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 likefantasy::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