wan-2-2/text-to-image
Generate high quality images from text prompts with Wan 2.2 Plus.
Vidu Q2: Fast Text-to-Image Generation & 4K Visual Creation
vidu/q2/text-to-image
Generate high-quality images and videos from text or references with fast 1080p-4K rendering, consistent styles, and precise detail for professional creative and production workflows.
Introduction to Vidu Q2 Visual Generator
Launched on December 1, 2025, by Singapore-based ShengShu Technology, Vidu Q2 is an upgraded multimodal generation tool that redefines what you can expect from AI-powered visual creation. Building on the Vidu series, this latest version introduces impressive improvements in text-to-image generation, reference-to-image, image editing, and integrated video synthesis. With fast rendering speeds that can reach around five seconds, support for native 1080p, 2K, and 4K resolutions, and consistency that carries across stills and motion, Vidu Q2 offers creators a seamless creative pipeline. Whether your style leans toward anime, Chinese ink painting, or hyperrealistic photography, this model ensures unmatched fidelity, detail preservation, and layout precision.
Vidu Q2 text-to-image lets you instantly transform your ideas into professional-quality visuals. Designed for creators, marketers, and studios, it generates consistent imagery across both static and dynamic formats, boosting your speed from concept to production while maintaining character identity and artistic style.
Creative Examples Generated with Vidu Q2
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Frequently Asked Questions
What is Vidu Q2 and what can its text-to-image feature do?
Vidu Q2 is a multimodal generative AI model created by ShengShu Technology. Its text-to-image feature converts written prompts into high-quality visuals, supporting multiple art styles and offering options for 1080p, 2K, and 4K image outputs.
How does Vidu Q2 differ from earlier models in terms of text-to-image performance?
Compared with its predecessor Q1, Vidu Q2 provides improved consistency in style and subject identity. Its enhanced text-to-image engine produces more detailed, expressive results while rendering faster and handling complex layouts more effectively.
Is Vidu Q2 free to use, especially for its text-to-image generation?
Vidu Q2 offers unlimited 1080p image generation for free until December 31, 2025. Its text-to-image access and usage beyond that depend on credits, which users can manage in Runcomfy’s AI playground.
Who should use Vidu Q2 and its text-to-image capabilities?
Vidu Q2 is ideal for creators, designers, studios, and advertisers. The text-to-image tools benefit those producing concept art, storyboards, marketing visuals, and animated previews that demand consistent style and identity across images and videos.
What outputs and resolutions does Vidu Q2 support for text-to-image use?
Vidu Q2 generates visuals from text-to-image prompts at native 1080p, 2K, and 4K resolutions. It also unifies image and video generation workflows for consistent quality across project formats.
Can Vidu Q2’s text-to-image feature integrate reference images?
Yes, Vidu Q2 allows users to combine text-to-image generation with reference-to-image guidance. This helps preserve character identity, layout, or styling from existing images while creating new compositions.
On what platforms is Vidu Q2 and its text-to-image generator available?
You can access Vidu Q2 through Runcomfy’s AI playground on web browsers, including mobile. Its text-to-image interface is optimized for ease of use and quick generation times.
What are the key limitations of Vidu Q2’s text-to-image tool?
Although Vidu Q2 delivers high fidelity and speed, results may vary depending on prompt clarity and style requests. Extremely abstract or highly specific text-to-image prompts might require several iterations for ideal output.
How fast does Vidu Q2 process text-to-image requests?
Vidu Q2’s upgraded generation stack enables rapid rendering — often around 5 seconds for typical text-to-image requests. Complex scenes or multi-reference compositions can take slightly longer depending on resolution and style.