05647a6ae1b
- Size of remote file:
- 1.5 MB
- SHA256:
- 84e80d3764843632905ff3ec5613bf595b1168a767d0e03ca993ceefc93ee6f8
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