When Sora2 Meets China’s Vidu Q2: Domestic Reference Models Just Got Better — Hands-On Test

AI Video Generation Face‑Off: Sora 2 vs Vidu Q2 Reference Generation

During the National Day holiday, Sora 2 stole the spotlight with its new Cameo feature — instantly giving it an “AI version of Douyin” vibe.

Interestingly, this type of feature has already existed in China for some time.

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Instant Style‑Change Demo

Let’s upload an Ultraman photo and try a currently trending “instant style-change” effect:

> Ultraman turns off the light in the room, and the scene instantly shifts into comic style.

🎥 Video link: https://mp.weixin.qq.com/s/B-WVA1DrFLek8e0JueLSvg

This effect is known as Reference Generation, developed by Vidu, powered by the Vidu Q2 model.

Vidu was actually the first to launch a video Reference Generation function globally in September last year. The Q2 version is already the fifth iteration.

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Same Prompt in Sora 2

🎥 Video link: https://mp.weixin.qq.com/s/B-WVA1DrFLek8e0JueLSvg

Observation: Sora 2 didn’t capture the “turn off the light” moment — the character touched a doorknob, and the room was already dim.

However, Sora 2’s edge is its ability to produce audio + video simultaneously.

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Heads-Up: Upcoming Vidu Q2 Update

By the end of the month, Vidu Q2’s Reference Generation feature will get a major upgrade.

We’ve already received beta access — so let's test it firsthand.

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Vidu Q2 Advantage: Multiple Image Support

One core operational benefit of Vidu Q2’s Reference Generation:

• Upload up to 7 reference images
• Tie them together with a single prompt
• Control:
• Video duration
• Resolution
• Aspect ratio
• Batch generation count

This workflow flexibility is currently superior to Sora 2.

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Test 1: Consistency Challenge

Since maintaining character/object consistency is notoriously hard in video AI, let’s test both models.

Prompt:

> Ultraman introduces the handbag in the image.

🎥 Video link: https://mp.weixin.qq.com/s/B-WVA1DrFLek8e0JueLSvg

Vidu Q2 Result:

• Bag & Ultraman remained unchanged throughout
• Bag’s color accuracy matched the reference image

Sora 2 Result:

🎥 Video link: https://mp.weixin.qq.com/s/B-WVA1DrFLek8e0JueLSvg

• Good: Ultraman speaks Chinese while presenting the bag
• Bad: Bag colors changed, stripes reduced from three to two

✅ Winner: Vidu Q2 on consistency.

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Test 2: Physical Realism

Reference image:

Prompt:

> In the dance studio from the image, the woman starts from her pose and dances gracefully with smooth movements. The mirror reflects the entire dance, and the camera pans slowly.

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Vidu Q2 Result:

🎥 https://mp.weixin.qq.com/s/B-WVA1DrFLek8e0JueLSvg

• Minor flaws but overall good physical accuracy.

Sora 2 Notes:

• Real human photos not allowed; replaced with anime character image:

Result: Anime character still missing → switched to pure text prompt

🎥 Video link: https://mp.weixin.qq.com/s/B-WVA1DrFLek8e0JueLSvg

• Generated 3 characters (including in mirror)
• Added music
• Small continuity error (photographer in frame).

Both did moderately well on physical realism.

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Test 3: Camera Movement

Reference image:

Prompt Detail (split shots):

• 0–1s Hair fluttering, draws bow — extreme close-up — glowing forest — arrow release → Cut.
• 1–6s Dark elf running/jumping in forest — free-follow cam, mix close & full shots — weaving between trees → Cut.
• 6–8s Rotating close-up of face — slow motion — wicked smile.

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Vidu Q2 Output:

🎥 Video: https://mp.weixin.qq.com/s/B-WVA1DrFLek8e0JueLSvg

Smooth tracking from close-up → long shot → zoom — very anime-like.

Sora 2 Output:

🎥 Video: https://mp.weixin.qq.com/s/B-WVA1DrFLek8e0JueLSvg

More cut shots → heightened tension; Vidu Q2 felt more like anime cinematography.

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Overall Comparison

• Sora 2 strength: Audio + video sync
• Vidu Q2 strength: Consistency, workflow flexibility, physical adherence

The true battle is not just about raw model output but about integration into a creator’s workflow & monetization pipeline.

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Why Consistency Matters

For commercial AI video:

• Essential for AI short dramas, ads, virtual idols
• If characters change each clip → story continuity breaks
• Consistency is key for scalable, repeatable production

Vidu Q2’s focus here aims to industrialize AI video generation into stable, commercial-ready output.

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Ecosystem Advantage

Building an “AI TikTok” involves:

• Ideation
• Creation
• Editing
• Distribution
• Monetization

Platforms like AiToEarn官网 integrate:

• AI generation tools
• Multi-platform publishing (Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X/Twitter)
• Analytics & model ranking (AI模型排名)

This ecosystem approach allows creators to produce → publish → profit more seamlessly.

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Upcoming Vidu Q2 Character-to-Video Update

End of month release:

• Meets professional & semi-pro needs
• Targets commercial sectors:
• Ads & e-commerce
• Film & animation shorts
• Interactive entertainment
• C‑end (consumer-level) friendly
• Possible audio integration

Experience Link:

https://www.vidu.cn/create/character2video

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Final Takeaway

Whether Sora 2 or Vidu Q2, rapid iteration is pushing tech maturity and lowering costs.

The bigger picture: this is the opening chapter of the AI video productivity revolution.

Real winners will be those who:

• Nail consistency
• Integrate into full content ecosystems
• Enable scalable, monetizable production

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Would you like me to produce a comparison table for Sora 2 vs Vidu Q2 so the differences are instantly visible? That way this Markdown becomes more reference‑friendly for readers.