How to use Grok Imagine for image and video generation
A straightforward creator walkthrough that helps frame Grok Imagine as a usable short-video workflow rather than only an image-generation feature.
Built for prompt-led short video generation with controllable duration, aspect ratio, and resolution across concept previews, stylized clips, and fast motion tests.
Ready to create videos
Generate in this workspace and the latest result will appear here with the supporting content below.
The Grok AI video generator on this page uses xAI's Grok Imagine Video model, exposed in xAI's official docs as `grok-imagine-video`. xAI positions it around prompt-led video generation with output controls for duration, aspect ratio, and resolution, while the same model family also covers image animation and video editing in the broader product surface. On the current FreeGPT2 page, Grok Imagine Video is focused on short prompt-driven video generation.
Grok Imagine preview 1
xAI presents text-to-video as a core entry point for Grok Imagine Video. It is useful when the video starts from an idea, a scene description, or a motion concept rather than from an existing source clip.
Official xAI docs expose duration as a model parameter so the clip length can be matched to the task. That makes the model practical for short-form experiments instead of a fixed-length one-shot output.
The official docs also expose aspect ratio and resolution, which makes Grok Imagine Video more adaptable across delivery formats such as landscape, portrait, square, and lower- or higher-resolution short clips.
From the official docs, Grok Imagine Video is not limited to one narrow entry point. The same family also covers image-to-video animation and editing-style workflows outside the text-to-video entry alone.
Creator walkthroughs that are useful for understanding how Grok Imagine video is actually used in short-form generation and prompt-driven experimentation.
A straightforward creator walkthrough that helps frame Grok Imagine as a usable short-video workflow rather than only an image-generation feature.
Useful for seeing how creators position Grok Imagine video updates in terms of short-form generation, speed, and social-ready experimentation.
Helpful when you want a practical creator-side view of how Grok Imagine is used for prompt-led video experiments.
A useful walkthrough focused on image-to-video, prompt tips, and short-form creator usage inside Grok Imagine.
Public xAI-linked and creator-side references that are useful for judging Grok Imagine as an active video model, not only a prompt-to-image product.
Describe subject motion, camera behavior, scene atmosphere, and pacing as the main input for the video task. Grok Imagine Video works best when the prompt establishes movement and energy clearly enough for a short first pass.
In the current FreeGPT2 workbench, Grok Imagine text-to-video exposes aspect ratio, duration, and resolution as the main output controls. Set those first so the generated clip already matches the intended delivery shape.
Once the clip returns, judge not only style but whether timing, framing, and movement intensity landed close to the concept. This is the fastest way to tell whether the prompt should be tightened or redirected.
If the first result is not close enough, continue adjusting the prompt and the output spec for another run. Grok Imagine Video is strongest when you use it as an iterative short-video loop rather than expecting one final pass.
From xAI's official video docs, Grok Imagine Video is defined more by prompt-led short-form motion generation and output-spec control than by a large stack of complex switches. It works best when you need a flexible short-video loop rather than a dense production control surface.
Use it to turn a written concept into a short motion result and quickly test whether the scene direction deserves a heavier production path.
It works well for short-form ideas where visual attitude, energy, or stylization matter more than long-form narrative continuity.
Use it to compare how one idea behaves across different frame shapes, short durations, and resolution settings before you decide which version is worth publishing.
Use it when the same idea needs multiple prompt passes to get the motion, framing, and pacing into a more usable state.
Each generation with Grok Imagine consumes credits inside FreeGPT2.
Processing time varies with queue state, selected duration, resolution, and prompt complexity.
Use the active workflow cost shown on the page as the current credit reference for Grok Imagine text-to-video. In the current implementation, longer clips and higher resolution usually increase total time.
In the current FreeGPT2 workbench, Grok Imagine text-to-video exposes prompt input, aspect ratio, duration, and 480p or 720p resolution controls.
Start with free credits on sign-up. Upgrade only when recurring production, private generation, or higher volume starts to matter.
For lighter recurring creation.
Switch fixed steps to match your monthly output.
3,000 credits/month
Up to 12,000 images
Up to 996 videos
Higher monthly capacity
No watermark
Private generation
Faster speed
Image and video workflows
Try the core flow before you upgrade.