Genmo

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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#71 in Text-to-Video (71 tools)
Added 5 months ago
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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

Pricing snapshot

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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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Key Features

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

Free Tier Available

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

Open-source: full access to the model code and weights via GitHub and Hugging Face for inspection and modification.
Run locally and customize: users can deploy Mochi on their own infrastructure and tailor it to specific needs.
Interactive experimentation: the playground allows rapid iteration on prompts and model behavior without local setup.

Limitations

Compute requirements: running state-of-the-art text-to-video models locally typically requires significant GPU resources; specific hardware requirements are not listed on the site.
Research-stage model: Mochi 1 is presented with a research focus and may require engineering work to adapt for production use.
No hosted API detailed: the site does not describe a managed hosted API or commercial service for Mochi 1.

Frequently Asked Questions

Is Mochi 1 open-source?
Yes. Mochi 1 is published as an open-source text-to-video model with repositories available on GitHub and Hugging Face.
How do I run Mochi locally?
Clone the GitHub repo, install dependencies (pip install -e .), and run the provided demo scripts (for example: python demos/cli.py) to generate videos locally.
Can I use Mochi in a production API?
The site emphasizes Mochi as open-source research software and provides local-run instructions. There is no hosted production API or commercial service described on the site.
Where can I get help or report issues?
Genmo links to community channels such as Discord and provides a Help Center and contact page; code issues should be reported via the GitHub repository.

Getting Started

  1. 1 Clone the Mochi repository: git clone https://github.com/genmoai/mochi
  2. 2 Install dependencies and package: pip install -e .
  3. 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

Available: No

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