Step 1: Write the story with ChatGPT

Everything starts with a prompt, not a camera. Creators ask ChatGPT for a viral nursery-rhyme idea, then for a scene-by-scene breakdown of a roughly one-minute video: who is in the shot, what happens, what the camera sees. The output needs to be concrete enough that each scene becomes one generation. "A mother hen and her chicks walk on ice" works. "Something emotional happens" does not.

The scenes are short on purpose. Most video models still generate best in clips of five to ten seconds, so a one-minute cartoon is really six to ten separate generations stitched together. Plan for that now and the assembly step stops being a surprise.

Step 2: Generate the clips in Picsart's AI Playground

Picsart AI workflow turning one photo into multiple cartoon scenes
Image: Picsart (official workflow page)

The creators posting this workflow generate inside Picsart's AI Playground, which offers a menu of third-party video models. The demos select a Kling model and paste each scene's description in as the prompt. Generation takes a few minutes per clip.

Kling AI official chibi wizard cartoon example from the image model user guide
Image: Kling AI (official user guide)

Two practical notes. First, character consistency is the hard part: the hen needs to look like the same hen in every scene. Feed the model the same character description each time, and generate in story order so you can reject a scene that breaks continuity before building on it. Second, generation runs on Picsart's credit system, so a ten-scene video costs ten scenes' worth of credits. The reels that say "anyone can do this" are right about the skill required and quiet about the meter running.

Step 3: Assemble and post

The clips come out as separate files. Creators stitch them in a phone editor, add a voiceover or a trending nursery-rhyme audio track, and post to YouTube Shorts, TikTok, or Instagram. The format is deliberately repetitive: simple stories, bright characters, one emotional beat. That is the whole aesthetic, and it is why the pipeline is built for volume.

The fine print the reels skip

First, the revenue screenshots. Creators flash figures like $2,931 for 35 million views or $10,654 for 111 million. Those are estimates from analytics dashboards, not deposits. Actual payouts depend on the platform, the region, the ad inventory that month, and whether the content qualifies for full monetization at all. Treat them as the ceiling, not the salary.

Second, disclosure. YouTube requires creators to tick the "altered or synthetic content" box when uploading realistic AI-generated material, and the platform has been enforcing it since 2025. Kids' content faces extra scrutiny on top of that. Posting AI cartoons without the label is how channels get strikes, not revenue.

None of this means the workflow doesn't work. The views are real. It means the business model has more friction than a 30-second reel admits: credits cost money, consistency takes retries, and the platforms take their cut in both cash and compliance.

Sources

  1. [1] @raga_here5, Instagram reel demonstrating the ChatGPT + Picsart AI Playground + Kling workflow (Oct 2, 2026)Read source
  2. [2] Quis Editz, Facebook reel on the same workflow (Oct 2, 2026)Read source
  3. [3] YouTube synthetic-content disclosure requirement, via AI video generation guide (Sep 2026)Read source