# 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 ![Fubuki portrait](chara-fubuki-v1b.png) ![Fubuki preview 1](example-001b-v1b.png) ![Fubuki preview 2](example-002b-v1b.png) _[Uses this first-pass ControlNet input (scribble preproessor)](example-002-controlnet-input.png)._ ![Fubuki preview 3](example-003b-v1b.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. ## Revisions - v1b (2023-02-18) - Initial release.