How to Use Vidu Q3 to Create Videos

Answer first Vidu Q3 can create short narrative videos from text prompts or reference images while generating synchronized dialogue, sound effects, ambience, and visuals in one workflow. It supports clips of up to 16 seconds at 540p, 720p, or 1080p. Creators can work in the Vidu web product, while developers can call the model through CometAPI with the model ID viduq3.

This guide focuses on the creative process: planning a shot, choosing text-to-video or image-to-video, directing camera movement and audio, generating variations, reviewing failures, and building repeatable web or API workflows.

What Is Vidu Q3?

Vidu Q3 is a third-generation video model from ShengShu Technology and Vidu. It is designed for story-driven video creation rather than simple motion loops. The model can jointly generate the image sequence and native audio, allowing dialogue, environmental sound, effects, and music cues to follow the timing of the scene.

The model is especially relevant for short dramas, comic and manga adaptation, narrative advertising, film previsualization, product storytelling, and social video. Vidu highlights audio-video synchronization, multilingual output, multi-speaker scenes, and detailed camera and pacing control as central Q3 capabilities.

Vidu Q3 is now a model family rather than a single generation configuration. This guide focuses primarily on the Q3 Pro route exposed as viduq3 through CometAPI.

Vidu Q3 Quick Specifications

Source note: Specifications combine the Vidu API documentation and the CometAPI model page**.

Brief Performance Context

Public benchmarks are useful only as a starting point because video quality depends heavily on the prompt, reference image, shot design, and review standard. On SuperCLUE-R2V, Vidu Q3 records 70.89 versus 64.01 for Vidu Q2. The result supports Q3's reference-preservation and subject-continuity improvements, but creators should judge the model with their own characters, products, camera language, and audio requirements.

Creation matters more than a leaderboard For practical work, track the percentage of clips that preserve identity, follow the intended action, use acceptable camera motion, synchronize dialogue, and pass review. The best workflow is the one that produces the most usable shots, not the highest isolated score.

Key Features of Vidu Q3

Native Audio-Video Generation

Vidu Q3 produces picture and sound in one generation pass. A prompt can request spoken dialogue, voiceover, environmental ambience, footsteps, impacts, or other sound effects alongside the visual action. This reduces the need to build a separate soundtrack for every draft and makes timing easier to evaluate during creative review.

There is an important API nuance. Vidu's direct documentation exposes an audio control for Q3, but the separate bgm switch is not effective for Q3. If music is important, describe the musical cue and timing in the prompt. CometAPI's current unified Vidu request exposes prompt, duration, size, and an optional reference image, so audio direction should likewise be written into the prompt.

Up to 16 Seconds in One Generation

A 16-second ceiling is long enough for a complete short narrative beat: an establishing view, one primary action, a line of dialogue, a camera move, and a closing reaction. It is still not long-form generation. Ads, episodes, or music videos require a shot plan, multiple tasks, and editorial assembly.

Multi-Speaker and Multilingual Dialogue

The product is designed for multi-character conversations and supports English, Japanese, and Chinese output. That makes it useful for localized short drama and social campaigns. Treat language support as a capability, not a guarantee of perfect pronunciation, emotion, or lip synchronization in every generation; review each output before publication.

Camera and Pacing Control

Q3 responds best when a prompt describes filmmaking intent rather than only listing objects. Specify the shot size, lens feel, camera path, lighting, action order, pacing, dialogue, and sound cues. A single coherent camera instruction usually produces a higher hit rate than several conflicting movements in the same shot.

Reference-Based Consistency

Vidu's direct reference-to-video workflow accepts up to seven image or text subjects. References can anchor a character, product, prop, or visual style across camera positions.

• Text-to-video: generates the scene, movement, composition, and sound from a written prompt.
• Image-to-video: animates a single input image; the prompt should focus on motion, camera behavior, and audio.
• Start/end-frame generation: creates a transition between two visual anchors on the direct Vidu API.
• Reference-to-video: keeps subjects or style consistent across a generated sequence.

How to Create a Video with Vidu Q3 on the Web

The web workflow is the fastest way to move from an idea to a reviewed clip. Interface labels can change, but the creative logic remains the same: choose the right input mode, prepare the visual anchor, write one directable shot, generate variations, and refine only the failed dimension.

Step 1: Define the Deliverable

Decide where the video will be used, its aspect ratio, target duration, visual style, spoken language, and whether the output must connect to another shot. A social hook, product detail shot, short-drama beat, and film previsualization shot need different pacing.

Step 2: Choose the Creation Mode

Select Text to Video when composition can be invented from the prompt. Select Image to Video when you already have the desired character, product, artwork, or framing. Use Reference to Video on the direct Vidu surface when identity or style must be anchored by several subjects.

Mode decision Use text-to-video for exploration. Use image-to-video when the first frame already contains the design you want to protect. Use reference-driven workflows when consistency matters more than visual surprise.

Step 3: Prepare the Reference Image

For image-to-video, start with a sharp image that already has the correct subject proportions, framing, lighting direction, and background. Leave visual space in the direction the subject or camera should move. Avoid tiny faces, obstructed hands, unreadable product labels, conflicting reflections, and a crop that leaves no room for motion.

Step 4: Select Vidu Q3

Choose Q3 for shortlisted shots where narrative quality, character continuity, dialogue, and synchronized sound matter. Use Q3 Turbo for lower-cost exploration, then move the strongest prompt and reference image to Q3 for the final render.

Step 5: Write a Structured Shot Prompt

Write the prompt in the order the audience experiences the shot: subject and setting, action, camera, look, dialogue, sound, beat timing, and constraints. Give the model one dominant camera move and one primary action.

Reusable prompt structure

Subject + environment + primary action + shot type + camera movement +lighting + visual style + dialogue + sound effects + timing + constraints

Step 6: Direct Dialogue and Sound

Place spoken lines in quotation marks, identify the speaker, describe the delivery, and keep dialogue short enough for the clip. Separate ambience from timed sound effects. For example: Audio: quiet room tone throughout; a ceramic click as the cup touches the table at second four; no music.

Step 7: Set Duration and Resolution

Start with five seconds at 720p. Confirm composition, identity, motion, and audio before spending more on a longer or higher-resolution version. Increase duration only when the shot needs more time to complete its beats; extra seconds do not automatically improve motion.

Step 8: Generate Variations

Generate several candidates from the same core prompt before rewriting everything. Variations reveal whether a problem is random or structural. If every output fails in the same way, change the prompt or reference. If only one output fails, keep the prompt and select another candidate.

Step 9: Review and Revise One Dimension

Review the clip in passes. First check identity and object integrity, then action and camera motion, then dialogue and audio timing, and finally the end frame. Change only the failed dimension so a good composition is not lost while fixing a sound cue.

• Identity failure: strengthen preservation language or use a cleaner reference image.
• Weak action: replace abstract verbs with one visible movement and clear direction.
• Chaotic camera: remove competing movements and specify one path with speed.
• Poor lip sync: shorten dialogue, reduce simultaneous action, and state speaker and delivery.
• Unstable background: simplify the scene and explicitly preserve layout and lighting.

Step 10: Download and Archive the Winning Clip

Download only after the output passes the publication or client-review standard. Save the final clip together with its prompt, input image, model variant, duration, resolution, and generation notes so the creative recipe can be reused.

Why Use Vidu Q3 Through CometAPI?

CometAPI is most useful when a product needs access to several AI providers without maintaining a separate authentication and task-management layer for each one. The current Vidu route follows a unified asynchronous workflow: create a task, receive an ID, poll the job, and download the completed MP4.

• One API key for Vidu and other model families.
• One video task pattern for submission, status retrieval, and download.
• Simpler A/B testing when the same application compares Vidu, Kling, Veo, Seedance, or Wan routes.
• Centralized usage management for billing, monitoring, and operational review.
• Less provider-specific code when model availability or price changes.

Pricing note CometAPI is not automatically cheaper than Vidu's direct API for every Q3 configuration. The value proposition is operational consistency and model choice. Compare the exact route, resolution, duration, queue mode, and billing policy before deployment.

How to Use Vidu Q3 with CometAPI

CometAPI's Vidu implementation uses POST /v1/videos with multipart/form-data. The examples below are server-side. Never expose a production key in browser JavaScript, mobile applications, public repositories, screenshots, or client-side logs.

Step 1: Create and Store Your CometAPI Key

Create or sign in to your CometAPI account, then generate an API key. Store it as an environment variable.

macOS or Linux

export COMETAPI_KEY="your_cometapi_key"

Windows PowerShell

$env:COMETAPI_KEY="your_cometapi_key"

Step 2: Create a Text-to-Video Task

The minimum practical request needs a model ID and a prompt. Add duration and size explicitly so the request is reproducible.

cURL text-to-video request

curl https://api.cometapi.com/v1/videos \  -H "Authorization: Bearer $COMETAPI_KEY" \  -F model=viduq3 \  -F 'prompt=A cinematic medium shot of a young astronaut walking through pale blue fog. Slow dolly-in camera. Soft footsteps and distant mechanical ambience.' \  -F seconds=5 \  -F size=1280x720

The endpoint returns immediately with a task object. It does not wait for rendering to finish. Save the returned id or task_id.

Step 3: Create an Image-to-Video Task

For image-to-video, upload one local image through the input_reference multipart field. Describe how the image should move rather than repeating every visible detail.

cURL image-to-video request

curl https://api.cometapi.com/v1/videos \  -H "Authorization: Bearer $COMETAPI_KEY" \  -F model=viduq3 \  -F 'prompt=The character turns slowly toward the window as rain moves across the glass. Gentle handheld camera, quiet room tone, distant thunder.' \  -F seconds=6 \  -F size=1280x720 \  -F input_reference=@reference.png

Step 4: Read the Task Response

Example accepted-task response

{  "id": "task_example",  "object": "video",  "model": "viduq3",  "status": "queued",  "progress": 0 }

Treat the task identifier as an opaque string. Normalize id and the compatibility alias task_id once, then store the resulting value with the model, prompt, duration, size, request timestamp, and user or job record that initiated the render.

Step 5: Poll the Task Status

Call GET /v1/videos/{task_id} until the status becomes completed, failed, or error. CometAPI's retrieve documentation includes the same terminal-state pattern.

Python polling loop with a timeout

import os import time import requests​ task_id = "<TASK_ID>" headers = {"Authorization": f"Bearer {os.environ['COMETAPI_KEY']}"} terminal = {"completed", "failed", "error"} deadline = time.time() + 20 * 60​ while time.time() < deadline:    response = requests.get(        f"https://api.cometapi.com/v1/videos/{task_id}",        headers=headers,        timeout=60,    )    response.raise_for_status()    task = response.json()    print(task["status"], task.get("progress"))​    if task["status"] in terminal:        if task["status"] != "completed":            raise RuntimeError(task.get("error", task["status"]))        break    time.sleep(10) else:    raise TimeoutError("Video generation did not finish in time")

Step 6: Download the Completed Video

When the task is completed, download the MP4 through the content endpoint. Save the asset to durable storage if the application needs long-term retention.

Download the MP4

curl "https://api.cometapi.com/v1/videos/$TASK_ID/content" \  -H "Authorization: Bearer $COMETAPI_KEY" \  -o vidu-q3-output.mp4

Step 7: Run the Full Workflow in JavaScript

Node.js end-to-end example

import fs from "node:fs";​ const form = new FormData(); form.append("model", "viduq3"); form.append("prompt", "A quiet product reveal with a slow orbit camera and soft mechanical sound design."); form.append("seconds", "5"); form.append("size", "1280x720");​ const auth = { Authorization: `Bearer ${process.env.COMETAPI_KEY}` }; const created = await fetch("https://api.cometapi.com/v1/videos", {  method: "POST", headers: auth, body: form, }).then((r) => r.json());​ let task; do {  await new Promise((resolve) => setTimeout(resolve, 10_000));  task = await fetch(`https://api.cometapi.com/v1/videos/${created.id}`, {    headers: auth,  }).then((r) => r.json()); } while (!["completed", "failed", "error"].includes(task.status));​ if (task.status !== "completed") throw new Error(JSON.stringify(task.error)); const video = await fetch(  `https://api.cometapi.com/v1/videos/${created.id}/content`,  { headers: auth }, ); fs.writeFileSync("vidu-q3-output.mp4", Buffer.from(await video.arrayBuffer()));

Vidu Q3 API Parameters

Source note: The current field names and limits follow the CometAPI Vidu endpoint**.

Supported size values on the documented Vidu route are:

• 960x528 — 540p tier, 16:9.
• 1280x720 — 720p tier, 16:9.
• 1920x1080 — 1080p tier, 16:9.

Compatibility rule Use only parameters documented for the route you call. Provider-native fields such as audio, callback_url, multiple subjects, or off-peak mode should not be assumed to work on CometAPI's unified endpoint unless the CometAPI documentation explicitly lists them.

How to Write Better Vidu Q3 Prompts ？

Write each prompt as a compact shot brief. Keep the fields in the order below, so Vidu Q3 receives the visual foundation before motion, camera direction, lighting, speech, sound, and preservation rules.

Subject   → Environment → Action → Camera → Lighting → Dialogue → Audio → Constraints

Use one clear subject, one primary action, and one camera path. Keep dialogue short, separate ambience from event sounds, and use constraints to state what must remain unchanged. For image-to-video, treat the input image as the visual source of truth and focus the prompt on motion, camera behavior, audio, and preservation.

Cinematic Prompt Example

Subject: A tired detective in a dark trench coat.Environment: A rain-soaked alley beneath a flickering streetlight at night.Action: She stops, hears approaching footsteps, and slowly looks over her shoulder.Camera: Medium close-up with a gentle three-second dolly in and a 35mm lens feel.Lighting: Blue-magenta reflections, soft backlighting, shallow depth of field, and subtle film grain.Dialogue: In a restrained whisper, "You should not have come back."Audio: Steady rain ambience, one distant siren, and footsteps that stop after the line.Constraints: Preserve her face, coat, and alley layout; no subtitles, logos, extra people, or camera shake.

Product Prompt Example

Subject: A premium stainless-steel smartwatch with a clean blue display.Environment: The watch rests on black stone while a thin ribbon of water circles the base.Action: At second three, the display turns on and reveals a single blue pulse.Camera: Slow left-to-right orbit ending on a centered macro view of the watch face.Lighting: Crisp edge reflections, controlled highlights, and a dark luxury color grade.Dialogue: None.Audio: Soft water movement, one precise electronic chime, and a restrained low bass swell.Constraints: Preserve the watch geometry, materials, display layout, and logo placement; no hands, extra text, or deformation.

Anime Prompt Example

Subject: A teenage girl holding a red umbrella in a hand-drawn anime style.Environment: A quiet rural train platform at sunset, with tall grass moving in a warm wind.Action: She looks down the empty track as a distant train light appears, then smiles slightly.Camera: Track slowly beside her and stop in a medium shot when the train light appears.Lighting: Warm sunset light, soft shadows, stable linework, and consistent character colors.Dialogue: She whispers in Japanese, "Yatto kaette kita."Audio: Summer insects, soft wind, and a distant railway bell after the dialogue.Constraints: Preserve the character design, facial features, umbrella color, and anime style; no on-screen text or extra characters.

Image-to-Video Prompt Example

Subject: Preserve the character's face, hairstyle, clothing, pose, and framing from the reference image.Environment: Keep the same room, furniture arrangement, background layout, and window position.Action: The character looks up from the book, smiles slightly, and turns toward the window while the curtain moves in a light breeze.Camera: Use a slow, stabilized push in with subtle natural movement.Lighting: Preserve the original light direction, exposure, skin tone, and room colors.Dialogue: None.Audio: Quiet room tone, soft page movement, light curtain rustle, and distant birds.Constraints: No identity changes, added accessories, hand distortion, sudden camera movement, background replacement, or new objects.

Create a Multi-Shot Video with Vidu Q3

A complete ad, short drama, trailer, or music sequence usually needs several generated clips. Treat Vidu Q3 as a shot generator and use a simple shot list to preserve continuity across the sequence.

Reuse a Continuity Header

Start every shot prompt with the same concise identity block: character appearance, wardrobe, product design, location, time of day, and visual style. Then change only the shot-specific action, framing, camera, and audio.

Reusable multi-shot prompt pattern

Continuity: the same woman in her early thirties, short black hair, dark green coat, silver pendant; rainy neon alley at night; blue-magenta reflections; restrained cinematic realism. Shot 3: medium close-up. She stops beneath the streetlight and looks over her shoulder. Slow dolly in. She whispers, "I heard you." Rain ambience continues; distant footsteps stop at second four.

Match the End of One Shot to the Start of the Next

• Keep screen direction consistent unless the edit intentionally reverses it.
• Carry the same prop in the same hand or position.
• Match wardrobe, weather, light direction, and dominant color.
• End on a stable pose or composition that can become the next reference image.
• Use consistent ambience across adjacent shots and add event sounds only where actions occur.

Assemble and Finish Outside the Generator

Trim weak opening or closing frames, arrange the shots, normalize audio levels, add titles or captions in an editor, and apply final color and sound finishing after generation. AI-generated on-screen text is less reliable than adding exact typography during post-production.

When Should You Choose Vidu Q3?

Model comparison should support the creative decision, not dominate it. The practical question is which workflow best matches the shot you need to produce.

Source note: Model surfaces and available modes can change. Kling's official guide documents 720p/1080p and native-audio modes**; Google describes Veo 3.1's native audio, reference control, and high-resolution workflows**. Price entries are route snapshots rather than normalized quality comparisons; resolution, audio mode, and quality tier differ, so verify the linked model pages before publication.

Practical Selection Result

Choose Vidu Q3 when you need a short narrative shot with character or product continuity, directable camera rhythm, dialogue, ambience, and sound effects in one generation. Use Q3 Turbo to explore prompts, then move only the strongest creative direction to the premium route. Consider another model when clip length, a larger reference stack, specialized multi-shot control, or photorealistic physics is more important than Q3's narrative workflow.

How Much Does Vidu Q3 Cost?

Pricing needs an honest route-by-route comparison. CometAPI bills its Vidu Q3 route per generated second. Vidu's direct API also prices by duration and resolution and offers a lower-cost off-peak queue with a much longer completion window.

Source note: Listed per-second prices from the CometAPI model page and Vidu pricing documentation**. Verify live billing before customer-facing publication or deployment.

At these listed rates, CometAPI is not the cheaper route for every Q3 configuration. Its advantage is operational: one key, a consistent video endpoint, centralized task handling, and easier switching across providers. A team that only uses Vidu and can wait for off-peak processing may pay less through the direct Vidu API.

Example CometAPI Run Costs

Cost per usable clip A low per-second rate can still be expensive if most generations are rejected. Track total spend divided by outputs that pass creative review, not only the advertised price of one render.

Production Best Practices

A Better Creative Iteration Strategy

• Start small. Use a five-second 720p request to validate composition, action, and camera motion.
• Generate controlled variations. Keep the core prompt stable and vary only one creative choice at a time.
• Diagnose the failed dimension. Separate identity, motion, camera, audio, and continuity problems before editing the prompt.
• Separate draft and final routes. Use faster variants for exploration and premium variants only for shortlisted prompts.
• Save the winning recipe. Archive the final prompt, reference, settings, output, and review notes for reuse.

Vidu Q3 Video Review Checklist

Reviewing everything at once makes prompt revision difficult. Use separate passes so each rejection leads to a specific correction.

Approval rule Do not approve a clip only because one frame looks impressive. Watch it at normal speed, then inspect the beginning, action peak, dialogue moment, and final frame. A usable video must remain coherent over time.

FAQs About Vidu Q3

Can Vidu Q3 generate video and audio together?

Yes. Q3 is designed for direct audio-video generation, including dialogue and sound effects. Describe the desired audio and its timing inside the prompt when using CometAPI's unified route.

What is the CometAPI model ID for Vidu Q3?

Use viduq3 with the current CometAPI Videos API. Do not substitute the provider-native viduq3-pro name unless the documentation for the route explicitly requests it.

How long can a Vidu Q3 video be?

A single Q3 generation supports 1–16 seconds. Longer productions require multiple shots and editing.

Does Vidu Q3 support image-to-video generation?

Yes. On CometAPI, upload one image through input_reference and use the prompt to describe movement, camera behavior, sound, and what must remain unchanged.

Can Vidu Q3 generate dialogue in different languages?

Vidu lists English, Japanese, and Chinese output. Review pronunciation, voice identity, emotion, and lip synchronization before shipping localized content.

Should I use Vidu Q3 or Vidu Q3 Turbo?

Use Q3 when final visual quality, narrative consistency, and character continuity matter more than generation speed. Use Q3 Turbo for drafts, prompt iteration, and higher-volume workflows.

Is CometAPI cheaper than the official Vidu API?

Not in every configuration. Current public rates show that Vidu's direct normal and off-peak modes can be cheaper. Choose CometAPI for unified access, one integration, centralized task handling, and easier cross-provider model switching—not on an unsupported claim that every route costs less.

Final Recommendation

Vidu Q3 is a strong option for short, story-driven videos that need picture, dialogue, ambience, and sound effects to arrive together. Its most useful production strengths are 16-second generation, reference-based consistency, multi-speaker storytelling, multilingual output, and prompt-level control over camera and rhythm.

For a first test, use a five-second 720p request with one subject, one main action, one camera move, and clear audio instructions. Iterate on the prompt at low cost, then raise the resolution or duration only after the composition works. Use Q3 Turbo for draft exploration and standard Q3 for shortlisted final renders.

For repeatable production, turn each approved result into a reusable creative recipe: preserve the final prompt, reference image, model ID, duration, resolution, task metadata, and review notes. Build multi-shot videos from stable individual clips, then add exact titles, captions, editing, color, and final sound in post-production. CometAPI is most valuable when this workflow also needs one task pattern and easy routing across several video models.

Start building Open the Vidu Q3 model page, create a CometAPI key, submit a small test task, and validate the complete create → poll → download workflow