GPT-image-2 AI Image API
GPT Image 2 is OpenAI's image-generation model. OpenAI documents image generation and editing with flexible sizes; Flatkey exposes the image routes and request controls shown below.
Output
Preview
Request summary
- Endpoint
- POST /v1/images/generations
- Model ID
- GPT-image-2
- Aspect ratio
- 2:3
- Resolution
- 1024x1024
- Quality
- high
- Outputs
- 1
Preview only. Sign in to submit this request to Flatkey.
{
"model": "gpt-image-2",
"prompt": "主題:\n{argument name=\"主題\" default=\"流星を灯す夜\"}\n\n主体:\n縦長2:3の夏祭りポートレート。濡れた石畳の上で、浴衣姿の女性が低くしゃがみ、左右の手に線香花火を一本ずつ持っている。人物は画面中央やや左から下半分を占め、広く残した夜空に色彩の異なる大輪の花火と、明瞭な流星が広がる。\n\n人物・表情:\n自然で現実感のある若い女性。黒髪を低めのゆるいまとめ髪にし、薄い前髪と頬にかかる後れ毛を残す。耳の後ろに淡い桃色と白の花飾りを添える。顔を画面右からカメラへ静かに振り向け、穏やかな目線と控えめな微笑みを見せる。線香花火と提灯の光が頬、鼻筋、唇に柔らかく触れる。\n\n服装・ポーズ:\n乳白色に近い淡い桜色の浴衣。桃色、薄紫、灰青色の小花と葉を散らした可憐な柄で、背中にはくすみピンクの大きな文庫結びの帯。足元は赤茶色の鼻緒を付けた木製の下駄。両足を揃えて深くしゃがみ、体は画面右へ向けながら上半身だけをカメラ側へひねる。人物自身の右手を胸の前へ少し高く上げ、左手を膝の横へ低く伸ばす。それぞれの手に線香花火を一本だけ自然につまみ、指の本数、握り方、手首の角度を正確に描く。\n\n背景・光:\n深い紺色の星空。左上には花びらのように湾曲して開く大きな桃色の花火、右上には金色と淡い青白色が放射状に伸びる大輪、左中段には青と桃色が混じる小さな花火を配置する。周囲には控えめな小型花火を数輪だけ散らし、密集させない。空を斜めに横切る流星を4〜5本描き、白く鋭い光点と長く透明感のある尾をはっきり見せる。画面左奥には暖色の提灯が遠近に沿って並び、右奥の水辺には朱色の鳥居と暗い山並みが見える。濡れた石畳に提灯、花火、線香花火の金色や桃色が長く反射する。主光は手元の線香花火、左側から提灯の暖かな補助光、上方から花火の淡い輪郭光を加える。\n\n構図・カメラ:\n縦2:3。低い位置から人物の目線付近を見上げるローアングルで、全身と下駄まで収める。人物の頭頂は画面中央付近、上半分以上を夜空の余白として確保する。左の提灯列が奥へ導く斜線を作り、右奥の鳥居と釣り合う構成。35mm相当の自然な広角感。人物と手元の線香花火に正確にピントを合わせ、背景は輪郭が分かる程度に柔らかくぼかす。\n\n質感・スタイル:\n実写感の高い映画的な夜景写真。自然な肌理、浴衣の薄い綿布の織り、帯の立体的な折り目、濡れた石の光沢を丁寧に表現する。深い紺、淡い桃色、金色を中心に、彩度は上品に抑える。微細なフィルム粒子、滑らかな階調、透明感のある発光表現。過度な美肌補正を避け、現実的な光量と反射を保つ。",
"n": 1,
"size": "1024x1024",
"quality": "high",
"output_format": "png",
"background": "opaque",
"moderation": "auto"
}Performance
GPT Image 2 API performance and availability
Live Flatkey request telemetry appears here when enough image-generation traffic is available.
Activity
GPT Image 2 API usage and generation activity
This chart reflects live Flatkey generation requests and remains unreported until enough traffic is collected.
Pricing
GPT-image-2 Pricing
GPT-image-2 pricing here follows the current Flatkey catalog unit, not an assumed OpenAI direct tariff. Set image size, quality and output count before estimating cost. For edits, supply reference images and describe what must stay unchanged.
Add credits
Use the same Flatkey balance and API key across image, video, audio, and text models.
- Model Type
- Text to Image
- API
- /v1/images/generations
- Billing basis
- image
- Outputs
- 1–10
GPT Image 2 image generation and editing capabilities
Use the documented image workflows for new visuals, reference-led edits, and production-ready creative variants.
Text-to-image creation
Generate new product, editorial, and campaign visuals from a structured natural-language prompt.
Reference-based editing
Supply an image input to revise an existing visual while preserving important subject and composition details.
Flexible image composition
Create square, portrait, or landscape assets with flexible image sizes for different placements and channels.
High-fidelity visual input
Combine text and image context in one workflow for richer visual direction; audio and video inputs are not supported by this model.
Compare
GPT Image 2 and GPT Image 1: image API controls
GPT Image 1 values are not verified in this fact set, so only documented GPT Image 2 fields are shown.
| Capability | GPT Image 1 | GPT Image 2 |
|---|---|---|
| Endpoints | Unknown here | /v1/images/generations; /v1/images/edits |
| Sizes | Unknown here | 1024x1024, 1536x1024, 1024x1536, auto |
| Formats | Unknown here | PNG, JPEG, WebP |
| Quality/background/moderation | Unknown here | Documented above |
| Image quality ranking | Not asserted | Not asserted |
Choose the right request before you integrate
Review the supported workflows, live cost for the current setup, and the exact parameter contract used by Flatkey.
Calculated from the current Playground settings and the live catalog rate when a fixed unit price is available.
- Current setup
- 1024x1024 · high · 1×
- Live rate
- $0.0066 / image
- Estimated request
- $0.0066
The final charge follows the submitted request and your account group. Token-priced or tiered requests cannot be reduced to one fixed estimate.
Workflows and Model ID
Use only the workflows marked available. Flatkey keeps one public model ID while the request body selects the input workflow.
Text to Image
Generate a new image from a text prompt and output controls.
- Model ID
gpt-image-2- Endpoint
/v1/images/generations
Reference-guided Image
Use reference images for edits, variations, or identity and composition guidance.
- Model ID
gpt-image-2- Endpoint
/v1/images/generations
Parameter compatibility
These values come from the same model configuration used by the Playground and request preview.
nImages1–10
Default: 1sizeSize1024x1024 · 1536x1024 · 1024x1536 · auto
Default: 1024x1024qualityQualityauto · high · medium · low
Default: highoutput_formatOutput formatpng · jpeg · webp
Default: pngbackgroundBackgroundopaque · auto
Default: opaquemoderationModerationauto · low
Default: autoimageReference limit4 files
Endpoint: /v1/images/generationsFrom first test to production
Use the same request contract in the Playground and API, then handle validation, balance, task state, and output retrieval explicitly.
Request lifecycle
- 1
Validate the model, prompt, references, and output settings.
- 2
POST the image request with the documented fields.
- 3
Read the generated output or asynchronous task result returned by the route.
- 4
Store the generated file and request metadata in your own workflow.
Production checks
Reject unsupported sizes, durations, ratios, formats, or reference counts before submitting.
Handle invalid keys, insufficient balance, rate limits, and account-group pricing separately.
Surface the rejected prompt or asset clearly so the user can replace only the failing input.
Keep the task ID, use bounded retries, and never treat a timeout as a successful generation.
Prompt library
GPT Image 2 prompt examples for product and marketing visuals
Start with a concrete subject, composition, output size, and brand constraint; adjust the request fields separately.
Generated with Image 2
Scene: A 16:9 sci-fi game loadout screen in a blue-purple spaceship hangar. A female armored character stands centered with a glowing violet rifle; armor slots line the left, three weapon slots line the right, and the lower slot is highlighted. Keep the HUD hierarchy, pose, lighting, and equipment geometry fixed for an exact equipment-switch frame. No readable words, logos, invented stats, or watermark. Composition and rendering: Deliver one 16:9 game-interface keyframe. Separate the character, held equipment and HUD into clear depth layers; keep slot spacing and icon scale consistent, with the selected item visually dominant. Preserve the scene-specific game art style. Let material edges catch the existing light without letting interface glow obscure the silhouette. Keep all equipment fully inside the frame. Avoid: warped perspective, malformed anatomy, merged objects, inconsistent shadows, excessive sharpening and watermarks. Follow the scene-specific text and branding restrictions above.
Generated with Image 2
Scene: A rainy night soccer broadcast frame under bright stadium floodlights. A black-uniform player strikes the ball while two white-uniform defenders close in, with the goal and a blurred crowd behind. Keep the broadcast camera angle, blank blue score bars, spray, and motion blur consistent; leave overlays abstract and text-free. No real teams, athletes, logos, or watermark. Composition and rendering: Deliver one 16:9 broadcast still at the decisive instant. Use coherent perspective for the playing surface and equipment, readable separation between competitors, and a softer crowd behind the action. Keep the principal subject sharp, with directional blur limited to fast extremities and spray. Preserve the specified broadcast angle and reserve overlay areas clear of the action. Avoid: warped perspective, malformed anatomy, merged objects, inconsistent shadows, excessive sharpening and watermarks. Follow the scene-specific text and branding restrictions above.
Generated with Image 2
Scene: A closed matte-black square smartwatch with a black strap rests on a wet glossy black tabletop. Water droplets catch a cool blue rim light and a soft reflection sits beneath the watch. Use a low three-quarter product camera and preserve the case, strap, highlights, and empty dark background. No readable branding, extra products, hands, or watermark. Composition and rendering: Deliver one 16:9 commercial product still. Keep the complete product silhouette inside generous crop-safe margins. Resolve edges, seams and material transitions precisely; shape highlights to describe volume without clipping bright surfaces or crushing dark details. Align reflections with the object and light source. Retain the stated camera angle and existing negative space; add no decorative props. Avoid: warped perspective, malformed anatomy, merged objects, inconsistent shadows, excessive sharpening and watermarks. Follow the scene-specific text and branding restrictions above.
Generated with Image 2
Scene: On a rain-soaked observatory roof at sunrise, a lone figure in a long dark coat walks toward a large telescope beside an open dome. Wet stone reflects the warm doorway light; cloud-covered mountains sit beyond. Hold the screen direction and end on the telescope and figure in the same wide composition. No readable text, logos, or watermark. Composition and rendering: Deliver one 16:9 storyboard keyframe, not a collage or an action sequence. Separate foreground, character plane and background through the existing light and atmospheric depth. Keep the stated pose and eyelines readable, and retain environmental landmarks for continuity. Match the described photographic, illustrated or puppet medium; give fabric and surfaces texture appropriate to that medium. Avoid: warped perspective, malformed anatomy, merged objects, inconsistent shadows, excessive sharpening and watermarks. Follow the scene-specific text and branding restrictions above.
Generated with Image 2
Scene: In a bright home kitchen, a surprised cook in a blue shirt and cream apron reaches toward pancakes, a frying pan, flour, bowl, and whisk suspended midair. Freeze the comic cause-and-effect moment with believable weight, warm daylight, and a clear path for each object. No injury, logos, readable words, or watermark. Composition and rendering: Deliver one 16:9 physical-comedy still at the described instant. Make the cause of the gag readable through body balance, grip and object spacing. Separate the reaction from the airborne props; retain believable gravity and contact points. Keep the face and important props sharp, with only restrained directional blur on fast edges. Preserve the stated lighting and room or stage layout. Avoid: warped perspective, malformed anatomy, merged objects, inconsistent shadows, excessive sharpening and watermarks. Follow the scene-specific text and branding restrictions above.
Generated with Image 2
Scene: A rainy period harbor platform shelters people in era-appropriate coats and umbrellas as a vintage green tram arrives on wet tracks. Wooden waterfront buildings and misty mountains sit behind the reflections. Preserve the historical clothing, tram shape, rain direction, and stable wide composition; no readable signage, logos, or watermark. Composition and restoration: Deliver one 16:9 archival-style still. Preserve the original framing, period-specific construction and restrained tonal range; retain monochrome, sepia or faded color as described. Recover modest detail in faces, clothing and architecture without synthetic sharpening. Keep fine grain and authentic aging consistent across the frame; repair damage without replacing historical features. Avoid: warped perspective, malformed anatomy, merged objects, inconsistent shadows, excessive sharpening and watermarks. Follow the scene-specific text and branding restrictions above.
Why use Flatkey for GPT Image 2?
A repeatable GPT Image 2 workflow for product images
Keep image controls and image-input token dimensions together so a prompt test can become a reproducible API request.
All documented controls in one place
Set n, size, quality, output format, background, and moderation before you hand the request to the console.
Image input stays explicit
The catalog exposes token and image-input dimensions; this is not a separate fee for output pixel size, and the final amount depends on request and usage fields.
Marketing-ready starting points
Use product, ad, and storyboard examples as editable starting prompts rather than generic image filler.
No unsupported promises
The page does not promise transparent output, free generation, or a fixed per-image price when those facts are not verified.
API
GPT-image-2 API
Four ways in, all on the same key and the same model catalog. Pick one to see a runnable example.
curl https://router.flatkey.ai/v1/images/generations \ -H "Content-Type: application/json" \ -H "Authorization: Bearer sk-***" \ -d '{"model":"gpt-image-2","prompt":"Create a high-quality product image with GPT-image-2: clean composition, precise lighting, strong subject focus, and realistic detail.","n":1,"size":"1024x1024","quality":"high","output_format":"png","background":"opaque","moderation":"auto"}'
FAQ
GPT Image 2 API
pricing and prompt questions
Answers about GPT Image 2 API access, image-generation fields, token and image-input pricing, formats, and background behavior.





