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        "As always, chance the Output_Path to wherever you save your images, unless you want them saved on your E: Drive if you have one with that letter :p"
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      "title": "Before and After",
      "properties": {},
      "widgets_values": [
        "Hover your mouse over the above boxe to see the before and after images."
      ],
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      "properties": {},
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        "Previes the final image ;p"
      ],
      "color": "#432",
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    },
    {
      "id": 214,
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      "pos": [
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      "flags": {},
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      "title": "Upscale",
      "properties": {},
      "widgets_values": [
        "Basic model upscale, can be bypassed if being used for testing purposes to save disk space."
      ],
      "color": "#432",
      "bgcolor": "#653"
    },
    {
      "id": 209,
      "type": "Note",
      "pos": [
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      "flags": {},
      "order": 7,
      "mode": 0,
      "inputs": [],
      "outputs": [],
      "title": "Load Controlnet Model",
      "properties": {},
      "widgets_values": [
        "You'll need a controlnet model\n\nDiffusion_pytorth_model_promax.safetensors is the one i use but ControlNet's main GitHub page has more models (I think, if not google search for them)\n\nControl_scribble-fp15.safetensors is one to search for and should result in all the other models"
      ],
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      "title": "Image Upload",
      "properties": {},
      "widgets_values": [
        "Load your Image here ---->"
      ],
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      "bgcolor": "#5321b0"
    },
    {
      "id": 212,
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      "flags": {},
      "order": 9,
      "mode": 0,
      "inputs": [],
      "outputs": [],
      "title": "Controlnet Weights",
      "properties": {},
      "widgets_values": [
        "Playing around with these weights will give you different results based on the original image. \n\n0.8 seems to be a good starting point, but play around with them to fine tune the results."
      ],
      "color": "#442983",
      "bgcolor": "#30156f"
    },
    {
      "id": 141,
      "type": "ControlNetApplyAdvanced",
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        },
        {
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          "link": 176
        },
        {
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        {
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        {
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        },
        {
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        "Node name for S&R": "ControlNetApplyAdvanced"
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          "type": "IMAGE",
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        },
        {
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    {
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      "flags": {},
      "order": 16,
      "mode": 0,
      "inputs": [
        {
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          "type": "IMAGE",
          "link": 173
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      ],
      "outputs": [
        {
          "name": "IMAGE",
          "type": "IMAGE",
          "slot_index": 0,
          "links": [
            174,
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          ]
        }
      ],
      "properties": {
        "cnr_id": "comfyui_controlnet_aux",
        "ver": "1.1.0",
        "Node name for S&R": "AIO_Preprocessor"
      },
      "widgets_values": [
        "LineArtPreprocessor",
        1024
      ],
      "color": "#332922",
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    },
    {
      "id": 208,
      "type": "Note",
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      "inputs": [],
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      "title": "Pre-Processors",
      "properties": {},
      "widgets_values": [
        "Use the AIO Aux Preprocessors to choose which processorer you want ControlNet to use.\n\nCanny Edge Preprocessor \n\nScribble Preprocessor \n\nLine Art Preprocessor\n\nare good for starting off with, but play around with each one and have fun seeing what all the different types do, more can be found for download on GitHub and Huggingface.\n\n"
      ],
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      "order": 12,
      "mode": 0,
      "inputs": [],
      "outputs": [],
      "title": "Checkpoints",
      "properties": {},
      "widgets_values": [
        "This is the usual Model / Lora / Prompt section\n\nThe Lora Nodes can be bypassed if not needed."
      ],
      "color": "#322",
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    },
    {
      "id": 201,
      "type": "LoraLoader",
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      "flags": {},
      "order": 19,
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      "inputs": [
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          "type": "MODEL",
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        },
        {
          "name": "clip",
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          "type": "MODEL",
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        },
        {
          "name": "CLIP",
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      "title": "Load LoRA 2",
      "properties": {
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      "widgets_values": [
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        {
          "name": "positive",
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        {
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          "type": "CONDITIONING",
          "link": 163
        },
        {
          "name": "latent_image",
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          "type": "LATENT",
          "slot_index": 0,
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        }
      ],
      "properties": {
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