--- title: "GPT Image 2 Online Studio — AI Image Generator" url: https://imagev2.me/gpt-image-2 canonical: https://imagev2.me/gpt-image-2 locale: "en" description: "Generate images with GPT Image 2 (gpt-image-2) — OpenAI's flagship model. Text-to-image from $0.006. Up to 4K resolution, image editing, multilingual text. Start free." --- # GPT Image 2 gpt-image-2 · ChatGPT Images 2.0 OpenAI's flagship model for commercial images with accurate text, editable workflows, and API control. If you're coming from DALL·E 3, this is the upgrade path. No credit card required · Free credits to start --- ## What is GPT Image 2? GPT Image 2 is OpenAI's flagship image generation and editing model. It is the right first choice when the output needs readable text, long compositional instructions, product-like precision, or multilingual typography inside the image. On imagev2.me this page locks the editor to gpt-image-2-text-to-image, so every prompt bar routes directly into the GPT Image 2 workflow. You can inspect public renders, compare it with sibling engines, then generate without carrying parameters through a query string. --- ## GPT Image 2 key capabilities Six strengths that make GPT Image 2 the safe default for commercial text-to-image work. ### 1. Readable typography Quote a literal headline, sign, label, or menu item and the engine is much more likely to render the exact characters. ### 2. Long prompt obedience Scene layout, camera language, lighting, and copy can live in one paragraph without the back half being ignored. ### 3. Multilingual output Use it for CJK, Arabic, Hebrew, Latin, and mixed-script layouts when text clarity matters. ### 4. Commercial compositions Posters, product shots, UI mockups, infographics, and packaging concepts stay structured rather than purely aesthetic. ### 5. Image-to-image path The sibling edit model lets you carry the same concept into reference-image workflows when a blank canvas is not enough. ### 6. Neutral art direction It follows your requested style instead of forcing a single signature look, which makes client work easier to control. --- ## How to use GPT Image 2 in 3 steps The page is already locked to the model; you only need a prompt and an aspect ratio. 1. **Describe the deliverable** — Write the subject, format, style, and any exact text you need. Put literal words in quotes. 2. **Keep the engine locked** — This page locks the editor to GPT Image 2, so every prompt uses this model automatically. 3. **Generate, then refine** — Use the first render as a direction. If typography or layout needs a localized change, switch into the edit flow. --- ## 6 best use cases for GPT Image 2 Use it whenever the image is judged on instruction-following, not just vibe. - **Event posters**: Headlines, dates, venues, and visual hierarchy can be baked into the image. - **Packaging mockups**: Create product concepts where labels, flavor names, and warnings need to stay legible. - **Educational diagrams**: Generate labelled illustrations for science, onboarding, and explainer content. - **UI and app concepts**: Draft app screens, widgets, and dashboard scenes with readable interface text. - **Editorial banners**: Make hero images that combine photographic direction with pull-quote style typography. - **Multilingual campaigns**: Test localized creative for markets where Latin-only image models fall apart. --- ## Should You Use GPT Image 2? ### Best For - Text-heavy posters - UI mockups - Product shots - Infographics - Image-to-image editing - Up to 16 reference images ### Not Ideal For - Pixel-perfect layouts - Multi-round character consistency - Transparent backgrounds (not supported by this model) - Pure aesthetic hero shots ### Consider Instead - Midjourney v7 — aesthetics - FLUX 1.1 Pro — cheap & fast - Ideogram 3 — typography/logo - DALL·E 3 — legacy only --- ## Key Parameters & Pricing **Resolution**: Up to 3840px edge. 16px multiples. Max 3:1 ratio. Common: 1024², 2048², 4K. **Quality**: low (draft) · medium · high · auto. >2560×1440 = experimental. **Output**: PNG (default), JPEG (faster), WebP. Compression 0-100. N=1-10. **No style param**: vivid/natural is DALL·E 3 only. Style control via prompt + reference images. ## Cost Per Image (1024×1024) | Quality | OpenAI API | imagev2.me | |---|---|---| | Low (draft) | ~$0.006 | 3 credits | | Medium | ~$0.053 | 3 credits | | High | ~$0.211 | 3 credits | imagev2.me charges by resolution, not quality: 3 credits (1K), 5 credits (2K), 8 credits (4K). OpenAI token rates: text input $5/M, image input $8/M, image output $30/M. --- ## GPT Image 2 vs DALL·E 3 The old DALL-E flow is simple, but GPT Image 2 is the stronger production choice for text, editing, and resolution control. | | GPT Image 2 | DALL·E 3 | |---|---|---| | Status | Current flagship | Previous gen (sunset planned) | | Resolution | Any size up to 4K | 3 fixed presets | | Batch (n) | 1–10 | 1 only | | Editing | Ref images + mask | Generation only | | Text render | Strong (multilingual) | Basic | | Style param | None (use prompt) | vivid / natural | Bottom line: DALL·E 3 is legacy. For new projects, start with GPT Image 2. For pure aesthetics, try Midjourney v7. For budget bulk, try FLUX 1.1 Pro. For brand typography, compare with Ideogram 3. --- ## GPT Image 2 vs Nano Banana Nano Banana is faster and cheaper for drafts; GPT Image 2 wins when text or dense instructions matter. | Feature | GPT Image 2 | Nano Banana | |---|---|---| | Best first use | Text-heavy or structured images | Fast photoreal drafts | | Median cost | 3 credits | 1 credit | | Resolution | Up to 2048px on this page (4K via API) | 1024px fast output | | Typography | Strong | Basic | | Iteration style | Precise prompt revisions | Rapid moodboard variants | --- ## GPT Image 2 vs Midjourney Midjourney has a strong aesthetic signature. GPT Image 2 is better when the brief is specific and commercial. | Feature | GPT Image 2 | Midjourney | |---|---|---| | Access model | Browser studio with free credits | Subscription-first | | Visual style | Follows the requested direction | Distinct painterly house style | | Text in image | Primary strength | Not a core strength | | Client briefs | Good for exact copy and layout | Good for mood and aesthetics | | Workflow | Prompt, generate, edit in one studio | Separate web/community flow | --- ## Frequently Asked Questions ### What resolutions does GPT Image 2 support? Any size where max edge ≤3840px, each side is a multiple of 16px, aspect ratio ≤3:1, and total pixels between 655K–8.3M. Common presets: 1024×1024, 1536×1024, 2048×2048, 3840×2160. Resolutions above 2560×1440 are experimental. ### Does GPT Image 2 support transparent backgrounds? No. The API has a background parameter, but OpenAI's docs confirm gpt-image-2 does not support background:"transparent". If you see tools offering this, they're doing post-processing — not a native model feature. ### Can it render Chinese / non-Latin text accurately? GPT Image 2 significantly improved dense text and multilingual rendering. Community feedback on Chinese/Japanese/Korean is positive. However, OpenAI hasn't published per-language accuracy benchmarks, so expect occasional errors on complex CJK compositions. ### Why does my image look different after the 3rd edit? Character and style drift during iterative edits is a known limitation listed by OpenAI. The model is much better than DALL·E 3, but not yet at "brand-asset production" stability. Tip: pin critical elements in your prompt ("keep face, pose, and outfit unchanged"). ### How much does one image cost? OpenAI API at 1024×1024: ~$0.006 (low), ~$0.053 (medium), ~$0.211 (high). On imagev2.me: 3 credits at 1K, 5 at 2K, 8 at 4K — same for text-to-image and image-to-image. Start free, no credit card needed. --- ## Ready to try GPT Image 2? Type your prompt in the panel on the left. No setup needed. [Sign Up Free →](https://imagev2.me/gpt-image-2)