Orux AI ·
Choose an image API by its supported workflow: text-to-image, reference-image generation or editing. Evaluate instruction following, output size, input limits and cost using examples that resemble your real work.
Which AI image API is best for product images or marketing assets?
Choose based on the required output, not a single overall ranking. For product work, test whether the model preserves the item, material and composition you need. For marketing graphics, test typography, layout and consistency across revisions.
Use examples from your own project and record the prompt and parameters. Orux offers image models through its catalog, where you can inspect supported inputs and example outputs. Those examples help you shortlist models; they are not an independent benchmark of brand accuracy or commercial suitability.
What is the difference between text-to-image and image editing APIs?
Text-to-image starts from a written description. Image editing uses one or more existing images as part of the request and may support a mask or other controls, depending on the model. Supplying a reference image does not guarantee that the model offers every editing operation.
Check accepted file formats, size limits, reference-image count and how the selected model describes the operation. Send only fields supported by that model's form or API example. A text-only image request should not be assumed to support editing simply because another model on the same platform does.
Why should I save prompts and generation parameters with the image?
The prompt alone may not describe the request. Output size, aspect ratio, image count, seed and input references can all matter when the selected model supports them. Save these values with the result so a teammate can understand what was generated and reproduce the request structure.
A saved seed is useful context, but it is not a universal guarantee of identical output across providers or later model versions. For a fair comparison, keep the same request specification and evaluate several relevant examples rather than selecting only the most attractive result.
How should an application handle generated image URLs?
Treat a returned URL as a delivery mechanism, not a promise of permanent storage. Check the provider's retention terms and your right to store and use the result. If your application needs a lasting asset, save it in storage you control and retain the relevant request record.
For Orux, follow the selected model's documented response format and inspect the final task state when generation is asynchronous. Review usage documentation and terms before integrating generated images into a customer-facing workflow.