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Preprocesses images for Poser apps in Flowty CRM by combining, resizing, and optimizing for pose tasks and 3D models.
The CRMPreprocessForPoser node is designed to preprocess images for use in poser applications, specifically within the Flowty CRM framework. This node takes a reference image and a corresponding mask, processes them by combining and resizing the content, and then prepares the image for further use in poser tasks. The primary goal of this node is to ensure that the input images are correctly formatted and optimized for subsequent processing steps, such as pose estimation or 3D model generation. By handling tasks like resizing, adding backgrounds, and ensuring the image is in the correct format, this node simplifies the preprocessing workflow and ensures consistency in the input data, which is crucial for achieving high-quality results in poser applications.
The reference_image
parameter is the main image that you want to preprocess. It is expected to be an image file that serves as the base for further processing. This image will be combined with the mask and resized according to the specified foreground ratio. The quality and resolution of this image can significantly impact the final output, so it is recommended to use high-quality images.
The reference_mask
parameter is a mask image that corresponds to the reference_image
. This mask is used to isolate the foreground from the background, allowing the node to focus on the relevant parts of the image. The mask should be a binary image where the foreground is typically represented by white pixels and the background by black pixels. This helps in accurately combining the mask with the reference image.
The foreground_ratio
parameter controls the ratio of the foreground content in the final processed image. It is a floating-point value that ranges from 0.5 to 1, with a default value of 1. This parameter allows you to adjust the size of the foreground relative to the entire image, which can be useful for ensuring that the main subject of the image is appropriately scaled. Adjusting this ratio can help in achieving the desired focus and composition in the final output.
The processed
output parameter is the final preprocessed image that is ready for use in poser applications. This image has been combined with the mask, resized according to the foreground ratio, and formatted to ensure compatibility with subsequent processing steps. The output is a tensor that can be directly used in further nodes within the Flowty CRM framework. This processed image ensures that the input data is consistent and optimized for high-quality poser results.
reference_image
and reference_mask
are of the same dimensions to avoid any alignment issues during processing.reference_image
to achieve better results in the final output.foreground_ratio
to focus on the main subject of the image, especially if the subject occupies a small portion of the original image.reference_mask
accurately represents the foreground and background to ensure proper isolation and combination with the reference image.reference_image
and reference_mask
do not match.reference_image
and reference_mask
have the same width and height before inputting them into the node.foreground_ratio
value is outside the allowed range (0.5 to 1).foreground_ratio
to be within the range of 0.5 to 1.0.© Copyright 2024 RunComfy. All Rights Reserved.