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.
Fork the repo, drop in a Replicate token, deploy your own MIRAGE instance.
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.