Fix Image Variation for Z Image Turbo
YouTube: https://youtu.be/zMAnWBytkZI Are you tired of Z Image Turbo generating the same faces, styles, and compositions over and over again? While the quality is great, the lack of variety is a huge downside. In this video, I explore different methods to fix this issue and share a custom workflow that finally solves the problem! We start by analyzing community solutions—including dual Ksampler setups and the SeedVarianceEnhancer node—and discuss why they often result in artifacts or unrelated elements. Then, I introduce my ultimate solution: combining the lightweight Flux Schnell model with Z Image Turbo. By using Flux Schnell for the initial generation and Z Image Turbo for an image-to-image repaint/upscale, we can achieve distinct faces, hairstyles, camera angles, and clothing while keeping high quality. I've attached the 2 workflows built by community members. If you want the workflow I built, please join our paid group and try it free: https://myaiforce.com/pg