PixPretty Integrations

GPT-Image-2.5 Flare is an image generation model hosted via the OpenAI API, designed to create visuals from text prompts and image inputs. It allows developers to generate new images or modify existing ones by utilizing the Images API, and it can be integrated into Responses API workflows to facilitate conversations and multiple-step processes. Users have the option to specify various image quality settings, including low, medium, high, xhigh, max, or auto, and can also adjust parameters like output size, format, and compression. OpenAI markets Flare as a solution for quick and routine image generation, contrasting with its GPT-Image-2.5 Sunburst model, which focuses on workflows that require meticulous editing. Aimed at developers and organizations seeking to incorporate image creation or editing capabilities into their applications, access to Flare necessitates API credentials. Additionally, the service operates on a token billing system, with costs varying based on text or image inputs, image outputs, and the choice between standard or batch processing, ensuring flexibility for different usage needs. This model represents a significant advancement in making image generation accessible and efficient for a variety of applications.

GPT-Image-2.5 Sunburst is a versatile image creation and editing model offered via the OpenAI API. Developers have the capability to provide text prompts and image submissions to produce new images or modify existing ones, with options for quality settings that range from low to premium. This model is designed for tasks that require meticulous adjustments, such as marketing campaigns and high-quality product visuals. It can be accessed through the Images API for straightforward image generation and editing, or utilized as the image creation component within the Responses API. Teams have the flexibility to integrate it into their products, creative tools, and automated visual processes. The billing for usage is based on token consumption, with distinct rates for text input, image input, and the output of generated images; additionally, lower rates are available for batch processing and cached inputs. By leveraging this model, developers can enhance their creative projects with sophisticated visual content tailored to their specific needs.

Nano Banana Pro builds on the momentum of its predecessor by introducing a new level of precision, realism, and creative control to image generation. Powered by Gemini 3 Pro, the model taps into deep reasoning and broad world knowledge to help users produce concept art, infographics, mockups, storyboards, and richly detailed visual explanations. One of its standout capabilities is its ability to generate sharp, readable text across multiple languages directly within the image, allowing creators to design posters, subtitles, and branding assets with accuracy. Through integration with Google Search, it can pull real-time facts and convert them into visual snapshots—such as recipe steps, plant profiles, or weather charts. Nano Banana Pro also excels at complex compositions, maintaining consistency across multiple characters, objects, and perspectives while blending as many as 14 inputs into a single coherent scene. Its editing tools provide fine-grained control over lighting, color grading, focus, shadows, and camera framing, giving artists the flexibility to shape any aesthetic. Users can convert sketches into finished products, combine disparate images into cinematic layouts, or modify environments from day to night with impressive fidelity. With broad availability across Gemini apps, Workspace, Ads, Vertex AI, and creative tools, Nano Banana Pro makes high-end imaging accessible to everyday users, professionals, and enterprises alike.

Nano Banana 2.1 is Google's updated high-efficiency model for AI image generation, image editing, and conversational visual creation. It succeeds Nano Banana 2 as Google's recommended high-efficiency image model while retaining Flash-level speed and cost efficiency. The model improves visual quality, text rendering, and consistency during multi-turn editing, making it suitable for workflows where users repeatedly modify an image through natural-language instructions. Nano Banana 2.1 generates images at 1K, 2K, and 4K resolutions and supports conventional portrait and landscape formats as well as extreme aspect ratios such as 1:8 and 8:1. Its text-rendering capabilities are designed for visuals containing legible and stylized writing, including infographics, diagrams, menus, and marketing assets. Multi-reference workflows support character resemblance for up to four characters and high-fidelity inclusion of as many as 10 referenced objects. Google Search grounding enables the model to verify information and create imagery based on current web information, while Google Image Search grounding can retrieve images from the web as additional visual context. Nano Banana 2.1 can also analyze video input and use its frames, visual themes, and events as context for generating new images such as thumbnails, posters, infographics, and related artwork. Developers can access the model through the Gemini API as gemini-nano-banana-2.1, and images generated by the model include Google's SynthID watermark.

Qwen-Image 2.0 represents the newest iteration in the Qwen series of AI models, seamlessly integrating both image generation and editing capabilities into a single, cohesive framework that provides exceptional visual content alongside top-notch typography and layout features derived from natural language inputs. This model facilitates both text-to-image creation and image modification processes through a streamlined 7 billion-parameter architecture that operates efficiently, yielding outputs at a native resolution of 2048×2048 pixels while managing extensive and intricate prompts of up to approximately 1,000 tokens. As a result, creators can effortlessly produce intricate infographics, posters, slides, comics, and photorealistic images that incorporate accurately rendered text in English and other languages within the graphics. By offering a unified model, users benefit from not needing multiple tools for image creation and alteration, which simplifies the iterative process of developing concepts and enhancing visual designs. Furthermore, the model's advancements in text rendering, layout design, and high-definition detail are engineered to surpass previous open-source models, setting a new standard for quality in the field. This innovative approach not only streamlines workflows but also expands creative possibilities for users across various industries.

Nano Banana offers a streamlined, user-friendly way to generate and edit images using Gemini’s “Fast” model. It focuses on fun, casual transformations, making it great for remixing selfies, trying new styles, or merging multiple pictures into a single creation. The model handles character consistency well, ensuring that people look like themselves even when placed in new settings or artistic interpretations. Users can easily perform spot edits like changing backgrounds, adjusting small details, or adding creative elements without needing advanced controls. Nano Banana also excels at playful results such as figurine effects, retro photo booth aesthetics, or themed portraits. These quick edits allow anyone to explore creative concepts in seconds. It’s built for low-effort, high-fun experimentation, making it perfect for social media content or personal projects. Nano Banana provides an approachable entry point for image generation without the depth or complexity of Pro-level features.

Nano Banana 2 is the newest evolution of Google’s image generation technology, merging the intelligence of Nano Banana Pro with the rapid performance of Gemini Flash. Designed for both speed and quality, it enables users to generate high-fidelity visuals with advanced reasoning capabilities. The model leverages Gemini’s world knowledge and real-time web grounding to render accurate subjects and informative visuals. It improves text rendering accuracy, allowing users to create legible designs and even translate text directly within images. Enhanced instruction adherence ensures the final output closely matches detailed and nuanced prompts. Nano Banana 2 supports consistent character and object representation across complex workflows, making it ideal for storytelling and creative production. It also provides flexible output formats, from 512px images to full 4K resolution. Visual fidelity upgrades bring sharper textures, richer lighting, and more vibrant detail. Integrated across products like the Gemini app, Search, AI Studio, Google Cloud Vertex AI, and Ads, it fits seamlessly into various workflows. By closing the gap between speed and quality, Nano Banana 2 delivers professional-grade image generation at Flash-level performance.

The Nano Banana 2 Lite represents Google's most rapid Gemini Image model within the Nano Banana series, engineered for exceptional speed, scalability, and throughput. Referred to as Gemini 3.1 Flash Lite Image, it caters specifically to fast-paced ideation and high-velocity developer pipelines that prioritize speed, rapid iteration, and efficient production processes. This model serves as the suggested upgrade over the original Nano Banana, allowing developers to reap immediate advantages across essential performance metrics while advancing their image generation and editing workflows through Google AI Studio, Gemini API, and the Gemini Enterprise Agent Platform. Tailored for near-real-time, high-volume tasks where ultra-low latency is paramount, Nano Banana 2 Lite provides text-to-image results in mere seconds, making it ideal for interactive prototyping, visual drafting, creative exploration, and extensive image generation. As the demand for speed and efficiency in image processing continues to grow, this model stands out as an invaluable tool for developers seeking to enhance their creative capabilities.

OpenAI's Images 2.5 is their cutting-edge image model, delivering enhanced detail, improved editing accuracy, quicker generation times, and superior tools for visual creation and refinement. It achieves more lifelike lighting and richer textures, ensures subjects in reference images are maintained more consistently, and adheres to editing requests with greater precision over multiple interactions. The reduction in generation latency by as much as 50% compared to Images 2.0 enables users to rapidly iterate their concepts. This model excels at implementing focused modifications to individual elements while preserving the integrity of the subject, composition, background, and surrounding details. Furthermore, during extended editing discussions, earlier revisions are more likely to stay intact, preventing any degradation in image quality over time. Images 2.5 also significantly enhances the understanding of intricate visual instructions, real-world contexts, artistic styles, transparent backgrounds, layouts, and complex compositions, facilitating a more intuitive creative process. Ultimately, this advancement allows for a more seamless and dynamic user experience in visual editing.

ChatGPT Images 2.6 is an AI-powered image generation and editing model from OpenAI that helps users create visual content through conversational prompts and reference images. The model can generate original images from written descriptions and modify existing photographs, illustrations, and other visual assets. Its image editing capabilities allow users to request changes to subjects, backgrounds, compositions, colors, and other visual elements without manually editing each component. A major addition is native animated GIF generation, which enables users to turn text descriptions or uploaded images into short looping animations. Users can control GIF playback speed, review individual animation frames, and make targeted frame-level edits to improve the finished result. The model builds on earlier ChatGPT Images capabilities for visual detail, instruction following, reference image editing, and iterative creative refinement. Its faster generation performance helps users explore multiple creative concepts and revise images through natural language conversations. ChatGPT Images 2.6 is being introduced across ChatGPT and Codex on web, desktop, and mobile platforms, with availability depending on the rollout. Developers can also access GPT-Image-2.6 Flare for speed-oriented generation and GPT-Image-2.6 Sunburst for quality-focused image production through OpenAI's API.

GPT-Image-2.6 Flare is a generative AI image model developed by OpenAI to provide fast image creation for developers, businesses, and creative applications. As the speed-focused variant of the GPT-Image-2.6 model family, it is designed for workflows that require responsive visual generation and frequent creative iterations. The model uses natural language instructions to generate images depicting objects, environments, characters, illustrations, and other visual concepts. Its image generation capabilities can support marketing campaigns, social media graphics, advertising materials, website imagery, and digital content production. Developers can integrate Flare into applications that automatically generate visual assets based on user prompts or application-generated instructions. The model is particularly relevant to interactive creative tools where users need to explore different concepts and generate multiple image variations efficiently. Its emphasis on generation speed makes it suitable for automated content pipelines, rapid prototyping, and large-scale creative workflows. GPT-Image-2.6 Flare is offered alongside GPT-Image-2.6 Sunburst, giving developers a choice between speed-oriented generation and a model that prioritizes visual quality. OpenAI introduced the model as part of its Images 2.6 update, which also expands image creation capabilities across ChatGPT and Codex.

GPT-Image-2.6 Sunburst is a generative AI image model developed by OpenAI to create and edit detailed visual content using natural language prompts. As the quality-oriented variant of the GPT-Image-2.6 model family, it is designed for creative workflows where image fidelity and precise editing are particularly important. The model can generate original artwork, illustrations, photographs, promotional graphics, and other visual assets from written descriptions. Its image editing capabilities allow users to provide existing images and request changes to visual elements, compositions, backgrounds, and artistic styles. Reference-based editing helps creators refine existing designs while using supplied images to guide the desired result. The model supports iterative creative workflows in which users progressively adjust visual content through additional instructions. Developers can incorporate Sunburst into applications for digital design, marketing content production, ecommerce imagery, advertising, and multimedia creation. OpenAI introduced the model alongside GPT-Image-2.6 Flare, which emphasizes faster generation for applications requiring greater responsiveness. GPT-Image-2.6 Sunburst provides a quality-focused option for organizations integrating AI image generation and editing into professional creative tools and automated production workflows.

ChatGPT Images 2.0 is an advanced AI-powered image generation model created by OpenAI to deliver more accurate and practical visual outputs. It introduces a reasoning-based approach, allowing the system to plan and interpret prompts before generating images. This results in improved accuracy, better composition, and more consistent visual details. The platform excels at rendering text within images, supporting multilingual typography with high precision. It can generate multiple related images from a single prompt while maintaining consistency across characters and scenes. The model supports higher resolutions and flexible aspect ratios, making it suitable for professional use cases. ChatGPT Images 2.0 is designed for real-world applications such as marketing, presentations, storyboards, and product visuals. It also integrates with ChatGPT, making image creation part of a broader workflow. Compared to earlier versions, it provides more reliable outputs with fewer distortions or errors. The system can handle complex layouts, including infographics and UI designs. By combining reasoning, accuracy, and flexibility, ChatGPT Images 2.0 represents a major step forward in AI-generated visuals.