Scenes from text
Describe action, setting and movement to generate a clip. Organise script scenes within your application’s editing workflow.
Use cases / Image and video
Video generation
Generate AI video from text, images and references.
Turn an idea into a clip, animate an image or guide a scene with references. Add AI video generation to your creative tools, products and content workflows.
With QDivZero, you can deploy compatible text-to-video and image-to-video models and integrate them through an API. Choose the capabilities your application needs and run the model without setting up and maintaining GPU infrastructure yourself.
From an idea to moving content
Generate video from different kinds of input.
Create clips from text or reference material. Combine the inputs and controls supported by your chosen model.
Images brought to life
Animate an image with a compatible image-to-video variant. Check how it preserves important elements while generating movement.
Generation with references
Use images, video or audio when the variant supports them. Retain inputs and parameters to compare alternatives within the same project.
Video with sound
Generate clips with synchronised audio when the model supports it. Evaluate correspondence between picture and sound and the delivery formats.
Build it with QDivZero
From the scene you imagine to the clip you generate.
Select a model compatible with your inputs and clip format. Your application prepares requests, organises jobs and returns videos to the editing workflow.
Your application flow
Idea and references
Describe the scene and add supported reference inputs.
Configuration
Choose supported duration, resolution, and motion parameters.
Generation
The model processes the request on deployed compute.
Video and audio
Receive the clip and sound if the model generates it.
Open-weight / Hugging Face
You can start with…
Compare MiniMax H3, Wan and HunyuanVideo for your required inputs, duration, resolution and audio. Each family has different capabilities: choose a compatible variant and evaluate clips with your product’s scenes. Use the same briefs and references when comparing families. Clip quality depends on tasks and available controls, so evaluate variants with the scenes you need to produce.
Video and audio
MiniMax H3
Generate video with synchronized audio, guided by text, images, video, or audio references.
View model on Hugging FaceText and image to video
Wan2.2
A video model family with variants for generation from text or images.
View model on Hugging FaceVideo generation
HunyuanVideo 1.5
Another option for video generation from text and images.
View model on Hugging FaceVideo generation
Video generation: frequently asked questions
How do I generate AI video from text?
Use a text-to-video model and describe the scene, action, and movement you want. Configure supported parameters and send the request to the model endpoint. QDivZero prepares infrastructure for a compatible deployment to integrate into your application.
Can I turn an image into a video with AI?
Yes, with an image-to-video model or variant. Send the initial image and supported instructions to guide motion. The Wan2.2 family includes variants for different inputs; choose the one matching your workflow.
Which open-weight models can generate videos?
Explore MiniMax H3, Wan2.2, and HunyuanVideo as starting points. Capabilities, inputs, and compute requirements differ. Check the model cards for intended versions and compare results on scenes representative of your application.
Can AI generate video with synchronized audio?
Yes, with models supporting this capability, such as MiniMax H3. Explore video generation with sound and multimodal references. Check the chosen version inputs and parameters, since other video models may return silent video only.
How do I integrate video generation through an API?
Deploy a compatible video model on QDivZero and connect your application to its endpoint. Send text and supported references and handle the result according to the runtime. Your application coordinates requests and use of the generated video.
How much does AI video generation cost and which GPU do I need?
Capacity and cost depend on the model, clip duration, resolution, and parameters. QDivZero prepares compatible deployment compute so you can compare configurations. Use representative clips to estimate workload and review pricing before deployment.
How do I choose between text-to-video and image-to-video?
Text-to-video starts with a description to create a scene. Image-to-video uses an initial image to guide visual content and motion. If you need to preserve a specific reference, compare variants that accept it and evaluate how they maintain it throughout the clip.
Can I generate videos in batches from my application?
Your integration can organize multiple requests and control concurrency according to deployment capacity. Manage queues, retries and clip storage in your application. Duration, resolution and generation settings affect processing time and memory requirements.
Ready to generate video inside your own product?
Turn text, images and references into video with AI models. Choose a compatible deployment in QDivZero, connect your application through an API and bring generated clips into your creative or content workflow.