Qwen Image Edit 2511

Advanced image editing model from Alibaba. Qwen Image Edit 2511 delivers superior text editing capabilities, multi-image support, and precise visual modifications through natural language instructions. Supports style transfer, object editing, and creative compositions.

Pricing: $0.03/megapixel. Endpoint: POST /v1/models/alibaba/qwen-image-edit-2511/runs.

Advanced image editing model from Alibaba. Qwen Image Edit 2511 delivers superior text editing capabilities, multi-image support, and precise visual modifications through natural language instructions. Supports style transfer, object editing, and creative compositions.

Overview

• Endpoint: https://api.runflow.io/v1/models/alibaba/qwen-image-edit-2511/runs
• Model ID: alibaba/qwen-image-edit-2511
• Provider: Alibaba
• License: commercial
• Last Updated: 2026-04-08

Pricing

• Base price: $0.03/megapixel
• Note: Default price

Qwen Image Edit 2511 API

Endpoint: POST /v1/models/alibaba/qwen-image-edit-2511/runs

Run the model

Python

import requests

response = requests.post(
    "https://api.runflow.io/v1/models/alibaba/qwen-image-edit-2511/runs",
    headers={"Authorization": "Bearer RUNFLOW_API_KEY"},
    json={
        "input": {
            "prompt": "Move this person to a Mars colony habitat...",
            "image_urls": [
                "https://public.runflow.io/images/models/_shared/base-engineer.png"
            ]
        },
        "callback_url": "https://your-server.com/webhook"
    },
)

data = response.json()
print(data)

Node.js

const response = await fetch(
  "https://api.runflow.io/v1/models/alibaba/qwen-image-edit-2511/runs",
  {
    method: "POST",
    headers: {
      "Authorization": "Bearer RUNFLOW_API_KEY",
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
        "input": {
            "prompt": "Move this person to a Mars colony habitat...",
            "image_urls": [
                "https://public.runflow.io/images/models/_shared/base-engineer.png"
            ]
        },
        "callback_url": "https://your-server.com/webhook"
    }),
  }
);

const data = await response.json();
console.log(data);

cURL

curl -X POST https://api.runflow.io/v1/models/alibaba/qwen-image-edit-2511/runs \
  -H "Authorization: Bearer $RUNFLOW_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
    "input": {
        "prompt": "Move this person to a Mars colony habitat...",
        "image_urls": [
            "https://public.runflow.io/images/models/_shared/base-engineer.png"
        ]
    },
    "callback_url": "https://your-server.com/webhook"
}
JSON

Request parameters

Parameter	Type	Required	Description
input	object	required	Model input parameters. See “Input schema” below.
callback_url	string | null	optional	Webhook URL - POSTed when the run reaches a terminal state.
metadata	object | null	optional	Arbitrary key-value pairs attached to the run.

Input schema

Field	Type	Required	Allowed values	Description
prompt	string	required	Any	The prompt to edit the image with.
num_images	integer	optional	Any	The number of images to generate.
acceleration	string	optional	none, regular, high	The acceleration level to use.
image_size	string	optional	Any	The size of the generated image. If None, uses the input image dimensions.
enable_safety_checker	boolean	optional	Any	If set to true, the safety checker will be enabled.
output_format	string	optional	jpeg, png, webp	The format of the generated image.
sync_mode	boolean	optional	Any	If True, the media will be returned as a data URI.
guidance_scale	float	optional	Any	The guidance scale to use for the image generation.
seed	integer	optional	Any	The same seed and the same prompt given to the same version of the model will output the same image every time.
image_urls	image_list	required	Any	The URLs of the images to edit.
negative_prompt	string	optional	Any	The negative prompt to generate an image from.
num_inference_steps	integer	optional	Any	The number of inference steps to perform.

Output schema

Field	Type	Description
outputs	json	Unified output array - one entry per generated artifact with url/type/width/height/duration/etc.
seed	json	Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed.
model_data	json	Model-specific extra fields (prompt, description, actual_prompt, masks, etc.) keyed by field name.
nsfw_detected	json	true if the provider flagged output as NSFW, false if cleared, null if not checked.
timing	json	Provider timing info (inference_ms etc.), or null.

Callback payload

When you provide a callback_url, Runflow POSTs to it once the run reaches a terminal state.

Field	Type	Description
event	string	Event type: “run.completed”, “run.failed”, or “run.cancelled”.
run_id	string	The unique identifier of the run.
status	string	Terminal status: “succeeded”, “failed”, or “cancelled”.
output	object | null	The run output. Null if the run failed or was cancelled.
duration_ms	number | null	Total run duration in milliseconds.
created_at	string | null	ISO 8601 timestamp when the run was created.
completed_at	string | null	ISO 8601 timestamp when the run reached terminal state.
metadata	object | null	The metadata object passed at run creation, if any.

• Retries: 3 attempts with exponential backoff (1s, 2s). Retries on 5xx / network errors only.
• Headers: Runflow-Request-Id is always sent. Runflow-Signature is sent if a signing secret is configured.

Additional Resources

• Playground
• API Reference
• Documentation
• OpenAPI

Related

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Run lifecycle

Callbacks, polling, statuses.

Callbacks

Handle async results.

Pricing

How requests bill out.