Model CoverageDiffusion

HunyuanVideo 1.5

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HunyuanVideo 1.5 is a 13B parameter text-to-video diffusion model from the Hunyuan community, supporting 720p resolution video generation with flow matching training.

TaskText-to-Video
ArchitectureDiT (Flow Matching)
Parameters13B
HF Orghunyuanvideo-community

Available Models

  • HunyuanVideo-1.5-Diffusers-720p_t2v: 13B parameters

Task

  • Text-to-Video (T2V)

Example HF Models

Example Recipes

RecipeDescription
hunyuan_t2v_flow.yamlFine-tune — HunyuanVideo 1.5 with flow matching

Try with NeMo AutoModel

1. Clone and install from source (full instructions):

$git clone https://github.com/NVIDIA-NeMo/Automodel.git
$cd Automodel
$uv sync --locked --all-groups --all-extras --extra diffusion-media

2. Run the recipe from inside the repo:

$uv run 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:

$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):

$cd /opt/Automodel

3. Install media dependencies (not installed in the container by default):

$uv pip install ".[diffusion-media]"

4. Run the recipe:

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

See the Installation Guide and Diffusion Fine-Tuning Guide.

Training

See the Diffusion Training and Fine-Tuning Guide and Dataset Preparation.

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