# Veo3.1 Lite Image to Video > Veo 3.1 Lite balances practical utility with professional capabilities, supporting Text-to-Video and Image-to-Video ## Overview - **Endpoint**: `https://fal.run/fal-ai/veo3.1/lite/image-to-video` - **Model ID**: `fal-ai/veo3.1/lite/image-to-video` - **Category**: image-to-video - **Kind**: inference **Tags**: stylized, transform, lipsync ## Pricing For every second of video you generate you will be charged **$0.05** for 720p with audio, **$0.03** for 720p without audio, **$0.08** for 1080p with audio or **$0.05** for 1080p without audio. For example, a **4 second video** at **720p with audio** will cost **$0.20**. 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_): The text prompt describing how the image should be animated - Examples: "The subject turns to face the camera and smiles warmly." - **`aspect_ratio`** (`AspectRatioEnum`, _optional_): The aspect ratio of the generated video. Default value: `"auto"` - Default: `"auto"` - Options: `"auto"`, `"16:9"`, `"9:16"` - **`duration`** (`DurationEnum`, _optional_): The duration of the generated video. Default value: `"8s"` - Default: `"8s"` - Options: `"4s"`, `"6s"`, `"8s"` - **`negative_prompt`** (`string`, _optional_): A negative prompt to guide the video generation. - **`resolution`** (`ResolutionEnum`, _optional_): The resolution of the generated video. Default value: `"720p"` - Default: `"720p"` - Options: `"720p"`, `"1080p"` - **`generate_audio`** (`boolean`, _optional_): Whether to generate audio for the video. Default value: `true` - Default: `true` - **`seed`** (`integer`, _optional_): The seed for the random number generator. - **`auto_fix`** (`boolean`, _optional_): Whether to automatically attempt to fix prompts that fail content policy or other validation checks by rewriting them. - Default: `false` - **`safety_tolerance`** (`SafetyToleranceEnum`, _optional_): The safety tolerance level for content moderation. 1 is the most strict (blocks most content), 6 is the least strict. Default value: `"4"` - Default: `"4"` - Options: `"1"`, `"2"`, `"3"`, `"4"`, `"5"`, `"6"` - **`image_url`** (`string`, _required_): URL of the input image to animate. Should be 720p or higher resolution in 16:9 or 9:16 aspect ratio. - Examples: "https://storage.googleapis.com/falserverless/example_inputs/veo3-i2v-input.png" **Required Parameters Example**: ```json { "prompt": "The subject turns to face the camera and smiles warmly.", "image_url": "https://storage.googleapis.com/falserverless/example_inputs/veo3-i2v-input.png" } ``` **Full Example**: ```json { "prompt": "The subject turns to face the camera and smiles warmly.", "aspect_ratio": "auto", "duration": "8s", "resolution": "720p", "generate_audio": true, "safety_tolerance": "4", "image_url": "https://storage.googleapis.com/falserverless/example_inputs/veo3-i2v-input.png" } ``` ### Output Schema The API returns the following output format: - **`video`** (`File`, _required_): The generated video. **Example Response**: ```json { "video": { "url": "", "content_type": "image/png", "file_name": "z9RV14K95DvU.png", "file_size": 4404019 } } ``` ## Usage Examples ### cURL ```bash curl --request POST \ --url https://fal.run/fal-ai/veo3.1/lite/image-to-video \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "prompt": "The subject turns to face the camera and smiles warmly.", "image_url": "https://storage.googleapis.com/falserverless/example_inputs/veo3-i2v-input.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( "fal-ai/veo3.1/lite/image-to-video", arguments={ "prompt": "The subject turns to face the camera and smiles warmly.", "image_url": "https://storage.googleapis.com/falserverless/example_inputs/veo3-i2v-input.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("fal-ai/veo3.1/lite/image-to-video", { input: { prompt: "The subject turns to face the camera and smiles warmly.", image_url: "https://storage.googleapis.com/falserverless/example_inputs/veo3-i2v-input.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/fal-ai/veo3.1/lite/image-to-video) - [API Documentation](https://fal.ai/models/fal-ai/veo3.1/lite/image-to-video/api) - [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/veo3.1/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`