SDXL ControlNet Union

An efficent SDXL multi-controlnet image-to-image model.

Inference$ Commercial useFrom 1 credit per run

About SDXL ControlNet Union

An efficent SDXL multi-controlnet image-to-image model.

diffusioncontrolnetcomposition

Pricing

A run with the default settings costs 1 credits. The exact cost updates in the playground as you change settings, and you're only charged when you press Run. Failed runs are refunded automatically.

Inputs

prompttextarearequired

The prompt to use for generating the image. Be as descriptive as possible for best results.

controlnet_conditioning_scalenumberdefault: 0.5

The scale of the controlnet conditioning.

image_urlfilerequired

The URL of the image to use as a starting point for the generation.

negative_prompttextareadefault: ""

The negative prompt to use.Use it to address details that you don't want in the image. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution).

image_sizeselectdefault: null

The size of the generated image. Leave it none to automatically infer from the control image.

Options: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9

num_inference_stepsintegerdefault: 35

The number of inference steps to perform.

guidance_scalenumberdefault: 7.5

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.

strengthnumberdefault: 0.95

determines how much the generated image resembles the initial image

seedintegerdefault: null

The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time.

sync_modebooleandefault: false

If `True`, the media will be returned as a data URI and the output data won't be available in the request history.

num_imagesintegerdefault: 1

The number of images to generate.

lorasjsondefault: []

The list of LoRA weights to use.

embeddingsjsondefault: []

The list of embeddings to use.

enable_safety_checkerbooleandefault: true

If set to true, the safety checker will be enabled.

safety_checker_versionselectdefault: "v1"

The version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model.

Options: v1, v2

enable_prompt_expansionbooleandefault: false

If set to true, the prompt will be expanded with additional prompts.

formatselectdefault: "jpeg"

The format of the generated image.

Options: jpeg, png

request_idtextdefault: ""

An id bound to a request, can be used with response to identify the request itself.

preserve_aspect_ratiobooleandefault: false

If set to true, the aspect ratio of the generated image will be preserved even if the image size is too large. However, if the image is not a multiple of 32 in width or height, it will be resized to the nearest multiple of 32. By default, this snapping to the nearest multiple of 32 will not preserve the aspect ratio. Set crop_output to True, to crop the output to the proper aspect ratio after generating.

crop_outputbooleandefault: false

If set to true, the output cropped to the proper aspect ratio after generating.

openpose_image_urlfiledefault: null

The URL of the control image.

openpose_preprocessbooleandefault: true

Whether to preprocess the openpose image.

depth_image_urlfiledefault: null

The URL of the control image.

depth_preprocessbooleandefault: true

Whether to preprocess the depth image.

teed_image_urlfiledefault: null

The URL of the control image.

teed_preprocessbooleandefault: true

Whether to preprocess the teed image.

canny_image_urlfiledefault: null

The URL of the control image.

canny_preprocessbooleandefault: true

Whether to preprocess the canny image.

normal_image_urlfiledefault: null

The URL of the control image.

normal_preprocessbooleandefault: true

Whether to preprocess the normal image.

segmentation_image_urlfiledefault: null

The URL of the control image.

segmentation_preprocessbooleandefault: true

Whether to preprocess the segmentation image.

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