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name: gpt-image-2 description: Generate and EDIT images with OpenAI gpt-image-2 via AceDataCloud API. Use when you need high-fidelity images from a prompt, or to edit/composite existing images (e.g. fuse a real logo/QR/screenshot into a scene, keep characters consistent, restyle). Strong at legible text and faithful editing. license: Apache-2.0 metadata: author: acedatacloud version: "1.0" compatibility: Requires ACEDATACLOUD_API_TOKEN in .env file (see _shared/authentication.md).

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 for token setup.

1. Generate (text → image)

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.

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>"}.