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Pixel-Perfect Identity Swap

An extremely technical JSON prompt designed for near pixel-perfect identity replacement (identity swap) using an uploaded subject image. It locks numerous technical parameters including camera height, lens focal length, aperture, and specific pixel coordinates for facial features, ensuring the new identity is inserted into the exact pose and scene of the reference image.

Prompt
{
  "metadata": {
    "engine_name": "PX-LOCK-X",
    "prompt_version": "pxlockx-1.0.0",
    "generation_goal": "Near pixel-perfect recreation with identity-only replacement",
    "reference_frame_policy": {
      "use_reference_as_ground_truth": true,
      "identity_swap_only": true,
      "no_creative_inference": true
    },
    "units": {
      "angles": "degrees",
      "lengths": "centimeters",
      "coords": "normalized_0_to_1",
      "temperature": "kelvin"
    }
  },

  "identity_replacement": {
    "mode": "identity_only",
    "reference_identity_source": "uploaded_subject_image",
    "replace": {
      "face_identity": true,
      "head_shape": true,
      "hair_color_and_length": true,
      "skin_tone": true,
      "body_identity": true
    },
    "preserve_from_reference": {
      "pose": true,
      "camera": true,
      "lighting": true,
      "environment": true,
      "wardrobe": true,
      "jewelry": true,
      "expression_valence": true,
      "framing_and_crop": true
    },
    "identity_strength": 1.0,
    "no_beautification": true,
    "no_style_transfer": true
    },

  "output_settings": {
    "aspect_ratio": "2:3",
    "resolution_target": "reference_matched",
    "render_style": "photorealistic",
    "color_space": "sRGB",
    "compression": "lossless",
    "dynamic_range": "natural",
    "white_balance_lock": true
  },

  "pixel_coordinates_lock": {
    "lock_enabled": true,
    "reference_frame_dimensions_px_estimate": {
      "width_px": 1024,
      "height_px": 1536
    },
    "crop_boundaries_px_norm": {
      "left_x_norm": 0.0,
      "right_x_norm": 1.0,
      "top_y_norm": 0.0,
      "bottom_y_norm": 1.0
    },
    "primary_subject_bounding_box_norm": {
      "x_min": 0.105,
      "y_min": 0.155,
      "x_max": 0.945,
      "y_max": 0.975
    },
    "head_bounding_box_norm": {
      "x_min": 0.205,
      "y_min": 0.175,
      "x_max": 0.625,
      "y_max": 0.360
    },
    "face_feature_anchors_norm": {
      "left_eye_center": { "x": 0.345, "y": 0.252 },
      "right_eye_center": { "x": 0.445, "y": 0.247 },
      "nose_tip": { "x": 0.405, "y": 0.287 },
      "mouth_center": { "x": 0.403, "y": 0.318 },
      "chin_point": { "x": 0.410, "y": 0.352 }
    }
  },

  "camera_lock": {
    "lock_enabled": true,
    "camera_height_cm": 105.0,
    "camera_to_subject_distance_cm": 230.0,
    "camera_orientation_degrees": {
      "yaw": 8.5,
      "pitch": -3.0,
      "roll": 0.6
    },
    "lens": {
      "focal_length_mm": 85.0,
      "sensor_format": "full_frame",
      "distortion_model": "brown_conrady",
      "distortion_coefficients": { "k1": -0.012, "k2": 0.004 }
    },
    "aperture": {
      "f_number": 2.2,
      "focus_distance_cm": 220.0,
      "focus_target": "face_plane"
    },
    "exposure": {
      "iso": 200,
      "shutter_s": 0.002,
      "exposure_comp_ev": 0.0
    }
  },

  "pose_lock": {
    "lock_enabled": true,
    "pose_type": "deep_squat_crouch",
    "body_facin
Author
Community
Published
Dec 13, 2025
Use cases
Others

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