Details
Related
v1.00
Yomiga (Rizline)

Yomiga (Rizline)

0
1
95
#Anime
#Character
#Female
#woman
#Game Character
#girls

Yomiga

Character: Yomiga (Rizline)

Attire: Original only

Pixiv post is here

Usage (Important!)

Prompts

Positive Prompts: <lora:yomiga-v100:0.8>, 1girl, long hair, bangs, blue eyes, blue hair, ???? shoulders, buttoned white dress, long sleeves, headphones, choker

Negative Prompts: animal

Reliability

Grading Criteria: Successfully replicates white dress as a base, especially with buttons on the dress. No excessive buttons nor straps. Generating with self-suggested prompts as mentioned above.

Success Rate: Around 45%

Other

Image details

Training Details

  • Trained on mostly original attire + few non-canon

  • Images were scraped with the tags Rizline on Pixiv then handpicked only images with Yomiga and cropped. Also, official art from the game has been used.

  • Training data does NOT include R-18 content. There were 0 during data collection.

  • See individual release descriptions for more information.

View Translation

Rating & Review

-- /5
0 Ratings

Not enough ratings or reviews received yet

no-data
No data available
J
Chat with the model
Notice
2024-01-06
Publish Model
2024-01-06
Update Model Info
Model Details
Type
LORA
Publish Time
2024-01-06
Base Model
SD 1.5
Trigger Words
see description
Copy
Version Introduction

<Initial Release>

Training Details:

30_geopelia 13 images, repeat 30

Steps per epoch: 390
Epochs: 2

Total steps: 780

LR: Base 0.001 / Unet 0.002 / TE 0.0005

License Scope
Model Source: civitai

1. The rights to reposted models belong to original creators.

2. Original creators should contact SeaArt.AI staff through official channels to claim their models. We are committed to protecting every creator's rights. Click to Claim

Creative License Scope
Online Image Generation
Merge
Allow Downloads
Commercial License Scope
Sale or Commercial Use of Generated Images
Resale of Models or Their Sale After Merging
QR Code
Download SeaArt App
Continue your AI creation journey on mobile devices