Compare Text-To-Image Models Side by Side
Multi-model Interface for Reviewing and Auditing Generative Text-to-Image AI
Generate images from multiple AI models at once and compare their outputs side by side.
Identify patterns, biases, and inconsistencies across different text-to-image models.
Share your findings and help improve AI systems by providing valuable feedback.
Consider citing both papers if you use MIRAGE in your research
ACM Collective Intelligence 2025
Demonstrates how side-by-side comparison interfaces change user auditing strategies, revealing model personalities and bias patterns in text-to-image AI systems.
AAAI Conference on Human Computation and Crowdsourcing 2024
Introduces the MIRAGE system architecture and methodology for comparative analysis of multiple text-to-image models in a unified interface.