MotionSmith Runtime

MotionSmith Runtime is the external AI runtime package used by MotionSmith - AI Animation Studio for Unreal Engine.

It provides the Python environment, NVIDIA Kimodo components, motion-generation model, LLM2Vec text-encoder adapters, backend workers, and supporting dependencies required by MotionSmith.

This repository is intended for use with the MotionSmith Unreal Engine plugin and is not a standalone application.

Runtime Version

MotionSmith Runtime 1.0.0 โ€” Win64

Runtime package:

releases/1.0.0/MotionSmithRuntime-1.0.0-Win64.zip

SHA-256:

98acde53cc8c16d2496f5512978f1f5227075930417ebdd9db36ed123abddf03

Installation

The recommended installation method is through MotionSmith inside Unreal Engine.

Open:

Editor Preferences โ†’ Plugins โ†’ MotionSmith

Then use:

Install MotionSmith Runtime

MotionSmith downloads this Runtime package, verifies its SHA-256 checksum, installs it to the local MotionSmith Runtime directory, and validates the required components.

Default installation location on Windows:

%LOCALAPPDATA%\MotionSmith\Runtime

Manual extraction is normally not required.

Included Components

The Runtime package includes:

  • Python 3.12 runtime
  • CUDA-enabled PyTorch environment
  • NVIDIA Kimodo runtime components
  • Kimodo-SOMA-RP-v1.1 motion model
  • MotionSmith backend workers
  • MotionCorrection dependencies
  • LLM2Vec MNTP adapter
  • LLM2Vec supervised adapter
  • Tokenizer and text-encoder support files
  • Runtime diagnostics and validation resources
  • Required third-party Python dependencies
  • Third-party license and attribution files

Meta Llama 3

Meta Llama 3 model weights are NOT included in this repository or in the MotionSmith Runtime package.

MotionSmith uses Meta Llama 3 8B Instruct together with LLM2Vec for text encoding.

Users obtain Meta Llama 3 separately from the official Meta repository on Hugging Face after accepting the applicable Meta license and access terms.

MotionSmith can download and configure the model from within its setup interface using the user's own Hugging Face read token.

The Hugging Face token is used only for the requested download and is not stored permanently by MotionSmith.

Existing local Meta Llama 3 installations can also be selected manually.

Built with Meta Llama 3.

Runtime Validation

MotionSmith validates the Runtime before generation and checks components including:

  • Runtime version
  • Python
  • PyTorch
  • CUDA availability
  • NVIDIA Kimodo
  • Motion model
  • LLM2Vec adapters
  • Meta Llama 3
  • Backend worker availability

The MotionSmith Diagnostics / Pre-Flight system reports whether the environment is ready for animation generation.

Platform

Current release target:

  • Windows 64-bit
  • Unreal Engine 5.8
  • NVIDIA CUDA-capable GPU

MotionSmith Runtime 1.0.0 has been tested with the MotionSmith 1.0.0 Unreal Engine plugin.

Licensing

This repository contains components distributed under multiple independent licenses.

No single license applies to every component contained in the MotionSmith Runtime package.

Third-party license texts, notices, source information, and attribution records are included under:

Licenses/

Major components include software and/or model assets from projects such as:

  • NVIDIA Kimodo
  • LLM2Vec / McGill-NLP
  • Python
  • PyTorch
  • Hugging Face libraries
  • Other third-party Python dependencies

Each component remains subject to its respective license terms.

See the repository LICENSE file and the Licenses/ directory inside the Runtime package for details.

Distribution

This Runtime repository exists to support legitimate installations of MotionSmith.

Do not treat the complete Runtime archive as a separately licensed standalone product or assume that all bundled third-party components may be redistributed independently of their respective licenses.

MotionSmith

MotionSmith - AI Animation Studio provides AI-assisted human motion generation, continuation, editing, pose authoring, timeline workflows, and retargeting inside Unreal Engine.

Powered by NVIDIA Kimodo.

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