gpt-image-2GPT Image 2 API from OpenAI — text-to-image and image editing with up to 16 reference images, native 1K / 2K / 4K. Priced by resolution alone — $0.025 / $0.04 / $0.06 per image at 1K / 2K / 4K — with the `quality` parameter accepted but never surcharged. For a cheaper entry tier see gpt-image-2-all, which prices resolution x quality and starts at $0.01. Measured 96.5% success across 3,357 recent calls. One API key, far cheaper than going direct, no OpenAI org verification, instant access from anywhere.
Call GPT Image 2 with a single API key — no OpenAI organization or ID verification, no waitlist, reachable from anywhere including mainland China
OpenAI's newest image model with best-in-class prompt adherence
Up to 16 reference images per request
1:1, 2:3, 3:2, 4:5, 5:4, 4:3, 3:4, 16:9, 9:16, 21:9 (5:4 & 4:5 at 1K only)
$0.025 / $0.04 / $0.06 at 1K / 2K / 4K (medium); low & high quality tiers also available
Automatic failover across multiple upstream channels for reliability
Poll the task endpoint for the result — usually 40-90s
Generated image will appear here
Enter a prompt and click Generate
GPT Image 2 is a Image Generation API provided by OpenAI. GPT Image 2 API from OpenAI — text-to-image and image editing with up to 16 reference images, native 1K / 2K / 4K. Priced by resolution alone — $0.025 / $0.04 / $0.06 per image at 1K / 2K / 4K — with the `quality` parameter accepted but never surcharged. For a cheaper entry tier see gpt-image-2-all, which prices resolution x quality and starts at $0.01. Measured 96.5% success across 3,357 recent calls. One API key, far cheaper than going direct, no OpenAI org verification, instant access from anywhere. Through APIMODELS platform, you can access this model via a unified API with transparent pay-as-you-go pricing. Current pricing: 1K: $0.025, 2K: $0.04, 4K: $0.06.
Posters, ad creatives, covers and packaging where the words are part of the artwork — this is the most reliable in-image text renderer we carry, so headlines come out set, not smeared.
Pass up to 16 reference images to hold a character, product or style steady across a whole batch, instead of re-rolling until two frames happen to match.
Change a background, recolor, swap an element — the rest of the frame stays where it was. Editing is a first-class path here, not a prompt trick.
1K, 2K and 4K come out of the model at that resolution — nothing is upscaled after the fact, so fine detail and small type survive at $0.06 for 4K.
Price depends on resolution alone ($0.025 / $0.04 / $0.06); quality never moves it. Multiply images by tier and you have the exact spend before the first call.
GPT Image 2 is available through APIMODELS at: 1K: $0.025, 2K: $0.04, 4K: $0.06. Billing is pay-as-you-go — you only pay for what you generate.
Sign up at APIMODELS, get your API key, and call our unified API endpoint. We provide detailed API documentation with code examples in cURL, Python, and Node.js.
APIMODELS offers the same GPT Image 2 model through our aggregation platform. We provide a unified API interface so you do not need separate accounts for each provider - one API key to access all models.
OpenAI's next-generation image model with sharper in-image typography, more stable pixel-level edits, stronger world knowledge, fast generation, and high prompt fidelity.
Yes. Sign up at apimodels.app, grab an API Key, and immediately call gpt-image-2 (from $0.025/image, tiered 1K/2K/4K: $0.025/$0.04/$0.06, up to 16 reference images per request).
Both, through a single endpoint that auto-routes by presence of a reference image. Aspect ratio drives output composition; up to 16 reference images can be fused in one request.
E-commerce product edits, batched marketing visuals, AI Image Generator / Editor SaaS, production layers for design systems, multilingual localized visuals, educational illustrations, and any workflow that turns text plus images into visual output.
Yes. Multilingual text rendering is a key focus, and together with stronger instruction-following for multi-subject prompts and layered scenes, complex layouts and in-image text come out noticeably cleaner.
Yes. gpt-image-2 supports up to 16 reference images per request — suited for lookbook generation, on-model try-on, packaging fusion, and other multi-reference scenarios.
One key for every model, full API docs with cURL / Python / Node.js examples, failed tasks are free, results hosted on our R2, plus automatic failover across multiple upstream channels for reliability.
On apimodels.app, gpt-image-2 is tiered by resolution — $0.025 / $0.04 / $0.06 at 1K / 2K / 4K — with no minimum spend, no monthly fee, and failed tasks not billed. That makes it one of the cheapest ways to call the GPT Image 2 API.
POST to https://apimodels.app/api/v1/images/generations with header Authorization: Bearer <your API key>. In the JSON body set model to "gpt-image-2" and provide a prompt; for editing, add image_url (single) or image_urls (up to 16). Copy-paste curl and Python (requests / OpenAI-SDK-compatible) examples are on the model page docs.
It is the same OpenAI gpt-image-2 model, so image quality is identical. The difference is access: via apimodels.app you use one API key from $0.025/image (tiered by resolution), with no OpenAI org verification required, reachable from anywhere — cheaper and simpler than wiring up OpenAI directly.
Yes. Sign up at apimodels.app for one API key — no OpenAI account or org verification needed, and the endpoint is reachable from China and anywhere else. Generated images are hosted on our R2 for direct download.
gpt-image-2 accepts up to 16 reference images per request for multi-image fusion and editing, outputs at 1K / 2K / 4K in low / medium / high quality (medium by default), and lets you control framing via aspect ratio (1:1, 2:3, 3:2, 4:5, 16:9, 9:16, and more; 5:4 & 4:5 are 1K-only — unsupported at 2K/4K) — priced by resolution × quality; the medium tier is $0.025 / $0.04 / $0.06 at 1K / 2K / 4K.
On APIMODELS, GPT Image 2 runs alongside 60+ models on one API key and one balance, so choosing is about fit, not lock-in. It supports Text to Image, Image Editing, Multi-Image, 1K/2K/4K, Async, and you can weigh it on price and capability against other Image Generation models, then switch by changing a single model-name string — no new account or integration. Browse every Image Generation option with live pricing at apimodels.app/models.
GPT Image 2 supports: Text to Image, Image Editing, Multi-Image, 1K/2K/4K, Async. See the APIMODELS docs for full parameters and call examples.
Yes. APIMODELS exposes GPT Image 2 through a single unified API and one key — no separate provider accounts, and no need to handle each provider's regional network access yourself.
We support Stripe (Visa, Mastercard, and other international cards) and Alipay. Credits are available instantly after payment.
APIMODELS makes the GPT Image 2 API easier to access for image generation, image editing, text-rich visuals, and higher-quality commercial image workflows.
GPT Image-2 API turns written prompts into polished visual output for marketing creatives, product concepts, social media visuals, ad images, illustrations, and branded design assets. The prompt-based workflow gives developers a flexible way to build AI Image Generator experiences for fast visual ideation and refined output.
GPT-Image-2 API also works from existing images, fitting style changes, background replacement, product recoloring, subject enhancement, and composition cleanup — controlled edits that preserve important parts of the original image. For AI Image Editor products, it delivers cleaner transformations with stronger visual control.
Long phrases, multi-word labels, clearer punctuation, and casing consistency — valuable for storefront mockups, posters, UI concepts, infographics, packaging, and branded marketing assets. Typography is no longer the weakest part of the image.
Change one part of an image without disrupting the rest: product recoloring, object replacement, background updates, local scene refinements. Original lighting, shadows, textures, and surrounding style stay coherent — cleaner than broad full-image regeneration.
Better for tasks where visual credibility matters — maps, anatomy diagrams, historical reconstructions, architectural scenes, educational visuals. Complex scenes and object relationships are interpreted more faithfully, making results more believable.
High-quality output at a ~3s generation pace (end-to-end 10-40s async). Stronger instruction following for multi-subject prompts, layered scene detail, and tighter layout control — practical for complex visual creation at scale.
Localized ads, international packaging, interface mockups, educational graphics, branded campaign assets — text inside images is part of the design, not a placeholder. Language accuracy and visual polish delivered together.
Create or log into your APIMODELS account and generate your API Key in the console. This key authenticates all requests and connects GPT Image 2 API to your application or internal workflow.
Use the Playground to evaluate before integrating. Test prompt behavior, compare text-to-image vs image-to-image, review output quality, and validate fit before moving into code.
Connect to your backend service with authenticated requests. Set request parameters, define prompt handling, validate image inputs, and parse returned outputs so the model runs reliably in your application.
Process generated assets, store output files, manage returned URLs or object storage, and define how results flow back to users or downstream services. A clean pipeline turns the API into a usable production component.
Prepare stable production operation: concurrency planning, retry logic, timeout handling, moderation flow, logging, cost control, plus product-specific rules. With these in place, the API can reliably power AI Image Generator and AI Image Editor products.
For teams that need steady volumes of polished campaign visuals across channels: ad images, paid social creatives, promotional banners, launch graphics, seasonal assets. Faster from concept to usable output, closer to real campaign-ready creative from the start.
Fits e-commerce and merchandising where updates are controlled (not one-off concept art): change backgrounds, recolor, refine listing images, test packaging, swap hero visuals — without rebuilding the scene each time. Directly affects conversion and content velocity.
Works as a production layer inside a broader content pipeline rather than a standalone feature: presentation graphics, editorial visuals, UI mockups, blog assets, infographics, concept frames, branded support images — aligned with a larger communication system.
Highly relevant across regions, languages, and audience segments: localized campaigns, multilingual packaging, region-specific promos, educational graphics, interface assets. Visual adaptation, language accuracy, and creative consistency advance together.
Affordable pricing for teams that want to build with a stronger OpenAI image model without pushing costs too high too early. Frequent generation, prompt testing, batch visual creation, and large-scale editing workflows all depend on price — now under tighter control.
Complete documentation covers setup, testing, and deployment. Request structure, input handling, output delivery, authentication, and integration logic — all spelled out for both first-time implementation and long-term iteration.
GPT Image 2, Gemini, Claude, Kling, SparkPix and more are all callable through one unified API and one key — no need to register on separate platforms. Transparent pay-as-you-go pricing, ideal for indie devs and startups.
state=failed tasks are not billed, so retries are safe. Successful results are hosted on our R2 and URLs are directly consumable — still recommended to persist to your own storage within 24h as defense-in-depth.
Prompts shared by their authors — copy and adapt them. Each one credits its author and links back to the original post.
Condor Heroes characters teach English word dream
神雕侠侣主角趣味讲单词 dream 教程
by @nicekate8888
Pizza night UGC Domino’s vlog
VIDEO PROMPT — "Pizza Night Vlog" (UGC iPhone Style) Duration: 15 seconds | Aspect Ratio: 16:9 | Style: Authentic UGC / iPhone selfie-vlog, handheld, natural light, slight motion blur, TikTok/Reels energy — NOT cinematic, NOT overly polished. Feels like a real creator filmed this on their phone. Product Reference: Use the uploaded Domino's Pepperoni Pizza image as the only product reference. Keep crust thickness, cheese texture, bake color, pepperoni placement, and proportions identical in every cut — no redesigning the pizza. Camera: iPhone 15 Pro front + back camera switching, handheld, natural wobble, autofocus hunting slightly (realistic), vertical-style framing cropped to 16:9, occasional finger near lens edge, natural room lighting + phone flash reflections on the pizza box. Character Description Name (for reference): Mia Awoman in her mid-20s, naturally attractive and beautiful with an approachable, girl-next-door charm — not overly done up. Wavy sandy-blonde hair pulled back loosely, light natural makeup, wearing a cozy oversized cream sweater. Warm, genuine smile, expressive eyes, casual energetic personality like a real lifestyle vlogger. Sits in a softly lit modern kitchen/living room. Shot Breakdown SHOT 1 (0–2s) — The Grab Selfie-angle, she's mid-laugh holding up the Domino's box to camera. Quick jump cut. Dialogue: "Okay so it's officially pizza night—" SHOT 2 (2–4s) — The Open Cut to overhead handheld shot, box flips open, steam rising off the pizza, slight camera shake as she leans in. SHOT 3 (4–6s) — The Zoom Quick zoom-punch into the pizza, phone camera autofocus adjusts naturally, cheese and pepperoni in focus, ambient kitchen sounds. SHOT 4 (6–8s) — The Pull Cut to her hands lifting a slice, natural cheese pull, filmed from a slightly low candid angle like a friend filming across the table. SHOT 5 (8–10s) — The Reaction Cut back to selfie-cam, she takes a bite, eyes widen, quick genuine reaction. Dialogue: "Oh my god, that's so good." SHOT 6 (10–12s) — The Candid Cutaway Jump cut to a close, slightly shaky shot of the pizza box on the counter, her hand grabbing another slice off-frame, casual b-roll energy. SHOT 7 (12–14s) — The Wrap-Up Back to selfie angle, she grins at camera, holding slice up like a toast. Dialogue: "Dominos, y'all know what to do." SHOT 8 (14–15s) — End Tag Quick freeze/cut to the box logo close-up, natural handheld wobble, soft text overlay in casual font: "pizza night = solved 🍕" — cut to black. Look & Feel Warm indoor lighting, slightly grainy natural phone sensor look, imperfect framing, real reactions, minimal dialogue (3 short lines total), authentic pacing with hard jump cuts instead of smooth transitions. Negative Prompt cinematic grade, overly smooth camera moves, studio lighting, professional voiceover, staged acting, CGI look, plastic cheese, distorted pepperoni, extra fingers, warped hands, text glitches, logo distortion, overly polished commercial feel.
by @ShamiWeb3
The World's Unluckiest Superhero
A documentary about a superhero who has extremely bad luck and ends up saving people by accident through the destruction caused by his own misfortune. Dialogue in English. Scene direction with unique composition. Every cut, every camera angle, and every movement is of exceptionally high quality; the composition is guided by an experienced film director. The comedy is genuinely interesting, and throughout the 15 seconds everything unfolds in a perfectly crafted way, with a comedic payoff that can make anyone laugh.
by @NACHOS2D_
We curate copy-ready prompt libraries — every entry shows its full text and a sample result, ready to adapt.
How to get access, regional availability, and how this model compares with its alternatives.