Generate an image with Python
Use the Python standard library to submit one MaxAPI image task, poll its status and recover without blindly generating a second image.
MaxAPI / API reference
Developer guides
Build a reliable image integration: start with one request, preserve task IDs, validate inputs, and understand routing and billing before increasing traffic.
Generate an image with Node.js
A dependency-free Node.js example with native fetch, bounded polling, explicit failures and no automatic POST retries.
Async image tasks: submit once, poll safely
Understand HTTP 202, queued and running states, successful results, failed tasks and recovery after a client timeout.
Send reference images without avoidable input errors
Choose the image edit endpoint, preserve reference order, validate real image files and check model-specific limits before scaling to many inputs.
Image resolution, aspect ratio and quality are different controls
Avoid copying 4K or high-quality settings between incompatible models. Match output parameters to the chosen MaxAPI model and endpoint.
Handle 429 and retries without a request storm
Distinguish request rate from concurrency, avoid unbounded retries and keep task polling separate from new generation submissions.
Diagnose image API errors before resubmitting
Separate connectivity, authentication, input, credit, policy and upstream errors; HTTP success alone does not establish task success.
Understand routes, prices and available balance
Read public prices as a catalogue, confirm account-specific access, and separate a temporary reservation from a settled charge.
Choose an image API model by requirements, not its name
Compare five MaxAPI image entries by reference limits, output controls and published routing. Then verify quality and actual cost with the same authorized inputs.
Connect MaxAPI images to n8n without duplicate submissions
Configure a manual submit workflow and a separate status check with HTTP Request, credential storage and explicit task-state handling.