Instructions to use alkzar90/sd-class-ukiyo-e-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alkzar90/sd-class-ukiyo-e-32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alkzar90/sd-class-ukiyo-e-32", torch_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
- Xet hash:
- 9738843d11b7f077ae943587d028e1f363912ba414ac18af3e31b267b26b4163
- Size of remote file:
- 74.3 MB
- SHA256:
- a671d375e73b693009cd822507bf314534f54e1126d03433a9e0e3a89403682c
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