Solution: Targeting Persona Characteristics with Potential Panel Anchoring Techniques
When using traditional AI drawing tools to generate continuous images, inconsistency of character images is a common pain point.Story2Board solves this problem perfectly with the following technical solutions:
- Key Feature Anchoring: The system first analyzes the core characteristics of the character defined in the -subject parameter (e.g., "a fox with shiny fur") and establishes an image datum in the latent space through the technique of "latent panel anchoring".
- Multi-dimensional feature mapping: Automatically extract key elements of a character's appearance (hair texture, eye color, body proportions, etc.) and construct a feature association matrix
- Dynamic feature compensation: Dynamically correct possible feature shifts through the attention mechanism when generating subsequent frames to ensure visual consistency across different movements/angles
Practical advice: When defining the subject, it is recommended to use 3-5 specific visual features (e.g. "blue-eyed girl with blonde curls") and avoid abstract descriptions. For important characters, you can add detailed clothing features in ref_panel_prompt.
This answer comes from the articleStory2Board: generating coherent split-screen scripts from natural language storiesThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of inconsistent character image when AI drawing tool generates continuous screen?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil