Example images
Model is fairly versatile, the images are mostly Akagi eating a riceball because it's cute.
All images except one were generated using AOM2-nutmegmixGav2. Pastelmix-fp16 was used for the other.
Negative prompts utilizes bad-artist and bad-artist-anime embeddings from https://huggingface.co/NiXXerHATTER59/bad-artist
Dataset Info
126 manually pruned images from Komowata Haruka's Pixiv and Twitter, with images cropped and divided where appropriate.
1698 manually pruned images from 22 visual novels with SD art done by Komowata Haruka, biased towards more recent works. Some cropping was applied to skew the set towards higher-detail single character images.
Tagging was done via wd14-swinv2-v2 with threshold 0.15. Irrelevant character tags were (mostly) pruned.
Training parameters
"net_dim": 128,
"alpha": 128.0,
"scheduler": "cosine_with_restarts",
"cosine_restarts": 3,
"warmup_lr_ratio": 0.1,
"learning_rate": 0.0001,
"text_encoder_lr": 1e-05,
"unet_lr": 0.0001,
"shuffle_captions": true,
"keep_tokens": null,
"train_resolution": 768,
"lora_model_for_resume": null,
"unet_only": false,
"text_only": false,
"vae": null,
