FASHN has launched the Try-On v1.5 model on the fal platform, offering significant enhancements over the previous v1.0 version, with improvements in speed, accuracy, and ease of use, particularly for virtual clothing fitting. The new model features a Segmentation-Free processing approach that simplifies the integration process by eliminating the need for separate digital segmentation steps, allowing for more realistic results in virtual try-ons. Key advancements include better fitting for complex garments like baggy jeans and tunics, improved handling of details such as hair and accessories, and enhanced identity preservation. The model also simplifies API interactions by automating many previously manual parameters, leading to faster inference times and reducing computational costs. While the Segmentation-Free approach improves garment fitting, it has limitations in completely removing original garments, though this can be adjusted by reverting to the segmentation-based method if needed. The release also hints at future upgrades, including a resolution boost, and encourages users to transition from v1.0 to v1.5 before the former's retirement.