Professional Typography Rendering
The Qwen-Image-2.0 AI image generator handles typography challenges other models struggle with. Text appears exactly where you specify it, maintains proper alignment across multi-column layouts, and renders characters without distortion even in dense compositions. Create marketing materials, educational content, or artistic works with confidence that every word will be legible.
| Prompt | Output Image |
|---|
| A photograph of a slightly worn white dry-erase board with handwritten content in blue, red, green, purple and black markers, titled “THE RISE OF SUBAGENTS” based on Philschmid’s 2025 blog post; it illustrates the problem of monolithic agents and the solution of specialized subagents, features a central “SUBAGENT ARCHITECTURE” flowchart with an orchestrator agent and isolated subagents, divides into explicit user-defined and implicit on-the-fly subagents with their respective pros and cons, lists conclusion takeaways at the bottom, and has markers and an eraser in the tray with overhead light reflections. |  |
Stronger Semantic Adherence
Generate images where the AI image editor maintains logical consistency. Position characters in specific locations, arrange products in deliberate patterns, or create architectural visualizations with accurate perspective. The model interprets your instructions and applies them correctly across the entire composition.
| Prompt | Output Image |
|---|
| First-person perspective photorealistic image of a pair of hands holding a 500ml Fanta Orange bottle in a brightly lit supermarket aisle lined with beverage shelves, surrounded by floating semi-transparent AR-style info cards: a checklist card highlighting "Fanta Orange (500ml)" and related items, a nutrition facts card listing calories, sugar, and vitamin content, and three recipe cards for Fanta Spritz, Tropical Fanta Slush, and Fanta Sunset Mocktail, all set against a futuristic, tech-infused aesthetic with clean modern UI elements, sharp details, bright supermarket lighting, and a shallow depth of field to focus on the bottle and info cards. |  |
Improved Text Rendering
The Qwen-Image-2.0 AI image generator excels at rendering text in challenging contexts. Generate watermarked photographs with clear copyright notices, design product labels with ingredient lists, or create educational posters with detailed explanations. Text remains crisp and legible regardless of image complexity or background patterns.
| Prompt | Output Image |
|---|
| Professional food infographic, mutton biryani in center, golden rice with mutton, cashews, mint, coriander, served with raita and condiments. Left: "Ingredients" with spices (star anise, cinnamon, cardamom, cloves, bay leaves) and main ingredients (mutton, basmati rice, saffron, yogurt, onions, ginger-garlic paste, ghee) with icons. Right: "Cooking Steps" (Marination, Parboil Rice, Layering, Dum Cooking) with icons. Bottom right: "Additional" info. Modern clean design, warm tones, high resolution, light beige background, clear typography. |  |
Unified Generation and Editing Workflow
Qwen-Image-2.0 merges generation and editing into one seamless process. Start with text-to-image creation, then refine specific areas using natural language instructions. No need to switch between different tools or export-import workflows.
| Prompt | Image 1 | Image 2 | Output Image |
|---|
| Have the three people in @Image 1 stand on the platform in @Image 2. |  |  |  |
Long-Context Instruction Following
Process prompts up to 1,000 tokens for detailed layout specifications. This extended context window enables complex multi-element compositions. Describe complete presentation slides, specify exact text content, define color schemes, and set precise spatial arrangements all in one prompt.
| Prompt | Output Image |
|---|
| A 9-panel comic strip in a vibrant, cartoonish retro pixel-art style, following a young boy inventor and his orange-and-white robot companion as they create a glowing green orb in a cluttered workshop, place it in a glass tank to grow lush greenery, face a corporate agent monitoring them, encounter a hacking-induced corruption warning, flee together, resolve to fix the issue, and prepare to save the city, with detailed linework, warm color palettes, and expressive character emotions. |  |
