API reference · BFL

bfl/flux-control-lora-depth

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-control-lora-depth

Input Schema

11 parameters · 2 required · 9 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of image to use for image-to-image generation.
`prompt`	string	Required	The prompt to generate an image from.
`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: []
`aspect_ratio`	string	Optional	The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16
`output_format`	string	Optional	The format of the generated image. · Options: jpeg, png · Default: "jpeg" 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: 35 · Default: 3.5
`preprocess_depth`	boolean	Optional	If set to true, the input image will be preprocessed to extract depth information. This is useful for generating depth maps from images. · Default: true
`num_inference_steps`	integer	Optional	The number of inference steps to perform. · Min: 1 · Max: 50 · Default: 28
`control_lora_strength`	number	Optional	The strength of the control lora. · Min: 0 · Max: 2 · Default: 1
`control_lora_image_url`	string	Optional	The image to use for control lora. This is used to control the style of the generated image.

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-control-lora-depth",
  "loras": [],
  "prompt": "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \"FLUX\" is painted over it in big, white brush strokes with visible texture.",
  "output_format": "jpeg",
  "guidance_scale": 3.5,
  "preprocess_depth": true,
  "num_inference_steps": 28,
  "control_lora_strength": 1,
  "control_lora_image_url": "https://static.sandbase.ai/examples/bfl/flux-control-lora-depth/input_control_lora_image_url_0.jpg"
}'

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

← Back to FLUX.1 [dev] Control LoRA Depth