Video · text-to-video

ModelScopeT2V

ali-vilab

Checkpoint license is non-commercial per HF cardData; do not treat as unrestricted open source.

IntegratedUnified environmentPinned sourcemodelscope-t2v

Build your run

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

worldfoundry.pipeline

Variant

Tasktext-to-video

Environmentworldfoundry-unified-cu128

DeviceCUDA 12.8

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

Compatibility & versions

Manifest-backed recipe

Integration: integrated
Runner evidence: Not recorded
Environment: worldfoundry-unified-cu128
Python: 3.11
CUDA: CUDA 12.8
PyTorch: torch
Source revision: 13064d9486d7f4be46294860767b1e93e149104f
Checkpoint revision: be1226886fc784c82239d75da687258d78cfd3bd

Runtime profile: modelscope-t2v
Pipeline binding: modelscope-t2v
Runner: worldfoundry.pipeline
Pipeline target: worldfoundry.pipelines.video_official.pipeline_official_video:ModelScopeT2VPipeline
Backend stage: official_hf_diffusers_runtime
Runtime status: integrated
Driver status: compatible_unified_default
Environment kind: Unified environment

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 modelscope-t2v

Package constraints 4

torch
torchvision
torchaudio
xfuser

Conda packages 5

python=3.11
pip
ffmpeg
setuptools
wheel

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 modelscope-t2v --check-local --json

ali-vilab/modelscope-damo-text-to-video-synthesis

Revision: be1226886fc784c82239d75da687258d78cfd3bd
License: cc-by-nc-4.0
Gated: false
Private: false

ali-vilab/modelscope-damo-text-to-video-synthesis

Revision: —
License: —
Gated: —
Private: —

Launch & outputs

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

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

Input contract

Field	Recorded contract
`prompt`	Required

Artifact contract

Artifact kind	Filename / path
`generated_video`	`modelscope-t2v.mp4`

Evidence & sources

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

Integration: integrated
Runner evidence: Not recorded
Native demo evidence: pending
Validation imports: torch, torchvision, numpy, transformers, diffusers, xfuser, worldfoundry

Recipe provenance

worldfoundry/data/models/catalog/video/modelscope-t2v.yamlGitHub13064d9486d7f4be46294860767b1e93e149104f

Build your run

Input contract

Artifact contract

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