Text to Video AI: turn a written scene into an AI video
Write the subject, action, camera, lighting, timing, and sound direction, then create a video with live controls in one workspace.
A prompt that directs motion
State who or what is on screen, what changes, where the camera moves, and how the scene sounds.
Live model and input controls
Choose a current text-to-video model and review the fields it exposes before you generate.
A result you can keep working on
Use the finished video in the same GizAI workspace instead of starting another disconnected flow.
Built for work that continues after the first result
Concept and story shots
Turn an outline, script beat, or storyboard note into a visual sequence before production.
Social and campaign clips
Create concise scene-led videos for launches, announcements, and editorial posts.
Explainers and visual prototypes
Show a process, product idea, or environment when a static image is not enough.
Real prompts, settings, results, and tradeoffs
Every example below pairs a visible result with the prompt and generation conditions used to make it useful.
Direct text-to-video mountain shot
- Input
- Text prompt only
- Settings
- 960×528 result · 4.04 seconds · landscape
A trekker making their way up a snow-covered mountain trail, with breathtaking views of snow-capped peaks and a clear blue sky overhead, exuding a sense of adventure and tranquility.
A single subject, one action, and a clear environment are enough to establish a readable shot without a reference image.
The prompt does not explicitly direct the camera or sound, so those details are left to the model.
Text-to-video with synchronized audio direction
- Input
- Text prompt with sound direction
- Settings
- 960×512 result · 4.04 seconds · audio enabled
A musician passionately playing an acoustic guitar on a dimly lit stage, with the strings vibrating and the sound resonating through the intimate venue.
Naming the sound source in the same shot gives the audio-visual model a concrete event to synchronize.
Generated performance audio is illustrative; timing, fingering, and musical accuracy still require human review.
Text-to-image-to-video workflow
- Input
- Text prompt with generated first frame
- Settings
- 960×512 result · 4.04 seconds · Generate Image enabled
A unicorn gracefully walking through an enchanted forest, its mane flowing gently in the breeze. The forest is illuminated by soft, magical lights with sparkling dust swirling around, creating a serene and mystical atmosphere.
Generating the first frame before motion is useful when the visual design needs approval before animation.
The extra image-generation step adds another source of variation and should be reviewed separately from motion.
Camera-led neon story shot
- Input
- Detailed text prompt
- Settings
- 832×448 result · 4.04 seconds · camera and ambience directed
A calm cinematic sci-fi shot in a neon-lit rainy alley at night. A scratched white service robot walks beneath a paper umbrella as the camera tracks alongside it from puddle level. Steam rises from a vent, reflections ripple around its feet, and the audio blends rain, soft servos and distant city traffic.
Subject, camera height, motion, environmental effects, and sound can coexist when they describe one continuous shot.
More simultaneous details increase the chance that a secondary element is simplified or omitted.
Stylized stop-motion direction
- Input
- Detailed text prompt
- Settings
- 832×448 result · 4.04 seconds · stylized materials and sound
A charming stop-motion shot opens on a tiny clay coffee shop built from cardboard and painted wood. A round clay barista slides a miniature cup toward a sleepy customer as the camera pans from the espresso machine and pushes into the wobbling curl of steam. Handmade texture, espresso hiss and gentle acoustic guitar.
Material words such as clay, cardboard, and painted wood establish a coherent visual language better than a vague style label.
Fine object interaction such as hands, cups, and steam can vary between generations.
Good starting points for this workflow
LTX-2.3 Distilled 1.1
Unified audio-video model for fast text-to-video, image-to-video, references, keyframes, and guided motion.
Choose it for fast iteration when your workflow may need text, image, audio, references, keyframes, or guided motion controls.
- Inputs
- text, image, audio
- Output
- video
- References
- Up to 500 images
- Resolution
- 128–2048 px
- Duration
- 1–20 sec
- Formats
- MP4 · WEBM · MOV
- Estimated time
- 2 ~ 5 min
- Included allowance
- 2 per 48 hours
Sora 2
OpenAI video model for cinematic text-to-video and image-to-video with strong prompt adherence.
Choose it for a text- or image-driven cinematic video prompt when its available settings fit the shot you want.
- Inputs
- text, image
- Output
- video
- Resolution
- 720p
- Duration
- 4 · 8 · 12 sec
- Estimated time
- 50 ~ 80 sec
- Included allowance
- 1 per 48 hours
What this tool does not guarantee
These are practical boundaries to check before using a generated clip in production.
Prompt adherence is probabilistic
A model can simplify, omit, or reinterpret requested details. Treat the first result as an iteration, not a guaranteed final shot.
Continuity weakens as complexity grows
Multiple characters, scene changes, precise hand actions, and readable text are harder to keep stable in one generation.
Generated media still needs review
Check identity, anatomy, claims, copyright, safety, and platform requirements before publishing or using a result commercially.
Text to Video AI FAQ
What should I write in a text-to-video prompt?
Lead with the subject and action. Add setting, camera movement, lighting, timing, dialogue, and sound when each one changes the intended result.
Which model should I choose for text to video?
Choose from the live controls based on the source material and control you need. The model guide explains the practical distinction; the generator shows current available inputs and limits.
Can I use text-to-video results in another GizAI task?
Yes. The generator opens the same GizAI workspace, so the prompt, selected model, files, and resulting media remain available for the next step.
How long does text-to-video generation take?
It depends on the selected model, duration, resolution, and queue. The model comparison on this page reads the current estimated time from the live GizAI catalog.
Can text-to-video generate sound or dialogue?
Some video models support synchronized audio or audio guidance. Choose a model whose live input contract includes the audio capability you need and describe the sound source clearly.
Why did the model ignore part of my prompt?
Prompts with many subjects, actions, scene changes, camera moves, and sound events compete for attention. Reduce the request to one assessable shot, then add only details that materially change it.
Can I publish an AI-generated video commercially?
Review the selected model terms and your rights to every reference, brand, likeness, audio element, and claim. Generated output still needs human legal, safety, and quality review.
Is the first result guaranteed to match the prompt?
No. Video generation is probabilistic. Use the visible examples as prompt patterns, compare the result with your brief, and iterate on the failed constraint.
How this page was produced and checked
- Prepared by
- GizAI Product Team
- Reviewed by
- GizAI Model Operations
- Last reviewed
GizAI publishes this page about its own product. Examples are existing GizAI media assets paired with their recorded prompts and settings; model names, inputs, limits, and allowances are rendered from the live model catalog instead of copied into editorial claims.
- Confirm that every prompt, poster, and video is visible on the page and served from a stable public URL.
- Read model labels, modalities, resolution, duration, estimated time, and included allowance from the live GizAI model contract.
- Record what each result demonstrates and a concrete limitation instead of presenting every output as flawless.
- Verify the executable form, canonical URL, metadata, structured data, internal links, desktop, mobile, and dark mode in a real browser.
Sources and live contracts
- Live GizAI model limits — Current plan allowances and availability inside GizAI.
- LTX supported models — Official LTX capabilities and model specifications.
- OpenAI Sora 2 model — Official Sora 2 model documentation.
- Google people-first content guidance — Who, How, sourcing, originality, and trust self-assessment.
- Google video SEO guidance — Stable video URLs, thumbnails, structured data, and indexing requirements.
Create a text to video
Your prompt, selected model, files, and results stay in the same product workspace.