---
title: Kandinsky 5.0 Image Lite | Runware Docs
url: https://runware.ai/docs/models/kandinsky-5-0-image-lite
description: Efficient text-to-image and image-to-image editing model
---
# Kandinsky 5.0 Image Lite

![Kandinsky 5.0 Image Lite](https://assets.runware.ai/covers/kandinsky-5-0-image-lite.jpg)

Kandinsky 5.0 Image Lite is an open-source image model that generates high-quality images from text prompts and performs image-to-image edits using a reference image. It blends strong prompt adherence with visual fidelity across diverse visual concepts.

- **Status**: live
- **ID**: `runware:kandinsky-5.0-image-lite@1`
- Try in Playground
- **Release Date**: November 26, 2025
- **Zero Data Retention**: Yes
- **Capabilities**: Text to Image, Image to Image, Edit, Checkpoint

## Pricing

$0.0026 from, per run · ~19s per request

**Measured runs**

- 1024×1024 · steps 10: `$0.0026` (~5s)
- 1024×1024 · steps 20: `$0.0051` (~9s)
- 1024×1024 · steps 50: `$0.0122` (~19s)

**4 example generations**

- [text-to-image](https://runware.ai/docs/models/kandinsky-5-0-image-lite/examples#example-winter-lido-redevelopment-marketing-visual): `$0.0051` (~27s)
- [text-to-image](https://runware.ai/docs/models/kandinsky-5-0-image-lite/examples#example-synthesizer-technician-profile-avatar): `$0.0051` (~35s)
- [text-to-image](https://runware.ai/docs/models/kandinsky-5-0-image-lite/examples#example-pneumatic-waste-system-explainer): `$0.0051` (~20s)
- [text-to-image](https://runware.ai/docs/models/kandinsky-5-0-image-lite/examples#example-anime-oyster-hatchery-recruitment-illustration): `$0.0051` (~9s)

billed by compute time, so a request costs what it took · times vary, measured end to end · [How pricing works](https://runware.ai/docs/models-api/pricing)

## Compatibility & Validation

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

---

The following dimension combinations are supported:

| Configuration | Dimensions |
| --- | --- |
| `1K (1:1)` | `1024x1024` |
| `1K (~9:20)` | `640x1408` |
| `1K (~20:9)` | `1408x640` |
| `1K (3:5)` | `768x1280` |
| `1K (5:3)` | `1280x768` |
| `1K (7:9)` | `896x1152` |
| `1K (9:7)` | `1152x896` |

## Request Parameters

**API Options**

Platform-level options for task execution and delivery.

### [taskType](https://runware.ai/docs/models/kandinsky-5-0-image-lite#request-tasktype)

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

Identifier for the type of task being performed.

### [taskUUID](https://runware.ai/docs/models/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#request-outputtype)

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

Image output type.

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

### [outputFormat](https://runware.ai/docs/models/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#request-webhookurl)

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

Webhook URL that receives JSON responses 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/models-api/webhooks) (platform)

### [deliveryMethod](https://runware.ai/docs/models/kandinsky-5-0-image-lite#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/models-api/task-polling) (platform)

### [uploadEndpoint](https://runware.ai/docs/models/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#request-safety)

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

Content safety checking configuration for image generation.

#### [checkContent](https://runware.ai/docs/models/kandinsky-5-0-image-lite#request-safety-checkcontent)

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

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

### [ttl](https://runware.ai/docs/models/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#request-includecost)

- **Type**: `boolean`

Include task cost in the response.

### [numberResults](https://runware.ai/docs/models/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#request-acceleratoroptions)

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

Advanced caching mechanisms to speed up generation.

#### [cacheEndStep](https://runware.ai/docs/models/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#request-inputs-referenceimages)

- **Path**: `inputs.referenceImages`
- **Type**: `array of strings`
- **Min items**: `items: 1`

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/kandinsky-5-0-image-lite#request-model)

- **Type**: `string`
- **Required**: true
- **Value**: `runware:kandinsky-5.0-image-lite@1`

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/kandinsky-5-0-image-lite#request-positiveprompt)

- **Type**: `string`
- **Required**: true
- **Min**: `2`
- **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/kandinsky-5-0-image-lite#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):

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

### [width](https://runware.ai/docs/models/kandinsky-5-0-image-lite#request-width)

- **Type**: `integer`
- **Required**: true
- **Step**: `16`
- **Paired with**: height

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/kandinsky-5-0-image-lite#request-height)

- **Type**: `integer`
- **Required**: true
- **Step**: `16`
- **Paired with**: width

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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#request-steps)

- **Type**: `integer`
- **Min**: `10`
- **Max**: `50`
- **Default**: `20`

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/kandinsky-5-0-image-lite#request-scheduler)

- **Type**: `string`

Scheduler to use for the diffusion process.

**Allowed values**: `DPM++ 2M Karras` `DPM++ SDE Karras` `DPM++ 2M SDE Exponential` `DPM++ 2M SDE Karras` `Euler` `Euler a` `Euler Trailing` `LCM` `DDIM` `DDPM` `PNDM` `UniPC`

**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/kandinsky-5-0-image-lite#request-cfgscale)

- **Type**: `float`
- **Min**: `2`
- **Max**: `10`
- **Step**: `0.01`
- **Default**: `7`

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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#request-lora-model)

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

LoRA model identifier.

#### [weight](https://runware.ai/docs/models/kandinsky-5-0-image-lite#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.

**Features**

Standalone addons and post-processing features.

### [watermark](https://runware.ai/docs/models/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#request-advancedfeatures-watermark-text)

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

Watermark text.

#### [image](https://runware.ai/docs/models/kandinsky-5-0-image-lite#request-advancedfeatures-watermark-image)

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

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

#### [displayPosition](https://runware.ai/docs/models/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#request-advancedfeatures-watermark-fontcolor)

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

Text color in hex format.

#### [bgColor](https://runware.ai/docs/models/kandinsky-5-0-image-lite#request-advancedfeatures-watermark-bgcolor)

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

Background color in hex format.

## Response Parameters

### [taskType](https://runware.ai/docs/models/kandinsky-5-0-image-lite#response-tasktype)

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

Identifier for the type of task this response belongs to.

### [taskUUID](https://runware.ai/docs/models/kandinsky-5-0-image-lite#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/kandinsky-5-0-image-lite#response-imageuuid)

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

UUID of the output image.

### [imageURL](https://runware.ai/docs/models/kandinsky-5-0-image-lite#response-imageurl)

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

URL of the output image.

### [imageBase64Data](https://runware.ai/docs/models/kandinsky-5-0-image-lite#response-imagebase64data)

- **Type**: `string`

Base64-encoded image data.

### [imageDataURI](https://runware.ai/docs/models/kandinsky-5-0-image-lite#response-imagedatauri)

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

Data URI of the output image.

### [seed](https://runware.ai/docs/models/kandinsky-5-0-image-lite#response-seed)

- **Type**: `integer`

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

### [NSFWContent](https://runware.ai/docs/models/kandinsky-5-0-image-lite#response-nsfwcontent)

- **Type**: `boolean`

Flag indicating if NSFW content was detected.

### [cost](https://runware.ai/docs/models/kandinsky-5-0-image-lite#response-cost)

- **Type**: `float`

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

## Examples

### text-to-image (text-to-image)

![Winter Lido Redevelopment Marketing Visual](https://assets.runware.ai/examples/kandinsky-5-0-image-lite/ce221b26-8651-4b70-9d0c-002ca1353b1a.jpg)

```json
{
  "taskType": "imageInference",
  "taskUUID": "e75978da-fd91-44fc-a325-325645b1dfa7",
  "model": "runware:kandinsky-5.0-image-lite@1",
  "positivePrompt": "Create a finished photoreal architectural marketing image of a restored 1930s outdoor municipal lido transformed into a year-round geothermal bathing destination. Show the site during deep midwinter blue hour immediately after fresh snowfall: a long rectangular thermal pool glowing pale turquoise, dense natural steam drifting over the warm water, crisp snow resting on the pool deck and flat pavilion roofs, and a cobalt evening sky with the last faint coral light along the horizon. The original streamline moderne pavilion has cream stucco, rounded corners, horizontal windows, slender steel railings and a small clock tower; warm amber interior light shines through its windows and reflects across the wet pool edge. A few realistically scaled bathers in dark swimwear and wool hats quietly occupy the water, with subtle silhouettes visible through the steam. Include neatly stacked red rescue floats, simple timber benches and one leafless pollarded tree for restrained color accents. Compose from a slightly elevated viewpoint at the near corner of the pool, using the strong diagonal of the water to lead toward the illuminated pavilion. Emphasize the convincing seasonal relight: cool diffuse snow light outdoors, warm practical lighting inside, soft underwater illumination, physically accurate reflections, translucent steam and delicate footprints in the snow. Sophisticated European architectural photography, calm civic atmosphere, restrained material palette, natural dynamic range, precise geometry, realistic textures, high detail, square composition, no visible branding or written signage.",
  "negativePrompt": "summer foliage, daytime sunlight, tropical resort, fantasy architecture, empty abandoned site, crowded party, exaggerated neon, heavy orange grading, distorted building geometry, warped pool edges, duplicate people, oversized figures, illegible text, logos, watermark, interface elements, split screen, before-and-after layout",
  "width": 1024,
  "height": 1024
}
```

---

### text-to-image (text-to-image)

![Synthesizer Technician Profile Avatar](https://assets.runware.ai/examples/kandinsky-5-0-image-lite/a313d469-9503-4e7b-9679-376fec39e19a.jpg)

```json
{
  "taskType": "imageInference",
  "taskUUID": "c4944ee5-69c2-467b-85e3-49b093f23e9e",
  "model": "runware:kandinsky-5.0-image-lite@1",
  "positivePrompt": "Finished stylized profile avatar for an analog synthesizer repair expert. Head-and-shoulders portrait of a confident middle-aged South Asian woman with a short silver undercut, warm brown eyes, subtle smile, small brass ear cuff, indigo work jacket, and a precision magnifying loupe folded up above one eye. She faces the viewer in a relaxed three-quarter pose. Behind her, modular synthesizer patch sockets, waveform traces, tiny knobs, and a soldering-iron silhouette form a clean radial halo, communicating her profession without clutter. Premium editorial illustration combining opaque gouache, crisp screen-printed shapes, and subtle dry-brush texture; simplified graphic geometry with an expressive, recognizable face. Restricted palette of midnight navy, saffron yellow, warm coral, mint green, and soft cream. Strong silhouette, polished color separation, gentle rim light, face sharply emphasized. Symmetrical square composition designed to remain legible at small profile-picture size and crop safely into a circle, with generous clear space around the head. Solid dark navy background, no lettering, no logo, no interface, standalone artwork.",
  "negativePrompt": "photorealistic stock photo, fantasy scene, cyberpunk neon, text, letters, numbers, logo, watermark, app interface, social media frame, circular border, busy background, full body, cropped head, hidden face, exaggerated grin, extra people, extra limbs, malformed hands, asymmetrical eyes, blurry face, low contrast, muddy colors",
  "width": 1024,
  "height": 1024
}
```

---

### text-to-image (text-to-image)

![Pneumatic Waste System Explainer](https://assets.runware.ai/examples/kandinsky-5-0-image-lite/497f0897-9571-460b-8c7e-902bd1d3ae6d.jpg)

```json
{
  "taskType": "imageInference",
  "taskUUID": "253639b9-e548-48ee-9e08-5ad3d22b42d0",
  "model": "runware:kandinsky-5.0-image-lite@1",
  "positivePrompt": "Create a finished square editorial infographic for a municipal planning report explaining HOW PNEUMATIC WASTE COLLECTION WORKS. Show one compact city block as a precise three-quarter axonometric cutaway: at street level, contemporary mid-rise apartment buildings, small trees, pedestrians and three color-coded waste inlet chutes; underground, transparent soil reveals a branching network of large steel pipes carrying refuse toward a collection terminal at the right edge. Inside the terminal, clearly depict an air separator, a sealed compactor container, an exhaust fan and a clean-air filter. Use bold directional arrows to make the process immediately understandable: bags enter the chutes, valves open, fast airflow pulls bags through underground pipes, waste separates from air, waste is compacted, filtered air exits upward. Organize the explanation as six numbered stages, 01 through 06, with a neat legend along the bottom and very short readable labels: DROP, STORE, SUCTION, SEPARATE, COMPACT, FILTER. Include a restrained headline at top: PNEUMATIC WASTE COLLECTION. Add a tiny side detail showing a cross-section of a pipe with waste bags moving in the airflow. Art direction: sophisticated 1970s European public-information graphics updated for a contemporary engineering consultancy; crisp geometric vector illustration, screen-printed texture, disciplined Swiss grid, strong line hierarchy, flat shapes with subtle grain, warm ivory background, deep navy structures, coral-red waste stream, mint-green clean air and mustard-yellow numbered markers. Dense with useful technical detail but uncluttered, accurate infrastructure relationships, generous margins, balanced square composition, no logos, no fake organization name, no website, no interface elements, no photorealism.",
  "width": 1024,
  "height": 1024
}
```

---

### text-to-image (text-to-image)

![Anime Oyster Hatchery Recruitment Illustration](https://assets.runware.ai/examples/kandinsky-5-0-image-lite/dac2e362-ccc6-4e94-a4b4-03e394641b33.jpg)

```json
{
  "taskType": "imageInference",
  "taskUUID": "39b520e4-9e1a-47fa-8266-b7310cccfc3b",
  "model": "runware:kandinsky-5.0-image-lite@1",
  "positivePrompt": "Finished square key illustration for a coastal aquaculture apprenticeship recruitment campaign, drawn as a polished contemporary anime editorial illustration with crisp cel shading, expressive linework, subtle screen-tone textures, and believable industrial detail. Inside a working oyster hatchery at sunrise, a confident young female aquaculture technician in navy waterproof bib overalls, orange rubber gloves, white deck boots, and a knitted sea-green cap carefully lifts a translucent upwelling cylinder filled with thousands of tiny oyster spat. Show her in three-quarter view from a slightly low angle, focused and quietly proud rather than posing. Circular nursery tanks, aeration hoses, valves, labeled sample bottles with no legible writing, mesh sieves, and wet stainless-steel walkways create an authentic hatchery environment. Through a wide open service door behind her, reveal a calm tidal inlet, low mudflats, work skiffs, and distant salt-marsh grasses in early morning mist. Strong graphic composition: the circular tank rims form sweeping arcs around the technician, while hoses and railings guide the eye toward her hands and the glowing oyster cylinder. Warm coral sunrise light enters from the right and contrasts with cool seafoam green, deep navy, pale aqua, and clean off-white interiors; sparkling water droplets and soft reflected light add energy. Optimistic, capable, grounded mood emphasizing skilled environmental work and marine stewardship. High-end anime production key art, precise anatomy and hands, rich environmental storytelling, clean silhouette, balanced negative space near the upper left for optional campaign copy, but no typography, logos, borders, interface elements, or mockup presentation. One complete standalone illustration.",
  "negativePrompt": "photorealism, generic fantasy, magical creatures, sexualized clothing, pin-up pose, school uniform, laboratory coat, cyberpunk neon, steampunk machinery, dirty abandoned facility, distressed mood, illegible prominent text, logo, watermark, poster border, website UI, split panels, comic speech bubbles, extra fingers, malformed hands, duplicate person, warped tanks, fisheye distortion, low detail, muddy colors",
  "width": 1024,
  "height": 1024
}
```