Instructions to use diffusers/ddpm_dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffusers/ddpm_dummy with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("diffusers/ddpm_dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "UNetModel" | |
| ], | |
| "channels": 3, | |
| "diffusers_version": "0.0.1", | |
| "dim": 8, | |
| "dim_mults": [ | |
| 1, | |
| 2 | |
| ], | |
| "init_dim": null, | |
| "learned_variance": false, | |
| "model_type": "unet", | |
| "out_dim": null, | |
| "resnet_block_groups": 2, | |
| "with_time_emb": true | |
| } | |