| # Nemugaki Fubuki (Blue Archive) | |
| 合歓垣フブキ (ブルーアーカイブ) / 네무가키 후부키 (블루 아카이브) / 合歓垣吹雪 (碧蓝档案) | |
| [**Download here.**](https://huggingface.co/khanon/lora-training/blob/main/fubuki/chara-fubuki-v1b.safetensors) | |
| ## Table of Contents | |
| - [Preview](#preview) | |
| - [Usage](#usage) | |
| - [Training](#training) | |
| - [Revisions](#revisions) | |
| ## Preview | |
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| _[Uses this first-pass ControlNet input (scribble preproessor)](example-002-controlnet-input.png)._ | |
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| ## Usage | |
| Use any or all of the following tags to summon Fubuki: `fubuki, 1girl, twintails, streaked hair, antenna hair, heart hair ornament, red eyes` | |
| For her normal outfit: `police uniform, white jacket, blue vest, blue necktie, collared shirt, pencil skirt, black pantyhose, red sneakers` | |
| For her accessories: `doughnut, holding food, police badge, traffic baton, police hat` | |
| For her smug expression: `smug, jitome, smile` + `closed mouth` / `open mouth` | |
| - `jitome` refers to the flat-topped eye shape and can be used without `smug` if you prefer. | |
| - Using `smug` without specifying `closed mouth` or `open mouth` tends to look strange, as though the AI tries to do both. | |
| [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 137 images. | |
| - 72 without "holding food" (10 repeats) | |
| - 65 "holding food" (8 repeats) | |
| - Fubuki is so commonly seen holding a doughnut that these needed to be reduced to avoid overfitting. | |
| - 3 batch size, 4 epochs | |
| - `(72 * 10 + 65 * 8) / 3 * 4` = 1654 steps | |
| - 0.083 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 832x832. | |
| - For some reason, 832 performed better than 768 on Fubuki's LoRA, unlike the Junko's. The difference was not substantial, however. | |
| - Trained without VAE. | |
| - [Training dataset available here.](https://mega.nz/folder/b25mDTIA#lGdhQu6tBUGXco6-aPEAOg) | |
| ## Revisions | |
| - v1b (2023-02-18) | |
| - Initial release. | |