Those AI images on some politician’s social media got roasted hard recently. The funny thing isn’t that they’re fake—it’s how fake they are in the most predictable way: twisted fingers, lighting that doesn’t match, textures floating on the surface without blending in. These are basically the standard signature of rushed, low-effort diffusion model outputs.
What really separates the good from the bad is whether you bother with post-processing. For personal-level high-fidelity synthesis, it’s all about using LoRA to lock down facial features so the face stays consistent no matter the environment—that’s how professional AI ID photos are made. So you end up with this counterintuitive divide: an entire campaign team’s output can be worse than one person tweaking things slowly on a consumer-grade GPU in their own room.
The difference isn’t compute power—it’s intent. One side just wants to fool as many people as possible, the other wants precise control over their own image. That line is worth thinking about.