Writing is the cheapest way to make video — until the video has to be longer than a GIF. Type a prompt into most text-to-video tools and you get a beautiful 5–10 second fragment, which is fine for a mood test and useless for an explainer, a lecture visual, or an ad with an actual message. Text to long video closes that gap: one written description in, minutes of continuous footage out. That is the workflow LongCat Video was built around.
The naive route to a long video from text is prompting the same scene repeatedly and gluing the outputs. Anyone who has tried it knows the failure modes:
The prompt was one coherent idea; the output should be too.
LongCat Video pairs text-to-video generation with native continuation, so length is a first-class parameter rather than an editing problem:
Short text-to-video models optimize for the wow-frame; a text-to-long-video workflow optimizes for the watchable minute. The distinction shows up in everything downstream: whether one prompt can cover a narration paragraph, whether your character survives to the end of the scene, whether "make it longer" is a button or a weekend of stitching. If your script is longer than a sentence, the long-video workflow is the one that matches it.
Or start from the LongCat Video homepage.
You generate a base clip from your prompt and then extend it with continuation, reaching a minute or several minutes. The prompt defines the scene once; continuation handles the duration.
Yes. Each continuation segment is conditioned on the frames before it, so the subject, environment, lighting, and camera motion carry forward instead of being re-imagined per clip.
Treat it like a shot description: the subject and appearance, the action, the setting and lighting, and the camera movement. Specific, concrete prompts produce the most extendable base clips.
Yes. When extending, you can steer the continuation with updated prompt guidance, letting the action evolve naturally while the scene and subject remain consistent.
For any continuous scene, yes. Stitching re-generated clips produces visible seams and identity drift. Continuation extends one real sequence, so the result plays as a single coherent take.
One directorial prompt becomes a long, coherent 720p take — no clip stitching, no seam hiding, no prompt roulette.