GPT Image 2.0 Master Prompts (2026)
Optimized prompts for OpenAI GPT Image 2.0 — featuring JSON-config style, canvas-first structure, and precision typography. Updated for 2026 model capabilities.
📋 Prompt
/* GPT-IMAGE-2.0 MASTER PROMPT VERSION: 3.0.0 CAPABILITIES: Precision Typography, Complex Layouts, Photorealism */ **Canvas:** [ASPECT_RATIO] [ORIENTATION] (e.g., "16:9 landscape", "3:4 vertical", "1:1 square") **Subject:** [MAIN_OBJECT] **Composition:** [LAYOUT_STRUCTURE] (e.g., "centered", "3×3 grid", "diagonal flow") **Typography (if any):** - Primary: "[EXACT_TEXT]" [FONT_STYLE] [SIZE_DESC] - Secondary: "[EXACT_TEXT]" [FONT_STYLE] [SIZE_DESC] **Lighting:** [LIGHTING_TYPE] [DIRECTION] [MOOD] **Color Palette:** [PRIMARY_COLOR], [SECONDARY_COLOR], [ACCENT_COLOR] **Material:** [SURFACE_DETAILS] **Background:** [BG_DESC] **Quality Directives:** "crisp details, no artifacts, professional grade output" Notes for GPT Image 2.0: - Text renders best when wrapped in quotes and explicitly positioned - JSON-config style unlocks advanced control for complex scenes - Specify exact text blocks separately from visual elements
💡 Tips
- GPT Image 2.0 excels at typography — use explicit quoted text with position cues
- JSON-style prompts work best for product photography and multi-element scenes
- Always state canvas ratio FIRST to prevent layout improvisation
- For Chinese/Japanese text, specify font style: 'serif', 'sans-serif', or 'handwritten'
GPT Image 2.0 Optimization Notes
- Version 3.0 introduces precision typography support and structured JSON prompts.
- Replaces adjectives with concrete visual parameters.
- Canvas definition must precede subject description for stable composition.
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