| # Igusa Haruka (Blue Archive) | |
| 伊草ハルカ (ブルーアーカイブ) / 이구사 하루카 (블루 아카이브) / 伊草春香 (碧蓝档案) | |
| [**Download here.**](https://huggingface.co/khanon/lora-training/blob/main/haruka/chara-haruka-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 Haruka: `haruka, 1girl, halo, short hair with long locks, purple eyes` | |
| For her normal outfit: `school uniform, hairclip, purple jacket, collared shirt, juliet sleeves, belt, miniskirt, black skirt, boots` | |
| - The AI is slightly stubborn with Haruka's normal outfit, likely because she doesn't have much art that does not feature long sleeves of some sort. | |
| - To remove her jacket sleeves, prompt `sleeveless` and use `long sleeves` in the negative prompt. | |
| - To remove the purple bowtie/tie clip, prompt `collarbone` and use `bowtie` in the negative prompt. | |
| For her nervous/creepy smile: `nervous smile, nervous, sweat, wavy mouth, [closed mouth:parted lips:0.75]` | |
| - Use `sanpaku, constricted pupils, crazy eyes, yandere` or similar for more intense expressions. | |
| [Here is a list of all tags including in the training dataset, sorted by frequency.](all_tags.txt) | |
| ## Training | |
| *Exact parameters are provided in the accompanying JSON files.* | |
| - Trained on a set of 143 images. | |
| - 138 without "multiple views" (9 repeats) | |
| - 5 "multiple views" (4 repeats) | |
| - 3 batch size, 4 epochs | |
| - `(138 * 9 + 5 * 4) / 3 * 4` = 1683 steps | |
| - 0.083 loss | |
| - Initially tagged with WD1.4 swin-v2 model. Tags pruned/edited for consistency. | |
| - [Tagging methodology detailed here.](tagging%20methodology.md) | |
| - `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 832x832. | |
| - Trained without VAE. | |
| ## Revisions | |
| - v1b (2023-02-23) | |
| - Initial release. | |