Instructions to use BiliSakura/ddpm-cd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/ddpm-cd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/ddpm-cd", 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:
- 3475759058452578fa006a22e9fd89e303bcc72667371f6aa398a83eae7de93c
- Size of remote file:
- 1.56 GB
- SHA256:
- 92980ede4037dcfec88f4626dd0353d74fa8e303fd867c3d426a6bb5cd416649
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