{
  "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": "glazionmale_v4.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": "male character, medium fashion portrait of a stylish 32 year old East Asian man standing in a modern hotel lobby, broad shoulders and consistent masculine proportions, angular face, straight nose, expressive hazel-brown eyes, natural skin with visible pores and subtle beard shadow, swept-back dark hair, relaxed self-assured pose with one hand adjusting his tailored camel coat over a black turtleneck, soft golden practical lights and cool window fill, shot on Sony alpha 7R V with a 50mm f/1.2 lens, elegant architectural bokeh, editorial menswear campaign, fine film grain, stylized semi-realistic modern manhwa aesthetic",
      "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": "male character, medium fashion portrait of a stylish 32 year old East Asian man standing in a modern hotel lobby, broad shoulders and consistent masculine proportions, angular face, straight nose, expressive hazel-brown eyes, natural skin with visible pores and subtle beard shadow, swept-back dark hair, relaxed self-assured pose with one hand adjusting his tailored camel coat over a black turtleneck, soft golden practical lights and cool window fill, shot on Sony alpha 7R V with a 50mm f/1.2 lens, elegant architectural bokeh, editorial menswear campaign, fine film grain, stylized semi-realistic modern manhwa aesthetic",
      "auto_resize_images": true
    }
  },
  "9": {
    "class_type": "EmptySD3LatentImage",
    "_comment": "832x1216 portrait — ZIT uses Flux/16ch latent format (Lumina2 base)",
    "inputs": {
      "width": 896,
      "height": 1152,
      "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": 1220646981,
      "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_j020408"
    }
  }
}