FLUX.1 [dev] Fill with LoRAs
/v1/runFlux Lora Fill by BFL - AI-powered image editing, style transfer, and transformation. Edit photos with natural language instructions, remove backgrounds, change styles, and enhance images effortlessly.
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-fill.
Default: bfl/flux-lora-fill
The prompt to generate an image from.
Default:
URL of image to use for fill operation
The mask to area to Inpaint in.
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: 28 to 35
Default: 30
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
Resizes the image back to the original size. Use when you wish to preserve the exact image size as the originally provided image.
Default: false
Use an image fill input to fill in particular images into the masked area.
Specifies whether to paste-back the original image onto to the non-inpainted areas of the output
Default: true
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

