GPT Image 2
Studio-grade AI text-to-image generation and editing workspace.
What is GPT Image 2?
Nano AI is an advanced AI-powered platform featuring GPT Image 2, a studio-grade text-to-image engine driven by the GPT Image 2.0 pipeline. Popularly known among creators via search terms like nano banana, nano-banana, and nanobnan, the platform excels at creating high-fidelity images, rendering clean typography, and locking consistent character identities across scenes. In addition to text-to-image generation, users frequently visit the nano banana ai ecosystem (often searched as нано банана официальный сайт or nanobabama) for its native tools like background removal and image-to-image modification, consolidating creative workflows into a single surface.
Category
Best GPT Image 2 use cases by task, role, industry, and platform
These use cases show where GPT Image 2 fits best, ranked by fit score before popularity or pricing.
GPT Image 2 Pricing Plans
Compare GPT Image 2 free options, GPT Image 2 paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Starts at $10/mo
1,000 credits/mo. Includes commercial rights, no watermarks, private workspace, faster queueing, approx. 100 NanoBnana 1 renders or 41 NanoBnana 2 renders.
2,000 credits/mo. Includes all Basic features plus shared workspaces with seat controls, private prompt libraries, batch queue concurrency bursts, and usage analytics.
5,000 credits/mo. Includes all Pro features with a higher monthly credit allowance for intensive production workloads.
Pricing updated:Jun 12, 2026
GPT Image 2 AI Features
GPT Image 2 Pros and Cons
Pros
- Crisp 2K default outputs with optional 4K upscaling
- Excellent text spelling accuracy for logos and posters
- Character locking feature keeps subjects recognizable across scenes
- Supports natural language edits without complex masks or layers
- All paid plans grant permanent commercial usage rights
Limitations
- Image generation jobs pause instantly when credits reach zero
- Advanced features like shared workspaces and batch queues are locked to higher tiers
- Renders consume a variable number of credits based on chosen model quality