Generate refined visuals with accurate lighting and text control for design work.






Qwen Image 2512 is a text-to-image generation model available on RunComfy that produces single, high-quality still images from prompts and optional negative prompts. It is suited to creative design, marketing visuals, posters with embedded text, and photorealistic scenes.
Output format: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9
| Parameter | Required | Type | Default | Range / Options | Description |
|---|---|---|---|---|---|
| prompt* | Yes (*) | string | — | — | The prompt to generate an image from. |
| negative_prompt | No | string | "" | — | Optional terms to reduce or avoid in the image. |
| image_size | No | ImageSize | Enum or object | landscape_4_3 | Enum: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9. |
| num_inference_steps | No | integer | 28 | — | Number of inference steps; higher can improve detail at the cost of speed. |
| guidance_scale | No | float | 5 | — | Prompt adherence strength; moderate values typically balance detail and creativity. |
| seed | No | integer | — | — | Fixed seed for reproducible outputs given the same settings. |
| output_format | No | OutputFormatEnum | "png" | jpeg, png, webp | Image file format for the result. |
Generate refined visuals with accurate lighting and text control for design work.
Create cohesive story visuals with sequenced, style-stable image generation.
Precise text rendering & multilingual edits for visual pros
Create lifelike visuals and illustrations from text with flexible design control.
Blend and refine visuals with advanced image editing, depth control, and multilingual design precision.
LoRA-based visual editing model offering structure-aware asset transformation for creative pros
After testing Qwen Image 2512 features in the RunComfy, developers can migrate to the RunComfy API using the same model configuration. They need to create an API key, set generation parameters programmatically, manage usd usage, and follow Apache 2.0 compliance for Qwen Image 2512 deployment in production workflows.
Qwen Image 2512 handles both Chinese and English text with high precision, supporting multi-line paragraphs and mixed-language posters. Its training integrates layout understanding, allowing developers and designers to retain clear font alignment and minimal distortion even across complex designs.
Qwen Image 2512 excels in rendering skin tone variations, hair details, and expressive body postures while maintaining clean, readable embedded text. These strengths make it ideal for magazine covers, advertisements, and infographics requiring both realism and exact typography.
Unlike some competitors that focus primarily on photorealistic style or 4K resolution output, Qwen Image 2512 prioritizes faithful text rendering and balanced natural textures. What's more, it has fast generation speed. Benchmark results indicate that its layout alignment for bilingual content surpasses comparable open-source alternatives.
Qwen Image 2512 is optimal for agencies, educators, and publishers seeking high-quality, multilingual infographics, posters, and ad visuals. It offers a blend of professional-grade image realism and generative flexibility, making it suitable for both prototype design and scaled production.
RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.