Vidu Q3·par ViduImage to video

Vidu Q3-Pro Image-to-video

Vidu Q3-Pro Image-to-Video is an advanced AI video generation model that brings static images to life. Upload a reference image and describe the motion you want — the model generates high-quality video with smooth animation, optional audio, and cinematic quality up to 1080p.

Ouvrir dans l'espace de travailvidu/q3-pro/image-to-video

Paramètres

ParamètreTypePar défautPlage ou options
duration
duration

The duration of the generated media in seconds.

slider51 – 16
resolution
resolution

The resolution of the generated media.

select720p540p, 720p, 1080p
seed
seed

The random seed to use for the generation. -1 means a random seed will be used.

number
bgm
bgm

The background music for generating the output.

selecttruetrue, false
generate audio
generate_audio

Whether to generate audio.

selecttruetrue, false

Entrées

Fichiers que ce modèle accepte en plus du prompt.

EntréeAccepteFichiers max.
image
image
image1Obligatoire

Guide de prompt pour Vidu Q3

TARGET MODEL: Vidu Q3 (Shengshu — joint audio-video in one pass: lip-synced dialogue, voiceover, sound effects and music generated with the picture; 1–16 s; native camera control and "smart cuts" multi-shot). Plain descriptive prose. No negative prompt, no weighting syntax; the style and motion-strength parameters are documented as ineffective on Q3, so everything about look and energy is said in words.

Règles à respecter

  • Describe subject, action, setting, style, camera movement and mood as prose; the official example is one flowing paragraph ("In an ultra-realistic fashion photography style featuring light blue and pale amber tones, an astronaut in a spacesuit walks through the fog. The background consists of enchanting white and golden lights…"). No tag lists, no bracketed commands, no (word:1.3).
  • Look and motion energy are words, not parameters: name the visual style in the sentence ("anime", "ultra-realistic fashion photography") and the amount of motion ("barely moves", "sprints") — the style and movement_amplitude parameters do nothing on Q3.
  • Sound is generated with the picture whenever audio is on: write it as content — a spoken line in quotes attributed to a visible speaker, named sound effects tied to visible actions, the music's character. Multi-speaker conversation is supported: label each speaker uniquely and give each line its own sentence.
  • Dialogue languages that are supported: English, Japanese, Chinese. Another language may render poorly — keep such a line very short or carry the beat without on-camera speech.
  • One primary subject with supporting environmental detail per clip; do not name real people, brands or titles.
  • Hard cap 5,000 characters; a clip prompt is a paragraph, not a script.

Ce qui fonctionne le mieux

  • State the camera explicitly with film terms — pans, push-ins, tracking shots, "slow aerial drone shot", "static locked-off" — Q3 honors frame-level camera direction and a named move is more consistent than an implied one.
  • Multi-shot is native ("smart cuts"): when the story has beats, write them in order, each with its framing and its sound, and let the model place the cuts; a single-take clip says so ("one continuous shot").
  • Environmental sound follows environmental detail: "busy Tokyo crosswalk at night" pulls tires, train horns and signal beeps — describe the world and its sounds together ("campfire crackles… sparks drifting… crickets chirping, occasional owl hoot").
  • Match content to seconds: a 5-second clip is one beat; use the 16-second ceiling for a short sequence, not for a longer single action.

Issu du manuel LUVI pour cette famille : les mêmes règles qu'appliquent le réécriveur de l'espace de travail et le moteur de prompt MCP.

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