FLUX 3 Image free editing demo: a 4-edit test list before you pay
Test recolor, move, replace and swap in the reported free FLUX 3 precise-editing demo, then carry the winners to an API. Sume has no FLUX 3.

Use the free FLUX 3 precise-editing demo to run four edit types (recolor, move, replace, swap) on your own image before you pay for API calls. The demo address, flux-tools.bfl.ai/precise-editing, comes from press coverage, not from a BFL page I read, so confirm it works. FLUX 3 Image is not in the Sume image catalog today; check GET /v1/images/models for the live list. The catalog lists FLUX.2 Pro and FLUX.2 Flex.
Four tests that map to real jobs
BFL's overview page lists recolor, replace, move and swap as edit examples, and says references are addressed as <ref_image_0>, <ref_image_1> and so on. A good test plan uses one image per edit type so you can score each separately.
| Test | What to check | Sume route to compare |
|---|---|---|
| Recolor | Only the target colour changes | Reference edit, ChatGPT Image 2.5 |
| Move | Object lands where intended, gap is filled | Mask edit, ChatGPT Image 2.5 |
| Replace | New object matches lighting | Reference edit |
| Swap | Two references trade places | Reference edit with 2+ input_references |
What to record
Write down each result before you leave the demo: keep the input, the prompt, the output and a yes or no on whether untouched areas stayed the same. Those four items are what you will hand to an API test later.
Carry it to an API
Sume accepts input_references on reference-capable models (max 10, or 16 on ChatGPT Image 2.5) and a mask_url on ChatGPT Image 2.5 only. Test the same four edits there with a prompt that names the change, then compare against what the demo gave you. The Sume docs state no preservation figure, so judge by eye and by pixel diff.
- Models:
openai/gpt-image-2.5,openai/gpt-image-2.5-sunburst. - Reference URLs must be publicly reachable.
- Read
usage.coston each response to see what the test billed.
Sources
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