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morpheus-fashion-design墨菲斯时尚设计

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

55,648

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:morpheus-fashion-design(墨菲斯时尚设计)
来源仓库:https://github.com/pauldelavallaz/morpheus-fashion-design
安装命令:
openclaw skills install morpheus-fashion-design
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install morpheus-fashion-design

简介

morpheus-fashion-design 利用 AI 模型生成手持或佩戴产品的专业广告图像。

  • 适用于电商产品展示、时尚品牌宣传等视觉内容创作场景。
  • 需指定人物/模特与产品关系,支持多种构图风格选择。
  • 安装命令:openclaw skills install morpheus-fashion-design;依赖第三方图像 API。
  • 使用时应遵守肖像权与版权法规,避免商用风险。

SKILL.md

name
morpheus-fashion-design
version
1.2.0
description
|
OUTPUT
Single high-quality PNG image (2K-4K resolution)

Morpheus Fashion Design

Generate professional fashion/product advertising images using ComfyDeploy's Morpheus Fashion Design workflow.

⚠️ CRITICAL RULES

1. NO logo field — EVER

The logo input has been removed from the API. Do NOT pass it. Only two image inputs exist:

  • product → the product being advertised
  • model → frontal face photo of the model

2. NEVER USE AUTO VALUES for packs

Configuration packs MUST NEVER be left on auto or AUTO.

auto = empty values = neutral, boring images with no creative direction.

Always select deliberately based on the brief. Custom string values are allowed and encouraged.

Pack Selection Guidelines

PackHow to Choose
style_packBrand personality: luxury→premium_restraint, sports→cinematic_realism, street→street_authentic
camera_packSports→sony_a1, editorial→hasselblad_x2d, street→leica_m6
lens_packPortrait compression? Wide? Match shot type and mood
lighting_packGolden hour? Studio? Natural window? Match brief
pose_discipline_packSport action→sport_in_motion, commercial→commercial_front_facing, UGC→street_style_candid_walk
film_texture_packWarm editorial→kodak_portra_400, cinematic→kodak_vision3_500t, clean→digital_clean_no_emulation
environment_packbeach_minimal, urban_glass_steel, street_crosswalk — or custom string
color_science_packwarm_golden_editorial, neutral_premium_clean, cinematic_low_contrast
time_weather_packgolden_hour_clear, bright_midday_sun, overcast_winter_daylight

API Details

Endpoint: https://api.comfydeploy.com/api/run/deployment/queue Deployment ID: 1e16994d-da67-4f30-9ade-250f964b2abc

Canonical API Call

const response = await fetch("https://api.comfydeploy.com/api/run/deployment/queue", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer YOUR_API_KEY"
  },
  body: JSON.stringify({
    "deployment_id": "1e16994d-da67-4f30-9ade-250f964b2abc",
    "inputs": {
      "product": "/* product image URL */",
      "model":   "/* model face URL */",
      "brief":   "Detailed scene, pose, lighting, mood, product placement...",
      "target":  "Target audience: demographics, psychographics, lifestyle...",
      "input_seed": -1,
      "branding_pack": "logo_none",
      "aspect_ratio": "9:16",
      "style_pack": "street_authentic",
      "camera_pack": "sony_a1",
      "lens_pack": "zeiss_otus_55",
      "film_texture_pack": "kodak_portra_400",
      "color_science_pack": "warm_golden_editorial",
      "shot_pack": "medium_shot",
      "pose_discipline_pack": "street_style_candid_walk",
      "lighting_pack": "natural_window",
      "time_weather_pack": "golden_hour_clear",
      "environment_pack": "urban_glass_steel",
      "intent": "awareness"
    }
  })
});

🎭 Model Catalog

GitHub: https://github.com/PauldeLavallaz/model_management Local path: ~/clawd/models-catalog/catalog/images/

Priority order

  1. User provides model image → use directly
  2. User describes model → search catalog, select best match
  3. No specification → choose based on brief context

Searching

# By body type
cat models-catalog/catalog/catalog.json | python3 -c "
import json,sys; data=json.load(sys.stdin)
for t in data['talents']:
    if t.get('body_type') in ['curvy','plus_size']:
        print(t['id'], t['name'], t['ethnicity'])
"
# By ethnicity + gender
cat models-catalog/catalog/catalog.json | jq '[.talents[] | select(.ethnicity == "hispanic" and .gender == "female") | {id, name, body_type}]'

Creative Brief — How to Write It

Write it as a real photography director's brief — specific, physical, cinematic:

Example: CasanCrem Light (ironic/viral UGC angle)

Campaña UGC TikTok para CasanCrem Light La Serenísima.
Joven de contextura robusta sostiene el pote con sonrisa cómplice en cocina hogareña argentina.
Pose relajada, apoyada en la mesada, mirando directo a cámara con energía y complicidad.
El pote visible y protagonista en la mano. Luz de ventana natural, cálida de tarde.
Estilo UGC auténtico, no publicitario clásico. Cuerpo real, relatable, no atlético.

Example: Oakley Snowboarding

Oakley snowboarding campaign. Rider on metal rail in snowpark, body slightly rotated,
arms open for balance, eyes on the line. Technical authentic freestyle pose.
Alpine snowpark, full midday daylight, compacted snow, metal structures.
Natural sun bouncing off snow — saturated colors, strong contrast.
Documentary approach — freeze rider on rail, sharp body and board.
Real session frame: balance, concentration, style merged.

Configuration Packs Reference

PackOptions
style_packpremium_restraint, editorial_precision, cinematic_realism, cinematic_memory, campaign_hero, product_truth, clean_commercial, street_authentic, archive_fashion, experimental_authorial
shot_packfull_body_wide, medium_shot, close_up, low_angle_hero, three_quarter, waist_up
camera_packarri_alexa35, canon_r5, hasselblad_x2d, leica_m6, sony_a1
lens_packcooke_anamorphic_i_50, leica_noctilux_50, zeiss_otus_55, wide_distortion_controlled
lighting_packgolden_hour_backlit, natural_window, studio_three_point, bright_midday_sun
pose_discipline_packcommercial_front_facing, street_style_candid_walk, sport_in_motion
film_texture_packkodak_portra_400, fujifilm_velvia_50, kodak_vision3_500t, digital_clean_no_emulation
color_science_packneutral_premium_clean, warm_golden_editorial, cinematic_low_contrast
environment_packbeach_minimal, urban_glass_steel, street_crosswalk — or custom descriptive string
time_weather_packgolden_hour_clear, bright_midday_sun, overcast_winter_daylight
branding_packlogo_none ← always unless logo explicitly requested
intentawareness, consideration, conversion, retention
aspect_ratio9:16, 16:9, 1:1, 4:5, 3:4

Python Upload Helper

def comfy_upload(filepath: str, api_key: str) -> str:
    from pathlib import Path
    import requests
    p = Path(filepath)
    mime = "image/png" if p.suffix == ".png" else "image/jpeg"
    with open(p, "rb") as f:
        r = requests.post(
            "https://api.comfydeploy.com/api/file/upload",
            headers={"Authorization": f"Bearer {api_key}"},
            files={"file": (p.name, f, mime)},
            timeout=60
        )
    r.raise_for_status()
    return r.json()["file_url"]

Priority Hierarchy

Talent (identity) > Product fidelity > Fit > Pose > Style > Location > Branding

Troubleshooting

Imagen negra/vacía = filtro de moderación de Google/Gemini activado.

  • No usar personas famosas o celebridades
  • Modificar el brief eliminando referencias problemáticas

API Key: NO pasar como parámetro. Ya está configurado en ComfyDeploy.

Integración con Portrait Generator

Flujo de selección de modelo (actualizado)

El campo model puede venir de dos fuentes:

Opción A — Catálogo (default):

~/clawd/models-catalog/catalog/images/model_XX.jpg

Usar cuando el guión no requiere rasgos muy específicos.

Opción B — Portrait Generator (cuando el guión lo requiere):

portrait-generator → imagen_1 (vista frontal) → model en Morpheus

Usar cuando necesitás: etnia muy específica, edad exacta, rasgos únicos, personaje que no existe en el catálogo de 114 modelos.

Regla: imagen_1 del Portrait Generator = siempre la vista frontal = la correcta para model.

Cuándo usar Portrait Generator

  • Personaje mayor de 60 años
  • Etnia muy específica no disponible en catálogo
  • Rasgos físicos únicos (cicatrices, vitiligo, asimetría facial)
  • Cualquier personaje que el guión describa con detalle

Cuándo usar el catálogo

  • Personaje genérico / sin especificaciones
  • Cualquier modelo joven-adulto estándar
  • Cuando la velocidad importa más que la precisión

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能力 4

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能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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