Create Complete Story Beats in One Pass
Last verified: July 30, 2026
Vidu Q3 generates video and native audio together, producing story clips up to 16 seconds with dialogue, voiceover, effects, and music synchronized in one pass. ShengShu Technology introduced the model on January 30, 2026 as a narrative-focused generation in the Vidu family.
Its signature strength is integrated storytelling: camera pacing, shot transitions, spoken performance, environmental sound, and music can be planned as one sequence. While Q2 Reference-to-Video Pro emphasizes reference-driven control and iterative visual changes, Q3 centers synchronized sound-and-vision generation for animation, short drama, film concepts, and narrative advertising.
This page includes Q3 Pro and Turbo text and image paths, a Q3 multi-reference workflow, and Q2 options for shorter controlled clips. Available controls depend on the exact mode and variant selected.
Explore Vidu AI's Models
Q2 and Q3 Generation Limits
Unmarked values are selectable here; the phrase 'Vidu lab lane' flags a broader creator-side limit.
Clip length
Q3: 4–16 seconds; Q2: 4–8 seconds. Vidu lab lane: Q3 Pro spans 1–16 seconds
Video resolution
Q3: 540p, 720p, or 1080p; Q2: 720p or 1080p
Q3 frame formats
1:1, 3:4, 4:3, 9:16, and 16:9 in supported text and reference modes
Synchronized sound
Audio track on Q3 text, Q3 Pro image, and Q3 reference modes
Reference set
1–7 images, with each file up to 10 MB
Motion repeatability
Seed control across variants; motion amplitude in supported image and reference modes
Set Up the Shot Before You Generate
Confirm the variant, source material, motion, and sound plan before committing the scene.
Choose the exact generation path
Select text, single-image, or multi-reference generation first, then choose Pro or Turbo where offered; each path exposes a different control set.
Budget the 2,048-character prompt
Prioritize subject, action, camera direction, spoken lines, and sound cues instead of filling the field with conflicting style adjectives.
Validate image uploads
Use JPG, JPEG, PNG, or WebP files no larger than 10 MB, and check that the primary subject is clear at the intended crop.
Assign each reference one role
When using 1–7 references, separate character, prop, costume, and environment anchors so the model receives a coherent visual hierarchy.
Lock duration and framing early
Select the final social, square, portrait, or landscape format before writing camera movement that depends on available screen space.
Set motion, then preserve the seed
Use motion amplitude only where available, and retain a successful seed when testing controlled prompt changes around a composition you want to keep.
Vidu AI vs Sora AI: Choose the Right Video Workflow
The Vidu column shows controls delivered on this page. When 'Vidu lab lane' appears, the aside belongs only to Vidu's developer offering; the Sora column reflects OpenAI's official model documentation.
| Feature/Spec | Vidu AI | Sora AI |
|---|---|---|
| Creation inputs | Text-to-video, single-image-to-video, and multi-reference-to-video | Natural-language prompt or an image reference |
| Single-generation duration | Q3 selections: 4–16 seconds; Q2 selections: 4–8 seconds (Vidu lab lane expands Q3 Pro to 1–16 seconds ) | Conflicting official sources |
| Generated sound | Q3 text, Q3 Pro image, and Q3 reference modes offer an audio track; Q3 officially supports dialogue, voiceover, sound effects, and music | Sora 2 generates synchronized dialogue, sound effects, and background soundscapes |
| Reference guidance | Q3 reference mode accepts 1–7 JPG, JPEG, PNG, or WebP images, each up to 10 MB | An input image guides the first frame; JPEG, PNG, and WebP are supported, while reusable non-human character assets can place up to 2 characters in one video |
| Shot direction | Q3 supports detailed camera movement and pacing control, including frame-level direction | Sora 2 follows intricate multi-shot instructions while persisting world state across the sequence |
| Repeat and revise | Seed control across linked variants; auto, small, medium, or large motion amplitude in supported image and reference modes | Targeted video edits, clip extension, and reusable non-human character assets |
| Generate either story workflow here | Available directly on Vidofy.ai across the listed Q2 and Q3 workflows | Also available directly on Vidofy.ai for Sora video generation |
Match the Model to the Shot
Anchor-heavy storytelling
Choose the Q3 reference path when a scene must combine approved characters, costumes, props, environments, or visual styles. Multiple anchors give the model more concrete identity information than a prompt alone, while Sora 2 separates opening-frame guidance from reusable non-human character assets.
Physics-heavy motion
Use Q3 when the creative brief centers on a compact narrative beat in which dialogue, atmosphere, camera rhythm, and visual performance must land together. Consider Sora 2 when the hardest part of the shot is realistic physical behavior, complex motion, or maintaining world state through detailed multi-shot instructions.
Choose the Workflow Your Shot Actually Needs
Use this quick guidance to pick the best option for your workflow.
When to choose each: Use Vidu Q3 for sound-led story beats, multi-reference character or product continuity, animation, and controlled camera pacing. Use Sora 2 for prompts whose success depends primarily on physical realism, intricate motion, or broader world simulation.
Build a Finished Q3 Story Beat in Four Steps
Four focused steps take you from generation-path selection to an inspected clip.
Step 1: Choose the generation path
On Vidofy, select the exact text, image, or reference variant that matches your source material, speed target, and quality goal.
Step 2: Write the scene or add images
Enter a standalone prompt, then add a compatible image or reference set only when the selected mode accepts those inputs.
Step 3: Set the production controls
Choose the available duration, resolution, frame format, movement level, audio setting, and seed for that exact variant.
Step 4: Generate and refine
Run the clip, inspect subject stability, timing, sound alignment, and framing, then adjust one variable at a time or reuse the seed.