Keanggotaan PixAI
PixAI
PixAI
Generate
Sign in
Beranda
Buat
Model
Studio
NEW
Kontes
Buat dengan Mio.2

Conversational creation

Toolbox
NEW
Dokumen PixAI

LoRA Pengguna

SD

Female Miqo'te (Final Fantasy 14 | FFXIV) | LoCon

#Mature Female#Tail#Cat#Final Fantasy XIV#Miqo'te#Cat tail#Slit pupils#Video Game#Girl#Cat girl

Alat AI

  • OC Maker
  • AI Anime Generator
  • VTuber Maker
  • Sonic OC Maker
  • Hazbin Hotel OC Maker
  • Anime Character Creator
  • AI Figure Generator
  • Genshin OC Maker
  • All AI Tools

Temukan

  • Tag Populer
  • Peringkat
  • Model Market
  • Kontes
  • Berita

Tentang

  • Dokumen PixAI
  • Cara Menggunakan PixAI
  • Tsubaki.2
  • Kenalan dengan Mio
  • Aturan Konten

Harga & Bantuan

  • Keanggotaan
  • Paket Kredit
  • Kontak

Aplikasi Seluler

  • Dapatkan aplikasi PixAI
  • App Store
  • Google Play
© 2026 PixAI
  • Ketentuan Layanan
  • Kebijakan Privasi
  • Kebijakan Hak Cipta
  • Atribusi
  • Undang-Undang Transaksi Komersial Tertentu
Female Miqo'te (Final Fantasy 14 | FFXIV) | LoCon - AI Model cover image
Diunggah pada
2 Mei 2024, 22.32
Penggunaan
591
Ulasan
Luar Biasa  (1)
Kata Pemicu

miqo'teManityro, miqo'te, slit pupils, whisker markings, cat ears, cat tail

Izin
  • Izinkan pembuatan & berbagi gambar
  • Izinkan pengguna mengunduh model Anda
  • Penggunaan komersial

Deskripsi

Female Miqo'te from Final Fantasy 14. Works best around 1.0. Training done on NAI.

Trigger: "Miqo'teManityro, miqo'te, slit pupils, whisker markings, cat ears" always needed, optionally add "cat tail".

Suggestions/notes:

Use any combination of hair styles, eye color, clothing to make a Miqo'te to your tastes. This was trained to be flexible. The face markings appear consistently but the number of them can be 2 or 3 so beware it will be random. "Slit pupils" are hit/miss due to SD but adetailer and the different base models can help.

"cat tail" is still very random due to SD being bad at tails.

I wanted to make an attempt at Miqo'te as I found that there were not that many consistent loras for them. The focus was getting the Ears and Face markings right which work very well but the number of them can be a bit random. Plan is the search through the many many Miqo'te images online and prepare a better dataset for V2 down the line. Nonetheless I hope you all enjoy.

Feedback and reviews are always appreciated.

Nerdy training numbers: Trained on D8Dreambooth trainer Optimizer: AdawW Dadaptation Training resolution: 768 Unet LR: 1 Tnec LR: 1 Unet weight decay: 0.012 Tenc weight decay: 0.016 25 Epochs - 5500 Steps Trained on 110 images using Reg images.

Komentar