Instructions to use JKSoon/sd-class-pokemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JKSoon/sd-class-pokemon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JKSoon/sd-class-pokemon", 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:
- 62e23fdd3c86f6a9f735d351cb45e768ddd7b250b9434b95ffba67dbbdd01aca
- Size of remote file:
- 74.3 MB
- SHA256:
- 632c5de47e468d00be888f73e88122081851ccc9ee504155d9c5707c6aaa1d8e
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