{
  "prompt": {
    "1": {
      "class_type": "UNETLoader",
      "inputs": {
        "unet_name": "flux-2-klein-4b-fp8.safetensors",
        "weight_dtype": "default"
      }
    },
    "2": {
      "class_type": "CLIPLoader",
      "inputs": {
        "clip_name": "qwen_3_4b.safetensors",
        "type": "flux2",
        "device": "default"
      }
    },
    "3": {
      "class_type": "VAELoader",
      "inputs": {
        "vae_name": "flux2-vae.safetensors"
      }
    },
    "4": {
      "class_type": "CLIPTextEncode",
      "inputs": {
        "text": "High-fidelity photographic wardrobe edit of the reference, with the garment design as the only substantive change. Keep the same face, exact expression and gaze, black hair, skin tone, anatomy, body proportions, original hand and finger placement, elbow bend, clear umbrella and ribs, rainy neon street, train and background lights. Keep the original camera viewpoint and framing. New garments must be coherent three-dimensional clothing with correct seams, collars, closures, fabric weight, fit and folds; adapt them to the existing pose rather than changing her body. Match the original wet-street lighting and reflections. No beauty retouch, no captions, no logos. Wardrobe design: A classic medium-wash indigo denim trucker jacket with a clean pointed collar, two symmetric flap chest pockets, authentic tobacco-colored double stitching, small aged-brass buttons, softly faded seams and sleeve creases. Plain ivory heavyweight cotton T-shirt underneath, matching high-waisted blue jeans and a narrow cognac leather belt. Rolled sleeve cuffs must sit naturally on the original bent arm. Effortless American denim styling, tactile woven fabric, no logos, no distressing holes.",
        "clip": [
          "2",
          0
        ]
      }
    },
    "5": {
      "class_type": "ConditioningZeroOut",
      "inputs": {
        "conditioning": [
          "4",
          0
        ]
      }
    },
    "6": {
      "class_type": "EmptyFlux2LatentImage",
      "inputs": {
        "width": 1008,
        "height": 576,
        "batch_size": 1
      }
    },
    "7": {
      "class_type": "RandomNoise",
      "inputs": {
        "noise_seed": 20263006
      }
    },
    "8": {
      "class_type": "KSamplerSelect",
      "inputs": {
        "sampler_name": "euler"
      }
    },
    "9": {
      "class_type": "Flux2Scheduler",
      "inputs": {
        "steps": 4,
        "width": 1008,
        "height": 576
      }
    },
    "10": {
      "class_type": "CFGGuider",
      "inputs": {
        "model": [
          "1",
          0
        ],
        "positive": [
          "22",
          0
        ],
        "negative": [
          "23",
          0
        ],
        "cfg": 1.0
      }
    },
    "11": {
      "class_type": "SamplerCustomAdvanced",
      "inputs": {
        "noise": [
          "7",
          0
        ],
        "guider": [
          "10",
          0
        ],
        "sampler": [
          "8",
          0
        ],
        "sigmas": [
          "9",
          0
        ],
        "latent_image": [
          "6",
          0
        ]
      }
    },
    "12": {
      "class_type": "VAEDecode",
      "inputs": {
        "samples": [
          "11",
          0
        ],
        "vae": [
          "3",
          0
        ]
      }
    },
    "13": {
      "class_type": "SaveImage",
      "inputs": {
        "images": [
          "12",
          0
        ],
        "filename_prefix": "spark_demos/outfits_10_refined/07_denim"
      }
    },
    "20": {
      "class_type": "LoadImage",
      "inputs": {
        "image": "ref_01.png"
      }
    },
    "21": {
      "class_type": "VAEEncode",
      "inputs": {
        "pixels": [
          "20",
          0
        ],
        "vae": [
          "3",
          0
        ]
      }
    },
    "22": {
      "class_type": "ReferenceLatent",
      "inputs": {
        "conditioning": [
          "4",
          0
        ],
        "latent": [
          "21",
          0
        ]
      }
    },
    "23": {
      "class_type": "ReferenceLatent",
      "inputs": {
        "conditioning": [
          "5",
          0
        ],
        "latent": [
          "21",
          0
        ]
      }
    }
  }
}