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viduq3

Vidu Q3 / 参考生视频

Commercial
ID: viduq3

Base reference-to-video model built for narrative video creation. Supports native audio-video generation and multi-character dialogue. Delivers robust character consistency and scene coherence across up to 16-second clips

价格$0.019/ Second(19 积分)

No subjects added yet.

0 / 4 subjects

输入 Prompt
0 / 5000
5

Upload Wm Url

JPG, JPEG, PNG (Max 10MB)

视频生成

Video Playground Ready

在左侧参数面板中输入提示词,配置参数后点击 Generate。

Vidu Q3 • Reference-to-Video

Vidu Q3Subject-Reference Video with Audio

Vidu Q3 generates reference-conditioned video at 540p–1080p with optional native audio, audio type selection, and watermark position control.

Subject Reference Conditioning
540p / 720p / 1080p
Optional Native Audio
Audio Type Select
ByteDance Seed Foundation Architecture
Commercial License & Enterprise SLA
Vidu Q3 Hero

At a Glance

R2V
Mode
Subject reference
1080p
Max Resolution
Also 540p / 720p
Audio
Native Optional
3 audio types
Seed
Reproducible
Optional pin
Capability Highlights

Vidu Q3 Architecture

Subject-aware multimodal video for production.

Subject Reference Conditioning

Feed subjects so identity stays locked across generated motion variants.

subjectsIdentity Lock
Reference
Audio

Optional Native Audio

Enable audio generation with type selection — all, speech only, or sound effects only.

audiospeech_onlysound_effect_only

540p to 1080p

Draft at 540p, ship social at 720p, and promote heroes to 1080p.

540p720p1080p
540p to 1080p
Watermark Position Control

Watermark Position Control

Optional watermark with selectable corner positions (1–4) and custom watermark URL.

wm_positionwm_url
How It Works

How It Works

From subject reference to finished clip.

01

Prepare Subjects

Collect reference subjects that define identity.

02

Write the Motion Brief

Describe the action and camera language.

03

Set Resolution & Audio

540p/720p/1080p; optional audio type.

04

Watermark & Deliver

Optionally place a watermark and pull the finished clip.

Vidu Q3 Domains

Where subject identity and sound ship together.

Content

Character Motion

Reference-conditioned character clips.

R2V
Growth

Social with Sound

Native audio for Reels and TikTok.

Audio
Commerce

Product Film

Reference-conditioned product motion.

Subjects
Platform

Branded Watermarks

Corner position and custom watermark URL.

wm_position
Best Practices

Prompt Tips

Cleaner Vidu Q3 output.

One subject per reference

Subject references work best when each image has a single clear job.

Mention acoustic mood

If audio is on, name environmental cues so sound matches picture.

Draft at 540p

Explore motion cheaply, then promote to 1080p for finals.

Developer Quickstart

Vidu Q3 Quickstart

Subject-reference video generation.

curl -X POST "https://api.powertokens.ai/v1/videos" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "viduq3",
  "prompt": "Cinematic tracking shot through a neon cyberpunk city in heavy rain.",
  "seconds": "5",
  "size": "1080p",
  "ratio": "16:9",
  "resolution": "1080p",
  "duration": 5,
  "aspect_ratio": "16:9",
  "audio": true
}'

Technical Specifications

Confirmed parameters and runtime execution protocols.

Provider & Model ID
Vidu • viduq3
Mode
Reference-to-video
Resolutions
540p, 720p, 1080p (default 540p)
Duration
Configurable via duration slider (default 5)
Aspect Ratios
16:9, 9:16, 1:1 (default 16:9)
Audio
Optional; all / speech_only / sound_effect_only
Seed
Optional reproducible seed
Watermark
Optional with wm_position 1–4 and wm_url
Billing
See pricing matrix
API Endpoint
POST /v1/videos

价格详情

此模型的实际计费根据您在 API 请求中传入的具体参数动态计算。以下是具体的组合及其对应的价格:

Reference to Video540PPeak Shifting
积分19/ Second
价格 (USD)$0.019
Reference to Video540P
积分34/ Second
价格 (USD)$0.034
Reference to Video720PPeak Shifting
积分29/ Second
价格 (USD)$0.029
Reference to Video720P
积分57/ Second
价格 (USD)$0.057
Reference to Video1080PPeak Shifting
积分34/ Second
价格 (USD)$0.034
Reference to Video1080P
积分72/ Second
价格 (USD)$0.072
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Frequently Asked Questions

Everything you need to know before integrating this model.

Feed subjects so identity stays locked across generated motion variants.

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