GPT-Image-1.5: Production-Ready Text-to-Image Model

What is GPT-Image-1.5?

GPT-Image-1.5 is an advanced AI image generation model built for professional designers, content creators, and developers who need production-quality visuals with precise creative control. This model represents a significant leap forward in photorealism, accuracy, and editability compared to earlier iterations. It excels at generating images with natural lighting, accurate materials, and realistic textures while offering flexible quality-latency trade-offs for different workflow needs. Whether you're creating marketing assets, UI designs, or complex infographics, GPT-Image-1.5 delivers consistent, high-fidelity results that integrate seamlessly into professional pipelines.

Key Features

• Photorealistic rendering with natural lighting, accurate materials, and detailed textures
• Flexible quality settings that balance output fidelity with generation speed
• Robust facial identity preservation during edits and variations
• Precise text rendering within images for marketing creatives and infographics
• Complex structured visuals including charts, diagrams, and technical illustrations
• Strong contextual awareness leveraging world knowledge for accurate scene generation
• Multiple output formats (PNG, JPEG, WebP) with adjustable compression
• Resolution options from 1024x1024 to 1536x1024, plus auto-sizing
• Transparent background support for design flexibility

Best Use Cases

GPT-Image-1.5 shines in professional workflows requiring precision and consistency:

• Marketing and advertising: Generate product mockups, social media creatives, and campaign visuals with accurate embedded text
• Design and prototyping: Create UI mockups, logo concepts, and style explorations rapidly
• Content creation: Produce infographics, comic strips, holiday cards, and children's book illustrations with character consistency
• E-commerce: Generate product visualizations, virtual try-ons, and lifestyle imagery
• Architecture and interior design: Visualize spaces with lighting and weather variations

Prompt Tips and Output Quality

Effective prompting with GPT-Image-1.5 follows a structured approach:

Prompt structure: Specify scene → subject → style → composition → constraints. Example: "A modern kitchen with marble countertops, photorealistic style, golden hour lighting, 3/4 perspective view, no people."

Quality parameter impact:

• High quality: Use for final deliverables requiring maximum detail and richness
• Medium quality: Ideal for iterative drafts and concept exploration
• Low quality: Fast generation for rapid testing

Resolution selection:

• 1536x1024: Wide-format images for landscapes and banners
• 1024x1536: Portrait orientation for social media and mobile
• 1024x1024: Square format with fastest generation times

Iterative refinement: Start broad, then add specific details. Explicitly state preservation requirements to prevent unwanted drift during edits. For facial identity consistency, reference specific features and characteristics.

Format optimization: Use PNG with 100 compression for final assets, JPEG or WebP with lower compression for web-optimized delivery.

FAQs

Is GPT-Image-1.5 suitable for commercial use?
Yes, GPT-Image-1.5 generates production-ready images suitable for commercial applications including marketing, e-commerce, and content creation.

How does quality setting affect generation time?
Higher quality settings increase detail and richness but take longer to generate. Low quality reduces latency significantly while maintaining acceptable fidelity for drafts and testing.

Can I generate images with transparent backgrounds?
Yes, set the background parameter to "transparent" for PNG outputs with alpha channels, perfect for overlay designs and compositing.

What's the best resolution for social media content?
Use 1024x1536 for Instagram stories and vertical posts, 1536x1024 for Facebook and LinkedIn banners, and 1024x1024 for profile images and square posts.

How accurate is text rendering in generated images?
GPT-Image-1.5 features significantly improved text accuracy compared to earlier models, making it reliable for marketing creatives, infographics, and designs requiring embedded typography.

What compression level should I use for web delivery?
Set output_compression between 80-90 and use WebP format for optimal web performance while maintaining visual quality. Use 100 compression with PNG for archival or print-ready assets.