1st. I create the payload with UI
2nd. I work on improving the payload, iteratively as described, by adjusting parameters: prompt, noise, CFG, additional scripts, etc.
The project workscope. >100 tuned models; >20 JSON payloads.
So that one payload might work well for a particular model, but poorly for another model.
Success rate (average 40%) - for all models, for all payloads. We generate thousands of images and remove 60%, manually. SD (stand dev) is quite high though. Can be improved, but I don't care that much.