ComfyUI Node: Load LoRA Tag

Load LoRA Tag:

The LoraTagLoader node is designed to facilitate the loading and application of LoRA (Low-Rank Adaptation) tags within your AI art generation workflow. This node parses text inputs to identify and load specific LoRA models, which can then be applied to both the model and clip components of your AI system. By automating the detection and loading of LoRA tags, this node streamlines the process of enhancing your models with additional features or styles, making it easier to experiment with different LoRA configurations. The primary goal of the LoraTagLoader is to provide a seamless and efficient way to integrate LoRA models into your creative projects, ensuring that you can focus more on the artistic aspects rather than the technical details.

Load LoRA Tag Input Parameters:

model

This parameter represents the base model to which the LoRA tags will be applied. It is essential for defining the primary model that will be enhanced or modified by the LoRA tags. The model parameter ensures that the correct base model is used in conjunction with the LoRA tags to achieve the desired output.

clip

This parameter refers to the clip component that will be used alongside the model. The clip is crucial for processing and interpreting the text inputs, and it works in tandem with the model to apply the LoRA tags effectively. Ensuring the correct clip is used is vital for maintaining the integrity and accuracy of the generated outputs.

text

The text parameter is a multiline string input that contains the text from which LoRA tags will be extracted. This text is parsed to identify and load the appropriate LoRA models based on the tags present. The text input allows for flexible and dynamic specification of LoRA tags, enabling users to easily modify and experiment with different configurations.

Load LoRA Tag Output Parameters:

MODEL

This output represents the modified model after the LoRA tags have been applied. It reflects the enhancements or changes made to the base model, incorporating the features or styles specified by the LoRA tags. The MODEL output is essential for further processing or generation tasks that utilize the enhanced model.

CLIP

This output represents the modified clip component after the LoRA tags have been applied. Similar to the MODEL output, the CLIP output incorporates the changes specified by the LoRA tags, ensuring that the clip component is aligned with the modified model. This output is crucial for maintaining consistency and accuracy in the generated outputs.

STRING

This output is the plain text version of the input text, with the LoRA tags removed. It provides a cleaned version of the input text, which can be useful for further processing or analysis. The STRING output ensures that any additional text processing tasks can be performed without interference from the LoRA tags.

Load LoRA Tag Usage Tips:

• Ensure that your text input contains correctly formatted LoRA tags to avoid parsing errors and ensure the desired models are loaded.
• Use descriptive and unique names for your LoRA models to prevent conflicts and ensure the correct models are identified and applied.
• Experiment with different weights for the model and clip components to fine-tune the impact of the LoRA tags on your outputs.

Load LoRA Tag Common Errors and Solutions:

ValueError when parsing weights

• Explanation: This error occurs when the weights specified in the LoRA tags are not valid floating-point numbers.
• Solution: Ensure that the weights in your LoRA tags are correctly formatted as numbers. For example, use lora:example:0.5 instead of lora:example:half.

bypassed lora tag: (type, name, wModel, wClip) >> None

• Explanation: This message indicates that a LoRA tag was detected but the corresponding LoRA model file could not be found.
• Solution: Verify that the LoRA model files are correctly named and located in the appropriate directory. Ensure that the names in the tags match the filenames of the LoRA models.

detected lora tag: (type, name, wModel, wClip) >> lora_name

• Explanation: This message confirms that a LoRA tag was successfully detected and the corresponding LoRA model file was found.
• Solution: No action needed. This is an informational message indicating successful detection and loading of a LoRA tag.