MAI-Image-2.5 is a text-to-image and image editing model that handles localized edits, identity preservation, and text rendering. Available via Foundry and OpenRouter for developers building production image workflows.
Impressive leaderboard performance and the localized editing + text rendering focus. For production workflows, how are you handling repeatability (seed/control) and text rendering consistency across different access points like Foundry vs OpenRouter?
Report
does regeneration using this approach cost less tokens?
Impressive leaderboard performance and the localized editing + text rendering focus. For production workflows, how are you handling repeatability (seed/control) and text rendering consistency across different access points like Foundry vs OpenRouter?