Instructions to use peter168/ddpm_floorplans_128_multidimCond_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use peter168/ddpm_floorplans_128_multidimCond_2 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_128_multidimCond_2", 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
- 414 kB xet
- 461 kB xet
- 487 kB xet
- 447 kB xet
- 357 kB xet
- 434 kB xet
- 427 kB xet
- 396 kB xet
- 501 kB xet
- 485 kB xet
- 490 kB xet
- 474 kB xet
- 442 kB xet
- 429 kB xet
- 437 kB xet
- 411 kB xet
- 392 kB xet
- 323 kB xet
- 296 kB xet
- 259 kB xet
- 187 kB xet
- 182 kB xet
- 170 kB xet
- 185 kB xet
- 220 kB xet
- 204 kB xet
- 156 kB xet
- 180 kB xet
- 207 kB xet
- 172 kB xet
- 176 kB xet
- 161 kB xet
- 225 kB xet
- 230 kB xet
- 223 kB xet
- 192 kB xet
- 185 kB xet
- 183 kB xet
- 191 kB xet
- 202 kB xet