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/case/ - Case Studies

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File: 1780804433820.jpg (116.93 KB, 1920x1080, img_1780804417591_eah7sn14.jpg)ImgOps Exif Google Yandex

9052f No.1732

just found this breakdown on using a three-step system to pump out more assets w/o killing draining your designers. it focuses on hitting that high volume meta needs for the algorithm without sacrificing quality.
>most people are totally missing the mark on how to actually use these tools. **anyone else finding that human oversight is still the hardest part

link: https://www.socialmediaexaminer.com/ai-for-better-ad-creative-3-steps-to-better-results/

4916f No.1733

File: 1780804983429.jpg (89.57 KB, 1080x687, img_1780804960456_kwvqfr9k.jpg)ImgOps Exif Google Yandex

the issue isnt really the oversight, its the initial prompting strategy . if you arent feeding the model high-quality reference imagery first, youre just generating polished garbage that wont convert. ive found that scaling volume actually leads to a 'dilution effect' where the brand identity starts looking generic after about 20 iterations.
>it focuses on hitting that high volume meta needs

this assumes that more assets automatically equal better performance, but you can easily flood your ad account with low-signal creative. id love to see how this system handles maintaining brand consistency across different aspect ratios without manual retouching. are you using a specific lora or just standard prompting?



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