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Enhance image resolution with advanced upscaling methods for high-quality artwork creation.
The BMAB Upscaler node is designed to enhance the resolution of your images using various upscaling methods. This node is particularly useful for AI artists who want to improve the quality and detail of their images without losing the original essence. By leveraging advanced resampling techniques, the BMAB Upscaler allows you to scale your images up to four times their original size, making it ideal for creating high-resolution artwork. The node supports multiple upscaling methods, including LANCZOS, NEAREST, BILINEAR, and BICUBIC, each offering different benefits in terms of sharpness and smoothness. Whether you are looking to enlarge your images for printing or digital display, the BMAB Upscaler provides a versatile and efficient solution.
This parameter allows you to choose the method used for upscaling your image. The available options are LANCZOS
, NEAREST
, BILINEAR
, and BICUBIC
. Each method has its own characteristics: LANCZOS
is great for high-quality results with minimal artifacts, NEAREST
is the simplest and fastest but may produce blocky images, BILINEAR
offers a balance between speed and quality, and BICUBIC
provides smoother results. Selecting the appropriate method can significantly impact the final image quality.
This parameter defines the scaling factor for the image. 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 will scale the image by the specified factor, allowing you to enlarge or reduce the image size as needed. For example, a scale of 2.0 will double the dimensions of the image.
This parameter sets the target width of the upscaled image. It is an integer value with a default of 512 pixels, a minimum of 32 pixels, and a maximum defined by the node's maximum resolution capability. Adjusting the width allows you to specify the exact horizontal dimension of the output image.
This parameter sets the target height of the upscaled image. Similar to the width parameter, it is an integer value with a default of 512 pixels, a minimum of 32 pixels, and a maximum defined by the node's maximum resolution capability. Adjusting the height allows you to specify the exact vertical dimension of the output image.
This optional parameter accepts a BMAB bind
object, which contains the pixel data to be upscaled. If an image is not provided, the node will use the pixel data from this bind object.
This optional parameter accepts an IMAGE
object. If provided, the node will use this image for upscaling instead of the pixel data from the bind object. This allows for flexibility in choosing the source of the image to be upscaled.
This output parameter returns a BMAB bind
object containing the upscaled pixel data. This bind object can be used in subsequent nodes for further processing or analysis.
This output parameter returns the upscaled IMAGE
. The image is resized according to the specified width, height, and scaling factor, and is ready for use in your projects or for further manipulation.
LANCZOS
method, especially when dealing with high-resolution images that require minimal artifacts.NEAREST
method is the fastest option.scale
parameter carefully to avoid excessively large images that may consume a lot of memory and processing power.width
and height
parameters to fine-tune the dimensions of your output image, especially if you have specific size requirements.scale
factor or the width
and height
parameters to decrease the size of the output image. Alternatively, try using a less memory-intensive upscaling method like NEAREST
.bind
object nor an image
is provided as input.BMAB bind
object or an IMAGE
object to the node to proceed with the upscaling process.© Copyright 2024 RunComfy. All Rights Reserved.