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

HunyuanVideo 1.5

tencent

Added as a high-priority current open-weight video model. Native T2V and I2V infer-only `generate.py` paths are now ported in-tree and release-validation verified with local checkpoint assets.

Runner verifiedUnified environmentPinned sourcehunyuanvideo-1.5

Build your run

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

worldfoundry.pipeline
Tasktext-to-video
Environmentworldfoundry-unified-cu128
DeviceCUDA 12.8
worldfoundry-eval evaluate \
  --mode model \
  --model-id hunyuanvideo-1.5-t2v \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval/hunyuanvideo-1.5-t2v \
  --metric artifact_count \
  --json
01

Compatibility & versions

Manifest-backed recipe

Integration
integrated
Runner evidence
verified
Environment
worldfoundry-unified-cu128
Python
3.11
CUDA
CUDA 12.8
PyTorch
torch
Source revision
60783e704160023913bee78f0b47036d393d4dfa
Checkpoint revision
9b49404b3f5df2a8f0b31df27a0c7ab872e7b038
Runtime profile
hunyuanvideo-1.5-t2v
Pipeline binding
hunyuanvideo-1.5
Runner
worldfoundry.pipeline
Pipeline target
worldfoundry.pipelines.video_official.pipeline_official_video:HunyuanVideo15T2VPipeline
Backend stage
official_runtime_bridge
Runtime status
integrated_checkpoint_required
Driver status
compatible
Environment kind
Unified 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-1.5-t2v
Package constraints 11
  • torch
  • torchvision
  • diffusers>=0.35.0
  • transformers>=4.57.1
  • accelerate
  • peft>=0.17.0
  • 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-1.5 --check-local --json
tencent/HunyuanVideo-1.5
Revision
9b49404b3f5df2a8f0b31df27a0c7ab872e7b038
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-1.5-t2v \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval/hunyuanvideo-1.5-t2v \
  --metric artifact_count \
  --json

Input contract

FieldRecorded contract
promptRequired
imageOptional
videoOptional
actionsseed

Artifact contract

Artifact kindFilename / path
generated_videohunyuanvideo-1.5-t2v.mp4
expected artifacthunyuanvideo15_t2v_native_seed42_848x480_9f.mp4
expected artifacthunyuanvideo15_t2v_worldfoundry_seed42_848x480_9f.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, peft
Recipe provenance
worldfoundry/data/models/catalog/video/hunyuanvideo-1.5.yamlGitHub60783e704160023913bee78f0b47036d393d4dfa