GAN API Lab / category collection

Foundations

Start with the interface, not the demo. Explore the decisions that turn a generative model into an inspectable workflow: input contracts, job states, model revisions, and output provenance. This collection is the starting point for engineers choosing a first GAN API workload.

Read the architecture guide before selecting a modality. Write down your acceptance criteria, identify a simple baseline, and decide what information a caller needs when a job fails. The aim is a bounded capability that can be tested and operated, rather than a universal endpoint with unclear behavior.

01 guide in this collection

Designing a GAN API: From Checkpoint to Reliable Interface

Turn a GAN checkpoint into a clear, versioned interface with useful job states, output provenance, and realistic evaluation.

Read the guide