{
  "12": {
    "class_type": "VAELoader",
    "inputs": {
      "vae_name": "sdxl_vae.safetensors"
    }
  },
  "82": {
    "class_type": "CLIPSetLastLayer",
    "inputs": {
      "clip": [
        "422",
        1
      ],
      "stop_at_clip_layer": -2
    }
  },
  "417": {
    "class_type": "Sampler Selector (Image Saver)",
    "inputs": {
      "sampler_name": "euler"
    }
  },
  "7": {
    "class_type": "CLIPTextEncode",
    "inputs": {
      "clip": [
        "560",
        1
      ],
      "text": [
        "411",
        0
      ]
    }
  },
  "8": {
    "class_type": "VAEDecode",
    "inputs": {
      "samples": [
        "3",
        0
      ],
      "vae": [
        "12",
        0
      ]
    }
  },
  "3": {
    "class_type": "KSampler",
    "inputs": {
      "model": [
        "560",
        0
      ],
      "positive": [
        "29",
        0
      ],
      "negative": [
        "7",
        0
      ],
      "latent_image": [
        "568",
        0
      ],
      "seed": [
        "288",
        0
      ],
      "steps": 4,
      "cfg": 1.0,
      "sampler_name": [
        "417",
        0
      ],
      "scheduler": [
        "418",
        0
      ],
      "denoise": 1.0
    }
  },
  "418": {
    "class_type": "Scheduler Selector (Image Saver)",
    "inputs": {
      "scheduler": "sgm_uniform"
    }
  },
  "288": {
    "class_type": "Seed Generator (Image Saver)",
    "inputs": {
      "seed": 113489109,
      "increment": 1
    }
  },
  "213": {
    "class_type": "SaveImage",
    "inputs": {
      "images": [
        "133",
        0
      ],
      "filename_prefix": "excela-shorts-fast/excela-shorts-fast"
    }
  },
  "422": {
    "class_type": "Checkpoint Loader with Name (Image Saver)",
    "inputs": {
      "ckpt_name": "excelaxl_20251018a.safetensors"
    }
  },
  "29": {
    "class_type": "CLIPTextEncode",
    "inputs": {
      "clip": [
        "560",
        1
      ],
      "text": [
        "540",
        0
      ]
    }
  },
  "411": {
    "class_type": "SeargePromptText",
    "inputs": {
      "prompt": "(worst quality, low quality), (koam, 2d, anime, drawing, drawn face, cartoon, manga, cg, 3d, rendered), long face, high prominent cheekbones, asymmetrical eyes, uneven eyes, strabismus, structure, bad hands, missing fingers, fused fingers, text, logo, symbol, watermark, hat, blush, red eyes, extra legs, multiple legs, three legs, four legs, duplicated legs, extra limb, extra limbs, missing leg, malformed legs, deformed legs, disfigured legs, mutated legs, poorly drawn legs, bad legs, fused legs, disconnected legs, broken legs, twisted legs, unnatural leg position, unnatural anatomy, bad anatomy, duplicate body parts, cloned limbs, extra thighs, fused thighs, malformed feet, extra feet, extra arms, multiple arms, three arms, four arms, duplicated arms, extra arm, missing arm, malformed arms, deformed arms, disfigured arms, mutated arms, poorly drawn arms, bad arms, fused arms, disconnected arms, broken arms, twisted arms, unnatural arm position, extra forearms, extra elbows, extra shoulders, fused shoulders, penis, "
    }
  },
  "568": {
    "class_type": "SDXLEmptyLatentSizePicker+",
    "inputs": {
      "resolution": "768x1280 (0.6)",
      "batch_size": 1,
      "width_override": 768,
      "height_override": 1344
    }
  },
  "560": {
    "class_type": "LoraLoader",
    "inputs": {
      "model": [
        "422",
        0
      ],
      "clip": [
        "82",
        0
      ],
      "lora_name": "sdxl_lightning_4step_lora.safetensors",
      "strength_model": 1.0,
      "strength_clip": 1.0
    }
  },
  "540": {
    "class_type": "ImpactWildcardProcessor",
    "inputs": {
      "wildcard_text": "masterpiece, best quality, absurdres, ultra-detailed,\n1girl, 1boy, (korean girl:1.3), (korean man:1.2), east asian features,\n(two-shot:1.2), (close-up:1.2), waist up,\nround face, light freckles, monolid eyes, dark circles under eyes, almond eyes,\ndisheveled short black hair, round blunt bangs,\npale skin, tired complexion, cold fierce glare mixed with shock, gritting teeth, clenched jaw, angry expression,\ngray work uniform top,\n(grabbing wrist:1.3), hand tightly gripping a male wrist, leaning forward cautiously,\nman wearing simple black mask, black shirt, jeans, surprised frozen stance, partially visible face (side view),\ndawn at logistics center interior, conveyor belt, stacks of cardboard boxes,\ncold fluorescent overhead lighting, harsh sterile light, warehouse atmosphere,\ntense standoff moment,\nphotograph, photorealistic, detailed face, asian face",
      "populated_text": "masterpiece, best quality, absurdres, ultra-detailed,\n1girl, 1boy, (korean girl:1.3), (korean man:1.2), east asian features,\n(two-shot:1.2), (close-up:1.2), waist up,\nround face, light freckles, monolid eyes, dark circles under eyes, almond eyes,\ndisheveled short black hair, round blunt bangs,\npale skin, tired complexion, cold fierce glare mixed with shock, gritting teeth, clenched jaw, angry expression,\ngray work uniform top,\n(grabbing wrist:1.3), hand tightly gripping a male wrist, leaning forward cautiously,\nman wearing simple black mask, black shirt, jeans, surprised frozen stance, partially visible face (side view),\ndawn at logistics center interior, conveyor belt, stacks of cardboard boxes,\ncold fluorescent overhead lighting, harsh sterile light, warehouse atmosphere,\ntense standoff moment,\nphotograph, photorealistic, detailed face, asian face",
      "mode": "reproduce",
      "seed": 1030513315025737,
      "Select to add Wildcard": "Select the Wildcard to add to the text"
    }
  },
  "135": {
    "class_type": "UltralyticsDetectorProvider",
    "inputs": {
      "model_name": "bbox/face_yolov8m.pt"
    }
  },
  "136": {
    "class_type": "SAMLoader",
    "inputs": {
      "model_name": "sam_vit_b_01ec64.pth",
      "device_mode": "AUTO"
    }
  },
  "130": {
    "class_type": "ImpactSimpleDetectorSEGS",
    "inputs": {
      "bbox_detector": [
        "135",
        0
      ],
      "image": [
        "8",
        0
      ],
      "sam_model_opt": [
        "136",
        0
      ],
      "segm_detector_opt": [
        "135",
        1
      ],
      "bbox_threshold": 0.2,
      "bbox_dilation": 60,
      "crop_factor": 2,
      "drop_size": 10,
      "sub_threshold": 0.2,
      "sub_dilation": 5,
      "sub_bbox_expansion": 0,
      "sam_mask_hint_threshold": 0.7,
      "post_dilation": 0
    }
  },
  "132": {
    "class_type": "ImpactSEGSOrderedFilter",
    "inputs": {
      "segs": [
        "130",
        0
      ],
      "target": "y1",
      "order": false,
      "take_start": 0,
      "take_count": 5
    }
  },
  "133": {
    "class_type": "DetailerForEach",
    "inputs": {
      "image": [
        "8",
        0
      ],
      "segs": [
        "132",
        0
      ],
      "model": [
        "560",
        0
      ],
      "clip": [
        "560",
        1
      ],
      "vae": [
        "12",
        0
      ],
      "positive": [
        "29",
        0
      ],
      "negative": [
        "7",
        0
      ],
      "seed": [
        "288",
        0
      ],
      "guide_size": 512,
      "guide_size_for": true,
      "max_size": 1024,
      "steps": 4,
      "cfg": 1.0,
      "sampler_name": "euler",
      "scheduler": "sgm_uniform",
      "denoise": 0.5,
      "feather": 5,
      "noise_mask": true,
      "force_inpaint": true,
      "wildcard": "",
      "cycle": 1,
      "inpaint_model": false,
      "noise_mask_feather": 20,
      "tiled_encode": false,
      "tiled_decode": false
    }
  }
}