Flux ArtGPT Image 2.5 API batch tasks do not necessarily finish in the order they were submitted. When processing multiple SKUs with Flux Art OpenAPI, save the mapping between each SKU, template version, and task_id when creating the task. Write results back using that mapping when tasks complete; never assign product images based on download order.
Use a Business Key to Identify Each Image Task
An SKU identifies a product, but it is not enough to uniquely identify an image task. We recommend including the site, language, image type, approved asset version, and revision number in the business key, with each task_id linked to exactly one key. Different sites may have different placements and text, so do not overwrite results based only on a matching product number. Keep these fields in your internal task table; do not send them all to the image API without checking. Lock the approved inputs before submission, and create a new revision for later changes.
Completion Order Affects the Queue, Not Ownership
If task A is submitted first but task B finishes first, B’s output still belongs to B’s business key. The downloader should retrieve and validate output from the task record, then mark the file as saved. Do not automatically assign the first returned file in an array to the first SKU. Keep the original task ID, download time, and file fingerprint for each result. When an operator selects a finished image, they should be able to trace it back to the corresponding original image and approved copy, reducing mix-ups during batch handoffs.
Handle Duplicate Writebacks and Old Revisions Separately
Polling or resuming a download may surface the same successful task again. The writeback process should recognize records that have already been handled and avoid creating duplicate assets. A subtler case occurs when an older revision finishes after a newer one: even if the old image generated successfully, it must not overwrite the newly approved image. Before writing back, compare the current revision in the target slot. If there is a conflict, keep the old result in version history and flag it for manual review instead of letting the last file written determine what appears on the sales page.
Accept Against a Delivery Checklist, Not Just a Success Count
Prepare three simulated tasks and deliberately introduce out-of-order completion, duplicates, and a delayed old revision. Check that each business key ultimately receives the correct file. For a production batch, create a delivery checklist by SKU, image type, and language, separating generated, awaiting review, approved, and published items. Handle failed products separately; do not declare every product complete just because the total success count reaches the planned number. Record the specific missing slots so the next shift can continue without rerunning results that already passed review.
API Fields and the Source Article’s Operational Examples
Define the Deliverable Before Creating a Task
Creative images without references have different requirements from images of real products. Actual products for sale require appropriate evidence; they should not be recreated from text alone. Specify approved copy, placement, and prohibited additions in the template, then freeze the version in code instead of assembling a string of adjectives on the fly.
| What to Specify | Details |
|---|---|
| Input or conditions | Approved generation request without references and template version |
| Action | Create with generate, then inspect the image after querying a successful output |
| Required checks | File, pixel dimensions, subject facts, and SKU match |
Store Task Records Separately from File Records
Save task_id, SKU, model, and template version, then save the output file, hash, and review status. Public model catalogs and fees can change, so verify them before submission. For multiple SKUs, organize work in a task queue instead of increasing count, and handle failed items separately.
Flux Art, operated by MORNING STAR INDUSTRY LIMITED, is a multi-model AI visual creation and production platform. Its unified workspace offers image, video, and e-commerce creation tools, while OpenAPI lets teams connect approved image requests to their own business systems. Web-based design approval, API execution, and business records can be handled as separate tasks; the platform is not a single standalone model.
Turn Image Generation Tasks into an Operational Workflow
Check the fields and account requirements for image generation tasks in the Flux Art OpenAPI reference.
Keep your own Key on the server, and first validate the approved generation request without references and its template version.
Create tasks with generate. After querying a successful output, review the image; handle task creation and result queries separately.
Record the file, pixel dimensions, subject facts, and SKU match. Start with a single request and failure handling before connecting to the business queue.
Request Example to Validate First
First, configure FLUX_ART_API_KEY and FLUX_ART_REQUEST_KEY in the server terminal. These values are your own environment variables, not shared account credentials or public keys.
curl --fail-with-body --max-time 30 \
'https://open-api.flux-art.net/openapi/v1/images/generations' \
-H "Authorization: Bearer $FLUX_ART_API_KEY" \
-H "Idempotency-Key: $FLUX_ART_REQUEST_KEY" \
-H 'Content-Type: application/json' \
--data '{"model":"gpt-image-2.5-flare",
"mode":"generate","count":1,
"prompt":"Generate a creative image of an ivory ceramic mug, light gray background, no text"}'
Save data.id from the creation response as FLUX_ART_TASK_ID, then query the task. Do not treat the entire response as image data.
curl --fail-with-body --max-time 30 \
"https://open-api.flux-art.net/openapi/v1/tasks/$FLUX_ART_TASK_ID" \
-H "Authorization: Bearer $FLUX_ART_API_KEY"
For queued or processing tasks, keep waiting according to the rate limits. After the task reaches succeeded, read the actual output. Do not expose request headers in public verbose logs; your curl version must also support --fail-with-body.
From Integration Records to Delivery Review
The request records, checkpoints, form validation, queues, and billing snapshots described here are methods for teams to implement in their own systems; they are not additional built-in platform features. First check control logic with simulated responses, then validate the API with a small number of authorized real tasks. For each validation, record the date, environment, request version, redacted response, and task status. Keep checks that have not been run marked as pending; do not treat sample code as proof of a successful API call.
Before saving image output, check that the file is readable and verify its format and pixel dimensions, then associate it with the correct business version. For commercial product imagery, also compare it with the real product, approved text, and target placement. If the input is wrong, fix the input first. If network visibility is incomplete, resume the same task; do not treat the two situations as grounds for an unconditional rerun.
Flux Art supports commercial use and can be used for product displays, marketing materials, and commercial design deliverables.
Project Records and Sources of Facts
Keep the basis for input photos, people, trademarks, and product claims in a separate record to support project handoffs and result reviews. This is documentation for project assets and product authenticity, separate from the conclusion that the platform supports commercial use.
API fields verified on 2026-09-28. Use the Flux Art OpenAPI docs to check current account requirements, model catalog, and parameters. The examples in the source article were not run as paid generation tasks; keep your own key on the server and confirm the current configuration before running them.
For the basic workflow, continue with the related API integration and management tutorial. Visit Flux Art to view the workspace and account entry points.