Instructions to use peter168/ddpm_floorplans_128_multidimCond_mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use peter168/ddpm_floorplans_128_multidimCond_mix 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_mix", 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
File size: 130 Bytes
42897c7 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:764642e7d3accc82d34867c17e8a5fc61aed0ac715508fcbd2394f0bdfd29b2f
size 63344
|