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:
- 052d5551a8445e231e6cb1d6218a90940f27aef39bbefa341dbffca1e245d49f
- Size of remote file:
- 652 kB
- SHA256:
- 0326c70c16279e1dca5d2469427f776e88130856211142311c0f9b345211b4fc
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