MODEL ID luma:uni@1-max

coming-soon

UNI-1 Max

by Luma May 5, 2026

UNI-1 Max is the quality-first variant in Luma's UNI-1 image family for both image creation and precision image editing. It uses the same API shape and capability set as UNI-1, but is tuned for higher-quality output when detail, polish, and final-image quality matter more than using the default variant.

API Options

Platform-level options for task execution and delivery.

taskType string required value: imageInference: Identifier for the type of task being performed

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

outputType string default: URL: Image output type.

Allowed values 3 values

outputFormat 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.

**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 3 values

outputQuality integer min: 20 max: 99 default: 95: Compression quality of the output. Higher values preserve quality but increase file size.

webhookURL string 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
PLATFORM

deliveryMethod string default: sync

Determines how the API delivers task results.

Allowed values 2 values

: Returns complete results directly in the API response.
: Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.

Learn more 1 resource

Task Polling
PLATFORM

uploadEndpoint string 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.

// 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 object

Content safety checking configuration for image generation.

Properties 2 properties

safety » checkContent checkContent boolean default: false: Enable or disable content safety checking. When enabled, defaults to fast mode.

safety » mode mode string default: none

Safety checking mode for image generation.

Allowed values 2 values

: Disables checking.
: Performs a single check.

ttl integer min: 60: Time-to-live (TTL) in seconds for generated content. Only applies when outputType is URL.

includeCost boolean default: false: Include task cost in the response.

numberResults 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.

inputs » seedImage seedImage string

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

Learn more 3 resources

inputs » referenceImages referenceImages array of strings min items: 1max items: 9: List of reference images (UUID, URL, Data URI, or Base64).

Generation Parameters

Core parameters for controlling the generated content.

model string required value: luma:uni@1-max

Identifier of the model to use for generation.

Learn more 3 resources

positivePrompt string required min: 1 max: 6000

Text prompt describing elements to include in the generated output.

Learn more 2 resources

width integer required* paired with height

Width of the generated media in pixels.

Learn more 2 resources

height integer required* paired with width

Height of the generated media in pixels.

Learn more 2 resources

Settings

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

settings » search search 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.

settings » style style string default: auto

Applies a style preset to the generation.

Allowed values 2 values

: Model selects the best style for the prompt.
: Manga/anime aesthetic with ink outlines and screentone shading.

taskType string required value: imageInference: Type of the task.

taskUUID string required UUID v4: UUID of the task.

imageUUID string required UUID v4: UUID of the output image.

imageURL string URI: URL of the output image.

imageBase64Data string: Base64-encoded image data.

imageDataURI string URI: Data URI of the output image.

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

NSFWContent boolean: Flag indicating if NSFW content was detected.

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

Text to Image

Flooded Ballroom Chess Match

Request

{
  "taskType": "imageInference",
  "taskUUID": "89d634f4-5205-4a15-8f9c-bebf664d1e48",
  "model": "luma:uni@1-max",
  "positivePrompt": "An opulent abandoned ballroom partially flooded with shallow water, transformed into a surreal chess arena. Two elegantly dressed rivals face each other across a giant inlaid marble chessboard emerging from the water, one in a cream tailcoat with brass embroidery, the other in a deep emerald gown with sharp geometric shoulders. Floating candles drift low over the surface, their reflections rippling across the room. Massive cracked frescoes, toppled candelabras, gilt columns, and torn silk banners frame the scene. Outside the shattered arched windows, a pale stormy dawn glows over a distant formal garden. Cinematic wide composition, meticulous textures, polished marble, wet reflections, atmospheric depth, suspended dust, rich color contrast, ultra-detailed luxury decay, high realism, dramatic but refined mood.",
  "width": 2464,
  "height": 1696,
  "settings": {
    "style": "auto"
  }
}

Response

{
  "taskType": "imageInference",
  "taskUUID": "89d634f4-5205-4a15-8f9c-bebf664d1e48",
  "imageUUID": "81cb39b3-5c9f-4b69-b513-437be87cf004",
  "imageURL": "https://im.runware.ai/image/os/a03d21/ws/4/ii/81cb39b3-5c9f-4b69-b513-437be87cf004.jpg",
  "seed": 915025638,
  "cost": 0.1
}

Image to Image

Saffron Dune Aerostat Encampment

Request

{
  "taskType": "imageInference",
  "taskUUID": "fece631a-2bb0-4848-b9dd-17dc2356b113",
  "model": "luma:uni@1-max",
  "positivePrompt": "Transform the seed landscape into an expansive desert encampment centered around a colossal tethered aerostat resting among dunes, blending the aerostat engineering and patchwork textile details from the first reference with the lived-in camp architecture, woven furnishings, and warm color palette from the second reference. Show clustered shade canopies, suspended bridges, cargo nets, carved poles, brass lanterns, sand-scoured fabric banners, storage crates, cooking fires, water vessels, and small groups of travelers moving through the settlement. Emphasize premium cinematic detail, believable scale, textured cloth, weathered metal, rippled sand, long late-afternoon shadows, heat haze, and a sweeping panoramic composition with a sense of discovery and grandeur.",
  "width": 2912,
  "height": 1440,
  "settings": {
    "style": "auto",
    "search": false
  },
  "inputs": {
    "seedImage": "https://assets.runware.ai/assets/inputs/fbb0c4d6-6c8a-4dc0-b2ac-187c6d09a2df.jpg",
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/48c64dc6-2399-45bb-949e-3e4f753c8a43.jpg",
      "https://assets.runware.ai/assets/inputs/2f1fe7fd-9f89-4807-88ed-a7b3117a9f37.jpg"
    ]
  }
}

Response

{
  "taskType": "imageInference",
  "taskUUID": "fece631a-2bb0-4848-b9dd-17dc2356b113",
  "imageUUID": "1ffa57df-129a-4758-be6d-6d0ae8269439",
  "imageURL": "https://im.runware.ai/image/os/a05d22/ws/4/ii/1ffa57df-129a-4758-be6d-6d0ae8269439.jpg",
  "seed": 1812302252,
  "cost": 0.109
}

Image to Image

Deserted Funfair Fog Tableau

Request

{
  "taskType": "imageInference",
  "taskUUID": "be8149d5-3582-48c3-b6f5-0c81848c28a3",
  "model": "luma:uni@1-max",
  "positivePrompt": "Create a richly detailed cinematic scene that blends the supplied character and environment references: a solitary itinerant illusionist walking through an abandoned countryside funfair at first light, crooked ferris wheel looming in the background, faded striped tents, torn pennants fluttering, muddy pathways with puddles reflecting pale amber sky, scattered carousel horses and toppled signboards, dense low fog wrapping around boots and wagon tracks, the figure styled from the reference with patchwork textiles, worn leather satchel, subtle metallic instruments and hand-painted props, mood of eerie wonder rather than horror, layered depth, finely rendered fabrics, peeling paint, damp wood grain, delicate atmospheric perspective, naturalistic color grading, premium editorial fantasy photography aesthetic, ultra-clean composition, exquisite detail, polished final-image quality",
  "width": 2464,
  "height": 1696,
  "settings": {
    "style": "auto",
    "search": false
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/e2328f5b-8402-40a8-94c2-c6d8ba838fa2.jpg",
      "https://assets.runware.ai/assets/inputs/201fc341-055c-42fa-a441-f9a1559b5f2d.jpg"
    ]
  }
}

Response

{
  "taskType": "imageInference",
  "taskUUID": "be8149d5-3582-48c3-b6f5-0c81848c28a3",
  "imageUUID": "859153fe-dd98-4660-b63e-3bdccd90bd6a",
  "imageURL": "https://im.runware.ai/image/os/a06dlim3/ws/4/ii/859153fe-dd98-4660-b63e-3bdccd90bd6a.jpg",
  "seed": 28276025,
  "cost": 0.106
}

Text to Image

Moonlit Bazaar Rooftop Feast

Request

{
  "taskType": "imageInference",
  "taskUUID": "f17965e8-f84f-4413-b2ba-ce9ea067310f",
  "model": "luma:uni@1-max",
  "positivePrompt": "A lavish rooftop feast above a labyrinthine desert bazaar under a huge rising moon, long woven awnings stretched between domes and minarets, brass lanterns casting patterned shadows across low tables covered with jeweled fruit, saffron rice, and ornate ceramic dishes. Musicians in embroidered robes play stringed instruments near the parapet while acrobats perform on narrow beams between rooftops below. In the distance, pale dunes meet a dark cobalt sky filled with drifting kites and faint smoke from cookfires. Ultra-detailed architecture, layered textiles, intricate mosaic surfaces, expressive crowd moments, cinematic depth, luminous night atmosphere, premium editorial fantasy photography look, crisp focus, natural color contrast, exceptionally refined textures.",
  "width": 2784,
  "height": 1504,
  "settings": {
    "style": "auto",
    "search": false
  }
}

Response

{
  "taskType": "imageInference",
  "taskUUID": "f17965e8-f84f-4413-b2ba-ce9ea067310f",
  "imageUUID": "99845610-eafe-4a61-9d62-c985cfec27be",
  "imageURL": "https://im.runware.ai/image/os/a01d21/ws/4/ii/99845610-eafe-4a61-9d62-c985cfec27be.jpg",
  "seed": 254097921,
  "cost": 0.1
}

Parameter Dependencies

Dimensions

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`

Pricing

Pricing at 2048 pixels for Text to image is $0.1, for Image edit (image to image) is $0.103 and $0.003 more for each additional reference image : $0.106 for 2 ref image, $0.109 for 3 ref image, etc.

2k $0.1

2k (image editing, 1 ref image) $0.103