Feature Request: Support for Multiple Faces with Unique Embedding IDs

Current Behavior:
The current sample only extracts the maximum face from the input image and uses it as the embedding.

Requested Feature:
Is there a plan to support multiple faces, each with a unique embedding ID or index?

Expected Behavior:

Option 1: The model should support the use of a unique embedding ID for each face, which can then be included as part of the prompt. Similar to how Lora embeddings are used.
Option 2: Allow the user to provide multiple indexed face images, with each face having its own unique embedding.

This feature would enhance the flexibility of the system, enabling better handling of images containing multiple faces.

Start by locating the sample code that extracts the maximum face and uses it as the embedding; the issue does not name a file, test, or entry point. Compare the two proposed approaches and define how multiple indexed faces would be supplied and referenced. Done means images containing multiple faces can produce distinct embeddings that are usable independently.

Written by the indexing model from the issue text.