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:
- 062bac70d89d30e72b885493d07620a059b4037937d1d37153327c13056661c5
- Size of remote file:
- 176 MB
- SHA256:
- 8b2214ccc1aa96b62bff1e810a64d81225495dd0b6500e26c11cc41c388d43b3
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