# FLUX 2 Pro Edit > Text-to-image generation with FLUX.2 [pro] from Black Forest Labs. Optimized for maximum quality, exceptional photorealism and artistic images. ## Overview - **Endpoint**: `https://fal.run/fal-ai/flux-2-pro/edit` - **Model ID**: `fal-ai/flux-2-pro/edit` - **Category**: image-to-image - **Kind**: inference ## Pricing Your request will cost **$0.03** for the first megapixel of output, plus **$0.015** per extra megapixel of input and output, rounded up to the nearest megapixel. For example, a **1024x1024** image will cost **$0.03**, and a **1920x1080** image will cost **$0.045** (**$0.03** for first megapixel + **$0.015** for the second megapixel). Similarly, a **512x512** output will cost **$0.03** (**$0.03** for**0.25** megapixels, rounded to **1** megapixel) 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: "Place realistic flames emerging from the top of the coffee cup, dancing above the rim" - **`image_size`** (`ImageSize | Enum`, _optional_): The size of the generated image. If `auto`, the size will be determined by the model. Default value: `auto` - Default: `"auto"` - One of: ImageSize | Enum - **`seed`** (`integer`, _optional_): The seed to use for the generation. - **`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"` - **`enable_safety_checker`** (`boolean`, _optional_): Whether to enable the safety checker. Disabling it requires account authorization; unauthorized requests are always checked. Default value: `true` - Default: `true` - **`output_format`** (`OutputFormatEnum`, _optional_): The format of the generated image. Default value: `"jpeg"` - Default: `"jpeg"` - Options: `"jpeg"`, `"png"` - **`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` - **`image_urls`** (`list`, _required_): List of URLs of input images for editing - Array of string - Examples: ["https://storage.googleapis.com/falserverless/example_inputs/flux2_pro_edit_input.png"] **Required Parameters Example**: ```json { "prompt": "Place realistic flames emerging from the top of the coffee cup, dancing above the rim", "image_urls": [ "https://storage.googleapis.com/falserverless/example_inputs/flux2_pro_edit_input.png" ] } ``` **Full Example**: ```json { "prompt": "Place realistic flames emerging from the top of the coffee cup, dancing above the rim", "image_size": "auto", "safety_tolerance": "2", "enable_safety_checker": true, "output_format": "jpeg", "image_urls": [ "https://storage.googleapis.com/falserverless/example_inputs/flux2_pro_edit_input.png" ] } ``` ### Output Schema The API returns the following output format: - **`images`** (`list`, _required_): The generated images. - Array of ImageFile - Examples: [{"url":"https://storage.googleapis.com/falserverless/example_outputs/flux2_pro_edit_output.png"}] - **`seed`** (`integer`, _required_): The seed used for the generation. **Example Response**: ```json { "images": [ { "url": "https://storage.googleapis.com/falserverless/example_outputs/flux2_pro_edit_output.png" } ] } ``` ## Usage Examples ### cURL ```bash curl --request POST \ --url https://fal.run/fal-ai/flux-2-pro/edit \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "prompt": "Place realistic flames emerging from the top of the coffee cup, dancing above the rim", "image_urls": [ "https://storage.googleapis.com/falserverless/example_inputs/flux2_pro_edit_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/flux-2-pro/edit", arguments={ "prompt": "Place realistic flames emerging from the top of the coffee cup, dancing above the rim", "image_urls": ["https://storage.googleapis.com/falserverless/example_inputs/flux2_pro_edit_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/flux-2-pro/edit", { input: { prompt: "Place realistic flames emerging from the top of the coffee cup, dancing above the rim", image_urls: ["https://storage.googleapis.com/falserverless/example_inputs/flux2_pro_edit_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/flux-2-pro/edit) - [API Documentation](https://fal.ai/models/fal-ai/flux-2-pro/edit/api) - [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/flux-2-pro/edit) ### 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`