Upload files to "example_workflows"

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2026-01-20 00:39:26 +01:00
parent f03979a767
commit 60362e3514

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"📝 Smart Dataset Extraction Workflow\n\n1. Parallel Video Loader (The Source)\n\n What it does: Scans your video file directly from the hard drive using multi-threading. It does not load the whole video into RAM.\n\n Batching: Uses the batch_index (Primitive Node) to \"page\" through the movie.\n\n Example: If scan_limit is 1440, Batch 0 scans frames 0-1440, Batch 1 scans 1440-2880, etc.\n\n Selection: It calculates sharpness (Laplacian Variance) and only decodes the \"Best N\" frames to send downstream.\n\n2. Fast Absolute Saver (The Destination)\n\n What it does: Saves images instantly to your SSD using parallel workers, bypassing the slow ComfyUI preview window.\n\n Smart Naming: Connect scores_info from the Loader to the Saver! This allows files to be named using the original video frame number (e.g., movie_frame_00450.png) rather than a random batch counter.\n\n Metadata: Embeds the sharpness score into the PNG/WebP metadata for future filtering.\n\n⚠ Usage Tips:\n\n Automation: Set batch_index to \"Increment\" (on the Primitive Node) and enable \"Auto Queue\" in ComfyUI options to process the entire movie automatically.\n\n Monitoring: Watch the Console Window (black command prompt) for progress logs. The saver does not preview images in the UI to prevent lag.\n\n Safety: The saver uses absolute paths and overwrites files with the same name. Use a unique filename_prefix for each new video source."
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