# Grok Imagine Video 1.5 Lite Image to Video > Generate videos from images using xAI's Grok Imagine Video 1.5 Lite model. ## Overview - **Endpoint**: `https://fal.run/xai/grok-imagine-video/v1.5/lite/image-to-video` - **Model ID**: `xai/grok-imagine-video/v1.5/lite/image-to-video` - **Category**: image-to-video - **Kind**: inference **Tags**: image-to-video ## Pricing Priced per second of output video and per input image, by resolution: **480p** at **$0.02**/sec, **720p** at **$0.03**/sec, **1080p** at **$0.14**/sec. Each input image costs **$0.01**. A 5-second clip with one input image costs **$0.11** at 480p, **$0.16** at 720p, or **$0.71** at 1080p. For more details, see [fal.ai pricing](https://fal.ai/pricing). ## API Information This model can be used via our HTTP API or more conveniently via our client libraries. See the input and output schema below, as well as the usage examples. ### Input Schema The API accepts the following input parameters: - **`prompt`** (`string`, _required_): Text description of desired changes or motion in the video. - Examples: "Medieval knight in ornate armor walking through a mystical forest, bioluminescent plants pulsing with light, ancient stone ruins overgrown with glowing vines, over-the-shoulder camera, dark fantasy aesthetic, volumetric fog and Lumen lighting" - **`duration`** (`integer`, _optional_): Video duration in seconds. Default value: `6` - Default: `6` - Range: `1` to `15` - **`resolution`** (`ResolutionEnum`, _optional_): Resolution of the output video. Default value: `"720p"` - Default: `"720p"` - Options: `"480p"`, `"720p"`, `"1080p"` - **`image_url`** (`string`, _required_): URL of the input image for video generation. - Examples: "https://v3b.fal.media/files/b/0a8b90e0/BFLE9VDlZqsryU-UA3BoD_image_004.png" **Required Parameters Example**: ```json { "prompt": "Medieval knight in ornate armor walking through a mystical forest, bioluminescent plants pulsing with light, ancient stone ruins overgrown with glowing vines, over-the-shoulder camera, dark fantasy aesthetic, volumetric fog and Lumen lighting", "image_url": "https://v3b.fal.media/files/b/0a8b90e0/BFLE9VDlZqsryU-UA3BoD_image_004.png" } ``` **Full Example**: ```json { "prompt": "Medieval knight in ornate armor walking through a mystical forest, bioluminescent plants pulsing with light, ancient stone ruins overgrown with glowing vines, over-the-shoulder camera, dark fantasy aesthetic, volumetric fog and Lumen lighting", "duration": 6, "resolution": "720p", "image_url": "https://v3b.fal.media/files/b/0a8b90e0/BFLE9VDlZqsryU-UA3BoD_image_004.png" } ``` ### Output Schema The API returns the following output format: - **`video`** (`VideoFile`, _required_): The generated video. - Examples: {"content_type":"video/mp4","num_frames":145,"duration":6.041667,"file_name":"0Ci1dviuSnEyUZzBUq-_5_nu7MrAAa.mp4","width":1280,"url":"https://v3b.fal.media/files/b/0a8b90e0/0Ci1dviuSnEyUZzBUq-_5_nu7MrAAa.mp4","fps":24,"height":720} **Example Response**: ```json { "video": { "content_type": "video/mp4", "num_frames": 145, "duration": 6.041667, "file_name": "0Ci1dviuSnEyUZzBUq-_5_nu7MrAAa.mp4", "width": 1280, "url": "https://v3b.fal.media/files/b/0a8b90e0/0Ci1dviuSnEyUZzBUq-_5_nu7MrAAa.mp4", "fps": 24, "height": 720 } } ``` ## Usage Examples ### cURL ```bash curl --request POST \ --url https://fal.run/xai/grok-imagine-video/v1.5/lite/image-to-video \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "prompt": "Medieval knight in ornate armor walking through a mystical forest, bioluminescent plants pulsing with light, ancient stone ruins overgrown with glowing vines, over-the-shoulder camera, dark fantasy aesthetic, volumetric fog and Lumen lighting", "image_url": "https://v3b.fal.media/files/b/0a8b90e0/BFLE9VDlZqsryU-UA3BoD_image_004.png" }' ``` ### Python Ensure you have the Python client installed: ```bash pip install fal-client ``` Then use the API client to make requests: ```python import fal_client def on_queue_update(update): if isinstance(update, fal_client.InProgress): for log in update.logs: print(log["message"]) result = fal_client.subscribe( "xai/grok-imagine-video/v1.5/lite/image-to-video", arguments={ "prompt": "Medieval knight in ornate armor walking through a mystical forest, bioluminescent plants pulsing with light, ancient stone ruins overgrown with glowing vines, over-the-shoulder camera, dark fantasy aesthetic, volumetric fog and Lumen lighting", "image_url": "https://v3b.fal.media/files/b/0a8b90e0/BFLE9VDlZqsryU-UA3BoD_image_004.png" }, with_logs=True, on_queue_update=on_queue_update, ) print(result) ``` ### JavaScript Ensure you have the JavaScript client installed: ```bash npm install --save @fal-ai/client ``` Then use the API client to make requests: ```javascript import { fal } from "@fal-ai/client"; const result = await fal.subscribe("xai/grok-imagine-video/v1.5/lite/image-to-video", { input: { prompt: "Medieval knight in ornate armor walking through a mystical forest, bioluminescent plants pulsing with light, ancient stone ruins overgrown with glowing vines, over-the-shoulder camera, dark fantasy aesthetic, volumetric fog and Lumen lighting", image_url: "https://v3b.fal.media/files/b/0a8b90e0/BFLE9VDlZqsryU-UA3BoD_image_004.png" }, logs: true, onQueueUpdate: (update) => { if (update.status === "IN_PROGRESS") { update.logs.map((log) => log.message).forEach(console.log); } }, }); console.log(result.data); console.log(result.requestId); ``` ## Additional Resources ### Documentation - [Model Playground](https://fal.ai/models/xai/grok-imagine-video/v1.5/lite/image-to-video) - [API Documentation](https://fal.ai/models/xai/grok-imagine-video/v1.5/lite/image-to-video/api) - [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=xai/grok-imagine-video/v1.5/lite/image-to-video) ### fal.ai Platform - [Platform Documentation](https://fal.ai/docs/documentation) - [Python Client](https://fal.ai/docs/api-reference/client-libraries/python) - [JavaScript Client](https://fal.ai/docs/api-reference/client-libraries/javascript) ### Other agent-readable surfaces This file covers one model. To find anything else: - [Platform overview](https://fal.ai/llms.txt): Entry points and representative endpoint IDs - [Documentation index](https://fal.ai/docs/llms.txt): Every documentation page - [Full documentation text](https://fal.ai/docs/llms-full.txt): The whole documentation inlined - Any other model: `https://fal.ai/models//llms.txt`