The Problem:
Right now, the image generator re-invents characters from scratch with almost every single prompt. Maintaining facial structure, clothing, and proportions across a sequence of images is incredibly difficult. This problem multiplies exponentially when trying to generate a complex scene featuring four, five, or six different people at once—the AI constantly mixes up their traits, swapping hair colors, clothing items, and facial features.
Proposed Solution:
Introduce a backend feature where the image generator builds a temporary, ephemeral 3D reference mesh for any designated character in a chat session.
- Session-Only Memory: This 3D reference anchor only exists for the exact duration of your active chat session.
- Privacy & Efficiency: It is not permanent, it is entirely private to the user, and it is completely deleted from the server the moment the chat session ends.
- Multi-Character Slotting: Users can prompt the AI to build multiple distinct temporary models in one chat (e.g., “Character 1,” “Character 2,” up to 5 or 6). When rendering a complex scene, the AI maps the 2D output over these temporary spatial models.
The Value Add:
This completely solves the “holy grail” problem of character consistency without requiring heavy, permanent custom model training (like LoRAs) or bloating OpenAI’s long-term server storage. It allows authors, storyboard artists, and casual creators to build highly accurate, chaotic multi-character scenes over a series of prompts, ensuring the exact same cast appears correctly every single time until they close the browser tab.