GAN API Lab / tag collection

API design

Interfaces that explain their own behavior. Explore request limits, explicit input types, pipeline boundaries, and understandable failure states. These articles treat the API as a contract around a model rather than a thin wrapper around an undocumented research script.

Use this collection when writing a first specification. Describe one unit of work, identify which controls the selected model supports, and decide what a successful response actually means. Then connect the interface to the evaluation and artifact records that let another engineer inspect the result.

02 guides in this collection

Text-to-Speech GAN APIs: Where the Vocoder Fits

Connect text processing, acoustic modeling, and waveform synthesis without confusing a GAN vocoder with a complete speech system.

Read the guide

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