Speed matters. When you're in a creative flow, waiting minutes for each video kills momentum. That's why we set out to make video generation 10x faster.
Today, we're sharing how we did it.
The Problem
Traditional diffusion models need hundreds of steps to generate quality output. Each step runs the entire neural network. More steps means better quality, but also longer wait times.
Our original models took 45 seconds to generate a 5-second video. For rapid iteration, that's too slow.
Our Solution
We attacked the problem from three angles: the model architecture, the inference pipeline, and the infrastructure.
Model Distillation
We developed a technique called progressive distillation. It compresses knowledge from our full 50-step model into a 4-step model. The result maintains 95% of the quality at 10x the speed.
Architectural Changes
Gen-4 Turbo uses efficient attention mechanisms that run 3x faster than standard transformers. We optimized memory access patterns and built parallel processing pipelines.
Infrastructure
We wrote custom CUDA kernels for critical operations. We implemented intelligent batch processing. We added edge caching for faster delivery.
The Results
| Video Length | Before | After |
|---|---|---|
| 10 seconds | 90s | 8s |
| First frame | 15s | 1.5s |
What This Means for You
Faster generation changes how you work. You can test dozens of ideas in minutes. You can iterate in real-time with clients. You can produce more content in less time.
Gen-4 Turbo is available now. Try it and feel the difference.
Written by
Mason Anderson
CEO & Founder
Building the future of AI-powered video generation at Seezoi. Passionate about making creative tools accessible to everyone and pushing the boundaries of what's possible with artificial intelligence.