---
title: Qwen-Image-Edit-2511 | Runware Docs
url: https://runware.ai/docs/models/alibaba-qwen-image-edit-2511
description: Advanced instruction-driven image editing model
---
# Qwen-Image-Edit-2511

![Qwen-Image-Edit-2511](https://assets.runware.ai/covers/alibaba-qwen-image-edit-2511.jpg)

Qwen-Image-Edit-2511 is an image editing model that applies text instructions to modify existing images with precise semantic and appearance control. It preserves visual consistency during edits, supports multi-person and character consistency, and integrates selected features and extensions that enhance object manipulation, geometric reasoning, and layout coherence.

- **Status**: live
- **ID**: `alibaba:qwen-image-edit@2511`
- Try in Playground
- **Creator**: Alibaba
- **Release Date**: November 25, 2025
- **Capabilities**: Image to Image, Edit, Checkpoint

## Pricing

$0.0122 per run · ~12s per request

**4 example generations**

- [reference-to-image](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511/examples#example-coastal-tidal-pool-night-visualization): `$0.0063` (~10s)
- [reference-to-image](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511/examples#example-handheld-marine-radio-colorway): `$0.00714` (~11s)
- [reference-to-image](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511/examples#example-cathedral-conservation-team-portrait): `$0.0098` (~14s)
- [reference-to-image](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511/examples#example-adaptive-rain-cape-virtual-try-on): `$0.0108` (~16s)

times vary, measured end to end · [How pricing works](https://runware.ai/docs/platform/pricing)

## Compatibility & Validation

`width` and `height` must be used together.

## Request Parameters

**API Options**

Platform-level options for task execution and delivery.

### [taskType](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-tasktype)

- **Type**: `string`
- **Required**: true
- **Value**: `imageInference`

Identifier for the type of task being performed

### [taskUUID](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-taskuuid)

- **Type**: `string`
- **Required**: true
- **Format**: `UUID v4`

UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.

### [outputType](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-outputtype)

- **Type**: `string`
- **Default**: `URL`

Image output type.

**Allowed values**: `URL` `base64Data` `dataURI`

### [outputFormat](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-outputformat)

- **Type**: `string`
- **Default**: `JPG`

Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.

- \`JPG\`: Best for photorealistic images with smaller file sizes (no transparency).
- \`PNG\`: Lossless compression, supports high quality and transparency (alpha channel).
- \`WEBP\`: Modern format providing superior compression and transparency support.

> [!NOTE]
> \*\*Transparency\*\*: If you are using features like background removal or LayerDiffuse that require transparency, you must select a format that supports an alpha channel (e.g., \`PNG\`, \`WEBP\`, \`TIFF\`). \`JPG\` does not support transparency.

**Allowed values**: `JPG` `PNG` `WEBP`

### [outputQuality](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-outputquality)

- **Type**: `integer`
- **Min**: `20`
- **Max**: `99`
- **Default**: `95`

Compression quality of the output. Higher values preserve quality but increase file size.

### [webhookURL](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-webhookurl)

- **Type**: `string`
- **Format**: `uri`

Specifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.

**Learn more** (1 resource):

- [Webhooks](https://runware.ai/docs/platform/webhooks) (platform)

### [deliveryMethod](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-deliverymethod)

- **Type**: `string`
- **Default**: `sync`

Determines how the API delivers task results.

**Allowed values**:

- `sync` Returns complete results directly in the API response.
- `async` Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.

**Learn more** (1 resource):

- [Task Polling](https://runware.ai/docs/platform/task-polling) (platform)

### [uploadEndpoint](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-uploadendpoint)

- **Type**: `string`
- **Format**: `uri`

Specifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.

**Common use cases:**

- **Cloud storage**: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
- **CDN integration**: Upload to content delivery networks for immediate distribution.

```text
// S3 presigned URL for secure upload
https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600

// Google Cloud Storage presigned URL
https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789

// Custom storage endpoint
https://storage.example.com/uploads/generated-image.jpg
```

The content data will be sent as the request body to the specified URL when generation is complete.

### [safety](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-safety)

- **Path**: `safety.checkContent`
- **Type**: `object (1 property)`

Content safety checking configuration for image generation.

#### [checkContent](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-safety-checkcontent)

- **Path**: `safety.checkContent`
- **Type**: `boolean`

Enable or disable content safety checking. Increases total generation time.

### [ttl](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-ttl)

- **Type**: `integer`
- **Min**: `60`

Time-to-live (TTL) in seconds for generated content. Only applies when `outputType` is `URL`.

### [includeCost](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-includecost)

- **Type**: `boolean`

Include task cost in the response.

### [numberResults](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-numberresults)

- **Type**: `integer`
- **Min**: `1`
- **Max**: `20`
- **Default**: `1`

Number of results to generate. Each result uses a different seed, producing variations of the same parameters.

### [acceleratorOptions](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions)

- **Path**: `acceleratorOptions.cacheEndStep`
- **Type**: `object (12 properties)`

Advanced caching mechanisms to speed up generation.

#### [cacheEndStep](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions-cacheendstep)

- **Path**: `acceleratorOptions.cacheEndStep`
- **Type**: `integer`
- **Min**: `1`

Absolute step number to end caching. Must be greater than `cacheStartStep` and less than or equal to `steps`.

#### [cacheEndStepPercentage](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions-cacheendsteppercentage)

- **Path**: `acceleratorOptions.cacheEndStepPercentage`
- **Type**: `integer`
- **Min**: `1`
- **Max**: `100`

Percentage of steps to end caching. Alternative to `cacheEndStep`. Must be greater than `cacheStartStepPercentage`.

#### [cacheMaxConsecutiveSteps](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions-cachemaxconsecutivesteps)

- **Path**: `acceleratorOptions.cacheMaxConsecutiveSteps`
- **Type**: `integer`
- **Min**: `1`
- **Max**: `5`
- **Default**: `3`

Limits the maximum number of consecutive steps that can use cached computations before forcing a fresh computation.

#### [cacheStartStep](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions-cachestartstep)

- **Path**: `acceleratorOptions.cacheStartStep`
- **Type**: `integer`
- **Min**: `0`

Absolute step number to start caching. Must be less than `cacheEndStep`.

#### [cacheStartStepPercentage](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions-cachestartsteppercentage)

- **Path**: `acceleratorOptions.cacheStartStepPercentage`
- **Type**: `integer`
- **Min**: `0`
- **Max**: `99`

Percentage of steps to start caching. Alternative to `cacheStartStep`. Must be less than `cacheEndStepPercentage`.

#### [fbCache](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions-fbcache)

- **Path**: `acceleratorOptions.fbCache`
- **Type**: `boolean`

First Block Cache (FBCache) acceleration. Reuses feature block computations across steps.

#### [fbCacheThreshold](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions-fbcachethreshold)

- **Path**: `acceleratorOptions.fbCacheThreshold`
- **Type**: `float`
- **Min**: `0`
- **Max**: `1`
- **Step**: `0.01`
- **Default**: `0.25`

Controls the sensitivity threshold for determining when to reuse cached computations. Lower values reuse more aggressively.

#### [teaCache](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions-teacache)

- **Path**: `acceleratorOptions.teaCache`
- **Type**: `boolean`

TeaCache acceleration for transformer-based models. Estimates step differences to skip redundant computations.

#### [teaCacheDistance](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions-teacachedistance)

- **Path**: `acceleratorOptions.teaCacheDistance`
- **Type**: `float`
- **Min**: `0`
- **Max**: `1`
- **Step**: `0.01`
- **Default**: `0.5`

Controls the aggressiveness of the TeaCache feature. Lower values prioritize quality, higher values prioritize speed.

#### [dbCache](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions-dbcache)

- **Path**: `acceleratorOptions.dbCache`
- **Type**: `boolean`

DB Cache (CacheDiT) acceleration. Caches and reuses intermediate transformer block outputs to skip redundant computations.

#### [dbCacheThreshold](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions-dbcachethreshold)

- **Path**: `acceleratorOptions.dbCacheThreshold`
- **Type**: `float`
- **Min**: `0`
- **Max**: `1`
- **Step**: `0.01`
- **Default**: `0.25`

Controls the sensitivity threshold for DB Cache. Lower values reuse cached blocks more aggressively, higher values prioritize quality.

#### [dbCacheSkipInterval](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-acceleratoroptions-dbcacheskipinterval)

- **Path**: `acceleratorOptions.dbCacheSkipInterval`
- **Type**: `integer`
- **Min**: `1`
- **Default**: `5`

Controls how many steps to skip between cache refreshes. Higher values skip more steps for faster generation at the cost of quality.

**Inputs**

Input resources for the task (images, audio, etc). These must be nested inside the \`inputs\` object.

### [referenceImages](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-inputs-referenceimages)

- **Path**: `inputs.referenceImages`
- **Type**: `array of strings`
- **Required**: true
- **Min items**: `1`
- **Max items**: `3`

List of reference images (UUID, URL, Data URI, or Base64).

**Core Parameters**

Primary parameters that define the task output.

### [model](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-model)

- **Type**: `string`
- **Required**: true
- **Value**: `alibaba:qwen-image-edit@2511`

Identifier of the model to use for generation.

**Learn more** (3 resources):

- [Text To Image: Model Selection](https://runware.ai/docs/learn/text-to-image#model-selection) (learn)
- [Image Inpainting: Model Specialized Inpainting Models](https://runware.ai/docs/learn/image-inpainting#model-specialized-inpainting-models) (learn)
- [Image Outpainting: Other Critical Parameters](https://runware.ai/docs/learn/image-outpainting#other-critical-parameters) (learn)

### [positivePrompt](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-positiveprompt)

- **Type**: `string`
- **Required**: true
- **Min**: `1`
- **Max**: `32000`

Text prompt describing elements to include in the generated output.

**Learn more** (1 resource):

- [Prompts](https://runware.ai/docs/learn/prompts) (learn)

### [negativePrompt](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-negativeprompt)

- **Type**: `string`
- **Min**: `1`
- **Max**: `32000`

Prompt to guide what to exclude from generation. Ignored when guidance is disabled (CFGScale ≤ 1).

**Learn more** (1 resource):

- [Prompts: Negative Prompts](https://runware.ai/docs/learn/prompts#negative-prompts) (learn)

### [width](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-width)

- **Type**: `integer`
- **Min**: `512`
- **Max**: `2048`

Width of the generated media in pixels.

**Learn more** (2 resources):

- [Dimensions](https://runware.ai/docs/learn/dimensions) (learn)
- [Image Outpainting: Dimensions Critical For Outpainting](https://runware.ai/docs/learn/image-outpainting#dimensions-critical-for-outpainting) (learn)

### [height](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-height)

- **Type**: `integer`
- **Min**: `512`
- **Max**: `2048`

Height of the generated media in pixels.

**Learn more** (2 resources):

- [Dimensions](https://runware.ai/docs/learn/dimensions) (learn)
- [Image Outpainting: Dimensions Critical For Outpainting](https://runware.ai/docs/learn/image-outpainting#dimensions-critical-for-outpainting) (learn)

### [seed](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-seed)

- **Type**: `integer`
- **Min**: `0`
- **Max**: `9223372036854776000`

Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.

**Learn more** (1 resource):

- [Seed](https://runware.ai/docs/learn/seed) (learn)

### [steps](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-steps)

- **Type**: `integer`
- **Min**: `5`
- **Max**: `50`
- **Default**: `30`

Total number of denoising steps. Higher values generally produce more detailed results but take longer.

**Learn more** (1 resource):

- [Steps](https://runware.ai/docs/learn/steps) (learn)

### [scheduler](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-scheduler)

- **Type**: `string`

Scheduler to use for the diffusion process.

**Allowed values**: `DDIM` `DDIMScheduler` `DDPMScheduler` `DEISMultistepScheduler` `Default` `DPM++` `DPM++ 2M` `DPM++ 2M Beta` `DPM++ 2M Exponential` `DPM++ 2M Karras` `DPM++ 2M SDE` `DPM++ 2M SDE Beta` `DPM++ 2M SDE Exponential` `DPM++ 2M SDE Karras` `DPM++ 2M SDE Uniform` `DPM++ 2M Uniform` `DPM++ 3M` `DPM++ 3M Beta` `DPM++ 3M Exponential` `DPM++ 3M Karras` `DPM++ 3M SDE Uniform` `DPM++ 3M Uniform` `DPM++ Beta` `DPM++ Exponential` `DPM++ Karras` `DPM++ SDE` `DPM++ SDE Beta` `DPM++ SDE Exponential` `DPM++ SDE Karras` `DPM++ Uniform` `DPM++ Uniform Beta` `DPM++ Uniform Exponential` `DPM++ Uniform Karras` `DPMSolverMultistepInverse` `DPMSolverMultistepScheduler` `DPMSolverSinglestepScheduler` `EDMDPMSolverMultistepScheduler` `EDMEulerScheduler` `Euler` `Euler a` `Euler Beta` `Euler Exponential` `Euler Karras` `EulerAncestralDiscreteScheduler` `EulerDiscreteScheduler` `FlowMatchEulerDiscreteScheduler` `Heun` `HeunDiscreteScheduler` `Heun Karras` `IPNDMScheduler` `IPNDM Uniform` `IPNDM Uniform Beta` `IPNDM Uniform Exponential` `IPNDM Uniform Karras` `KDPM2AncestralDiscreteScheduler` `KDPM2DiscreteScheduler` `LCM` `LCMScheduler` `LMS` `LMSDiscreteScheduler` `LMS Karras` `PNDMScheduler` `TCDScheduler` `UniPC` `UniPC 2M` `UniPC 2M Karras` `UniPC 2M Uniform` `UniPC 3M` `UniPC 3M Karras` `UniPC 3M Uniform` `UniPC Karras` `UniPC Uniform` `UniPC Uniform Beta` `UniPC Uniform Exponential` `UniPC Uniform Karras`

**Learn more** (2 resources):

- [Schedulers](https://runware.ai/docs/learn/schedulers) (learn)
- [Image Outpainting: Other Critical Parameters](https://runware.ai/docs/learn/image-outpainting#other-critical-parameters) (learn)

### [CFGScale](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-cfgscale)

- **Type**: `float`
- **Min**: `1`
- **Max**: `20`
- **Step**: `0.01`

Guidance scale representing how closely the output will resemble the prompt. Higher values produce results more aligned with the prompt.

**Learn more** (1 resource):

- [Cfg Scale](https://runware.ai/docs/learn/cfg-scale) (learn)

### [lora](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-lora)

- **Path**: `lora.model`
- **Type**: `array of objects (2 properties)`
- **Min items**: `1`

With LoRA (Low-Rank Adaptation), you can adapt a model to specific styles or features by emphasizing particular aspects of the data. This technique enhances the quality and relevance of generated content and can be especially useful when the output needs to adhere to a specific artistic style or follow particular guidelines.

Multiple LoRA models can be used simultaneously to achieve different adaptation goals.

**Examples**:

```json
"lora": [
  {
    "model": "<lora-model-air>",
    "weight": 0.8
  }
]
```

**Learn more** (1 resource):

- [Loras](https://runware.ai/docs/learn/loras) (learn)

#### [model](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-lora-model)

- **Path**: `lora.model`
- **Type**: `string`
- **Required**: true

LoRA model identifier.

#### [weight](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-lora-weight)

- **Path**: `lora.weight`
- **Type**: `float`
- **Min**: `-4`
- **Max**: `4`
- **Step**: `0.01`
- **Default**: `1`

Strength of the LoRA influence. A value of 0 means no influence. Higher values increase the influence, and negative values can be used to steer away from the LoRA's style.

**Settings**

Technical parameters to fine-tune the inference process. These must be nested inside the \`settings\` object.

### [trueCFGScale](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-settings-truecfgscale)

- **Path**: `settings.trueCFGScale`
- **Type**: `float`

True Classifier-Free Guidance scale. Higher values increase prompt adherence at the cost of quality.

**Features**

Standalone addons and post-processing features.

### [ultralytics](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-ultralytics)

- **Path**: `ultralytics.CFGScale`
- **Type**: `object (9 properties)`

Configuration object for Ultralytics face enhancement during generation. This feature uses face detection and inpainting to improve facial details in the same generation step, without requiring post-processing.

> [!NOTE]
> Face enhancement is available for Stable Diffusion 1.X, SDXL, and FLUX models. The system automatically detects faces and applies targeted refinement to improve quality while maintaining consistency with the overall generation.

#### [CFGScale](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-ultralytics-cfgscale)

- **Path**: `ultralytics.CFGScale`
- **Type**: `float`
- **Min**: `0`
- **Max**: `50`
- **Step**: `0.1`
- **Default**: `8`

Face refinement guidance scale.

#### [confidence](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-ultralytics-confidence)

- **Path**: `ultralytics.confidence`
- **Type**: `float`
- **Min**: `0`
- **Max**: `1`
- **Step**: `0.01`
- **Default**: `0.9`

Confidence threshold for detection.

#### [inpaintSize](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-ultralytics-inpaintsize)

- **Path**: `ultralytics.inpaintSize`
- **Type**: `integer`
- **Min**: `128`
- **Max**: `2048`
- **Default**: `1024`

Image size (in pixels) to use for each inpainting region. YOLO detects faces, crops the region, and scales it to this size before running diffusion. Set so most faces land in the 2–4× range of their original pixel size. Going beyond 8× may degrade identity resemblance.

#### [maskBlur](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-ultralytics-maskblur)

- **Path**: `ultralytics.maskBlur`
- **Type**: `integer`
- **Min**: `0`
- **Max**: `100`
- **Default**: `5`

Mask feathering amount. Higher values create softer transitions between the enhanced face region and surrounding areas.

#### [maskPadding](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-ultralytics-maskpadding)

- **Path**: `ultralytics.maskPadding`
- **Type**: `integer`
- **Min**: `0`
- **Max**: `20`
- **Default**: `5`

Padding around detected face in pixels. Expands the refinement area to include surrounding context like hair and neck.

#### [negativePrompt](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-ultralytics-negativeprompt)

- **Path**: `ultralytics.negativePrompt`
- **Type**: `string`

Negative prompt for detection.

#### [positivePrompt](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-ultralytics-positiveprompt)

- **Path**: `ultralytics.positivePrompt`
- **Type**: `string`

Positive prompt for detection.

#### [steps](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-ultralytics-steps)

- **Path**: `ultralytics.steps`
- **Type**: `integer`
- **Min**: `1`
- **Max**: `100`
- **Default**: `20`

Number of face refinement steps.

#### [strength](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-ultralytics-strength)

- **Path**: `ultralytics.strength`
- **Type**: `float`
- **Max**: `1`
- **Step**: `0.01`
- **Default**: `0.3`

Refinement strength. Lower values preserve more of the original, higher values allow more aggressive reconstruction.

### [watermark](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-advancedfeatures-watermark)

- **Path**: `advancedFeatures.watermark`
- **Type**: `object (6 properties)`

Configuration object for adding watermarks to generated videos. Watermarks can be applied using either text or image content with customizable positioning and appearance. You must provide either `text` or `image` content for the watermark, but not both.

**Text watermark**:

```json
"advancedFeatures": {
  "watermark": {
    "text": "© 2025 Company",
    "displayPosition": "bottom-right",
    "opacity": 0.6,
    "fontColor": "#ffffff",
    "bgColor": "#000000"
  }
}
```

**Image watermark**:

```json
"advancedFeatures": {
  "watermark": {
    "image": "c64351d5-4c59-42f7-95e1-eace013eddab",
    "displayPosition": "top-left",
    "opacity": 0.6
  }
}
```

**Tiled watermark**:

```json
"advancedFeatures": {
  "watermark": {
    "text": "PREVIEW",
    "tiled": true,
    "opacity": 0.4,
    "fontColor": "#cccccc"
  }
}
```

#### [text](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-advancedfeatures-watermark-text)

- **Path**: `advancedFeatures.watermark.text`
- **Type**: `string`
- **Min**: `2`
- **Max**: `32`

Watermark text.

#### [image](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-advancedfeatures-watermark-image)

- **Path**: `advancedFeatures.watermark.image`
- **Type**: `string`

Watermark image (UUID, URL, Data URI, or Base64).

#### [displayPosition](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-advancedfeatures-watermark-displayposition)

- **Path**: `advancedFeatures.watermark.displayPosition`
- **Type**: `string`

Watermark position.

**Allowed values**: `top-left` `top-center` `top-right` `center-left` `center-center` `center-right` `bottom-left` `bottom-center` `bottom-right` `tiled`

#### [opacity](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-advancedfeatures-watermark-opacity)

- **Path**: `advancedFeatures.watermark.opacity`
- **Type**: `float`
- **Min**: `0.1`
- **Max**: `1`
- **Step**: `0.01`

Watermark opacity.

#### [fontColor](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-advancedfeatures-watermark-fontcolor)

- **Path**: `advancedFeatures.watermark.fontColor`
- **Type**: `string`

Text color in hex format.

#### [bgColor](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#request-advancedfeatures-watermark-bgcolor)

- **Path**: `advancedFeatures.watermark.bgColor`
- **Type**: `string`

Background color in hex format.

## Response Parameters

### [taskType](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#response-tasktype)

- **Type**: `string`
- **Required**: true
- **Value**: `imageInference`

Identifier for the type of task this response belongs to.

### [taskUUID](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#response-taskuuid)

- **Type**: `string`
- **Required**: true
- **Format**: `UUID v4`

UUID v4 identifier echoed from the original request, used to match async responses to their tasks.

### [imageUUID](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#response-imageuuid)

- **Type**: `string`
- **Required**: true
- **Format**: `UUID v4`

UUID of the output image.

### [imageURL](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#response-imageurl)

- **Type**: `string`
- **Format**: `uri`

URL of the output image.

### [imageBase64Data](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#response-imagebase64data)

- **Type**: `string`

Base64-encoded image data.

### [imageDataURI](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#response-imagedatauri)

- **Type**: `string`
- **Format**: `uri`

Data URI of the output image.

### [seed](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#response-seed)

- **Type**: `integer`

The seed used for generation. If none was provided, shows the randomly generated seed.

### [NSFWContent](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#response-nsfwcontent)

- **Type**: `boolean`

Flag indicating if NSFW content was detected.

### [cost](https://runware.ai/docs/models/alibaba-qwen-image-edit-2511#response-cost)

- **Type**: `float`

Task cost in USD. Present when `includeCost` is set to `true` in the request.

## Examples

### reference-to-image (reference-to-image)

![Cathedral Conservation Team Portrait](https://assets.runware.ai/examples/alibaba-qwen-image-edit-2511/5ada6b9b-87ad-4eb2-a39b-6c18285f16b5.jpg)

```json
{
  "taskType": "imageInference",
  "taskUUID": "b72bf544-5645-4858-b983-fe8a1fb6140b",
  "model": "alibaba:qwen-image-edit@2511",
  "positivePrompt": "Edit the first reference image into a finished official team portrait by adding the woman from the second reference image into the open person-sized gap near the center-right of the conservation group. Reproduce her identity faithfully, including her facial features, short silver natural hair, age, skin tone, sturdy proportions, navy coveralls, safety boots, tool belt, and safety glasses. Show her standing at full length on the same stone floor, facing the camera with a calm, proud expression and a relaxed posture that matches the other craftspeople. Integrate her naturally into the existing row with believable spacing, scale, perspective, foot placement, slight overlap, contact shadows, ambient bounce light, depth of field, grain, and clerestory daylight. Make subtle pose adjustments only as needed so she belongs convincingly with the team. Preserve every existing person exactly as photographed, including their identities, faces, expressions, poses, clothing, hands, and positions. Preserve the original square composition, cathedral architecture, carved limestone, scaffolding, tools, dust sheets, lighting, muted sandstone-charcoal-cobalt palette, and dignified documentary art direction. Do not remove, replace, duplicate, or significantly alter any existing team member. The result should look like one authentic large-format photograph captured at the same moment, not a collage or obvious composite. No captions, logos, borders, or added text.",
  "width": 1024,
  "height": 1024,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/2175fbc7-9b40-4cde-bbd8-ddd281ddb614.jpg",
      "https://assets.runware.ai/assets/inputs/f9f8ae40-5b90-4356-b972-cef9fc455d6a.jpg"
    ]
  }
}
```

---

### reference-to-image (reference-to-image)

![Handheld Marine Radio Colorway](https://assets.runware.ai/examples/alibaba-qwen-image-edit-2511/17abad6d-129a-4a41-94f0-293a89b553f9.jpg)

```json
{
  "taskType": "imageInference",
  "taskUUID": "7a53a679-a229-4f64-bbe6-c1d7c7d6d899",
  "model": "alibaba:qwen-image-edit@2511",
  "positivePrompt": "Create a production-ready product colorway edit from the reference image. Recolor only the vivid safety-orange rigid outer casing panels of the handheld marine radio to a sophisticated muted sea-glass mint green with a fine satin polymer finish. Apply the new color evenly and realistically across every originally orange casing surface, including narrow edges visible in perspective, while retaining natural highlights, molded contours, seams, surface texture, and contact shadows. Preserve the radio's exact shape, dimensions, three-quarter angle, placement, scale, and composition. Do not alter the charcoal-black rubber grips, antenna, rotary knobs, inactive dark screen, speaker grille, buttons, yellow emergency key, stainless contacts, molded icons, or any other functional detail. Keep the original pale warm-gray seamless background, soft grounding shadow, clean studio lighting, sharp focus, and premium technical ecommerce photography. The result should look like an authentic manufacturer-approved sea-glass colorway photograph of the same physical product, not a redesign.",
  "width": 1024,
  "height": 1024,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/57781ce5-05f3-447e-8733-85e577c6be68.jpg"
    ]
  }
}
```

---

### reference-to-image (reference-to-image)

![Coastal Tidal Pool Night Visualization](https://assets.runware.ai/examples/alibaba-qwen-image-edit-2511/e8e698d3-4d88-4cb8-8b0f-254d3f2deb64.jpg)

```json
{
  "taskType": "imageInference",
  "taskUUID": "1df1c7e6-8674-4bed-ad88-ff847e0d3093",
  "model": "alibaba:qwen-image-edit@2511",
  "positivePrompt": "Edit the supplied architectural photograph into a photorealistic winter blue-hour lighting visualization for a municipal public-realm review. Preserve the exact camera position, square composition, ocean-pool geometry, pavilion architecture, railings, steps, rock formations, horizon, material weathering and all other physical details. Change only the time of day, atmosphere and illumination: replace the flat overcast daylight with a clear deep-cobalt twilight sky just after sunset, retaining subtle low clouds near the horizon. Relight the scene naturally with cool ambient dusk from the sky, restrained warm amber light from the pavilion windows and existing low path fixtures, and soft turquoise illumination within the pool from existing underwater lights. Let the warm fixtures create realistic pools of light and elongated reflections across the damp concrete without making the site look theatrical. Add delicate specular highlights to handrails, believable reflections in the calm water and faint white surf on the distant dark rocks. Maintain readable shadow detail and a professional architectural-photography finish with controlled dynamic range, neutral materials and accurate light falloff. Quiet, safe, contemplative coastal atmosphere; deep teal, cobalt and muted amber palette. Do not add people, furniture, signs, text, logos, new buildings, new light poles or fantasy elements.",
  "width": 1024,
  "height": 1024,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/b05d3c2f-00d4-4d75-be57-5f5315eef324.jpg"
    ]
  }
}
```

---

### reference-to-image (reference-to-image)

![Adaptive Rain Cape Virtual Try-On](https://assets.runware.ai/examples/alibaba-qwen-image-edit-2511/3beb591a-64cd-4d5a-9358-5dbf76065b66.jpg)

```json
{
  "taskType": "imageInference",
  "taskUUID": "6ab27ce5-2bbc-41c2-be07-4f2123341c56",
  "model": "alibaba:qwen-image-edit@2511",
  "positivePrompt": "Create a polished square ecommerce lifestyle photograph using reference image 1 as the primary composition and person, and reference image 2 as the exact garment reference. Dress the woman in reference image 1 in the mustard-yellow adaptive wheelchair rain cape from reference image 2. Preserve her identity, facial features, skin tone, short curly hair, expression, body proportions, seated pose, hand positions, and wheelchair exactly. Preserve the wheelchair frame, wheels, push rims, cushion, footrest geometry, and perspective without redesigning or obscuring them unnecessarily.\n\nFit the cape convincingly to her seated body and wheelchair posture. Reproduce the garment's mustard color, matte waterproof texture, hood, high collar, asymmetric front zipper, reflective piping, wrist loops, side openings, roomy lap panel, and extended front hem. The fabric should drape naturally over her shoulders, arms, torso, and knees, with believable folds and tension around the elbows and lap. Keep her hands visible and anatomically correct, passing naturally through the intended openings. Do not turn the cape into a standard poncho, coat, blanket, or dress.\n\nRetain the modern library plaza and original camera angle from reference image 1. Enhance the atmosphere into a refined rainy-day mobility campaign: cool cyan-gray overcast light, wet paving with restrained reflections, a few fine raindrops visible against the darker background, and subtle warm light through distant library windows. The mustard cape should provide a bold but realistic color contrast. Natural photographic detail, premium editorial accessibility campaign, authentic skin texture, accurate wheelchair mechanics, restrained color grading, sharp subject with gently softened architectural background. No text, logos, labels, signage, borders, collage layout, or interface elements.",
  "negativePrompt": "Altered identity, different person, changed hairstyle, standing pose, distorted wheelchair, missing wheels, extra wheels, malformed hands, hidden hands, extra fingers, duplicated limbs, floating fabric, impossible garment openings, generic poncho, glossy plastic fabric, invented logos, text, watermark, product cutout, split screen, collage, excessive rain, dramatic fantasy lighting, cartoon, illustration, app interface",
  "width": 1024,
  "height": 1024,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/9c741d5f-9df5-4ab7-8c9d-26093e20a9cb.jpg",
      "https://assets.runware.ai/assets/inputs/fa2fa085-f1a8-45a0-bb3a-6b2ec977fc8e.jpg"
    ]
  }
}
```