Easy Improve Prompt

Enhance and refine text prompts for improved AI generation.
Control output length and language.

Node Overview

This node is designed to take an input text prompt and refine it into a more effective prompt for AI models. It allows for control over the output prompt's length and target language.

What It Does

The easyImprovePrompt node analyzes the provided input prompt and generates an improved version. This is particularly useful for users who want to optimize their prompts for better results from AI generation tools. Key features include:

• Prompt Improvement: Transforms basic prompts into more detailed and effective ones.
• Length Control: Allows you to specify a target word count for the improved prompt, or leave it at -1 for automatic length adjustment.
• Language Translation: Optionally translate the improved prompt into a different language, with the default being to match the original input language.

Input & Output Format

• Input: Accepts text as input.
• Output: Produces text as output, representing the improved prompt.

Configuration Options

• targetLanguage: Specify the desired language for the output prompt. Options include 'Original Language', 'English', 'Chinese', 'Spanish', 'Hindi', 'Arabic', 'Portuguese', 'Bengali', 'Russian', 'Japanese', 'Punjabi', 'German', 'French', 'Urdu', 'Indonesian', 'Swahili', 'Marathi', 'Telugu', 'Turkish', 'Tamil', 'Korean'. Defaults to 'Original Language'.
• quality: Choose the quality/speed trade-off for the prompt improvement. Options are 'fast' or 'balanced'. Defaults to 'balanced'.
• targetLength: Set a specific word count for the output prompt. Use -1 for automatic length determination. Ranges from -1 to 1200 words.

Use Cases

• AI Art Generation: Enhance a simple description into a detailed prompt for image generation models like Stable Diffusion or Midjourney.
• Content Creation: Refine a basic article idea into a comprehensive prompt for a text generation model to produce a blog post or story.
• Code Generation: Improve a functional description into a more precise prompt for a code generation model.
• Multilingual Workflows: Generate prompts in a specific language, even if the initial idea was conceived in another language.