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Fetch detailed LoRA model info for AI artists, including trigger words, prompts, and base model data.
The LoraInfo
node is designed to provide detailed information about a specific LoRA (Low-Rank Adaptation) model. This node is particularly useful for AI artists who want to understand the specifics of a LoRA model, including its trigger words, example prompts, and the base model it was trained on. By using this node, you can easily fetch and display comprehensive details about a LoRA model, which can help you in selecting the right model for your creative projects. The node retrieves information from a database and, if necessary, computes additional details such as the model's SHA256 hash, associated images, and metadata. This ensures that you have all the relevant information at your fingertips, making it easier to integrate and utilize LoRA models in your work.
The lora_name
parameter specifies the name of the LoRA model you want to retrieve information about. This parameter is crucial as it determines which model's details will be fetched and displayed. The available options for this parameter are dynamically generated from the list of LoRA models present in the system, ensuring that you can only select from valid and existing models. There are no minimum or maximum values for this parameter, but it must be a valid LoRA model name from the list.
The trigger_words
output parameter provides a list of words or phrases that can be used to activate specific features or styles of the LoRA model. These trigger words are essential for effectively utilizing the model's capabilities in your prompts.
The example_prompt
output parameter offers a sample prompt that demonstrates how to use the LoRA model effectively. This example can serve as a starting point for creating your own prompts, helping you to quickly understand how to leverage the model's strengths.
lora_name
parameter is correctly set to a valid LoRA model name to retrieve accurate information.trigger_words
output to enhance your prompts and achieve the desired effects or styles offered by the LoRA model.example_prompt
to understand how to structure your prompts for optimal results with the selected LoRA model.lora_name
provided does not correspond to any existing LoRA model in the system.lora_name
is correctly spelled and matches one of the available LoRA models. You can check the list of valid LoRA names provided in the input options.output
or baseModel
information for the specified LoRA model.© Copyright 2024 RunComfy. All Rights Reserved.