ComfyUI Node: Cozy Human Parser LIP

Cozy Human Parser LIP:

The Cozy Human Parser LIP node is designed to facilitate the segmentation and parsing of human images into distinct components such as clothing items and body parts. This node leverages advanced machine learning techniques to accurately identify and separate various elements within an image, making it an invaluable tool for AI artists who need to manipulate or analyze specific parts of human figures in their artwork. By providing a detailed mask of different human components, the Cozy Human Parser LIP node allows for precise editing, customization, and enhancement of images, thereby streamlining the creative process and enhancing the quality of the final output.

Cozy Human Parser LIP Input Parameters:

image

This parameter accepts an image input 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 image can impact the accuracy of the parsing.

background

This boolean parameter determines whether the background of the image should be included in the mask. Setting it to True will include the background, while False will exclude it. The default value is False.

hat

This boolean parameter specifies whether the hat component should be included in the mask. Setting it to True will include hats in the parsing process. The default value is False.

hair

This boolean parameter specifies whether the hair component should be included in the mask. Setting it to True will include hair in the parsing process. The default value is False.

glove

This boolean parameter specifies whether the glove component should be included in the mask. Setting it to True will include gloves in the parsing process. The default value is False.

sunglasses

This boolean parameter specifies whether the sunglasses component should be included in the mask. Setting it to True will include sunglasses in the parsing process. The default value is False.

upper_clothes

This boolean parameter specifies whether the upper clothes component should be included in the mask. Setting it to True will include upper clothes in the parsing process. The default value is False.

dress

This boolean parameter specifies whether the dress component should be included in the mask. Setting it to True will include dresses in the parsing process. The default value is False.

coat

This boolean parameter specifies whether the coat component should be included in the mask. Setting it to True will include coats in the parsing process. The default value is False.

socks

This boolean parameter specifies whether the socks component should be included in the mask. Setting it to True will include socks in the parsing process. The default value is False.

pants

This boolean parameter specifies whether the pants component should be included in the mask. Setting it to True will include pants in the parsing process. The default value is False.

jumpsuits

This boolean parameter specifies whether the jumpsuits component should be included in the mask. Setting it to True will include jumpsuits in the parsing process. The default value is False.

scarf

This boolean parameter specifies whether the scarf component should be included in the mask. Setting it to True will include scarves in the parsing process. The default value is False.

skirt

This boolean parameter specifies whether the skirt component should be included in the mask. Setting it to True will include skirts in the parsing process. The default value is False.

face

This boolean parameter specifies whether the face component should be included in the mask. Setting it to True will include faces in the parsing process. The default value is False.

left_arm

This boolean parameter specifies whether the left arm component should be included in the mask. Setting it to True will include the left arm in the parsing process. The default value is False.

right_arm

This boolean parameter specifies whether the right arm component should be included in the mask. Setting it to True will include the right arm in the parsing process. The default value is False.

left_leg

This boolean parameter specifies whether the left leg component should be included in the mask. Setting it to True will include the left leg in the parsing process. The default value is False.

right_leg

This boolean parameter specifies whether the right leg component should be included in the mask. Setting it to True will include the right leg in the parsing process. The default value is False.

left_shoe

This boolean parameter specifies whether the left shoe component should be included in the mask. Setting it to True will include the left shoe in the parsing process. The default value is False.

right_shoe

This boolean parameter specifies whether the right shoe component should be included in the mask. Setting it to True will include the right shoe in the parsing process. The default value is False.

Cozy Human Parser LIP Output Parameters:

mask

The mask output is a binary image where the selected components are highlighted. This mask can be used to isolate specific parts of the image for further editing or analysis. The mask is returned as a tensor that can be easily manipulated within the AI workflow.

map

The map output is the parsed image with the selected components visually distinguished. This output helps in visualizing the segmentation results and can be used directly in your artwork or for further processing. The map is returned as an RGB image.

Cozy Human Parser LIP Usage Tips:

• Ensure that the input image is of high quality and resolution to achieve better parsing accuracy.
• Use the boolean parameters to selectively include only the components you need, which can help in reducing processing time and focusing on specific parts of the image.
• Experiment with different combinations of components to see how they affect the final mask and map outputs.

Cozy Human Parser LIP Common Errors and Solutions:

"CUDA out of memory"

• Explanation: This error occurs when the GPU does not have enough memory to process the image.
• Solution: Try reducing the image size or processing the image on the CPU by ensuring that CUDA is not available.

"Invalid image format"

• Explanation: This error occurs when the input image is not in a supported format.
• Solution: Ensure that the input image is in a standard format like JPEG or PNG.

"Component not found in image"

• Explanation: This error occurs when the selected component is not present in the input image.
• Solution: Verify that the input image contains the components you have selected for parsing.