The workspace keeps setup explicit so you can check the prompt, the model, the aspect, the resolution, and the estimated credits before submitting a job.
Name the subject, the style, the lighting, and the final aspect ratio. Avoid asking for motion — that belongs in text-to-video.
Different models trade off realism, stylization, and price. Use the model picker to compare credits before generating.
Credits are previewed before generation. If a job fails, credits are returned automatically and the result view records the model used.
A text-to-image workflow turns a written prompt into a publish-ready still without queuing the design team or briefing a freelancer per article. Name the subject, the lighting, the framing, and the aspect — the engine handles the rest. A solo designer or content operator can keep up with a weekly publishing calendar that used to need an outsourced rotation.
Hero stills without a design queue
One prompt, multiple model takes side-by-side. Flux 2 Pro leans editorial, Imagen 4 Ultra holds the photoreal end, Nano Banana Pro is the fast iterator, Nano Banana ships drafts at minimal cost. The model picker exposes the trade-off before you generate, so testing two or three engines on the same brief is a checkout decision, not a new vendor relationship.
Multiple model takes · one written brief
Flux 2 Pro, Imagen 4 Ultra, Nano Banana Pro, Nano Banana, and other image engines all draw from one shared credit pool. The cost preview shows the exact credit delta when you change model, resolution (1K vs 2K), or aspect ratio, so a draft pass and a hero pass are the same checkout decision. Failed jobs (technical errors) refund credits automatically.
6+ image models · 1 credit pool · refunds on technical failures
Ship thumbnails, ad concepts, product visuals, blog heroes, and newsletter covers from a written prompt — no design queue, no freelancer brief, no shoot day.
A weekly content calendar gets ten on-brand stills before standup. The operator iterates the prompt until the image fits the post, then exports straight into the CMS or ad manager.
Hit a weekly publishing cadence with stable visuals when there's no design team to brief and no budget for a freelancer per article.
A blog editorial calendar gets a custom hero per article, not stock photography. The marketer keeps the prompt template stable across the series so the visual signature reads as a brand, not a rotation of unrelated images.
Test product visual directions before booking the real shoot. Generate three candidate hero stills for the landing page, pick the one that converts, then spend on the photographer with a plan.
A new product line gets five candidate hero stills before the founder books the studio. One direction wins on the staging test, the photographer gets a clear brief, and the real shoot lands on the chosen aesthetic instead of guessing in the studio.
Use these patterns when you do not have a reference still and need the model to build the whole image from words alone. Concrete subject, lighting, and framing language make every prompt to image iteration land more predictably — vague mood words leave the engine to guess.
Flat-lay of pastel cosmetic bottles on warm marble, soft daylight, top-down framing, 4:5 magazine cover.
Concrete surface, lighting, and framing terms make product stills repeatable.
Bold typographic streetwear poster with a single sneaker centered, deep blue background, halftone grain, 2:3 portrait.
Use poster vocabulary (typographic, halftone, portrait) to get layout-friendly outputs.
Soft watercolor illustration of a small reading nook with morning light, warm palette, 16:9 wide blog hero.
Pairs well with blog and newsletter covers that need a calm, on-brand feel.
Name the subject, the style, the lighting, the framing, and the aspect ratio. Short concrete sentences usually outperform long descriptive paragraphs. A specific text to image prompt ("flat-lay, warm marble, soft daylight, 4:5") leaves the ai image generator less to guess than a vague mood ("luxury, premium, beautiful").
You can use generated images in commercial work subject to our terms and the underlying model license. Always review the result for brand accuracy and rights conflicts before publishing — the text to picture ai workflow does not check trademarks or likeness for you, so a quick human pass before paid placement is always worth it.
Most models support a 1K default; some (like Flux 2 Pro) expose a 2K option with higher credit cost. The picker shows the active credit rate per model, so a single prompt to image loop can compare both resolutions on the same scene before deciding which one is worth the credit spend.
New accounts include starter credits that cover a handful of runs on entry-tier models, so the engine works as a free ai image generator on day one. After that, runs draw from a single shared credit pool — no per-model subscription wall, no separate signup for an ai art generator tier, every model in the workspace is reachable from the same account.
Imagen 4 Ultra and Flux 2 Pro hold the photoreal ai end best in the current lineup, with Nano Banana Pro a fast budget alternative for drafts. Realistic skin, hands, fine text, and reflections still need a careful prompt — the closer the brief is to a real photography brief (lens, lighting, surface), the closer the output will land.
Start with the default — Flux 2 Pro is the editorial-leaning generalist. The picker exposes Imagen 4 Ultra, Nano Banana Pro, Nano Banana, and other image engines when you want stronger photoreal output, a stylized look, or faster turnaround. Each option ships with a short note on what it is good at.
Refine a reference shot, restyle it, or swap a background once you have a base image — the natural follow-up after a text to image draft lands.
Animate a generated still into a short product or social clip — turn the best text to image output into motion without a reshoot.
Start a brand-new motion clip from a written scene when a still is not enough.
