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Video · text-to-video · image-to-video

HunyuanVideo

tencent

Tencent-Hunyuan GitHub and tencent Hugging Face repos were both reachable.

Runner verifiedDedicated environmentPinned sourcehunyuanvideo

Build your run

Choose a recorded variant, then copy the exact setup or inspection command.

worldfoundry.pipeline
Tasktext-to-video
EnvironmentHunyuanVideo
DeviceCUDA 12.4
worldfoundry-eval evaluate \
  --mode model \
  --model-id hunyuanvideo-t2v \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval/hunyuanvideo-t2v \
  --metric artifact_count \
  --json
01

Compatibility & versions

Manifest-backed recipe

Integration
integrated
Runner evidence
verified
Environment
HunyuanVideo
Python
3.10
CUDA
CUDA 12.4
PyTorch
torch
Source revision
e260ed40c88d104801a8b1de05d2ab81e965a9ef
Checkpoint revision
6204ad6aea1a77ff5aba337c88278bb9500eb37d
Runtime profile
hunyuanvideo-t2v
Pipeline binding
hunyuanvideo
Runner
worldfoundry.pipeline
Pipeline target
worldfoundry.pipelines.hunyuan_video.pipeline_hunyuan_video:HunyuanVideoT2VPipeline
Backend stage
official_in_tree_runtime
Runtime status
official_in_tree_runtime_ready_checkpoint_required
Driver status
compatible
Environment kind
Dedicated environment
02

Install environment

The environment resolver reads the recorded profile and chooses the unified or dedicated environment shown here.

bash scripts/setup/model_env_install.sh --model hunyuanvideo-t2v
Package constraints 10
  • torch
  • torchvision
  • diffusers==0.31.0
  • transformers
  • accelerate
  • safetensors
  • imageio
  • imageio-ffmpeg
  • opencv-python
  • sentencepiece
Conda packages 3
  • python
  • pip
  • ffmpeg
03

Checkpoints & assets

Run the local check before allocating compute. Gated, private, and license fields below come directly from the checkpoint manifest.

worldfoundry-eval zoo model-download --model-id hunyuanvideo --check-local --json
tencent/HunyuanVideo
Revision
6204ad6aea1a77ff5aba337c88278bb9500eb37d
License
other
Gated
false
Private
false
tencent/HunyuanVideo-I2V
Revision
3914f209367854b5e470f062c33159d5ab139e1e
License
other
Gated
false
Private
false
04

Launch & outputs

The generated command uses the shared evaluation boundary and writes durable result manifests and artifacts.

worldfoundry-eval evaluate \
  --mode model \
  --model-id hunyuanvideo-t2v \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval/hunyuanvideo-t2v \
  --metric artifact_count \
  --json

Input contract

FieldRecorded contract
promptRequired
imageOptional
videoOptional
actionsseed

Artifact contract

Artifact kindFilename / path
generated_videohunyuanvideo-t2v.mp4
expected artifacthunyuanvideo_t2v_official_cat_grass_1280x720_129f.mp4
expected artifacthunyuanvideo_t2v_worldfoundry_cat_grass_1280x720_129f.mp4
05

Evidence & sources

Catalog integration, native-demo parity, and runner parity are independent records.

Integration
integrated
Runner evidence
verified
Native demo evidence
verified
Validation imports
torch, diffusers, transformers
Recipe provenance
worldfoundry/data/models/catalog/video/hunyuanvideo.yamlGitHube260ed40c88d104801a8b1de05d2ab81e965a9ef