Is this really GPT Image 2?

No. GPT Image 2 has not been publicly released by OpenAI. This playground uses Doubao Seedream and Google Gemini Nano Banana 2 — the best image models available today. When OpenAI ships GPT Image 2, it will appear as a selectable model in this same tool.

Yes. 5 generations per day per IP, no login, no card. We hold the API keys and pay the per-image cost ourselves. If you need higher volume, use the underlying APIs directly.

Can I use the output commercially?

Yes, subject to each underlying provider's terms of service. Doubao Seedream and Google Gemini both permit commercial use of generated content, with some restrictions on generating real-person likenesses and regulated content.

Do you store my prompts?

We store prompts only long enough to forward them to the image provider. We do not retain prompts, generated images, or your IP address beyond the rate-limiting window (24 hours).

When will GPT Image 2 be added?

The day OpenAI officially releases it. Current best-estimate window is late May to early June 2026.

Why are you allowed to call this 'GPT Image Design'?

The domain name references the broader AI image category. We make no claim of affiliation with OpenAI, and our tool clearly labels every generated image with the actual provider. All trademarks belong to their respective owners.

What if I hit the daily limit?

Wait until UTC midnight for a reset, or use the underlying provider APIs directly with your own key.

Are generated images watermarked?

Visibly, no. Each provider embeds C2PA metadata that indicates the image is AI-generated — this survives basic editing in C2PA-aware tools and is the industry standard for content authenticity.

FLUX 2 vs Nano Banana 2

Name: GPT Image Design
Author: GPT Image Design

TL;DR

Choose FLUX 2 if you want more deployment flexibility, open-weight options in parts of the lineup, and model variants tuned for different production jobs such as typography or bulk generation. Choose Nano Banana 2 if you want a simpler edit-first workflow with Google’s broader model platform and easier access to a polished API experience.

In short: FLUX 2 is a better toolbox. Nano Banana 2 is often the easier default service.

Decision Table

| Factor | FLUX 2 | Nano Banana 2 | Better fit | |---|---|---|---| | Model lineup | multiple variants for different jobs | more unified experience | teams that optimize workflows | | Openness | some open or local-friendly options | service-oriented | builders needing flexibility | | Typography | FLUX.2 flex is specialized | good general capability | text-heavy design tasks | | Editing loop | strong in higher-end variants | strong in conversational edits | depends on team habit | | Default choice | configurable stack | simpler stack | enterprise vs generalist |

What Makes FLUX 2 Different

Black Forest Labs explicitly segments FLUX.2 into variants such as klein, max, pro, and flex. That gives teams a more deliberate model-routing strategy. You can use a faster model for volume, a stronger one for hero assets, and a typography-oriented one for text-heavy images. That is powerful if your team is willing to manage complexity.

What Makes Nano Banana 2 Easier

Nano Banana 2 is attractive when you want one practical default. Google’s pricing and developer documentation make the path easier for product teams that want image generation without building a routing system. If your team already works inside Gemini tooling, the operational case gets stronger.

Practical Recommendation Table

| Use case | Better default | |---|---| | bulk concept generation | FLUX.2 klein | | typography-sensitive graphics | FLUX.2 flex | | app feature with natural edits | Nano Banana 2 | | one-model operational simplicity | Nano Banana 2 | | custom routing by job type | FLUX 2 |

Recommended Evaluation Checklist

Compare one typography prompt.
Compare one reference-based edit workflow.
Compare one high-volume generation task.
Compare one final-asset prompt.
Score output quality and total engineering overhead separately.

Common Mistakes To Avoid

Comparing only one FLUX variant against one Google workflow.
Ignoring operational overhead when choosing a model family.
Using a high-end model for batch drafts that do not need it.
Assuming openness automatically means lower real cost.

Related Guides

Primary References

FAQ

Which is better for text overlays?

FLUX.2 flex is the most obvious model family to test first because Black Forest Labs specifically positions it for typography.

Which is better for shipping inside an app?

Nano Banana 2 is often simpler if your team wants a single service and straightforward developer onboarding.

Is FLUX 2 cheaper?

Some FLUX.2 variants are very competitive, but the real answer depends on resolution, routing, and which variant you choose.

Should I route different jobs to different models?

Yes, if your volume is high enough to justify the extra setup.

GPT Image Design is not affiliated with OpenAI. All trademarks belong to their respective owners.

FLUX 2 vs Nano Banana 2: Which Model Fits Your Workflow?