Instructions to use Mars567/ddpm-pokemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mars567/ddpm-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("Mars567/ddpm-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:
- 437e0f62296bd9b5608615ed91f7588ff933811534f74e129959a88c278accc2
- Size of remote file:
- 910 MB
- SHA256:
- 4c49db247334fac88abc0a074eb3cb74a2a597908ce8495ec1a77621752e5d35
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