PixPretty Integrations

GPT-Image-2.5 Sunburst is an image-generation and editing model available through the OpenAI API. Developers can send text prompts and image inputs to generate new visuals or revise existing images, and can select quality levels ranging from low to max. The model is intended for workflows that need precise edits, including campaign creative and polished product imagery. It can be called through the Images API for direct image creation and editing, or as the image-generation tool in the Responses API. Teams can incorporate it into their own products, creative applications, and automated visual workflows. Usage is billed by token consumption: text input, image input, and generated image output have separate rates, with lower rates available for batch processing and cached inputs.

GPT-Image-2.5 Flare is a hosted image-generation model available through the OpenAI API. It accepts text prompts and image inputs and produces image outputs. Developers can call it through the Images API to generate images or edit supplied images, or use it as an image-generation tool within Responses API workflows that support conversations and multiple steps. Requests can set image quality to low, medium, high, xhigh, max, or auto, and configure output size, format, and compression. OpenAI positions Flare for fast, everyday image generation, while its GPT-Image-2.5 Sunburst model is intended for workflows prioritizing precise editing. The model is designed for developers and organizations adding image creation or editing to their own applications. Access requires API credentials, and usage is billed by tokens, with rates depending on text or image input, image output, and standard or batch processing.

Nano Banana Pro is Google DeepMind’s advanced evolution of the original Nano Banana, designed to deliver studio-quality image generation with far greater accuracy, text rendering, and world knowledge. Built on Gemini 3 Pro, it brings improved reasoning capabilities that help users transform ideas into detailed visuals, diagrams, prototypes, and educational content. It produces highly legible multilingual text inside images, making it ideal for posters, logos, storyboards, and international designs. The model can also ground images in real-time information, pulling from Google Search to create infographics for recipes, weather data, or factual explanations. With powerful consistency controls, Nano Banana Pro can blend up to 14 images and maintain recognizable details across multiple people or elements. Its enhanced creative editing tools let users refine lighting, adjust focus, manipulate camera angles, and produce final outputs in up to 4K resolution.

Nano Banana 2.1 is Google's high-efficiency AI image generation and conversational editing model, released on October 6, 2026 as an update to Nano Banana 2. The model maintains Flash-level speed and cost efficiency while improving visual quality, text rendering, and consistency across multi-turn image editing workflows. It supports native image generation at 1K, 2K, and 4K resolutions with a wide selection of aspect ratios ranging from 1:8 to 8:1. Users can combine multiple reference images, with support for maintaining the resemblance of up to four characters and high-fidelity representation of up to 10 objects within a workflow. Nano Banana 2.1 can use Google Search and Google Image Search for grounding, allowing generated visuals to incorporate information and visual context retrieved from the web. The model also supports video-to-image generation and is available through the Gemini API under the gemini-nano-banana-2.1 model identifier.

Qwen-Image 2.0 is the latest AI image generation and editing model in the Qwen family that combines both generation and editing in a single unified architecture, delivering high-quality visuals with professional-grade typography and layout capabilities directly from natural-language prompts. It supports text-to-image and image editing workflows with a lightweight 7 billion-parameter model that runs quickly while producing native 2048x2048 resolution outputs and handling long, detailed instructions up to about 1,000 tokens so creators can generate complex infographics, posters, slides, comics, and photorealistic scenes with accurate, well-rendered English and other language text embedded in the visuals. The unified model design means users don’t need separate tools for creating and modifying images, making it easier to iterate on ideas and refine compositions.

Nano Banana is Gemini’s fast, accessible image-creation model designed for quick, playful, and casual creativity. It lets users blend photos, maintain character consistency, and make small local edits with ease. The tool is perfect for transforming selfies, reimagining pictures with fun themes, or combining two images into one. With its ability to handle stylistic changes, it can turn photos into figurine-style designs, retro portraits, or aesthetic makeovers using simple prompts. Nano Banana makes creative experimentation easy and enjoyable, requiring no advanced skills or complex controls. It’s the ideal starting point for users who want simple, fast, and imaginative image editing inside the Gemini app.

Nano Banana 2 is Google DeepMind’s latest image generation model, combining the advanced capabilities of Nano Banana Pro with the high-speed performance of Gemini Flash. It delivers improved world knowledge, enabling more accurate subject rendering and data-driven visuals grounded in real-time information. The model enhances precision text rendering and translation, making it ideal for marketing assets, infographics, and localized content. Users benefit from stronger instruction following, ensuring complex prompts are captured accurately. Nano Banana 2 supports subject consistency across multiple characters and objects within a single workflow. It offers production-ready output with customizable aspect ratios and resolutions up to 4K. Available across Gemini, Search, AI Studio, Google Cloud, and more, Nano Banana 2 brings high-quality visual generation at lightning-fast speed.

Nano Banana 2 Lite is Google’s fastest Gemini Image model in the Nano Banana family, built for high throughput, speed, and scale. Also known as Gemini 3.1 Flash Lite Image, it is designed for rapid ideation and high-velocity developer pipelines where speed, iteration, and efficient production are the primary constraints. Developers can use it as the recommended replacement for the first version of Nano Banana, gaining immediate benefits across key performance dimensions while continuing to build image-generation and editing workflows through Google AI Studio, the Gemini API, and Gemini Enterprise Agent Platform. Nano Banana 2 Lite is optimized for near-real-time, high-volume workflows where ultra-low latency is critical, delivering text-to-image outputs in just a few seconds and making it well-suited for interactive prototyping, visual drafting, creative exploration, and large-scale image generation.

ChatGPT Images 2.5 is OpenAI’s state-of-the-art image model, bringing sharper details, more precise editing, faster generation, and better tools for creating and refining visual ideas. It produces more natural lighting and richer textures, preserves subjects in reference photos more reliably, and follows editing instructions more precisely across multiple turns. Generation latency is reduced by up to 50% compared with Images 2.0, helping users iterate on concepts more quickly. The model is better at making focused changes to a single element while keeping the subject, composition, background, and surrounding details consistent. Across longer editing conversations, earlier changes are more likely to remain intact without image quality degrading over time. Images 2.5 also improves understanding of complex visual instructions, real-world information, visual styles, transparent backgrounds, layouts, and detailed compositions.

ChatGPT Images 2.6 is an AI image generation and editing model developed by OpenAI that enables users to create, modify, and animate visual content using natural language instructions. The model supports text-to-image generation, image editing, and visual transformations for creative, professional, and everyday applications. Its animated GIF capabilities allow users to generate moving images from text prompts or uploaded photographs without requiring separate animation software. Users can adjust animation playback speed, inspect individual frames, and edit specific frames to refine their results. ChatGPT Images 2.6 also improves image generation speed and supports iterative editing through conversational instructions and reference images. The model is available through ChatGPT and Codex, with GPT-Image-2.6 Flare and GPT-Image-2.6 Sunburst API variants providing options for faster generation and higher-quality creative output.

GPT-Image-2.6 Flare is an AI image generation model developed by OpenAI for creating visual content quickly and efficiently through natural language prompts. The model is the speed-optimized variant of the GPT-Image-2.6 family, designed for applications that prioritize fast image generation and iterative creative workflows. It enables users to generate original images from text descriptions and supports image-based creative workflows through OpenAI's image generation technology. Developers can use the model to power visual content creation, marketing graphics, illustrations, product imagery, and automated design applications. GPT-Image-2.6 Flare is intended to reduce the time required to generate and refine visual assets, making it suitable for applications involving frequent image requests. The model is part of OpenAI's image generation API offerings alongside GPT-Image-2.6 Sunburst, which emphasizes higher-quality creative output.

GPT-Image-2.6 Sunburst is an AI image generation and editing model developed by OpenAI for producing high-quality visual content through natural language instructions. The model is the quality-focused variant of the GPT-Image-2.6 family, designed for creative applications that prioritize visual detail, image fidelity, and editing precision. It enables users to generate original images from text descriptions and modify existing photographs, illustrations, and digital artwork using conversational prompts. Its capabilities support creative workflows involving image composition, visual transformations, reference images, and iterative editing. Developers can integrate the model into applications for graphic design, advertising, digital content creation, product visualization, and automated image production. GPT-Image-2.6 Sunburst is offered alongside GPT-Image-2.6 Flare, giving developers options for balancing image quality and generation speed.

ChatGPT Images 2.0 is a next-generation AI image generation system developed by OpenAI to create high-quality visuals from text prompts. It introduces advanced visual reasoning, allowing the model to “think” through prompts before generating images. The system significantly improves text rendering, making it possible to include accurate and readable text inside images. It supports multilingual content, enabling users to generate visuals with text in multiple languages. ChatGPT Images 2.0 can produce multiple consistent images from a single prompt, maintaining characters and objects across variations. The model also offers higher resolution outputs and better control over layout and composition. It is designed to move beyond simple image generation into practical design use cases like presentations, marketing visuals, and UI mockups. By combining reasoning with image creation, it delivers more accurate and usable visual results.