Turn a Written Scene Into Motion With Vidu Q2 Text To Video

Last verified: August 2, 2026

A creative director has one evening to test whether a rain-soaked rooftop reveal works in motion. They describe the subject, action, camera, lighting, and mood, then generate a short visual draft instead of committing to a full storyboard. Vidu's official guidance similarly frames text-to-video prompts around concrete scene, style, camera, and movement details.

For Q2 itself, Vidu's official model map identifies text-to-video as its supported generation mode and positions the model around motion dynamics, expressive emotion, and richer detail. The practical game-changer for creators is the ability to judge a scene in motion before committing to a shoot, edit, or longer production path.

Vidu's published research describes the original system—not a Q2-specific architecture sheet—as a diffusion model that compresses video with an autoencoder and uses a U-ViT backbone to model text and spatiotemporal video tokens. That context explains the model family's focus on coherent, dynamic scenes without overstating what has been publicly disclosed for this exact version.

Explore More Text To Video

Capability Snapshot

Know the Run Before You Generate

A verified snapshot of the inputs, outputs, options, and expected resource use on this page.

Required input

One text prompt

Output profile

1 video at medium quality

Clip length

4, 5, 6, 7, or 8 seconds

Resolution

720p or 1080p at every listed duration

Aspect ratios

1:1, 9:16, or 16:9

Choose This Workflow for Fast Scene Exploration

Compare where a prompt-first short-clip workflow fits and when a more controlled production method is the better choice.

Starting material Starts from a written scene description with no source media required. Use image-led or reference-led generation when the opening composition or recurring identity must be visually anchored. Concept artists, social creators, and early previsualization
Iteration objective Lets you test different scene, mood, and camera ideas without preparing production assets first. Use a traditional production workflow when the creative direction is already approved and execution precision matters more than exploration. Low-commitment creative experiments
Timing precision Generates motion from descriptive cues rather than a frame-by-frame timeline. Choose keyframing or timeline editing for exact beats, repeatable paths, and frame-specific revisions. Scenes where interpretive motion is acceptable
Delivery scope Produces one 4–8 second square, portrait, or landscape video per generation. Use a multi-clip editor or another production path for longer sequences, native sound, or synchronized dialogue. Short visual concepts and standalone scene beats

Choose this workflow when the idea begins as text and the immediate goal is to see one short scene in motion. Move to reference-led or timeline-based production when identity, timing, sound, or shot continuity must be tightly controlled.

Budget the Experiment Before Committing

Each generation is expected to use 90 credits and take about 120 seconds, so decide whether the prompt is specific enough before submitting it. A one-variable-at-a-time iteration plan helps avoid spending another run without learning what changed.

Return to a Direction With Seed Support

The page supports a seed, giving you a controlled reference point for prompt and setting experiments instead of relying only on a fresh random start. Treat the seed as an iteration aid rather than a promise of frame-identical output.

Finish With a Direct Download

The workflow ends with downloading the single generated video, with no separate export setup described for this page. Review the completed clip, keep the useful take, and move it into your editing or publishing workflow.

From Scene Brief to Downloadable Clip

Four steps take a written idea through creative setup, generation, and export.

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Step 1: Write One Focused Scene

Describe the main subject, setting, primary action, camera behavior, lighting, and intended mood. Keep the clip centered on one readable visual beat.

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Step 2: Configure the Run

Set the aspect ratio, general or anime style, movement amplitude, and a 4–8 second duration. Choose 720p or 1080p, use a seed if desired, and repeat essential style and motion directions in the prompt.

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Step 3: Generate the Video

Click Generate to submit one video job. The expected cost is 90 credits, the estimated generation time is 120 seconds, and the fixed quality profile is medium.

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Step 4: Review and Download

Check the resulting composition, motion, and scene clarity, then download the final video when it supports the intended concept.

Catch Problems Before the Q2 Run

Complete these four checks before committing the expected 90 credits to a generation.

Before you generate, verify that one subject, one primary action, and one setting are explicit.

Cause: A broad prompt with several competing events gives a short clip too many visual priorities.

Fix: Rewrite the idea as subject + action + setting + camera + lighting. Move secondary actions or location changes into separate clips.

Retry: Retry after simplifying the scene and changing only the prompt.

Before you generate, verify that style, subject motion, and camera motion are written into the prompt.

Cause: The page exposes style and movement choices, but Vidu's API reference says those parameters do not take effect for Q2.

Fix: Use direct phrases such as “hand-drawn anime,” “the runner accelerates,” or “the camera slowly dollies forward” instead of relying on selectors alone.

Retry: Retry when the visual treatment, action level, or camera behavior misses the brief.

Before you generate, verify that the aspect ratio and duration match the destination.

Cause: A wide composition can feel cramped in 9:16, while a scene with setup and payoff may be rushed at the shortest duration.

Fix: Use 9:16 for portrait delivery, 1:1 for square placements, or 16:9 for horizontal scenes. Give longer actions more time within the available 4–8 second range.

Retry: Retry after changing the framing or duration while keeping the scene wording stable.

Before you generate, verify that the seed and the next variable to test are recorded.

Cause: A random seed and several simultaneous changes make it difficult to identify why two generations differ.

Fix: Keep a useful seed where possible and alter only one element, such as the camera move, lighting, action, or duration.

Retry: Retry once you can name the single hypothesis the next 90-credit run is testing.

Frequently Asked Questions

How do I use Vidu Q2 Text To Video?

Write a standalone scene prompt, choose the aspect ratio, style, movement amplitude, duration, resolution, and optional seed, then click Generate. A successful run returns one video that you can review and download.

Can I upload an image or video to this workflow?

No source media is listed for this page. The required input is a text prompt, so describe the complete subject, setting, action, camera, lighting, and visual treatment in words.

What should I expect from one successful generation?

The configured output is one medium-quality video. Available durations are 4–8 seconds, supported resolutions are 720p and 1080p, the expected cost is 90 credits, and the estimated processing time is 120 seconds.

Does this page generate dialogue, music, or sound effects?

The verified workflow only specifies video output. It does not list audio prompt input, generated audio tracks, dialogue, music, or sound effects, so plan to handle sound separately.

Which duration should I choose for a scene?

A 4- or 5-second option usually suits one immediate action or reaction. A 6- to 8-second option gives a scene more room for an entrance, camera move, or visual payoff, although the prompt should still focus on one main beat.

Does choosing 1080p change the medium quality profile?

No. The page offers 720p and 1080p as resolution choices while keeping the quality profile fixed at medium. A larger pixel dimension does not guarantee that every generated detail or movement will be production-ready.

How should I structure a complex Q2 prompt?

Prioritize one subject and one action, then add the setting, camera move, lighting, mood, and art direction in that order. If the concept requires several locations, characters, or consecutive events, split it into separate clips rather than compressing the full sequence into one prompt.

What does seed support do?

Vidu's API documentation says that a manually supplied seed overrides the random seed used by default. Use it as a reference point when comparing prompt or setting changes, but do not treat it as a guarantee of an identical video on every run.

Can I use a generated video commercially?

The workflow details supplied for this page do not state a commercial-use license or ownership grant. Review the terms that apply to your account, prompt content, and intended distribution before using an output in paid, client, or branded work.

References

Sources and citations used to support the content provided above.

Updated: 2026-08-02 16:02:20 5 Sources

www.vidu.com

Source Link
https://www.vidu.com/tools/text-to-video-model

platform.vidu.com

Source Link
https://platform.vidu.com/docs/model-map

arxiv.org

Source Link
https://arxiv.org/abs/2405.04233

platform.vidu.com

Source Link
https://platform.vidu.com/docs/introduction

platform.vidu.com

Source Link
https://platform.vidu.com/docs/text-to-video