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ControlNet SDXL

fast-sdxl-controlnet-canny-inpainting

Image editby infery

Generate Images with ControlNet.

images

Details

Accepts
image

Pricing

Price
0.156 cr / second

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 Stable Diffusion will output the same image every time.
lorasarrayThe list of LoRA weights to use.
formatstringenum: jpeg, pngThe format of the generated image.
promptrequiredstringThe prompt to use for generating the image. Be as descriptive as possible for best results.
mask_urlrequiredstringThe URL of the mask to use for inpainting.
strengthnumberdetermines how much the generated image resembles the initial image
image_urlrequiredstringThe URL of the image to use as a starting point for the 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.
embeddingsarrayThe list of embeddings to use.
image_sizeThe size of the generated image. Leave it none to automatically infer from the control image.
num_imagesintegerThe number of images to generate.
request_idstring An id bound to a request, can be used with response to identify the request itself.
expand_promptbooleanIf set to true, the prompt will be expanded with additional prompts.
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.
negative_promptstring 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).
control_image_urlrequiredstringThe URL of the control image.
num_inference_stepsintegerThe number of inference steps to perform.
enable_safety_checkerbooleanIf set to true, the safety checker will be enabled.
safety_checker_versionstringenum: v1, v2The version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model.
controlnet_conditioning_scalenumberThe scale of the controlnet conditioning.

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.