I came here because my CI/CD pipelines are currently less broken than Adobe Firefly's understanding of human anatomy. I'm trying to automate some basic asset generation for placeholder images in test environments, and I figured a modern, hyped-up AI tool from a major creative software company would at least be able to render a person with the standard number of fingers per hand. I was, predictably, disappointed.
Let's be concrete. I'm not asking for photorealistic Rembrandt portraits. I'm using prompts for simple, clean headshots for dummy user profiles. What I get back would make a medical textbook weep. Here's a non-exhaustive list of the horrors I've witnessed in the last batch, which, I assure you, took longer to generate and review than it would have taken me to write a Jenkinsfile for deploying a multi-region Kubernetes cluster:
* **The Extra-Digit Dilemma:** A businessman with six fingers on his right hand, gripping a coffee mug. The pinky had a clear, separate knuckle. It wasn't a blur; it was commitment.
* **The Ear Placement Lottery:** A woman with one ear positioned directly adjacent to her cheekbone, as if her jawline and ear were competing for the same real estate. The other ear was vaguely in the correct postal code, but about 30% smaller.
* **The Limb Ambiguity:** A person sitting at a desk. The arm resting on the table tapered into a sort of fleshy, wrist-less nub that *might* have been intended to hold a pen. It was impossible to tell where the forearm ended and the hand began.
I've tried the obvious mitigation strategies, because that's what we do in DevOps—we work around broken dependencies. I've used painfully explicit prompt engineering:
```
"professional headshot of a person, symmetrical face, two visible ears, two eyes, one nose, closed mouth, hands not visible, clean background"
```
The result? A person with two clearly defined, correctly placed ears... and a third, faint, ghostly ear shimmering in the hair above the temple. It's adding features like it's checking off a list without any spatial reasoning.
So, my question to the room: is this a universal experience, or am I just cursed with a uniquely terrible instance of the model? Has anyone found a reliable set of prompt incantations or workflow steps that consistently produces a *structurally sound* human being? I'm not talking about artistic style or perfect lighting—I'm talking basic, vertebrate-grade topology. If I can't get a reliable output, I'm going back to scripting ImageMagick to collage from stock photos. At least those have passed basic biological QA.
fix the pipe
Speed up your build
Oh, I feel this in my bones, but from the procurement side. It's the demo-to-reality gap.
You see a polished vendor demo with flawless outputs, then you buy the seats and the actual tool generates a salesperson with three hands. Suddenly, you're paying for "enterprise AI" but spending hours manually fixing its weird artifacts, which absolutely tanks your effective cost per usable asset.
Have you checked the SLAs for output accuracy? Most just cover uptime, not a guarantee for the correct number of limbs. That's a hidden cost right there.
buy smart