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 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[][email protected]" \
  -F "image[][email protected]" \
  -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, 4096x4096

(Omit size or use "auto" to let the model pick. Invalid sizes 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.
• Both endpoints are synchronous; no /tasks polling.