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Manage and apply revision settings for AI-generated images, fine-tune parameters for two stages, achieve precise results.
The Revision Settings Pipe (JPS) is designed to manage and apply various revision settings to your AI-generated images. This node allows you to fine-tune the cropping, interpolation, and strength parameters for two different revision stages, providing you with greater control over the final output. By adjusting these settings, you can achieve more precise and desirable results in your image processing tasks. The node is particularly useful for artists looking to refine their images through multiple stages of revision, ensuring that each stage is optimized for the best possible outcome.
This parameter is a tuple that includes various settings for the revision process. It consists of multiple elements that control different aspects of the image revision, such as cropping resolution, interpolation methods, and strength parameters for two revision stages. Each element in the tuple has a specific role in determining how the image will be processed during the revision stages. The exact elements and their functions are as follows:
crop_res
: An integer representing the cropping resolution.crop_intpol
: A string indicating the interpolation method, which can be one of the following: "lanczos", "nearest", "bilinear", "bicubic", "area", "nearest-exact".rev1_crop
: A string specifying the crop position for the first revision stage, which can be "center", "top", "bottom", "left", or "right".rev1_offset
: An integer representing the offset for the first revision stage.rev2_crop
: A string specifying the crop position for the second revision stage, which can be "center", "top", "bottom", "left", or "right".rev2_offset
: An integer representing the offset for the second revision stage.rev1_strength
: A float indicating the strength of the first revision stage.rev2_strength
: A float indicating the strength of the second revision stage.rev1_noiseaug
: A float representing the noise augmentation for the first revision stage.rev2_noiseaug
: A float representing the noise augmentation for the second revision stage.This output is an integer that represents the cropping resolution applied during the revision process. It determines the level of detail and precision in the cropped image.
This output is a string that indicates the interpolation method used during the revision process. The available options are "lanczos", "nearest", "bilinear", "bicubic", "area", and "nearest-exact". Each method affects the image quality and processing time differently.
This output is a string specifying the crop position for the first revision stage. It can be "center", "top", "bottom", "left", or "right", and it determines the area of the image that will be focused on during the first revision.
This output is an integer representing the offset for the first revision stage. It adjusts the position of the cropped area, allowing for fine-tuning of the image composition.
This output is a string specifying the crop position for the second revision stage. Similar to rev1_crop
, it can be "center", "top", "bottom", "left", or "right", and it determines the area of the image that will be focused on during the second revision.
This output is an integer representing the offset for the second revision stage. It adjusts the position of the cropped area for the second revision, allowing for further fine-tuning of the image composition.
This output is a float indicating the strength of the first revision stage. It controls the intensity of the applied changes during the first revision.
This output is a float indicating the strength of the second revision stage. It controls the intensity of the applied changes during the second revision.
This output is a float representing the noise augmentation for the first revision stage. It adds a specified amount of noise to the image during the first revision, which can help in achieving a more natural look.
This output is a float representing the noise augmentation for the second revision stage. Similar to rev1_noiseaug
, it adds a specified amount of noise to the image during the second revision.
rev1_strength
and rev2_strength
parameters to control the intensity of the revisions. Higher values will result in more pronounced changes.rev1_noiseaug
and rev2_noiseaug
parameters to add noise to your images, which can help in achieving a more natural and less artificial look.© Copyright 2024 RunComfy. All Rights Reserved.