gpt-image-2

# gpt-image-2 — Image Generation & Editing OpenAI `gpt-image-2` through AceDataCloud. Two endpoints, both **synchronous** (return image url(s) directly). Its standout is **editing**: feed real images (logos, QR codes, product shots, screenshots) and it composites/restyles them faithfully — great for on-brand video assets and character consistency. > **Setup:** See [authentication](../_shared/authentication.md) for token setup. ## 1. Generate (text → image) ```bash curl -X POST https://api.acedata.cloud/openai/images/generations \ -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"model":"gpt-image-2","prompt":"a clean dark tech hero background with a glowing API hub, lots of negative space","size":"1792x1024","n":1}' ``` ## 2. Edit / composite (images + prompt → image) ← the powerful one Multipart. Pass one or more source images via repeated `image[]` (local files with `@`, or URLs). Use it to **fuse a real logo/QR into a generated scene**, keep a subject consistent across scenes, or restyle a screenshot. ```bash curl -X POST https://api.acedata.cloud/openai/images/edits \ -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \ -F "model=gpt-image-2" \ -F "prompt=Place this logo crisply in the top-left on the tech background; keep the logo's exact colors and shape." \ -F "image[]=@background.png" \ -F "image[]=@logo.png" \ -F "size=1792x1024" \ -F "n=1" ``` Response (both endpoints): `{"data":[{"url":"https://...png"}]}` → download `data[0].url`. ## Sizes `size` is `WxH` (a preset) or `"auto"`. Common presets: | Aspect | Sizes | |---|---| | 16:9 | `1792x1024` (HD), `2048x1152`, `3840x2160` (4K) | | 9:16 | `1024x1792`, `1152x2048`, `2160x3840` | | 1:1 | `1024x1024`, `2048x2048`, `2880x2880` (4K) | (Omit `size` or use `"auto"` to let the model pick. Custom sizes must have both sides a multiple of 16, each side ≤ 3840, total pixels between 655,360 and 8,294,400, and an aspect ratio ≤ 3:1 — otherwise 400.) ## Tips - **Editing keeps things faithful** — to place a logo/QR exactly, pass it as one of the `image[]` and say "keep its exact colors/shape, do not redraw it". - For **character/scene consistency** across video beats, generate one hero image, then `edits` it per beat instead of regenerating from scratch. - Text in images renders legibly — good for titles/labels you don't want to overlay in HTML. - `n` accepts **1–10** and you are billed **per image returned**, not per request — `n: 4` costs 4×. (`response_format: "b64_json"` still requires `n: 1`.) - Both endpoints are synchronous by default. For long 4K jobs pass `callback_url` (optionally with `async: true`) and poll `POST /openai/tasks` with `{"id": "<task_id>"}`.