Alibaba Qwen Image 3.0 Pro Edit API Documentation

Alibaba Qwen Image 3.0 Pro Edit API Documentation

Playground

Qwen Image 3.0 Pro Edit is a professional-grade image editing model that transforms existing images with natural-language instructions, delivering advanced instruction understanding, superior visual quality, and up to 2K output for creative and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Qwen Image 3.0 Pro Edit is a high-quality image editing model for transforming existing images with natural-language instructions. Upload 1 to 3 reference images, describe the edit you want, and generate a refined output while preserving the requested visual context.

Why Choose This?

• Pro-level image editing
  Transform existing images with high-quality visual refinement.

• Instruction-based editing
  Describe the desired change using natural-language instructions.

• Multi-image input
  Upload 1 to 3 reference images for editing, context, or visual guidance.

• Chinese and English support
  Write edit instructions in Chinese or English.

• Flexible output sizing
  Choose 1k or 2k resolution and optionally set the output aspect ratio.

• Seed control
  Use a fixed seed for reproducible results, or -1 for random generation.

Parameters

How to Use

1. Upload input images — Provide 1 to 3 images for editing or reference guidance.
2. Write your edit prompt — Describe the change you want and what should remain unchanged.
3. Choose resolution optional — Use 1k for standard output or 2k when higher detail is needed.
4. Choose aspect ratio optional — Set a specific aspect ratio or leave it empty to follow the first input image ratio.
5. Set prompt expansion optional — Keep prompt expansion enabled for richer interpretation, or disable it for stricter prompt control.
6. Set seed optional — Use a fixed seed when you need reproducible results.
7. Submit — Generate the edited image and retrieve the output URL.

Pricing

Input images cost $0.003 each. The output costs $0.04 at 1k or $0.075 at 2k.

Example Costs

Best Use Cases

• Photo retouching — Adjust appearance, lighting, background, or composition.
• Creative image edits — Change style, mood, objects, clothing, or environment.
• Product image refinement — Improve product visuals for ecommerce, marketing, and campaigns.
• Character and portrait edits — Preserve identity while changing details or visual style.
• Reference-guided editing — Use multiple images to guide the final edited result.
• Production image workflows — Generate polished edited images for marketing, design, and creative projects.

Pro Tips

• Use clear edit prompts that describe both what should change and what should stay the same.
• Upload only the images needed for the edit.
• Use multiple input images when reference context matters.
• Leave aspect_ratio empty when you want the first input image ratio to guide the output.
• Keep enable_prompt_expansion enabled for richer interpretation.
• Disable prompt expansion when you need stricter control over the exact prompt.
• Use a fixed seed when comparing edit variations.
• Use 2k when final image detail matters.

Related Models

• Qwen Image 3.0 Pro Text-to-Image — Generate high-quality images from text prompts.
• Qwen Image 3.0 Pro Edit — Edit images with natural-language instructions.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "images": [
    "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
  ],
  "aspect_ratio": "1:1",
  "resolution": "1k",
  "enable_prompt_expansion": true,
  "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/alibaba/qwen-image-3.0-pro/edit" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters