2.0版本更新
该版本共使用10360张图训练,以下是支持的所有角色以及训练集对应的数量:
Version 2.0 Update
This version was trained on a total of 10,360 images. Below is a list of all supported characters along with the corresponding number of examples in the training set.
gotoh_hitori: 5032
kita_ikuyo: 2432
ijichi_nijika: 2338
yamada_ryo: 2066
hiroi_kikuri: 1276
pa-san: 495
ijichi_seika: 447
gotoh_futari: 129
gotoh_michiyo: 70
The model supports a total of 4 characters and was trained using 4,211 images. Each character has a minimum of 500 images, and special inclusion was made for dual and multiple character illustrations.
prompt:
(score_9,score_8_up,score_7_up,score_6_up,score_5_up,score_4_up
Negative prompt:
(score_4,score_5,score_3,score_2,score_1)
感谢我的朋友@Tonade 提供的四人封面。
Training model: Pony Diffusion V6 XL
Inference model: Pony Diffusion V6 XL / T-ponynai3
Training resolution: 1024*1024
Recommended output resolution: 1024*1280
Recommended model weight: 0.8~1
Discord : https://discord.com/invite/CFpyHceF52
Recommended dataset collection and processing tools: https://github.com/deepghs/waifuc
Possibly the most user-friendly dataset processing UI currently in use.: https://github.com/Eugeoter/sd-dataset-manager