MODEL ID minimax:2@1

live

MiniMax 01 Director

by MiniMax January 28, 2025

MiniMax 01 Director generates short cinematic video clips from text prompts with director level control. It supports detailed camera movement instructions, stable framing, and reduced motion randomness. Ideal for film previz, ads, and story beats inside production tools.

API Options

Platform-level options for task execution and delivery.

taskType string required value: videoInference: 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: Video output type.

Allowed values 1 value

outputFormat string default: MP4

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

`MP4`: Widely supported video container (H.264), recommended for general use.
`WEBM`: Optimized for web delivery.
`MOV`: QuickTime format, common in professional workflows (Apple ecosystem).

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: async

Determines how the API delivers task results.

Allowed values 1 value

: Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse. Required for long-running tasks like video generation.

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 video 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 video generation.

Allowed values 3 values

: Disables checking.
: Checks key frames.
: Checks all frames.

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: 4 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 » frameImages frameImages array of strings or objects items: 1

An array of frame-specific image inputs to guide video generation. Each item can be either a plain image input (UUID, URL, Data URI, or Base64) or an object that pairs an image with a target frame position.

The frameImages parameter allows you to constrain specific frames within the video sequence, ensuring that particular visual content appears at designated points. This is different from referenceImages, which provide overall visual guidance without constraining specific timeline positions.

When the frame parameter is omitted, automatic distribution rules apply:

1 image: Used as the first frame.

Examples 2 examples

Shorthand format: When you don't need to specify a frame position, you can pass a plain image input directly.

"frameImages": [
  "aac49721-1964-481a-ae78-8a4e29b91402"
]

Object format: When you need to specify a frame position, use an object with image and frame.

"frameImages": [
  {
    "image": "aac49721-1964-481a-ae78-8a4e29b91402",
    "frame": "first"
  }
]

Format 1: string[]

string: Image input (UUID, URL, Data URI, or Base64).

Format 2: object[] 2 properties

inputs » frameImages » image image string required: Image input (UUID, URL, Data URI, or Base64).

inputs » frameImages » frame frame object

Target frame position for the image. This model only supports the first frame.

Allowed values 2 values

: First frame of the video.
: Frame index 0 (first frame).

Generation Parameters

Core parameters for controlling the generated content.

model string required value: minimax:2@1

Identifier of the model to use for generation.

Learn more 3 resources

positivePrompt string min: 2 max: 2000

Text prompt describing elements to include in the generated output.

Learn more 2 resources

width integer paired with height

Width of the generated media in pixels.

Learn more 2 resources

height integer paired with width

Height of the generated media in pixels.

Learn more 2 resources

duration float value: 6: Length of the generated video in seconds. The total number of frames produced is determined by duration multiplied by the model's frame rate (fps).

fps integer value: 25: Frames per second for video generation. Higher values create smoother motion but require more processing time.

Provider Settings

Parameters specific to this model provider. These must be nested inside the providerSettings.minimax object.

providerSettings » minimax » promptOptimizer promptOptimizer boolean default: false: Enable automatic prompt optimization. Affects reproducibility.

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

taskUUID string required UUID v4: UUID of the task.

videoUUID string required UUID v4: UUID of the output video.

videoURL string URI: URL of the output video.

videoBase64Data string: Base64-encoded video data.

videoDataURI string URI: Data URI of the output video.

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 Video

Subway Aquarium Breakthrough Scene

Request

{
  "taskType": "videoInference",
  "taskUUID": "bfb0df37-8a4f-457b-9253-fb5aa0c243e5",
  "model": "minimax:2@1",
  "positivePrompt": "An abandoned underground subway platform transformed into a flooded aquarium corridor, cracked tiled walls, retro route maps peeling away, schools of silver fish drifting through suspended water pockets above the tracks, a lone child in a bright yellow flotation coat standing beside a vending machine glowing pale cyan. Cinematic suspense with whimsical wonder. Camera direction: begin with a locked wide shot facing down the platform, very subtle push-in for the first 2 seconds, then a slow left-to-right dolly revealing a massive glass tunnel embedded where the train should arrive, behind it a giant manta ray glides past. At second 4, tilt slightly upward as droplets fall in slow arcs from the ceiling and the child lifts a flashlight toward the tunnel. Stable framing, smooth motion, restrained subject movement, high detail, realistic water caustics, soft haze, muted concrete tones with selective color accents, polished filmic lighting, strong depth, believable reflections.",
  "width": 1366,
  "height": 768,
  "duration": 6,
  "fps": 25,
  "providerSettings": {
    "minimax": {
      "promptOptimizer": false
    }
  }
}

Response

{
  "taskType": "videoInference",
  "taskUUID": "bfb0df37-8a4f-457b-9253-fb5aa0c243e5",
  "videoUUID": "d41251a6-a50c-4a7b-8b5d-f847fbd756d9",
  "videoURL": "https://vm.runware.ai/video/os/a02d21/ws/5/vi/d41251a6-a50c-4a7b-8b5d-f847fbd756d9.mp4",
  "seed": 688630302,
  "cost": 0.28
}

Text to Video

Submerged Metro Concourse Escape

Request

{
  "taskType": "videoInference",
  "taskUUID": "2db3d6a7-414b-4356-9d3b-a92162644ff9",
  "model": "minimax:2@1",
  "positivePrompt": "A retro-futurist underground metro concourse partially flooded after a structural breach, flickering route maps, suspended debris, broken turnstiles, emergency strip lights reflecting across shallow water. A solitary courier in a mustard survival coat runs through the hall carrying a glowing data case while a maintenance drone skims low over the water behind them. Start with a wide locked establishing shot from the far end of the concourse, then execute a slow controlled dolly forward as the courier splashes into frame from the left, passing abandoned ticket gates. Midway, add a subtle pan right to reveal a collapsed ceiling spilling water in sheets, then transition into a gentle low-angle tracking move that follows behind the courier for several steps. End on a stable medium shot as the courier stops at a sealed platform door and turns slightly toward camera, breathing hard, with ripples spreading across the floor. Cinematic realism, precise blocking, restrained motion, crisp reflections, atmospheric mist, industrial textures, dramatic contrast, high production value, consistent framing, no chaotic camera shake.",
  "width": 1366,
  "height": 768,
  "duration": 6,
  "fps": 25,
  "providerSettings": {
    "minimax": {
      "promptOptimizer": false
    }
  }
}

Response

{
  "taskType": "videoInference",
  "taskUUID": "2db3d6a7-414b-4356-9d3b-a92162644ff9",
  "videoUUID": "e11e76ff-a1e9-4c1d-92b0-d6a65dc6ed3d",
  "videoURL": "https://vm.runware.ai/video/os/a04d20/ws/5/vi/e11e76ff-a1e9-4c1d-92b0-d6a65dc6ed3d.mp4",
  "seed": 110451240,
  "cost": 0.28
}

Text to Video

Rotating Museum Relic Unveiling

Request

{
  "taskType": "videoInference",
  "taskUUID": "3389f6e3-8059-4c9e-aa89-8e9babba1317",
  "model": "minimax:2@1",
  "positivePrompt": "Inside a grand natural history museum gallery, a mysterious engraved relic stands on a central pedestal beneath towering fossil skeletons. Begin with a composed establishing shot in warm shafts of light cutting through dusty air, then execute a slow controlled dolly-in with a gentle clockwise arc around the pedestal. Midway, the cloth covering the relic slips away, revealing intricate gold and obsidian details. Keep framing stable and deliberate, with subtle parallax from columns and skeleton ribs in the foreground. Finish on a near-close view of the artifact as tiny dust particles drift and specular highlights glide across the carved surface. Premium cinematic realism, rich contrast, elegant production design, restrained motion, film-previs precision.",
  "width": 1366,
  "height": 768,
  "duration": 6,
  "fps": 25,
  "providerSettings": {
    "minimax": {
      "promptOptimizer": false
    }
  },
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/22526bd4-5a4b-4416-9998-a5e650497c77.jpg"
      }
    ]
  }
}

Response

{
  "taskType": "videoInference",
  "taskUUID": "3389f6e3-8059-4c9e-aa89-8e9babba1317",
  "videoUUID": "d5981667-cd21-4282-b623-f36fad40a1ff",
  "videoURL": "https://vm.runware.ai/video/os/a12d13/ws/5/vi/d5981667-cd21-4282-b623-f36fad40a1ff.mp4",
  "seed": 358713638,
  "cost": 0.28
}

Parameter Dependencies

Dimensions

The following dimension combinations are supported:

Configuration	Dimensions
`720p (16:9)`	`1366x768`

Pricing

Each generation will cost $0.0560/s for 720p.

720p · 5s $0.28