mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-21 21:22:11 -03:00
feat: enhance example images downloading by adding local file processing before remote download
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@@ -355,6 +355,8 @@ class MiscRoutes:
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# Update current model info
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model_hash = model.get('sha256', '').lower()
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model_name = model.get('model_name', 'Unknown')
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model_file_path = model.get('file_path', '')
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model_file_name = model.get('file_name', '')
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download_progress['current_model'] = f"{model_name} ({model_hash[:8]})"
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# Skip if already processed
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@@ -376,6 +378,86 @@ class MiscRoutes:
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download_progress['completed'] += 1
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continue
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# First check if we have local example images for this model
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local_images_processed = False
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if model_file_path:
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try:
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model_dir_path = os.path.dirname(model_file_path)
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local_images = []
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# Look for files with pattern: filename.example.*.ext
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if model_file_name:
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example_prefix = f"{model_file_name}.example."
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if os.path.exists(model_dir_path):
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for file in os.listdir(model_dir_path):
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file_lower = file.lower()
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if file_lower.startswith(example_prefix.lower()):
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file_ext = os.path.splitext(file_lower)[1]
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is_supported = (file_ext in SUPPORTED_MEDIA_EXTENSIONS['images'] or
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file_ext in SUPPORTED_MEDIA_EXTENSIONS['videos'])
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if is_supported:
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local_images.append(os.path.join(model_dir_path, file))
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# Process local images if found
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if local_images:
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logger.info(f"Found {len(local_images)} local example images for {model_name}")
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for i, local_image_path in enumerate(local_images, 1):
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local_ext = os.path.splitext(local_image_path)[1].lower()
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save_filename = f"image_{i}{local_ext}"
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save_path = os.path.join(model_dir, save_filename)
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# Skip if already exists in output directory
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if os.path.exists(save_path):
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logger.debug(f"File already exists in output: {save_path}")
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continue
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# Handle image processing based on file type and optimize setting
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is_image = local_ext in SUPPORTED_MEDIA_EXTENSIONS['images']
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if is_image and optimize:
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# Optimize the image
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with open(local_image_path, 'rb') as img_file:
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image_data = img_file.read()
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optimized_data, ext = ExifUtils.optimize_image(
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image_data,
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target_width=EXAMPLE_IMAGE_WIDTH,
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format='webp',
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quality=85,
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preserve_metadata=False
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)
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# Update save filename if format changed
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if ext == '.webp':
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save_filename = os.path.splitext(save_filename)[0] + '.webp'
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save_path = os.path.join(model_dir, save_filename)
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# Save the optimized image
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with open(save_path, 'wb') as f:
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f.write(optimized_data)
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else:
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# For videos or unoptimized images, copy directly
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with open(local_image_path, 'rb') as src_file:
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with open(save_path, 'wb') as dst_file:
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dst_file.write(src_file.read())
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# Mark as successfully processed if all local images were processed
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download_progress['processed_models'].add(model_hash)
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local_images_processed = True
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logger.info(f"Successfully processed local examples for {model_name}")
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except Exception as e:
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error_msg = f"Error processing local examples for {model_name}: {str(e)}"
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logger.error(error_msg)
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download_progress['errors'].append(error_msg)
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download_progress['last_error'] = error_msg
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# Continue to remote download if local processing fails
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# If we didn't process local images, download from remote
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if not local_images_processed:
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# Download example images
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for i, image in enumerate(images, 1):
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image_url = image.get('url')
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@@ -441,7 +523,7 @@ class MiscRoutes:
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download_progress['last_error'] = error_msg
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model_success = False # Mark model as failed
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# Add a delay between downloads
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# Add a delay between downloads for remote files only
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await asyncio.sleep(delay)
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except Exception as e:
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error_msg = f"Error downloading file {image_url}: {str(e)}"
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