# Advisor Prompts

These prompts apply `gpt-image-2` Advisor guidance: choose the nearest template family, split fields, define must-keep / avoid constraints, and make reference roles explicit.

## T01 Advisor: Character Identity Makeup Still

```json
{
  "type": "character identity makeup still / reusable identity reference",
  "goal": "Generate a stable identity reference image for a recurring MV protagonist. The image is not the final MV scene; it will be used as identity_ref in later image-to-image shots.",
  "subject": {
    "identity": "50-year-old East Asian male traveler",
    "face": {
      "glasses": "black rectangular glasses",
      "hair": "short dark hair, slightly messy, natural not styled",
      "facial_hair": "light stubble, uneven and realistic",
      "skin": "natural skin texture, visible pores, no plastic smoothing",
      "eyes": "tired but steady, restrained emotional weight"
    },
    "expression": {
      "mood": "quiet resilience, fatigue contained rather than dramatized",
      "gaze": "neutral forward gaze, not heroic, not influencer-like"
    },
    "wardrobe_visible": "dark long coat collar and upper chest, old backpack strap visible but secondary"
  },
  "composition": {
    "shot": "head-and-shoulders or upper torso portrait",
    "framing": "centered enough for identity reuse, simple background, no dramatic scene action",
    "aspect_ratio": "3:4 or vertical 9:16",
    "background": "plain cool gray outdoor overcast background, lightly blurred"
  },
  "style": {
    "image_type": "photorealistic makeup still / character reference photo",
    "lighting": "soft overcast natural light, low contrast, no glamour rim light",
    "color_grading": "cool gray road-movie palette, muted skin tones",
    "camera": "85mm portrait lens feel, realistic depth of field"
  },
  "constraints": {
    "must_keep": [
      "face identity must be stable and reusable",
      "black rectangular glasses are a fixed identity marker",
      "stubble, age, and tired eyes must remain visible",
      "wardrobe should hint at the traveler system without becoming a fashion shoot"
    ],
    "avoid": [
      "hero poster",
      "fashion editorial portrait",
      "smiling influencer headshot",
      "excessive wrinkles or caricatured aging",
      "dramatic fantasy lighting",
      "readable text, logo, watermark"
    ]
  },
  "usage_note": "Use this output as identity_ref only. Do not use it as the sole reference for wide walking shots because it may pull later generations toward portrait framing."
}
```

## T02 Advisor: Wardrobe / Body Fullbody Anchor

```json
{
  "type": "wardrobe and body silhouette reference",
  "goal": "Generate a reusable wardrobe_ref / body_ref for later MV shots. Face similarity is secondary; clothing geometry, body proportions, and traveler silhouette are primary.",
  "subject": {
    "character_system": "same 50-year-old East Asian male traveler system as identity_ref",
    "visibility": "full body, head to boots, standing in neutral pose",
    "priority": {
      "highest": "coat length, backpack shape, trouser cuffs, muddy boots, body proportion",
      "medium": "age impression, glasses presence",
      "lower": "precise facial likeness"
    },
    "wardrobe": {
      "coat": "dark long coat reaching around knee level, worn fabric, not stylish new fashion",
      "backpack": "old practical backpack with visible shoulder straps, slightly sagging",
      "pants": "dark worn trousers, relaxed fit, cuffs near boots",
      "boots": "sturdy muddy travel boots, scuffed leather or canvas"
    }
  },
  "composition": {
    "shot": "full-body neutral reference photo",
    "camera": "straight-on eye-level, consistent scale, no dramatic perspective",
    "pose": "standing or slight walking-ready stance, arms natural, body readable",
    "background": "plain light gray or muted outdoor wall, minimal distractions",
    "aspect_ratio": "3:4 vertical"
  },
  "style": {
    "image_type": "photorealistic costume continuity reference",
    "lighting": "even soft daylight",
    "rendering": "clear clothing edges and material texture, not painterly"
  },
  "constraints": {
    "must_keep": [
      "full body visible including boots",
      "coat length and backpack silhouette clearly readable",
      "outfit looks used, practical, and road-worn",
      "single subject only"
    ],
    "avoid": [
      "tight portrait crop",
      "runway fashion styling",
      "clean luxury clothes",
      "strong action pose that hides outfit structure",
      "extra bags or props that confuse continuity",
      "readable text, logo, watermark"
    ]
  },
  "usage_note": "Use this output as wardrobe_ref. Pair it with identity_ref for face-bearing shots and pose_ref for action/composition shots."
}
```

## T03 Advisor: MV Side-Walking Road Shot

```json
{
  "type": "single cinematic MV storyboard still",
  "goal": "Generate one vertical 9:16 MV production still from a director card. The shot should feel like a road-movie scene, not a character portrait.",
  "reference_strategy": {
    "identity_ref": "use only to preserve the recurring character system: 50-year-old East Asian male, black rectangular glasses, stubble, tired steady face",
    "wardrobe_ref": "use to preserve long dark coat, old backpack, trouser cuffs, muddy boots, body silhouette",
    "pose_ref": "use for side or three-quarter walking posture, gaze toward the road, no direct eye contact",
    "style_ref": "cold morning road-movie still, muted gray-blue light, restrained fatigue"
  },
  "scene": {
    "time": "early morning, cold air, thin mist",
    "location": "empty rural or suburban road leading into distance",
    "weather": "damp road surface, light frost or cold haze",
    "emotional_function": "the character is still moving after hardship; fatigue becomes forward motion"
  },
  "composition": {
    "aspect_ratio": "vertical 9:16",
    "shot_size": "medium-wide to wide shot, full body or knee-up",
    "camera_angle": "eye-level or slightly low, not portrait lens close-up",
    "character_position": "off-center on lower third or side third",
    "environment_ratio": "at least 60% of the image is road, mist, sky, and surrounding space",
    "directionality": "road line leads away from camera, character walking along it",
    "gaze": "looking toward the road ahead, no direct camera gaze"
  },
  "style": {
    "image_type": "photorealistic cinematic still",
    "lens": "35mm or 50mm road-movie framing, natural perspective",
    "lighting": "soft cold dawn light, low contrast, realistic shadows",
    "color_grading": "muted blue-gray with slight warm skin undertone"
  },
  "constraints": {
    "must_keep": [
      "same character system as identity_ref",
      "same wardrobe system as wardrobe_ref",
      "body in motion, not posing",
      "environment dominates the frame",
      "road depth and walking direction are clear"
    ],
    "avoid": [
      "centered front-facing portrait",
      "direct eye contact",
      "heroic poster stance",
      "fashion photo",
      "clean new clothing",
      "overly dramatic rainstorm",
      "readable text, logo, watermark"
    ]
  },
  "failure_guard": "If the model over-prioritizes face identity and produces a portrait, reduce identity_ref weight and strengthen pose_ref + environment_ratio in the next prompt."
}
```

## T04 Advisor: Low-Angle Muddy Boots Detail

```json
{
  "type": "cinematic MV detail shot / tactile continuity shot",
  "goal": "Generate a vertical detail still where the character's struggle is carried by boots, mud, coat hem, and movement rather than face identity.",
  "reference_strategy": {
    "primary_ref": "wardrobe_ref or boots_ref",
    "secondary_ref": "pose/action reference for stepping through wet mud",
    "identity_ref": "not needed as primary; use only if the image tool supports low-weight reference roles"
  },
  "subject": {
    "main": "muddy travel boots stepping into wet mud on a cold road",
    "supporting_details": [
      "dark long coat hem partially visible",
      "old backpack strap or swinging shadow may appear at frame edge",
      "mud splashes and wet gravel carry the sense of effort"
    ],
    "face_visibility": "no face required"
  },
  "composition": {
    "aspect_ratio": "vertical 9:16",
    "camera": "very low angle near ground, close to boots",
    "shot_size": "extreme low close-up with enough surrounding road texture",
    "motion": "one boot compressing mud, the other lifting forward",
    "depth": "road surface recedes into soft misty background"
  },
  "style": {
    "image_type": "photorealistic cinematic road-movie detail",
    "lighting": "cold natural dawn light, wet surface reflections",
    "texture": "mud, water, scuffed boot leather, coat fabric edge",
    "color_grading": "muted earth brown, wet black, cold blue-gray highlights"
  },
  "constraints": {
    "must_keep": [
      "boots and mud are the emotional subject",
      "shot is not a portrait",
      "same wardrobe language as the traveler system",
      "tactile realism: mud has weight, water has reflections"
    ],
    "avoid": [
      "showing a face",
      "clean boots",
      "generic fashion footwear ad",
      "fantasy heroic lighting",
      "excessive splash that feels staged",
      "readable text, logo, watermark"
    ]
  },
  "usage_note": "This shot should use wardrobe_ref / boots_ref as the main anchor. Overusing identity_ref is a known failure path."
}
```

## T05 Advisor: High-Density Explainer Slide Visual

```json
{
  "type": "high-density explainer slide background / visual system",
  "goal": "Generate a clean training-slide visual explaining staged visual anchors in AI image production. The generated image should provide structure and icons; final readable text should be added by slide tooling, not by the image model.",
  "topic": "why AI image production needs staged visual anchors",
  "style": {
    "format": "clean explainer slide / ponchi-e inspired diagram",
    "blend": "training slide clarity + soft operational illustration",
    "color_palette": "warm off-white background, deep gray lines, muted red accent, small blue-gray highlights",
    "information_density": "medium-high but readable"
  },
  "layout": {
    "aspect_ratio": "16:9",
    "title_safe_area": "top band left mostly empty for real slide title added later",
    "centerpiece": "a horizontal workflow spine with five visual stations",
    "sections": [
      {
        "id": "1",
        "visual_role": "identity anchor",
        "image": "small portrait-card icon with face silhouette and glasses marker, no readable text"
      },
      {
        "id": "2",
        "visual_role": "wardrobe anchor",
        "image": "full-body outfit card icon with coat, backpack, boots"
      },
      {
        "id": "3",
        "visual_role": "pose / composition anchor",
        "image": "side-walking pose frame with road perspective"
      },
      {
        "id": "4",
        "visual_role": "prompt rendering",
        "image": "structured prompt card with abstract lines, not readable text"
      },
      {
        "id": "5",
        "visual_role": "review and rerun",
        "image": "comparison/checklist icon and circular arrow"
      }
    ],
    "connector_style": "thin arrows between sections, light grid alignment, generous margins"
  },
  "constraints": {
    "must_keep": [
      "clear left-to-right process structure",
      "visual hierarchy supports later overlay text",
      "no dense generated text",
      "icons are consistent in line weight and color",
      "the diagram implies staged anchors before final image generation"
    ],
    "avoid": [
      "tiny unreadable paragraphs",
      "random AI robot imagery",
      "too many colors",
      "crowded margins",
      "fake UI text, logo, watermark"
    ]
  },
  "post_use_note": "After image generation, add real Chinese labels in slide/page tooling. Do not rely on the image model for final readable text."
}
```