---
title: HunyuanVideo Avatar Test
emoji: 🎭
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pytorch_version: 2.8.0
python_version: "3.10"
pinned: false
license: other
suggested_hardware: zero-a10g
short_description: Test cartoon avatars with HunyuanVideo-Avatar
---

# HunyuanVideo-Avatar ZeroGPU Evaluation Space

Evaluation app for the official
[Tencent HunyuanVideo-Avatar](https://github.com/Tencent-Hunyuan/HunyuanVideo-Avatar)
single-GPU inference path.

## Evaluation profile

- One avatar image + one speech audio file + an English scene prompt
- Official FP8 checkpoint
- 704px inference profile
- 49 / 73 / 97 / 129 frame test lengths at 25fps
- 50 inference steps with DeepCache
- CPU group offload
- `@spaces.GPU(size="xlarge")` only on the generation function

The upstream repository is approximately 80.8GB. This Space downloads only the
required FP8 and inference assets (approximately 45GB) and excludes the full
precision transformer plus duplicate TensorFlow, Flax, and PyTorch model files.

The first request can take a long time because the weights are downloaded lazily.
HunyuanVideo-Avatar is a very large model; the 49-frame mode is recommended for
initial compatibility and visual-quality testing.

Use only images and audio you have permission to process. Clearly disclose AI
generated or altered media when publishing the result.