Go from idea to a shot that cuts
Kling, Veo, Sora, Seedance, Nano Banana, and ElevenLabs — one canvas, one set of references, so a single generation becomes a finished sequence.
The platform, not just the model
Every major model — Kling, Seedance, Veo, Sora, Nano Banana, ElevenLabs — lives inside one canvas with shared references, scenes, and editing. Switch models mid-project and your references travel with you, so a single generation becomes a finished sequence instead of a one-off clip.
What you get to do
Switch models without starting over
Move from Kling to Seedance to Veo mid-project and keep every reference intact — no re-uploading, no redoing the work you already did.
Turn one generation into a sequence
Build scene continuity across generations, so what starts as a single clip becomes a shot list that cuts together.
Pitch with moving frames, not static boards
Bring a project to the table already in motion, so the room reacts to a sequence instead of imagining one from stills.
Made with Video Generation on MITO
Real outputs made on MITO.
Or start from what you already know
Video Generation FAQ
An AI video generator turns a text prompt, an image, or both into a video clip using a trained model. On MITO, you choose the model, describe or drop in your starting point, and generate directly on the canvas — then keep editing from there instead of starting a new file for every attempt.
Yes — sign up and start with 1,000 free credits, no card required, enough to try several models before you commit to one.
Used directly, a model gives you one clip per generation, disconnected from the last. Inside MITO, every generation sits on the same canvas with the same references and scenes, so you can switch models mid-project and keep building toward a finished sequence instead of collecting separate clips.
It depends on what you're making — a camera move on a still, a full text-to-video shot, a stylized transform. Each model page on MITO breaks down what it's best at, and because they all share the same canvas, you can try more than one on the same project without losing your references.
Outputs generated on MITO are yours to use — licensing specifics can vary slightly by underlying model, so check the model's page for any model-specific terms before a commercial release.
MITO's canvas isn't limited to AI-only sequences — bring in your own footage alongside generated clips and edit them together in the same project.