# openai/gpt-image-2/edit > OpenAI's premier instruction-driven editing model enables "semantic-level" pixel reimagining through natural language and multiple reference images; it completely eliminates the need for complex masking, precisely preserving subject features and perfectly rendering multi-language text to help you achieve industrial-grade character outfitting, product composition, and UI redesign. ## Overview - **Endpoint**: `https://api.shortapi.ai/api/v1/job/create` - **Model ID**: `openai/gpt-image-2/edit` - **Category**: image-to-image - **Kind**: inference ## Pricing Per request: $0.06 For more details, please check our pricing page. ## API Information This model can be used via our HTTP API or more conveniently via our client libraries. See the input and output schema below, as well as the usage examples. ### Input Schema The API accepts the following input parameters: - **`prompt`** (`string`, _required_): Text prompt - Examples: "An action shot of a black lab swimming..." - **`images`** (`list`, _required_): The URLs of the images to use for image-to-image generation or image editing. Maximum 16 images ### Output Schema The API returns a JSON response with a `job_id` for tracking the request status. **Create Job Response:** ```json { "code": 0, "data": { "amount": "0.02", "job_id": "" } } ``` **Query Job Result (when status is 2, meaning succeeded):** ```json { "code": 0, "data": { "status": 2, "result": { "images": [{ "url": "https://..." }] } } } ``` ## Use Example To use this model, make an HTTP POST request to the API endpoint, then poll for results using the returned `job_id`. ### Bash (cURL) ```bash # Step 1: Create a job response=$(curl --request POST \ --url https://api.shortapi.ai/api/v1/job/create \ --header "Authorization: Bearer $SHORTAPI_KEY" \ --header "Content-Type: application/json" \ --data '{ "model": "openai/gpt-image-2/edit", "args": { "prompt": "take a photo with Sam Altman in the conference room", "images": ["https://file.shortapi.ai/assets/examples/openai/gpt-image-2/edit-images-1.png"] }, "callback_url": "CALLBACK_URL" }') JOB_ID=$(echo "$response" | grep -o '"job_id": *"[^"]*"' | sed 's/"job_id": *//; s/"//g') # Step 2: Poll for results curl --request GET \ --url "https://api.shortapi.ai/api/v1/job/query?id=$JOB_ID" \ --header "Authorization: Bearer $SHORTAPI_KEY" ``` ### JavaScript (Fetch API) ```javascript // Step 1: Create a job const response = await fetch(`https://api.shortapi.ai/api/v1/job/create`, { method: "POST", headers: { "Authorization": `Bearer ${SHORTAPI_KEY}`, "Content-Type": "application/json" }, body: JSON.stringify({ "model": "openai/gpt-image-2/edit", "args": { "prompt": "take a photo with Sam Altman in the conference room", "images": ["https://file.shortapi.ai/assets/examples/openai/gpt-image-2/edit-images-1.png"] }, "callback_url": "CALLBACK_URL" }) }); const data = await response.json(); const JOB_ID = data.job_id; // Step 2: Poll for results const result = await fetch(`https://api.shortapi.ai/api/v1/job/query?id=${JOB_ID}`, { method: "GET", headers: { "Authorization": `Bearer ${SHORTAPI_KEY}` } }); const resultData = await result.json(); console.log(resultData); ``` ### Python (Requests) ```python import requests # Step 1: Create a job url = "https://api.shortapi.ai/api/v1/job/create" payload = { "model": "openai/gpt-image-2/edit", "args": { "prompt": "take a photo with Sam Altman in the conference room", "images": ["https://file.shortapi.ai/assets/examples/openai/gpt-image-2/edit-images-1.png"] }, "callback_url": "CALLBACK_URL" } headers = { "Authorization": f"Bearer {SHORTAPI_KEY}", "Content-Type": "application/json" } response = requests.post(url, headers=headers, json=payload) data = response.json() JOB_ID = data.get("job_id") # Step 2: Poll for results result_url = f"https://api.shortapi.ai/api/v1/job/query?id={JOB_ID}" result = requests.get(result_url, headers={"Authorization": f"Bearer {SHORTAPI_KEY}"}) print(result.json()) ```