# Kling Image > Kling Image V3: Latest kling image model ## Overview - **Endpoint**: `https://fal.run/fal-ai/kling-image/v3/image-to-image` - **Model ID**: `fal-ai/kling-image/v3/image-to-image` - **Category**: image-to-image - **Kind**: inference **Tags**: image-to-image ## Pricing - **Price**: $0.028 per images 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 prompt for image generation. Max 2500 characters. - Examples: "Transform to deep winter, heavy snow covering all surfaces, bare frozen trees, overcast sky, footprints in fresh powder, cold blue color grade" - **`image_url`** (`string`, _required_): Reference image for image-to-image generation. Max file size: 10.0MB, Min width: 300px, Min height: 300px, Min aspect ratio: 0.40, Max aspect ratio: 2.50, Timeout: 20.0s - Examples: "https://v3b.fal.media/files/b/0a8d06b9/3zxm2qoj2xYWSNwEe5Vd9_a74d767fc42e47a0bf657117fbcf8b90.png" - **`elements`** (`list`, _optional_): Optional: Elements (characters/objects) to include in the image for face control. - Array of ElementInput - **`resolution`** (`ResolutionEnum`, _optional_): Image generation resolution. 1K: standard, 2K: high-res. Default value: `"1K"` - Default: `"1K"` - Options: `"1K"`, `"2K"` - **`num_images`** (`integer`, _optional_): Number of images to generate (1-9). Default value: `1` - Default: `1` - Range: `1` to `9` - **`aspect_ratio`** (`AspectRatioEnum`, _optional_): Aspect ratio of generated images. Default value: `"16:9"` - Default: `"16:9"` - Options: `"16:9"`, `"9:16"`, `"1:1"`, `"4:3"`, `"3:4"`, `"3:2"`, `"2:3"`, `"21:9"` - **`output_format`** (`OutputFormatEnum`, _optional_): The format of the generated image. Default value: `"png"` - Default: `"png"` - Options: `"jpeg"`, `"png"`, `"webp"` - **`sync_mode`** (`boolean`, _optional_): If `True`, the media will be returned as a data URI. - Default: `false` **Required Parameters Example**: ```json { "prompt": "Transform to deep winter, heavy snow covering all surfaces, bare frozen trees, overcast sky, footprints in fresh powder, cold blue color grade", "image_url": "https://v3b.fal.media/files/b/0a8d06b9/3zxm2qoj2xYWSNwEe5Vd9_a74d767fc42e47a0bf657117fbcf8b90.png" } ``` **Full Example**: ```json { "prompt": "Transform to deep winter, heavy snow covering all surfaces, bare frozen trees, overcast sky, footprints in fresh powder, cold blue color grade", "image_url": "https://v3b.fal.media/files/b/0a8d06b9/3zxm2qoj2xYWSNwEe5Vd9_a74d767fc42e47a0bf657117fbcf8b90.png", "elements": [ {} ], "resolution": "1K", "num_images": 1, "aspect_ratio": "16:9", "output_format": "png" } ``` ### Output Schema The API returns the following output format: - **`images`** (`list`, _required_): Generated images - Array of Image - Examples: [{"file_size":2085483,"url":"https://v3b.fal.media/files/b/0a8d06c0/PJqs6iVST-NaBlt8uMwVJ_49222c3290cd4cefb3baacac2cb004ce.png","content_type":"image/png","file_name":"49222c3290cd4cefb3baacac2cb004ce.png"}] **Example Response**: ```json { "images": [ { "file_size": 2085483, "url": "https://v3b.fal.media/files/b/0a8d06c0/PJqs6iVST-NaBlt8uMwVJ_49222c3290cd4cefb3baacac2cb004ce.png", "content_type": "image/png", "file_name": "49222c3290cd4cefb3baacac2cb004ce.png" } ] } ``` ## Usage Examples ### cURL ```bash curl --request POST \ --url https://fal.run/fal-ai/kling-image/v3/image-to-image \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "prompt": "Transform to deep winter, heavy snow covering all surfaces, bare frozen trees, overcast sky, footprints in fresh powder, cold blue color grade", "image_url": "https://v3b.fal.media/files/b/0a8d06b9/3zxm2qoj2xYWSNwEe5Vd9_a74d767fc42e47a0bf657117fbcf8b90.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/kling-image/v3/image-to-image", arguments={ "prompt": "Transform to deep winter, heavy snow covering all surfaces, bare frozen trees, overcast sky, footprints in fresh powder, cold blue color grade", "image_url": "https://v3b.fal.media/files/b/0a8d06b9/3zxm2qoj2xYWSNwEe5Vd9_a74d767fc42e47a0bf657117fbcf8b90.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/kling-image/v3/image-to-image", { input: { prompt: "Transform to deep winter, heavy snow covering all surfaces, bare frozen trees, overcast sky, footprints in fresh powder, cold blue color grade", image_url: "https://v3b.fal.media/files/b/0a8d06b9/3zxm2qoj2xYWSNwEe5Vd9_a74d767fc42e47a0bf657117fbcf8b90.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/kling-image/v3/image-to-image) - [API Documentation](https://fal.ai/models/fal-ai/kling-image/v3/image-to-image/api) - [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/kling-image/v3/image-to-image) ### fal.ai Platform - [Platform Documentation](https://docs.fal.ai) - [Python Client](https://docs.fal.ai/clients/python) - [JavaScript Client](https://docs.fal.ai/clients/javascript)