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Enhance photo stylization with ControlNet models for refined AI-generated art.
The MZ_StylizePhotoControlNetApply
node is designed to enhance your photo stylization process by integrating ControlNet models. This node allows you to apply various ControlNet models to your images, which can significantly improve the quality and style of the output. By leveraging pre-trained ControlNet models, you can achieve more refined and controlled stylization effects, making your AI-generated art more sophisticated and visually appealing. The node dynamically loads the required ControlNet models based on your input parameters, ensuring a seamless and efficient workflow.
This parameter allows you to specify the ControlNet model to be used for the "tile" type. You can choose from a list of available ControlNet models or select "none" if you do not wish to apply any ControlNet model for this type. The available options are dynamically loaded from the "controlnet" folder. Selecting an appropriate ControlNet model can enhance the tiling effect in your stylized photo.
This parameter allows you to specify the ControlNet model to be used for the "canny" type. Similar to the tile_control_net_name, you can choose from a list of available ControlNet models or select "none" if you do not wish to apply any ControlNet model for this type. The available options are dynamically loaded from the "controlnet" folder. Using a suitable ControlNet model can improve the edge detection and overall sharpness of your stylized photo.
This output parameter returns a dictionary containing the loaded ControlNet models based on the specified input parameters. Each key in the dictionary corresponds to a ControlNet type (e.g., "tile" or "canny"), and the value is the loaded ControlNet model. This output is crucial for further processing and applying the ControlNet models to your images, ensuring that the desired stylization effects are achieved.
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