gpt-image-2-5
Generate or edit images with GPT Image 2.5 Flare or Sunburst through AceDataCloud. Choose Flare for speed or Sunburst for high-fidelity control; never use the unsupported bare gpt-image-2.5 name.
Source facts
- Repository
- AceDataCloud/Skills
- Last source activity
- September 9, 2026 at 16:25
- Detected SKILL.md language
- English
- Stars
- 17
- Forks
- 1
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Source instructions · Read-only preview- name
- gpt-image-2-5
- description
- Generate or edit images with GPT Image 2.5 Flare or Sunburst through AceDataCloud. Choose Flare for speed or Sunburst for high-fidelity control; never use the unsupported bare gpt-image-2.5 name.
- license
- Apache-2.0
- metadata
- {"author":"acedatacloud","version":"1.0"}
- compatibility
- Requires ACEDATACLOUD_API_TOKEN in .env file (see _shared/authentication.md).
# GPT Image 2.5
Use one exact model ID for every request:
- `gpt-image-2.5-flare` — faster generation.
- `gpt-image-2.5-sunburst` — higher-fidelity output and editing control.
Do not send `gpt-image-2.5`; it is not a model ID.
> **Setup:** See [authentication](../_shared/authentication.md) for token setup.
## Generate
```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-2.5-flare","prompt":"A clean product photograph on a pale studio background, no text","size":"1024x1024","n":1}'
```
## Edit
```bash
curl -X POST https://api.acedata.cloud/openai/images/edits \
-H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
-F "model=gpt-image-2.5-sunburst" \
-F "prompt=Keep the subject and composition; change only the background to dark navy." \
-F "image=@input.png" \
-F "size=1024x1024" \
-F "n=1"
```
The result is in `data[].url`.
## Shared contract
- `size` may be `auto` or `WIDTHxHEIGHT`.
- Custom dimensions use multiples of 16, max side 3840, 655,360–8,294,400 pixels, and aspect ratio at most 3:1.
- `quality` accepts `auto`, `low`, `medium`, or `high`.
- `n` accepts 1–10 and billing uses the number of images returned. Use URL output for `n>1`; `b64_json` requires `n=1`.
- For long jobs, pass `async: true` or `callback_url`, then poll `POST /openai/tasks` with `{"id":"<task_id>"}`.
- Image editing accepts URL input in JSON or local files with multipart form data.
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