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
Ctrl+K
- 712 kB xet
- 637 kB xet
- 655 kB xet
- 673 kB xet
- 683 kB xet
- 686 kB xet
- 690 kB xet
- 657 kB xet
- 651 kB xet
- 612 kB xet
- 599 kB xet
- 588 kB xet
- 654 kB xet
- 621 kB xet
- 657 kB xet
- 611 kB xet
- 573 kB xet
- 486 kB xet
- 555 kB xet
- 551 kB xet
- 522 kB xet
- 651 kB xet
- 578 kB xet
- 611 kB xet
- 609 kB xet
- 602 kB xet
- 589 kB xet
- 600 kB xet
- 556 kB xet
- 573 kB xet
- 545 kB xet
- 568 kB xet
- 564 kB xet
- 555 kB xet
- 553 kB xet
- 578 kB xet
- 599 kB xet
- 610 kB xet
- 601 kB xet
- 594 kB xet
- 572 kB xet
- 575 kB xet
- 583 kB xet
- 532 kB xet
- 511 kB xet
- 509 kB xet
- 485 kB xet
- 449 kB xet
- 434 kB xet
- 427 kB xet