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lterriel/stylegan-sigillography
stylegan-sigillography is a machine learning model from lterriel. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as cc-by-sa-4.0.
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Updated Feb 28, 2026
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From the Hugging Face model README

This repository includes all models trained with StyleGAN3 (PyTorch/NVIDIA) on digitized images of imprint seals from the National Archives of France ( See the section below for more details on dataset) collections. These experiments were conducted for educational and research purposes at for applications such as data augmentation, image retrieval, fakes creation for historical studies etc.
The training dataset contains 6031 digitized images of imprint seals (accessible from the portal of the National Archives of France) which extend over the period 457-1852. The seals are divided into the following collections:
The images were scraped automatically via a script.
reals seals samples :

fake seals samples during training :

### Models
Training was done on NVIDIA GeForce RTX 2080 Ti.
Currently, This repository contains three different models :
| Model name | Config | image size input | GPUs | Batch size | Gamma | Final tick | Final Fid50k_full score |
|---|---|---|---|---|---|---|---|
| seals-stylegan2-256x256_v1.pkl | stylegan2 | 256x256 | 1 | 4 | 6.6 | 920 | 9.46 |
| seals-stylegan2-128x128_v1.pkl | stylegan2 | 128x128 | 1 | 4 | 6.6 | 800 | 7.93 |
| seals-stylegan3-r-256x256_v1.pkl | stylegan3-r | 256x256 | 1 | 4 | 6.6 | 880 | 9.39 |