Instructions to use google/ddpm-church-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use google/ddpm-church-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("google/ddpm-church-256", 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:
- c9bb87e84f4045a25a76ee4c2540a5165e52f91308a77ffa3db5d08bc784bfd4
- Size of remote file:
- 455 MB
- SHA256:
- 3111c176c9848d8d9b91d6fb8e2aa2945c220845aced8f47efb44f9deadd412c
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