Free guide ·
Prompt animation explained: the three routes (text to video, image to video, prompt to code), how to write the prompt for each, and which to pick.
By John Shemron, graphic designer and video editor at PromptVault
Prompt animation is describing motion in words and letting software make the moving picture. There are three ways to do it: a text-to-video model generates the clip, an image-to-video model animates a still you already have, or an AI coding agent writes code that draws every frame. Each route needs a different kind of prompt, and each is good at different things. This guide covers all three.
In traditional animation you make the motion yourself: keyframes, rigs, timelines. In prompt animation you describe the motion and a tool produces it. The prompt is the direction you would give an animator, written so a machine can follow it.
The biggest mistake beginners make is writing an animation prompt like an image prompt. An image prompt describes a picture. An animation prompt has to describe what changes over time: who moves, how, where the camera goes, and what must stay the same while all that happens.
| Route | How it works | Best for | Weak at | How you pay |
|---|---|---|---|---|
| Text to video | A video model generates the clip from your words (for example Veo in Google Flow, Kling or Runway) | Rich, cinematic one-off shots | Keeping a character identical across clips; long scenes | Credits per generation, including failed attempts |
| Image to video | You give the model a starting image and prompt only the motion | Matching a look you already have; product and character shots | Big changes of scene; long scenes | Credits per generation |
| Prompt to code | An AI coding agent writes code that draws each frame, and your computer renders it | Characters and layouts that never change, text, graphics, series, quick re-edits | Photoreal people and real-world footage | The coding agent's plan; rendering is free |
Most projects end up using more than one. The rest of this guide shows how to prompt each route and when to switch.
You type a description and the model returns a clip, usually a few seconds to around ten seconds long per generation. This is what most people mean by "AI animation".
A strong text-to-video prompt covers seven things, in roughly this order:
Here is the difference in practice.
Weak: "A cute robot in a kitchen, Pixar style."
Strong: "A small round orange robot with two black rectangular eyes stands on a kitchen counter. It slowly lifts a coffee mug with both arms, then tilts its head at the camera. Static medium shot at counter height, slight push-in. Soft morning light from a window on the left. 3D cartoon style, smooth plastic materials. The robot keeps the same shape and colour throughout. No text, no other characters."
The strong version tells the model what moves, how the camera behaves and what must not change.
For 16 full prompts written this way, each shown with the clip it made in Google Flow, see AI animation prompts: 16 tested examples.
The limit you will hit first is consistency. Even with identical wording, a character's face, proportions or clothing tends to shift between clips. That is fine for a single cinematic shot and a real problem for a series. The guide to keeping the same character in AI animation covers how to reduce it.
You start from an image (one you generated, drew or photographed) and prompt only the motion. Because the model starts from your frame, the look is much more stable than with text alone.
Don't describe the image again; the model can see it. Describe what happens next:
"The robot lifts the mug slowly and tilts its head toward camera. Camera pushes in gently. Everything else stays still."
Image to video is the best route when you already have a strong visual and need it to move for a few seconds. It is still per-shot generation, so characters can drift across a longer story. For a worked example with a realistic person talking to camera, see how to make AI UGC ads in Google Flow.
In this route your prompt doesn't go to a video model. It goes to an AI coding agent such as Claude Code, which writes code that can draw any moment of the video: a web page with a 3D scene, a canvas animation or a React composition. Your computer then renders every frame as an image, and a free tool called ffmpeg joins the frames into an MP4.
Because the characters are built from code (shapes, colours and positions), they are exactly the same in every frame of every episode. Nothing drifts, because nothing is being guessed. And the computer draws every frame itself: a 45-second vertical video at 30 frames per second is 1,350 frames.
Here the prompt is a brief, not a description of pixels. It says what the video is and the rules it must follow:
"Make a 45-second vertical video, 1080×1920 at 30 fps. Two characters on a low-poly 3D desk: an orange block with black rectangular eyes, and a developer in a purple hoodie. They have the dialogue in script.txt. Cut between close-ups of whoever is speaking, with a slow push-in on every shot. Big white captions, 2 to 5 words at a time. Render one still per shot so I can check them before the full render."
The agent writes the scene, renders test stills, and you correct it in plain words ("in shot 4, move the captions up so they clear the hoodie"). A change to one line of dialogue re-renders the same video with just that line changed.
The video above was made this way. Two-character dialogue shorts like this are the focus of the Claude & Pixel Guide, which packages the whole setup into one prompt you paste into Claude Code (it needs a Mac, and it is independent of Anthropic). For narrated films, explainers and kinetic text, AI Video With Code covers the same method, and the free guide How to make videos with Claude Code shows the first render step by step.
A simple test: if you will make this more than five times with the same characters, choose the route that keeps them identical. For a whole channel built on one cast, see how to start a faceless animated YouTube channel.
| Mistake | What happens | Fix |
|---|---|---|
| Writing it like an image prompt | A pretty frame that barely moves | Describe the action and the camera, not just the scene |
| Several actions in one clip | The model blends them or skips some | One action per clip; join clips in an editor |
| No camera direction | Random zooms and wobble | Name the shot and the move |
| Describing the character differently each time | A new character in every clip | Save one description and reuse it word for word |
| Asking for text in the video | Garbled letters | Add text afterwards, or use the code route |
| Changing everything after a bad result | You never learn what fixed it | Change one thing per attempt |
Pick one route and make one 5-second shot:
Then turn that shot into a scene. If you want a format to aim for, the five-beat dialogue short is a good second project: two characters, one bad idea, 45 seconds.
Partly. Most text-to-video and image-to-video tools have limited free tiers with watermarks or low resolution, and then charge credits per generation. The code route's rendering tools (Node.js, Chrome and ffmpeg) are free, but a capable coding agent usually needs a paid plan. Plans change often; text to animation for free compares what each tool's free plan gave on 7 November 2026.
With video models, you can get close by reusing the same description and reference image, but expect some drift. With the code route, the character is defined in code and stays identical.
Video models generate a few seconds at a time, so longer videos are joined from many clips. Code-rendered videos can be any length, because the computer simply draws more frames.
No for either. With video models you write prompts. With the code route the agent writes and runs the code; you describe what you want and check stills. For what Claude in particular can and can't animate, see can Claude make animations?
The Claude & Pixel Guide: Animated dialogue videos for Reels, Shorts and TikTok, made in code from one prompt. 15 text lessons in three tracks.