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...
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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.
Remaining hardware or download-size estimates are not available yet.
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1 trechoSource context: 18046 downloads · Type Workflows · Base model ZImageTurbo
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