CONTENT CREATION
Upscale and caption low-res screenshots into annotated set
Takes low-resolution or compressed screenshots, upscales them with a Replicate model, generates a descriptive caption per image with OpenAI, burns the captions into Figma callouts.
How it runs
The automated pipeline, trigger to output.
- TriggerNew low-res image in R2 ingest prefixCloudflare R2
- ActionUpscale image with Replicate super-resolution modelReplicate
- ActionGenerate instructional caption from imageOpenAI
- ActionCompose upscaled image and caption into Figma frame and exportFigma
- OutputWrite polished annotated image to R2 published prefixCloudflare R2
What it does
Rescues low-quality screenshots and turns them into a clean annotated tutorial set. It runs each image through a Replicate super-resolution model to sharpen it, asks OpenAI to write a short instructional caption describing what the screen shows, places the upscaled image plus caption into a Figma callout layout, and saves the result to R2.
When to use it
Use it when the only screenshots you have are blurry, downscaled, or pulled from old docs, and you need them to look crisp and carry clear captions before republishing.
How it works
- 1A new image lands in the watched R2 ingest prefix and fires the trigger.
- 2Replicate upscales the image with a super-resolution model and returns a high-res render.
- 3OpenAI generates a concise instructional caption from the upscaled image.
- 4The flow composes the upscaled image and caption into a Figma callout frame and exports a PNG.
- 5The finished annotated image is written back to R2 under the published prefix.
Set it up
What you configure once, before turning it on.
- 1Connect Cloudflare R2Object storage, S3-compatible.
- 2Connect ReplicateImage, video, and model inference.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect FigmaFiles, frames, comments, assets.
- 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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