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I Built GPT Image 2.5: AI Image Generation with Both Classic Prompts and a Chat Agent

A developer built GPT Image 2.5, a web-based AI image generation and editing workspace that supports both a traditional prompt-based workflow and a conversational agent mode. The tool offers Flare for fast creative exploration, Sunburst for detail-focused editing, and GPT Image 2 for prior-generation workflows, with the agent designed to help users who struggle to translate ideas into effective prompts. The project is described as early-stage and open to feedback from developers, designers, marketers, and creators.

by read2 min views2 publishedSep 10, 2026

I recently built GPT Image 2.5, a web-based AI image generation and editing workspace:

Most AI image tools follow the same pattern: choose a model, write a prompt, select a size, click generate, and wait for the result. That workflow is still useful, so GPT Image 2.5 supports the classic image generation flow.

But I also wanted to explore a more natural way to create images: generating through conversation.

GPT Image 2.5 currently supports both workflows:

The traditional mode is good when you already know what you want. You can write a prompt, upload a reference image, choose the model and output size, then generate or edit the image directly.

The AI agent mode is different. Instead of filling out everything manually, you can chat with the agent about what you want to create. For example, you can describe a product photo, a poster idea, a portrait style, or a marketing visual, and the agent helps turn that conversation into an image generation task.

This makes the workflow feel closer to working with a creative assistant:

The workspace includes Flare, Sunburst, and GPT Image 2.

Flare is useful for fast creative exploration. Sunburst is better suited for more detail-focused editing. GPT Image 2 remains available for workflows built around the previous generation.

Some example use cases:

A lot of people do not naturally think in “prompt format.” They may know the result they want, but not how to describe it in a way that works well for an image model.

The agent helps bridge that gap.

Instead of forcing users to write a polished prompt immediately, the site lets them describe the idea conversationally. The agent can help shape the request, clarify the visual direction, and guide the generation process.

For developers and makers, I think this is an interesting direction: AI image tools do not have to be just prompt boxes. They can become interactive creative workspaces. The project is still early, and I am working on improving:

I would love feedback from developers, designers, marketers, and creators who use AI images in real workflows.

Website: https://gpt-image-2-5.org/

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