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Enhance image resolution using advanced machine learning models for high-quality upscaling without loss of detail.
The BMAB Upscale With Model node is designed to enhance the resolution of images using advanced machine learning models. This node leverages pre-trained upscale models to intelligently increase the size of your images while preserving or even enhancing their quality. It is particularly useful for AI artists who need to upscale their artwork without losing detail or introducing artifacts. By using this node, you can achieve high-quality upscaling results that are superior to traditional methods, making it an essential tool for creating detailed and high-resolution images.
This parameter specifies the name of the pre-trained upscale model to be used for enhancing the image resolution. The available models can be selected from a list provided by the system. Choosing the right model can significantly impact the quality of the upscaled image, as different models may be optimized for different types of images or styles.
The scale parameter determines the factor by which the image will be upscaled. It is a floating-point value with a default of 2.0, a minimum of 0, and a maximum of 4.0. Adjusting this value allows you to control how much larger the output image will be compared to the input image. For example, a scale of 2.0 will double the dimensions of the image.
This parameter sets the target width of the upscaled image in pixels. It is an integer value with a default of 512, a minimum of 0, and a maximum defined by the system's maximum resolution. This allows you to specify the exact width you want for your upscaled image, providing precise control over the output dimensions.
Similar to the width parameter, the height parameter sets the target height of the upscaled image in pixels. It also has a default value of 512, a minimum of 0, and a maximum defined by the system's maximum resolution. This ensures that you can define the exact height for your upscaled image.
This optional parameter allows you to bind the upscaling process to a specific BMAB bind object. This can be useful for maintaining consistency across multiple operations or for integrating the upscaling process into a larger workflow.
This optional parameter allows you to provide the image that you want to upscale. If not provided, the node will use the image from the bind object. This flexibility allows you to either directly input an image or use one that is already part of your workflow.
The BMAB bind output is a reference to the bind object used during the upscaling process. This allows you to maintain continuity in your workflow and use the upscaled image in subsequent operations without losing context.
The image output is the upscaled version of the input image. This high-resolution image is the result of applying the selected upscale model and specified parameters, providing you with a detailed and enhanced version of your original image.
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