API reference · BFL

bfl/flux-kontext-lora/inpaint

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

IMAGEAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDbfl/flux-kontext-lora/inpaint

Input Schema

10 parameters · 2 required · 8 optional

Parameter	Type	Required	Description
`image`	string	Required	The URL of the image to be inpainted.
`prompt`	string	Required	The prompt for the image to image task.
`mask`	string	Optional	The URL of the mask for inpainting.
`seed`	integer	Optional	The same seed and the same prompt given to the same version of the model will output the same image every time.
`loras`	object[]	Optional	The LoRAs to use for the image generation. You can use any number of LoRAs and they will be merged together to generate the final image. · Default: []
`strength`	number	Optional	The strength of the initial image. Higher strength values are better for this model. · Min: 0.01 · Max: 1 · Default: 0.88
`output_format`	string	Optional	The format of the generated image. · Options: jpeg, png · Default: "png" jpegpng
`guidance_scale`	number	Optional	The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. · Min: 0 · Max: 20 · Default: 2.5
`num_inference_steps`	integer	Optional	The number of inference steps to perform. · Min: 10 · Max: 50 · Default: 30
`reference_image_url`	string	Optional	The URL of the reference image for inpainting.

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "bfl/flux-kontext-lora/inpaint",
  "mask": "https://static.sandbase.ai/examples/bfl/flux-kontext-lora/inpaint/input_mask_0.png",
  "image": "https://static.sandbase.ai/examples/bfl/flux-kontext-lora/inpaint/input_image_1.jpeg",
  "loras": [],
  "prompt": "A football lying on a field.",
  "strength": 0.88,
  "output_format": "png",
  "guidance_scale": 2.5,
  "num_inference_steps": 30,
  "reference_image_url": "https://static.sandbase.ai/examples/bfl/flux-kontext-lora/inpaint/input_reference_image_url_2.jpeg"
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

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