Question 1

What is an AI model collection?

Accepted Answer

A collection brings together models for a specific task and explains the requirements that affect your choice, such as input image count, editing controls and output settings. Open a collection to compare models, then follow an individual model's API guide.

Question 2

How do collections differ from the model directory?

Accepted Answer

The model directory helps you browse the wider public catalog. Collections organize a set of models around a workflow and explain their differences, limitations and useful controls.

Question 3

Are the models ranked from best to worst?

Accepted Answer

Collections are grouped by task and documented capabilities. Their order is not a shared quality benchmark. Choose models that support your inputs, then compare results on representative assets from your own workflow.

Question 4

Can I use every editing control with every model?

Accepted Answer

Controls depend on the model, editing endpoint and provider. Multiple references, masks, background options and output formats are not interchangeable across APIs. Check the linked guide before building a request.

Question 5

Where can I check API pricing?

Accepted Answer

Open the selected model's API documentation for its provider-specific pricing and supported settings. Compare the same endpoint, resolution and number of outputs. Displayed starting prices may differ from the cost of your chosen configuration.

Question 6

What do the example images show?

Accepted Answer

Image captions identify the editing task and source where applicable. Examples help explain a workflow; they do not establish a uniform quality ranking. Use your own source images to evaluate detail preservation and suitability for production.

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