Describe the shot, not the caption
Action, setting, mood — write it the way you'd brief a DP, and get a clip that reads as directed, not generated.
Not a dead-end clip
A text-to-video generation on MITO isn't a one-off output — it drops into the same canvas as your references, scenes, and every other model, so it can become part of a sequence instead of a standalone clip.
What you get to do
Write a shot, not a caption
Describe action, setting, and mood the way you'd brief a director of photography, and get something that reads as directed, not generated.
Refine instead of re-rolling
Adjust a generation and run it again instead of starting over from a blank prompt each time.
Move straight into a scene
Take a generated clip and build it into a full scene instead of treating it as a finished, standalone output.
Text to Video FAQ
Text-to-video AI turns a written description into a video clip using a trained model. On MITO, you write the shot — action, setting, mood — choose a model, and generate directly on the canvas, where the result can become part of a larger sequence.
Describe it the way you'd brief a DP: the action happening, where it's set, and the mood or lighting. Specific, concrete detail reads as directed; a vague, one-line prompt reads as generated.
Generated directly, a clip is a standalone file. Generated on MITO, it lands in the same project as your other scenes and references, so it can be built into a sequence instead of staying a one-off.
Clip length depends on the model you choose — check the specific model's page on MITO for its exact maximum duration.
Yes — a text-to-video generation lives in the same project as your other clips and references, so you can extend it into a multi-shot sequence instead of treating it as a final output.