ComfyUI Node: Convert prompt and LoRAs

Convert prompt and LoRAs:

The LF_Lora2Prompt node is designed to convert LoRA (Low-Rank Adaptation) tags into a prompt format that can be used in various AI art generation workflows. This node simplifies the process of transforming complex LoRA tags into a structured prompt, making it easier for you to integrate these tags into your creative projects. By automating the conversion, it ensures consistency and accuracy, allowing you to focus more on the artistic aspects rather than the technical details. This node is particularly useful for artists who frequently work with LoRA models and need a streamlined way to incorporate these tags into their prompts.

Convert prompt and LoRAs Input Parameters:

tag

The tag parameter is a string input that accepts the LoRA tag you wish to convert. This tag can be multiline, allowing you to input complex or multiple tags at once. The function of this parameter is to provide the raw LoRA tag that will be processed and converted into a prompt format. There are no specific minimum or maximum values, but it should be a valid string that represents a LoRA tag.

separator

The separator parameter is a string input that defines the character or string used to separate each keyword in a LoRA filename. The default value is "SEP". This parameter is crucial as it helps the node understand how to parse the LoRA tag correctly. By specifying the correct separator, you ensure that the tag is split into meaningful keywords, which are then used to form the prompt.

Convert prompt and LoRAs Output Parameters:

keywords

The keywords output is a string that contains the converted LoRA tag in a prompt-friendly format. This output is the result of processing the input tag and separating it into individual keywords based on the specified separator. The keywords are then combined into a single string that can be used directly in your AI art generation prompts.

nr_keywords

The nr_keywords output is an integer that represents the number of keywords extracted from the LoRA tag. This count gives you an idea of how many distinct keywords were identified and included in the prompt. It can be useful for understanding the complexity and richness of the generated prompt.

Convert prompt and LoRAs Usage Tips:

• Ensure that the tag parameter accurately represents the LoRA tag you want to convert. Double-check for any typos or formatting issues to avoid errors in the conversion process.
• Use the separator parameter to match the specific format of your LoRA tags. If your tags use a different separator than the default "SEP", make sure to update this parameter accordingly.
• Utilize the nr_keywords output to gauge the complexity of your prompt. A higher number of keywords can lead to more detailed and nuanced AI-generated art.

Convert prompt and LoRAs Common Errors and Solutions:

Invalid tag format

• Explanation: The provided tag does not match the expected format or contains invalid characters.
• Solution: Verify the tag for any typos or incorrect formatting. Ensure it adheres to the expected structure for LoRA tags.

Separator not found

• Explanation: The specified separator does not exist in the provided tag, leading to an inability to split the tag into keywords.
• Solution: Check the separator parameter to ensure it matches the actual separator used in your LoRA tags. Adjust the separator value if necessary.

Empty tag input

• Explanation: The tag parameter is empty or only contains whitespace.
• Solution: Provide a valid LoRA tag in the tag parameter. Ensure it is not empty and contains meaningful content to be converted.