Instructions to use Cybernaut101/ddpm-floorplans_tutorial-128_002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cybernaut101/ddpm-floorplans_tutorial-128_002 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cybernaut101/ddpm-floorplans_tutorial-128_002", 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:
- 93d6c8cceaba6d0a99fcf35dd081426951723f47f1b019a9ad3df41b712ce8b6
- Size of remote file:
- 455 MB
- SHA256:
- e32a88879a99cb823113ab0bf4ec4110a058b8c879a87d95fc31a027fbe670ad
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