ComfyUI Node: LoRA Reporting

LoRA Reporting:

DM_LoRAReporting is a specialized node designed to generate comprehensive reports on LoRA (Low-Rank Adaptation) models. This node is particularly useful for AI artists who need detailed insights into their LoRA models, such as key counts, parameters, metadata, and tags. By providing various types of reports, DM_LoRAReporting helps you understand the structure and characteristics of your LoRA models, enabling better management and optimization of these models for your creative projects. Whether you need a summary of the model's size, detailed metadata, or a list of tags, this node offers a flexible and user-friendly way to access this information.

LoRA Reporting Input Parameters:

lora_name

This parameter specifies the name of the LoRA model you want to generate a report for. It is essential for locating and loading the correct LoRA file from the designated folder. The available options are dynamically generated from the list of LoRA files in your system.

report

This parameter determines the type of report you want to generate. The available options are "tags," "size," and "details." The default value is "tags." Choosing "tags" will provide a list of tags associated with the LoRA model, "size" will give you a summary of key counts and parameters, and "details" will offer a detailed JSON representation of the model's metadata.

limit

This parameter is used when the "tags" report type is selected. It specifies the maximum number of tags to include in the report. The default value is 10, with a minimum of 1 and a maximum of 100. Adjusting this parameter allows you to control the verbosity of the tags report.

LoRA Reporting Output Parameters:

STRING

The primary output of the node is a string that contains the requested report. Depending on the selected report type, this string can be a list of tags, a summary of the model's size, or a detailed JSON representation of the metadata.

IMAGE

This output is reserved for future use and currently does not provide any data. It is included in the return types for potential expansion of the node's capabilities.

LoRA Reporting Usage Tips:

• To get a quick overview of your LoRA model, use the "size" report type. This will give you key counts and parameters, which are useful for understanding the model's complexity.
• If you need detailed information about the model's metadata, choose the "details" report type. This will provide a JSON representation that you can further analyze or use in other applications.
• Use the "tags" report type to get a list of the most frequent tags associated with your LoRA model. Adjust the "limit" parameter to control how many tags are included in the report.

LoRA Reporting Common Errors and Solutions:

Could not load LoRA file: <lora_name>

• Explanation: This error occurs when the specified LoRA file cannot be found or loaded.
• Solution: Ensure that the lora_name parameter is correctly specified and that the file exists in the designated folder.

Unknown report: <report>

• Explanation: This error occurs when an invalid report type is specified.
• Solution: Make sure to use one of the valid report types: "tags," "size," or "details."

No tags

• Explanation: This message indicates that the selected LoRA model does not have any associated tags.
• Solution: Verify that the LoRA model has been correctly tagged. If not, consider adding tags to the model metadata.