Image Generation — Vol. 19

• 1.Night club

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  {
    "prompt": "A curvy but slender thirty-year-old woman with wavy brown hair dances wildly on a nightclub podium. She has her hands free, eyes open, looking around with a complex expressio. She wears a white strapless top and a short black leather miniskirt. A prominent breast and curvy but slender figure, shiny red stiletto heels. The full figure of the woman is visible from head to toe. She is surrounded by indistinct male shadows in the background. The scene is lit with harsh, colorful stage lights creating strong shadows and highlights. The image is a cinematic, realistic capture with a 9:16 aspect ratio, featuring a shallow depth of field to keep the woman in sharp focus. The shot is captured as cinematic, non-CGI quality, mimicking a high-end film still from a social-realist drama. High grain, 35mm film texture, authentic skin pores and imperfections visible, no digital smoothing.",
    "negative_prompt": "Digital art, CGI, 3D render, illustration, painting, drawing, cartoon, anime, smooth skin, airbrushed, flawless skin, soft lighting, blurry, out of focus, distorted proportions, unnatural pose, ugly, bad anatomy, bad hands, extra fingers, missing fingers, cropped body, watermarks, signatures, text, logo, frame, border, low quality, low resolution, jpeg artifacts",
    "width": 720,
    "height": 1280,
    "guidance_scale": 7.5,
    "num_inference_steps": 30,
    "seed": 123456,
    "scheduler": "DDIM"
  }

• 2.The Solar Priestess of Amun

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  {
    "title": "The Solar Priestess of Amun",
    "description": "A stunning, stylized portrait of a woman transformed into an Ancient Egyptian priestess, blending photorealism with the texture of tomb paintings.",
    "prompt": "You will perform an image edit using the female from the provided photo as the main subject. Preserve her core likeness. Transform the subject into a high-ranking Ancient Egyptian priestess in the style of New Kingdom art. She is depicted in a stylized profile view (canonical perspective) against a backdrop of limestone walls covered in vibrant hieroglyphs. The image should possess the texture of aged papyrus and gold leaf while maintaining cinematic lighting in a 1:1 aspect ratio.",
    "details": {
      "year": "1250 BC",
      "genre": "Ancient Egyptian Art",
      "location": "The inner sanctuary of the Temple of Karnak, surrounded by massive sandstone columns.",
      "lighting": [
        "Warm golden sunlight",
        "Flickering torchlight shadows",
        "Specular highlights on gold jewelry"
      ],
      "camera_angle": "Side profile shot at eye level, mimicking the traditional Egyptian art perspective.",
      "emotion": [
        "Regal",
        "Devout",
        "Serene"
      ],
      "color_palette": [
        "Lapis Lazuli Blue",
        "Burnished Gold",
        "Ochre Red",
        "Turquoise"
      ],
      "atmosphere": [
        "Sacred",
        "Timeless",
        "Mystical",
        "Opulent"
      ],
      "environmental_elements": "Carved hieroglyphs on the background wall, floating dust motes caught in shafts of light, sacred lotus flowers.",
      "subject1": {
        "costume": "A pleated white linen dress (kalasiris), a heavy gold Wesekh collar inlaid with semi-precious stones, and a vulture headdress.",
        "subject_expression": "A stoic, commanding gaze looking forward.",
        "subject_action": "Holding a ceremonial Ankh symbol raised slightly in one hand."
      },
      "negative_prompt": {
        "exclude_visuals": [
          "modern fashion",
          "denim",
          "digital technology",
          "cars"
        ],
        "exclude_styles": [
          "3D render",
          "anime",
          "impressionism",
          "cyberpunk"
        ],
        "exclude_colors": [
          "neon green",
          "electric purple"
        ],
        "exclude_objects": [
          "eyeglasses",
          "watches",
          "modern buildings"
        ]
      }
    }
  }

• 3.Young woman with bikini

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  {
    "image_prompt": {
      "subject": {
        "description": "Young woman with shoulder-length blonde hair.",
        "face": "Neutral expression, looking directly up at the camera."
      },
      "clothing": {
        "top": "Black string bikini top with gold O-ring hardware.",
        "bottom": "Matching black string bikini bottoms with gold O-ring hardware.",
        "accessories": "A small gold pendant necklace and a belly button piercing.",
        "style": "Two-piece black bikini set with metallic details."
      },
      "pose": {
        "action": "Sitting upright on the edge of a lounge chair.",
        "hands": "Arms resting behind her back on the chair.",
        "angle": "High-angle, full-portrait view."
      },
      "environment": {
        "location": "Outdoor patio.",
        "foreground": "Grey mesh lounge chair.",
        "background": "Textured stone pavers and green bushes."
      },
      "technical_details": {
        "lighting": "Bright, direct natural sunlight creating sharp shadows.",
        "medium": "High-resolution photograph.",
        "style": "Realistic, clear, detailed photo."
      }
    }
  }

• 4.Minimalist Surveillance Illustration Prompt

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  {
    "colors": {
      "color_temperature": "warm",
      "contrast_level": "high",
      "dominant_palette": [
        "orange",
        "off-white",
        "black",
        "yellow"
      ]
    },
    "composition": {
      "camera_angle": "eye-level shot",
      "depth_of_field": "deep",
      "focus": "The relationship between the small man and the large eyes watching him.",
      "framing": "The small figure is centered at the bottom, while the upper two-thirds of the frame are filled with a pattern of large eyes looking down, creating an oppressive and symmetrical composition."
    },
    "description_short": "A minimalist graphic illustration of a small man in a yellow shirt being watched by many large, stylized eyes against a vibrant orange background.",
    "environment": {
      "location_type": "abstract",
      "setting_details": "The setting is a solid, textured orange background, devoid of any other environmental elements, creating a symbolic and non-literal space.",
      "time_of_day": "unknown",
      "weather": "none"
    },
    "lighting": {
      "intensity": "moderate",
      "source_direction": "unknown",
      "type": "ambient"
    },
    "mood": {
      "atmosphere": "A feeling of being under constant scrutiny or surveillance.",
      "emotional_tone": "tense"
    },
    "narrative_elements": {
      "character_interactions": "A single individual is the subject of an intense, overwhelming gaze from a multitude of disembodied eyes, suggesting a power imbalance and a feeling of being judged.",
      "environmental_storytelling": "The vast, empty space dominated by giant eyes emphasizes the isolation and vulnerability of the small figure, telling a story of surveillance, paranoia, or social pressure.",
      "implied_action": "The man is standing still, seemingly frozen under the weight of the gaze. The scene is static but psychologically charged."
    },
    "objects": [
      "Eyes",
      "Human figure"
    ],
    "people": {
      "ages": [
        "adult"
      ],
      "clothing_style": "Casual (yellow t-shirt, black pants)",
      "count": "1",
      "genders": [
        "male"
      ]
    },
    "prompt": "A striking, minimalist graphic illustration depicting a small man in a yellow t-shirt and black pants, standing alone at the bottom of the frame. Above him, a multitude of giant, stylized eyes with black pupils stare down intently. The background is a solid, textured, vibrant orange. The mood is tense and surreal, conveying a powerful sense of surveillance, paranoia, and being judged. The art style is clean, symbolic, and high-contrast.",
    "style": {
      "art_style": "minimalist",
      "influences": [
        "graphic design",
        "surrealism",
        "poster art"
      ],
      "medium": "digital art"
    },
    "technical_tags": [
      "illustration",
      "minimalism",
      "surrealism",
      "symbolism",
      "paranoia",
      "surveillance",
      "graphic art",
      "high contrast",
      "conceptual"
    ],
    "use_case": "Editorial illustration for topics such as data privacy, social anxiety, government surveillance, or public scrutiny.",
    "uuid": "a11d9c1f-ca39-4d02-a6ec-21769391501c"
  }

• 5.LinkedIn JSON → Canonical Markdown Profile Generator

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  # LinkedIn JSON → Canonical Markdown Profile Generator
  
  VERSION: 1.2
  AUTHOR: Scott M
  LAST UPDATED: 2026-02-19
  PURPOSE: Convert raw LinkedIn JSON export files into a deterministic, structurally rigid Markdown profile for reuse in downstream AI prompts.
  
  ---
  
  # CHANGELOG
  
  ## 1.2 (2026-02-19)
  - Added instructions for requesting and downloading LinkedIn data export
  - Added note about 24-hour processing delay for LinkedIn exports
  - Specified multi-locale text handling (preferredLocale → en_US → first available)
  - Added explicit date formatting rule (YYYY or YYYY-MM)
  - Clarified "Currently Employed" logic
  - Simplified / made realistic CONTACT_INFORMATION fields
  - Added rule to prefer Profile.json for name, headline, summary
  - Added instruction to ignore non-listed JSON files
  
  ## 1.1
  - Added strict section boundary anchors for downstream parsing
  - Added STRUCTURE_INDEX block for machine-readable counts
  - Added RAW_JSON_REFERENCE presence map
  - Strengthened anti-hallucination rules
  - Clarified handling of null vs missing fields
  - Added deterministic ordering requirements
  
  ## 1.0
  - Initial release
  - Basic JSON → Markdown transformation
  - Metadata block with derived values
  
  ---
  
  # HOW TO EXPORT YOUR LINKEDIN DATA
  
  1. Go to LinkedIn → Click your profile picture (top right) → Settings & Privacy
  2. Under "Data privacy" → "How LinkedIn uses your data" → "Get a copy of your data"
  3. Select "Want something in particular?" → Choose the specific data sets you want:
     - Profile (includes Profile.json)
     - Positions / Experience
     - Education
     - Skills
     - Certifications (or LicensesAndCertifications)
     - Projects
     - Courses
     - Publications
     - Honors & Awards
     (You can select all of them — it's usually fine)
  4. Click "Request archive" → Enter password if prompted
  5. LinkedIn will email you (usually within 24 hours) when the .zip file is ready
  6. Download the .zip, unzip it, and paste the contents of the relevant .json files here
  
  Important: LinkedIn normally takes up to 24 hours to prepare and send your data archive. You will not receive the files instantly. Once you have the files, paste their contents (or the most important ones) directly into the next message.
  
  ---
  
  # SYSTEM ROLE
  
  You are a **Deterministic Profile Canonicalization Engine**.
  
  Your job is to transform LinkedIn JSON export data into a structured Markdown document without rewriting, optimizing, summarizing, or enhancing the content.
  
  You are performing format normalization only.
  
  ---
  
  # GOAL
  
  Produce a reusable, clean Markdown profile that:
  - Uses ONLY data present in the JSON
  - Never fabricates or infers missing information
  - Clearly distinguishes between missing fields, null values, empty strings
  - Preserves all role boundaries
  - Maintains chronological ordering (most recent first)
  - Is rigidly structured for downstream AI parsing
  
  ---
  
  # INPUT
  
  The user will paste content from one or more LinkedIn JSON export files after receiving their archive (usually within 24 hours of request).
  
  Common files include:
  - Profile.json
  - Positions.json
  - Education.json
  - Skills.json
  - Certifications.json (or LicensesAndCertifications.json)
  - Projects.json
  - Courses.json
  - Publications.json
  - Honors.json
  
  Only process files from the list above. Ignore all other .json files in the archive.
  
  All input is raw JSON (objects or arrays).
  
  ---
  
  # TRANSFORMATION RULES
  
  1. Do NOT summarize, rewrite, fix grammar, or use marketing tone.
  2. Do NOT infer skills, achievements, or connections from descriptions.
  3. Do NOT merge roles or assume current employment unless explicitly indicated.
  4. Preserve exact wording from JSON text fields.
  5. For multi-locale text fields ({ "localized": {...}, "preferredLocale": ... }):
     - Use value from preferredLocale → en_US → first available locale
     - If no usable text → "Not Provided"
  6. Dates: Render as YYYY or YYYY-MM (example: 2023 or 2023-06). If only year → use YYYY. If missing → "Not Provided".
  7. If a section/file is completely absent → write: `Section not provided in export.`
  8. If a field exists but is null, empty string, or empty object → write: `Not Provided`
  9. Prefer Profile.json over other files for full name, headline, and about/summary when conflicts exist.
  
  ---
  
  # OUTPUT FORMAT
  
  Return a single Markdown document structured exactly as follows.
  
  Use ALL section boundary anchors exactly as written.
  
  ---
  
  # PROFILE_START
  
  # [Full Name]
  (Use preferredLocale → en_US full name from Profile.json. Fallback: firstName + lastName, or any name field. If no name anywhere → "Name not found in export")
  
  ## CONTACT_INFORMATION_START
  - Location:
  - LinkedIn URL:
  - Websites:
  - Email: (only if explicitly present)
  - Phone: (only if explicitly present)
  ## CONTACT_INFORMATION_END
  
  ## PROFESSIONAL_HEADLINE_START
  [Exact headline text from Profile.json – prefer Profile over Positions if conflict]
  ## PROFESSIONAL_HEADLINE_END
  
  ## ABOUT_SECTION_START
  [Exact summary/about text – prefer Profile.json]
  ## ABOUT_SECTION_END
  
  ---
  
  ## EXPERIENCE_SECTION_START
  
  For each role in Positions.json (most recent first):
  
  ### ROLE_START
  Title:
  Company:
  Location:
  Employment Type: (if present, else Not Provided)
  Start Date:
  End Date:
  Currently Employed: Yes/No
  (Yes only if no endDate exists OR endDate is null/empty AND this is the last/most recent position)
  
  Description:
  - Preserve original line breaks and bullet formatting (convert \n to markdown line breaks; strip HTML if present)
  ### ROLE_END
  
  If Positions.json missing or empty:
  Section not provided in export.
  
  ## EXPERIENCE_SECTION_END
  
  ---
  
  ## EDUCATION_SECTION_START
  
  For each entry (most recent first):
  
  ### EDUCATION_ENTRY_START
  Institution:
  Degree:
  Field of Study:
  Start Date:
  End Date:
  Grade:
  Activities:
  ### EDUCATION_ENTRY_END
  
  If none: Section not provided in export.
  
  ## EDUCATION_SECTION_END
  
  ---
  
  ## CERTIFICATIONS_SECTION_START
  - Certification Name — Issuing Organization — Issue Date — Expiration Date
  If none: Section not provided in export.
  ## CERTIFICATIONS_SECTION_END
  
  ---
  
  ## SKILLS_SECTION_START
  List in original order from Skills.json (usually most endorsed first):
  - Skill 1
  - Skill 2
  If none: Section not provided in export.
  ## SKILLS_SECTION_END
  
  ---
  
  ## PROJECTS_SECTION_START
  ### PROJECT_ENTRY_START
  Project Name:
  Associated Role:
  Description:
  Link:
  ### PROJECT_ENTRY_END
  If none: Section not provided in export.
  ## PROJECTS_SECTION_END
  
  ---
  
  ## PUBLICATIONS_SECTION_START
  If present, list entries.
  If none: Section not provided in export.
  ## PUBLICATIONS_SECTION_END
  
  ---
  
  ## HONORS_SECTION_START
  If present, list entries.
  If none: Section not provided in export.
  ## HONORS_SECTION_END
  
  ---
  
  ## COURSES_SECTION_START
  If present, list entries.
  If none: Section not provided in export.
  ## COURSES_SECTION_END
  
  ---
  
  ## STRUCTURE_INDEX_START
  Experience Entries: X
  Education Entries: X
  Certification Entries: X
  Skill Count: X
  Project Entries: X
  Publication Entries: X
  Honors Entries: X
  Course Entries: X
  ## STRUCTURE_INDEX_END
  
  ---
  
  ## PROFILE_METADATA_START
  Total Roles: X
  Total Years Experience: Not Reliably Calculable (removed automatic calculation due to frequent gaps/overlaps)
  Has Management Title: Yes/No (strict keyword match only: contains "Manager", "Director", "Lead ", "Head of", "VP ", "Chief ")
  Has Certifications: Yes/No
  Has Skills Section: Yes/No
  Data Gaps Detected:
  - List major missing sections
  ## PROFILE_METADATA_END
  
  ---
  
  ## RAW_JSON_REFERENCE_START
  Profile.json: Present/Missing
  Positions.json: Present/Missing
  Education.json: Present/Missing
  Skills.json: Present/Missing
  Certifications.json: Present/Missing
  Projects.json: Present/Missing
  Courses.json: Present/Missing
  Publications.json: Present/Missing
  Honors.json: Present/Missing
  ## RAW_JSON_REFERENCE_END
  
  # PROFILE_END
  
  ---
  
  # ERROR HANDLING
  
  If JSON is malformed:
  - Identify which file(s) appear malformed
  - Briefly describe the structural issue
  - Do not repair or guess values
  
  If conflicting values appear:
  - Prefer Profile.json for name/headline/summary
  - Add short section:
    ## DATA_CONFLICT_NOTES
    - Describe discrepancy briefly
  
  ---
  
  # FINAL INSTRUCTION
  
  Return only the completed Markdown document.
  
  Do not explain the transformation.
  Do not include commentary.
  Do not summarize.
  Do not justify decisions.

• 6.Ghibli style anime character

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  A cozy hand-drawn anime-style male character inspired by soft nostalgic Japanese animation.
  He has warm brown eyes, gentle smile, shoulder-length slightly wavy dark hair, wearing a soft beige cardigan over a light pastel dress.
  He is sitting at a wooden desk with a notebook labeled “Savings Plan” and a small cup of tea beside her.
  Warm golden sunset lighting coming through the window, soft shadows, detailed background, peaceful atmosphere, cinematic framing, highly detailed, 4k illustration, wholesome, calm mood.

• 7.Heart Illustration

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  [00:00 - 00:03]
  Hyper-realistic 8K 3D human heart anatomy, beating slowly, detailed muscle texture with coronary arteries, Golden Hour Cinematic lighting, fisheye distortion effect, 35mm storytelling lens, professional medical infographic style, blurred futuristic laboratory background. --ar 9:16
  
  [00:03 - 00:06]
   Extreme close-up of heart anatomy, dramatic golden hour lighting, 35mm fisheye lens distortion, hyper-realistic biological textures, cinematic 8K, 9:16 vertical composition. --ar 9:16

• 8.Ball Puppet

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  A high-concept digital art piece for a wallpaper, where traditional Javanese shadow puppetry undergoes a futuristic evolution. Imagine a mechanical Wayang Kulit arm, its joints intricately crafted from burnished brass and glowing fiber-optic circuitry, reaching out to grasp a soccer ball. The composition focuses on the principle of proximity, creating a magnetic tension between the robotic fingers and the sphere. This fusion of cyberpunk aesthetics and global football culture serves as an homage to the strategists of the sport. The style is a clean, high-resolution vector with sharp lines, neon-lit accents, and a deep, abstract background. Original character design, no real-world logos or trademarks.

• 9.Barong 1

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  A detailed vector illustration of a traditional Balinese Barong Ket mask with a fierce expression, bulging eyes, and prominent tusks. Constructed with smooth Bezier curves and Gestalt principles of symmetry. The style fusions Balinese wood-carving aesthetics with modern flat-design minimalism. Colors include crimson, gold, and obsidian black. Verified: Scalable SVG, clean paths, no text, no trademarks

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