adds old Kokona LoRA from mega.co.nz
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kokona/README.md
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# Sunohara Kokona (Blue Archive)
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`china dress, vertical-striped dress, white skirt, frilled skirt, off-shoulder, jacket`
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Weights close to 1 work well
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## Training
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*All parameters are provided in the accompanying JSON files.*
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- Trained on 95 curated images, repeated 7 times (665 total images / 3 batchsize = ~222 iterations per epoch, 3 epochs)
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- 1.5e-5 learning rate, same as Iroha.
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- Dataset was tagged with WD1.4 interrogator. Shuffling was enabled.
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- `kokona, blue archive` were added to the start of each caption. keep_tokens=2 was set to prevent shuffling those tokens.
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# Sunohara Kokona (Blue Archive)
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春原ココナ (ブルーアーカイブ) / 스노하라 코코나 (블루 아카이브) / 春原心奈 (碧蓝档案)
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Note: This is an older model and does not perform as well. It is somewhat difficult to change Kokona's outfit due to poor tagging and a small dataset. I will re-train the model at some point to resolve these issues.
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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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![Kokona Preview](example-kokona-003-v1.png)
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## Usage
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Use any or all of these tags to summon Kokona: `1girl, halo, animal ears, orange eyes, long hair, grey hair`
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For her normal outfit: `china dress, vertical-striped dress, white skirt, frilled skirt, off-shoulder, jacket`
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Somewhat frequently, a strange, mysterious man in a black suit likes to appear out-of-frame beside her. You can banish him with `1boy` in the negative prompt. Not sure why this happens as there was nothing like it in the training data.
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The AI is generally pretty good at picturing her, but it struggles with her pout. Try various combinations of `pout`, `:t`, `pouting` and negative prompt `wavy mouth` to try to get it to appear correctly, or just use img2img without the LoRA. It seems to be related to the LoRA since vanilla NAI can do pouting just fine.
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Her stamp is in the training data and it somewhat knows what it is, but is probably too small to be recognized by the AI.
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Weights close to 1 work well. **It is recommended that you only use NAI/Anything3.0 VAE, otherwise colors will be highly oversaturated.**
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## Training
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*All parameters are provided in the accompanying JSON files.*
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- Trained on 95 curated images, repeated 7 times (665 total images / 3 batchsize = ~222 iterations per epoch, 3 epochs)
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- 1.5e-5 unet learning rate, 1.5e-4 text learning rate
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- Dataset was tagged with WD1.4 interrogator. Shuffling was enabled.
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- `kokona, blue archive` were added to the start of each caption. keep_tokens=2 was set to prevent shuffling those tokens.
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- - [Training dataset available here.](https://mega.nz/folder/PmxRXBQb#OtiviAH0R4R0E-QeWk1W9w)
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## Revisions
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- v1 (2023-01-12)
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- Initial release.
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- **Note:** this is an old model from 2023-01-12 and is not as flexible as my newer models, however it still works pretty well. I'll try to re-train it soon with improved tagging and training parameters so that Kokona can be customized further.
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kokona/chara-kokona.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c9478717cbdf0d198f4ceab2c5f6af8e1cb5707882eed594450ef7897b40567
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size 151073665
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kokona/{example-kokona-001.png → example-kokona-001-v1.png}
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kokona/{example-kokona-002.png → example-kokona-002-v1.png}
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kokona/example-kokona-003-v1.png
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Git LFS Details
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