Video Models: What They Are and How to Choose One
Video models are AI systems that turn prompts, images, and reference inputs into moving scenes for tasks like concept testing, ad drafts, and short-form content. They output generated video that can help creators choose between text-to-video, image-to-video, and reference-guided workflows; Vidu helps you test which approach fits your project.
Practical Ways to Use Video Models
Use video models when you need a quick starting point for a concept, a test clip, or an internal discussion, so you can see the idea in motion before investing more time in production.
Draft Creator Content
Use video models to draft creator content, social posts, or campaign concepts quickly, giving teams a practical starting point they can shape into a usable version.
How Video Generation Models Work
Video generation models use prompts, images, or references to create moving output. Text gives scene direction, images provide a visual starting point, and references help guide subject or style. For projects that need steadier motion and continuity, consistent scene planning helps connect these inputs into a more reliable visual result, while image enhancement can sharpen details and strengthen the visual foundation.
Prompt Flow
A prompt gives the model a scene, action, or style direction. When you want to guide the look of a result, image enhancement workflow can help you see whether the first version matches the brief more clearly.
What Is a Video Model?
Video models can start from a written prompt or a source image, then turn that input into motion you can compare and refine. If you want to test ideas without committing credits first, review the free AI video generator option before choosing the Vidu workflow to try next.
Compare Vidu Text-to-Video Workflows
Compare how Vidu’s prompt-based video workflow handles creation, model selection, and output controls against a manual process that relies on separate planning and editing steps.
| Decision Area | Vidu Text to Video | Manual Or Generic Workflow |
|---|---|---|
| Prompt to scene mapping | Turn a written scene description into motion directly in the generator. | Translate the idea into a script, storyboard, and edit plan before production. |
| Model and mode selection | Pick a model and generation mode to steer the result toward faster drafts or more polished scenes. | Choose tools separately for drafting, animation, and finishing. |
| Motion control | Adjust motion intensity to shape how active or restrained the scene feels. | Control motion later through editing, keyframing, or compositing. |
| Format and framing | Set aspect ratio and output style to match vertical, square, or widescreen delivery. | Reframe assets after creation to fit each channel. |
| Iteration signals | Review the generated clip, then refine prompt wording or settings for the next run. | Compare rough cuts, revise assets, and re-edit across multiple steps. |
How to Use Video Models
Find Prompt Ideas
Start by exploring AI text to video ideas, or open Explore and the Template page to gather a prompt direction before you begin creating.
Write Your Prompt
Enter a clear text prompt in the input box and describe the scene, style, and camera angle you want the Text to Video tool to generate.
Set Options and Create
Adjust settings such as style, number of videos, and aspect ratio in the one-click video setup, then click Create to generate and review the finished video.
Prompt Formula for Vidu Text to Video Models
Use this formula to tell Vidu the scene idea, written prompt details, model settings, motion choices, and review priorities needed to compare text-to-video model outputs for concept testing or short video drafts.
Text Video Idea
Define the prompt idea you want to test, including the subject, setting, action, mood, and intended use, so Vidu starts from a focused text-to-video concept rather than a vague scene request.
Scene and Settings
Write the prompt with visible style, camera angle, movement, and framing, then specify Vidu options such as model choice, realistic or animated style, duration, generation count, motion level, and fast or cinematic mode.
Generated Clip Review
After Create, compare the generated videos against the written scene brief, checking whether the model preserved the subject, motion, style, framing, duration needs, and useful variation for the next prompt refinement.
Frequently Asked
Questions
AI video models generate video from inputs such as text, images, or reference material, and Vidu supports text to video, image to video, and reference to video workflows. For example, text to video can build a scene from a prompt, while image to video can animate an existing frame or design for social content or product ads. Vidu helps creators, marketers, agencies, and developers test these options, so check your current workspace settings to choose the workflow that fits your project.
Start with the Right Video Workflow
Use Vidu Text to Video to begin from a scene idea, then move into image or reference workflows when the project needs stronger visual control, more consistent framing, or closer alignment with an existing visual direction.