gpt_image.py

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,
)

MODEL_NAME = "gpt-image-2"


def generate_image(images, prompt, aspect_ratio="1:1"):
    """
    Trigger an async gpt-image-2 task via the Grsai API.

    :param images: Up to 14 local image paths, HTTP(S) URLs, or base64 data URLs.
    :param prompt: Text prompt describing the desired image content.
    :param aspect_ratio: Image aspect ratio (e.g. "1:1", "16:9") or pixel
                         dimensions (e.g. "1024x1024").
    :return: task_id string
    """
    url = f"{IMAGE_API_BASE_URL}/v1/api/generate"
    reference_images = prepare_reference_images(images)

    payload = {
        "model": MODEL_NAME,
        "prompt": prompt,
        "aspectRatio": aspect_ratio,
        "replyType": "async",
    }

    if reference_images:
        payload["images"] = reference_images

    payload_body = encode_json_request(payload)
    headers = get_auth_headers(api_key=API_KEY)
    print(f"[*] Sending gpt-image-2 async generation request to: {url}")
    response = requests.post(url, data=payload_body, headers=headers)
    response.raise_for_status()
    res_json = response.json()

    task_id = res_json.get("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, aspect_ratio="1:1"):
    """
    Generate an image using up to 14 local paths, URLs, or base64 data URLs.
    """
    task_id = generate_image(local_image_paths, prompt, aspect_ratio=aspect_ratio)
    return poll_and_download_result(
        task_id=task_id,
        output_path=output_path,
        default_prefix="gpt_image_result",
    )