FLUX Erase

FLUX Erase is a dedicated image editing model from Black Forest Labs for removing unwanted objects, text, or distractions from an image while reconstructing the surrounding content naturally. It is tuned for erase-style workflows where the goal is not to replace an element with something new, but to leave a clean, coherent result that matches nearby structure, lighting, texture, and scene context.

Complete technical specification for integration
Step-by-step tutorials for advanced use cases
API Options
Platform-level options for task execution and delivery.
taskType
stringrequiredvalue: imageInferenceIdentifier for the type of task being performed
taskUUID
stringrequiredUUID v4UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
outputType
stringdefault: URLImage output type.
Allowed values3 values
outputFormat
stringdefault: JPGSpecifies 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 values3 values
outputQuality
integermin: 20max: 99default: 95Compression quality of the output. Higher values preserve quality but increase file size.
webhookURL
stringURISpecifies 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 more1 resource
- WebhooksPLATFORM
- Webhooks
deliveryMethod
stringdefault: syncDetermines how the API delivers task results.
Allowed values2 values
- Returns complete results directly in the API response.
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more1 resource
- Task PollingPLATFORM
uploadEndpoint
stringURISpecifies 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.jpgThe content data will be sent as the request body to the specified URL when generation is complete.
safety
objectContent safety checking configuration for image generation.
Properties1 property
safety»checkContentcheckContent
booleandefault: falseEnable or disable content safety checking.
ttl
integermin: 60Time-to-live (TTL) in seconds for generated content. Only applies when
outputTypeisURL.
includeCost
booleandefault: falseInclude task cost in the response.
numberResults
integermin: 1max: 20default: 1Number 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 object.Core Parameters
Primary parameters that define the task output.
model
stringrequiredvalue: bfl:flux@eraseIdentifier of the model to use for generation.
Learn more3 resources
Settings
Technical parameters to fine-tune the inference process. These must be nested inside the settings object.
settings object.settings»dilatePixelsdilatePixels
integermin: 0max: 25default: 10Expands the mask boundary by this many pixels before erasing. Helps the model fully cover object edges and catch details the mask may have missed, such as thin outlines, soft edges, or partial shadows. For masks generated by SAM or similar segmentation tools, start with 10. For soft-edged subjects like hair, fur, or smoke, use 15-20.
Features
Standalone addons and post-processing features.
watermark
objectConfiguration object for adding watermarks to generated videos. Watermarks can be applied using either text or image content with customizable positioning and appearance. You must provide either
textorimagecontent for the watermark, but not both."advancedFeatures": { "watermark": { "text": "© 2025 Company", "displayPosition": "bottom-right", "opacity": 0.6, "fontColor": "#ffffff", "bgColor": "#000000" } }"advancedFeatures": { "watermark": { "image": "c64351d5-4c59-42f7-95e1-eace013eddab", "displayPosition": "top-left", "opacity": 0.6 } }"advancedFeatures": { "watermark": { "text": "PREVIEW", "tiled": true, "opacity": 0.4, "fontColor": "#cccccc" } }Properties7 properties
watermark»texttext
stringmin: 2max: 32Watermark text.
watermark»imageimage
stringWatermark image (UUID, URL, Data URI, or Base64).
watermark»displayPositiondisplayPosition
stringWatermark position.
Allowed values9 values
watermark»tiledtiled
booleanEnable tiled watermark.
watermark»opacityopacity
floatmin: 0.1max: 1step: 0.01Watermark opacity.
watermark»fontColorfontColor
stringText color in hex format.
watermark»bgColorbgColor
stringBackground color in hex format.