Platform-Specific Syntax & Methods

Different AI platforms support specialized prompting techniques and syntax structures. Always consult your model provider's documentation for current capabilities.

Major Prompting Methodologies:

  • Weighted Prompting (Midjourney): Use :: for concept separation and weighting like fantasy::2 castle::1.5 medieval::0.8
  • JSON Structured Prompting: Some models accept JSON-formatted prompts with structured fields for subject, style, composition, etc.
  • Temporal/Timeline Prompting (Sora): Describe scene evolution over time: 'Start with a closeup on a flower, then slowly pull back to reveal an entire meadow...'
  • Parameter-Based Systems: Platform-specific parameters for aspect ratio, stylization, and other controls

Platform Examples:

Midjourney: epic fantasy castle on a mountain peak, cinematic lighting, dramatic clouds :: style of Greg Rutkowski :: --ar 16:9 --stylize 750

Stable Diffusion: Often uses weighted terms and negative prompts

DALL-E: More natural language focused with some parameter support