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:
- d19c85714c9ce08894d299251bca1b4d30be35634d424d0180f908c5b8f835f6
- Size of remote file:
- 776 kB
- SHA256:
- a0d705cbd85ac66af688cf5cb71365d602c2b9bd78b510a6d06dface7f1a22e1
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