{
  "1": {
    "class_type": "UNETLoader",
    "_comment": "Z-Image Turbo BF16 transformer",
    "inputs": {
      "unet_name": "z_image_turbo_bf16.safetensors",
      "weight_dtype": "default"
    }
  },
  "2": {
    "class_type": "CLIPLoader",
    "_comment": "Qwen3-4B text encoder — type 'lumina2' routes to z_image.te() for QWEN3_4B model",
    "inputs": {
      "clip_name": "qwen_3_4b.safetensors",
      "type": "lumina2",
      "device": "default"
    }
  },
  "3": {
    "class_type": "VAELoader",
    "_comment": "Z-Image VAE",
    "inputs": {
      "vae_name": "ae.safetensors"
    }
  },
  "4": {
    "class_type": "ModelSamplingAuraFlow",
    "_comment": "Apply ZImage flowmatch sigma schedule (shift=3.0 matches ZImage sampling_settings)",
    "inputs": {
      "model": [
        "1",
        0
      ],
      "shift": 3.0
    }
  },
  "5": {
    "class_type": "LoraLoader",
    "_comment": "Chaerin character LoRA (rank-16, trained with Prodigy on ZIB)",
    "inputs": {
      "model": [
        "4",
        0
      ],
      "clip": [
        "2",
        0
      ],
      "lora_name": "whisper_zit_lora_v1.safetensors",
      "strength_model": 1.0,
      "strength_clip": 1.0
    }
  },
  "6": {
    "class_type": "TextEncodeZImageOmni",
    "_comment": "Positive conditioning — full-body. Edit prompt per shot.",
    "inputs": {
      "clip": [
        "5",
        1
      ],
      "prompt": "cinematic art shot, extreme close-up on lips slightly parted, soft key light, widescreen horizontal composition, 22 year old Korean girl with soft feminine features, slim elegant frame, vintage denim jacket over white tee,, peach fuzz catching rim light, beauty mark at lip corner, aegyo sal, overhead softbox with gentle rim light, shot on Contax 645 with 80mm f/2, seoul cafe window at rainy afternoon, Kodak Portra 400 filmic grain, Cinematic widescreen 16:9 landscape orientation.",
      "auto_resize_images": true
    }
  },
  "7": {
    "class_type": "TextEncodeZImageOmni",
    "_comment": "Negative conditioning (empty — ZIT is low-CFG distilled)",
    "inputs": {
      "clip": [
        "5",
        1
      ],
      "prompt": "",
      "auto_resize_images": true
    }
  },
  "8": {
    "class_type": "TextEncodeZImageOmni",
    "_comment": "Face-focused positive for FaceDetailer inpaint pass",
    "inputs": {
      "clip": [
        "5",
        1
      ],
      "prompt": "cinematic art shot, extreme close-up on lips slightly parted, soft key light, widescreen horizontal composition, 22 year old Korean girl with soft feminine features, slim elegant frame, vintage denim jacket over white tee,, peach fuzz catching rim light, beauty mark at lip corner, aegyo sal, overhead softbox with gentle rim light, shot on Contax 645 with 80mm f/2, seoul cafe window at rainy afternoon, Kodak Portra 400 filmic grain, Cinematic widescreen 16:9 landscape orientation.",
      "auto_resize_images": true
    }
  },
  "9": {
    "class_type": "EmptySD3LatentImage",
    "_comment": "832x1216 portrait — ZIT uses Flux/16ch latent format (Lumina2 base)",
    "inputs": {
      "width": 1408,
      "height": 768,
      "batch_size": 1
    }
  },
  "10": {
    "class_type": "KSampler",
    "_comment": "Full-body generation — ZIT: 20 steps, cfg=4.0, euler/beta",
    "inputs": {
      "model": [
        "5",
        0
      ],
      "positive": [
        "6",
        0
      ],
      "negative": [
        "7",
        0
      ],
      "latent_image": [
        "9",
        0
      ],
      "seed": 1998583546,
      "steps": 8,
      "cfg": 1.0,
      "sampler_name": "euler_ancestral",
      "scheduler": "beta",
      "denoise": 1.0
    }
  },
  "11": {
    "class_type": "VAEDecode",
    "_comment": "Decode full-body latent → image",
    "inputs": {
      "samples": [
        "10",
        0
      ],
      "vae": [
        "3",
        0
      ]
    }
  },
  "12": {
    "class_type": "UltralyticsDetectorProvider",
    "_comment": "YOLOv8m face bbox detector — models/ultralytics/bbox/face_yolov8m.pt",
    "inputs": {
      "model_name": "bbox/face_yolov8m.pt"
    }
  },
  "13": {
    "class_type": "SAMLoader",
    "_comment": "SAM ViT-B for precise face mask segmentation",
    "inputs": {
      "model_name": "sam_vit_b_01ec64.pth",
      "device_mode": "AUTO"
    }
  },
  "14": {
    "class_type": "FaceDetailer",
    "_comment": "Crop face → 512px → inpaint with LoRA (face large = LoRA tokens dominate) → composite back. denoise=0.45 preserves identity, guide_size=512 ensures face tokens dominate transformer.",
    "inputs": {
      "image": [
        "11",
        0
      ],
      "model": [
        "5",
        0
      ],
      "clip": [
        "5",
        1
      ],
      "vae": [
        "3",
        0
      ],
      "guide_size": 512.0,
      "guide_size_for": true,
      "max_size": 1024.0,
      "seed": 42,
      "steps": 8,
      "cfg": 1.0,
      "sampler_name": "euler_ancestral",
      "scheduler": "beta",
      "positive": [
        "8",
        0
      ],
      "negative": [
        "7",
        0
      ],
      "denoise": 0.45,
      "feather": 5,
      "noise_mask": true,
      "force_inpaint": true,
      "bbox_threshold": 0.5,
      "bbox_dilation": 10,
      "bbox_crop_factor": 3.0,
      "sam_detection_hint": "center-1",
      "sam_dilation": 0,
      "sam_threshold": 0.93,
      "sam_bbox_expansion": 0,
      "sam_mask_hint_threshold": 0.7,
      "sam_mask_hint_use_negative": "False",
      "drop_size": 10,
      "bbox_detector": [
        "12",
        0
      ],
      "wildcard": "",
      "cycle": 1,
      "sam_model_opt": [
        "13",
        0
      ]
    }
  },
  "15": {
    "class_type": "SaveImage",
    "_comment": "Save final face-detailed output",
    "inputs": {
      "images": [
        "14",
        0
      ],
      "filename_prefix": "chaerin_fd"
    }
  }
}