Genmo
Genmo develops advanced video world models and provides Mochi 1, an open-source state-of-the-art text-to-video model with an interactive playground and repositories on GitHub and Hugging Face.
Genmo is text-to-video software teams evaluate for creative & design. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Quick Overview
Best for: Creative & Design
What it does
Text-to-Video software for decision-makers comparing workflow fit and alternatives.
Best fit
Creative & Design
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Genmo
Genmo builds open world video models that aim to understand and generate physical-world video content. Their flagship open-source model, Mochi 1, is a text-to-video system designed to convert written prompts into short videos. Genmo provides an interactive playground for experimenting with Mochi, a public GitHub repository and Hugging Face presence for the model, and resources aimed at researchers, developers, and creators who want to run or customize the model locally.
Genmo develops advanced video world models and provides Mochi 1, an open-source state-of-the-art text-to-video model with an interactive playground and repositories on GitHub and Hugging Face.
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Mochi 1 (text-to-video)
An open-source state-of-the-art text-to-video model that generates short videos from written prompts.
Open-source distribution
Mochi 1 is available on GitHub and Hugging Face, allowing users to run, inspect, and customize the model locally.
Interactive playground
A web-based playground where users can test Mochi's capabilities, try prompts, and iterate on results.
ComfyUI compatibility
Mochi can be run and customized using ComfyUI, enabling visual workflows and integrations.
Research focus
Genmo positions Mochi as a research-grade model and publishes related research and documentation for the community.
Quickstart tooling
Repository includes quickstart scripts and demos (example: clone repo, pip install -e ., run demos/cli.py) to help users generate video locally.
Pricing
Mochi 1 is open-source and can be run locally; there is no commercial pricing listed on the site.
Use Cases
Creative video generation
Turn descriptive prompts (e.g., slow-motion glass shattering, time-lapse murals, behind-the-curtain stage scenes) into short generated videos for storytelling or concept visualization.
Research and model development
Researchers can study and extend Mochi 1 to advance text-to-video modeling and world model understanding.
Customization and local deployment
Developers and artists can run Mochi locally, modify model components, or integrate it into custom pipelines using the open-source codebase and ComfyUI.
Integrations
GitHub
Primary code repository for Mochi 1; enables cloning, contribution, and running the model locally.
Hugging Face
Model hosting and community space for Mochi 1 assets and model sharing.
ComfyUI
A visual UI/workflow tool that supports running and customizing Mochi within visual pipelines.
Benefits
Limitations
Frequently Asked Questions
Is Mochi 1 open-source?
How do I run Mochi locally?
Can I use Mochi in a production API?
Where can I get help or report issues?
Getting Started
- 1 Clone the Mochi repository: git clone https://github.com/genmoai/mochi
- 2 Install dependencies and package: pip install -e .
- 3 Generate your first video using the demo CLI: python demos/cli.py
Support
Docs
Documentation and quickstart available in the GitHub repository and model pages (GitHub, Hugging Face).
Community (Discord)
Community support and discussion via Genmo's Discord channel (link available on the site).
Help Center / Contact
Site provides a Help Center and Contact page for direct inquiries and support.
Issue tracker
Report bugs or request features via the GitHub repository issue tracker.
API
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