| # Akashi Junko (Blue Archive) | |
| 赤司ジュンコ (ブルーアーカイブ) / 아카시 준코 (블루 아카이브) / 赤司淳子 (碧蓝档案) | |
| [**Download here.**](https://huggingface.co/khanon/lora-training/blob/main/junko/chara-junko-v1c.safetensors) | |
| ## Table of Contents | |
| - [Preview](#preview) | |
| - [Usage](#usage) | |
| - [Training](#training) | |
| - [Revisions](#revisions) | |
| ## Preview | |
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| ## Usage | |
| Use any or all of the following tags to summon Junko: `junko, slit pupils, demon horns, halo, twintails, hair ribbon, pointy ears, demon wings` | |
| - You can also use `low wings` if the wings appear too high. | |
| For her normal outfit: `military uniform, short sleeves, black shirt, plaid skirt, red necktie, thigh strap, black boots` | |
| For her New Year alt: `japanese clothes, yellow kimono, black hakama skirt, black boots, kinchaku` | |
| For her normal expression: `closed mouth, smile, :3` | |
| - You may need to prefix the colon with a backslash character. | |
| For her hangry expression: `open mouth, wavy mouth, skin fang, (tearing up, crying with eyes open:0.5)` | |
| - The AI is very aggressive about drawing tears/crying. You may need to reduce the emphasis. | |
| ## Training | |
| *Exact parameters are provided in the accompanying JSON files.* | |
| - Trained on a set of 140 images. | |
| - 131 normal images (9 repeats) | |
| - 9 "multiple views" images (6 repeats) | |
| - These were reduced because the AI was generating too many "multiple views" images. | |
| - 3 batch size, 4 epochs | |
| - `(131 * 9 + 9 * 6) / 3 * 4` = 1644 steps | |
| - 0.0749 loss | |
| - Initially tagged with WD1.4 swin-v2 model. Tags pruned/edited for consistency. | |
| - `constant_with_warmup` scheduler | |
| - 1.5e-5 text encoder LR | |
| - 1.5e-4 unet LR | |
| - 1e-5 optimizer LR | |
| - Used network_dimension 128 (same as usual) / network alpha 128 (default) | |
| - Resized to 32 after training | |
| - Training resolution 768x768. | |
| - Reduced from 832x832. Junko doesn't really have many very fine details that benefit from the higher resolution, and I think training at 832x832 may negatively impact the quality of images generated at lower resolutions. | |
| - Trained without VAE. | |
| - [Dataset can be found on the mega.co.nz repository.](https://mega.nz/folder/SnQDnCRD#ruLvChZGf2vQtWJN87Qs0Q) | |
| ## Revisions | |
| - v1c (2023-02-15) | |
| - Initial release. | |