I’ve been hunting for a way to skip the prompt-engineering marathon when turning a story idea into video. You know the drill: write a 400-word essay of a prompt, tweak it five times, still get inconsistent characters across scenes. So when I came across this workflow from an AI professional on LinkedIn, I had to share it. The original poster cracked open a combo that genuinely cuts manual work by around 90%, and the kicker is how stupidly simple it is.
The mind behind it pairs GPT-image-2 with Seedance 2.0 to take a story from raw idea to finished short video without writing complex prompts. The expert’s two example projects were inspired by UFO files, one from a 2023 U.S. record and another from China in 1892. The results looked clean enough to make me rethink how much time I’ve been wasting on traditional prompt chains.
Why this combo actually works
The creator broke down the magic into two technical reasons, and once you see them, the whole thing clicks:
- GPT-image-2 gives you a consistent storyboard. Character references stay locked across all 9 or 16 frames, which is the part that usually falls apart with other tools.
- Seedance 2.0 reads both annotations and visuals. It interprets your storyboard grid as a sequence, not a single image, so motion and continuity follow naturally.
That second part is the real unlock. Most video models treat your input image as one frame and hallucinate the rest. Seedance 2.0 is built to ingest a multi-panel layout and stitch it into coherent motion.
The 3-step workflow
Here’s the exact process this savvy professional laid out, with my notes on why each step matters:
- Prepare your story and character references. Rationale: Lock your visual identity before generation. A clear character ref sheet keeps faces, outfits, and props consistent when GPT-image-2 builds the grid.
- Generate a 3×3 or 4×4 storyboard in ChatGPT. Rationale: The grid forces narrative compression. You’re picking 9 or 16 key beats, which doubles as story editing. GPT-image-2 holds character consistency across all panels.
- Create a video using this storyboard on Dreamina. Rationale: Dreamina runs Seedance 2.0, which reads the storyboard as a directed sequence. No essay-length prompt needed because the visuals carry the instructions.
That’s it. Three steps. The author kept emphasizing this point: no complex prompting. The success rate is high because the heavy lifting happens visually, not linguistically.
When to use it (and when not to)
The contributor was refreshingly honest about limitations, which I appreciate. This is not a one-size-fits-all method. Here’s the breakdown:
Great fit for:
- Short social media videos where speed beats polish
- Quick concept visualization to pitch an idea
- Mood pieces, story sketches, ambient narrative clips
- Anything where you want to test a story before committing real production time
Not a fit for:
- Projects where you need precision and control over each individual scene
- Work that demands tight detail consistency frame by frame
- Client work where exact compositions are non-negotiable
A 3×3 storyboard is just a quick and easy AI job. It’s more useful for short social media videos and quick concept visualization.
That framing from the original poster is the right way to think about it. This isn’t replacing high-end production. It’s replacing the painful 80% of cases where you just want to see your idea move.
Why I think this matters
The bigger pattern here is what gets me excited. We’re watching prompt engineering shift from text-heavy to visual-first. Instead of describing a scene in 200 words, you show the model a 9-panel grid and let it interpret motion. That’s a fundamentally different workflow, and it favors people who can think visually over people who can write technical prompts.
The other thing worth noting: GPT-image-2 holding character consistency across a grid is the silent hero of this workflow. Anyone who’s tried to make consistent characters across multiple AI generations knows how brutal that problem usually is. Solving it inside a single ChatGPT call is a meaningful jump.
Tips before you try it
- Invest in your character reference. A good ref sheet up front saves hours of regeneration later.
- Start with 3×3, not 4×4. Nine panels is enough for most short stories and gives the model more room per panel for detail.
- Pick stories with clear visual beats. UFO sightings, historical events, dream sequences. Things that benefit from atmosphere over dialogue.
- Don’t over-direct. The whole point is letting the visuals carry the prompt. If you find yourself writing a paragraph of instructions, you’re working against the workflow.
I was honestly impressed by how much friction this removes from short-form video creation. If you’ve been stuck in prompt-tweaking purgatory trying to get consistent AI video, this is worth a serious look. Check out the full LinkedIn post for the example videos and see the results for yourself.