Image 2 AI Image Generator with GPT Images 2.0 and Nano Banana 2 | Image 2

What

Image 2 is a multi-model AI image generator and editor that combines GPT Images 2.0, Nano Banana 2, and Seedream 5 Lite in one workflow. It appears aimed at creative teams, marketers, ecommerce users, and other visual content producers who need text-to-image generation, image-to-image editing, reference-based editing, and model comparison without switching between separate tools.

Features

• Multi-model image workflow: Run generation and editing from one interface while choosing among GPT Images 2.0, Nano Banana 2, and Seedream 5 Lite based on the task.
• Text and image input modes: Create from prompts or upload reference images for image-to-image editing, visual continuation, and style-guided outputs.
• Reference-based creation: Support for up to 16 reference images on GPT Images 2.0 and up to 14 on Nano Banana 2 and Seedream 5 Lite helps with consistency and controlled revisions.
• Output controls by model: Adjust settings such as aspect ratio, quality, resolution, output format, and safety checks where supported by the selected model.
• Use-case-specific model positioning: GPT Images 2.0 is presented for general visual generation, Nano Banana 2 for controlled reference editing and text rendering, and Seedream 5 Lite for infographics and structured visuals.

Helpful Tips

• Match the model to the job: Use a general model first for broad concepting, then move to reference-focused or structured-visual models when consistency, layout, or information density matters more.
• Test with a small iteration loop: Start with one prompt and a limited set of references, review the first output, then refine prompt wording, references, or model choice before scaling production.
• Check model-specific limits: Reference capacity and output controls vary by model, so teams should confirm these settings before building repeatable workflows.
• Evaluate workflow fit beyond generation quality: For team use, the main differentiator here is centralized model comparison and iteration, not necessarily unique model ownership or exclusive image capabilities.