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Enhance image resolution and quality with high-res sampling and advanced upscaling for AI artists.
The BMAB KSamplerHiresFixWithUpscaler node is designed to enhance the resolution and quality of your images by combining high-resolution sampling with advanced upscaling techniques. This node is particularly useful for AI artists who want to improve the details and clarity of their generated images. By integrating both high-resolution sampling and upscaling in a single node, it simplifies the workflow and ensures that the final output is of superior quality. The node leverages various upscaling methods to provide flexibility and control over the final image quality, making it an essential tool for achieving professional-grade results.
This parameter represents the BMAB bind object, which contains the initial image data and context required for processing. It is essential for the node to function as it provides the base image and relevant metadata.
Defines the number of sampling steps to be performed. More steps generally result in higher quality images but will take longer to process. The default value is 20, with a minimum of 0 and a maximum of 10000.
This parameter controls the classifier-free guidance scale, which influences the strength of the guidance during sampling. A higher value can lead to more detailed images but may also introduce artifacts. The default value is 8.0, with a range from 0.0 to 100.0.
Specifies the name of the sampler to be used. Options include various samplers provided by comfy.samplers.KSampler. The default option is 'Use same sampler'.
Determines the scheduler to be used for the sampling process. Options include various schedulers provided by comfy.samplers.KSampler. The default option is 'Use same scheduler'.
Controls the amount of denoising applied during the sampling process. A value of 1.0 means full denoising, while lower values retain more of the original noise. The default value is 0.4, with a range from 0.0 to 1.0.
Specifies the scaling factor for upscaling the image. The default value is 2.0, with a range from 0 to 4.0.
Defines the width of the output image. The default value is 512 pixels, with a minimum of 0 and a maximum defined by nodes.MAX_RESOLUTION.
Defines the height of the output image. The default value is 512 pixels, with a minimum of 0 and a maximum defined by nodes.MAX_RESOLUTION.
Indicates the number of blocks to be used in the high-resolution fix process. The default value is 3, with a range from 1 to 32.
Specifies the starting percentage of the high-resolution fix process. The default value is 0.0, with a range from 0.0 to 1.0.
Specifies the ending percentage of the high-resolution fix process. The default value is 0.35, with a range from 0.0 to 1.0.
A boolean parameter that determines whether to downscale the image after skipping certain steps. The default value is True.
Specifies the method to be used for downscaling the image. Options include "bicubic", "nearest-exact", "bilinear", "area", and "bislerp".
Specifies the method to be used for upscaling the image. Options include "bicubic", "nearest-exact", "bilinear", "area", and "bislerp".
An optional parameter that allows you to provide an initial image for processing. If not provided, the image from the bind object will be used.
An optional parameter for providing a BMAB lora object, which can be used to apply additional modifications during the sampling process.
This output parameter returns the updated BMAB bind object, which contains the processed image data and context. It is essential for further processing or saving the final image.
This output parameter provides the final upscaled and high-resolution fixed image. It is the main output that you will use for your artistic projects, ensuring enhanced details and clarity.
upscale_method
options to find the best quality for your specific image.steps
parameter to balance between processing time and image quality.denoise
parameter to control the level of detail and noise in the final image.scale
parameter to achieve the desired resolution without losing image quality.© Copyright 2024 RunComfy. All Rights Reserved.