Models / Vidu
Video

Vidu Q3 Turbo

Faster Vidu Q3 generation with native audio

About model

On Together AI, Vidu Q3 Turbo costs $0.195 per video.

Vidu Q3 Turbo is the speed-optimized variant of ShengShu Technology's Vidu Q3 video model, built for workflows where turnaround matters. It brings the Q3 generation's native audio-video synthesis to faster generation, producing up to 16 seconds of 1080p video with dialogue, sound effects, and music generated alongside the visuals. It supports text-to-video, image-to-video, start and end frame control, and reference-to-video. Available on Together AI.

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Speed-Optimized

Turbo

Faster generation from the Vidu Q3 family

Max Clip Length

16s

At up to 1080p

Audio-Video Generation

Native

Sound generated alongside the visuals

Model key capabilities
  • Fast Generation: Speed-optimized for prototyping, deadline-driven social content, and automated pipelines
  • Native Audio-Video: Dialogue, sound effects, and music generated alongside the visuals
  • Flexible Inputs: Text-to-video, image-to-video, start and end frames, and reference-to-video
  • Available on Together AI: Serverless access through the Together AI API
  • API usage

    • cURL
    • Python
    • Typescript

    Endpoint:

    vidu/vidu-q3-turbo

    curl --request POST \
      --url https://api.together.ai/v2/videos \
      --header "Authorization: Bearer $TOGETHER_API_KEY" \
      --header "Content-Type: application/json" \
      --data '{
        "model": "vidu/vidu-q3-turbo",
        "prompt": "some penguins building a snowman"
      }'
    
    from together import Together
    
    client = Together()
    
    # Create a video generation job
    job = client.videos.create(
        prompt="A serene sunset over the ocean with gentle waves",
        model="vidu/vidu-q3-turbo"
    )
    
    import Together from "together-ai";
    
    const together = new Together();
    
    async function main() {
      // Create a video generation job
      const job = await together.videos.create({
        prompt: "A serene sunset over the ocean with gentle waves",
        model: "vidu/vidu-q3-turbo"
      });
    
  • Model card

    Architecture Overview:
    • ShengShu Technology video generation model in the Vidu Q3 family
    • Speed-optimized variant supporting text-to-video, image-to-video, start and end frame, and reference-to-video
    • Up to 16 seconds of 1080p video at 24 fps with native audio generated in the same pass

    Training Methodology:
    • Developed by ShengShu Technology, founded by researchers from Tsinghua University, as the successor to the Vidu Q1 and Q2 generations

    Performance Characteristics:
    • Native audio covers dialogue, sound effects, and music synchronized with the visuals
    • Reference-to-video keeps subjects consistent across camera positions

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  • Prompting

    Together AI API Access:
    • Access Vidu Q3 Turbo via Together AI APIs using the endpoint vidu/vidu-q3-turbo
    • Authenticate using your Together AI API key in request headers
    • Create a video request from a text prompt, an input image, start and end frames, or reference images, then poll until the video completes
    • Available on Together AI with serverless access

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  • Applications & use cases

    Automated Video Pipelines:
    • Integrate fast video generation into production workflows
    • Generate high volumes of clips with native audio
    • Prototype concepts before final renders

    Advertising & Product Video:
    • Turn product references into consistent ad clips
    • Produce variants with synchronized sound design
    • Animate product photos into short videos

    Social & Creator Content:
    • Create social clips with native audio from text prompts
    • Animate images into narrative short videos
    • Iterate on creative concepts quickly

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  • Model provider
    Vidu
  • Type
    Video
  • Main use cases
    Text-to-Video
    Image-to-Video
  • Resolution/Duration
    1080p / up to 16s
  • Deployment
  • Price

    $0.195 / video

  • Input modalities
    Text
    Image
  • Output modalities
    Video
  • Released
    February 19, 2026
  • Category
    Video