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MODEL ID bfl:flux@outpainting
api-only

FLUX Outpainting

Black Forest Labs
by Black Forest Labs

FLUX Outpainting is a dedicated image expansion model from Black Forest Labs that extends an existing image beyond its original borders in a single call. It is tuned to continue scene content, lighting, texture, and composition naturally without requiring a text prompt, making it useful for aspect-ratio changes, social reformats, banner layouts, and other canvas-extension workflows.

FLUX Outpainting

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

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

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 » image

image

string required

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

Core Parameters

Primary parameters that define the task output.

model

string required value: bfl:flux@outpainting

Identifier of the model to use for generation.

outpaint

object required

Extends image boundaries in specified directions. Final width/height must account for original image plus extensions.

Properties 4 properties
outpaint » bottom

bottom

integer min: 0

Number of pixels to extend to the bottom.

outpaint » left

left

integer min: 0

Number of pixels to extend to the left.

outpaint » right

right

integer min: 0

Number of pixels to extend to the right.

outpaint » top

top

integer min: 0

Number of pixels to extend to the top.

Settings

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

autoCrop

boolean default: false

If true, crop the reference image to the canvas bounds when it extends beyond the edges. Defaults to false (out-of-bounds placements return 422).

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