MandaChain Studios

AI video generation uses deep learning models to create video clips from text descriptions, images, or a combination of both. Instead of filming or animating by hand, you describe what you want — and the AI produces it.

These models can generate anything from realistic product shots and talking characters to cinematic scenes and abstract motion — all without a camera, actors, or editing software.

There are three main ways to generate AI video today:

• Locally — run open-source models on your own GPU using tools like ComfyUI
• Cloud GPU — rent powerful hardware on RunPod and run the same local workflows remotely
• Cloud services — use hosted platforms like Kling, Google Veo, Sora, or InVideo AI

If you have a capable GPU (RTX 3080 or better recommended), you can run AI video models directly on your own machine using ComfyUI — a node-based interface for building AI workflows.

Benefits of running locally:

• Full control over every model and setting
• No per-generation costs — just your electricity
• Privacy — nothing leaves your machine
• Use our pre-built ComfyUI workflows to get started fast

Don't have a powerful GPU? RunPod lets you rent cloud GPUs by the hour and run the exact same ComfyUI workflows you'd run locally.

This is ideal when you need:

• More VRAM than your local card has (e.g. 48GB+ for large models)
• Faster generation on high-end GPUs like A100 or H100
• Batch processing without tying up your own machine

We provide ready-to-deploy RunPod templates with ComfyUI and popular video models pre-installed — see our setup guides for details.

If you want the simplest experience — no setup, no hardware — cloud services let you generate AI video through a web interface or API. Just type a prompt and get a video back.

Popular services:

Step-by-step walkthroughs for creating AI-generated videos — from prompt design to final polish.