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  3. Qwen Image

Render Text in Images Accurately with Qwen Image

Qwen Image is an AI image generation model built to handle one of the hardest problems in AI art: rendering readable, accurate text inside generated images. Whether you need a poster with a legible headline, a social media graphic with a brand name, or a product label with crisp copy, this model produces text that actually looks right instead of the garbled characters most generators produce. The model accepts a text prompt and an optional reference image for image-to-image generation. You can control the aspect ratio across seven presets from 1:1 to 16:9, choose between quality and speed modes, and adjust the guidance scale to push outputs toward realism or stylization. It also supports LoRA weights for style customization and a negative prompt to suppress unwanted visual elements. In practice, Qwen Image fits wherever accurate on-image text matters: social posts, ad mockups, event flyers, or any creative brief that mixes a visual scene with readable words. Open the model on Picasso IA, type your prompt, pick your aspect ratio, and generate in seconds without any coding or account required.

Official

Qwen

473.8k runs

Qwen Image

2025-08-04

Commercial Use

Render Text in Images Accurately with Qwen Image

Table of contents

  • Overview
  • How It Works
  • Frequently Asked Questions
  • Credit Cost
  • Features
  • Use Cases
  • Examples
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Overview

Qwen Image is a text-to-image AI model that addresses one of the most persistent gaps in generative art: producing images where the embedded text is actually readable. Most image generators handle typography poorly, outputting garbled or distorted characters that make on-image copy unusable. Qwen Image was designed with a specific focus on complex text rendering, which makes it a practical choice for anyone creating posters, social graphics, or branded visuals on Picasso IA. Feed it a descriptive prompt and it returns an image where words look like words.

How It Works

  • Write a text prompt describing your scene, including any text you want to appear in the image (for example: "a concert poster for Friday July 18, bold white headline on a dark background")
  • Optionally upload a reference image to activate the img2img pipeline and shape the visual style of the output
  • Select your aspect ratio from seven presets, including 1:1, 16:9, 9:16, and 4:3, to match your target format
  • Set the guidance scale and number of inference steps to balance output detail against generation time
  • Click generate and download your result in WebP, JPG, or PNG

Frequently Asked Questions

Do I need programming skills or technical knowledge to use this? No, just open Qwen Image on Picasso IA, adjust the settings you want, and hit generate.

Is it free to try? Yes, you can run Qwen Image without a paid subscription. Credits apply per generation and you can start the moment you open the model page.

How long does it take to get results? Most generations finish in under 30 seconds. Enabling fast mode applies additional optimizations that reduce generation time at a slight quality trade-off.

What output formats are supported? You can export results as WebP, JPG, or PNG. PNG is lossless and works best for print or further editing. WebP and JPG both support quality settings from 0 to 100.

Can I customize the output style? Yes. Adjust the guidance scale to shift the image between photorealistic and stylized. Add a negative prompt to exclude unwanted elements. Load LoRA weights to apply a specific visual style consistently across multiple runs.

What happens if the text in my image is wrong or distorted? Try rephrasing the text portion of your prompt to be more explicit. You can also increase the number of inference steps for sharper detail and use a fixed seed to compare iterations without changing the base composition.

Credit Cost

Each generation consumes 1 credit

1 credit

or 5 credits for 5 generations

Features

Everything this model can do for you

Accurate text rendering

Generates readable, correctly spelled text inside complex image compositions.

Flexible aspect ratios

Supports seven ratios from 1:1 to 16:9 to match any platform or print format.

Image-to-image pipeline

Upload a reference photo to shape the output style while mixing in new elements from your prompt.

LoRA style loading

Apply custom LoRA weights to lock in a specific visual style across multiple generations.

Style tuning

Adjust the guidance scale to shift the image between photorealistic and stylized results.

Multi-format output

Export images as WebP, JPG, or PNG at quality levels you set from 0 to 100.

Prompt enhancement

Optionally activate auto-prompt improvement to sharpen vague descriptions.

Fine-tune output with seed, steps, and strength

Use Cases

Type a poster layout in a prompt and get a finished image where the headline text is legible and correctly rendered

Generate a social media graphic that includes a branded tagline inside the visual without text distortion

Create an event flyer image with readable date, time, and venue details embedded in the scene

Build a product label mockup with styled text and a matching background from a single descriptive prompt

Generate a book jacket design with title text and author name clearly displayed over an illustrated background

Write short ad copy inside an AI-generated lifestyle scene for a client presentation

Upload a reference image and add new text elements to it via the image-to-image pipeline

Visualizing written scenes or stories

Examples

16:9
webp
3.5s
Go Fast: Yes
Guidance: 4
Strength: 0.9
Image Size: optimize_for_quality
Lora Scale: 1
Enhance Prompt: No
Output Quality: 80
Num Inference Steps: 50

Bookstore window display. A sign displays “New Arrivals This Week”. Below, a shelf tag with the text “Best-Selling Novels Here”. To the side, a colorful poster advertises “Author Meet And Greet on Saturday” with a central portrait of the author. There are four books on the bookshelf, namely “The light between worlds” “When stars are scattered” “The slient patient” “The night circus”

16:9
webp
10.5s
Go Fast: Yes
Guidance: 4
Enhance Prompt: No
Output Quality: 80
Num Inference Steps: 50

A cinematic photograph of a London Underground tube station platform with the main focus on a large TfL red roundel sign reading "REPLICATE STATION" in white Johnston typeface, below it are four classic blue and white enamel directional signs in a horizontal row reading "Qwen Image," "Runway Aleph," "ByteDance OmniHuman," and "Wan 2.2" each with white directional arrows, an elegant woman in a flowing white dress stands on the platform with her long dark hair and dress caught in motion from the wind of a red tube train passing behind her in motion blur, the composition emphasizes the prominent station signage in the upper portion of the frame, characteristic curved tunnel walls with Victorian cream and burgundy tiles, warm golden tungsten lighting creating atmospheric glow, the yellow "Mind the Gap" safety line visible on the platform edge, shot with shallow depth of field focusing on the signage and woman while the moving train creates streaked motion blur in the background

16:9
webp
11.7s
Go Fast: Yes
Guidance: 4
Output Quality: 80
Num Inference Steps: 50

A dynamic portrait photo of a woman, unusual lighting, creative composition, cyan and purple uplighting

4:3
webp
23.6s
Go Fast: No
Guidance: 4
Output Quality: 80
Num Inference Steps: 50

a photo of a woman standing next to a poster, the poster is a beautiful typographical poster that says "Qwen-Image is now on Replicate" against a solid pink and gold background. Behind the woman it is twilight and a beach scene.

16:9
webp
15.0s
Go Fast: Yes
Guidance: 4
Output Quality: 80
Num Inference Steps: 50

A man in a suit is standing in front of the window, looking at the bright moon outside the window. The man is holding a yellowed paper with handwritten words on it: “A lantern moon climbs through the silver night, Unfurling quiet dreams across the sky, Each star a whispered promise wrapped in light, That dawn will bloom, though darkness wanders by.” There is a cute cat on the windowsill.

1:1
webp
2m 19s
Go Fast: Yes
Guidance: 4
Output Quality: 80
Num Inference Steps: 50

A coffee shop entrance features a chalkboard sign reading "Qwen Coffee 😊 $2 per cup," with a neon light beside it displaying "通义千问". Next to it hangs a poster showing a beautiful Chinese woman, and beneath the poster is written "π≈3.1415926-53589793-23846264-33832795-02384197". Ultra HD, 4K, cinematic composition

16:9
webp
15.1s
Go Fast: Yes
Guidance: 4
Output Quality: 80
Num Inference Steps: 50

A slide featuring artistic, decorative shapes framing neatly arranged textual information styled as an elegant infographic. At the very center, the title “Habits for Emotional Wellbeing” appears clearly, surrounded by a symmetrical floral pattern. On the left upper section, “Practice Mindfulness” appears next to a minimalist lotus flower icon, with the short sentence, “Be present, observe without judging, accept without resisting”. Next, moving downward, “Cultivate Gratitude” is written near an open hand illustration, along with the line, “Appreciate simple joys and acknowledge positivity daily”. Further down, towards bottom-left, “Stay Connected” accompanied by a minimalistic chat bubble icon reads “Build and maintain meaningful relationships to sustain emotional energy”. At bottom right corner, “Prioritize Sleep” is depicted next to a crescent moon illustration, accompanied by the text “Quality sleep benefits both body and mind”. Moving upward along the right side, “Regular Physical Activity” is near a jogging runner icon, stating: “Exercise boosts mood and relieves anxiety”. Finally, at the top right side, appears “Continuous Learning” paired with a book icon, stating “Engage in new skill and knowledge for growth”. The slide layout beautifully balances clarity and artistry, guiding the viewers naturally along each text segment.

16:9
webp
13.7s
Go Fast: Yes
Guidance: 4
Output Quality: 80
Num Inference Steps: 50

Bookstore window display. A sign displays “New Arrivals This Week”. Below, a shelf tag with the text “Best-Selling Novels Here”. To the side, a colorful poster advertises “Author Meet And Greet on Saturday” with a central portrait of the author. There are four books on the bookshelf, namely “The light between worlds” “When stars are scattered” “The slient patient” “The night circus”

16:9
webp
1m 53s
Go Fast: Yes
Guidance: 4
Output Quality: 80
Num Inference Steps: 50

宫崎骏的动漫风格。平视角拍摄,阳光下的古街热闹非凡。一个穿着青衫、手里拿着写着“阿里云”卡片的逍遥派弟子站在中间。旁边两个小孩惊讶的看着他。左边有一家店铺挂着“云存储”的牌子,里面摆放着发光的服务器机箱,门口两个侍卫守护者。右边有两家店铺,其中一家挂着“云计算”的牌子,一个穿着旗袍的美丽女子正看着里面闪闪发光的电脑屏幕;另一家店铺挂着“云模型”的牌子,门口放着一个大酒缸,上面写着“千问”,一位老板娘正在往里面倒发光的代码溶液。

16:9
webp
25.3s
Go Fast: Yes
Guidance: 4
Output Quality: 80
Num Inference Steps: 50

A rain-slick, neon-soaked back-alley entrance. A rust-patched metal sandwich-board shows the chalkboard message in glowing white chalk: “Qwen Coffee 😊 ¥12 per cup.” A pulsing cyan neon tube spells “通义千问” in simplified Chinese characters. Next to it, a holographic poster flickers between images of a cyberpunk Chinese woman in reflective vinyl, then to scrolling digits of π that glitch every few seconds.

16:9
webp
11.6s
Go Fast: Yes
Guidance: 4
Output Quality: 80
Num Inference Steps: 50

A dynamic portrait photo of a woman

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