HiAPI
21:9 Hero 图:左侧暖光留白,右侧悬浮半透明玻璃图像卡片与虹彩棱镜光带,冰蓝与珊瑚粉渐变;gpt-image-2 发光立体字蚀刻于主卡片中。

OpenAI

GPT Image 2

gpt-image-2/text-to-image

OpenAI's image generation and editing model, focused on photorealistic quality, high-precision text rendering, and native 4K output, suited for commercial materials and product images that contain text

Route

Try gpt-image-2/text-to-image

Input

Output

image
Fill in the parameters and run — results show up here.

Pricing

gpt-image-2/text-to-image per image

Specifications Unit Price
1K $0.030
2K $0.040
4K $0.060

Positioning Overview

gpt-image-2 is OpenAI's text-to-image model, aimed at developers who need to reliably produce commercial-grade visual assets. It excels at honoring the multiple constraints within complex prompts, maintains good typographic tidiness in posters, packaging, and layouts that contain text, and supports resolutions from 1K to 4K along with a variety of aspect ratios. You can generate an image simply by passing a prompt through the unified HiAPI.ai interface, making it well suited for teams embedding image-generation capabilities into design tools, marketing asset pipelines, and content production backends.

Core Highlights

  • Good adherence to complex prompts — It inherits the semantic understanding of the GPT series and can still generate images according to intent when a prompt contains subject, style, text, and layout constraints at the same time.
  • More reliable rendering of images containing text — It delivers good fidelity and layout performance for text content in signage, packaging, and layouts, reducing the need to fix lettering after generation.
  • Broad resolution and aspect-ratio coverage — It supports 1K, 2K, and 4K output and more than a dozen ratios from 1:1 to 21:9, so one integration can accommodate many placement specifications.
  • Multiple versions per single call — It can generate several results at once, making it easy to compare options and explore styles under the same prompt.

Capability Details

Image generation from text prompts: Generate images by passing a prompt of up to 20,000 characters, making it suitable for turning natural-language descriptions directly into usable visual assets.

Multi-resolution and multi-aspect-ratio output: Choose among 1K, 2K, and 4K, and select landscape or portrait ratios according to placement. The auto ratio and extreme ratios such as 9:21 and 3:1 are limited to 1K, and 1:1 does not support 4K.

Transparent-background output: background supports three modes—auto, opaque, and transparent. Transparent images can be used directly for compositing and overlaying; this parameter takes effect only at 1K.

Text and layout presentation: It delivers good rendering and layout performance for mixed text-and-image compositions, making it suitable for commercial visuals that need a finished look.

Multiple results returned at once: A single prompt can produce multiple style-consistent images, making it easy to quickly compare versions and pick the best one.

Applicable Scenarios

  • Marketing teams: ad posters and key visual generation — Input campaign themes and layout requirements to produce campaign key visuals that can go directly into placement or further retouching.
  • E-commerce operations: product image and product-photography style rendering — Use product descriptions as input to generate photography-style product images for detail pages, shelf images, and social assets.
  • Design teams: packaging and layout drafts with text — Input copy and text-image relationships to produce packaging, signage, and layout design drafts containing multilingual text.
  • Content platforms: multi-version iteration of concepts — Batch-generate images from the same prompt for style exploration, then send candidate options for review before finalizing.

Limitations and Selection Advice

It outputs images only and does not support other modalities such as video. The official rating places its generation speed at medium, so it is not suitable for real-time interactive scenarios that are extremely latency-sensitive; high resolution and batch image generation will lengthen processing time and raise call costs at the same time, so trade-offs must be made according to placement specifications. For images containing precise text, manual proofreading is still recommended. If the need leans toward compositional reasoning in complex scenes or extreme generation speed, other models should be evaluated separately; HiAPI.ai also offers an image-to-image route in this series, which can be used when an existing image must serve as input. Billing is calculated per image, and the specific amount is subject to the pricing panel.

  • Parameter change gpt-image-2 added 1K / 2K / 4K resolution tiers

Frequently asked questions

View all FAQs →
  • What is GPT Image 2?

    GPT Image 2 is an OpenAI text-to-image model for posters, knowledge cards, product visuals, and images with explicit text and layout requirements.

  • Is GPT Image 2 the same as GPT Image 2.0?

    GPT Image 2.0 is a common search shorthand; use the exact GPT Image 2 model ID shown on this page and in the API docs.

  • Which endpoint and model ID does the GPT Image 2 API use?

    Send POST requests to /v1/tasks, set model to gpt-image-2/text-to-image, and pass prompt, aspect_ratio, and resolution in input. The create response returns a taskId; retrieve the final image through task polling or a callback.

  • How do I use GPT Image 2?

    In the Playground, describe the subject, scene, layout, and exact text, then choose the aspect ratio, resolution, and background. Click Run to view the result.

Related Models

View all models →

Same Provider