ComfyUI Node: Cozy Human Parser Pascal

Cozy Human Parser Pascal:

The Cozy Human Parser Pascal node is designed to segment human images into distinct body parts, making it an invaluable tool for AI artists who need precise control over image manipulation and editing. This node leverages advanced parsing techniques to identify and separate various human body parts such as the head, torso, arms, and legs. By providing detailed masks for each body part, it allows for targeted adjustments and enhancements, ensuring that your creative vision can be executed with high accuracy. Whether you are working on digital art, animations, or any project that involves human figures, this node simplifies the process of isolating and editing specific body regions, thereby enhancing your workflow and output quality.

Cozy Human Parser Pascal Input Parameters:

image

This parameter accepts the input image that you want to parse. The image should be in a format that the node can process, typically a standard image file like JPEG or PNG. The quality and resolution of the input image can significantly impact the accuracy of the parsing results.

background

This boolean parameter determines whether the background should be included in the parsing process. If set to True, the background will be considered as a separate segment. The default value is False.

head

This boolean parameter specifies whether the head should be included in the parsing output. If set to True, the node will generate a mask for the head. The default value is False.

torso

This boolean parameter specifies whether the torso should be included in the parsing output. If set to True, the node will generate a mask for the torso. The default value is False.

upper_arms

This boolean parameter specifies whether the upper arms should be included in the parsing output. If set to True, the node will generate a mask for the upper arms. The default value is False.

lower_arms

This boolean parameter specifies whether the lower arms should be included in the parsing output. If set to True, the node will generate a mask for the lower arms. The default value is False.

upper_legs

This boolean parameter specifies whether the upper legs should be included in the parsing output. If set to True, the node will generate a mask for the upper legs. The default value is False.

lower_legs

This boolean parameter specifies whether the lower legs should be included in the parsing output. If set to True, the node will generate a mask for the lower legs. The default value is False.

Cozy Human Parser Pascal Output Parameters:

mask

This output parameter provides the mask of the parsed body parts. The mask is a binary image where the selected body parts are highlighted, allowing for easy isolation and editing in post-processing.

map

This output parameter provides the segmented image map, which visually represents the different body parts identified by the node. This map can be used for reference or further manipulation in your creative projects.

Cozy Human Parser Pascal Usage Tips:

• Ensure that the input image is of high quality and resolution to achieve the best parsing results.
• Use the boolean parameters to selectively parse only the body parts you need, which can save processing time and resources.
• Combine the mask and map outputs to fine-tune your edits and achieve more precise control over the final image.

Cozy Human Parser Pascal Common Errors and Solutions:

"Invalid image format"

• Explanation: The input image is not in a supported format.
• Solution: Convert your image to a standard format like JPEG or PNG and try again.

"Parsing failed: No body parts selected"

• Explanation: None of the body part parameters were set to True.
• Solution: Ensure that at least one body part parameter (e.g., head, torso) is set to True before running the node.

"Output mask is empty"

• Explanation: The node could not detect any of the selected body parts in the input image.
• Solution: Check the quality and resolution of your input image. Ensure that the image clearly shows the human figure and try adjusting the boolean parameters.