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Specialized node for processing LoRA syntax in text prompts, extracting prompts, applying LoRA models, and cleaning up text.
The LoraSyntaxProcessor
is a specialized node designed to process and manage LoRA (Low-Rank Adaptation) syntax within text prompts. This node is particularly useful for AI artists who want to incorporate LoRA models into their workflows seamlessly. The primary function of the LoraSyntaxProcessor
is to identify and extract LoRA prompts embedded in the text, load the corresponding LoRA models, and apply them to the given model and clip. It also cleans up the text by removing the LoRA syntax, ensuring that the final prompt is free from any LoRA-specific tags. This node simplifies the integration of LoRA models, allowing for more dynamic and flexible text-to-image generation processes.
The model
parameter represents the base model to which the LoRA modifications will be applied. This is a required input and serves as the foundation for the subsequent LoRA adjustments.
The clip
parameter is the CLIP (Contrastive Language–Image Pre-training) model that will be modified by the LoRA prompts. This is also a required input and works in conjunction with the base model to enhance the text-to-image generation process.
The text
parameter is the input text prompt that may contain LoRA syntax. This text is processed to identify and extract LoRA prompts, which are then used to modify the model and clip. The text is also cleaned up by removing the LoRA syntax after processing.
The seed
parameter is used for random syntax processing within the text. It ensures that any random elements in the text prompt are consistently generated, providing reproducibility in the results.
The extra_pnginfo
parameter is an optional input that can contain additional metadata or information to be used during the text processing. This can be useful for more advanced or customized text-to-image generation scenarios.
The prompt
parameter is another optional input that can provide additional context or instructions for the text processing. This can help in refining the final output by incorporating more specific details or requirements.
The model
output is the modified base model after applying the LoRA prompts. This model has been adjusted according to the LoRA syntax extracted from the text, enhancing its capabilities for the specific task.
The clip
output is the modified CLIP model after applying the LoRA prompts. Similar to the model output, this CLIP model has been adjusted to better align with the text prompt and the applied LoRA modifications.
The stripped_text
output is the cleaned-up version of the input text, with all LoRA syntax removed. This text is free from any LoRA-specific tags, making it suitable for further processing or use in other contexts.
The text
output is the original input text, including any LoRA syntax. This is provided for reference or for any additional processing that may be required.
<lora:filename:multiplier>
to enable the LoRA modifications.seed
parameter to maintain consistency in random elements within your text prompt, ensuring reproducible results.extra_pnginfo
and prompt
parameters to provide additional context or metadata that can enhance the text processing and final output.model
, clip
, text
, and seed
) are provided when using the node. Double-check the parameter names and their values.<lora:filename:multiplier>
. Check for any missing or extra characters and correct the syntax accordingly.© Copyright 2024 RunComfy. All Rights Reserved.