Nano Banana Pro Image Editing

import requests
import base64

# ========== Configuration ==========
API_KEY = "sk-YOUR_API_KEY"
API_URL = "https://api.laozhang.ai/v1beta/models/gemini-3-pro-image-preview:generateContent"
INPUT_IMAGE = "cat.jpg"
PROMPT = "Add a cute wizard hat on this cat's head"
ASPECT_RATIO = "1:1"
IMAGE_SIZE = "2K"  # 1K, 2K, 4K
# ============================

# Read and encode image
with open(INPUT_IMAGE, "rb") as f:
    image_b64 = base64.b64encode(f.read()).decode("utf-8")

headers = {"x-goog-api-key": API_KEY, "Content-Type": "application/json"}

payload = {
    "contents": [{
        "parts": [
            {"text": PROMPT},
            {"inline_data": {"mime_type": "image/jpeg", "data": image_b64}}
        ]
    }],
    "generationConfig": {
        "responseModalities": ["IMAGE"],
        "imageConfig": {
            "aspectRatio": ASPECT_RATIO,
            "imageSize": IMAGE_SIZE
        }
    }
}

response = requests.post(API_URL, headers=headers, json=payload, timeout=180)
result = response.json()

# Save image
output_data = result["candidates"][0]["content"]["parts"][0]["inlineData"]["data"]
with open("output.png", "wb") as f:
    f.write(base64.b64decode(output_data))

print("✅ Image saved: output.png")

import requests
import base64

# ========== Configuration ==========
API_KEY = "sk-YOUR_API_KEY"
API_URL = "https://api.laozhang.ai/v1beta/models/gemini-3-pro-image-preview:generateContent"

INPUT_IMAGE = "output.png"  # Use image from Example 1
PROMPT = "Transform this cat into Van Gogh Starry Night style oil painting"
ASPECT_RATIO = "1:1"
IMAGE_SIZE = "2K"
# ============================

# Read and encode image
with open(INPUT_IMAGE, "rb") as f:
    image_b64 = base64.b64encode(f.read()).decode("utf-8")

headers = {"x-goog-api-key": API_KEY, "Content-Type": "application/json"}

payload = {
    "contents": [{
        "parts": [
            {"text": PROMPT},
            {"inline_data": {"mime_type": "image/png", "data": image_b64}}
        ]
    }],
    "generationConfig": {
        "responseModalities": ["IMAGE"],
        "imageConfig": {
            "aspectRatio": ASPECT_RATIO,
            "imageSize": IMAGE_SIZE
        }
    }
}

response = requests.post(API_URL, headers=headers, json=payload, timeout=180)
result = response.json()

# Save image
output_data = result["candidates"][0]["content"]["parts"][0]["inlineData"]["data"]
with open("output_styled.png", "wb") as f:
    f.write(base64.b64decode(output_data))

print("✅ Image saved: output_styled.png")

import requests
import base64

# ========== Configuration ==========
API_KEY = "sk-YOUR_API_KEY"
API_URL = "https://api.laozhang.ai/v1beta/models/gemini-3-pro-image-preview:generateContent"

# Use the two images from Example 1 and Example 2
IMAGES = ["output.png", "output_styled.png"]
PROMPT = "Combine these two cat images into a single artistic composition"
ASPECT_RATIO = "16:9"
IMAGE_SIZE = "2K"
# ============================

# Build parts: text + multiple images
parts = [{"text": PROMPT}]

for img_path in IMAGES:
    with open(img_path, "rb") as f:
        img_b64 = base64.b64encode(f.read()).decode("utf-8")
    parts.append({"inline_data": {"mime_type": "image/png", "data": img_b64}})

headers = {"x-goog-api-key": API_KEY, "Content-Type": "application/json"}

payload = {
    "contents": [{"parts": parts}],
    "generationConfig": {
        "responseModalities": ["IMAGE"],
        "imageConfig": {
            "aspectRatio": ASPECT_RATIO,
            "imageSize": IMAGE_SIZE
        }
    }
}

response = requests.post(API_URL, headers=headers, json=payload, timeout=180)
result = response.json()

# Save image
output_data = result["candidates"][0]["content"]["parts"][0]["inlineData"]["data"]
with open("output_mixed.png", "wb") as f:
    f.write(base64.b64decode(output_data))

print("✅ Image saved: output_mixed.png")

import requests
import base64

# ========== Configuration ==========
API_KEY = "sk-YOUR_API_KEY"
API_URL = "https://api.laozhang.ai/v1beta/models/gemini-3-pro-image-preview:generateContent"

# Use online image URL (must be accessible from overseas)
IMAGE_URL = "https://example.com/your-image.png"
PROMPT = "Add a beautiful sunset in the background"
ASPECT_RATIO = "16:9"
IMAGE_SIZE = "4K"
# ============================

headers = {"x-goog-api-key": API_KEY, "Content-Type": "application/json"}

# Use fileData.fileUri method - no need to download and encode image
payload = {
    "contents": [{
        "parts": [
            {
                "fileData": {
                    "fileUri": IMAGE_URL,
                    "mimeType": "image/png"
                }
            },
            {"text": PROMPT}
        ],
        "role": "user"
    }],
    "generationConfig": {
        "responseModalities": ["IMAGE"],
        "imageConfig": {
            "aspectRatio": ASPECT_RATIO,
            "imageSize": IMAGE_SIZE
        }
    }
}

response = requests.post(API_URL, headers=headers, json=payload, timeout=180)
result = response.json()

# Save image
output_data = result["candidates"][0]["content"]["parts"][0]["inlineData"]["data"]
with open("output_url.png", "wb") as f:
    f.write(base64.b64decode(output_data))

print("✅ Image saved: output_url.png")

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

"""
Nano Banana Pro Image Editing Tool - Python Version
Upload local image + text description, generate new image, supports custom aspect ratio and resolution
"""

import requests
import base64
import os
import datetime
import mimetypes
from typing import Optional, Tuple, List

class NanaBananaProEditor:
    """Nano Banana Pro Image Editor"""

    SUPPORTED_ASPECT_RATIOS = [
        "21:9", "16:9", "4:3", "3:2", "1:1",
        "9:16", "3:4", "2:3", "5:4", "4:5"
    ]

    SUPPORTED_SIZES = ["1K", "2K", "4K"]

    def __init__(self, api_key: str):
        self.api_key = api_key
        self.api_url = "https://api.laozhang.ai/v1beta/models/gemini-3-pro-image-preview:generateContent"
        self.headers = {
            "Content-Type": "application/json",
            "x-goog-api-key": api_key
        }

    def edit_image(self, image_path: str, prompt: str,
                   aspect_ratio: str = "1:1",
                   image_size: str = "2K",
                   output_dir: str = ".") -> Tuple[bool, str]:
        """
        Edit a single image

        Args:
            image_path: Input image path
            prompt: Edit description
            aspect_ratio: Aspect ratio
            image_size: Resolution (1K, 2K, 4K)
            output_dir: Save directory

        Returns:
            (success, result message)
        """
        print(f"🚀 Starting image edit...")
        print(f"📁 Input image: {image_path}")
        print(f"📝 Edit prompt: {prompt}")
        print(f"📐 Aspect ratio: {aspect_ratio}")
        print(f"🖼️  Resolution: {image_size}")

        if not os.path.exists(image_path):
            return False, f"Image file not found: {image_path}"

        if aspect_ratio not in self.SUPPORTED_ASPECT_RATIOS:
            return False, f"Unsupported aspect ratio {aspect_ratio}"

        if image_size not in self.SUPPORTED_SIZES:
            return False, f"Unsupported resolution {image_size}"

        # Read and encode image
        try:
            with open(image_path, 'rb') as f:
                image_data = f.read()
            image_base64 = base64.b64encode(image_data).decode('utf-8')

            mime_type, _ = mimetypes.guess_type(image_path)
            if not mime_type or not mime_type.startswith('image/'):
                mime_type = 'image/jpeg'
        except Exception as e:
            return False, f"Failed to read image: {str(e)}"

        # Generate output filename
        timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
        output_file = os.path.join(output_dir, f"edited_{timestamp}.png")

        try:
            payload = {
                "contents": [{
                    "parts": [
                        {"text": prompt},
                        {"inline_data": {"mime_type": mime_type, "data": image_base64}}
                    ]
                }],
                "generationConfig": {
                    "responseModalities": ["IMAGE"],
                    "imageConfig": {
                        "aspectRatio": aspect_ratio,
                        "imageSize": image_size
                    }
                }
            }

            print("📡 Sending request to API...")
            response = requests.post(self.api_url, headers=self.headers, json=payload, timeout=180)

            if response.status_code != 200:
                return False, f"API request failed, status code: {response.status_code}"

            result = response.json()
            output_image_data = result["candidates"][0]["content"]["parts"][0]["inlineData"]["data"]

            print("💾 Saving image...")
            decoded_data = base64.b64decode(output_image_data)

            with open(output_file, 'wb') as f:
                f.write(decoded_data)

            file_size = len(decoded_data) / 1024
            print(f"✅ Image saved: {output_file}")
            print(f"📊 File size: {file_size:.2f} KB")

            return True, f"Successfully saved image: {output_file}"

        except Exception as e:
            return False, f"Error: {str(e)}"

    def merge_images(self, image_paths: List[str], prompt: str,
                     aspect_ratio: str = "16:9",
                     image_size: str = "2K",
                     output_dir: str = ".") -> Tuple[bool, str]:
        """
        Merge multiple images

        Args:
            image_paths: List of input image paths
            prompt: Merge description
            aspect_ratio: Aspect ratio
            image_size: Resolution
            output_dir: Save directory

        Returns:
            (success, result message)
        """
        print(f"🚀 Starting to merge {len(image_paths)} images...")

        parts = [{"text": prompt}]

        for img_path in image_paths:
            if not os.path.exists(img_path):
                return False, f"Image file not found: {img_path}"

            with open(img_path, 'rb') as f:
                img_data = f.read()
            img_b64 = base64.b64encode(img_data).decode('utf-8')

            mime_type, _ = mimetypes.guess_type(img_path)
            if not mime_type:
                mime_type = 'image/jpeg'

            parts.append({"inline_data": {"mime_type": mime_type, "data": img_b64}})

        timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
        output_file = os.path.join(output_dir, f"merged_{timestamp}.png")

        try:
            payload = {
                "contents": [{"parts": parts}],
                "generationConfig": {
                    "responseModalities": ["IMAGE"],
                    "imageConfig": {
                        "aspectRatio": aspect_ratio,
                        "imageSize": image_size
                    }
                }
            }

            print("📡 Sending request to API...")
            response = requests.post(self.api_url, headers=self.headers, json=payload, timeout=180)

            if response.status_code != 200:
                return False, f"API request failed, status code: {response.status_code}"

            result = response.json()
            output_image_data = result["candidates"][0]["content"]["parts"][0]["inlineData"]["data"]

            print("💾 Saving image...")
            decoded_data = base64.b64decode(output_image_data)

            with open(output_file, 'wb') as f:
                f.write(decoded_data)

            print(f"✅ Image saved: {output_file}")
            return True, f"Successfully saved image: {output_file}"

        except Exception as e:
            return False, f"Error: {str(e)}"


def main():
    """Main function - Usage examples"""

    API_KEY = "sk-YOUR_API_KEY"

    editor = NanaBananaProEditor(API_KEY)

    # Example 1: Single image edit
    success, message = editor.edit_image(
        image_path="./input.jpg",
        prompt="Add a rainbow in the sky",
        aspect_ratio="16:9",
        image_size="2K"
    )
    print(message)

    # Example 2: Multi-image merge
    success, message = editor.merge_images(
        image_paths=["./cat.jpg", "./dog.jpg"],
        prompt="Combine these two pets into one happy family portrait",
        aspect_ratio="1:1",
        image_size="2K"
    )
    print(message)


if __name__ == "__main__":
    main()