Text to video and image to video differ most in who decides the opening frame. A text-to-video model interprets a written scene and invents the initial composition. An image-to-video model begins from a picture you selected and concentrates on introducing motion.
Choose the starting point before choosing a model. That decision affects how you write the prompt, what can remain consistent, and which failures you should expect to review.
Use text to video when the shot is still conceptual
Text to video is useful when no approved image exists and the model can explore the scene. A strong prompt describes a single short shot rather than an entire story.
Include:
- the subject and recognizable traits;
- the setting and time or weather when relevant;
- one main action with a clear progression;
- one camera behavior;
- the visual qualities that must remain consistent.
For example: “A ceramic perfume bottle stands on wet black stone at dawn. Fine mist moves behind it while the camera makes a slow controlled push-in. The bottle remains centered and unchanged, with cool reflections and a restrained luxury mood.”
This prompt separates subject action, environment motion, camera motion, and continuity. If the clip feels static, strengthen the action over time. If the frame becomes chaotic, reduce competing movement.
Use image to video when the opening look already matters
Image to video is the better choice for an approved product render, portrait, illustration, campaign frame, or environment concept. The source image already communicates composition and appearance, so the prompt should not waste space redescribing every visible element.
Instead, explain:
- what the subject should do;
- what may move in the environment;
- how the camera should move;
- what must stay recognizable.
A source frame should be clear enough to inspect, with a readable subject and room in the intended direction of movement. Heavy blur, cropped limbs, ambiguous edges, or a crowded background can make stable animation harder.
Some models accept additional images, such as an end frame or another reference, while others use only one starting image. After you select a model, the generator shows every image it requires or supports.
Do not ask one short clip to perform a whole sequence
A common prompt problem is combining several actions that each need their own shot: the subject turns, walks across a room, picks up an object, speaks, and the camera orbits at the same time. Short generated videos are easier to control when one action and one camera instruction define the clip.
If a concept needs several beats, divide it into separate shots. Establishing view, product reveal, detail shot, and closing frame can each have a specific purpose and cleaner motion.
Review different risks in each workflow
For text to video, check whether the subject, scene, and action match the written brief. Watch for invented objects, incomplete actions, unstable identity, or a camera move that loses the focal point.
For image to video, compare the clip with the source frame. Check identity, product shape, background continuity, edges, and whether the motion direction has enough space. If the composition itself is wrong, correct the still image before trying to animate it again.
Compare current controls instead of assuming parity
Duration, aspect ratio, resolution, audio, required images, and credit cost can vary by model. After you select a model, Genify shows its available settings and the estimated credit cost before submission. Processing time also varies with the model, current demand, and the complexity of the request, so it should not be treated as a fixed promise.
Use free daily credits to test a supported workflow, keep the first shot simple, and compare the completed result with a written review checklist. The best starting point is the one that preserves the decisions you have already made while leaving the right decisions open to the model.