gen4_turbo
Last updated
Last updated
This release brings faster, more scalable AI video generation with higher visual quality. This version allows for 10-second video generation. Gen4 Turbo delivers realistic motion, coherent subjects and styles across frames, and high prompt fidelity, supported by strong world modeling.
At the bottom of this page, you'll find that shows how to structure the request. Choose the code snippet in your preferred programming language and copy it into your development environment.
Generating a video using this model involves sequentially calling two endpoints:
The first one is for creating and sending a video generation task to the server (returns a generation ID).
The second one is for requesting the generated video from the server using the generation ID received from the first endpoint.
The code example combines both endpoint calls.
Only image_url
is a required parameter for this model (and we’ve already filled it in for you in the example), but you can include optional parameters if needed to adjust the model’s behavior. Below, you can find the corresponding ("Video Generation"), which lists all available parameters along with notes on how to use them.
If you need a more detailed walkthrough for setting up your development environment and making a request step by step — feel free to use our .
You can generate a video using this API. In the basic setup, you need only an image url and the aspect ratio of the desired result.
Let’s take a beautiful but somewhat barren mountain landscape:
Then ask Gen4 Turbo to populate it with an epic reptilian creature using the following prompt:
"A menacing evil dragon appears in a distance above the tallest mountain, then rushes toward the camera with its jaws open, revealing massive fangs. We see it's coming"
We combine both methods above in one program: first it sends a video generation request to the server, then it checks for results every 10 seconds.
Don’t forget to replace <YOUR_LAPLASAPI_KEY>
with your actual Apilaplas API key from your — in both places in the code!
The following video was generated by running the code example above. Processing time: ~65 sec. You may also check out the .