Create a GPT Image 1.5 Generation Task
Create a new generation task by calling the Kie.ai task creation endpoint and specifying gpt-image-1.5 as the model. This establishes a structured JSON request, including the model and optional callback URL.
Input
A text description of the image you want to generate
0/3000Width-height ratio of the image, determining its visual form.
Quality: medium=balanced, high=slow/detailed.
Output
output typeimage
Examples
Explore different use cases and parameter configurations
Input
Click to upload or drag and drop
Supported formats: JPEG, PNG, WEBP Maximum file size: 10MB; Maximum files: 16
Upload an image file to use as input for the API
A text description of the image you want to generate
0/3000Width-height ratio of the image, determining its visual form.
Quality: medium=balanced, high=slow/detailed.
Output
output typeimage
Examples
Explore different use cases and parameter configurations
README
Complete guide to using gpt-image-1.5
Affordable OpenAI GPT Image 1.5 API
Integrate the GPT Image 1.5 API for image generation and editing. Kie.ai provides lower-than-official pricing, stable high-concurrency infrastructure, and secure gpt-image-1.5 API access.
Overview of OpenAI GPT Image 1.5 API
Text-to-Image with GPT Image 1.5 API
The GPT Image 1.5 API enables developers to generate high-quality images directly from text with strong prompt adherence and reliable composition. Compared to earlier versions of the ChatGPT images, GPT Image 1.5 delivers more realistic visuals and improved text rendering—especially for dense or small text within images.
Image Editing and Style Transformation
The gpt-image-1.5 API supports precise image editing, allowing developers to modify images while preserving key details. It can add, remove, combine, or blend visual elements, and also supports fine-grained style control and style transfer for consistent results across iterative edits. Stay with gpt-image-1.5 for your current precise edits, but choose the newer GPT Image 2.5 API when stronger reference fidelity is needed to preserve more source details.
What’s New in GPT Image 1.5 Compared to Previous ChatGPT Images
More Precise Editing and Style Transformations
The GPT Image 1.5 delivers more precise image editing while preserving critical details such as lighting, composition, and character identity. It supports creative transformations with fine-grained style control and style transfer, allowing developers to apply visual changes without losing consistency across edits. This makes iterative workflows more reliable, especially for brand- or identity-sensitive use cases.
Stronger Text Rendering in Images
The gpt-image-1.5 AI model takes a clear step forward in text rendering, especially for dense or small text inside images. This improvement makes the model more suitable for use cases like posters, infographics, UI mockups, and branded visuals, where legible and accurate text is essential.
More Reliable Instruction Following
Compared to earlier ChatGPT Image versions, GPT Image 1.5 follows instructions more consistently. This improves the accuracy of image edits and also enables more complex original compositions, where relationships between elements—such as positioning, scale, and layout—are preserved as intended. Developers can achieve the desired result with fewer prompt revisions.
Higher Visual Fidelity and More Natural Outputs
As an upgraded AI image generation model, GPT Image 1.5 produces more realistic images with improved lighting, material accuracy, and overall visual coherence. It also performs better in challenging scenarios, such as rendering many small faces or maintaining natural proportions, resulting in outputs that require less post-processing.
Faster Generation and Better Cost Efficiency
The GPT Image 1.5 AI model is optimized for performance, delivering image generation up to four times faster than earlier ChatGPT Image versions. In addition, image inputs and outputs are approximately 20% cheaper than GPT Image 1, making GPT Image 1.5 API pricing more cost-effective for iteration-heavy and high-volume workflows.
Stronger World Knowledge and Visual Reasoning
As an advanced AI image generation model, GPT Image 1.5 demonstrates stronger real-world knowledge and reasoning. This allows for more accurate depictions of objects, environments, and scenes, reducing visual inconsistencies and implausible details. The result is imagery that better aligns with real-world expectations and requires less manual correction.
GPT Image 1.5 API on Kie.ai: Affordable, Stable, and Secure
More Affordable GPT Image 1.5 API Pricing
Kie.ai offers access to the GPT Image 1.5 API at a lower cost than the official OpenAI pricing, making it easier to control expenses in production environments. The gpt-image-1.5 API Price is based on a flexible credit system, so you only pay for what you use—no subscriptions.
Secure API Key Management and Usage Controls
Kie.ai offers robust API key management features to help teams secure and control access to the gpt-image-1.5 API. Developers can configure safe-spend limits, apply IP whitelisting, and monitor usage at the key level.
Clear GPT Image 1.5 API Doc and Developer Support
Kie.ai provides detailed GPT Image 1.5 API documentation that covers endpoints, parameters, examples, and important notes. In addition, technical support is available to help developers troubleshoot issues and integrate the gpt-image-1.5 API more efficiently.
Stable Infrastructure with High Concurrency Support
The GPT Image 1.5 API on Kie.ai is built on a stable infrastructure that supports high concurrency and sustained throughput. This makes it suitable for production systems that require reliable performance under load, such as SaaS products, automation pipelines, and real-time image generation services.
How to Integrate the GPT Image 1.5 Model
Configure Inputs for Generation or Editing
For AI image generation, provide a text prompt; for image editing workflows, include one or more reference images. You can also set parameters such as aspect ratio, or quality to control visual fidelity and performance.
Handle Asynchronous Execution and Callbacks
Tasks created with the GPT Image 1.5 API run asynchronously, making them suitable for scalable systems. You can supply a callback URL to receive notifications when a task completes or fails, or poll the task status using the returned task ID.
Retrieve Results and Monitor Usage
After a task completes, retrieve the generated image URLs from the task result and integrate them into your application. Usage metrics and credit consumption can be monitored to help manage GPT Image 1.5 API costs.
Use Cases for the GPT Image 1.5 API
Product Image Generation and Catalog Expansion
The GPT Image 1.5 API is well suited for generating consistent product images at scale from text descriptions or reference photos. Ecommerce teams can use this ChatGPT Image Generation API to create product variants, lifestyle scenes, and multiple viewing angles from a single source image, while preserving key visual details. This helps reduce manual design work and accelerates catalog expansion without compromising visual quality.
Brand-Safe Image Editing and Asset Iteration
With its strong preservation of layout, lighting, and identity, the gpt-image-1.5 API is ideal for brand-sensitive image editing workflows. Marketing and design teams can update visuals—such as swapping backgrounds, adjusting compositions, or refining layouts—while keeping logos and core brand elements consistent. This makes the GPT Image 1.5 editing API a reliable choice for iterative asset updates across campaigns.
Text-Heavy Visuals and Structured Graphics
The OpenAI GPT Image 1.5 API offers improved text rendering, making it effective for generating images that include dense or precise text. Common use cases include posters, infographics, UI mockups, and instructional visuals where legibility matters. Developers building content tools or internal platforms can rely on this AI image generation model to produce structured visuals that require minimal post-editing.
Automated Image Generation for SaaS
Developers can integrate the GPT Image 1.5 API into SaaS products and internal systems to automate image creation and editing tasks. Typical applications include user-generated content features, report visuals, and design previews generated on demand. With asynchronous execution and predictable outputs, the gpt-image-1.5 API fits well into scalable, high-throughput workflows.
FAQs About ChatGPT Image API
GPT Image 1.5 is OpenAI’s latest flagship image generation model, built for high-quality image creation and precise image editing. The GPT Image 1.5 API allows developers to generate and edit images programmatically within their own products.
Compared to GPT Image 1, the GPT Image 1.5 API provides more precise image editing, stronger instruction following, improved text rendering, and more consistent preservation of visual details. It also delivers faster generation and lower image input/output costs, making it better suited for production workloads.
Both are strong AI image models, but they emphasize different strengths. GPT Image 1.5 tends to be better for instruction-following and iterative editing, while Nano Banana Pro is often reported to perform better on certain languages and highly photorealistic renders. For production, the best choice depends on your specific prompts and templates.
When using the GPT Image 1.5 API on Kie.ai, you can manage API keys with usage limits, IP whitelisting, and monitoring tools. These controls help secure access and prevent unexpected usage in production environments.
You can find detailed GPT Image 1.5 API documentation on Kie.ai, including request structure, supported parameters, asynchronous task handling, callbacks, and usage guidelines. The documentation is designed to help developers integrate the API quickly and correctly.
You can test the GPT Image 1.5 API in the Kie.ai Playground before integrating it into your application. New users receive free credits, allowing you to experiment with text-to-image and image-to-image workflows without upfront cost.
Yes. The GPT Image 1.5 API on Kie.ai is built to support asynchronous execution and high-concurrency workloads. This makes it suitable for SaaS platforms, automation pipelines, and backend systems that require reliable performance under load.