Qwen Image 3.0 API

Introduction

Qwen Image 3.0 Image to Image takes one to three reference images plus an instruction and returns an edited result. With a single reference it is a targeted edit; with two or three it merges — a face from one, a garment or a background from another — provided the prompt says which is which.

Qwen Image 3.0 is Alibaba's text-rendering image model: 5,000-character prompts, eight aspect ratios, a 1K or 2K tier, and an editing endpoint that reads one to three references.

Choose a Qwen Image 3.0 mode by starting material

Key features

Text-aware image composition

Qwen Image 3.0 is useful for visual concepts in which supplied wording, composition and image treatment must be considered together. Treat generated lettering as a design draft and proofread it before publication.

New composition and source-led revision are separate jobs

Use text-to-image to establish a visual from a written brief. Use image editing when an existing image supplies the identity, layout or material that must be retained while a defined change is made.

Review hierarchy before decorative detail

For posters, packaging and campaign concepts, decide the message hierarchy and focal area first. A visually appealing result still fails the assignment if the approved copy or product facts are not represented correctly.

Request parameters

Pricing

Prices are in credits, the same credits you use on the website (1 credit = $0.01). The hold is taken when the task is accepted and settled to the actual charge when it finishes; failed tasks are refunded.

Each task is rounded up to whole credits, so one run at the lowest tier costs 5 credits per image ($0.05).

For an exact number before you run, send the same body to POST /jobs/quote.

Use cases

Refine a supplied visual

Use this mode when one to three existing images should fix the subject, layout or material. List them in image_urls in the order your prompt refers to them — first, second, third — and say what each one supplies.

Character sets and fashion series

Keep the character from an approved frame and change one detail per request: wardrobe, light or pose. Fix seed when you compare two wordings of the same change, so the draw is not what moved.

Localised copy variants

Send the approved frame to the editing endpoint and change only the words on the sign. The pose, wardrobe, lighting and grade are described as unchanged, so the variant differs in the copy rather than in the whole picture.

Hospitality and set-dressing plates

Send an approved room or bar plate and add or replace the signage: a door hanger, a menu board, a neon line. Quote the new wording, and when a sign already exists, quote the old string as well.

Prompt guide & pro tips

Choose the ratio and the tier first

aspect_ratio applies to the result, not to the sources: a reference of a different shape comes back reshaped, so match it deliberately when the original framing has to survive. Keep resolution at 2k for anything with type; each reference image also adds to the quote.

Write the scene and quote the wording verbatim

Say first what must stay identical, then what changes; anything unmentioned is open to being redrawn. For text edits, quote both the old and the new string. negative_prompt takes up to 2,000 characters and is useful against leftover lettering and duplicated jewellery.

Adapt the included example

Start with the published example using aspect_ratio: 3:4, resolution: 2k. Replace the subject and creative direction while keeping the input contract for this mode intact.

Writing added onto a surface that is neither flat nor clean: fogged glass, where each stroke has to wipe the condensation away and show dark glass through it, with a little drip at the ends. The instruction fences the edit to the blank area left of the reflection and orders everything else to stay put. Supply your own plate — the URL is a placeholder.

Check the result before iterating

The prompt has to name which reference supplies what; with two or three sources the model does not infer roles on its own. Editing text in place works when you spell out both the old and the new wording. Identity drifts across heavy edits, so change one thing per pass rather than restyling and retyping in the same call.

API quick start

Call the Qwen Image 3.0 API in three steps

1. Create an API key. Sign in to PopNow and create a key in the API console. Keys start with sk-popnow- and use the same credits as the website.
2. Send the request. POST /jobs/createTask with model alibaba/qwen-image-3.0/edit and an input object that follows the parameter table. The response returns a task ID straight away.
3. Get the result. Poll GET /jobs/recordInfo with the task ID, or pass a callBackUrl and we post the result to it. Download the output links when the task succeeds.

# 1. Create the task. Keep the Idempotency-Key if you retry after a network error.
export IDEMPOTENCY_KEY="$(uuidgen)"
curl -X POST https://api.popnow.ai/api/v1/jobs/createTask \
  -H "Authorization: Bearer $POPNOW_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $IDEMPOTENCY_KEY" \
  -d '{
  "model": "alibaba/qwen-image-3.0/edit",
  "input": {
    "prompt": "A ceramic teapot on a linen cloth, soft window light, muted palette",
    "image_urls": [
      "https://media.popnow.ai/influencer/examples/marco.webp"
    ],
    "aspect_ratio": "1:1",
    "resolution": "2k",
    "num_outputs": 1
  }
}'

# 2. Copy data.taskId from the response, then poll until state is succeeded, failed, canceled or expired.
TASK_ID="TASK_ID_FROM_RESPONSE"
curl "https://api.popnow.ai/api/v1/jobs/recordInfo?taskId=$TASK_ID" \
  -H "Authorization: Bearer $POPNOW_API_KEY"

Replace the prompt and any links with your own. The API tab has the response, polling and callback reference.

Qwen Image 3.0 API questions

All Qwen Image models

Qwen Image 3.0 Pro raises the ceiling on multi-line typography and fine texture for the final frame.

• Qwen Image 2.1 Pro APIUp to six detailed 2K images from one promptFrom 6 credits per image
• Qwen Image 2.1 Turbo APIFast 8-step renders, up to six per promptFrom 3 credits per image
• Qwen Image 2.1 APIOpen model with 2K output and transparent backgroundsFrom 4 credits per image
• Qwen Image 2.1 LoRA APIQwen Image 2.1 images and edits with up to three of your LoRAsFrom 5 credits per image
• Qwen Image 3.0 Pro APIFine typography plus lifelike skin, fabric and glassFrom 6 credits per image
• Qwen Image 3.0 APIReadable signs and headlines rendered into the imageFrom 5 credits per image
• Qwen Image 2 APISimple prompt-to-image and one-photo editsFrom 6 credits per image
• Qwen Image 2512 LoRA APIQwen Image 2512 renders and edits with your own LoRAsFrom 5 credits per image
• Qwen Image Edit 2509 LoRA APIMulti-photo Qwen edits that load your own LoRAsFrom 5 credits per image
• Qwen Image 1.0 LoRA APIOriginal Qwen-Image with clean lettering and your own LoRAsFrom 5 credits per image

Other image APIs

• Nano Banana 2.1 APIGoogle's newest Nano Banana, sharp text and 4K outputFrom 8 credits per image
• Nano Banana Pro APIPlans the layout first: dense text, diagrams and 4K editsFrom 17 credits per image
• GPT Image 2.5 Sunburst APIOpenAI's quality-first model, up to 4K with clean textFrom 1 credit per image
• Seedream 5.0 Pro APIHigh-detail images and edits from up to ten referencesFrom 6 credits per image
• FLUX.2 Max APITop-tier FLUX: photoreal light and exact brand colorsFrom 11 credits per image

More about Qwen Image 3.0

Try it

Qwen Image 3.0 AI Image Generator onlineCreate images with Qwen Image 3.0 in PopNow

Docs

Qwen Image 3.0 model ID and input schema in the API docsPopNow API quickstart: your first request in five minutesImage generation guide for the PopNow APIWebhooks: get Qwen Image 3.0 results without polling