import os import requests from image_api_utils import ( IMAGE_API_BASE_URL, API_KEY, encode_json_request, get_auth_headers, poll_and_download_result, prepare_reference_images, ) GPT_IMAGE_API_BASE_URL = ( os.getenv("IMAGE_API_BASE_URL") or os.getenv("GPT_IMAGE_API_BASE_URL") or IMAGE_API_BASE_URL ) MODEL_NAME = "gpt-image-2" def generate_image(images, prompt): """ Trigger a gpt-image-2 task using local paths, URLs, or base64 data URLs. """ url = f"{GPT_IMAGE_API_BASE_URL}/v1/media/generate" reference_images = prepare_reference_images(images) payload = { "model": MODEL_NAME, "params": { "aspect_ratio": "1:1", "images": reference_images, "n": 1, "quality": "high", "resolution": "1K", "response_format": "url", "size": "1024x1024", }, "prompt": prompt, } payload_body = encode_json_request(payload) headers = get_auth_headers(api_key=API_KEY) print(f"[*] Sending image generation request to: {url}") response = requests.post(url, data=payload_body, headers=headers) response.raise_for_status() res_json = response.json() # Try parsing task_id from root or nested "data" dictionary task_id = res_json.get("task_id") if not task_id and "data" in res_json and isinstance(res_json["data"], dict): task_id = res_json["data"].get("task_id") if not task_id: raise ValueError(f"Failed to obtain task_id from response: {res_json}") print(f"[+] Task created successfully. Task ID: {task_id}") return task_id def generate_img2img(local_image_paths, prompt, output_path=None): """ Generate an image using up to 14 local paths, URLs, or base64 data URLs. """ task_id = generate_image(local_image_paths, prompt) return poll_and_download_result( task_id=task_id, output_path=output_path, default_prefix="result", api_base_url=GPT_IMAGE_API_BASE_URL, api_key=API_KEY, )