Grok Imagine Video: 5 Video Prompt Tests checks a simple question: how much control do short text-to-video and image-to-video prompts give over a single visible action, a camera move, and a sound cue? The five clips below are the original Wiro-hosted outputs from the test. They are not stock footage or polished edits. That matters, because a short generation can look convincing in one frame while losing the requested motion, geometry, or legibility once it plays.
What Grok Imagine Video accepts
Grok Imagine Video on Wiro generates an MP4 from a text prompt and can use one JPG, JPEG, or PNG as an optional first frame. The model documentation lists 5-, 10-, and 15-second durations; 480p and 720p resolutions; and auto, landscape, portrait, square, and other aspect-ratio choices. With an input image, auto follows that image’s ratio. Without one, auto defaults to 16:9.
The prompt is doing most of the directing here. A useful video prompt names the subject, one main action, the camera behavior, and the visual conditions that must remain stable. Sound can be described too, but it should support the action rather than compete with it. xAI positions Imagine as a video-and-audio generation system, including text-to-video and image-to-video workflows, in its official Grok Imagine API announcement.
Test setup and limits
| Model | xai/grok-imagine-video |
|---|---|
| Clip length used | 5 seconds for all five outputs |
| Resolution used | 720p |
| Aspect ratio | 16:9 for text-to-video; auto for image-to-video |
| Input image | Only Test 5 uses a supplied first frame |
| Observed Wiro cost | $0.50 per completed 5-second, 720p output in this test |
| Run time | The Wiro model documentation does not state an end-to-end runtime for these exact runs, so this post does not assign one. |
Cost above is an observed per-output run cost, not a promise for every duration or resolution. The available Wiro documentation exposes the selectable parameters but does not publish a matching latency figure. That distinction is useful when budgeting: cost can be recorded from a completed run, while queue time and processing time can vary. xAI’s newer Grok Imagine Video 1.5 announcement discusses faster generation for that later model, but those figures are not used to describe this older test set.
Five prompt tests and what the outputs show
Test 1: Product showcase with a single orbit
This is the model to pick for a short product beat when a still-life composition matters more than a story. The prompt names the subject before the move, then constrains the background. Asking for several product interactions, a logo close-up, and a complex transition in five seconds would make the test less diagnostic and the result harder to use.
Test 2: Rain, traffic, and a forward drone glide
The second output asks the model to coordinate rain, reflections, traffic, haze, a moving camera, and ambience. The clip shows why scene prompts should establish a hierarchy: the forward glide is the primary event; the rain and cars provide movement around it. This is a stronger fit for mood-setting B-roll than for a shot that needs exact vehicle paths or repeatable geography.
Use this shape when the brief needs atmosphere quickly. Put the camera instruction in a separate sentence, as it is here, and avoid treating every background element as a precise animated actor. The same approach appears in this cinematic image-to-video comparison, where motion direction matters as much as visual style.
Test 3: Cartoon performance and rhythmic motion
This output moves from camera control to character performance. The cat, piano, paw rhythm, tail, blinking, and smile all create a busier motion problem, but the simple room removes visual noise. It is a useful reminder that stylized animation benefits from a short list of readable gestures. For social loops or an animated reaction shot, a simple background leaves more room for the character to carry the clip.
Test 4: A deliberate text-stability challenge
The fourth clip is intentionally stricter than the others. It combines handheld movement, a walking person, architectural consistency, and two exact text requests. It should be read as a stress test, not proof that generated video can replace a controlled text shot. Exact wording and rigid signage are fragile requirements in a moving scene, so this is the wrong model choice when a brand name, price, address, or legal copy must be frame-perfect. Build that text in post instead.
The test also separates two goals that are often bundled into one prompt: natural camera movement and immutable geometry. For an editorial street insert, the scene can work as an atmospheric shot. For a sign-off asset, capture or composite the text separately. Readers comparing image generation should also see the Grok Imagine Image text-poster tests.
Test 5: Image-to-video motion from a fixed first frame
Input image:
The last output starts with a supplied dog image, then asks for gait, fur movement, rain, splashes, and a low tracking camera. This is the best route when the first frame has already been approved and the job is to add a short, specific movement. Describe what changes, not the entire scene again. The input already owns composition, palette, and subject identity; the prompt should spend its words on motion.
When to choose Grok Imagine Video
Choose this model for compact clips with one readable action: a product orbit, a cinematic approach, a stylized character beat, or motion added to an approved still. Use 5 seconds to test the direction before committing to a longer version. Pick 720p when the output needs a cleaner presentation, and choose 480p when the goal is early motion exploration. Keep the aspect ratio explicit for a destination format; use auto with an input image when preserving its framing matters.
Do not choose a single generated pass for exact signage, tightly choreographed multi-character action, or a shot where every object must remain mechanically fixed. Those are production constraints, not just prompt details. The useful lesson from these five outputs is modest: narrower prompts produce clearer tests, and the clips make it easier to see where motion direction, atmosphere, character action, and text stability are different problems.
Try the model
Run the same prompt structure with xai/grok-imagine-video on Wiro: establish the subject, specify one motion beat, state the camera move, then add only the environmental details that affect the shot.
