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lora-training
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# Uzawa Reisa (Blue Archive)
宇沢レイサ (ブルーアーカイブ) / 우자와 레이사 (블루 아카이브)

[**Download here.**](https://huggingface.co/khanon/lora-training/blob/main/reisa/chara-reisa-v3.safetensors)

## Table of Contents
- [Preview](#preview)
- [Usage](#usage)
- [Training](#training)
- [Revisions](#revisions)

## Preview

![Reisa portrait](chara-reisa-v3.png)
![Reisa V](example-001-AOM2NMMElyv3.png)
![Reisa pose](example-002-DefmixRed-v3.png) 

Unfortunately the model frequently struggles with Reisa's halo.

## Usage

Use any or all of these tags to summon Reisa: `reisa, halo, low twintails, pink hair, purple eyes, star hair ornament`
- Hair and eye tags are optional.

She likes to make her `:d` expression by default.  I included images tagged with other expressions, so you should be able to change it, but if not try adding `:d` to the negative prompt.

For her normal outfit: `school uniform, grey shirt, blue jacket, pleated skirt, striped socks, backpack, sneakers`

## Training
*Exact parameters are provided in the accompanying JSON files.*
- Trained on a set of 89 images
  - 13 repeats
  - 3 batch size, 4 epochs
  - `(89*13) / 3 * 4` = 1543 steps
- 768x768 training resolution
- `constant_with_warmup` scheduler instead of `cosine`
- Initially tagged with WD1.4 Convnextv2 model. Tags were edited for accuracy and improved outfit consistency.  Tags for facial expressions, camera angle, and image composition were added.
- Used network_dimension 128 (same as usual) / network alpha 128 (default)
- Trained without VAE.
- [Training dataset available here.](https://mega.nz/folder/jyJAhJ5R#ebcamjoSq1quEZWlUh1qAQ)

## Revisions
- v3 (2023-02-06)
  - Completely re-trained to correct issue where caption files were not being loaded correctly.  New version should have more flexibility but requires additional outfit prompting.
- v2b (2023-01-28)
  - Initial release.
  - **Issue:** caption files were completely ignored during training. As a result, prompting "reisa" grants a very strong effect, but the LoRA is highly overfit.
  - [Download available on Mega.co.nz repository.](https://mega.nz/folder/yjwGiIBD#w79CxW2-Cj66QmObg0zOdg)