ComfyUI Node: Cozy Human Parser ATR

Cozy Human Parser ATR:

The Cozy Human Parser ATR node is designed to facilitate the segmentation and parsing of human images into distinct components, making it an invaluable tool for AI artists working on projects that require detailed human image analysis. This node leverages advanced machine learning techniques to identify and separate various parts of the human body and clothing, such as the background, hat, hair, sunglasses, upper clothes, skirt, pants, dress, belt, shoes, face, legs, arms, bag, and scarf. By providing precise segmentation, it allows for more refined and targeted image manipulation, enhancing the quality and creativity of your AI-generated artwork. The node is particularly beneficial for tasks that involve fashion design, virtual try-ons, and character customization, offering a high level of detail and accuracy in parsing human figures.

Cozy Human Parser ATR Input Parameters:

image

The image parameter is the primary input for the node, representing the human image that you want to parse. This image should be in a format that the node can process, typically a tensor or an array. The quality and resolution of the input image can significantly impact the accuracy of the parsing results. Ensure that the image is clear and well-lit for optimal performance.

background

The background parameter is a boolean flag that indicates whether the background of the image should be included in the parsing process. Setting this to True will include the background as a separate component in the output mask, while False will exclude it. This parameter helps in isolating the human figure from the background for more focused editing.

hat

The hat parameter is a boolean flag that specifies whether the hat component should be parsed from the image. If set to True, the node will identify and separate the hat from the rest of the image. This is useful for applications that involve headwear customization or virtual try-ons.

hair

The hair parameter is a boolean flag that determines whether the hair component should be parsed. Setting this to True will enable the node to segment the hair, allowing for detailed hair styling and color adjustments in your projects.

sunglasses

The sunglasses parameter is a boolean flag that indicates whether sunglasses should be parsed from the image. When set to True, the node will identify and separate sunglasses, which is useful for virtual accessory try-ons and fashion design.

upper_clothes

The upper_clothes parameter is a boolean flag that specifies whether the upper clothes component should be parsed. If set to True, the node will segment the upper clothing, enabling detailed customization and design of tops, shirts, and jackets.

skirt

The skirt parameter is a boolean flag that determines whether the skirt component should be parsed. Setting this to True will enable the node to identify and separate skirts, which is beneficial for fashion design and virtual try-ons involving skirts.

pants

The pants parameter is a boolean flag that indicates whether pants should be parsed from the image. When set to True, the node will segment pants, allowing for detailed customization and design of trousers and jeans.

dress

The dress parameter is a boolean flag that specifies whether the dress component should be parsed. If set to True, the node will identify and separate dresses, which is useful for fashion design and virtual try-ons involving dresses.

belt

The belt parameter is a boolean flag that determines whether the belt component should be parsed. Setting this to True will enable the node to segment belts, allowing for detailed customization and design of this accessory.

left_shoe

The left_shoe parameter is a boolean flag that indicates whether the left shoe should be parsed from the image. When set to True, the node will identify and separate the left shoe, which is useful for virtual footwear try-ons and design.

right_shoe

The right_shoe parameter is a boolean flag that specifies whether the right shoe component should be parsed. If set to True, the node will segment the right shoe, enabling detailed customization and design of footwear.

face

The face parameter is a boolean flag that determines whether the face component should be parsed. Setting this to True will enable the node to identify and separate the face, which is beneficial for applications involving facial recognition and customization.

left_leg

The left_leg parameter is a boolean flag that indicates whether the left leg should be parsed from the image. When set to True, the node will segment the left leg, allowing for detailed customization and design of legwear.

right_leg

The right_leg parameter is a boolean flag that specifies whether the right leg component should be parsed. If set to True, the node will identify and separate the right leg, which is useful for virtual try-ons and design involving legwear.

left_arm

The left_arm parameter is a boolean flag that determines whether the left arm component should be parsed. Setting this to True will enable the node to segment the left arm, allowing for detailed customization and design of sleeves and arm accessories.

right_arm

The right_arm parameter is a boolean flag that indicates whether the right arm should be parsed from the image. When set to True, the node will identify and separate the right arm, which is useful for virtual try-ons and design involving sleeves and arm accessories.

bag

The bag parameter is a boolean flag that specifies whether the bag component should be parsed. If set to True, the node will segment bags, enabling detailed customization and design of this accessory.

scarf

The scarf parameter is a boolean flag that determines whether the scarf component should be parsed. Setting this to True will enable the node to identify and separate scarves, allowing for detailed customization and design of this accessory.

Cozy Human Parser ATR Output Parameters:

mask_image

The mask_image output parameter is a tensor representing the binary mask of the parsed components. Each component specified in the input parameters will be included in this mask, allowing for precise isolation and manipulation of individual parts of the human figure. This mask is essential for tasks that require detailed editing and customization of specific components.

output_img

The output_img output parameter is a tensor representing the original image with the parsed components highlighted. This output provides a visual reference for the parsed components, making it easier to understand and verify the segmentation results. It is useful for applications that require a clear visualization of the parsed components for further processing or analysis.

Cozy Human Parser ATR Usage Tips:

• Ensure that the input image is clear and well-lit to achieve the best parsing results.
• Use the boolean flags to selectively parse only the components you need, which can save processing time and resources.
• Combine the mask_image output with image editing tools to create customized and detailed modifications to specific parts of the human figure.
• Experiment with different combinations of parsed components to achieve unique and creative results in your AI-generated artwork.

Cozy Human Parser ATR Common Errors and Solutions:

"CUDA device not available"

• Explanation: This error occurs when the node attempts to use a CUDA device for processing, but no compatible device is found.
• Solution: Ensure that your system has a CUDA-compatible GPU installed and that the necessary drivers are correctly configured. If a GPU is not available, the node will default to using the CPU, but this may result in slower processing times.

"Input image format not supported"

• Explanation: This error occurs when the input image is in a format that the node cannot process.
• Solution: Convert the input image to a supported format, such as a tensor or an array, before passing it to the node. Ensure that the image dimensions match the expected input size of 512x512 pixels.

"Invalid boolean flag value"

• Explanation: This error occurs when a non-boolean value is provided for one of the boolean flag parameters.
• Solution: Ensure that all boolean flag parameters (e.g., background, hat, hair) are set to either True or False. Double-check your input values to avoid any non-boolean entries.