feat: 增加skill
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#!/usr/bin/env python3
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# @skill: image-generation
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"""
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MiniMax Image Generation Script
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Generate images using MiniMax API
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"""
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import argparse
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import os
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import time
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import requests
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from urllib.parse import urlparse
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def parse_args():
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"""Parse command line arguments"""
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parser = argparse.ArgumentParser(
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description="Generate images using MiniMax API",
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formatter_class=argparse.RawDescriptionHelpFormatter
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)
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parser.add_argument(
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"--api-key",
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type=str,
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required=False,
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help="MiniMax API key (can also be set via MINIMAX_API_KEY environment variable)"
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)
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parser.add_argument(
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"--prompt",
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type=str,
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required=True,
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help="Image generation prompt"
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)
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parser.add_argument(
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"--model",
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type=str,
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default="image-01",
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help="Image generation model (default: image-01)"
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)
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parser.add_argument(
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"--aspect-ratio",
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type=str,
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default="1:1",
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help="Image aspect ratio (default: 1:1, options: 16:9, 9:16, etc.)"
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)
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parser.add_argument(
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"--response-format",
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type=str,
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default="url",
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choices=["url", "base64"],
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help="Response format (default: url)"
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)
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parser.add_argument(
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"--n",
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type=int,
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default=1,
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choices=[1, 2, 3],
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help="Number of images to generate (default: 1, max: 3)"
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)
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parser.add_argument(
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"--prompt-optimizer",
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type=lambda x: x.lower() == "true",
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default=False,
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help="Enable prompt optimizer (default: false)"
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)
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# Image-to-image (subject reference) parameters
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parser.add_argument(
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"--subject-reference",
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type=str,
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default=None,
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help="Reference image URL or local file path for image-to-image generation"
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)
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parser.add_argument(
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"--subject-type",
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type=str,
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default="character",
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choices=["character", "product", "logo", "video_subject", "other"],
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help="Subject reference type (default: character)"
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)
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parser.add_argument(
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"--seed",
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type=int,
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default=None,
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help="Random seed for reproducible generation (optional)"
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)
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parser.add_argument(
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"--output-dir",
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type=str,
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default="./output",
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help="Output directory for images (default: ./output)"
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)
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parser.add_argument(
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"--api-base",
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type=str,
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default="https://api.minimaxi.com",
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help="API base URL (default: https://api.minimaxi.com)"
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)
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return parser.parse_args()
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def download_image(url: str, output_path: str) -> bool:
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"""Download image to local file"""
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try:
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response = requests.get(url, timeout=30)
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response.raise_for_status()
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with open(output_path, "wb") as f:
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f.write(response.content)
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print(f" [OK] Saved: {output_path}")
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return True
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except Exception as e:
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print(f" [FAIL] Download failed: {e}")
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return False
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def read_local_image(file_path: str) -> str:
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"""
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Read local image file and return as base64 encoded string.
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Returns the base64 string or None if failed.
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"""
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try:
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with open(file_path, "rb") as f:
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image_data = f.read()
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import base64
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return base64.b64encode(image_data).decode("utf-8")
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except Exception as e:
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print(f" [FAIL] Failed to read local image: {e}")
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return None
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def build_subject_reference(subject_ref: str, subject_type: str) -> dict:
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"""
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Build subject_reference object from URL or local file path.
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Args:
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subject_ref: URL or local file path
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subject_type: Type of subject (character, product, logo, etc.)
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Returns:
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dict with subject_reference structure
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"""
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# Check if it's a URL or local file
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if subject_ref.startswith(("http://", "https://")):
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# It's a URL
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return {
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"type": subject_type,
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"image_file": subject_ref
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}
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else:
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# It's a local file - convert to base64
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print(f" Processing local image: {subject_ref}")
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base64_data = read_local_image(subject_ref)
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if base64_data:
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return {
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"type": subject_type,
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"image_file": f"data:image/jpeg;base64,{base64_data}"
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}
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else:
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return None
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def generate_images(args):
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"""Call MiniMax API to generate images"""
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url = f"{args.api_base}/v1/image_generation"
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headers = {
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"Authorization": f"Bearer {args.api_key}",
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"Content-Type": "application/json"
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}
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payload = {
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"model": args.model,
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"prompt": args.prompt,
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"aspect_ratio": args.aspect_ratio,
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"response_format": args.response_format,
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"n": args.n,
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"prompt_optimizer": args.prompt_optimizer
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}
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# Add seed if provided
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if args.seed is not None:
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payload["seed"] = args.seed
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# Add subject_reference for image-to-image generation
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if args.subject_reference:
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subject_ref = build_subject_reference(args.subject_reference, args.subject_type)
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if subject_ref:
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payload["subject_reference"] = [subject_ref]
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else:
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print("Warning: Failed to process subject reference, continuing without it.")
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print(f"\n{'='*60}")
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print(f"MiniMax Image Generation")
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print(f"{'='*60}")
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print(f"Model: {args.model}")
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print(f"Prompt: {args.prompt}")
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print(f"Aspect Ratio: {args.aspect_ratio}")
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print(f"Number: {args.n}")
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print(f"Prompt Optimizer: {'Enabled' if args.prompt_optimizer else 'Disabled'}")
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if args.seed is not None:
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print(f"Seed: {args.seed}")
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if args.subject_reference:
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print(f"Subject Reference: {args.subject_type} - {args.subject_reference}")
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print(f"{'='*60}\n")
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try:
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print("Generating images...")
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response = requests.post(url, headers=headers, json=payload, timeout=60)
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response.raise_for_status()
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result = response.json()
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if result.get("base_resp", {}).get("status_code") != 0:
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error_msg = result.get("base_resp", {}).get("status_msg", "Unknown error")
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print(f"API Error: {error_msg}")
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return False
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# Create output directory
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os.makedirs(args.output_dir, exist_ok=True)
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# Process returned images
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image_urls = result.get("data", {}).get("image_urls", [])
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metadata = result.get("metadata", {})
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print(f"\nSuccessfully generated {metadata.get('success_count', len(image_urls))} images:")
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timestamp = int(time.time())
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saved_count = 0
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for i, image_url in enumerate(image_urls, 1):
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# Extract file extension from URL
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parsed = urlparse(image_url)
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path = parsed.path
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ext = os.path.splitext(path)[1] if "." in path else ".jpeg"
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filename = f"generated_image_{i}_{timestamp}{ext}"
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output_path = os.path.join(args.output_dir, filename)
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if download_image(image_url, output_path):
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saved_count += 1
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print(f"\n{'='*60}")
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print(f"Done! Successfully saved {saved_count}/{len(image_urls)} images")
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print(f"Output directory: {os.path.abspath(args.output_dir)}")
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print(f"{'='*60}\n")
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return saved_count > 0
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except requests.exceptions.RequestException as e:
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print(f"\nRequest Error: {e}")
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return False
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except Exception as e:
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print(f"\nUnexpected Error: {e}")
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return False
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def main():
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"""Main function"""
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args = parse_args()
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# Get API key from argument or environment variable (optional)
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if not args.api_key:
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args.api_key = os.environ.get("MINIMAX_API_KEY", "")
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# If still no API key, prompt user to enter it
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if not args.api_key:
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print("Error: API key not int ENV, and it is required.")
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else:
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generate_images(args)
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if __name__ == "__main__":
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main()
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