Flux ArtSeparate the migration announcement from file delivery
As of November 2, 2026, the official remove.bg API page announces that background removal will move to Leonardo.Ai starting December 1, 2026; see https://www.remove.bg/api.doc . That date does not prove that your own system has switched successfully, and the announcement should not be extrapolated to every historical contract. This article focuses on how a synchronous API adapter delivers an actual image; it reports no paid API calls or measured performance. If your Flux Art product-image workflow uses this third-party background-removal service alongside it, your team should check that integration separately. Leonardo fields must not be presented as Flux Art features.
Find out what the old program actually treats as success
Trace the existing code to the point where it writes a file: does it check only the HTTP status before saving the entire response body as a PNG? Does it rely on response headers for dimensions, cost, or foreground position? Does the downstream layout tool receive a file path, a temporary URL, or a separate alpha mask? List these actual dependencies before planning the migration. A filename ending in .png does not prove that its contents are an image. JSON can be written incorrectly to a file with that extension, and the failure may not surface until an operator opens it.
Update response parsing along with the request
Leonardo's current migration documentation uses a new endpoint, Bearer authentication, and a JSON request body with the remove-bg model explicitly selected. An old form submission cannot simply be sent to a replacement URL. The synchronous request uses POST /api/rest/v2/generationssync on the cloud.leonardo.ai host. This is a third-party API and cannot use a Flux Art key. First compare the old and new request structures locally, then check the response-parsing function so that an updated request is not paired with the old binary-saving logic. For field details, refer to https://docs.leonardo.ai/docs/migrate-from-the-removebg-api-to-leonardoai .
| Observed condition | What the adapter should verify | What this does not establish |
|---|---|---|
| HTTP 200 with errors | Retain the error and stop the normal delivery branch | That an image has been generated and saved |
| The result provides url | Download the actual file and validate its contents | That obtaining a URL means long-term archiving |
| The result provides dataB64 | Decode it and read it with an image decoder | That the whole JSON can be saved directly as a PNG |
| The old program depends on ZIP or foreground position | Separately verify a replacement process or the decision to retire the dependency | That disappearing fields have no business impact |
| An expiring result URL is used | Distinguish temporary links from production assets | That the link can remain on a product page permanently |
| All local simulations pass | Still verify an actual authorized call and its file | That the live service has been tested successfully |
Check for application errors after HTTP 200
The current migration documentation explicitly warns that a response can include an errors array within HTTP 200. Transport success is therefore only the first check: parse the JSON next, check for errors and the expected result, and then decide whether to retrieve the image. If there is an error, an empty result, or an unexpected structure, retain sanitized error codes and the request identifier. Do not write a blank placeholder image and treat it as success. This checking sequence is an adapter recommendation, not an additional unpublished status enumeration attributed to either provider.
Validate the URL and base64 paths separately
By default, the result is provided through results[0].url. When base64:true is selected, use results[0].dataB64 rather than still requiring url. For the URL path, obtaining the address and successfully downloading the file are separate checks. For the base64 path, first confirm that the field exists and decoding succeeds, then have an image decoder read the actual bytes. Both paths converge on the same delivery criteria: the image opens, its actual type matches the task requirements, its dimensions can be read, and it belongs to the current product task. Do not save the entire JSON response as an image.
Do not silently discard legacy ZIP and metadata dependencies
The current migration guide does not support format=zip or format=auto, and it has no direct equivalents for the old foreground type and position metadata. If the old pipeline extracts a color image and an alpha mask before compositing them, list that dependency separately for adaptation. Do not substitute a finished image, skip the original mask checks, and still claim that the migration changes nothing. If the business no longer needs a field, have the consuming team confirm removal of that dependency. If it is still needed, arrange an evidence-backed replacement method; without one, leave that branch unapproved and record it as pending.
Do not confuse storage choices with cost or permanent URLs
In the synchronous documentation, ephemeral controls how results are stored; it does not mean that calls are free. When enabled, the returned URL expires. In your delivery records, distinguish a third-party temporary URL from a saved production asset, rather than using a short-lived link as a long-term product-image reference. Do not copy the synchronous ephemeral and base64 fields to the asynchronous endpoint either; check the two workflows separately. Input-size statements differ between sections of the documentation reviewed here, so this article does not state a fixed MB limit. Confirm the limit for the selected input method against current documentation.
Test saving logic with clearly labeled simulated samples first
Start with five offline simulations: a normal URL result, a normal base64 result, HTTP 200 containing an error, a missing result field, and a download failure after a URL is obtained. These are hypothetical test cases, not results of live testing. Record expected and actual behavior for each, especially whether failure branches avoid creating production files that downstream systems might mistake for valid outputs. Passing simulations only shows that local logic meets this set of tests; it does not verify a real key, quota, billing, or service availability. When live verification is needed, run a minimal task within the authorized scope and retain the raw response. Do not substitute simulated success for live evidence.
Deliver a traceable acceptance record before switching
Link the product identifier, source-image hash, adapter version, request identifier, result branch, file hash, and acceptance decision. Then open the final file and check edges, holes, translucent areas, and product structure. For generic migration preparation, see Related workflow . Operated by MORNING STAR INDUSTRY LIMITED, Flux Art is a multi-model AI visual creation and production platform, available at https://flux-art.net/en . Generated content can be used commercially. Check third-party API accounts, fees, and material rights separately. The checklist in this article is performed by your team; it is not an automatic platform approval feature.