| | from PIL import Image |
| | import os |
| | import sys |
| |
|
| |
|
| | IMAGE_DIR = "." |
| | README_PATH = "README.md" |
| |
|
| | def extract_metadata(image_path): |
| | try: |
| | img = Image.open(image_path) |
| | return img.text |
| | except Exception as e: |
| | print(f"❌ Error reading {image_path}: {e}") |
| |
|
| | |
| | image_files = [f for f in os.listdir(IMAGE_DIR) if f.lower().endswith(".png")] |
| |
|
| | |
| | with open(README_PATH, "w") as readme: |
| | readme.write("# 🖼️ AI Generated Images\n\n") |
| |
|
| | for image_file in image_files: |
| | image_path = os.path.join(IMAGE_DIR, image_file) |
| |
|
| | print(f"Processing {image_file}...") |
| | metadata = extract_metadata(image_path) |
| |
|
| | readme.write(f"## Image: {image_file}\n") |
| | readme.write(f"**Prompt:** {metadata.get('Prompt', 'N/A')}\n\n") |
| | readme.write(f"**Negative Prompt:** {metadata.get('NegativePrompt', 'N/A')}\n\n") |
| | readme.write(f"**Model:** {metadata.get('Model', 'N/A')}\n") |
| | readme.write(f"**Seed:** {metadata.get('Seed', 'N/A')}\n") |
| | readme.write(f"**Date:** {metadata.get('Date', 'N/A')}\n\n") |
| |
|
| | |
| | readme.write(f"[]({image_file})\n\n") |
| | readme.write("---\n\n") |
| |
|
| | print(f"✅ README.md created at {README_PATH}") |
| |
|