Create
Generate images with GPT Image 2 on a single-model workspace pinned to GPT Image 2 — clean prompts, transparent credit cost, exportable results.
One prompt, one model, one cleanly composed image.
OpenAI's SOTA image generator and editor — hi-fi image inputs, flexible sizes, top prompt adherence. This page locks the model picker to GPT Image 2 so every render is a like-for-like comparison: same engine, same defaults, same credit cost. Strengths people pick this model for include higher fidelity, detailed images, photorealistic images. Type a prompt, optionally add a negative prompt, and the orchestrator routes the request through the same pipeline chat uses — file storage, credits, run history, all inherited. No watermarks, no on-image text unless you ask, no surprise restyling. The result drops into your Tool Runs so you can re-render variations or send it through Edit Images with GPT Image 2 for a follow-up pass.
Five steps to a usable hero shot.
Strengths called out on OpenAI's own model card.
Why people pick this model
GPT Image 2 is consistently picked for higher fidelity — it shows up first on OpenAI's own published model card and again in real-world side-by-side tests.
Where it edges the competition
Detailed Images is the named differentiator on GPT Image 2 versus other OpenAI releases — useful when this is the axis that actually matters for your output.
A strength on the model card
If your job hinges on photorealistic images, GPT Image 2 is the lane to choose; the model team optimized for this trade-off explicitly.
What it is consistently good at
High-fidelity image inputs is the reason GPT Image 2 gets the dedicated landing page instead of being buried behind the multi-model picker.
Mood-first frames
Use GPT Image 2 for pitch decks, moodboards, and explorations where look-and-feel matter more than literal fidelity.
Hero shots on demand
Spin clean product hero frames for landing pages and ads — pair with Background Remover for compositing.
Concrete use-cases that justify a dedicated landing page.
And why pinning the model matters.
Image generators differ in subtle, expensive ways: how they handle hands, how they compose negative space, how aggressively they restyle wardrobe and signage. GPT Image 2 has a specific aesthetic — openai's sota image generator and editor — hi-fi image inputs, flexible sizes, top prompt adherence. — and you should pick a tool around it, not in spite of it. The dedicated landing lets you build an intuition for the model: same engine, same defaults, same cost per render. Pair it with Edit Images with GPT Image 2 when you want to keep the same look across follow-up passes.
Small adjustments that meaningfully improve output quality.
GPT Image 2 is an AI image generator built by OpenAI. OpenAI's SOTA image generator and editor — hi-fi image inputs, flexible sizes, top prompt adherence. On Gab AI it's available as a standalone, pinned tool — runs through the same orchestrator, credits, and file pipeline as chat.
Anyone with a Gab AI account can run GPT Image 2. Each run deducts the model's per-request credit cost from your balance — there's no surprise per-month fee.
Credit cost is set on the underlying GPT Image 2 model, not on this tool. The form recalculates and displays the exact cost as you change resolution and number of variants, so you see the bill before you submit — never after.
Commercial use depends on OpenAI's terms for GPT Image 2, not on Gab AI. As a rule of thumb, generated images you make from your own prompts on a paid plan are yours to use; double-check the model card for your specific use case (logos, person-of-interest, trademarked content).
GPT Image 2 does not embed visible watermarks by default in this pipeline. Some vendors apply invisible content-credential markers — that behaviour is on the model, not on the tool.
Because every model is different and the multi-model picker quietly hides those differences. Pinning GPT Image 2 to its own tool gives you predictable cost, consistent style, and a fair lane for comparing one model's output against another's without confusing the cause of the difference.
Yes — every model gets the same kind of landing page. Use the catalog at /tools to browse all model-playground tools, or pick a different one from the related tools section below.
Every run lands in your Tool Runs (under My Library). You can revisit, download, fork, or continue any run in chat for follow-up work.
One model, one form, one good result.
Stop arguing with a model picker mid-project. Pin GPT Image 2 as your engine of choice, run the form above, and let the orchestrator handle credits, file storage, and run history exactly the way it does for chat. Everything you generate is yours, saved to your Tool Runs, and ready to fork or continue.