Definition — Generating many variants in one session — for example a month of feed posts or a 40-variant ad test — then organizing them into collections for review and export, instead of generating one-off images on demand.
Batching flips the workflow from reactive to planned: instead of opening the studio every time a post is due, you generate a period's worth of content in one sitting — a month of feed posts, a launch campaign's asset kit, a full hook-testing matrix — and then spend your time curating rather than producing.
The mechanics lean on the rest of the toolkit. A trained persona keeps identity constant across the whole batch; a Forge Style keeps the look coherent; prompts vary the situations; seeds let you re-enter any single result and refine it. Generated output lands in collections for review, tagging and export. The content calendar guide turns this into a monthly routine.
For advertisers, batching is what makes structured creative testing affordable at all: a 40-variant test is a batch job by definition, with hooks and formats varied systematically across the run. The hook testing framework shows how to structure a batch so the results are actually comparable.
Systematically producing and running ad variants to find what performs — changing one variable at a time (hook, format, persona, offer framing) and letting platform metrics pick the winners.
A reusable style template that fixes scene, lighting, framing and mood for a generation, so a content series stays visually coherent. Presets separate the persona (trained once) from the look (chosen per shoot).
A number that initializes the randomness of a generation. Reusing the same seed with the same prompt and settings reproduces the same image, letting you revisit and iterate on a look instead of re-rolling from scratch.
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No card required. Generate with showcase models on the free tier, then train your own persona on any paid plan.