CONTENT CREATION

Localized ad banners from a Figma product screenshot

Pulls a tagged product screenshot frame from Figma, renders localized headline overlays for each target locale, and writes the finished banner set to R2 ready for ad upload.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggermanual
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator submits Figma frame + locale list
  • ActionExport product screenshot frame from FigmaFigmaFigma
  • ActionRender localized banner per localeImage generation
  • LogicVerify all locales produced a banner
  • OutputUpload banner set to R2 and return URLsCloudflareCloudflare R2

What it does

Turns a single approved product screenshot in Figma into a set of localized marketing banners — one per language — and publishes them to object storage so the growth team can drop them straight into ad platforms.

When to use it

When you ship a new feature screenshot and need the same hero banner in five or six languages without rebuilding each one by hand in a design tool. Run it on demand whenever the source frame changes.

How it works

  1. 1A manual trigger fires with the Figma file key, the frame node ID, and the list of target locales.
  2. 2The flow exports the named frame from Figma as a high-resolution PNG.
  3. 3For each locale it composites the translated headline and CTA copy onto the screenshot, producing one banner image per language.
  4. 4A logic step validates that every locale produced a file and flags any that failed.
  5. 5The completed banner set is uploaded to a dated R2 prefix and the public URLs are returned for the operator to hand off.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FigmaFiles, frames, comments, assets.
  2. 2
    Connect Image generationManaged Nano Banana image renders, metered per image.
  3. 3
    Connect Cloudflare R2Object storage, S3-compatible.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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