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# Nemugaki Fubuki (Blue Archive) |
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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) |
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[**Download here.**](https://huggingface.co/khanon/lora-training/blob/main/fubuki/chara-fubuki-v1b.safetensors) |
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## Table of Contents |
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- [Preview](#preview) |
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- [Usage](#usage) |
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- [Training](#training) |
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- [Revisions](#revisions) |
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## Preview |
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![Fubuki portrait](chara-fubuki-v1b.png) |
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![Fubuki preview 1](example-001b-v1b.png) |
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![Fubuki preview 2](example-002b-v1b.png) |
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_[Uses this first-pass ControlNet input (scribble preproessor)](example-002-controlnet-input.png)._ |
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![Fubuki preview 3](example-003b-v1b.png) |
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## Usage |
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Use any or all of the following tags to summon Fubuki: `fubuki, 1girl, twintails, streaked hair, antenna hair, heart hair ornament, red eyes` |
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For her normal outfit: `police uniform, white jacket, blue vest, blue necktie, collared shirt, pencil skirt, black pantyhose, red sneakers` |
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For her accessories: `doughnut, holding food, police badge, traffic baton, police hat` |
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For her smug expression: `smug, jitome, smile` + `closed mouth` / `open mouth` |
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- `jitome` refers to the flat-topped eye shape and can be used without `smug` if you prefer. |
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- Using `smug` without specifying `closed mouth` or `open mouth` tends to look strange, as though the AI tries to do both. |
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[Here is a list of all tags including in the training dataset, sorted by frequency.](all_tags.txt) |
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## Training |
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*Exact parameters are provided in the accompanying JSON files.* |
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- Trained on a set of 137 images. |
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- 72 without "holding food" (10 repeats) |
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- 65 "holding food" (8 repeats) |
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- Fubuki is so commonly seen holding a doughnut that these needed to be reduced to avoid overfitting. |
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- 3 batch size, 4 epochs |
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- `(72 * 10 + 65 * 8) / 3 * 4` = 1654 steps |
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- 0.083 loss |
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- Initially tagged with WD1.4 swin-v2 model. Tags pruned/edited for consistency. |
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- `constant_with_warmup` scheduler |
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- 1.5e-5 text encoder LR |
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- 1.5e-4 unet LR |
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- 1e-5 optimizer LR |
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- Used network_dimension 128 (same as usual) / network alpha 128 (default) |
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- Resized to 32 after training |
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- Training resolution 832x832. |
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- For some reason, 832 performed better than 768 on Fubuki's LoRA, unlike the Junko's. The difference was not substantial, however. |
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- Trained without VAE. |
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- [Training dataset available here.](https://mega.nz/folder/b25mDTIA#lGdhQu6tBUGXco6-aPEAOg) |
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## Revisions |
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- v1b (2023-02-18) |
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- Initial release. |
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