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.

Seedream vs Nano Banana 2: Head-to-Head

Name: GPT Image Design
Author: GPT Image Design

Last updated: 2026-04-18

Seedream and Nano Banana 2 solve slightly different image-generation jobs even when they look close on demo images. As of 2026-04-18, the useful comparison is not hype but where each model feels stronger on text, realism, speed, and retry efficiency.

TL;DR

If your work depends on multilingual layouts, structured posters, and guided design intent, Seedream is the more interesting choice. If your team cares more about fast edits, broad API accessibility, and image-plus-text workflows inside the Google stack, Nano Banana 2 is usually easier to operationalize. The better model depends less on headline quality and more on what type of production bottleneck you are trying to remove.

This article uses the community name "Nano Banana 2" for Google’s newer Gemini image-generation family where relevant.

Decision Table

| Decision factor | Seedream | Nano Banana 2 | Who should pick it | |---|---|---|---| | Design intent understanding | Strong, especially on layout-aware prompts | Strong, especially on interactive edits | design teams with concept-heavy briefs | | Editing workflow | improving fast, but platform-dependent | strong natural-language edit loop | teams iterating from references | | Multilingual text | strong public positioning | good, but varies by language/layout | multilingual design ops | | Ecosystem accessibility | more fragmented by platform | easier for many Google API users | developers and product teams | | Practical pick | better for layout-sensitive generation | better for general iterative workflows | depends on workflow shape |

What The Official Signals Suggest

ByteDance’s Seed team positions Seedream 5.0 Lite around stronger reasoning, improved editing response, and better real-world performance. Google positions Gemini image generation around speed, flexibility, contextual understanding, and natural-language editing. Those are not the same promise. Seedream leans harder into design intelligence. Nano Banana 2 leans harder into broad workflow utility.

Head-to-Head Criteria

1. Prompt following

Seedream tends to be the more attractive pick when the brief sounds like a designer wrote it: controlled layout, intent, composition, and business context. Nano Banana 2 usually feels more forgiving in general-purpose prompting, especially when teams want conversational iteration rather than tightly engineered prompts.

2. Editing and revision

Nano Banana 2 has an advantage when the team edits from references repeatedly and wants short language loops like "make the jacket navy" or "move the headline area higher." Seedream is improving fast, but the workflow experience depends more on the surface you are using.

3. Text in images

For poster-like work, menu headers, or bilingual compositions, Seedream deserves closer testing. ByteDance has publicly emphasized text and layout capability across generations. Nano Banana 2 can still be the right operational choice, but do not assume equal performance on multilingual structured layouts.

4. Speed and deployment comfort

Google’s pricing and API documentation are easier for many teams to adopt quickly. That matters if you are shipping product features rather than running a design lab. Seedream may still win the visual task, but Nano Banana 2 can win the workflow decision.

Practical Recommendation Table

| If your job is mostly... | Better default | |---|---| | ad variants and iterative edits | Nano Banana 2 | | multilingual promo graphics | Seedream | | image generation inside product flows | Nano Banana 2 | | layout-sensitive campaign comps | Seedream |

Testing Workflow I Recommend

Run the same 10 prompts across both models.
Include at least 3 text-heavy layouts and 3 edit-follow-up tasks.
Score prompt adherence, text quality, edit stability, and time-to-usable-output.
Decide based on production yield, not on single hero images.

Common Mistakes To Avoid

Picking based on one viral example.
Judging only raw aesthetics and ignoring edit turnaround.
Assuming one model wins every category.
Forgetting multilingual tests if your market is global.

Related Guides

Sources

Source: Seedream 5.0 Lite announcement, 2026-04-18 Source: Gemini image generation announcement, 2026-04-18 Source: Gemini API pricing, 2026-04-18

Example Prompt

Prompt: Side-by-side benchmark scene, same fashion product photographed in two adjacent panels, neutral studio lighting, consistent framing.
Model: Seedream 5 Lite | Nano Banana 2
Settings: 16:9, medium quality, seed 5801

Test this setup in the playground.

FAQ

Which is better for marketing teams?

If the team edits constantly and wants fast API adoption, Nano Banana 2 is usually easier. If text-heavy layouts matter more, Seedream deserves priority testing.

Which is better for multilingual graphics?

Seedream is the one I would test first for that specific use case.

Is one clearly cheaper?

Google exposes pricing more transparently in public docs. For Seedream, pricing can depend more on the platform or channel you use.

Should I replace all other models with one of these?

No. Most teams benefit from a two-model stack: one for fast edits and one for layout-sensitive generation.

Our playground uses ByteDance Seedream and Google Gemini Nano Banana 2. Not GPT Image 2. GPT Image Design is not affiliated with OpenAI, ByteDance, or Google. All trademarks belong to their respective owners.

Seedream vs Nano Banana 2: Head-to-Head for Design Work