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Generate sophisticated content from user prompts using advanced Gemini API capabilities for high-quality text generation.
The Gemini_15P_API_S_Advance_Zho
node is designed to leverage the advanced capabilities of the Gemini API for generating content based on user prompts. This node is particularly useful for creating detailed and contextually rich outputs by integrating the latest advancements in the Gemini 1.5 Pro model. It allows you to input a prompt and receive a sophisticated response, making it ideal for tasks that require high-quality text generation. The node is configured to work seamlessly with the Gemini API, ensuring that you can easily generate content without needing to handle complex configurations or technical details. This makes it a powerful tool for AI artists looking to enhance their creative workflows with advanced AI-generated content.
The prompt
parameter is a string input that serves as the main instruction or query for the Gemini API to process. This parameter is crucial as it directly influences the content generated by the node. The prompt can be a question, a statement, or any text that you want the AI to expand upon. It supports multiline input, allowing for more complex and detailed instructions. The default value is "What is the meaning of life?", but you can customize it to fit your specific needs.
The system_instruction
parameter is a string input that provides additional context or instructions to the AI model. This helps guide the model's behavior and ensures that the generated content aligns with your expectations. The system instruction can include guidelines on the tone, style, or specific details that the AI should consider while generating the content. This parameter also supports multiline input, allowing for comprehensive instructions. The default value is "You are creating a prompt for Stable D".
The text
parameter is the primary output of the node, containing the generated content based on the provided prompt and system instructions. This output is a string that encapsulates the AI's response, which can be used directly in your projects or further processed as needed. The generated text aims to be contextually relevant and aligned with the input parameters, providing high-quality and coherent content.
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