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
File size: 286 Bytes
be5dd93 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"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
}
|