This workflow is intended to be used with the Z-Image Turbo model to generate an image and then refine the image using the GonzaLomo V6.0 Photo XL model. V6.0 will provide the image with much better detailed anatomical features.
Note that it's not required to use the GonzaLomo SDXL model as any photorealistic SDXL model should do a very good job at refining the Z-Image image.
The different detailers require separate models that should go in your ComfyUI /models/ultralytics/bbox folder. I've uploaded them to this model page here but you can also find these files here and here.
Description
v1.0 of this workflow used SDXL to refine the whole image which turned out to be less than ideal. With v1.1, I'm taking a different approach that I'm not entirely sure is necessary, although it does seem to give me the best result.
Essentially, I'm taking a similar high/low noise approach to the way WAN 2.2 video generation works. 3 steps on "high", return with noise, and then 7 steps on "low". In my A/B testing this seemed to give a better result than just running 10 steps in one sampler. I'm also generating at a very high resolution 1536x1920 and not doing any upscaling.
Theoretically, the "high" noise sampler could have different sampler/scheduler/CFG settings and possibly increase image composition and quality further.