Virtual staging 8 rooms, 3 takes each: Seedream vs Flux cost
A listing with 8 rooms and 3 staged takes each is 24 images: $1.20 on Seedream 4.5, $1.50 on Flux 2 Flex, $2.40 on Nano Banana 2 at 1K on Sume.

Answer
Staging one listing with 8 rooms and 3 takes per room is 24 images, which costs $1.20 on Seedream 4.5, $1.50 on Flux 2 Flex and $2.40 on Nano Banana 2 at 1K, going by Sume's catalog prices on 2026-10-04. The empty-room photo goes in as input_references, and the prompt names the style and the furniture.
Each room is one request with n: 3, so a listing is 8 requests. Sume bills only completed generations, so a take that fails is not charged.
| Model | Per image | 24 images | 10 listings |
|---|---|---|---|
| Seedream 4.5 | $0.05 | $1.20 | $12.00 |
| Flux 2 Pro | $0.0375 | $0.90 | $9.00 |
| Flux 2 Flex | $0.0625 | $1.50 | $15.00 |
| Nano Banana 2 (1K) | $0.10 | $2.40 | $24.00 |
Settings that matter for rooms
- Set
aspect_ratio: "auto"so the staged room keeps the camera framing of the empty-room photo. Omitting the field does not give the same result. - Use one photo per request. A second reference should be a style or furniture picture, not a second room.
- Say what must not change: walls, windows, floor and the camera angle. Describe only what you add.
- Tag the output as staged in your listing text. An edit that adds a window or alters a floor misrepresents the property, so check each take against the source photo.
A sensible workflow
Run the first pass on Flux 2 Pro at $0.0375, review the three takes per room, and send the rooms with a weak result to Nano Banana 2 for one more try. If 2 of 8 rooms need a retry, the bill is $0.90 + 2 x 3 x $0.10 = $1.50, still below running every room on the premium row.
If the source photo is a local file, host it at a public HTTPS URL first. Sume rejects localhost, private-network and non-HTTPS reference URLs before the request is submitted. Docs: Sume Image API.
Before a large run
Prices and descriptors change when the catalog changes, so confirm them before you spend. Call GET /v1/images/models/{id}/endpoints for the row you plan to use and read its pricing line and supported_parameters; both come back in one response.
Then run a pilot of three to five images and read usage.cost on each response. Multiply by your planned count for a forecast you can trust. Completed generations are billed in full and failed or cancelled ones are not, so a pilot that errors costs nothing.
For big batches, use mode: "async" or mode: "webhook" with a public HTTPS webhook_url, so no request waits on the 30-second sync limit. Poll GET /v1/jobs/{id}/status and fetch GET /v1/jobs/{id}/result when the job completes.
Sources
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