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Text-to-Video Guide

Create stunning videos entirely from text descriptions

Generate cinematic videos from your imagination using only text prompts. No images required – just describe what you want to see and watch KreatorFlow bring your vision to life.

Text-to-Video Generation Demo

Open in Drive

Watch this example of creating a video entirely from a text prompt description.

Step-by-Step Text-to-Video

1

Navigate to Video Studio

Video Studio navigation showing where to access the video creation interface

Start by navigating to the Video Studio from your dashboard. This is where you'll find all video creation tools including text-to-video generation.

2

Write Your Prompt

Prompt text box interface showing where to enter video descriptions and settings

Type your video description in the prompt text box. You can use regular text descriptions or advanced techniques like JSON prompting and [cut] prompts for multi-scene videos.

Simple Example:

"A cinematic shot of a woman walking through a neon-lit city at night, rain reflecting colorful lights, slow motion"

Multi-Scene Example:

"Wide shot of a surfer catching a wave [cut] close-up of focused expression [cut] slow motion of the wave crashing"

3

Configure Settings & Generate

Video generation result showing the completed video after a few seconds of processing

Select your video settings (mode, quality, duration, aspect ratio) and click Generate. After a matter of seconds, your video will be ready!

Quick Generation Times

Most text-to-video generations complete in under 60 seconds, depending on complexity and current system load.

Advanced Text-to-Video Techniques

Multi-Scene [Cut] Feature

Create complex videos with multiple scenes by using [cut] in your prompts.

Example:

"Man standing on beach [cut] camera zooms in as he smiles [cut] wide shot walking shoreline"

Learn Multi-Scene Techniques →

JSON Prompting

Use structured JSON for precise control over complex multi-scene videos.

Pro Tip:

Ask ChatGPT for "KreatorFlow video JSON prompt" to generate structured prompts quickly.

Master JSON Prompting →

Text-to-Video Prompting Best Practices

Effective Prompts

Be Specific with Details:

"A wide cinematic shot of a woman in a red dress walking through Times Square at night, neon signs reflecting in puddles, slow motion"

Include Camera Style:

"Drone shot of a car driving down a winding mountain road, golden hour lighting, tracking shot following the vehicle"

Describe Motion:

"Close-up of hands playing piano, fingers moving gracefully across keys, shallow depth of field"

Avoid These Patterns

Too Vague:

"A person walking" ❌

Lacks detail for compelling video

Overly Complex Actions:

"Person dancing, jumping, running, and spinning simultaneously" ❌

Too many actions for short clips

Conflicting Elements:

"Sunny day with rain and snow at midnight" ❌

Contradictory descriptions confuse AI

💡 Pro Tips for Better Results:

  • Start simple: Test basic prompts before adding complexity
  • Use cinematic language: "Wide shot," "close-up," "tracking shot," "slow motion"
  • Specify lighting: "Golden hour," "neon lighting," "soft natural light"
  • Iterate cheaply: Use Lite mode to test, then upgrade to Pro for final videos
  • Study examples: Analyze successful prompts in the video gallery above

Text-to-Video Settings

Mode & Quality

Lite Mode (720p)

5s = 5 credits • 10s = 10 credits

Perfect for testing prompts

Pro Mode (Up to 1080p)

5s = 8-25 credits • 10s = 12-35 credits

Higher quality, more realistic motion

Duration & Aspect

Duration Options:

5 seconds: Quick clips, lower cost

10 seconds: More content, higher cost

Aspect Ratios:

• Square (1:1) - Instagram

• Portrait (9:16) - TikTok/Shorts

• Wide (16:9) - YouTube

Camera Control

Dynamic Camera

Automatic pans, zooms, and movement for cinematic feel

Fixed Camera

Static shot, no camera movement, focus on subject action

Master More Video Techniques

Now that you understand text-to-video basics, explore these advanced features: