# Uno > An AI model that transforms input images into new ones based on text prompts, blending reference visuals with your creative directions. ## Overview - **Endpoint**: `https://fal.run/fal-ai/uno` - **Model ID**: `fal-ai/uno` - **Category**: image-to-image - **Kind**: inference **Tags**: image-to-image ## Pricing - **Price**: $0.05 per megapixels 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: - **`input_image_urls`** (`list`, _required_): URL of images to use while generating the image. - Array of string - Examples: ["https://storage.googleapis.com/falserverless/UNO/figurine.png","https://storage.googleapis.com/falserverless/UNO/crystal_ball.png"] - **`image_size`** (`ImageSize | Enum`, _optional_): The size of the generated image. You can choose between some presets or custom height and width that **must be multiples of 8**. Default value: `square_hd` - Default: `"square_hd"` - One of: ImageSize | Enum - **`prompt`** (`string`, _required_): The prompt to generate an image from. - Examples: "The figurine is in the crystal ball" - **`seed`** (`integer`, _optional_): Random seed for reproducible generation. If set none, a random seed will be used. - **`num_images`** (`integer`, _optional_): The number of images to generate. Default value: `1` - Default: `1` - Range: `1` to `4` - **`num_inference_steps`** (`integer`, _optional_): The number of inference steps to perform. Default value: `28` - Default: `28` - Range: `1` to `50` - **`guidance_scale`** (`float`, _optional_): The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Default value: `3.5` - Default: `3.5` - Range: `1` to `20` - **`output_format`** (`OutputFormatEnum`, _optional_): The format of the generated image. Default value: `"jpeg"` - Default: `"jpeg"` - Options: `"jpeg"`, `"png"` - **`enable_safety_checker`** (`boolean`, _optional_): If set to true, the safety checker will be enabled. Default value: `true` - Default: `true` - **`sync_mode`** (`boolean`, _optional_): If `True`, the media will be returned as a data URI and the output data won't be available in the request history. - Default: `false` **Required Parameters Example**: ```json { "input_image_urls": [ "https://storage.googleapis.com/falserverless/UNO/figurine.png", "https://storage.googleapis.com/falserverless/UNO/crystal_ball.png" ], "prompt": "The figurine is in the crystal ball" } ``` **Full Example**: ```json { "input_image_urls": [ "https://storage.googleapis.com/falserverless/UNO/figurine.png", "https://storage.googleapis.com/falserverless/UNO/crystal_ball.png" ], "image_size": "square_hd", "prompt": "The figurine is in the crystal ball", "num_images": 1, "num_inference_steps": 28, "guidance_scale": 3.5, "output_format": "jpeg", "enable_safety_checker": true } ``` ### Output Schema The API returns the following output format: - **`images`** (`list`, _required_): The URLs of the generated images. - Array of Image - Examples: ["https://storage.googleapis.com/falserverless/UNO/output.jpeg"] - **`timings`** (`Timings`, _required_) - **`seed`** (`integer`, _required_): Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed. - **`has_nsfw_concepts`** (`list`, _required_): Whether the generated images contain NSFW concepts. - Array of boolean - **`prompt`** (`string`, _required_): The prompt used to generate the image. - Examples: "The figurine is in the crystal ball" **Example Response**: ```json { "images": [ "https://storage.googleapis.com/falserverless/UNO/output.jpeg" ], "prompt": "The figurine is in the crystal ball" } ``` ## Usage Examples ### cURL ```bash curl --request POST \ --url https://fal.run/fal-ai/uno \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "input_image_urls": [ "https://storage.googleapis.com/falserverless/UNO/figurine.png", "https://storage.googleapis.com/falserverless/UNO/crystal_ball.png" ], "prompt": "The figurine is in the crystal ball" }' ``` ### 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/uno", arguments={ "input_image_urls": ["https://storage.googleapis.com/falserverless/UNO/figurine.png", "https://storage.googleapis.com/falserverless/UNO/crystal_ball.png"], "prompt": "The figurine is in the crystal ball" }, 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/uno", { input: { input_image_urls: ["https://storage.googleapis.com/falserverless/UNO/figurine.png", "https://storage.googleapis.com/falserverless/UNO/crystal_ball.png"], prompt: "The figurine is in the crystal ball" }, 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/uno) - [API Documentation](https://fal.ai/models/fal-ai/uno/api) - [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/uno) ### 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)