> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/automodel/_mcp/server.

# HunyuanVideo 1.5

[HunyuanVideo 1.5](https://huggingface.co/hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-720p_t2v) is a 13B parameter text-to-video diffusion model from the Hunyuan community, supporting 720p resolution video generation with flow matching training.

|                  |                                                                         |
| ---------------- | ----------------------------------------------------------------------- |
| **Task**         | Text-to-Video                                                           |
| **Architecture** | DiT (Flow Matching)                                                     |
| **Parameters**   | 13B                                                                     |
| **HF Org**       | [hunyuanvideo-community](https://huggingface.co/hunyuanvideo-community) |

## Available Models

* **HunyuanVideo-1.5-Diffusers-720p\_t2v**: 13B parameters

## Task

* Text-to-Video (T2V)

## Example HF Models

| Model                     | HF ID                                                                                                                                             |
| ------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
| HunyuanVideo 1.5 720p T2V | [`hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-720p_t2v`](https://huggingface.co/hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-720p_t2v) |

## Example Recipes

| Recipe                                                                                                                          | Description                                     |
| ------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- |
| [hunyuan\_t2v\_flow.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/diffusion/finetune/hunyuan_t2v_flow.yaml) | Fine-tune — HunyuanVideo 1.5 with flow matching |

## Try with NeMo AutoModel

**1. Install** ([full instructions](/get-started/installation)):

```bash
pip install nemo-automodel
```

**2. Clone the repo** to get the example recipes:

```bash
git clone https://github.com/NVIDIA-NeMo/Automodel.git
cd Automodel
```

**3. Run the recipe** from inside the repo:

```bash
torchrun --nproc-per-node=8 \
  examples/diffusion/finetune/finetune.py \
  -c examples/diffusion/finetune/hunyuan_t2v_flow.yaml
```

**1. Pull the container** and mount a checkpoint directory:

```bash
docker run --gpus all -it --rm \
  --shm-size=8g \
  -v $(pwd)/checkpoints:/opt/Automodel/checkpoints \
  nvcr.io/nvidia/nemo-automodel:26.06.00
```

**2.** Navigate to the AutoModel directory (where the recipes are):

```bash
cd /opt/Automodel
```

**3. Run the recipe**:

```bash
torchrun --nproc-per-node=8 \
  examples/diffusion/finetune/finetune.py \
  -c examples/diffusion/finetune/hunyuan_t2v_flow.yaml
```

See the [Installation Guide](/get-started/installation) and [Diffusion Fine-Tuning Guide](/recipes-e2e-examples/diffusion-fine-tuning).

## Training

See the [Diffusion Training and Fine-Tuning Guide](/recipes-e2e-examples/diffusion-fine-tuning) and [Dataset Preparation](/datasets/diffusion-dataset).

## Hugging Face Model Cards

* [hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-720p\_t2v](https://huggingface.co/hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-720p_t2v)