Sora Prompt Generator

This page consolidates concise reference material on AI prompting, prompt engineering, and text-to-video workflows, followed by a lightweight generator that assembles a structured Sora 2 prompt. The content aims for a neutral, Google-style interface with attention to readability and fast interactions.

• Scope. Prompts for text-to-video emphasize composition, motion, lighting, and concise exclusions.
• Stability. Short, concrete clauses tend to reduce variance; iterative refinement remains essential.
• Portability. A structured prompt format eases reuse across projects and tools.

These concise guides outline common workflows for AI prompting, prompt engineering, and text-to-video generation with terms such as Sora 2.

AI prompting

• Intent. State the objective in one sentence before details.
• Constraints. Add clear limits on scope, style, or format.
• Examples. Few-shot snippets help establish tone and structure.

Text-to-video prompting

• Temporal cues. Indicate pacing (for example, slow pan, tracking, or timelapse).
• Cinematography. Provide lens hints (for example, 24 mm wide, 50 mm), shot type, and depth-of-field.
• Lighting. Key, fill, color temperature, reflections; specify mood where relevant.

Exclusions

• Declare items to avoid (for example, no text overlays, avoid Dutch angles).
• Use short, unambiguous phrasing; avoid negative chains that could conflict.

Prompt engineering formalizes how prompts are composed and evaluated for predictable outcomes.

• Decomposition. Break complex tasks into small sections: scene, action, camera, lighting, audio, and exclusions.
• Iteration. Adjust a single variable at a time to isolate effects.
• Versioning. Maintain a compact prompt log (date, prompt, outcome, change notes).
• Portability. Favor consistent phrasing so prompts move between tools with minimal edits.

Machine-readable formats reduce ambiguity and support automation.

{
  "scene": "neon alley at night, light drizzle",
  "subject": "courier adjusts helmet, breath visible",
  "camera": "35mm, subtle dolly-in, shallow DOF",
  "lighting": "practical neons as key; cool rim",
  "exclude": ["text overlays", "dutch angles"]
}

• JSON/YAML. Favor simple keys for recurrent parameters.
• Schema. Keep fields stable; add optional keys for extensions.
• Validation. Check for empty or conflicting fields before generation.

• Neon city at dusk; rain on asphalt; tracking shot; shallow DOF; cool rim light; --ar 16:9
• Forest river at sunrise; slow pan; volumetric light through mist; natural palette; --ar 16:9
• Abstract data flow; particle trails; wide-angle; smooth orbit; high contrast; --ar 16:9

Sora 2 is a common label for advanced text-to-video systems producing short clips from natural language prompts. The term “Sora 2 prompting” describes inputs intended to guide such systems toward a specific composition and motion profile.

• Scope. Prompts typically target short, coherent scenes with stable framing and motion.
• Composition. Clear subject, layered depth, and natural lens behavior are frequently emphasized.
• Audio. Some tools add ambient sound; detailed sound design control may be limited.

Does the generator produce videos?

No. It produces a structured text prompt intended for use with text-to-video tools described as Sora 2 or similar.

How long should a prompt be?

Concise clauses covering scene, subject, camera, lighting, and exclusions generally perform well. Excess length does not guarantee higher quality.

What aspect ratio should I use?

The examples here assume --ar 16:9 for a standard landscape frame, but projects may require different ratios.