ComfyUI-Sharp-Selector/example_workflows/comfyui-sharp-example.json

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        {
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        "📌 ComfyUI Sharpness Tools Explained\n\n1. Parallel Video Loader (The \"Loader\")\n\n    Best for: Processing long videos or movie files directly from disk.\n\n    How it works: It opens the video file itself and uses multi-threading (parallel CPU cores) to scan thousands of frames without loading them into memory. It only \"decodes\" the final few sharpest frames.\n\n    Use Case: Extracting dataset images, finding high-quality frames from a raw movie file, or scanning 10,000 frames without crashing your RAM.\n\n    Key Feature: Features a \"Batch Counter\" to automatically page through long videos (e.g., scan minute 0-1, then minute 1-2).\n\n2. Standard Sharpness Duo (The \"Filter\")\n\n    Best for: Processing images already inside your workflow (e.g., after an img2img pass, or a short generated GIF).\n\n    How it works:\n\n        Node A (Analyzer): Assigns a score to every image in the batch.\n\n        Node B (Selector): Picks the best ones based on those scores.\n\n    Use Case: Filtering bad generations, picking the best frame from a small batch of AnimateDiff results, or cleaning up a sequence.\n\n    Limitation: It is single-threaded and requires all images to be loaded in VRAM/RAM first (slow for long videos).\n\n🚀 Which one to use?\n\n    Starting from a Video File? → Use Parallel Loader.\n\n    Starting from a Generation/Latent? → Use Standard Duo."
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        "Batch 1: Skipped 3440 frames. Scanning range 3440 -> 4880."
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