Instructions to use rdruce/ddpm-flowers-128-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rdruce/ddpm-flowers-128-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rdruce/ddpm-flowers-128-2", 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:
- ab9dfd50afafaac61455fca1c8caf0250dd74cb203d62e03df06f8ff99afc44f
- Size of remote file:
- 455 MB
- SHA256:
- 86c6d66b5b06830e400c88b851d40e4e5ee51392fe33031a1ed783b14be10478
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