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/0064.png from peter168/ddpm-floorplans_tutorial-128: direct link, hf CLI and curl.
- Browser
- Download file 668 kB
-
https://huggingface.co/peter168/ddpm-floorplans_tutorial-128/resolve/394b9f661899b4008f5e2fa5f8ea39db567d1c17/samples/0064.png
- Command line
-
hf download hf://peter168/ddpm-floorplans_tutorial-128@394b9f661899b4008f5e2fa5f8ea39db567d1c17/samples/0064.png
-
curl -L -o 0064.png https://huggingface.co/peter168/ddpm-floorplans_tutorial-128/resolve/394b9f661899b4008f5e2fa5f8ea39db567d1c17/samples/0064.png
668 kB

- Xet hash:
- a56c6c72c80593bfd6636deb6bfdf34e9573a7856788280fb033ed1b75bc755d
- Size of remote file:
- 668 kB
- SHA256:
- 93ff782b96f64663c46630dafd375fa6e448b62d1e5af2b09eaaad9368f91fc4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.