美女图片生成器

Other

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.

Install

openclaw skills install beauty-photo-generator

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:

Explicit user text
User's later option choices
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:

正面微偏左
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.