Image Generation API

Guide for AI image generation APIs

9-Step Practical Guide to Integrating gpt-image-2 with the Official API: From Zero to Production

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Released by OpenAI in April 2026, gpt-image-2 has quickly become the most talked-about model in the image generation space. It boasts 99% character-level text rendering accuracy, 4K high-definition output, native Chinese/CJK support, and integrated O-series reasoning capabilities. However, the first question many developers ask after getting their hands on the model is: How exactly do … Read more

Which is stronger, GPT-Image-2 or Nano Banana 2? An 8-dimensional advantage comparison of text-to-image and image editing

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In the second quarter of 2026, the AI image generation market saw an unprecedented "twin star" landscape emerge: Nano Banana 2 (Gemini 3.1 Flash Image) was released on February 26th, challenging Pro-level quality with Flash-level speed, capable of generating images in just 1-2 seconds. GPT-Image-2 debuted on April 21st, setting a new industry benchmark with … Read more

Xiaohongshu FireRed Image Edit 1.1 In-depth Analysis: 5 Core Capabilities of Open Source Image Editing SOTA

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description: A comprehensive guide to Little Red Book's open-source FireRed Image Edit 1.1, featuring 5 core capabilities, benchmark data, and API integration details. Author's Note: This is a comprehensive breakdown of the open-source FireRed Image Edit 1.1 image editing model from Little Red Book (Xiaohongshu). We’ll cover its 5 core capabilities, benchmark data, technical architecture, … Read more

In-depth Analysis of Meituan LongCat-Image: 4 Key Advantages of a 6B Parameter Model Outperforming an 80B Large Language Model

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Author's Note: A comprehensive analysis of the open-source LongCat-Image image generation and editing model from Meituan. With only 6B parameters, it outperforms several 20B-80B models, provides full rendering support for all 8105 standard Chinese characters, and includes benchmark data and API access details. In the AI image generation world, bigger models usually mean better results. … Read more

Nano Banana Pro model invocation pitfalls: imageConfig determines resolution, do not add size parameter

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Many developers calling the Nano Banana Pro API (which corresponds to the Google gemini-3-pro-image-preview model) for the first time fall into the same trap: they reuse the size: "1024×1024" parameter from the OpenAI / DALL-E era. As a result, the image resolution either refuses to change, the request returns a 400 error, or the parameter … Read more

Does Nano Banana Pro support the Seed parameter? 1 definitive answer + 4 consistency alternatives

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"I passed a seed to Nano Banana Pro, and it threw an error: Invalid value at 'generation_config.seed' (TYPE_INT32). Does it actually support a seed or not?"—this was one of the most frequently asked questions in the Gemini image API community back in 2026. Let’s start with the conclusion: Nano Banana Pro (gemini-3-pro-image-preview) does not support … Read more

Which model is best for image upscaling? A guide to 6 mainstream AI upscaling models for 8K resolution and above

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"I have an old 1024×1024 photo, can I upscale it to 8K or even 16K for printing?" This is the most common question users and designers were asking AI tools in 2026. There’s an ever-growing list of tools marketed as "image upscalers": some are true super-resolution models (Real-ESRGAN, Topaz Gigapixel, SUPIR, Magnific), others are native … Read more

Why is TapNow AI’s Nano Banana Pro so stable? An analysis of the underlying API supply chain

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Author's Note: This article breaks down the product positioning of the TapNow AI platform and the secret behind the stability of its Nano Banana Pro image generation. We’ll reveal the technical architecture of its API supply chain and show you how to access the same high-quality API services through the same provider. If you've used … Read more

Mastering 3 Ways to Call the Nano Banana 2 API: A Complete Analysis of the Core Differences Between Vertex AI and AI Studio

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Author's Note: An in-depth comparison of the core differences between calling Nano Banana 2 (Gemini 3.1 Flash Image) via Vertex AI and AI Studio, covering authentication methods, endpoint configuration, rate limits, pricing differences, and best practices. Nano Banana 2 is Google's latest image generation model, but many developers face a key question when integrating it: … Read more

Nano Banana 2 Launches on Gemini App: Default 2K Resolution + Significant Text Rendering Improvement

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Author's Note: The Nano Banana 2 image generation model has officially arrived on the Gemini app. With the default resolution bumped up to 2K and text rendering that outshines Nano Banana Pro, here's our hands-on review and API guide. At 9 PM Beijing time on February 26, 2026, Nano Banana 2 made its debut on … Read more