Render Text in Images Accurately with Qwen Image

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

Use Cases

Examples

16:9

webp

3.5s

Enhance Prompt: No

Go Fast: Yes

Guidance: 4

Lora Scale: 1

Num Inference Steps: 50

Output Quality: 80

Strength: 0.9

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

Enhance Prompt: No

Go Fast: Yes

Guidance: 4

Num Inference Steps: 50

Output Quality: 80

A cinematic photograph of a London Underground tube station platform with the main focus on a large TfL red roundel sign reading "PICASSOIA 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

15.1s

Go Fast: Yes

Guidance: 4

Num Inference Steps: 50

Output Quality: 80

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

Num Inference Steps: 50

Output Quality: 80

16:9

webp

1m 53s

Go Fast: Yes

Guidance: 4

Num Inference Steps: 50

Output Quality: 80

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筱，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

Num Inference Steps: 50

Output Quality: 80

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.

Start creating with qwen image