Text to video
Describe the subject, action, camera, setting, and mood, then generate a first motion direction.
How an AI video generator works
Text-to-video models translate a written description into moving images. Image-to-video models begin with a still frame and infer how the subject, camera, and environment might move. The quality of the result depends on the model, the source material, and how clearly the desired motion is described.
Mosaify provides a shared workspace around those models. A prompt, reference image, generated clip, and later variation remain part of the same project, which makes experimentation easier to follow.
Write prompts that describe motion
A useful video prompt separates what is in the shot from what changes over time. Name the subject and setting, then describe the action, camera movement, pace, lighting, and atmosphere. Avoid stacking conflicting movements into one short clip.
When visual identity matters, begin with an image reference. A strong starting frame can communicate composition, color, wardrobe, materials, and subject appearance more precisely than text alone.
- Subject and setting
- Primary action
- Camera movement and framing
- Lighting, pace, and atmosphere
- Duration and aspect ratio
Choose a model for the shot
Different model families can respond differently to camera direction, dialogue, physical motion, stylization, and image references. Mosaify brings Seedance, Veo, Kling, and FLUX into one model library for side-by-side creative work.
A practical workflow is to test a short representative shot first. Once the visual language works, carry the selected result and its references into the rest of the sequence.
