Instructions to use peter168/ddpm-floorplans_tutorial-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use peter168/ddpm-floorplans_tutorial-128 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("peter168/ddpm-floorplans_tutorial-128", 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
Download samples/0099.png from peter168/ddpm-floorplans_tutorial-128: direct link, hf CLI and curl.
- Browser
- Download file 663 kB
-
https://huggingface.co/peter168/ddpm-floorplans_tutorial-128/resolve/ca5c72e739c9b385a723b96b0f8fa112e3409349/samples/0099.png
- Command line
-
hf download hf://peter168/ddpm-floorplans_tutorial-128@ca5c72e739c9b385a723b96b0f8fa112e3409349/samples/0099.png
-
curl -L -o 0099.png https://huggingface.co/peter168/ddpm-floorplans_tutorial-128/resolve/ca5c72e739c9b385a723b96b0f8fa112e3409349/samples/0099.png
663 kB

- Xet hash:
- a4e8207b5017728701841ed50c14b9efbcb0351cd4652a36f7e049f8248eb6c7
- Size of remote file:
- 663 kB
- SHA256:
- df107c81ff44f7c495c981165c2543fdf60a97e59a66aea5d47081feb5be3dea
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