Instructions to use KeyMak/ddpm-floorplans_tutorial-128_bw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KeyMak/ddpm-floorplans_tutorial-128_bw with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KeyMak/ddpm-floorplans_tutorial-128_bw", 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:
- 9f77c41c417e81ec18789940b0920342fb1b836aede759baa823f892d0a7c233
- Size of remote file:
- 150 MB
- SHA256:
- 7df10d2e579af5a95638a34acaf4db00801066fc4aab5916b062266bb2178f0a
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