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# 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
_[Uses this first-pass ControlNet input (scribble preproessor)](example-002-controlnet-input.png)._
## 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.
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