ComfyUI > Nodes > comfy_Pond_Nodes > 🐳Clothing Random Batch

ComfyUI Node: 🐳Clothing Random Batch

Class Name

ClothingSelectorBatch

Category
🐳Pond/text
Author
Pondowner857 (Account age: 730days)
Extension
comfy_Pond_Nodes
Latest Updated
2026-01-28
Github Stars
0.04K

How to Install comfy_Pond_Nodes

Install this extension via the ComfyUI Manager by searching for comfy_Pond_Nodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter comfy_Pond_Nodes in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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🐳Clothing Random Batch Description

Generates diverse clothing combinations using style presets and customizable category weights.

🐳Clothing Random Batch:

The ClothingSelectorBatch node is designed to generate multiple sets of clothing combinations, offering a versatile tool for creating diverse fashion ensembles. This node is particularly beneficial for AI artists and designers who wish to explore a variety of clothing styles and combinations without manually selecting each piece. By leveraging predefined style presets and customizable category weights, the node can produce random yet coherent clothing batches that align with specific fashion themes or personal preferences. The node's ability to incorporate essential tags ensures that certain clothing items are always included, providing a balance between randomness and user control. Overall, the ClothingSelectorBatch node serves as a powerful asset for generating creative and varied clothing suggestions efficiently.

🐳Clothing Random Batch Input Parameters:

batch_count

This parameter determines the number of clothing batches to generate. It allows you to specify how many different sets of clothing combinations you want to create in one execution. The minimum value is 1, the maximum is 10, and the default is set to 1.

tags_per_batch

This parameter specifies the number of clothing tags to include in each batch. It controls the complexity and variety of each clothing combination. The minimum value is 1, the maximum is 10, and the default is set to 3.

category_weights

This parameter allows you to define the weight or importance of each clothing category in the selection process. It is a string formatted as "category:weight", where the sum of all weights should equal 1. This influences the likelihood of each category being selected in the clothing batches. The default value is "连衣裙:0.2, 上衣:0.2, 下装:0.2, 泳装:0.1, 运动装:0.1, 内衣:0.1, 外套:0.05, 特殊服装:0.05".

style_preset

This parameter provides a selection of predefined style presets that influence the clothing selection process. Options include "随机" (Random), "休闲" (Casual), "正装" (Formal), "运动" (Sporty), "性感" (Sexy), and "日常" (Everyday). The default option is "随机", which applies no specific style bias.

ensure_tags

This parameter allows you to specify certain tags that must be included in every clothing batch. It is a comma-separated string of tags, ensuring that specific clothing items are always part of the generated combinations. The default value is an empty string, meaning no mandatory tags are set.

seed

This parameter sets the seed for the random number generator, ensuring reproducibility of results. A value of -1 indicates that the seed is not set, allowing for different results each time. The minimum value is -1, the maximum is 2147483647, and the default is -1.

🐳Clothing Random Batch Output Parameters:

batch_1

This output represents the first generated clothing batch, containing a set of clothing tags based on the input parameters.

batch_2

This output represents the second generated clothing batch, containing a set of clothing tags based on the input parameters.

batch_3

This output represents the third generated clothing batch, containing a set of clothing tags based on the input parameters.

batch_4

This output represents the fourth generated clothing batch, containing a set of clothing tags based on the input parameters.

batch_5

This output represents the fifth generated clothing batch, containing a set of clothing tags based on the input parameters.

batch_6

This output represents the sixth generated clothing batch, containing a set of clothing tags based on the input parameters.

batch_7

This output represents the seventh generated clothing batch, containing a set of clothing tags based on the input parameters.

batch_8

This output represents the eighth generated clothing batch, containing a set of clothing tags based on the input parameters.

batch_9

This output represents the ninth generated clothing batch, containing a set of clothing tags based on the input parameters.

batch_10

This output represents the tenth generated clothing batch, containing a set of clothing tags based on the input parameters.

🐳Clothing Random Batch Usage Tips:

  • To ensure specific clothing items are always included in your batches, use the ensure_tags parameter to specify mandatory tags.
  • Experiment with different style_preset options to quickly generate clothing combinations that fit a particular theme or occasion.
  • Adjust the category_weights to emphasize certain clothing categories over others, allowing for more tailored and thematic batch generation.

🐳Clothing Random Batch Common Errors and Solutions:

Invalid category_weights format

  • Explanation: The category_weights parameter must be formatted correctly as "category:weight" pairs, and the weights should sum to 1. - Solution: Double-check the format and ensure that all weights add up to 1. Correct any syntax errors in the string.

Seed value out of range

  • Explanation: The seed parameter must be within the specified range of -1 to 2147483647. - Solution: Ensure the seed value is within the acceptable range. If you want random results, use the default value of -1.

Exceeding maximum batch count

  • Explanation: The batch_count parameter exceeds the maximum allowed value of 10.
  • Solution: Reduce the batch_count to 10 or fewer to comply with the node's constraints.

🐳Clothing Random Batch Related Nodes

Go back to the extension to check out more related nodes.
comfy_Pond_Nodes
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🐳Clothing Random Batch