CONTENT CREATION
Quality-gate uploaded photos and route by resolution
Accepts photos via webhook, inspects each one, upscales only the low-resolution images, cleans backgrounds, and routes rejects that can't be saved to a Slack review channel.
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook receives product image and metadataHTTP webhook
- LogicBranch on resolution and aspect ratio
- ActionUpscale low-resolution images with ReplicateReplicate
- LogicReject images still below minimum quality
- ActionClean background and store accepted image in R2Cloudflare R2
- OutputPost rejects to Slack review channelSlack
What it does
Acts as an intake quality gate. A webhook receives a product photo, the flow checks its resolution, and it only spends an upscale call when the image actually needs it. Usable images get background-cleaned and stored; images too poor to rescue are flagged for a human.
When to use it
Use it when an external app or storefront posts product images to you and you want to avoid wasting compute upscaling shots that are already high-res, while still catching unusable submissions before they reach the catalog.
How it works
- 1An incoming webhook delivers the image URL and product metadata.
- 2A logic step branches on the image's resolution and aspect ratio.
- 3Images below the target resolution are upscaled through Replicate; already-sharp images skip straight ahead.
- 4A second logic check rejects images that remain below the minimum even after upscaling.
- 5Accepted images are background-cleaned on Replicate and saved to R2.
- 6Rejected images are posted to a Slack review channel with the reason and original link.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect ReplicateImage, video, and model inference.
- 3Connect Cloudflare R2Object storage, S3-compatible.
- 4Connect SlackChannels, DMs, threads, mentions.
- 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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