{
  "last_node_id": 4,
  "last_link_id": 3,
  "nodes": [
    {
      "id": 1,
      "type": "SmartBatchResize",
      "pos": [60, 80],
      "size": [340, 366],
      "flags": {},
      "order": 0,
      "mode": 0,
      "inputs": [],
      "outputs": [
        {
          "name": "images",
          "type": "IMAGE",
          "links": [1],
          "slot_index": 0
        },
        {
          "name": "count",
          "type": "INT",
          "links": [],
          "slot_index": 1
        }
      ],
      "properties": {
        "Node name for S&R": "SmartBatchResize"
      },
      "widgets_values": [
        "",
        1024,
        8,
        "lanczos",
        true,
        "",
        true,
        false,
        1,
        true,
        false,
        "resized",
        true,
        "_",
        32,
        "keep_source",
        "auto",
        95
      ]
    },
    {
      "id": 2,
      "type": "PreviewImage",
      "pos": [460, 80],
      "size": [320, 280],
      "flags": {},
      "order": 1,
      "mode": 0,
      "inputs": [
        {
          "name": "images",
          "type": "IMAGE",
          "link": 1
        }
      ],
      "outputs": [],
      "properties": {
        "Node name for S&R": "PreviewImage"
      },
      "widgets_values": []
    },
    {
      "id": 3,
      "type": "Note",
      "pos": [460, 390],
      "size": [340, 400],
      "flags": {},
      "order": 2,
      "mode": 0,
      "inputs": [],
      "outputs": [],
      "properties": {
        "text": "Smart Batch Resize — how it works\n\nThe node ALWAYS writes resized images to disk — connecting the outputs is optional.\n\nOutputs:\n📷 images → batch tensor, feed into PreviewImage or any IMAGE input\n🔢 count  → number of images actually processed\n\nKey settings:\n📁 Input folder — pick with Browse folder, or paste a path\n📐 Longest side — target size, aspect ratio is always preserved\n🔢 Round to multiple of — snap dimensions (use 8 for SD/Flux)\n🏷️ Filename prefix / Keep original filename / Add counter — build the output filename\n📂 Create resolution subfolder / Custom output subfolder — where resized files land (default: input_folder/resized/)\n⏭️ Skip existing files — don't reprocess files already in the output folder\n\n▶️ Run Batch = same as the regular Run button — it just runs this node. No separate output folder needed: results are saved inside the input folder itself (in the resized/ subfolder).\n\nTip: leave the prefix empty and 'Keep original filename' on to preserve names, or turn it off and use a prefix + counter for a clean renumbered batch."
      },
      "widgets_values": [
        "Smart Batch Resize — how it works\n\nThe node ALWAYS writes resized images to disk — connecting the outputs is optional.\n\nOutputs:\n📷 images → batch tensor, feed into PreviewImage or any IMAGE input\n🔢 count  → number of images actually processed\n\nKey settings:\n📁 Input folder — pick with Browse folder, or paste a path\n📐 Longest side — target size, aspect ratio is always preserved\n🔢 Round to multiple of — snap dimensions (use 8 for SD/Flux)\n🏷️ Filename prefix / Keep original filename / Add counter — build the output filename\n📂 Create resolution subfolder / Custom output subfolder — where resized files land (default: input_folder/resized/)\n⏭️ Skip existing files — don't reprocess files already in the output folder\n\n▶️ Run Batch = same as the regular Run button — it just runs this node. No separate output folder needed: results are saved inside the input folder itself (in the resized/ subfolder).\n\nTip: leave the prefix empty and 'Keep original filename' on to preserve names, or turn it off and use a prefix + counter for a clean renumbered batch."
      ],
      "color": "#2a3a2a",
      "bgcolor": "#1a2a1a"
    }
  ],
  "links": [
    [1, 1, 0, 2, 0, "IMAGE"]
  ],
  "groups": [],
  "config": {},
  "extra": {
    "ds": {
      "scale": 1,
      "offset": [0, 0]
    }
  },
  "version": 0.4
}