> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trugen.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Models

> The Huma family of proprietary avatar-rendering models that power TruGen's real-time video agents.

TruGen builds and runs its own foundation models. Two families live here:

* The **[Huma family](#the-huma-family-at-a-glance)** — avatar renderers that turn audio into a photorealistic face. Two are in production today: **Huma-2** for real-time conversations, and **Huma-1** for high-expressiveness renders.
* **[Hawkeye-1](/docs/models/hawkeye-1)** — the Vision Action Recognition Model that gives agents real-time perception of the user, their environment, and their emotional state.

Together, Huma renders the face; Hawkeye reads the room.

## The Huma family at a glance

| Model                             | Render pipeline                            | Best fit                                            |
| --------------------------------- | ------------------------------------------ | --------------------------------------------------- |
| **[Huma-2](/docs/models/huma-2)** | ≤ 500 ms audio → video                     | Real-time conversational agents. Default renderer.  |
| **[Huma-1](/docs/models/huma-1)** | Higher — optimised for expression fidelity | Async video generation, high-expressiveness renders |

## Huma-2 vs Huma-1

The two production models take different design trade-offs. Here's how they compare across the dimensions that matter for real deployments.

| Dimension                                    | Huma-2                                                  | Huma-1                                                |
| -------------------------------------------- | ------------------------------------------------------- | ----------------------------------------------------- |
| **Primary use case**                         | Real-time conversation                                  | Async video generation, expressive renders            |
| **End-to-end conversational latency**        | ≤ 800 ms                                                | Higher — not tuned for throughput                     |
| **Render pipeline (audio → video)**          | ≤ 500 ms                                                | Longer per frame — optimised for expression           |
| **Rendering approach**                       | Gaussian Splatting with audio-driven facial deformation | First-generation neural avatar renderer               |
| **Source video required for custom avatars** | 2–3 minutes controlled recording                        | Longer, more constrained capture                      |
| **Model footprint**                          | Leaner, faster inference                                | Larger, more expressive per-frame                     |
| **Runtime**                                  | Two-phase (preload + inference)                         | Single-phase render                                   |
| **Expression fidelity**                      | High — natural facial motion, gaze, micro-expressions   | Highest — dense micro-expression and emotional nuance |
| **Audio robustness**                         | Robust across recording conditions                      | Tuned for clean audio input                           |
| **Availability**                             | Default on all new agents                               | Available on legacy agents                            |

## How the model fits in the pipeline

Whichever Huma model you use, it sits at the end of TruGen's conversational pipeline:

```
User audio → STT → LLM → TTS → Huma → Video output
                        ↑
                    Hawkeye-1 (vision context, in parallel)
```

Full breakdown in the [Realtime Pipeline](/docs/agents/pipeline).

## Next steps

<CardGroup cols={2}>
  <Card title="Huma-2 deep dive" icon="bolt" href="/docs/models/huma-2">
    Real-time avatar renderer — architecture, characteristics, and how it renders your agent.
  </Card>

  <Card title="Huma-1 deep dive" icon="palette" href="/docs/models/huma-1">
    First-generation expressive renderer.
  </Card>
</CardGroup>