Vidu Q2
Vidu 2.0, a next-generation image-to-video model, launched globally on September 25, overcoming fake expressions and weak actions to deliver more authentic AI video. Experience Vidu Q2 with GoEnhance now.
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Key Features of Vidu Q2
- More Expressive Character Rendering: Natural micro-expressions and body language that convey emotion.
- Higher Visual Consistency: Stable subjects and scenes across frames, with reduced flicker and jumps.
- More Precise Prompt Adherence: Stronger semantic understanding and fidelity to creative direction, with less drift.
- Wider Motion Performance: Nuanced, dynamic movement with better physical plausibility for realistic motion.
- Faster Generation Speed: High-resolution outputs in less time, ideal for rapid iteration.
- Vidu Q2 vs Veo 3: Side-by-side comparison of Vidu Q2 and Veo 3 across expressions, motion, resolution, and creative control.
More Expressive Character Rendering
Delivers lifelike facial micro-expressions and natural body language, making characters feel vivid and emotionally authentic.
| Prompt | Generated Video |
|---|---|
Cinematic close-up shot, 8k render. Inside a softly lit spaceship cabin, an astronaut gently removes her helmet. Her eyes shift subtly, she blinks naturally, lips quiver slightly, and her breathing is visible. Every frame preserves her identity and micro-expressions with high fidelity. Outside the window, small spacecraft drift slowly, enhancing the calm and immersive atmosphere. |
Higher Visual Consistency
Subjects, wardrobe, and backgrounds remain stable frame to frame with fewer flickers, warps, or geometric wobble. Longer shots cut together smoothly, reducing post-production cleanup and reshoots.
| Prompt | Generated Video |
|---|---|
Grand sci-fi temple hall, 8k quality. The camera pushes forward smoothly as a robed figure walks slowly across a vast glowing floor of shifting geometric patterns. Towering crystalline structures rise toward the ceiling, refracting soft blue and gold light. As the figure extends an arm to open a hovering holographic portal, the motion is physically plausible and fluid, with realistic parallax and perspective shifts. Every movement feels graceful, cinematic, and immersive, creating a majestic and mysterious atmosphere. |
More Precise Prompt Adherence
Understands creative intent more accurately: shot lists, camera moves, style notes, and fine details drift less. First-pass outputs align closer to the script, shortening iteration cycles.
| Prompt | Generated Video |
|---|---|
Dynamic tracking shot as the F1 car speeds through a sharp bend on the track, sparks flying from the tires with an intense sense of speed. |
Wider Motion Performance
From subtle nods to large movements and push-ins, motion reads as physically plausible and controlled. Action beats, parallax, and perspective changes are smoother, without the “rubber-band” feel.
Faster Generation Speed
Delivers 1080p-class quality in less time, enabling rapid A/B testing and faster story progress. With our AI video generator, teams can prototype, review, and polish quickly without sacrificing visual fidelity.
Vidu Q2 vs Veo 3
Vidu Q2 leads with high-fidelity micro-expressions, smoother camera motion, stronger identity consistency, and precise prompt adherence, making it ideal for cinematic character and product storytelling. Veo 3, while strong in distribution and API ecosystem, focuses more on accessibility than on fine visual detail.
| Feature | Vidu Q2 | Veo 3 |
|---|---|---|
| Signature strengths | High-fidelity micro-expressions, refined camera grammar, more predictable iteration cadence | Broad reach via Shorts, robust API ecosystem, realistic motion and camera dynamics |
| Prompt/semantic adherence | Less prompt drift, better grasp of fine details, faithful to creative intent | Good semantic control and detail fidelity; fits both consumer and developer workflows |
| Camera motion stability | Smoother push-ins, pull-backs, and tracking; less geometric wobble | Realistic camera dynamics and motion; diverse camera grammar |
| Identity/reference consistency | Consistent character/style across multiple references; stable identity across frames | Good subject consistency for image→video; depends on prompts and asset setup |
| Primary modes | Image→Video; controllable first/last frames; Cinematic/Lightning presets | Text→Video and Image→Video; supports consumer and developer flows |
| Max resolution (public info) | Tuned for short, polished outputs; typically 1080p-class pipelines | Up to 1080p via API; vertical formats supported; low-latency “Fast” tier for Shorts |
| Typical clip length | Selectable 2–8s clips | Shorts flow ~8s; API configurable |
| Best fit | Character/product shots where expressions and camera moves matter | Rapid ideation and broad distribution; Gemini-based developer workflows |
| Release window (public coverage) | 2025 Q3 | 2025 (I/O), ongoing updates |
How to Use Vidu Q2 on GoEnhance AI
01
Choose the Vidu Q2 Model
Open the video model selector and choose Vidu Q2.
02
Upload Image or Type Prompt
Upload a reference photo or write your scene description.
03
Generate with Vidu Q2
Click generate and let Vidu Q2 produce a smooth, cinematic short video.
Frequently Asked Questions
What is Vidu Q2?
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How has Vidu Q2 been improved over Vidu Q1?
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Which types of video projects is Vidu Q2 best suited for?
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What inputs does Vidu Q2 accept?
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Can I use Vidu Q2 videos commercially?
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Is Vidu Q2 free to try?
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Turn your ideas into cinematic short clips in minutes with GoEnhance AI, giving you the perfect balance between fast drafts and polished, high-quality results.
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