mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-22 05:32:12 -03:00
361 lines
17 KiB
Python
361 lines
17 KiB
Python
import piexif
|
|
import json
|
|
import logging
|
|
from typing import Optional
|
|
from io import BytesIO
|
|
import os
|
|
from PIL import Image
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
class ExifUtils:
|
|
"""Utility functions for working with EXIF data in images"""
|
|
|
|
@staticmethod
|
|
def extract_image_metadata(image_path: str) -> Optional[str]:
|
|
"""Extract metadata from image including UserComment or parameters field
|
|
|
|
Args:
|
|
image_path (str): Path to the image file
|
|
|
|
Returns:
|
|
Optional[str]: Extracted metadata or None if not found
|
|
"""
|
|
try:
|
|
# First try to open the image
|
|
with Image.open(image_path) as img:
|
|
# Method 1: Check for parameters in image info
|
|
if hasattr(img, 'info') and 'parameters' in img.info:
|
|
return img.info['parameters']
|
|
|
|
# Method 2: Check EXIF UserComment field
|
|
if img.format not in ['JPEG', 'TIFF', 'WEBP']:
|
|
# For non-JPEG/TIFF/WEBP images, try to get EXIF through PIL
|
|
exif = img.getexif()
|
|
if exif and piexif.ExifIFD.UserComment in exif:
|
|
user_comment = exif[piexif.ExifIFD.UserComment]
|
|
if isinstance(user_comment, bytes):
|
|
if user_comment.startswith(b'UNICODE\0'):
|
|
return user_comment[8:].decode('utf-16be')
|
|
return user_comment.decode('utf-8', errors='ignore')
|
|
return user_comment
|
|
|
|
# For JPEG/TIFF/WEBP, use piexif
|
|
try:
|
|
exif_dict = piexif.load(image_path)
|
|
|
|
if piexif.ExifIFD.UserComment in exif_dict.get('Exif', {}):
|
|
user_comment = exif_dict['Exif'][piexif.ExifIFD.UserComment]
|
|
if isinstance(user_comment, bytes):
|
|
if user_comment.startswith(b'UNICODE\0'):
|
|
user_comment = user_comment[8:].decode('utf-16be')
|
|
else:
|
|
user_comment = user_comment.decode('utf-8', errors='ignore')
|
|
return user_comment
|
|
except Exception as e:
|
|
logger.debug(f"Error loading EXIF data: {e}")
|
|
|
|
# Method 3: Check PNG metadata for workflow info (for ComfyUI images)
|
|
if img.format == 'PNG':
|
|
# Look for workflow or prompt metadata in PNG chunks
|
|
for key in img.info:
|
|
if key in ['workflow', 'prompt', 'parameters']:
|
|
return img.info[key]
|
|
|
|
return None
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error extracting image metadata: {e}", exc_info=True)
|
|
return None
|
|
|
|
@staticmethod
|
|
def update_image_metadata(image_path: str, metadata: str) -> str:
|
|
"""Update metadata in image's EXIF data or parameters fields
|
|
|
|
Args:
|
|
image_path (str): Path to the image file
|
|
metadata (str): Metadata string to save
|
|
|
|
Returns:
|
|
str: Path to the updated image
|
|
"""
|
|
try:
|
|
# Load the image and check its format
|
|
with Image.open(image_path) as img:
|
|
img_format = img.format
|
|
|
|
# For PNG, try to update parameters directly
|
|
if img_format == 'PNG':
|
|
# We'll save with parameters in the PNG info
|
|
info_dict = {'parameters': metadata}
|
|
img.save(image_path, format='PNG', pnginfo=info_dict)
|
|
return image_path
|
|
|
|
# For WebP format, use PIL's exif parameter directly
|
|
elif img_format == 'WEBP':
|
|
exif_dict = {'Exif': {piexif.ExifIFD.UserComment: b'UNICODE\0' + metadata.encode('utf-16be')}}
|
|
exif_bytes = piexif.dump(exif_dict)
|
|
|
|
# Save with the exif data
|
|
img.save(image_path, format='WEBP', exif=exif_bytes, quality=85)
|
|
return image_path
|
|
|
|
# For other formats, use standard EXIF approach
|
|
else:
|
|
try:
|
|
exif_dict = piexif.load(img.info.get('exif', b''))
|
|
except:
|
|
exif_dict = {'0th':{}, 'Exif':{}, 'GPS':{}, 'Interop':{}, '1st':{}}
|
|
|
|
# If no Exif dictionary exists, create one
|
|
if 'Exif' not in exif_dict:
|
|
exif_dict['Exif'] = {}
|
|
|
|
# Update the UserComment field - use UNICODE format
|
|
unicode_bytes = metadata.encode('utf-16be')
|
|
metadata_bytes = b'UNICODE\0' + unicode_bytes
|
|
|
|
exif_dict['Exif'][piexif.ExifIFD.UserComment] = metadata_bytes
|
|
|
|
# Convert EXIF dict back to bytes
|
|
exif_bytes = piexif.dump(exif_dict)
|
|
|
|
# Save the image with updated EXIF data
|
|
img.save(image_path, exif=exif_bytes)
|
|
|
|
return image_path
|
|
except Exception as e:
|
|
logger.error(f"Error updating metadata in {image_path}: {e}")
|
|
return image_path
|
|
|
|
@staticmethod
|
|
def append_recipe_metadata(image_path, recipe_data) -> str:
|
|
"""Append recipe metadata to an image's EXIF data"""
|
|
try:
|
|
# First, extract existing metadata
|
|
metadata = ExifUtils.extract_image_metadata(image_path)
|
|
|
|
# Check if there's already recipe metadata
|
|
if metadata:
|
|
# Remove any existing recipe metadata
|
|
metadata = ExifUtils.remove_recipe_metadata(metadata)
|
|
|
|
# Prepare simplified loras data
|
|
simplified_loras = []
|
|
for lora in recipe_data.get("loras", []):
|
|
simplified_lora = {
|
|
"file_name": lora.get("file_name", ""),
|
|
"hash": lora.get("hash", "").lower() if lora.get("hash") else "",
|
|
"strength": float(lora.get("strength", 1.0)),
|
|
"modelVersionId": lora.get("modelVersionId", 0),
|
|
"modelName": lora.get("modelName", ""),
|
|
"modelVersionName": lora.get("modelVersionName", ""),
|
|
}
|
|
simplified_loras.append(simplified_lora)
|
|
|
|
# Create recipe metadata JSON
|
|
recipe_metadata = {
|
|
'title': recipe_data.get('title', ''),
|
|
'base_model': recipe_data.get('base_model', ''),
|
|
'loras': simplified_loras,
|
|
'gen_params': recipe_data.get('gen_params', {}),
|
|
'tags': recipe_data.get('tags', [])
|
|
}
|
|
|
|
# Convert to JSON string
|
|
recipe_metadata_json = json.dumps(recipe_metadata)
|
|
|
|
# Create the recipe metadata marker
|
|
recipe_metadata_marker = f"Recipe metadata: {recipe_metadata_json}"
|
|
|
|
# Append to existing metadata or create new one
|
|
new_metadata = f"{metadata} \n {recipe_metadata_marker}" if metadata else recipe_metadata_marker
|
|
|
|
# Write back to the image
|
|
return ExifUtils.update_image_metadata(image_path, new_metadata)
|
|
except Exception as e:
|
|
logger.error(f"Error appending recipe metadata: {e}", exc_info=True)
|
|
return image_path
|
|
|
|
@staticmethod
|
|
def remove_recipe_metadata(user_comment):
|
|
"""Remove recipe metadata from user comment"""
|
|
if not user_comment:
|
|
return ""
|
|
|
|
# Find the recipe metadata marker
|
|
recipe_marker_index = user_comment.find("Recipe metadata: ")
|
|
if recipe_marker_index == -1:
|
|
return user_comment
|
|
|
|
# If recipe metadata is not at the start, remove the preceding ", "
|
|
if recipe_marker_index >= 2 and user_comment[recipe_marker_index-2:recipe_marker_index] == ", ":
|
|
recipe_marker_index -= 2
|
|
|
|
# Remove the recipe metadata part
|
|
# First, find where the metadata ends (next line or end of string)
|
|
next_line_index = user_comment.find("\n", recipe_marker_index)
|
|
if next_line_index == -1:
|
|
# Metadata is at the end of the string
|
|
return user_comment[:recipe_marker_index].rstrip()
|
|
else:
|
|
# Metadata is in the middle of the string
|
|
return user_comment[:recipe_marker_index] + user_comment[next_line_index:]
|
|
|
|
@staticmethod
|
|
def optimize_image(image_data, target_width=250, format='webp', quality=85, preserve_metadata=False):
|
|
"""
|
|
Optimize an image by resizing and converting to WebP format
|
|
|
|
Args:
|
|
image_data: Binary image data or path to image file
|
|
target_width: Width to resize the image to (preserves aspect ratio)
|
|
format: Output format (default: webp)
|
|
quality: Output quality (0-100)
|
|
preserve_metadata: Whether to preserve EXIF metadata
|
|
|
|
Returns:
|
|
Tuple of (optimized_image_data, extension)
|
|
"""
|
|
try:
|
|
# First validate the image data is usable
|
|
img = None
|
|
if isinstance(image_data, str) and os.path.exists(image_data):
|
|
# It's a file path - validate file
|
|
try:
|
|
with Image.open(image_data) as test_img:
|
|
# Verify the image can be fully loaded by accessing its size
|
|
width, height = test_img.size
|
|
# If we got here, the image is valid
|
|
img = Image.open(image_data)
|
|
except (IOError, OSError) as e:
|
|
logger.error(f"Invalid or corrupt image file: {image_data}: {e}")
|
|
raise ValueError(f"Cannot process corrupt image: {e}")
|
|
else:
|
|
# It's binary data - validate data
|
|
try:
|
|
with BytesIO(image_data) as temp_buf:
|
|
test_img = Image.open(temp_buf)
|
|
# Verify the image can be fully loaded
|
|
width, height = test_img.size
|
|
# If successful, reopen for processing
|
|
img = Image.open(BytesIO(image_data))
|
|
except Exception as e:
|
|
logger.error(f"Invalid binary image data: {e}")
|
|
raise ValueError(f"Cannot process corrupt image data: {e}")
|
|
|
|
# Extract metadata if needed and valid
|
|
metadata = None
|
|
if preserve_metadata:
|
|
try:
|
|
if isinstance(image_data, str) and os.path.exists(image_data):
|
|
# For file path, extract directly
|
|
metadata = ExifUtils.extract_image_metadata(image_data)
|
|
else:
|
|
# For binary data, save to temp file first
|
|
import tempfile
|
|
with tempfile.NamedTemporaryFile(suffix='.jpg', delete=False) as temp_file:
|
|
temp_path = temp_file.name
|
|
temp_file.write(image_data)
|
|
try:
|
|
metadata = ExifUtils.extract_image_metadata(temp_path)
|
|
except Exception as e:
|
|
logger.warning(f"Failed to extract metadata from temp file: {e}")
|
|
finally:
|
|
# Clean up temp file
|
|
try:
|
|
os.unlink(temp_path)
|
|
except Exception:
|
|
pass
|
|
except Exception as e:
|
|
logger.warning(f"Failed to extract metadata, continuing without it: {e}")
|
|
# Continue without metadata
|
|
|
|
# Calculate new height to maintain aspect ratio
|
|
width, height = img.size
|
|
new_height = int(height * (target_width / width))
|
|
|
|
# Resize the image with error handling
|
|
try:
|
|
resized_img = img.resize((target_width, new_height), Image.LANCZOS)
|
|
except Exception as e:
|
|
logger.error(f"Failed to resize image: {e}")
|
|
# Return original image if resize fails
|
|
return image_data, '.jpg' if not isinstance(image_data, str) else os.path.splitext(image_data)[1]
|
|
|
|
# Save to BytesIO in the specified format
|
|
output = BytesIO()
|
|
|
|
# Set format and extension
|
|
if format.lower() == 'webp':
|
|
save_format, extension = 'WEBP', '.webp'
|
|
elif format.lower() in ('jpg', 'jpeg'):
|
|
save_format, extension = 'JPEG', '.jpg'
|
|
elif format.lower() == 'png':
|
|
save_format, extension = 'PNG', '.png'
|
|
else:
|
|
save_format, extension = 'WEBP', '.webp'
|
|
|
|
# Save with error handling
|
|
try:
|
|
if save_format == 'PNG':
|
|
resized_img.save(output, format=save_format, optimize=True)
|
|
else:
|
|
resized_img.save(output, format=save_format, quality=quality)
|
|
except Exception as e:
|
|
logger.error(f"Failed to save optimized image: {e}")
|
|
# Return original image if save fails
|
|
return image_data, '.jpg' if not isinstance(image_data, str) else os.path.splitext(image_data)[1]
|
|
|
|
# Get the optimized image data
|
|
optimized_data = output.getvalue()
|
|
|
|
# Handle metadata preservation if requested and available
|
|
if preserve_metadata and metadata:
|
|
try:
|
|
if save_format == 'WEBP':
|
|
# For WebP format, directly save with metadata
|
|
try:
|
|
output_with_metadata = BytesIO()
|
|
exif_dict = {'Exif': {piexif.ExifIFD.UserComment: b'UNICODE\0' + metadata.encode('utf-16be')}}
|
|
exif_bytes = piexif.dump(exif_dict)
|
|
resized_img.save(output_with_metadata, format='WEBP', exif=exif_bytes, quality=quality)
|
|
optimized_data = output_with_metadata.getvalue()
|
|
except Exception as e:
|
|
logger.warning(f"Failed to add metadata to WebP, continuing without it: {e}")
|
|
else:
|
|
# For other formats, use temporary file
|
|
import tempfile
|
|
with tempfile.NamedTemporaryFile(suffix=extension, delete=False) as temp_file:
|
|
temp_path = temp_file.name
|
|
temp_file.write(optimized_data)
|
|
|
|
try:
|
|
# Add metadata
|
|
ExifUtils.update_image_metadata(temp_path, metadata)
|
|
# Read back the file
|
|
with open(temp_path, 'rb') as f:
|
|
optimized_data = f.read()
|
|
except Exception as e:
|
|
logger.warning(f"Failed to add metadata to image, continuing without it: {e}")
|
|
finally:
|
|
# Clean up temp file
|
|
try:
|
|
os.unlink(temp_path)
|
|
except Exception:
|
|
pass
|
|
except Exception as e:
|
|
logger.warning(f"Failed to preserve metadata: {e}, continuing with unmodified output")
|
|
|
|
return optimized_data, extension
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error optimizing image: {e}", exc_info=True)
|
|
# Return original data if optimization completely fails
|
|
if isinstance(image_data, str) and os.path.exists(image_data):
|
|
try:
|
|
with open(image_data, 'rb') as f:
|
|
return f.read(), os.path.splitext(image_data)[1]
|
|
except Exception:
|
|
return image_data, '.jpg' # Last resort fallback
|
|
return image_data, '.jpg' |