CONTENT CREATION
Composite cut-outs onto branded backdrops from an Airtable queue
Pulls product rows marked Ready-to-style from Airtable, generates an on-brand backdrop scene, composites the transparent cut-out onto it.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled scan of Airtable styling queueAirtable
- ActionGenerate branded backdrop sceneImage generation
- ActionComposite cut-out onto backdrop via ReplicateReplicate
- ActionUpload finished hero shot to S3AWS S3
- OutputUpdate Airtable row with hero image and Styled statusAirtable
What it does
Produces consistent, on-brand hero shots by placing already-cut-out products onto a generated lifestyle backdrop that matches your brand palette and scene prompt, then files the result against the right product.
When to use it
Use it once you have transparent cut-outs and want polished marketing imagery without a photo studio. Great for seasonal refreshes where the same products need a new branded look on demand.
How it works
- 1The flow runs on a schedule and queries Airtable for rows where Status is Ready-to-style.
- 2For each row it reads the brand scene prompt and palette stored on the record.
- 3A backdrop is produced with the image generation step using that prompt.
- 4Replicate composites the transparent product PNG onto the generated backdrop, matching scale and shadow.
- 5The composited hero image is uploaded to cloud storage and the Airtable row is updated with the final image link and a Styled status, so downstream publishing can pick it up.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect Image generationManaged Nano Banana image renders, metered per image.
- 3Connect ReplicateImage, video, and model inference.
- 4Connect AWS S3Buckets, objects, signed URLs.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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