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Generate custom text prompts for AI models using seed values and API requests for creative applications.
The Zuellni Text Prompt node is designed to facilitate the generation of text prompts for AI models, particularly in the context of creative and artistic applications. This node allows you to input a text string, a seed value, and additional parameters to customize the request sent to an API. The primary function of this node is to process the input text and seed, send a request to a specified API, and return the generated text result. This node is particularly useful for AI artists who want to generate consistent and high-quality text prompts for their projects, leveraging the power of external APIs to enhance their creative workflows.
The text
parameter is a string input that allows you to provide the initial text prompt. This text will be sent to the API for processing. The default value is an empty string, and it supports multiline input, enabling you to provide more complex and detailed prompts.
The seed
parameter is an integer input that sets the seed value for the text generation process. This helps in producing consistent and reproducible results. The default value is 0, with a minimum value of 0 and a maximum value of 0xFFFFFFFFFFFFFFFF (18,446,744,073,709,551,615).
The params
parameter is a dictionary input that contains additional settings and configurations for the API request. This dictionary should include the API endpoint and any other necessary request parameters. It allows for extensive customization of the text generation process, ensuring that the output meets your specific needs.
The output of the Zuellni Text Prompt node is a string that contains the generated text result. This output is derived from the response of the API request and represents the final processed text based on the input parameters. It is the key result that you can use in your creative projects or further processing.
text
parameter is well-crafted and detailed to get the best possible results from the API.seed
parameter to generate consistent outputs, especially when you need reproducibility in your text prompts.params
dictionary to fine-tune the API request according to your specific requirements, such as adjusting the API endpoint or adding additional request parameters.class_type
property defined.class_type
property correctly set.{class_type}
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