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Enhances text prompts with wildcard and LoRA syntax processing for dynamic and enriched AI-generated content.
The WildcardAndLoraSyntaxProcessor node is designed to enhance your text prompts by integrating wildcard and LoRA (Low-Rank Adaptation) syntax processing. This node allows you to dynamically replace parts of your prompt with random selections from predefined lists (wildcards) and apply LoRA models to your text, which can significantly enrich the generated content. By combining these two powerful techniques, you can create more varied and complex prompts, leading to more diverse and interesting AI-generated art. The node processes the text to replace wildcard syntax with random choices and applies LoRA models based on the specified syntax, ensuring that your prompts are both dynamic and enriched with additional model capabilities.
This parameter is a multiline string input where you can enter the text prompt that you want to process. The prompt can include wildcard syntax in the format {option1|option2|option3}
and LoRA syntax in the format <lora:filename:multiplier>
. The wildcard syntax will be replaced with a random choice from the options provided, and the LoRA syntax will apply the specified LoRA model to the text. This allows for dynamic and varied prompt generation. There is no minimum or maximum length for the prompt, but it should be meaningful and relevant to your intended output.
This parameter is an integer input that sets the seed for the random number generator used in processing the wildcard syntax. By setting a specific seed value, you can ensure that the random choices made during wildcard processing are reproducible. The default value is 0, and the valid range is from 0 to 0xffffffffffffffff (a very large number). Using different seed values will result in different random selections, adding variability to your prompts.
This parameter represents the AI model that will be used in conjunction with the LoRA syntax. It is typically a pre-trained model that you want to enhance with additional LoRA capabilities. The model parameter is essential for applying the LoRA modifications specified in the prompt.
This parameter represents the CLIP (Contrastive Language-Image Pre-Training) model that will be used to process the text. The CLIP model is used to understand and encode the text prompt, and it is necessary for applying the LoRA modifications.
This optional parameter is a dictionary that can contain additional metadata or information to be used during the processing of the prompt. It is used for search and replace operations within the text. If not provided, an empty dictionary is used by default.
This optional parameter is another dictionary that can contain additional prompt-related data for search and replace operations. It is used to further customize the text processing. If not provided, an empty dictionary is used by default.
The output model is the AI model that has been enhanced with the specified LoRA modifications. This model can be used for further processing or generation tasks, and it incorporates the additional capabilities specified in the prompt.
The output clip is the CLIP model that has been processed with the LoRA modifications. This model can be used to understand and encode the modified text prompt, and it is essential for generating the final output.
This output parameter is the text prompt with the LoRA syntax stripped out. It represents the cleaned-up version of the prompt after all LoRA modifications have been applied, making it suitable for further processing or analysis.
This output parameter is the original text prompt after all wildcard and LoRA syntax processing has been completed. It includes the final version of the prompt with all dynamic replacements and modifications applied.
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