Genmo

Genmo

Genmo is a company developing advanced video world models and offers Mochi 1, an open-source text-to-video model that converts written concepts into video and can be run locally or explored via an interactive playground.

Genmo is video generation software teams evaluate for video generation. Use this page to review pricing, integration signals, and the best alternatives before you commit.

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One of 202 tools in Video Generation
Added 8 months ago
Data reviewed Jul 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Video Generation

What it does

Video Generation software for decision-makers comparing workflow fit and alternatives.

Best fit

Video Generation

Pricing snapshot

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Genmo develops advanced video world models and presents Mochi 1, an open-source text-to-video model designed to convert written prompts into videos. The site highlights running Mochi locally, customizing it (including via ComfyUI), and experimenting with an interactive playground. Genmo positions Mochi as an open, research-driven product with source code and examples available on GitHub and Hugging Face.

Genmo is a company developing advanced video world models and offers Mochi 1, an open-source text-to-video model that converts written concepts into video and can be run locally or explored via an interactive playground.

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Key Features

Text-to-video generation

Mochi 1 converts written concepts and prompts into generated video content.

Open source

Mochi 1 is available as an open-source repository that can be run and customized locally.

Local run and customization

Instructions and quickstart commands (git clone, install, run demos/cli.py) enable local usage and customization.

ComfyUI compatibility

The project can be run and customized using ComfyUI for tailored workflows.

Interactive playground

A web playground lets users explore Mochi's capabilities and test prompts interactively.

Pricing

Free Tier Available

Open-source model available on GitHub (Mochi 1 repository) for local use and customization.

Use Cases

Creative content generation

Turn textual ideas or prompts into visual stories and videos for creative projects.

Research and development

Researchers and engineers can run and customize the open-source model locally to experiment and iterate on video generation models.

Prototype and test via playground

Use the interactive playground to prototype prompts and evaluate model behavior without local setup.

Open-source contributions

Contribute to the model and repository to advance open research in text-to-video generation.

Integrations

ComfyUI

Supports running and customizing Mochi via ComfyUI for tailored user interfaces and pipelines.

GitHub

Primary distribution and source code repository for Mochi 1 (git clone https://github.com/genmoai/mochi).

Hugging Face

Mochi 1 is listed on Hugging Face as a distribution/hosting option (referenced on site).

Benefits

Open-source availability enables transparency, local control, and customization.
Interactive playground lets users quickly test and iterate on prompts.
Local deployment and ComfyUI support facilitate integration into custom workflows.

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Clone the Mochi repository (git clone https://github.com/genmoai/mochi).
  2. 2 Step 2: Install dependencies (example: pip install -e .).
  3. 3 Step 3: Generate your first video using the demo CLI (python demos/cli.py) or follow quickstart.sh.

Support

Help Center

Access site help center (Help Center link referenced in footer).

Community (Discord)

Connect via Discord (listed under Connect on the site).

Social

Channels listed include X (Twitter), LinkedIn, Threads, YouTube, Instagram, and TikTok.

API

Available: No

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