🎁 Get the FREE AI Skills Starter GuideSubscribe →
BytesAgainBytesAgain
🦀 ClawHub

美女图片生成器

by @pddsa

Guide a user through a compact two-step Chinese option flow for adult female portraits, generate two matched realistic images directly, then optionally creat...

TERMINAL
clawhub install beauty-photo-generator

📖 About This Skill


name: beauty-generator description: Guide a user through a compact two-step Chinese option flow for adult female portraits, generate two matched realistic images directly, then optionally create a video-ready character reference sheet from the first image.

Beauty Generator

Overview

Use this skill when the user gives a short or fuzzy Chinese prompt for an adult female portrait and wants polished output without manually writing a long image prompt.

Keep the experience product-like:

  • First give a compact core-choice round
  • Then offer one optional detail round
  • Send one short Chinese confirmation
  • Generate two images directly
  • After generation, offer an optional follow-up for a video-ready character reference sheet
  • Read these files only when needed:

  • references/option_catalog.md: presets, defaults, and option menus
  • references/conversation_flows.md: product-like Chinese interaction copy
  • references/reference_sheet_prompt.md: fixed prompt rules for the optional character reference sheet
  • Workflow

    1. Scope and safety

  • Only generate adult women.
  • Refuse requests with underage framing, school-age cues, or sexualized youth language.
  • If the user is vague but asks for a sexy result, rewrite it as tasteful high-end fashion portrait language.
  • Keep the result realistic, elegant, and non-explicit.
  • 2. Run the core-choice round first

    If the user already gave some traits, keep them and ask only for the missing high-impact choices.

    The first round covers:

  • Preset template
  • Face shape
  • Eye shape
  • Hairstyle
  • Vibe
  • Background
  • Use the short copy from references/conversation_flows.md. Encourage replies with letters, numbers, or short Chinese phrases.

    3. Offer one optional detail round

    Offer a second round for refinement only once. If the user skips it, use the defaults in references/option_catalog.md.

    The detail round covers:

  • Age feel
  • Body tendency
  • Makeup
  • Hair color
  • Expression
  • Lighting mood
  • 4. Resolve conflicts consistently

    When user inputs conflict, use this order:

    1. Explicit user text 2. User's later option choices 3. Preset defaults

    Do not silently replace a clear user requirement with a preset.

    5. Assemble the portrait prompt

    Build one polished Chinese natural-language prompt. Do not show the full prompt unless the user explicitly asks for it.

    The portrait prompt should usually include:

  • Adult identity and the chosen aesthetic direction
  • Face shape, eye shape, hairstyle, hair color, and makeup
  • Vibe, expression, age feel, and body tendency
  • Background and lighting mood
  • Realistic portrait-photography quality targets
  • Clean facial detail, natural skin texture, no text, no watermark
  • Unless the user asks otherwise, keep the baseline:

  • Default preset: 东方现代写实
  • Half-body close portrait
  • Clear sharp face
  • Natural skin texture
  • Clean high-end background
  • Realistic photography
  • 6. Enforce the portrait usage cap

    Right before generating the two portrait images, run:

    python .\scripts\usage_gate.py portraits consume
    

    If the returned JSON contains allowed: false, do not generate. Return the exact message from the script.

    If the user asks about remaining portrait uses, run:

    python .\scripts\usage_gate.py portraits status
    

    7. Generate exactly two portrait images

    Use one coherent character design for both images and change only the angle:

    1. 正面微偏左 2. 侧脸回望

    Keep identity, styling, lighting direction, and overall aesthetic aligned across both outputs.

    Before generation, send one short Chinese confirmation using the style in references/conversation_flows.md.

    8. Offer the video-prep follow-up

    Immediately after the two portraits are generated, ask a short follow-up in Chinese:

    如果你要继续做视频素材,我可以基于第1张“正面微偏左”继续生成角色设定参考表。回复“需要”即可。

    If the user does not say 需要, stop there.

    9. Generate the character reference sheet on demand

    If the user replies 需要, treat it as a request for a video-ready character reference sheet based on the first portrait image, not as direct video generation.

    Before generating the reference sheet, run:

    python .\scripts\usage_gate.py reference-sheet consume
    

    If the returned JSON contains allowed: false, do not generate. Return the exact message from the script.

    If the user asks about remaining reference-sheet uses, run:

    python .\scripts\usage_gate.py reference-sheet status
    

    Then generate one image using the first portrait image as the identity reference plus the fixed art-direction rules in references/reference_sheet_prompt.md.

    The generated sheet must:

  • Preserve the same face and identity as the first portrait
  • Use a white pure background
  • Present a professional high-end fashion character reference layout
  • Show four aligned full-body views and multiple detail callouts
  • Stay photorealistic and print-ready
  • Response style

  • Keep the interaction in Chinese unless the user asks otherwise.
  • Be concise, guided, and product-like.
  • Do not dump long prompts by default.
  • Confirm selections briefly, then generate directly.
  • 作者微信:ddff9294 加好友备注来意。 有公众号,持续输出AI内容 ~