Openai GPT Image 2 Text-to-Image
टेक्स्ट-से-इमेज

Openai GPT Image 2 Text-to-Image API by OpenAI

openai/gpt-image-2/text-to-image
Text-to-image

GPT Image 2 text to image is OpenAI's fast, cost-efficient text-to-image generator powered by GPT-5 guidance. Create photorealistic shots, product renders, concept art, and stylized graphics from natural-language prompts (optionally conditioned with an image). Supports custom aspect ratios, seeds, negative prompts, hex color hints, and style presets. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

OpenAI GPT Image 2 Text-to-Image Model

GPT Image 2 Text-to-Imave is a cost-efficient multimodal text-to-image generation model powered by OpenAI’s GPT image technology. It combines strong prompt understanding with optimized image synthesis to generate high-quality visuals from natural language, making it ideal for UI design, concept art, product mockups, and creative visualization.

🌟 Key Features

🧠 Strong Visual Understanding

Understands complex textual instructions and applies targeted edits that match intent and context.

🎨 Intelligent Image Editing

Add, remove, or modify elements in an image with precision — from subtle adjustments to full stylistic transformations.

🖼 Multi-Image Support

Accepts one or more image inputs to guide the edit or style reference process.

💡 Context-Aware Refinement

Preserves the key artistic or photographic features, such as lighting, tone, and pose, while applying changes only where needed.

💰 Efficient and Accessible

Professional-quality visual editing at low cost, ideal for rapid prototyping, design iteration, or creative workflows.

⚙️ Parameters

ParameterDescription
prompt*Text description of the desired image (e.g. “street food market at night, photojournalism style...”)
qualityOutput quality tier: low, medium, or high
sizeOutput size: 1024×1024, 1024×1536, or 1536×1024

💳 Pricing

Billing is token-based. The total cost per image is:

Total = (Input cost + Output cost) × n

Output tokens

Calculated from the requested output size and quality:

tokens = ceil( base × round(base × short_side / long_side) × (2,000,000 + W×H) / 4,000,000 )

Output cost = output_tokens × $0.00003

Input tokens

Input cost = prompt x $0.000005

🎯 Use Cases

  • Product & Fashion Editing — Adjust outfits, lighting, or background for catalog or campaign visuals.
  • UI/UX & Brand Design — Apply aesthetic refinements to mockups or visual assets.
  • Creative Direction — Evolve photo concepts while preserving original mood and framing.
  • Photography & Illustration — Fix, enhance, or restyle images using natural text prompts.

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