Precise image editing on Sume: what it has and what it lacks

Sume has Ideogram 4.5 and GPT Image 2.5 for precise edits, mask_url on GPT Image 2.5, and up to 16 reference images on that model. It does not list Flux 3 Image, has no bounding-box field, and documents no guarantee that unchanged pixels stay identical on any model. If your job is "change one thing and leave the rest", you can do it with a mask, a crop-and-stitch step of your own, or a careful prompt, and you should verify the result with a pixel diff.

The matrix

What you can still do

Start from the job, not the model name. A catalog edit of 300 product photos has different needs from one hero image for a campaign: the first wants a cheap tier and a loop, the second wants the best single result and a person looking at it.

For region control, use mask_url on openai/gpt-image-2.5; the docs do not say which mask colour marks the edit area, so test on a cheap render. Ideogram's own page says its masks are black where the edit goes, but that is the vendor's interface, not the Sume parameter. For pixel safety on any model, edit a crop and stitch it back, as in crop, edit and stitch in Pillow, so everything outside the box is the original file.

For text edits, Ideogram 4.5 is the model whose vendor page is about keeping lettering. For repeated edits, save PNG between passes and measure drift with the Pillow script. A failed generation is not billed under the Sume docs, and a 400 unsupported_parameter is returned if you send a field the model does not list.

What it costs

Ideogram 4.5 is $0.0375 (low), $0.075 (medium) or $0.275 (high) per image on Sume, from the provider list times 1.25. GPT Image 2.5 is token priced: $30 per million output tokens, $8 per million image input tokens, $5 per million text input tokens at list, so at 1024x1024 xhigh output is $0.09366 and max $0.21072 before input tokens and Sume's margin.

The Flux 3 launch carries a 50% API discount through October 8 on BFL's side. It does not apply to Sume, since Sume does not serve the model.

Decision in four lines

The earlier Flux 3 alternatives feature by feature goes through each Flux 3 claim in turn.

• Need box-by-box placement: use Flux 3 Image on BFL's service; Sume cannot.
• Need a region fence on Sume: GPT Image 2.5 with mask_url.
• Need text edits and stacked passes: Ideogram 4.5, tested with your own diff.
• Need certainty about every pixel: crop, edit, stitch, and measure.