Brand Design
Brief → four generators in parallel → upscale the winner
6-column Gab AI Deck recipe for logo / wordmark sprints
Logo Sprint takes a single brief and runs it through Qwen Image 2, GPT Image 2, Gab Image Generator, and Seedream 4.5 simultaneously, then upscales the winner. You stop guessing which generator suits the brand and let the parallel outputs decide. One deck per brand sprint; save the layout as a recipe so the next client engagement starts already wired.
Each model has a different bias — Qwen Image 2 is strong on type, Imagen on photoreal and clean shapes, Gab Image Generator on stylised marks, Seedream 4.5 on vector-friendly output. Running them on the same brief is a fast way to find the right model for a given brand without guessing.
Image models produce raster output; Topaz upscales for print readiness. For true SVG, take the chosen mark into a vector editor for tracing — most designers do this once at the end.
Yes — open the column rail and add an extra image column bound to GPT Image 2, Nano Banana, or any image model in the catalog. The recipe is a starting point, not a cap.
Spec the wordmark text and case explicitly in the brief and ask each generator to render it cleanly without flourishes. Qwen Image 2 tends to produce the cleanest typography by default.
Yes — pick the winner, then re-prompt one or two of the other generators with the winner's notes. The second round usually surfaces the final mark.
Yes — save the deck as a recipe under your account. Every new client clone inherits the brief structure, and you only swap the project-specific details.