genmo
Create realistic videos from text prompts using an open-source video generation model.
Genmo.ai
Is this your tool?
Follow for updates & deals
Get alerts for genmo discounts, feature releases & pricing changes
Similar Tools
Yolly AI
Generate high-quality videos and images from text prompts in seconds for creative projects.
Runway
Create and edit videos using AI-driven tools for text-to-video, background removal, and collaborative projects.
Auralume AI
Generate professional-quality videos from text prompts and images effortlessly with Auralume AI.
Krea
Create, enhance, and modify images, videos, and 3D objects using generative AI tools.
Vidguru
Create videos, images, and audio content with an all-in-one AI platform designed for seamless user experience.
genmo Media Gallery
genmo (review) video
Screenshot of genmo
What is genmo?
At Genmo, we are blazing trails in video synthesis innovation with Mochi 1, our state-of-the-art open-source video generation model. Our mission is to develop sophisticated models that expand the boundaries of video creation, allowing creators to produce any video imaginable—whether feasible or fantastical.
Introducing Mochi 1
Mochi 1 represents the peak of rigorous research and development, aiming to not just bridge the gap between open and closed video generation systems but also to set a new standard for quality. This powerful model generates exceptionally realistic motion and aligns closely with textual prompts, offering users intricate control over characters, settings, and actions in their generated videos.
Exceptional Features
The primary features of Mochi 1 are nothing short of remarkable:
- Unmatched Motion Quality: Each generated video adheres to physical laws, showcasing fluid and lifelike human movements, ensuring an engaging viewer experience.
- Superior Prompt Adherence: Users can create precise prompts to guide the video generation process closely, enabling the final product to meet their exact expectations.
- High Fidelity Processing: Mochi 1 operates at 30 frames per second, generating videos with high temporal coherence and realistic motion dynamics, greatly minimizing the gap between existing technology and realistic video production.
- Easy Accessibility: Designed with a simple, hackable architecture, Mochi 1 is suitable for both individual and commercial use, promoting community development and customization.
Whether you are creating compelling advertisements, educational videos, or artistic projects, Mochi 1 provides a robust toolkit to encourage creativity and innovation across various disciplines.
Pricing Plans
Genmo offers flexible pricing options tailored to a range of user requirements—from individuals experimenting with AI-driven videos to enterprises seeking advanced commercial capabilities:
- Free Plan: NULL/month, this plan gives new users an initial credit balance of 200 credits and a monthly replenishment of 50 credits. Outputs are watermarked with Genmo branding.
- Lite Plan: NULL/month, this plan provides 1,200 credits per month without a watermark, making it ideal for creators looking to explore commercial uses with greater freedom.
- Standard Plan: NULL/month, which includes 5,000 credits per month, high priority in the processing queue, and early access to new model features, catering to users who need faster service and enhanced functionalities.
Community-Driven Development:
We believe in the power of an open-source ecosystem where community involvement is crucial. Mochi 1 is released under the Apache 2.0 License, allowing others to modify, enhance, and contribute to its repository. This focus on transparency and collaboration is core to the evolution and utility of our model.
Future Vision
The journey with Mochi 1 is merely the beginning. We are continuously working on innovations that include higher resolution outputs (with Mochi 1 HD anticipated for 720p video), improved motion fidelity, and new functionalities like image-to-video capabilities. Our vision is to create a landscape where any conceivable video can be generated with unprecedented ease, making video creation accessible to all.
Join the Journey
At Genmo, our mission is to harness the possibilities of artificial general intelligence through groundbreaking video generation models. Be part of our exciting journey and discover the limitless options with Mochi 1 to create videos that communicate, resonate, and captivate the audience.
Pros & Cons
Pros
- Mochi 1 offers state-of-the-art video generation with unmatched motion quality.
- Exceptional prompt adherence allows detailed control over video outputs.
- The model is open-source, fostering community collaboration and development.
Cons
- Initial output resolution is limited to 480p, which may not meet all user needs.
- The model struggles with extreme motion and animated content leading to distortions.
Frequently Asked Questions
genmo is free to start, with paid plans from 0 to 30 USD per month.
According to our latest information, this tool does not seem to have a lifetime deal at the moment, unfortunately.
Mochi 1 offers a range of applications across various domains. Users can leverage this video generation model for research and development, product innovation in entertainment or education, creative expression for artists to create unique content, and for robotics to generate synthetic data crucial for training AI models in autonomous systems. The versatility of Mochi 1 enables experimentation in various fields, making it a powerful tool for innovation.
Yes, while Mochi 1 represents a significant advancement in video generation, it does have some limitations. Currently, video output is restricted to 480p resolution. In specific extreme motion scenarios, minor warping and distortions may occur. Additionally, the model is optimized for photorealistic styles and performs less well with animated content. As the community continues to fine-tune the model, expected improvements will address these limitations over time.
To get started with Mochi 1, visit the Genmo playground at genmo.ai/play. Here, you can generate videos using your prompts for free and experiment with the model's features. It is also recommended to download the model weights from Hugging Face and explore the GitHub repository for developer resources if you wish to integrate Mochi 1 into your applications.
Mochi 1 uses a credit system for video generation. For instance, creating a Mochi video costs 100 credits, while replaying a video costs 10 credits. Upon signing up, you receive an initial credit balance and a monthly credit allocation, depending on your subscription plan. With the free plan, you begin with 200 credits and receive 50 additional credits each month. Premium plans offer significantly higher monthly credits without watermarks for commercial usage.
Mochi 1 stands out due to its state-of-the-art motion quality and unparalleled prompt adherence, which ensures generated videos closely align with user instructions. The model uses a novel Asymmetric Diffusion Transformer architecture to accomplish smooth motion and realistic physics simulations. In addition, being open-source under the Apache 2.0 license, Mochi 1 encourages community contributions and adaptations, setting it apart from many proprietary models.
Absolutely! Mochi 1 is designed to be integrated seamlessly into applications. You can access APIs from partnered platforms that facilitate the incorporation of Mochi 1's capabilities into your software. For developers, the model weights are available on Hugging Face, and the source code can be accessed through Genmo's GitHub repository, providing flexibility to build custom solutions.
Genmo has implemented robust safety moderation protocols within the Mochi 1 playground to ensure that all generated videos adhere to ethical guidelines. These measures are crucial for preventing misuse and maintaining a safe creative environment as users experiment with video generation.
Looking ahead, Genmo plans to release Mochi 1 HD, which will support 720p video generation with enhanced fidelity and smoother motion. There are also future initiatives focusing on image-to-video capabilities, improving the controllability and steerability of the models, enhancing user interaction, and addressing some current limitations identified by the community.
