Video generation has made remarkable progress. The latest models can produce increasingly realistic motion, better consistency, and far more controllable video.
But two challenges remain.
First, there is still a significant quality gap between the best closed models and open-weight models. The leading closed models often deliver substantially better motion, prompt adherence, consistency, and overall visual quality.
Second, the best video models can be slow. Generating a high-quality video can take minutes, making the experience fundamentally different from image generation or other interactive AI applications.
We believe the ecosystem needs to solve both problems: high-quality models and real-time inference.
That’s what MachGen is building.
Making Vidu Q3 Turbo real-time - and ready to build on
MachGen has licensed the Vidu Q3 family of models and optimized the inference stack specifically for high-performance video generation.
Today, for Vidu Q3 Turbo MachGen can generate:
- 720p, 5-second video in ~6 seconds
- 540p, 5-second video in under 3 seconds
This is a significant step toward making high-quality video generation interactive.
But Vidu Q3 Turbo isn’t only useful for inference. The model can also be fine-tuned, making it particularly interesting for companies building specialized video applications on top of a strong foundation model.
For example, video avatar companies can fine-tune Vidu Q3 for their specific requirements, while leveraging the capabilities of the underlying foundation model rather than building a video model from scratch.
This combination - a high-quality foundation model that can be customized, together with an inference stack capable of running it in seconds - opens up a much broader set of possibilities for developers and AI companies.
Why real-time video matters
When video generation becomes fast enough, entirely new experiences become possible.
Creative tools can provide immediate visual feedback. Developers can build interactive video applications. Personalized video can be generated dynamically. Characters and avatars can respond more naturally. And applications that previously required users to wait for every generation can become genuinely interactive.
The transition from minutes to seconds isn’t just a better benchmark. It changes what developers can build.
Our goal at MachGen is to make this possible across the video generation ecosystem - by building an inference stack that allows the best models to run dramatically faster and more efficiently.
Vidu Q3 Turbo is an important step in that direction.
Try Vidu Q3 Turbo on MachGen
We want developers and AI companies to experience this for themselves.
For the next two weeks, MachGen is offering free video generation using the Vidu Q3 family of models.
Try different prompts. Generate videos. Experiment with the model. And if you’re building a specialized video application, explore how a fine-tunable foundation model can become part of your product.
Most importantly, see what video generation feels like when you don’t have to wait minutes for every iteration.
We believe the future of video generation isn’t just better models.
It’s better models that can be customized and run in real time.
And we’re building the infrastructure to make that possible.
Private deployment and custom optimization
Talk to us if you are looking for a private deployment. We can deploy this model in your VPC or dedicated cloud.
Curious how your models perform on MachGen?We’ll run a low-touch PoC in 2-4 weeks, handling the optimization end-to-end while your team stays focused. You’ll get a live endpoint to evaluate the results on your own workloads.