How to Use flux-3-max/image-to-video via the HiAPI API: curl, Python, and a Working Request

Common Failure Modes and How to Debug Them

Most integration problems fall into a handful of buckets. Here is how each one shows up.

Missing or unreachable first frame

If the response rejects the request outright, check the image value first. Common causes: a local file path instead of a URL, an http URL where the image is not publicly served, an expired signed link, or a URL that returns HTML instead of an image. Test the URL in a browser — if you see a login page or a download prompt, the API will not see an image either.

A prompt with no motion

Static descriptions produce static-looking results or weak animation. Prompts like "a cat on a chair" describe content, not movement. Rewrite with explicit motion and camera language: what moves, in which direction, how fast, and how the camera behaves. If you get a successful task but the output barely changes, this is almost always the cause.

Over-aggressive polling

Hitting the status endpoint many times per second is a classic self-inflicted failure. It can trip rate limits, produce transient errors that mask the real state, and waste resources. Keep the interval at a few seconds and rely on a deadline to bound the wait.

Reading the wrong field

The submit response and the completed task are not the same shape. A script that greps for the output URL right after submission will find nothing — the output only exists once status reaches completed. Branch on status before touching output fields.

Treating errors as retryable when they are not

Authentication failures and malformed bodies will not fix themselves on retry. Distinguish validation errors (fix the request) from transient network or service errors (retry with backoff). Dumping the full JSON response body into your logs makes this distinction obvious in practice.

Get these five right and the integration is stable. Start with a single short-duration call, confirm the task reaches completed, then wire the polling loop into your pipeline and iterate on prompts against a fixed first frame.