Instructions to use mightyneighbor/sd-1.5-consistency-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mightyneighbor/sd-1.5-consistency-model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mightyneighbor/sd-1.5-consistency-model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 177598ed32460fe66d1c81e5714ac2648b25519a724fbe5270b922aca200b773
- Size of remote file:
- 135 MB
- SHA256:
- 8f95753ed692a0df56a800bdf109591dd63787a9dc307995dcc3ee547a23b771
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