Instructions to use vinay72761/ddpm-floorplans_tutorial-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vinay72761/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("vinay72761/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
Commit History
-
Upload model
Verified signatured1269ba -
Epoch 99
5aec501 -
Epoch 89
51ae1d4 -
Epoch 79
d2d1468 -
Epoch 69
371f005 -
Epoch 59
476106d -
Epoch 49
b9ba736 -
Epoch 39
952f6ab -
Epoch 29
73a514b -
Epoch 19
6868bbc -
Epoch 9
4f6dee6 -
Upload model
Verified signaturefd393de -
Epoch 19
885a866 -
Epoch 9
b6c2ff2 -
Upload model
Verified signaturec7053d8 -
initial commit
Verified signature6b22846