Kharioki

blur-faces

kharioki

1

The blur-faces model is a simple AI model that applies a blur filter to input images. This model is similar to other image processing models like ifan-defocus-deblur, which removes defocus blur, and illusions, which can create various visual illusions. The model was created by kharioki. Model inputs and outputs The blur-faces model takes two inputs: an image and a blur radius value. The image is the input that will have a blur filter applied, and the blur radius determines the strength of the blur effect. The model outputs the modified image with the blur filter applied. Inputs Image**: The input image that will have a blur filter applied. Blur**: The radius of the blur filter to apply to the input image. Outputs Output**: The modified image with the blur filter applied. Capabilities The blur-faces model can apply a blur filter to an input image. This can be useful for tasks like obfuscating sensitive information in an image or creating a soft, dreamy effect. What can I use it for? The blur-faces model can be used for a variety of image processing tasks, such as: Blurring sensitive information in images before sharing them Creating a soft, blurred background in portrait photos Simulating a shallow depth of field effect in images Things to try You could try experimenting with different blur radii to achieve different levels of blurring in your images. Additionally, you could combine this model with other image processing models, such as masked-upscaler, to selectively blur only certain areas of an image.

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