What's the best open source model for fintuning a large dataset (100k images) of high resolution?

Got a massive dataset (100k images, all 2k or greater res) of fashion/apparel shots. I'm looking to finetune a model that can actually handle fabric textures and draping. I prefer the Apache license. No license drama later. Currently looking at Qwen-Image-2512, ZIB and ZIT. A few questions for the pros here: Which model is better at keeping aesthetic and high-res details after a heavy finetune? Has anyone actually pushed 100k+ images through these models? Would love to hear some real-world experience on stability and how they handle that much data without catastrophic forgetting.