curl-X POST 'https://pollo.ai/api/platform/v1/generation/qwen/qwen-image-3/image'\-H'Content-Type: application/json'\-H'x-api-key: YOUR_API_KEY'\-d'{ "input": { "prompt": "A cinematic shot of a golden retriever running through a field of sunflowers at sunset, warm rim light, shallow depth of field", "aspectRatio": "1:1", "resolution": "1K" }}'
Optionally include webhookUrl to receive a callback when the task succeeds or fails.
Optional request field
{"input":{"prompt":"A cinematic shot of a golden retriever running through a field of sunflowers at sunset, warm rim light, shallow depth of field","aspectRatio":"1:1","resolution":"1K"},"webhookUrl":"https://example.com/webhooks/pollo"}
Schema
Input fields for the selected endpoint and mode.
Field
Type
Required
Description
prompt
string
Yes
Text prompt describing the content to generate.
aspectRatio
string
No
Output aspect ratio, as width:height (e.g. 16:9).
resolution
string
No
Output resolution of the generated media (e.g. 720p, 1080p, 2K, 4K). Values are case-insensitive.
Make the words and layout part of the image brief. Qwen Image 3.0 turns detailed instructions into visuals with clear typography and structured compositions.
Add Qwen Image 3.0 to your application through Pollo API for illustrated guides, labeled visual content, and design drafts that combine a message with imagery.
Key Features of Qwen Image 3.0 API
Text Within Images
Lettering can sit alongside illustrations as part of the generated composition. Use explicit copy to make a headline, label, or short message central to the design.
Structured Composition
Detailed prompts can describe where elements belong and how they relate. This helps organize a visual around sections, groups, and a clear point of emphasis.
Detailed Prompt Understanding
The model’s focus on prompt interpretation supports briefs containing several content requirements. Organize those requirements clearly so the most important elements receive the strongest emphasis.
Image-Guided Revision
Existing images can serve as the basis for another version. Specify the requested content change and the visual relationships that should remain consistent throughout the revision.
Use Cases of Qwen Image 3.0 API
Labeled Learning Cards: Pair a simple illustration with supplied terms so the image communicates a specific concept at a glance.
Community Information Graphics: Turn event details into an organized visual with a headline, supporting information, and a recognizable illustration.
Visual Checklist Drafts: Arrange supplied tasks beside simple icons, keeping each item in a predictable position.
Menu and Directory Concepts: Explore grouped items and section labels before rebuilding the approved layout as editable content.
Instructional Story Panels: Present a short, supplied sequence in separate illustrated panels with concise accompanying labels.
Existing Design Variations: Use a source image to explore revised content or visual treatment while keeping its overall structure in the brief.
How to Use Qwen Image 3.0 API
Get an API Key: Create a Pollo API account and generate your API key from the developer dashboard.
Choose the Model: Send requests to the Qwen Image 3.0 endpoint at /generation/qwen/qwen-image-3/image.
Add Your Inputs: Supply the layout instructions and exact text, plus supported source images for revisions. Select aspectRatio and resolution in the request.
Generate and Retrieve: Submit the task, check its status, and retrieve the completed image. Verify wording and layout against your original content before export.
Prompting Best Practices for Qwen Image 3.0 API
Start with what the image needs to communicate. Define the format, divide the content into a few clear areas, and provide the exact words for each.
A Simple Prompt Formula
Communication goal + visual format + section arrangement + illustration for each section + exact labels + palette + spacing
What You Should Notice
One Main Message: Give the viewer a clear takeaway before adding supporting content.
Explicit Grouping: Name the number of cards, rows, or panels and state what belongs in each one.
Short Labels: Use concise copy where possible so lettering has room to remain readable.
Ordered Instructions: Present the content in the same sequence that the viewer should read it.
Content Verification: Supply factual text yourself and check the result; image generation should not be treated as a source for invented figures or instructions.
Example Prompts
A Library Reminder Card
“Create a friendly digital reminder card titled ‘READY TO RETURN?’. Below the heading, arrange three equal icons: a stack of books, a calendar, and a library doorway. Label them ‘Gather’, ‘Check’, and ‘Return’. Use teal and coral on white, rounded illustration, ample spacing, and no additional text.”
A Neighborhood Swap Event
“Design a square graphic for a neighborhood plant swap. Put ‘BRING A PLANT, TAKE A PLANT’ at the top, three illustrated potted plants in the center, and ‘Sunday • Community Courtyard’ at the bottom. Use leaf green, terracotta, and cream. Keep the lettering clear and the composition uncluttered.”
A Picnic Checklist
“Create a cheerful flat picnic checklist graphic with the heading ‘PACK FOR THE PARK’. Arrange four evenly spaced rows with matching illustrations and labels: ‘Blanket’, ‘Water’, ‘Snacks’, and ‘Book’. Place an empty checkbox before each label. Use sky blue accents, simple outlines, white background, and no extra items.”
Qwen Image 3.0 vs Qwen Image 3.0 Pro vs GPT Image 2.5
Workflow Choice
Qwen Image 3.0
Qwen Image 3.0 Pro
GPT Image 2.5
Available creation modes
Text-to-image and image-to-image
Text-to-image and image-to-image
Text-to-image and image-to-image
Documented emphasis
Typography and organized compositions
Fine details and refined layouts
Detailed instructions and visual editing
Suggested first project
A labeled guide or information card
A dense editorial layout
A controlled revision to an existing asset
Main evaluation question
Does the visual communicate the supplied content clearly?
Do small details remain useful and legible?
Does the edit preserve what should stay?
Project suggestions are editorial judgments, not performance rankings. Current model options appear on Qwen Image 3.0, Qwen Pro, and GPT Image 2.5.
Why Choose Qwen Image 3.0 API?
Qwen Image 3.0 is a useful candidate when the message depends on the combination of illustration, labeling, and content placement rather than imagery alone.
With Pollo API, developers can offer this workflow alongside other image and video models, letting users choose a suitable generation path within the same application.
Try Qwen Image 3.0 on Pollo API with a labeled guide or information card, then refine the arrangement until the message reads clearly at a glance.
Qwen Image 3.0 API FAQs
What is Qwen Image 3.0?
Qwen Image 3.0 is an image generation and editing model from Alibaba’s Qwen family. Pollo highlights its text rendering, detailed prompt understanding, and ability to produce organized visual compositions.
Can Qwen Image 3.0 place text inside an image?
Yes. Text rendering is one of its stated strengths. Provide the exact wording and layout instructions, then check that the result has the correct characters and no unwanted repetition.
Can Qwen Image 3.0 modify an existing design?
Yes. Pollo lists image-to-image support. Provide the existing design and describe the intended revision, including which content, arrangement, or visual details should remain part of the new version.
Should I use Qwen Image 3.0 or Qwen Image 3.0 Pro?
Start by testing the standard model on your brief. Evaluate Pro when finer details or more demanding layouts matter, and compare the resulting improvement against the current generation cost.
Can Qwen Image 3.0 generate a working checklist or menu?
It can create an image of the design. Editable text, interactive checkboxes, and live menu data require implementation in another tool or in the application that uses the generated visual.
How do I improve a crowded Qwen Image 3.0 layout?
Reduce the number of sections, shorten the copy, and assign a clear reading order. State which element deserves the most space, then regenerate and review at the final display size.
