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Video · text-to-video

Mochi-1

genmo

Official GitHub org is genmoai; official HF org is genmo.

IntegratedUnified environmentPinned sourcemochi-1

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 mochi-1-preview-t2v \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval/mochi-1-preview-t2v \
  --metric artifact_count \
  --json
01

Compatibility & versions

Manifest-backed recipe

Integration
integrated
Runner evidence
pending
Environment
worldfoundry-unified-cu128
Python
3.11
CUDA
CUDA 12.8
PyTorch
torch
Source revision
0c86aebf386e6622deadfb47ff1996878cefc0ac
Checkpoint revision
14be5fcea23095ed330cb214647916a451e38b6e
Runtime profile
mochi-1-preview-t2v
Pipeline binding
mochi-1
Runner
worldfoundry.pipeline
Pipeline target
worldfoundry.pipelines.video_official.pipeline_official_video:Mochi1PreviewT2VPipeline
Backend stage
official_hf_diffusers_runtime
Runtime status
integrated_checkpoint_required
Driver status
compatible_unified_default
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 mochi-1-preview-t2v
Package constraints 4
  • torch
  • torchvision
  • torchaudio
  • xfuser
Conda packages 5
  • python=3.11
  • pip
  • ffmpeg
  • setuptools
  • wheel
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 mochi-1 --check-local --json
genmo/mochi-1-preview
Revision
14be5fcea23095ed330cb214647916a451e38b6e
License
apache-2.0
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 mochi-1-preview-t2v \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval/mochi-1-preview-t2v \
  --metric artifact_count \
  --json

Input contract

FieldRecorded contract
promptRequired
imageOptional
videoOptional
actionsseed

Artifact contract

Artifact kindFilename / path
generated_videomochi-1-preview-t2v.mp4
05

Evidence & sources

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

Integration
integrated
Runner evidence
pending
Native demo evidence
pending
Validation imports
torch, torchvision, numpy, transformers, diffusers, xfuser, worldfoundry
Recipe provenance
worldfoundry/data/models/catalog/video/mochi-1.yamlGitHub0c86aebf386e6622deadfb47ff1996878cefc0ac