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MODEL IDbria:51@1
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Bria Video Background Removal

Bria
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Bria Video Background Removal detects moving subjects in video and removes complex backgrounds in real time. It outputs clean alpha channels for precise keying. Ideal for virtual production, live streaming, post production pipelines, and automated video workflows.

Bria Video Background Removal

API Options

Platform-level options for task execution and delivery.

taskType

stringrequiredvalue: removeBackground

Identifier for the type of task being performed.

taskUUID

stringrequiredUUID v4

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

outputType

stringdefault: URL

Video output type.

Allowed values1 value

outputFormat

stringdefault: WEBM

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

  • `WEBM`: Optimized for web delivery.
  • `MOV`: QuickTime format, common in professional workflows (Apple ecosystem).
Allowed values2 values

outputQuality

integermin: 20max: 99default: 95

Compression quality of the output. Higher values preserve quality but increase file size.

webhookURL

stringuri

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 more1 resource

deliveryMethod

stringdefault: async

Determines how the API delivers task results.

Allowed values1 value
Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse. Required for long-running tasks like video generation.
Learn more1 resource

uploadEndpoint

stringuri

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.

ttl

integermin: 60

Time-to-live (TTL) in seconds for generated content. Only applies when outputType is URL.

includeCost

boolean

Include task cost in the response.

routing

object

Model router options. Only read when model is auto, and never sent to the model.

Properties3 properties
routing » preferences

preferences

object

Relative importance of each dimension when models are compared. Weights, not thresholds.

Properties3 properties
routing » preferences » quality
quality
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » preferences » speed
speed
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » preferences » cost
cost
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » maxPrice

maxPrice

floatmin: 0

Upper bound on what this request may cost, in USD. A model whose cost cannot be bounded is not chosen.

routing » requirements

requirements

stringmax: 3000

Conditions the result has to meet, in plain words. A model that cannot meet them is not chosen.

Inputs

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

inputs » video

video

stringrequired

Video input (UUID or URL).

Core Parameters

Primary parameters that define the task output.

model

stringrequiredvalue: bria:51@1

Send auto instead of an AIR identifier to have the model router choose the model for this task. The rest of the request is unchanged, every value you send is kept, and only the parameters you leave out are filled in. See Model Router.

Learn more3 resources

Settings

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

settings » rgba

rgba

array of integersmin: 0max: 255items: 4default: 255,255,255,0

Background color as [red, green, blue, alpha] array.

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