Surpassing Nano Banana 2: New Benchmark for Consistency in Chinese AI Image Generation — Vidu Offers Unlimited Free Images for a Limited Time

AI Image Generation — From “Looks Great” to “Works Great”

AI image generation tools are both lovable and frustrating.

At first use (your first generation), results seem stunning — everything is amazing. But as you go deeper (create a series, integrate into a production workflow), unpredictability sets in.

This “can only look, can’t work” phenomenon makes real-world adoption awkward.

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Enter Nano Banana & Vidu Q2 — The Stability Revolution

Tools like Nano Banana first proved that AI results can be precisely controlled. Now, domestic solutions have joined the race.

Vidu Q2 adds text-to-image, reference-to-image, and image-editing, shifting the competitive focus from “looking good” to being stable.

What “Consistency” Means

It’s about fixing long-standing AI pain points:

• Character design collapse
• Product deformation
• Style mutations

The goal isn’t just flashy posts — it’s a practical, end-to-end workflow.

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Performance Ranking & Free Access

In the latest AA rankings, Vidu Q2’s editing beat OpenAI’s GPT‑5.

A startup just over two years old now ranks alongside Google and ByteDance, chasing Nano Banana Pro, and offering creators peace of mind.

Free Mega Pack Until Dec 31

• Standard/Pro members: 300 free generations/month
• Flagship members: Unlimited free generations
• All methods supported: text-based, reference-based, image editing

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Reference-Based Workflows — Core Strength of Vidu Q2

Starting From One Image

Vidu was among the earliest to focus on continuous creation from a reference image.

• Supports largest number of input images in domestic tools
• Delivers highest consistency

The latest update supports more complex multi-reference combinations, making it easier for:

• Designers
• Directors
• Casual creators

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Multi-Reference Generation Example

Inputs:

• Image: “Greater Bay Chicken” national games mascot
• Scene: Bund viewing platform at sunset
• Brief prompt

Results:

• Recalculated lighting & shadow direction
• Pose changes per instruction
• Accurate car-wrap reflections

On repeated runs, key features (like head crest) stayed consistent — critical for IP/brand work.

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Spatial Consistency

Even with complex environments:

• Correct spatial placement (e.g., Forbidden City railings)
• No distortions or unnatural merges

Spatial understanding extends to martial arts motions — actions are recreated without morphing or losing identity.

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Advancing to Storyboarding & Broadcast

For creators, this means:

• Stable characters across multiple shots
• Matching environments treated as real spaces
• Valuable for comics, movie storyboards, composite posters

Examples include varying camera shots from the same source image: close-up, wide shot, detail — all convertible into video.

Style consistency maintains uniformity across multi-frame sequences.

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From Reference to Real Workflows — Image Editing

Vidu Q2 handles 90% of everyday image-editing tasks via natural language:

• Add/remove elements
• Change backgrounds, colors, lighting
• Adjust size/aspect ratio
• Keep subject consistent across edits

Examples:

• Replace train station ad with Elon Musk in seconds
• Add wine glasses to a group seamlessly, adjusting light refraction

• Go from sketch → fully textured product images instantly

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Integration With AiToEarn — From Creation to Monetization

Pairing Vidu Q2’s stable generation with AiToEarn官网 enables:

• Multi-platform publishing (Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X)
• Analytics and AI model rankings (AI模型排名)
• Efficient monetization

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Subject Saving — Building Your Character Library

Steps:

• Generate in text-to-image / reference mode / edit image
• Save subject to library
• Reuse in reference-based video generation

This enables a one-stop flow from inspiration → image → video, without switching platforms. Ideal for:

• Short-form dramas
• Animation
• Advertising
• E-commerce

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Philosophy: Stability Over Surprise

Midjourney = High-performance engine for prompt experts

Vidu Q2 = Mass-production car anyone can drive

Focus: Reliable, repeatable output over randomness — a choice that benefits professional workflows.

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Final Thought

For busy professionals, stable AI creation tools like Vidu Q2 coupled with publishing ecosystems like AiToEarn deliver:

• End-to-end creative control
• Multi-platform reach
• Efficient monetization

This is the shift from “amazing one-off AI art” to consistent, scalable AI content production — a turning point for the industry.