FLUX.1 [dev] Depth with LoRAs
/v1/runFlux Lora Depth is BFL's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.
Request body
Submit an async generation request. The model field selects the model; other fields are model-specific input parameters.
Model identifier. Set to bfl/flux-lora-depth.
Default: bfl/flux-lora-depth
The prompt to generate an image from.
URL of image to use for depth input
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.
Range: 0 to 35
Default: 3.5
The number of inference steps to perform.
Range: 1 to 50
Default: 28
The format of the generated image.
Allowed values: jpeg, png
Default: jpeg
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:
The aspect ratio of the generated image.
Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16
The same seed and the same prompt given to the same version of the model will output the same image every time.
Response Schema
The submit endpoint returns an accepted generation task. Poll the result endpoint with the returned id for terminal outputs or errors.
Error message if the task failed. Empty on success.
Unique identifier for the generation task.
Model ID used for the prediction.
Array of generated content. Empty when status is not completed.
Status of the task: pending, running, completed, failed, or timeout.
Allowed values: pending, running, completed, failed, timeout
Model capabilities
Capabilities declared by the model registry.
Default: image-to-image
Execution mode declared by the model registry.
Default: async

