# FLUX.1 Kontext [pro] > Experimental version of FLUX.1 Kontext [pro] with multi image handling capabilities ## Overview - **Endpoint**: `https://fal.run/fal-ai/flux-pro/kontext/multi` - **Model ID**: `fal-ai/flux-pro/kontext/multi` - **Category**: image-to-image - **Kind**: inference ## Pricing - **Price**: $0.04 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_): The prompt to generate an image from. - Examples: "Put the little duckling on top of the woman's t-shirt." - **`seed`** (`integer`, _optional_): The same seed and the same prompt given to the same version of the model will output the same image every time. - **`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` - **`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` - **`num_images`** (`integer`, _optional_): The number of images to generate. Default value: `1` - Default: `1` - Range: `1` to `4` - **`output_format`** (`OutputFormatEnum`, _optional_): The format of the generated image. Default value: `"jpeg"` - Default: `"jpeg"` - Options: `"jpeg"`, `"png"` - **`safety_tolerance`** (`SafetyToleranceEnum`, _optional_): The safety tolerance level for the generated image. 1 being the most strict and 5 being the most permissive. Default value: `"2"` - Default: `"2"` - Options: `"1"`, `"2"`, `"3"`, `"4"`, `"5"`, `"6"` - **`enhance_prompt`** (`boolean`, _optional_): Whether to enhance the prompt for better results. - Default: `false` - **`aspect_ratio`** (`Enum`, _optional_): The aspect ratio of the generated image. - Options: `"21:9"`, `"16:9"`, `"4:3"`, `"3:2"`, `"1:1"`, `"2:3"`, `"3:4"`, `"9:16"`, `"9:21"` - **`image_urls`** (`list`, _required_): Image prompt for the omni model. - Array of string - Examples: ["https://v3.fal.media/files/penguin/XoW0qavfF-ahg-jX4BMyL_image.webp","https://v3.fal.media/files/tiger/bml6YA7DWJXOigadvxk75_image.webp"] **Required Parameters Example**: ```json { "prompt": "Put the little duckling on top of the woman's t-shirt.", "image_urls": [ "https://v3.fal.media/files/penguin/XoW0qavfF-ahg-jX4BMyL_image.webp", "https://v3.fal.media/files/tiger/bml6YA7DWJXOigadvxk75_image.webp" ] } ``` **Full Example**: ```json { "prompt": "Put the little duckling on top of the woman's t-shirt.", "guidance_scale": 3.5, "num_images": 1, "output_format": "jpeg", "safety_tolerance": "2", "image_urls": [ "https://v3.fal.media/files/penguin/XoW0qavfF-ahg-jX4BMyL_image.webp", "https://v3.fal.media/files/tiger/bml6YA7DWJXOigadvxk75_image.webp" ] } ``` ### Output Schema The API returns the following output format: - **`images`** (`list`, _required_): The generated image files info. - Array of registry__image__fast_sdxl__models__Image - **`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 for generating the image. **Example Response**: ```json { "images": [ { "url": "", "content_type": "image/jpeg" } ], "prompt": "" } ``` ## Usage Examples ### cURL ```bash curl --request POST \ --url https://fal.run/fal-ai/flux-pro/kontext/multi \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "prompt": "Put the little duckling on top of the woman's t-shirt.", "image_urls": [ "https://v3.fal.media/files/penguin/XoW0qavfF-ahg-jX4BMyL_image.webp", "https://v3.fal.media/files/tiger/bml6YA7DWJXOigadvxk75_image.webp" ] }' ``` ### 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/flux-pro/kontext/multi", arguments={ "prompt": "Put the little duckling on top of the woman's t-shirt.", "image_urls": ["https://v3.fal.media/files/penguin/XoW0qavfF-ahg-jX4BMyL_image.webp", "https://v3.fal.media/files/tiger/bml6YA7DWJXOigadvxk75_image.webp"] }, 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/flux-pro/kontext/multi", { input: { prompt: "Put the little duckling on top of the woman's t-shirt.", image_urls: ["https://v3.fal.media/files/penguin/XoW0qavfF-ahg-jX4BMyL_image.webp", "https://v3.fal.media/files/tiger/bml6YA7DWJXOigadvxk75_image.webp"] }, 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/flux-pro/kontext/multi) - [API Documentation](https://fal.ai/models/fal-ai/flux-pro/kontext/multi/api) - [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/flux-pro/kontext/multi) ### 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)