---
title: UNI-1 | Runware Docs
url: https://runware.ai/docs/models/luma-uni-1
description: Balanced unified image model for creation, precision editing, and multi-reference control
---
# UNI-1

UNI-1 is a unified image model in Luma's UNI-1 family for both image creation and precision image editing. It combines text prompting, source-image modification, multi-reference guidance, seed-based reproducibility, and reasoning-informed visual generation in one system, with strong control over composition, identity, style, and visual plausibility.

- **ID**: `luma:uni@1`
- **Status**: live
- **Creator**: Luma
- **Release Date**: May 5, 2026
- **Capabilities**: Text to Image, Image to Image

## Pricing

Pricing at 2048 pixels for Text to image is $0.0404, for Image edit (image to image) is $0.0434 and $0.003 more for each additional reference image : $0.0464 for 2 ref image, $0.0494 for 3 ref image, etc.

- **2k**: `$0.0404`
- **2k (image editing, 1 ref image)**: `$0.0434`

## Compatibility & Validation

When `inputs.seedImage` is provided, `settings.style` cannot be used.

---

When `inputs.seedImage` is provided, `settings.search` cannot be used.

---

When `inputs.seedImage` is provided, `inputs.referenceImages` is limited to 8 items.

---

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

---

The following dimension combinations are supported:

| Configuration | Dimensions |
| --- | --- |
| `3K (~3:1)` | `3360x1248` |
| `3K (~2:1)` | `2912x1440` |
| `3K (~16:9)` | `2784x1504` |
| `3K (~3:2)` | `2464x1696` |
| `3K (1:1)` | `2048x2048` |
| `3K (~2:3)` | `1696x2464` |
| `3K (~9:16)` | `1504x2784` |
| `3K (~1:2)` | `1440x2912` |
| `3K (~1:3)` | `1248x3360` |

## Request Parameters

**API Options**

Platform-level options for task execution and delivery.

### [taskType](https://runware.ai/docs/models/luma-uni-1#request-tasktype)

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

Identifier for the type of task being performed

### [taskUUID](https://runware.ai/docs/models/luma-uni-1#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/luma-uni-1#request-outputtype)

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

Image output type.

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

### [outputFormat](https://runware.ai/docs/models/luma-uni-1#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/luma-uni-1#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/luma-uni-1#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/luma-uni-1#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/luma-uni-1#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/luma-uni-1#request-safety)

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

Content safety checking configuration for image generation.

#### [checkContent](https://runware.ai/docs/models/luma-uni-1#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/luma-uni-1#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/luma-uni-1#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/luma-uni-1#request-includecost)

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

Include task cost in the response.

### [numberResults](https://runware.ai/docs/models/luma-uni-1#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.

**Inputs**

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

### [seedImage](https://runware.ai/docs/models/luma-uni-1#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)

### [referenceImages](https://runware.ai/docs/models/luma-uni-1#request-inputs-referenceimages)

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

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

**Generation Parameters**

Core parameters for controlling the generated content.

### [model](https://runware.ai/docs/models/luma-uni-1#request-model)

- **Type**: `string`
- **Required**: true
- **Value**: `luma:uni@1`

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/luma-uni-1#request-positiveprompt)

- **Type**: `string`
- **Required**: true
- **Min**: `1`
- **Max**: `6000`

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)

### [width](https://runware.ai/docs/models/luma-uni-1#request-width)

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

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/luma-uni-1#request-height)

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

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)

**Settings**

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

### [search](https://runware.ai/docs/models/luma-uni-1#request-settings-search)

- **Path**: `settings.search`
- **Type**: `boolean`
- **Default**: `false`

When enabled, the model searches the web for visual references before generating. This improves accuracy for prompts that reference real-world subjects, landmarks, or products.

### [style](https://runware.ai/docs/models/luma-uni-1#request-settings-style)

- **Path**: `settings.style`
- **Type**: `string`
- **Default**: `auto`

Applies a style preset to the generation.

**Allowed values**:

- `auto` Model selects the best style for the prompt.
- `manga` Manga/anime aesthetic with ink outlines and screentone shading.

## Response Parameters

### [taskType](https://runware.ai/docs/models/luma-uni-1#response-tasktype)

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

Type of the task.

### [taskUUID](https://runware.ai/docs/models/luma-uni-1#response-taskuuid)

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

UUID of the task.

### [imageUUID](https://runware.ai/docs/models/luma-uni-1#response-imageuuid)

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

UUID of the output image.

### [imageURL](https://runware.ai/docs/models/luma-uni-1#response-imageurl)

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

URL of the output image.

### [imageBase64Data](https://runware.ai/docs/models/luma-uni-1#response-imagebase64data)

- **Type**: `string`

Base64-encoded image data.

### [imageDataURI](https://runware.ai/docs/models/luma-uni-1#response-imagedatauri)

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

Data URI of the output image.

### [seed](https://runware.ai/docs/models/luma-uni-1#response-seed)

- **Type**: `integer`

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

### [NSFWContent](https://runware.ai/docs/models/luma-uni-1#response-nsfwcontent)

- **Type**: `boolean`

Flag indicating if NSFW content was detected.

### [cost](https://runware.ai/docs/models/luma-uni-1#response-cost)

- **Type**: `float`

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

## Examples

### Deserted Arcade Relic Chamber (Image to Image)

![Deserted Arcade Relic Chamber](https://assets.runware.ai/examples/luma-uni-1/830ab732-dfcd-453c-a54a-3a75a32256a9.jpg)

**Request**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "29988756-e5c5-4ff0-af62-ed6b5d197365",
  "model": "luma:uni@1",
  "positivePrompt": "Transform the seed image into a grand forgotten relic chamber inside a derelict arcade, keeping the same wide interior layout, aisle perspective, and machine-row spacing from the seed image. Reimagine the arcade cabinets as monumental shrine-like relic housings with carved stone, aged brass trim, mosaic panels, ceremonial motifs, and artifact compartments inspired by the reference image. Preserve believable architectural structure while blending decayed entertainment venue details with ancient treasury ornament. Dust in the air, shafts of warm light from broken ceiling panels, scattered tokens and fractured tiles on the floor, faint glowing indicator lights hidden among the relic surfaces, cinematic depth, highly detailed textures, realistic materials, immersive atmosphere, dramatic contrast, visually plausible scene.",
  "width": 2464,
  "height": 1696,
  "settings": {
    "style": "auto"
  },
  "inputs": {
    "seedImage": "https://assets.runware.ai/assets/inputs/f6fa2240-f675-4a49-bbe2-b4af131f627a.jpg",
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/65ac7da7-0b8f-40c7-b1a3-2ea1e5fd787b.jpg"
    ]
  }
}
```

**Response**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "29988756-e5c5-4ff0-af62-ed6b5d197365",
  "imageUUID": "4c33c723-f8a7-45a8-8168-aaba85f86959",
  "imageURL": "https://im.runware.ai/image/os/a08dlim3/ws/4/ii/4c33c723-f8a7-45a8-8168-aaba85f86959.jpg",
  "seed": 2093462,
  "cost": 0.0464
}
```

---

### Moonlit Bazaar Rooftop Garden (Image to Image)

![Moonlit Bazaar Rooftop Garden](https://assets.runware.ai/examples/luma-uni-1/ae254631-f315-42bb-9e62-613a452be9be.jpg)

**Request**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "e2bff59d-9255-4f60-ae9c-68c74d8daa29",
  "referenceImages": [
    "https://assets.runware.ai/assets/inputs/cd8c0af8-7f97-405d-830e-5dfce217188b.jpg",
    "https://assets.runware.ai/assets/inputs/636838cb-a9e5-4286-b5e4-b105e74a6801.jpg"
  ],
  "model": "luma:uni@1",
  "positivePrompt": "Create a cinematic night scene that fuses a lively old-world market district with an intimate rooftop garden retreat. View from a slightly elevated angle across tiled rooftops toward a hidden terrace above the bazaar. Include citrus trees in painted ceramic pots, layered woven rugs, low seating, brass lanterns, patterned masonry, suspended fabric canopies below, drifting cooking smoke, and clusters of tiny market lights stretching into the distance. A small group of musicians sits near the terrace edge while shoppers move through the lanes beneath. Emphasize believable architecture, rich textures, moonlit atmosphere, warm-and-cool light contrast, deep spatial layering, and highly detailed environmental storytelling. Realistic, elegant, immersive, visually plausible.",
  "width": 2912,
  "height": 1440,
  "settings": {
    "style": "auto",
    "search": false
  }
}
```

**Response**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "e2bff59d-9255-4f60-ae9c-68c74d8daa29",
  "imageUUID": "3584a22c-3f7a-4bdf-ae9f-0128e2860e9f",
  "imageURL": "https://im.runware.ai/image/os/a01d21/ws/4/ii/3584a22c-3f7a-4bdf-ae9f-0128e2860e9f.jpg",
  "seed": 1213119862,
  "cost": 0.0464
}
```

---

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

![Glasshouse Clockwork Tea Library](https://assets.runware.ai/examples/luma-uni-1/994f6b5d-d04b-4e07-a17c-cf2e0ff7204e.jpg)

**Request**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "8f67abb9-b185-41fa-9f00-e2c06f0bd4fc",
  "model": "luma:uni@1",
  "positivePrompt": "An expansive Victorian-inspired glasshouse transformed into a tea library filled with towering bookshelves, hanging brass gears, suspended teapots, narrow rolling ladders, and delicate steam-powered reading lamps. In the center, a circular tasting table displays porcelain cups, handwritten labels, dried herbs, and tiny mechanical birds sorting bookmarks. Sunlight pours through patterned glass panels overhead, casting prismatic reflections across polished wood floors and copper piping. Dense indoor citrus trees and climbing vines weave around the architecture, blending botanical elegance with precise clockwork engineering. Rich environmental storytelling, highly detailed textures, cinematic depth, balanced composition, natural color harmony, crisp focus, imaginative yet plausible design.",
  "width": 2464,
  "height": 1696,
  "settings": {
    "style": "auto"
  }
}
```

**Response**:

```json
{
  "taskType": "imageInference",
  "taskUUID": "8f67abb9-b185-41fa-9f00-e2c06f0bd4fc",
  "imageUUID": "16f0a674-cfb3-4d71-9095-9cefac3a204f",
  "imageURL": "https://im.runware.ai/image/os/a07dlim3/ws/4/ii/16f0a674-cfb3-4d71-9095-9cefac3a204f.jpg",
  "seed": 356708615,
  "cost": 0.0404
}
```