Image-to-Video vs Text-to-Video: Which One You Actually Want
Both modes produce a clip from a prompt, so they look interchangeable in a picker. They are not. One decides what the subject looks like and then moves it; the other takes a subject that already exists and only decides how it moves. Choosing wrong is the most common reason a generation comes back technically fine and completely unlike what you had in mind.
Browse image-to-video templatesThe difference is who chooses the subject
In text-to-video the model invents everything: the face, the room, the wardrobe, the light, and the motion. In image-to-video you have already fixed the face, the room, the wardrobe and the light by supplying a frame, and the only thing the model still decides is what happens next. That is the whole distinction, and every practical consequence follows from it. If you care what the subject looks like, you are in image-to-video territory whether or not you realised it.
Most of the catalogue is image-to-video, and that is not an accident
Across the model families available here, image-to-video endpoints outnumber text-to-video by roughly two to one. The industry converged there because consistency is the hard part of video, not motion. Given a starting frame, a model has an anchor for identity, lighting and framing across every subsequent frame. Given only words, it has to re-derive all of that from scratch, and small drifts compound over the length of a clip.
What your prompt is for changes completely between the two
A text-to-video prompt has to carry appearance, setting, camera and motion at once, and it will be read as a whole. An image-to-video prompt should carry almost nothing but motion and camera — describing the subject again is at best wasted and at worst actively harmful, because you are inviting the model to reinterpret something it can already see. The most common image-to-video mistake is pasting in a text-to-video prompt and wondering why the face changed.
How to tell which one your idea needs
Ask whether you can name the person in the shot. If the answer is "a woman in a red dress" — a description, not an individual — text-to-video is fine and gives you more variety per attempt. If the answer is "this person, from this photo", image-to-video is the only mode that can deliver it, and no amount of prompt detail will make text-to-video hold a specific likeness. A useful middle path is to generate a still first, keep the one you like, and animate that.
Where each one tends to disappoint
Text-to-video disappoints on repeatability: run the same prompt twice and you get two different people. Image-to-video disappoints on ambition — it will not relocate your subject to a different room, change the time of day, or add a second person who is not in the source frame. Asking it to do those things usually produces a clip that ignores the instruction rather than one that fails visibly, which is why it wastes credits quietly.
The third mode: two frames instead of one
Some model families accept a start frame and an end frame, and generate the transition between them. It is worth knowing this exists because it solves a problem neither of the other modes handles well: getting a clip to arrive at a specific final state. With a single start frame you are asking the model to invent where the motion ends up, and it will pick something plausible rather than something you chose. With both ends fixed, the model is interpolating rather than improvising, and the result is far more predictable — at the cost of needing you to produce a second image that is consistent with the first.
What "motion" means to the model, and how to say it
Motion instructions fail most often because they describe a feeling rather than a movement. "Dynamic", "cinematic" and "lively" are not movements; they are adjectives the model has to translate into one, and it will pick the average of everything it has seen. Movements are things with a direction, a subject and a rate: the camera pushes in slowly, the hair lifts in a light breeze, the head turns left and returns. A few model families also expose an explicit amplitude control, which is worth using when it exists — it is the difference between asking for less motion and hoping for it.
Cost is a mode-independent decision
One thing that does not change between the two modes is what drives the bill: duration first, resolution second. It is tempting to assume image-to-video is cheaper because you supplied half the information, and that is not how the pricing works — the model still renders every frame either way. Choosing a mode is a creative decision; choosing a length is a budget decision. Making them separately, in that order, is the habit that keeps iteration affordable.
How to use it
- Decide whether the subject is described or specific. Described means text-to-video; specific means image-to-video.
- For image-to-video, pick the strongest available still — sharp, well-lit, subject clearly separated from the background. Motion cannot rescue a soft source frame.
- Write the prompt for the mode: appearance plus motion for text-to-video, motion and camera only for image-to-video.
- Set duration before you set anything else. It is the parameter that most affects both the result and the cost.
- Generate one short clip as a test, not a long one. Judge motion quality at 5 seconds before paying for more.
- If the identity drifts in image-to-video, shorten the clip rather than rewriting the prompt — drift accumulates over time, not over words.
FAQ
Can I get a specific face out of text-to-video?
Not reliably. Text-to-video re-invents the subject every run. If a particular likeness matters, generate or supply a still and animate it.
Does a longer prompt help image-to-video?
Usually the opposite. Once the frame is supplied, extra description of the subject invites reinterpretation. Keep the prompt to motion, camera and pacing.
Why did my clip start well and drift at the end?
Drift accumulates frame by frame, so it shows up later in the clip. A shorter duration is the direct fix; a different prompt usually is not.
Which mode costs more?
Neither mode is inherently more expensive — duration and resolution drive cost far more than the choice of mode. See the guide on choosing duration and resolution.
Can image-to-video change the background?
Only slightly, through camera movement and lighting shifts. It cannot move your subject to a different location. That needs a new still.
Templates powered by Image To Video Vs Text To Video
