Advanced Prompting
For artists seeking maximum control and creative exploration, advanced prompting techniques open new possibilities. These methods leverage the full capabilities of AI models and supporting tools to achieve complex or precise results.
- Prompt Matrices: Systematically testing combinations of prompt elements.
- X/Y/Z Plots: Generating grids of images with controlled parameter variations.
- Prompt Interpolation: Smoothly transitioning between different prompts.
- Conditional Prompts: Instructions that adapt based on other factors.
- Multi-step Prompts: Breaking complex generation into sequential stages.
- Prompt Scheduling: Changing prompt emphasis at different points in generation.
- Regional Prompting: Applying different prompts to specific areas of an image.
Advanced prompting often involves tools beyond just text entry, such as ControlNet for structural guidance, editing attention maps to focus the model on specific concepts, or using custom embeddings to access concepts not well-represented in the model's original training. Mastering these techniques gives artists unprecedented control over the AI generation process.