| # Sunohara Kokona (Blue Archive) | |
| 春原ココナ (ブルーアーカイブ) / 스노하라 코코나 (블루 아카이브) / 春原心奈 (蔚藍檔案) | |
| 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. | |
| [Download here.](chara-kokona.safetensors) | |
| ## Table of Contents | |
| - [Preview](#preview) | |
| - [Usage](#usage) | |
| - [Training](#training) | |
| - [Revisions](#revisions) | |
| ## Preview | |
|  | |
| ## Usage | |
| Use any or all of these tags to summon Kokona: `1girl, halo, animal ears, orange eyes, long hair, grey hair` | |
| For her normal outfit: `china dress, vertical-striped dress, white skirt, frilled skirt, off-shoulder, jacket` | |
| 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. | |
| 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. | |
| 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. | |
| Weights close to 1 work well. **It is recommended that you only use NAI/Anything3.0 VAE, otherwise colors will be highly oversaturated.** | |
| ## Training | |
| *All parameters are provided in the accompanying JSON files.* | |
| - Trained on 95 curated images, repeated 7 times (665 total images / 3 batchsize = ~222 iterations per epoch, 3 epochs) | |
| - 1.5e-5 unet learning rate, 1.5e-4 text learning rate | |
| - Dataset was tagged with WD1.4 interrogator. Shuffling was enabled. | |
| - `kokona, blue archive` were added to the start of each caption. keep_tokens=2 was set to prevent shuffling those tokens. | |
| - - [Training dataset available here.](https://mega.nz/folder/PmxRXBQb#OtiviAH0R4R0E-QeWk1W9w) | |
| ## Revisions | |
| - v1 (2023-01-12) | |
| - Initial release. | |
| - **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. | |