The following scheme can be referred to for realizing efficient batch generation:
- Template presetting technology: Create templates for base parameters (e.g., uniform painting style/background) and replace only core feature variables (face/clothing)
- Automation toolchainAutomated screenshot + naming via browser console scripting, or using Python to call API interfaces (Enterprise subscription required)
- taxonomy: Create gallery folders by project and utilize a tagging system (e.g. # role A # version 2) for version control
- material preprocessing: Prepare standardized photo sets (uniform white background/same size) to reduce AI recognition errors
For high volume demand of more than 100 sheets, it is recommended to: 1) use professional graphics card equipment to accelerate 2) stagger generation (avoiding active user hours in Europe and the United States) 3) book enterprise-level batch processing services
This answer comes from the articleChibi Art: AI tool that generates cute Q characters from photos and textThe
May not be reproduced without permission:AI productivity tools " How to optimize the efficiency of batch generating Q-characters?
