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FLUX.1 [dev] Control LoRA Depth

flux-control-lora-depth

Image editby Black Forest Labs

FLUX Control LoRA Depth is a high-performance endpoint that uses a control image to transfer structure to the generated image, using a depth map.

images

Details

Accepts
image

Pricing

Price
5 cr / megapixel

Prices in credits (1 credit = $0.01).

Data schema

Input

FieldTypeDescription
seed The same seed and the same prompt given to the same version of the model will output the same image every time.
lorasarray
promptrequiredstringThe prompt to generate an image from.
image_urlURL of image to use for image-to-image generation.
sync_modebooleanIf `True`, the media will be returned as a data URI and the output data won't be available in the request history.
image_sizeThe size of the generated image.
num_imagesintegerThe number of images to generate.
output_formatstringenum: jpeg, pngThe format of the generated image.
guidance_scalenumber 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.
preprocess_depthboolean If set to true, the input image will be preprocessed to extract depth information. This is useful for generating depth maps from images.
num_inference_stepsintegerThe number of inference steps to perform.
control_lora_strengthnumberThe strength of the control lora.
enable_safety_checkerbooleanIf set to true, the safety checker will be enabled. Disabling it requires account authorization; unauthorized requests are always checked, and images flagged as unsafe are returned as black images.
control_lora_image_urlrequiredstring The image to use for control lora. This is used to control the style of the generated image.
strengthnumberThe strength to use for inpainting/image-to-image. Only used if the image_url is provided. 1.0 is completely remakes the image while 0.0 preserves the original.

Output

FieldTypeDescription
seedinteger Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed.
imagesarrayThe generated image files info.
promptstringThe prompt used for generating the image.
timingsobject
has_nsfw_conceptsarrayWhether the generated images contain NSFW concepts.