Build Videos from Images
Fast Inference
Image to Video
Convert static images to 14-25 frame videos at 1024x576 resolution.
Motion Control
Adjustable FPS
Set frame rates from 3-30 FPS for smooth SVD video generation.
Low VRAM
Efficient Generation
Run SVD model on 8GB GPUs like GTX 1080 in under 2 minutes.
Examples
See what SVD can create
Copy any prompt below and try it yourself in the playground.
Urban Timelapse
“Aerial view of bustling city skyline at dusk, cars streaming on highways, lights flickering on, smooth camera pan right, cinematic lighting, high detail, 25 frames at 7 FPS”
Ocean Waves
“Serene beach with turquoise waves crashing on golden sand, gentle foam receding, seashells scattered, soft sunlight, subtle forward motion, realistic physics, 14 frames at 6 FPS”
Forest Path
“Winding dirt path through dense green forest, sunlight filtering through leaves, light wind rustling branches, walking forward perspective, detailed foliage, 25 frames at 8 FPS”
Mountain Summit
“Snow-capped mountain peak under clear blue sky, clouds drifting below, gentle wind blowing snow, panoramic zoom out, sharp details, 14 frames at 5 FPS”
For Developers
A few lines of code.
SVD video. One call.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per second, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v6/video/text2video",json={"key": "YOUR_API_KEY","prompt": "A suited astronaut, with the red dust of Mars clinging to their boots, reaches out to shake hands with an alien being, their skin a shimmering blue, under the pink-tinged sky of the fourth planet. In the background, a sleek silver rocket, a beacon of human ingenuity, stands tall, its engines powered down, as the two representatives of different worlds exchange a historic greeting amidst the desolate beauty of the Martian landscape.","init_image": "","output_type": "mp4"})print(response.json())