Prompt Fundamentals
Understanding the basic structure and components of effective prompts provides the foundation for successful AI art creation. These fundamental concepts influence how models interpret your instructions and translate them into images.
- Positive Prompts: The main instructions describing what should appear in the image.
- Negative Prompts: Instructions specifying what should be avoided or excluded.
- Prompt Weighting: Adjusting the influence of specific terms using syntax like (term:1.2) for emphasis.
- Attention Mechanisms: How models focus on different parts of prompts during generation.
- Prompt Editing: Techniques to modify prompts during the generation process.
- Dynamic Prompts: Templates that can generate variations by substituting elements.
- Wildcard Prompts: Using special syntax to randomly select from lists of options.
The structure of prompts significantly impacts results, with most models giving more weight to terms at the beginning of prompts and interpreting comma-separated lists as sets of concepts to combine. Understanding these patterns helps craft prompts that more reliably produce desired outcomes.