# Qwen Image Edit > Endpoint for Qwen's Image Editing model. Has superior text editing capabilities. ## Overview - **Endpoint**: `https://fal.run/fal-ai/qwen-image-edit` - **Model ID**: `fal-ai/qwen-image-edit` - **Category**: image-to-image - **Kind**: inference **Tags**: image-editing, image-to-image, high-quality-text ## Pricing - **Price**: $0.03 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: - **`prompt`** (`string`, _required_): The prompt to generate the image with - Examples: "Change bag to apple macbook" - **`image_size`** (`ImageSize | Enum`, _optional_): The size of the generated image. - One of: ImageSize | Enum - **`num_inference_steps`** (`integer`, _optional_): The number of inference steps to perform. Default value: `30` - Default: `30` - Range: `2` to `50` - **`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: `4` - Default: `4` - Range: `0` 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` - **`enable_safety_checker`** (`boolean`, _optional_): If set to true, the safety checker will be enabled. Default value: `true` - Default: `true` - **`output_format`** (`OutputFormatEnum`, _optional_): The format of the generated image. Default value: `"png"` - Default: `"png"` - Options: `"jpeg"`, `"png"` - **`image_url`** (`string`, _required_): The URL of the image to edit. - Examples: "https://v3.fal.media/files/koala/oei_-iPIYFnhdB8SxojND_qwen-edit-res.png" - **`negative_prompt`** (`string`, _optional_): The negative prompt for the generation Default value: `" "` - Default: `" "` - Examples: "blurry, ugly" - **`acceleration`** (`AccelerationEnum`, _optional_): Acceleration level for image generation. Options: 'none', 'regular'. Higher acceleration increases speed. 'regular' balances speed and quality. Default value: `"regular"` - Default: `"regular"` - Options: `"none"`, `"regular"`, `"high"` - Examples: "regular" **Required Parameters Example**: ```json { "prompt": "Change bag to apple macbook", "image_url": "https://v3.fal.media/files/koala/oei_-iPIYFnhdB8SxojND_qwen-edit-res.png" } ``` **Full Example**: ```json { "prompt": "Change bag to apple macbook", "num_inference_steps": 30, "guidance_scale": 4, "num_images": 1, "enable_safety_checker": true, "output_format": "png", "image_url": "https://v3.fal.media/files/koala/oei_-iPIYFnhdB8SxojND_qwen-edit-res.png", "negative_prompt": "blurry, ugly", "acceleration": "regular" } ``` ### Output Schema The API returns the following output format: - **`images`** (`list`, _required_): The generated image files info. - Array of Image - Examples: [{"height":768,"content_type":"image/jpeg","url":"https://v3.fal.media/files/elephant/P-YCIAg6wtFn1hsF34fzL_qwen-edit.png","width":1024}] - **`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": [ { "height": 768, "content_type": "image/jpeg", "url": "https://v3.fal.media/files/elephant/P-YCIAg6wtFn1hsF34fzL_qwen-edit.png", "width": 1024 } ], "prompt": "" } ``` ## Usage Examples ### cURL ```bash curl --request POST \ --url https://fal.run/fal-ai/qwen-image-edit \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "prompt": "Change bag to apple macbook", "image_url": "https://v3.fal.media/files/koala/oei_-iPIYFnhdB8SxojND_qwen-edit-res.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/qwen-image-edit", arguments={ "prompt": "Change bag to apple macbook", "image_url": "https://v3.fal.media/files/koala/oei_-iPIYFnhdB8SxojND_qwen-edit-res.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/qwen-image-edit", { input: { prompt: "Change bag to apple macbook", image_url: "https://v3.fal.media/files/koala/oei_-iPIYFnhdB8SxojND_qwen-edit-res.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/qwen-image-edit) - [API Documentation](https://fal.ai/models/fal-ai/qwen-image-edit/api) - [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/qwen-image-edit) ### 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)