---
title: Z-Image | Runware Docs
url: https://runware.ai/docs/models/alibaba-z-image
description: Efficient high-quality image generation foundation model
---
# Z-Image

Z-Image is a powerful open-source image generation model with 6 billion parameters built on a scalable single-stream diffusion transformer architecture. It delivers high visual fidelity, strong prompt adherence, and diverse stylistic output for text-to-image and image-to-image tasks, and serves as the full-capacity foundation for distilled variants like Z-Image-Turbo.

- **ID**: `runware:z-image@0`
- **Status**: live
- **Creator**: Alibaba
- **Release Date**: January 26, 2026
- **Capabilities**: Text to Image, Image to Image

## Pricing

- **1024x1024**: `$0.0045`

## Compatibility & Validation

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

---

`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-z-image#request-tasktype)

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

Identifier for the type of task being performed

### [taskUUID](https://runware.ai/docs/models/alibaba-z-image#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-z-image#request-outputtype)

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

Image output type.

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

### [outputFormat](https://runware.ai/docs/models/alibaba-z-image#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-z-image#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-z-image#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-z-image#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-z-image#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-z-image#request-safety)

- **Path**: `safety.checkContent`
- **Type**: `object (2 properties)`

Content safety checking configuration for image generation.

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

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

Enable or disable content safety checking. When enabled, defaults to `fast` mode.

#### [mode](https://runware.ai/docs/models/alibaba-z-image#request-safety-mode)

- **Path**: `safety.mode`
- **Type**: `string`
- **Default**: `none`

Safety checking mode for image generation.

**Allowed values**:

- `none` Disables checking.
- `fast` Performs a single check.

### [ttl](https://runware.ai/docs/models/alibaba-z-image#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-z-image#request-includecost)

- **Type**: `boolean`
- **Default**: `false`

Include task cost in the response.

### [numberResults](https://runware.ai/docs/models/alibaba-z-image#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-z-image#request-acceleratoroptions)

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

Advanced caching mechanisms to speed up generation.

#### [cacheEndStep](https://runware.ai/docs/models/alibaba-z-image#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-z-image#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-z-image#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-z-image#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-z-image#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-z-image#request-acceleratoroptions-fbcache)

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

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

#### [fbCacheThreshold](https://runware.ai/docs/models/alibaba-z-image#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-z-image#request-acceleratoroptions-teacache)

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

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

#### [teaCacheDistance](https://runware.ai/docs/models/alibaba-z-image#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-z-image#request-acceleratoroptions-dbcache)

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

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

#### [dbCacheThreshold](https://runware.ai/docs/models/alibaba-z-image#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-z-image#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.

### [seedImage](https://runware.ai/docs/models/alibaba-z-image#request-inputs-seedimage)

- **Path**: `inputs.seedImage`
- **Type**: `string`

Image used as a starting point for the generation (UUID, URL, Data URI, or Base64).

**Learn more** (3 resources):

- [Image To Image: Seed Image The Foundation](https://runware.ai/docs/guides/image-to-image#seed-image-the-foundation) (guide)
- [Image Inpainting: Seed And Mask Image The Foundation](https://runware.ai/docs/guides/image-inpainting#seed-and-mask-image-the-foundation) (guide)
- [Image Outpainting: Seed Image The Starting Point](https://runware.ai/docs/guides/image-outpainting#seed-image-the-starting-point) (guide)

### [maskImage](https://runware.ai/docs/models/alibaba-z-image#request-inputs-maskimage)

- **Path**: `inputs.maskImage`
- **Type**: `string`

Image used to specify which areas of the seed image should be edited (UUID, URL, Data URI, or Base64).

**Learn more** (1 resource):

- [Image Inpainting: Seed And Mask Image The Foundation](https://runware.ai/docs/guides/image-inpainting#seed-and-mask-image-the-foundation) (guide)

**Generation Parameters**

Core parameters for controlling the generated content.

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

- **Type**: `string`
- **Required**: true
- **Value**: `runware:z-image@0`

Identifier of the model to use for generation.

**Learn more** (3 resources):

- [Text To Image: Model Selection The Foundation Of Generation](https://runware.ai/docs/guides/text-to-image#model-selection-the-foundation-of-generation) (guide)
- [Image Inpainting: Model Specialized Inpainting Models](https://runware.ai/docs/guides/image-inpainting#model-specialized-inpainting-models) (guide)
- [Image Outpainting: Other Critical Parameters](https://runware.ai/docs/guides/image-outpainting#other-critical-parameters) (guide)

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

- **Type**: `string`
- **Required**: true
- **Min**: `2`
- **Max**: `3000`

Text prompt describing elements to include in the generated output.

**Learn more** (2 resources):

- [Text To Image: Prompts Guiding The Generation](https://runware.ai/docs/guides/text-to-image#prompts-guiding-the-generation) (guide)
- [Image Outpainting: Other Critical Parameters](https://runware.ai/docs/guides/image-outpainting#other-critical-parameters) (guide)

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

- **Type**: `string`
- **Min**: `2`
- **Max**: `3000`

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

**Learn more** (1 resource):

- [Text To Image: Prompts Guiding The Generation](https://runware.ai/docs/guides/text-to-image#prompts-guiding-the-generation) (guide)

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

- **Type**: `integer`
- **Min**: `128`
- **Max**: `2048`
- **Step**: `16`

Width of the generated media in pixels.

**Learn more** (2 resources):

- [Image To Image: Dimensions Changing Aspect Ratio](https://runware.ai/docs/guides/image-to-image#dimensions-changing-aspect-ratio) (guide)
- [Image Outpainting: Dimensions Critical For Outpainting](https://runware.ai/docs/guides/image-outpainting#dimensions-critical-for-outpainting) (guide)

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

- **Type**: `integer`
- **Min**: `128`
- **Max**: `2048`
- **Step**: `16`

Height of the generated media in pixels.

**Learn more** (2 resources):

- [Image To Image: Dimensions Changing Aspect Ratio](https://runware.ai/docs/guides/image-to-image#dimensions-changing-aspect-ratio) (guide)
- [Image Outpainting: Dimensions Critical For Outpainting](https://runware.ai/docs/guides/image-outpainting#dimensions-critical-for-outpainting) (guide)

### [seed](https://runware.ai/docs/models/alibaba-z-image#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):

- [Text To Image: Seed Controlling Randomness Deterministically](https://runware.ai/docs/guides/text-to-image#seed-controlling-randomness-deterministically) (guide)

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

- **Type**: `integer`
- **Min**: `1`
- **Max**: `50`

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

**Learn more** (1 resource):

- [Text To Image: Steps Trading Quality For Speed](https://runware.ai/docs/guides/text-to-image#steps-trading-quality-for-speed) (guide)

### [scheduler](https://runware.ai/docs/models/alibaba-z-image#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 DiscreteScheduler` `Euler Exponential` `Euler Karras` `EulerAncestralDiscreteScheduler` `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):

- [Text To Image: Scheduler The Algorithmic Path To Your Image](https://runware.ai/docs/guides/text-to-image#scheduler-the-algorithmic-path-to-your-image) (guide)
- [Image Outpainting: Other Critical Parameters](https://runware.ai/docs/guides/image-outpainting#other-critical-parameters) (guide)

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

- **Type**: `float`
- **Min**: `0`
- **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):

- [Text To Image: Cfg Scale Balancing Creativity And Control](https://runware.ai/docs/guides/text-to-image#cfg-scale-balancing-creativity-and-control) (guide)

### [strength](https://runware.ai/docs/models/alibaba-z-image#request-strength)

- **Type**: `float`
- **Min**: `0`
- **Max**: `1`
- **Step**: `0.01`
- **Default**: `0.8`

Strength of the transformation. Lower values result in more influence from the original input.

**Learn more** (3 resources):

- [Image To Image: Strength The Transformation Intensity](https://runware.ai/docs/guides/image-to-image#strength-the-transformation-intensity) (guide)
- [Image Inpainting: Strength Controlling Transformation Intensity](https://runware.ai/docs/guides/image-inpainting#strength-controlling-transformation-intensity) (guide)
- [Image Outpainting: Strength Understanding The Critical Threshold](https://runware.ai/docs/guides/image-outpainting#strength-understanding-the-critical-threshold) (guide)

### [maskMargin](https://runware.ai/docs/models/alibaba-z-image#request-maskmargin)

- **Type**: `integer`
- **Min**: `32`
- **Max**: `128`

Extra context pixels around the masked region during inpainting. The model zooms into the masked area with these additional pixels for better integration.

**Learn more** (1 resource):

- [Image Inpainting: Mask Margin Enhancing Detail](https://runware.ai/docs/guides/image-inpainting#mask-margin-enhancing-detail) (guide)

### [outpaint](https://runware.ai/docs/models/alibaba-z-image#request-outpaint)

- **Path**: `outpaint.bottom`
- **Type**: `object (4 properties)`

Extends image boundaries in specified directions. Final width/height must account for original image plus extensions.

**Learn more** (1 resource):

- [Image Outpainting: Outpaint Defining The Expansion](https://runware.ai/docs/guides/image-outpainting#outpaint-defining-the-expansion) (guide)

#### [bottom](https://runware.ai/docs/models/alibaba-z-image#request-outpaint-bottom)

- **Path**: `outpaint.bottom`
- **Type**: `integer`
- **Min**: `0`

Number of pixels to extend to the bottom.

#### [left](https://runware.ai/docs/models/alibaba-z-image#request-outpaint-left)

- **Path**: `outpaint.left`
- **Type**: `integer`
- **Min**: `0`

Number of pixels to extend to the left.

#### [right](https://runware.ai/docs/models/alibaba-z-image#request-outpaint-right)

- **Path**: `outpaint.right`
- **Type**: `integer`
- **Min**: `0`

Number of pixels to extend to the right.

#### [top](https://runware.ai/docs/models/alibaba-z-image#request-outpaint-top)

- **Path**: `outpaint.top`
- **Type**: `integer`
- **Min**: `0`

Number of pixels to extend to the top.

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

- **Path**: `lora.model`
- **Type**: `array of objects (3 properties)`

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):

- [Text To Image: Loras Style And Subject Adapters](https://runware.ai/docs/guides/text-to-image#loras-style-and-subject-adapters) (guide)

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

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

LoRA model identifier.

#### [weight](https://runware.ai/docs/models/alibaba-z-image#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.

#### [transformer](https://runware.ai/docs/models/alibaba-z-image#request-lora-transformer)

- **Path**: `lora.transformer`
- **Type**: `string`
- **Default**: `both`

Transformer stages to apply LoRA. Some video models use separate high-noise and low-noise processing stages, and LoRAs can be selectively applied to optimize their effectiveness.

**Allowed values**:

- `high` Apply LoRA only to the high-noise processing stage (coarse structure and early generation steps).
- `low` Apply LoRA only to the low-noise processing stage (fine details and later generation steps).
- `both` Apply LoRA to both stages for full coverage.

### [controlNet](https://runware.ai/docs/models/alibaba-z-image#request-controlnet)

- **Path**: `controlNet.model`
- **Type**: `array of objects (8 properties)`

With ControlNet, you can provide a guide image to help the model generate images that align with the desired structure. This guide image can be generated with our ControlNet preprocessing tool, extracting guidance information from an input image. The guide image can be in the form of an edge map, a pose, a depth estimation or any other type of control image that guides the generation process via the ControlNet model.

Multiple ControlNet models can be used at the same time to provide different types of guidance information to the model.

**Examples**:

```json
"controlNet": [
  {
    "model": "<controlnet-model-air>",
    "guideImage": "c64351d5-4c59-42f7-95e1-eace013eddab",
    "weight": 0.7,
    "startStep": 0,
    "endStep": 20,
    "controlMode": "controlnet"
  }
]
```

**Learn more** (2 resources):

- [Game Assets Canny: Controlnet And Edge Detection](https://runware.ai/docs/guides/game-assets-canny#controlnet-and-edge-detection) (guide)
- [Text To Image: Controlnet Structural Guidance](https://runware.ai/docs/guides/text-to-image#controlnet-structural-guidance) (guide)

#### [model](https://runware.ai/docs/models/alibaba-z-image#request-controlnet-model)

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

ControlNet model identifier.

#### [weight](https://runware.ai/docs/models/alibaba-z-image#request-controlnet-weight)

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

Strength of the ControlNet influence. A value of 0 means no influence. Higher values increase the influence, and negative values can be used to steer away from the guide image.

#### [guideImage](https://runware.ai/docs/models/alibaba-z-image#request-controlnet-guideimage)

- **Path**: `controlNet.guideImage`
- **Type**: `string`
- **Required**: true

Reference image for ControlNet guidance (UUID, URL, Data URI, or Base64).

#### [controlMode](https://runware.ai/docs/models/alibaba-z-image#request-controlnet-controlmode)

- **Path**: `controlNet.controlMode`
- **Type**: `string`
- **Default**: `balanced`

ControlNet guidance mode.

**Allowed values**:

- `balanced` Equal weight between ControlNet and prompt.
- `controlnet` Prioritize ControlNet guidance.
- `prompt` Prioritize prompt guidance.

#### [endStep](https://runware.ai/docs/models/alibaba-z-image#request-controlnet-endstep)

- **Path**: `controlNet.endStep`
- **Type**: `integer`
- **Min**: `1`

Absolute step number to end ControlNet influence. Must be greater than `startStep` and less than or equal to `steps`.

#### [endStepPercentage](https://runware.ai/docs/models/alibaba-z-image#request-controlnet-endsteppercentage)

- **Path**: `controlNet.endStepPercentage`
- **Type**: `integer`
- **Min**: `1`
- **Max**: `100`

Percentage of steps to end ControlNet influence. Must be greater than `startStepPercentage`.

#### [startStep](https://runware.ai/docs/models/alibaba-z-image#request-controlnet-startstep)

- **Path**: `controlNet.startStep`
- **Type**: `integer`
- **Min**: `0`

Absolute step number to start ControlNet influence. Must be less than `endStep`.

#### [startStepPercentage](https://runware.ai/docs/models/alibaba-z-image#request-controlnet-startsteppercentage)

- **Path**: `controlNet.startStepPercentage`
- **Type**: `integer`
- **Min**: `0`
- **Max**: `99`

Percentage of steps to start ControlNet influence. Must be less than `endStepPercentage`.

**Features**

Standalone addons and post-processing features.

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

- **Path**: `ultralytics.CFGScale`
- **Type**: `object (8 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-z-image#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-z-image#request-ultralytics-confidence)

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

Confidence threshold for detection.

#### [maskBlur](https://runware.ai/docs/models/alibaba-z-image#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-z-image#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-z-image#request-ultralytics-negativeprompt)

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

Negative prompt for detection.

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

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

Positive prompt for detection.

#### [steps](https://runware.ai/docs/models/alibaba-z-image#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-z-image#request-ultralytics-strength)

- **Path**: `ultralytics.strength`
- **Type**: `float`
- **Min**: `0`
- **Max**: `1`
- **Step**: `0.01`
- **Default**: `0.3`

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

## Response Parameters

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

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

Type of the task.

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

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

UUID of the task.

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

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

UUID of the output image.

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

- **Type**: `string`
- **Format**: `URI`

URL of the output image.

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

- **Type**: `string`

Base64-encoded image data.

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

- **Type**: `string`
- **Format**: `URI`

Data URI of the output image.

### [seed](https://runware.ai/docs/models/alibaba-z-image#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-z-image#response-nsfwcontent)

- **Type**: `boolean`

Flag indicating if NSFW content was detected.

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

- **Type**: `float`

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

## Examples

### Tidal Library Reading Chamber (Text to Image)

![Tidal Library Reading Chamber](https://assets.runware.ai/examples/z-image/f514aace-da7f-4fd8-95f1-bad1b7dba39a.jpg)

**Request**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "20df5fae-6930-4d47-b75f-80e2a45b23f5",
  "model": "runware:z-image@0",
  "positivePrompt": "A vast reading chamber built inside a hollow sea cliff at low tide, concentric wooden bookcases curving with the rock walls, suspended bridges of brass and rope, towering arched windows opening directly onto foaming ocean water, sunbeams filtered through salt mist, scholars in weathered rain capes reading at long tables lit by warm glass lamps, carved whale motifs, damp stone floors reflecting light, stacks of atlases, hanging compasses, scattered shells and tide charts, cinematic depth, ultra-detailed textures, believable anatomy, atmospheric perspective, rich natural color, crisp focus, imaginative yet grounded, masterful composition",
  "width": 1024,
  "height": 768,
  "seed": 13444,
  "steps": 36,
  "CFGScale": 7.5
}
```

**Response**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "20df5fae-6930-4d47-b75f-80e2a45b23f5",
  "imageUUID": "4ce9d0d2-b9aa-45c1-b247-5faf4e90e886",
  "imageURL": "https://im.runware.ai/image/os/a08d21/ws/2/ii/4ce9d0d2-b9aa-45c1-b247-5faf4e90e886.jpg",
  "seed": 13444,
  "cost": 0.0045
}
```

---

### Glasshouse Clockwork Tea Conservatory (Text to Image)

![Glasshouse Clockwork Tea Conservatory](https://assets.runware.ai/examples/z-image/83a5c61b-4f5f-4c38-8657-00aff949f853.jpg)

**Request**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "6ce48102-60e0-4964-810a-0a8757a7d1ea",
  "model": "runware:z-image@0",
  "positivePrompt": "Inside a vast Victorian glasshouse converted into an eccentric tea salon, towering brass clockwork vines curl around iron columns, suspended porcelain teacups drift on hidden mechanisms, a long marble table is set with mismatched china, sugared fruit, steaming kettles, and tiny mechanical birds. Warm afternoon sunlight filters through fogged panes and hanging ferns, casting patterned shadows across mosaic tiles and polished gears. In the distance, a spiral staircase rises to a canopy walkway beneath the arched glass ceiling. Rich textures, crisp fine detail, imaginative worldbuilding, cinematic depth, soft haze, elegant color harmony, highly detailed scene composition.",
  "width": 1344,
  "height": 768,
  "seed": 40680,
  "steps": 32,
  "CFGScale": 7.5
}
```

**Response**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "6ce48102-60e0-4964-810a-0a8757a7d1ea",
  "imageUUID": "ff51780f-8c0c-4172-a90b-8b96c03102e7",
  "imageURL": "https://im.runware.ai/image/os/a08d21/ws/2/ii/ff51780f-8c0c-4172-a90b-8b96c03102e7.jpg",
  "seed": 40680,
  "cost": 0.0051
}
```

---

### Subterranean Violin Workshop Tableau (Text to Image)

![Subterranean Violin Workshop Tableau](https://assets.runware.ai/examples/z-image/82e45431-da71-4567-9a6d-c24f84fc0aa0.jpg)

**Request**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "26335bf6-8242-4e1a-91f0-d48d2eb4d26d",
  "model": "runware:z-image@0",
  "positivePrompt": "An underground violin workshop carved into warm sandstone, long workbenches crowded with hand tools, curled wood shavings, varnish jars, half-finished violins hanging from copper wires, a master luthier's magnifying lamp casting focused amber light, shelves of labeled tonewood, a narrow stairwell disappearing upward, suspended dust motes, intricate textures of maple, spruce, leather, and aged brass, cinematic depth, ultra-detailed craftsmanship, natural color harmony, atmospheric realism, elegant composition, finely rendered hands and objects, believable workspace clutter, quiet contemplative mood",
  "width": 1024,
  "height": 768,
  "seed": 11638,
  "steps": 32,
  "CFGScale": 7.5
}
```

**Response**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "26335bf6-8242-4e1a-91f0-d48d2eb4d26d",
  "imageUUID": "dbccf910-f6e1-4dfc-b022-13fb07e0b1c0",
  "imageURL": "https://im.runware.ai/image/os/a21d05/ws/2/ii/dbccf910-f6e1-4dfc-b022-13fb07e0b1c0.jpg",
  "seed": 11638,
  "cost": 0.0038
}
```

---

### Rain-Soaked Tram Depot Interior (Text to Image)

![Rain-Soaked Tram Depot Interior](https://assets.runware.ai/examples/z-image/64a706a1-7671-4393-811d-121581db7d0e.jpg)

**Request**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "e9b5d485-7679-471a-8848-84a6f6e69e85",
  "model": "runware:z-image@0",
  "positivePrompt": "A vast early-1900s tram depot converted into a greenhouse workshop after a long rain, iron arches overhead wrapped with climbing ivy, rows of restored amber streetcars parked on wet stone tracks, mechanics' benches mixed with planters of ferns and citrus saplings, puddles reflecting skylight panes, drifting steam from floor vents, scattered brass tools, hanging route placards in faded enamel, a caretaker in a yellow oilskin coat pushing a cart of seedlings through the center aisle, distant pigeons under the rafters, cinematic natural daylight breaking through storm clouds, intricate textures, realistic reflections, deep perspective, crisp fine detail, grounded color palette of moss green, rust, ochre, and slate blue, highly detailed environmental storytelling",
  "width": 1024,
  "height": 768,
  "seed": 168,
  "steps": 32,
  "CFGScale": 7.5
}
```

**Response**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "e9b5d485-7679-471a-8848-84a6f6e69e85",
  "imageUUID": "e986e5f8-00a5-4cca-ac91-25a33c69c51b",
  "imageURL": "https://im.runware.ai/image/os/a21d05/ws/2/ii/e986e5f8-00a5-4cca-ac91-25a33c69c51b.jpg",
  "seed": 168,
  "cost": 0.0038
}
```