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Video creation hub

AI Video Generator

Use a multi-model AI video generator to create short clips from text or still images, compare model-specific speed, quality, controls, and credit costs, then track results in one workspace.

  • Text-to-video and image-to-video
  • Model-specific controls
  • Free daily credits and upfront cost
Prompt
0 / 2000
Model
Aspect Ratio
Resolution
Duration

Choose Text-to-Video or Image-to-Video

The Genify AI Video Generator supports quick experiments and repeatable creative work while keeping model differences clear. Daily free credits can help you test an available workflow before deciding whether the pricing suits regular use. Before submission, the generator shows the duration, format, audio options, model settings, and credit estimate currently available. Use that information to compare cost, output quality, and generation options for social clips, product motion, concept films, or professional previsualization.

Start with text when the scene is flexible

A text-first request can describe the subject, action, setting, camera behavior, light, pace, and mood in one brief. It is useful for concepting because you can change the whole scene without preparing an asset first. The tradeoff is that every visual detail must be communicated clearly enough for the selected model to interpret.
Generate Video From A Written Scene

Start with an image when the opening look matters

An image-first request is better when you already have a portrait, illustration, product render, environment frame, or designed composition. The prompt should then concentrate on motion and camera direction instead of describing every visible object again. Some models also accept an end frame, character or object images, or other references; the generator shows only the uploads supported by your selection.
Animate A Still Image

How the Genify Video Workflow Works

The generator on this page is fully usable. You can switch between text and image input, add the required source material, select a model, and review its available settings. Different models can offer different combinations of aspect ratio, resolution, duration, and audio controls.
  1. 01

    Choose the source mode

    Use the mode tabs to choose text-to-video or image-to-video. Text-to-video begins with a prompt, while image-to-video also asks for the images required by the selected model.
  2. 02

    Write the creative instruction

    Describe one coherent clip: who or what appears, what changes over time, how the camera behaves, and what atmosphere should remain consistent. Keep competing actions to a minimum.
  3. 03

    Select a model and inspect its settings

    Changing the model restores that model's default settings. Review the controls shown after each change instead of assuming every model offers the same options.
  4. 04

    Review the credit total and submit

    The interface resolves credits from the selected model and active options. Submit only after the source, prompt, and settings describe the same intended shot.
  5. 05

    Follow the task in Workspace

    After a successful submission, Workspace opens automatically so you can follow progress and view the completed result.

Models and Controls Vary by Workflow

AI video models do not all accept the same inputs or offer the same controls. Genify updates the settings when you select a model, hides options that model does not support, and restores its default values when you switch. For the current choices, use the fields shown in the generator rather than relying on a fixed comparison list that may become outdated.

Depending on the model, available choices can include aspect ratio, resolution, clip duration, audio generation, or additional image inputs. Image-to-video models may require a starting image and can also support an optional end frame, reusable element, or reference asset. Other models use a simpler single-image workflow, so review the fields shown after selecting a model.

Treat those differences as creative constraints. A model with fewer visible settings is not automatically less capable; it may make more decisions internally. A model with more controls gives you more explicit choices, but those choices need to agree with the prompt and source frame.

  • Aspect ratio shapes composition. Decide whether the intended destination favors horizontal, vertical, square, or a model-derived frame before writing camera movement that depends on screen edges.
  • Duration changes how much action can fit. A short clip usually benefits from one main movement, one camera instruction, and a clear beginning-to-end change.
  • Resolution options appear only where declared by the selected model. Choose among the visible options rather than assuming a universal output size.
  • Audio controls are model-dependent. When the generator shows an audio option, describe dialogue or sound clearly; when it does not, do not assume audio can be enabled or disabled.
  • Image requirements also depend on the model. The upload area labels starting images, end frames, elements, and other references as required or optional.

Plan Motion, Camera, and Format Before Generating

Video prompts work better when they describe change over time rather than listing visual adjectives. A useful brief tells the model what remains stable and what moves. It also separates subject action from camera action. For example, a person turning toward a window is subject movement; a slow dolly toward the person is camera movement. Combining both can create depth, but stacking several unrelated actions makes the intended shot harder to follow.

Think in a single-shot timeline. Establish the opening state, name the central movement, and describe the ending state or emotional beat. If the clip should feel calm, use restrained verbs and steady camera language. If it should feel energetic, specify a purposeful acceleration, pan, orbit, handheld feel, or environmental movement rather than adding generic words such as dynamic everywhere.

Describe the subject and its anchor

Name the main subject early and give it one or two identity anchors: clothing, material, silhouette, color, or position in frame. In image-to-video, rely on the uploaded frame for visible facts and use the prompt to clarify which of those facts must not drift.

Use camera language with a purpose

A push-in can increase attention, an orbit can reveal form, a locked camera can emphasize internal motion, and a pull-back can reveal context. Choose one primary camera behavior unless the clip length and selected model clearly support a more complex progression.

Match framing to the destination

Plan where text overlays, product details, faces, or negative space should sit. Vertical framing often needs simpler lateral movement and stronger subject separation, while wide framing can support environmental reveals. The available aspect choices remain model-specific.

Practical AI Video Use Cases

The strongest use case is usually a focused visual task, not an attempt to replace an entire production pipeline with one prompt. Short generated clips can support ideation, presentation, social storytelling, visual prototyping, and motion exploration. They are especially useful when you want to compare creative directions before committing to a larger shoot or edit.

The following examples are framed as workflows rather than guarantees. Output depends on the source, prompt, selected model, and settings.

  • Concept films: explore the mood, setting, camera language, and pacing of a campaign before producing final assets.
  • Product motion studies: animate a clean product render with a restrained orbit, reveal, light sweep, or environmental effect while keeping the object central.
  • Illustration animation: add atmospheric movement, parallax-like camera motion, cloth movement, weather, or subtle character action to a finished artwork.
  • Social clip variations: test vertical and horizontal compositions, alternate hooks, or different motion directions while keeping the message concise.
  • Storyboarding and previsualization: turn a written scene or key frame into a moving reference that communicates intent to collaborators.
  • Environment exploration: visualize changing light, moving fog, traffic, water, foliage, or camera travel through an architectural or imaginary space.

A Practical Iteration and Troubleshooting Workflow

Treat the first generation as evidence, not a verdict. Watch for the specific moment where the result stops matching your intent. Then change one category at a time: source image, subject action, camera instruction, composition, timing, or model/settings. If you rewrite everything at once, you lose the ability to learn which change improved the clip.

The prompt optimizer can help reshape a rough prompt, but the creative decision still belongs to you. Review the optimized text and make sure it has not added actions, objects, or cinematic language that conflicts with your source.

When the clip feels static

Replace vague requests such as make it move with a visible action and direction. Specify what initiates movement, what moves first, how far it travels, and whether the camera remains locked or follows. Environmental motion can support the subject without competing with it.

When identity or shape drifts

Reduce the number of transformations and emphasize stable anchors. For image-to-video, use a cleaner source frame with a clearly separated subject. Ask for subtle motion before attempting a dramatic turn, large camera orbit, or major change in viewpoint.

When the camera does too much

Choose one dominant move and remove decorative camera terms. A slow push-in plus a small subject gesture is easier to interpret than a pan, zoom, orbit, crane, and handheld shake in the same brief.

When framing breaks

Return to the source composition and selected aspect ratio. Give the subject breathing room in the direction of travel, avoid placing essential details against the edge, and describe whether the camera should preserve or reveal the surrounding space.

When sound intent is unclear

First confirm that the selected model exposes the relevant audio behavior. Then separate spoken lines, ambient sound, music, and silent visual beats in the prompt. Do not assume an audio toggle or a particular audio result is universal.

Why Use One Hub for Two Video Workflows

Keeping text-to-video and image-to-video in one hub makes comparison easier without erasing their differences. You can begin with a written concept, then move to an image-led version after a key frame is approved. Or you can start from an existing image and return to text-to-video when you decide the visual direction needs a more fundamental change.

Both modes use the same model picker, credit estimate, submission flow, and Workspace, so you can switch methods without changing accounts or searching through separate histories. The dedicated guides still matter because creating a scene from text and animating an existing frame require different preparation, prompting, and troubleshooting.

Use this AI video generator as the decision and creation hub. Use the text-to-video guide when your main challenge is writing the scene. Use the image-to-video guide when your main challenge is preparing the frame and controlling motion without losing the source composition.

Continue with the Right Genify Tool

Move to a dedicated workflow guide or compare video creation with the existing image tools.

AI Video Generator FAQ

These answers explain the current text-to-video and image-to-video workflows. Available controls can vary by model, so review the settings shown after making a selection.
Can free credits be used in the AI Video Generator?
Yes, when your available balance is enough for the task. Video usually costs more credits than a basic image, so check the estimated credit cost after selecting a model, duration, resolution, and other supported settings.
How do model price, speed, and quality compare?
The AI Video Generator calculates cost from the selected model and supported settings. Processing time and output quality also vary with duration, resolution, audio, current demand, and scene complexity. Compare models with the same short brief rather than assuming the most expensive option is always best.
Which durations, ratios, resolutions, and audio options are supported?
Capabilities vary by model. Select a model and use the settings shown on the page; options that do not appear are not available for that selection. Review the final credit estimate before submitting.
What is the difference between text-to-video and image-to-video?
Text-to-video asks the selected model to build the visual scene from a written description. Image-to-video supplies a still image as the visual starting point and uses the prompt mainly to describe motion, camera behavior, and changes over time. Choose according to whether the opening look already exists.
Do all video models have the same settings?
No. Aspect ratio, resolution, duration, audio, and image-input options can differ by model. After choosing a model, the settings shown on the page are the options currently available for that selection.
Can I generate without signing in?
You can browse the public pages without signing in. When you optimize a prompt or start a generation, Genify asks you to sign in before continuing.
Where does a submitted video task appear?
After a successful submission, Genify opens Workspace automatically. You can follow progress there, then preview, download, or continue working with the completed result.
How should I write a motion prompt?
Start with the subject and setting, add one main action, describe one primary camera behavior, then specify light, pace, mood, and the detail that must stay consistent. For image-to-video, avoid wasting the prompt on facts already obvious in the uploaded frame.
Why did my first result not match the idea?
Generated video is sensitive to ambiguous action, overloaded camera language, weak source composition, and settings that conflict with the intended shot. Identify the first mismatch and revise one variable at a time so each iteration teaches you something.