CONTENT CREATION
Seasonal lifestyle variants from one packshot
Watches an Airtable queue for new product packshots, generates four seasonal lifestyle background variants per product with Replicate.
How it runs
The automated pipeline, trigger to output.
- TriggerNew packshot row in AirtableAirtable
- LogicFilter: has image, no variants yet
- ActionGenerate 4 seasonal variants with ReplicateReplicate
- LogicValidate all renders succeeded
- OutputWrite variant URLs back to Airtable recordAirtable
What it does
Turns a single clean product packshot into four seasonal lifestyle shots (spring, summer, autumn, winter) without a photo studio. Each variant keeps the product pixel-identical and only swaps the surrounding scene, so a catalog of one image becomes a full seasonal campaign set.
When to use it
Use it when your merchandising team uploads plain white-background product photos and marketing needs season-appropriate hero images for the storefront, email, and social. Ideal for ecommerce teams running quarterly seasonal refreshes across hundreds of SKUs.
How it works
- 1A new row lands in the Airtable "Packshots" table with a product image and SKU.
- 2A filter checks the row has an image attached and no variants generated yet, skipping anything already processed.
- 3For each of the four season prompts, a Replicate background-replacement model runs against the source packshot, preserving the masked product and rendering the seasonal scene.
- 4The four output image URLs are collected and validated for successful generation.
- 5The Airtable record is updated with the variant URLs and its status flipped to "Variants ready" for the design team to review.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect ReplicateImage, video, and model inference.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, 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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