Instructions to use fusing/ffhq_ncsnpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/ffhq_ncsnpp with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/ffhq_ncsnpp", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
b2d5b71
1
Parent(s): 9370a9e
Update config.json
Browse files- config.json +2 -1
config.json
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@@ -71,5 +71,6 @@
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"UNetResSkipUpBlock2D",
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"UNetResSkipUpBlock2D"
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],
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"center_input_sample": true
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}
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"UNetResSkipUpBlock2D",
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"UNetResSkipUpBlock2D"
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],
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"center_input_sample": true,
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"num_head_channels": 1,
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}
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