This template starts when you send a topic to a webhook. ChatGPT writes a short script plus title and description, image generation makes a thumbnail still, and JavaScript turns the script into a vertical-video prompt. Sora renders the actual clip, Cloudinary stores the file, and YouTube publishes it with the ChatGPT metadata. Connect YouTube and Cloudinary. ChatGPT, image generation, and Sora are Latenode AI nodes.
Latenode bills workflow runtime in CPU seconds. The first 10,000 CPU seconds are free each month, then usage follows pay-as-you-go CPU-second pricing. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.
Full pricing — how CPU seconds work →Workflow preview
The scenario starts when you send a topic and audience notes to a webhook.
ChatGPT returns a Shorts script, title, and description. Image generation creates a thumbnail still from that script.
JavaScript formats a vertical-video prompt from the ChatGPT script so Sora can render the clip.
Sora starts the clip, then returns the file when the video is ready. ChatGPT writes the words; Sora renders the moving video.
Cloudinary stores the rendered video. YouTube uploads it, applies the ChatGPT title and description, and can attach the thumbnail still.
Add a YouTube connection for the channel that should receive Shorts. Add a Cloudinary connection and paste your Cloudinary API key there.
Add ChatGPT for script and titles, image generation for the still, and Sora to start the render and fetch the finished clip. These are Latenode AI nodes.
Add a webhook trigger. Send a topic string and notes to start a Short.
Map ChatGPT output into JavaScript for the Sora prompt. After Sora returns the file, upload it to Cloudinary, then publish on YouTube with the ChatGPT title and description. Map the still into the YouTube thumbnail if you want one.
FAQ
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