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:
- d962de791883c627061d6f572659ba87775de5d8a17ebac1c820ffe31f654200
- Size of remote file:
- 1.97 MB
- SHA256:
- 1b43a1b912595dff3c49c9c8c74f1f042e1dc8dac937421b9023053c80a7aa72
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