Extract Object
/v1/runExtract Object by Bria - AI-powered image editing, style transfer, and transformation. Edit photos with natural language instructions, remove backgrounds, change styles, and enhance images effortlessly.
Request body
Submit an async generation request. The model field selects the model; other fields are model-specific input parameters.
Model identifier. Set to bria/extract-object.
Default: bria/extract-object
Natural-language description of the object to act on, e.g. 'the red car'.
Default: yellow hammer
Source image as a public URL or raw base64-encoded image bytes (no data-URI prefix).
Default: https://bria-datasets.s3.amazonaws.com/object-extraction/tools_construction_flatlay.jpg
When True, refine the cutout alpha with background removal (RMBG). When False (default), use the SAM segmentation mask as the cutout's alpha -- faster, with no salient-object matting (helpful when RMBG over-trims text, logos, or graphics).
Default: false
Tighten the output canvas to the extracted object.
Default: false
Response Schema
The submit endpoint returns a run response. If its status is pending or running, poll GET /v1/run/{id} with the returned opaque ID until it reaches a terminal state.
Opaque SandBase run identifier. Use it exactly as returned; no prefix is guaranteed.
Current public run status.
Allowed values: pending, running, completed, failed, timeout
Public SandBase model name used for this run.
Present only for completed runs. Each object is capability-specific; inspect the selected model schema for its fields.
Present only for failed or timeout runs. Contains a public error type and sanitized message.
Stable public error category.
Sanitized error message safe to show to clients.
Usage details when available.
Model capabilities
Capabilities declared by the model registry.
Default: image-to-image
Execution mode declared by the model registry.
Default: async