Instructions to use alkzar90/sd-class-ukiyo-e-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alkzar90/sd-class-ukiyo-e-256 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-256", 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:
- 8f01e3f088f0712a8a401bf7eaf5fbb7ee9fad52db6d23459f705d4b10cdd51f
- Size of remote file:
- 455 MB
- SHA256:
- 7b7a22c7df2e07b71c6ad2f5653ba05ad7ea86d795f5df175f68532d391c5792
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