Qwen Image Max for Text to Image
Create a high quality using the flagship model of Qwen Image
Qwen Image Max
Text2Image
0
42
Qwen Image Max is the flagship text‑to‑image variant in the Qwen‑Image family, built to turn complex prompts into high‑resolution images with very strong text rendering and semantic control.
Overview
Qwen Image Max uses a 20B Multimodal Diffusion Transformer backbone, pairing a powerful visual decoder with Qwen’s multimodal language encoder. It is designed as a general‑purpose generator for photoreal, illustration, anime, maps, UI, and document‑style images, while remaining especially strong at embedding long, multi‑line English and Chinese text directly into the visuals.
What it is good at
High‑resolution generation suitable for professional work (posters, covers, marketing graphics), with native support for large outputs rather than relying only on external upscalers.
Best‑in‑class text inside images: headlines, paragraphs, labels, signage, and UI text, including bilingual English/Chinese layouts.
Semantic precision: you can describe specific changes or structured scenes (for example, “two panels, left = before, right = after”) and it follows those instructions closely.
Why it matters
Serves as the top‑tier option in the Qwen ecosystem when you need both visual polish and robust typography in a single pass.
Bilingual understanding makes it well‑suited for global products, where assets must mix languages without warping characters or breaking layout.
Built on the same foundation as the edit models, so pipelines can generate with Max, then refine with Qwen Image Max Edit while preserving text and structure.
Typical use cases
Professional graphic design: posters, social ads, banners, and landing‑page hero images with integrated headlines and body text.
Content localization: generating or adapting images that need clean Chinese and English text in the same layout (signage, UI, packaging, in‑world documents).
Rich worldbuilding assets: maps, lore pages, and environmental art with readable labels, annotations, and diegetic text.
Read more
Nodes & Models
QwenImageMax_floyo
WorkflowGraphics
PreviewImage
Qwen Image Max is the flagship text‑to‑image variant in the Qwen‑Image family, built to turn complex prompts into high‑resolution images with very strong text rendering and semantic control.
Overview
Qwen Image Max uses a 20B Multimodal Diffusion Transformer backbone, pairing a powerful visual decoder with Qwen’s multimodal language encoder. It is designed as a general‑purpose generator for photoreal, illustration, anime, maps, UI, and document‑style images, while remaining especially strong at embedding long, multi‑line English and Chinese text directly into the visuals.
What it is good at
High‑resolution generation suitable for professional work (posters, covers, marketing graphics), with native support for large outputs rather than relying only on external upscalers.
Best‑in‑class text inside images: headlines, paragraphs, labels, signage, and UI text, including bilingual English/Chinese layouts.
Semantic precision: you can describe specific changes or structured scenes (for example, “two panels, left = before, right = after”) and it follows those instructions closely.
Why it matters
Serves as the top‑tier option in the Qwen ecosystem when you need both visual polish and robust typography in a single pass.
Bilingual understanding makes it well‑suited for global products, where assets must mix languages without warping characters or breaking layout.
Built on the same foundation as the edit models, so pipelines can generate with Max, then refine with Qwen Image Max Edit while preserving text and structure.
Typical use cases
Professional graphic design: posters, social ads, banners, and landing‑page hero images with integrated headlines and body text.
Content localization: generating or adapting images that need clean Chinese and English text in the same layout (signage, UI, packaging, in‑world documents).
Rich worldbuilding assets: maps, lore pages, and environmental art with readable labels, annotations, and diegetic text.
Read more