Grok Imagine Video

AI video generation with synchronized audio from text and images

Grok Imagine Video

Grok Imagine Video is a multimodal generative video model that produces short video clips with native audio from text descriptions or static images. It supports text-to-video and image-to-video generation with synchronized sound effects and dialogue, enabling developers to animate scenes with motion, camera dynamics, and audio in a single API workflow.

xAI
Commercial use
Text to VideoImage to VideoVideo to Video
A 6-second T2V video starts at $0.30; each extra second is $0.05 (+$0.002 if using an image input or +$0.01/s of video input).
480p · T2V · 6s$0.30
720p · T2V · 6s$0.42
480p · I2V · 6s$0.302
720p · I2V · 6s$0.422
480p · V2V · 6s$0.36
720p · V2V · 6s$0.48

README

Overview

Grok Imagine Video is a generative video model from xAI that creates high-quality, short-form video clips from natural language prompts or from a provided reference image. Designed to integrate Grok’s reasoning and real-time understanding, the model delivers expressive video output with coherent motion, contextual visual detail, and optional audio cues.

The unified workflow enables both text-to-video and image-to-video generation through one endpoint — supplying a reference image automatically shifts the model into an image-guided clip creation mode. Grok Imagine Video is suited to creative storytelling, concept visualisation, and dynamic clip production where prompt adherence and context awareness are important.

How it Works

Grok Imagine Video uses advanced generative mechanisms that combine language understanding, visual conditioning, and temporal modelling to translate prompts and images into cohesive video sequences with stable motion and contextually appropriate visuals.

Prompt Interpretation

The model analyses text prompts to extract subjects, actions, scene descriptors, motion cues, and narrative beats. These elements inform framing, character behaviour, and pacing across the video.

Image-Guided Generation

When a reference image is included, it becomes the starting frame and visual anchor. This enables image-to-video workflows where the model animates or extends the scene while preserving composition, appearance, and style from the input image.

Video & Audio Generation

Grok Imagine Video generates a sequence of frames with temporal consistency, smooth transitions, and natural motion. When audio is enabled, sound elements such as ambience, simple effects, or cues aligned with the visual rhythm may be created alongside the video.

Key Features

  • Text-to-Video and Image-to-Video   One endpoint for both modes. Providing an image automatically enables image-guided video.

  • Context-Aware Interpretation   Leverages Grok’s reasoning and real-time understanding to align outputs with prompt nuance.

  • Cohesive Motion Quality   Emphasis on visual consistency, smooth temporal progression, and stable subject behaviour.

  • Flexible Clip Generation   Supports short-form video outputs with configurable duration and aspect ratios.

  • Optional Audio Output   Generate accompanying audio elements that align with visual pacing and action.

  • Seed Control   Optional seed values allow reproducible or varied outputs across generations.

Technical Specifications

  • Model Name: Grok Imagine Video
  • Model Type: Multimodal video generation
  • Inputs: Text prompt, optional reference image
  • Outputs: MP4 video with optional synchronized audio
  • Clip Duration: Short-form video (configurable)
  • Resolutions: Variable (platform and endpoint limits apply)
  • Aspect Ratios: Multiple formats supported

How to Use

  1. Write a descriptive prompt outlining the scene, actions, desired motion, and optional audio cues.
  2. (Optional) Upload a reference image to enable image-guided video generation.
  3. Choose duration, resolution, and aspect ratio as needed.
  4. Submit the request to Grok Imagine Video.
  5. Retrieve the generated video once processing completes.

Example prompt: A serene forest clearing at dawn, camera tracking forward through tall grass, soft birdsong and rustling leaves as light filters through misty air.

Tips for Better Results

  • Use descriptive action phrases to guide motion sequencing.
  • Include camera cues (e.g., pan, zoom, follow) to shape visual dynamics.
  • Provide a reference image when composition and character consistency matter.
  • Start with shorter durations to refine tone, then expand once satisfied.

Notes & Limitations

  • Optimised for short-form video creation; extended narratives may require multiple generations.
  • Output fidelity depends on prompt clarity and visual complexity.
  • Audio quality varies based on scene description and model settings.