CONTENT CREATION
On-demand product shot cleanup via webhook with generated fallback
Accepts a product image URL over a webhook, upscales and cleans it through Replicate, and if the source is too low quality to salvage, generates a fresh studio-style image instead.
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook receives image URL and product descriptionHTTP webhook
- ActionUpscale source and score quality with ReplicateReplicate
- LogicBranch on quality score: cleanup vs generate
- ActionRemove background with Replicate (cleanup path)Replicate
- ActionGenerate studio product image (fallback path)Image generation
- ActionUpload final asset to Cloudflare R2Cloudflare R2
- OutputReturn asset URL in webhook responseHTTP webhook
What it does
Exposes a single webhook endpoint that takes any product image, cleans it up to catalog spec, and — when the original is unusable — falls back to generating a fresh studio shot so the caller always gets a usable asset back.
When to use it
Use when another system (a PIM, an upload form, or an internal tool) needs to enhance a product image synchronously and get the result inline, with a graceful fallback for garbage inputs.
How it works
- 1A webhook receives a POST with the source image URL and product description.
- 2Replicate upscales the source and returns a quality/confidence score.
- 3A branch evaluates the score: high enough proceeds to cleanup, too low routes to generation.
- 4On the cleanup path, Replicate removes the background to produce a transparent PNG.
- 5On the fallback path, generate-image creates a clean studio-style product image from the description.
- 6The final asset is uploaded to Cloudflare R2 for a stable public URL.
- 7The webhook response returns the asset URL and which path was taken.
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 Image generationManaged Nano Banana image renders, metered per image.
- 4Connect Cloudflare R2Object storage, S3-compatible.
- 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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