made

Made workflow

Generate a video from a text prompt

Type what should happen on screen and Made renders it as an MP4 clip. Choose from five video models spanning fast 768P drafts to 30-second 1080p clips with audio, set the duration, and pick the orientation.

What you need to start

A text prompt describing the subject, motion, and camera work; no image required

What this tool does

Input
A text prompt describing the subject, motion, and camera work; no image required
Output
MP4 video clip, 1 to 30 seconds depending on the model
How it works
Made sends your prompt to the selected video model on fal.ai — MiniMax H3 Max by default — clamps the requested duration to that model’s supported range, and applies your aspect ratio to text-to-video renders.
Access
You can prepare the request on this page. Sign-in may be required before processing or download, and Made shows the current plan or credit requirement in the workflow.

Original results

Text to Video Generator examples

These examples use media produced for Made. Prompts are included when the production record allows them.

Moody cinematic scene with dramatic lighting generated from a description

Cinematic scenes

A lone figure walks through fog under streetlights, slow dolly forward, moody cinematic lighting.

Studio-lit product scene suited to an animated showcase clip

Product showcase

A skincare bottle rotates on a marble pedestal, soft studio light, slow orbital camera.

Bright lifestyle moment framed for a short social video

Social clips

A close-up coffee pour in bright morning light, energetic pacing, vertical framing.

Sweeping landscape illustrating controlled camera movement

Camera control

Aerial tracking shot over a coastline at golden hour, smooth forward motion.

Scene representing video clips rendered at different lengths

Flexible durations

A city street timelapse from day to night, 15 seconds.

Figure in natural light showing lifelike generated motion

Realistic motion

A dancer turns through shafts of window light, slow orbital camera, soft room tone.

Practical ways to use Text to Video Generator

Concept and storyboard clips

Render a scene from a script line or shot description to test an idea before committing to production.

Social video without footage

Create short vertical or square clips for feeds when you have a concept but no camera, cast, or location.

Product scenes

Describe a product in an environment with camera movement and let the model render a showcase-style clip.

Cinematic b-roll

Generate establishing shots, atmospheres, and transitions — on Seedance 2.5 or WAN 3.0 Prime, with ambient audio in the same pass.

How it works

  1. 1

    Describe the clip

    Write a motion-focused prompt: subject action, camera movement, pacing, lighting, and any ambient sound you want.

  2. 2

    Pick a model and duration

    MiniMax H3 Max is the fast default at 768P; Seedance 2.5 and WAN 3.0 Prime render longer premium clips with audio. Made clamps your duration to the chosen model’s range.

  3. 3

    Choose the orientation

    Select 16:9, 9:16, or 1:1 for the output frame.

  4. 4

    Generate and download

    Review the rendered motion, then save the MP4 or continue editing in Made.

Formats and limits

Input
Text prompt (required); optionally one image as the opening frame
Output format
MP4 video
Duration
Default 5 seconds; clamped per model — MiniMax H3 Max 5–15s, Gemini Omni Flash 3–10s, Seedance 2.5 4–30s, WAN 3.0 Prime 2–30s, Grok Imagine Video 1.5 1–15s
Resolution
768P on MiniMax H3 Max, 720p on Seedance 2.5 and Grok Imagine Video 1.5, 1080p on WAN 3.0 Prime
Aspect ratios
16:9, 9:16, or 1:1 for text-to-video; with an opening-frame image the video follows the image instead
Access
You can prepare the request on this page. Sign-in may be required before processing or download, and Made shows the current plan or credit requirement in the workflow.

Questions, answered

Text to Video Generator FAQ

Need a specific answer? Contact support

It turns a written description into a rendered video clip. Made sends your prompt to an AI video model that generates the subject, motion, camera movement, and — on supporting models — ambient audio, then returns an MP4.