Instructions to use salmonhumorous/ukeiyo-style-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use salmonhumorous/ukeiyo-style-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("salmonhumorous/ukeiyo-style-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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3c867f45a0941aaf0f31ba6559afad3fa6b8cbc5d0988ede0ba52b60b0850abf
- Size of remote file:
- 1.72 GB
- SHA256:
- 6d6c8206cb06d4ba478ca945566636d06c25305456f837037301b50334ec1ce3
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