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Infinite-World

MeiGen-AI

In-tree Infinite-World runtime resolves local or Hugging Face checkpoint layouts without relying on an external repository at inference time.

Runner verifiedUnified environmentinfinite-world

Build your run

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

worldfoundry.pipeline
Taskworld
Environmentworldfoundry-unified-cu128
DeviceCUDA 12.8
worldfoundry-eval evaluate \
  --mode model \
  --model-id infinite-world \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval/infinite-world \
  --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
—
Checkpoint revision
—
Runtime profile
infinite-world
Pipeline binding
infinite-world
Runner
worldfoundry.pipeline
Pipeline target
worldfoundry.pipelines.infinite_world.pipeline_infinite_world:InfiniteWorldPipeline
Backend stage
in_tree_runtime
Runtime status
gpu_runtime_verified
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 infinite-world
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 infinite-world --check-local --json
thuml/InfiniteWorld
Revision
—
License
—
Gated
—
Private
—
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 infinite-world \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval/infinite-world \
  --metric artifact_count \
  --json

Input contract

FieldRecorded contract
promptRequired
imageRequired
videoOptional
actionscamera_path

Artifact contract

Artifact kindFilename / path
generated_world—
generated_worldinfinite-world.mp4
05

Evidence & sources

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

Integration
integrated
Runner evidence
verified
Native demo evidence
Not recorded
Validation imports
torch, torchvision, numpy, transformers, diffusers, xfuser, worldfoundry
Recipe provenance
worldfoundry/data/models/catalog/world_models/infinite-world.yamlGitHubhttps://github.com/MeiGen-AI/Infinite-WorldHugging Facehttps://huggingface.co/MeiGen-AI/Infinite-WorldSourcehttps://github.com/thuml/InfiniteWorld