The same sentence, the same photos, four free AI photo editors on one RTX 5090. Which kept the face, which smoothed away the freckles, which re-posed the person, the prompt enhancer that leaks its own reasoning, the one-view prompt that gets a side profile in 12 seconds, and the resolution setting that makes edits nine times slower.
Turn a photograph into an anime character, put that character in six worlds, and make a short film with no dialogue. All of it local, in ComfyUI, on one gaming card. Five things went wrong on the way and all five had the same fix.
One group photograph, three people, and we wanted two of them gone without the third one changing. Five free image editors running on our own card took the job in turn. The first thing that happened was the room came back empty. What fixed it was grammar, and the rest of what we learned is below, with the five workflow files.
Every identity benchmark we can find scores the face. We put one full-length figure through five local image editors with an explicit instruction to keep her proportions, scaled the results so the heads match, and measured. Every engine kept her face. Four of five changed her body. Here is the method, the tool, and what the control test says about who this happens to.
Twenty generators, eight prompts with invented specifics, one shot each, the prompt on every board. New this round: five Krea 2 builds, Qwen Image 2512, a real cloud column priced in Buzz, and a text ladder scored over four extra seeds. Every board at full size, every prompt in all three styles.
A published episode scored 86 failures against its own script. Here is every class of mistake we found making local AI video with LTX 2.5, SageAttention, Krea 2 and ComfyUI, what actually caught each one, and the checks we now run before anything ships.
We trained a character LoRA on Krea 2 and benched it against our production image stack. What ports, what breaks, the prompting rules that differ from Z-Image, and the LoRA lessons from 230 test renders.