Something extraordinary is happening in the world of AI video generation. The models that seemed impossible just months ago are now sitting quietly in your creative toolbox, waiting to turn your wildest creative ideas into reality. 

Yes, your toolbox — because VideoGen has integrated four of the most powerful video generation models on the planet: Google Veo 3, MiniMax Hailuo 02, ByteDance Seedance 1.0, and Kling AI.

The beauty of our tool-agnostic approach means you don’t need to become an expert in each model’s strengths and weaknesses. You don’t need to research which handles physics better, excels at human expressions, or nails human voices like no other. You can simply use VideoGen with confidence knowing it only has the best under the hood.

Now, even though you don’t have to be an expert on every model, it’s still pretty cool to learn how each one works and what each one excels at. So let’s go meet some of the models powering VideoGen, shall we?

Here’s what makes Google Veo 3 significant in the current landscape: it generates video and audio together, as one unified creation. While most AI video generators produce silent clips that require separate audio generation or post-processing, Veo 3 builds the entire audiovisual experience from scratch.

When you write a prompt with dialogue in quotation marks, Veo 3 generates the actual voice, matches the lip movements precisely, and adds the kind of natural facial expressions that make conversations feel real. 

But it goes deeper than dialogue. Veo 3 understands that every scene has its own sonic signature. A busy street needs traffic noise, footsteps, and ambient city hum. A forest scene calls for rustling leaves, bird calls, and wind through trees. The model generates these environmental sounds automatically, creating videos that feel complete and immersive rather than artificially constructed.

This is powered by Google DeepMind’s diffusion-transformer architecture — essentially a system that learned to understand how visual and audio elements work together by studying massive amounts of real-world footage. The result is 8–second videos at 4K resolution where every sound feels intentionally placed and every visual element supports the story you’re trying to tell.

Imagine an AI that doesn’t just animate objects moving around, but actually understands how things should move in the real world. That’s what sets Hailuo 02 apart. Built on MiniMax’s NCR (Noise-aware Compute Redistribution) architecture, this model has been specifically trained to master physics simulation in ways that other AI systems struggle with.

Here’s what this means in practice: When you prompt Hailuo 02 to show water flowing, it generates realistic fluid dynamics with proper viscosity, splash patterns, and gravitational pull. When objects collide, they interact with accurate weight and momentum. When a character performs complex movements like gymnastics or acrobatics, the body mechanics look and feel authentic.

This physics mastery extends to cinematography. Hailuo 02 understands camera language in a way that translates directly from film industry terminology. Ask for a “dolly shot” or a “tracking movement” and it knows exactly what you mean — not just the visual result, but the subtle physics of how cameras actually move through space.

The model generates native 1080p videos up to 10 seconds and was trained on a substantially larger dataset and model size than Hailuo 01, which explains why it can handle complex prompts with such precision. This is the model you want when realism matters and when the physical believability of your scene can make or break the story.

Its realism is especially valuable in AI-generated ad campaigns, where visual credibility and smooth product integration can significantly impact audience trust.

Most AI video models generate single shots — one clip, one scene, one moment. Seedance 1.0 thinks bigger — it’s able to create actual narrative sequences, generating multiple connected shots that tell a cohesive story within a single generation.

Imagine you prompt for a character walking into a room. Instead of just one static shot, Seedance 1.0 might generate an establishing wide shot of the exterior, cut to a medium shot of the character approaching the door, then transition to a close-up of their face as they enter. All with consistent lighting, character appearance, and visual style maintained across every cut.

This is possible because of Seedance 1.0’s time-causal VAE and decoupled spatio-temporal Transformer architecture — technical terms that essentially mean the model learned to understand how stories unfold visually over time. It can generate 5-second videos at 1080p resolution in about 41 seconds, but the real magic is in the narrative coherence.

Seedance 1.0 currently ranks #1 on the Artificial Analysis benchmark for text-to-video generation, with particularly strong performance in human representation. Faces stay consistent across different shots and angles. Expressions feel genuinely emotional. Body language communicates character intention in ways that feel natural rather than artificially animated.

What makes this revolutionary is that other AI video models generate single shots that you’d need to manually stitch together if you wanted a narrative sequence. Seedance 1.0 handles this automatically, understanding that the same character needs to look the same, move the same way, and exist in the same visual world across multiple camera angles and time transitions — all within a single generation.

Kling’s signature strength is motion direction. Powered by diffusion-based transformer architecture and a custom 3D variational auto-encoder, wrapped in 3D spatio-temporal-attention blocks, the model treats width, height and time as one continuous space. The payoff is buttery-smooth pans, tilts, rolls and zooms with none of the jitter or character drift that can plague other generators. 

Because Kling creates every frame inside a realistic 3D space, objects move naturally — following believable laws like gravity and inertia — and faces stay consistent even during complex movements.

Speaking of movements, you can also include simple instructions in your prompts to control the camera. According to Kling AI, the model supports six camera movements, including horizontal, vertical, zoom, pan, tilt, and roll, as well as four “master shots” — move left and zoom in, move right and zoom in, move forward and zoom up, and move down and zoom out.

Bottom line: when your brief calls for precise camera moves, rock-solid temporal consistency and physically believable action, VideoGen quietly routes your prompt to Kling — the model that turns choreography notes into cinematic reality without breaking a sweat.

If you haven’t been living under a rock, you’ll be well aware by now that the AI landscape is rapidly evolving (in fact, that’s quite an understatement). Every day etches us closer and closer to a new reality once thought of as science fiction. But on the way there, it can get very daunting very fast trying to keep up with all the updates and new models — it’s a lot!

That’s one of the reasons we implement a tool-agnostic approach to Envato VideoGen. Thanks to this ethos, you don’t need to become an expert in AI video, as you can work confidently knowing you’ll always have access to the best models with your Envato subscription. And as the tools keep evolving, so too will your toolkit.

Keen to learn how to craft the perfect AI video prompt? Check out our complete guide. Feel like making some magic? Try VideoGen right now.