[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FZTTZPSRFMCEFZXR45VJQG":3,"skill-same:01M6FZTTZPSRFMCEFZXR45VJQG":86},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":27,"publishedAt":48,"linkOnly":49,"markdownContent":50,"markdownBody":51,"frontMatter":52,"refName":53,"commitSha":54,"skillDirectory":55,"forksCount":56,"repositoryHtmlUrl":57,"repositoryHomepageUrl":6,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":59,"install":60,"resources":73},"01M6FZTTZPSRFMCEFZXR45VJQG","morpheus-fashion-design",null,"Generate professional fashion\u002Fproduct advertising images using ComfyDeploy's Morpheus Fashion Design workflow. Use when the user asks to create fashion ads, product campaigns, commercial photography with models, or branded content. Supports model face consistency, product integration, and professional camera\u002Flighting simulation.","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fpauldelavallaz\u002Fmorpheus-fashion-design\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],"morpheus fashion design","fashion","design","camera","advertising","consistency","professional","campaigns","lighting","photography","images","use","commercial","model","ads","simulation","product","generate","create","workflow","2026-11-10 10:12:30",false,"---\nname: morpheus-fashion-design\ndescription: Generate professional fashion\u002Fproduct advertising images using ComfyDeploy's Morpheus Fashion Design workflow. Use when the user asks to create fashion ads, product campaigns, commercial photography with models, or branded content. Supports model face consistency, product integration, and professional camera\u002Flighting simulation.\n---\n\n# Morpheus Fashion Design\n\nGenerate professional fashion\u002Fproduct advertising images using ComfyDeploy's Morpheus Fashion Design workflow.\n\n## ⚠️ CRITICAL RULE: NEVER USE AUTO VALUES\n\n**Configuration packs MUST NEVER be left on `auto` or `AUTO`.**\n\n`auto` = empty values = neutral, boring images with no creative direction.\n\nThe pack options listed below are **suggestions\u002Fideas**, but you can send **custom values** that better fit the brief. The goal is to select the **best possible configuration** to represent the image needed for the brief.\n\n### Pack Selection Guidelines\n\nFor EVERY generation, thoughtfully select values based on the creative brief:\n\n| Pack | How to Choose |\n|------|---------------|\n| `style_pack` | Match brand personality: luxury→`premium_restraint`, sports→`cinematic_realism`, street→`street_authentic` |\n| `camera_pack` | What camera would a real photographer use? Sports→`sony_a1`, editorial→`hasselblad_x2d`, street→`leica_m6` |\n| `lens_pack` | Portrait compression? Anamorphic? Wide? Match the shot type and mood |\n| `lighting_pack` | What's described in the brief? Golden hour? Studio? Natural window? Choose accordingly |\n| `pose_discipline_pack` | What's the model doing? Sport action→`sport_in_motion`, commercial→`commercial_front_facing` |\n| `film_texture_pack` | Warm editorial→`kodak_portra_400`, cinematic→`kodak_vision3_500t`, clean digital→`digital_clean_no_emulation` |\n| `environment_pack` | Match brief location: beach→`beach_minimal`, urban→`urban_glass_steel`, nature→provide location_ref image |\n| `color_science_pack` | Warm tones? Cool? Cinematic contrast? Select based on mood |\n| `time_weather_pack` | When does the scene happen? Golden hour? Midday? Overcast? |\n\n### Example: Oakley Snowboarding Campaign\n```python\nstyle_pack = \"cinematic_realism\"  # NOT auto - sports action needs energy\ncamera_pack = \"sony_a1\"            # Fast sports camera\nlens_pack = \"wide_distortion_controlled\"  # Capture the action\nlighting_pack = \"golden_hour_backlit\"     # Alpine dramatic lighting\npose_discipline_pack = \"sport_in_motion\"  # Rider in action\ntime_weather_pack = \"golden_hour_clear\"   # Mountain conditions\n```\n\n### Custom Values\nIf none of the preset options fit, you can write your own value as a descriptive string:\n```python\nlighting_pack = \"harsh alpine midday sun reflecting off fresh powder\"\nenvironment_pack = \"snowpark with metal rails and pristine packed snow\"\n```\n\n## Overview\n\nMorpheus Fashion Design is a comprehensive AI workflow for creating high-quality commercial photography with:\n- Product integration\n- Model face consistency\n- Professional lighting and camera settings\n- Brand-aligned creative direction\n\n## API Details\n\n**Endpoint:** `https:\u002F\u002Fapi.comfydeploy.com\u002Fapi\u002Frun\u002Fdeployment\u002Fqueue`\n**Deployment ID:** `79324c61-6bd4-4218-a438-73f1b28c24a7`\n\n## Required Inputs\n\n### Images (must be URLs)\n1. **product** - Product image URL (the item being advertised)\n2. **model** - Model face reference (frontal face photo)\n3. **logo** - Brand logo (optional, use placeholder if not needed)\n\n## ? Model Catalog\n\nA curated catalog of 114 AI-generated model references is available for use when no specific model is provided.\n\n### Repository\n**GitHub:** `https:\u002F\u002Fgithub.com\u002FPauldeLavallaz\u002Fmodel_management`\n\n### ⚠️ PRIORITY: User-provided model ALWAYS wins\nIf the user attaches\u002Fprovides a model image → use that image directly. The catalog is ONLY for when no model is specified.\n\n### Setup (First Time Installation)\n```bash\n# Clone the catalog to your workspace\ngit clone https:\u002F\u002Fgithub.com\u002FPauldeLavallaz\u002Fmodel_management.git models-catalog\n```\n\n### Update Catalog\n```bash\ncd models-catalog && git pull\n```\n\n### Local Path (if already cloned)\n`~\u002Fclawd\u002Fmodels-catalog\u002Fcatalog\u002Fimages\u002F`\n\n### Catalog Structure\n```\nmodels-catalog\u002F\n└── catalog\u002F\n    ├── catalog.json      # Full metadata for all models\n    └── images\u002F           # Model reference photos (model_01.jpg - model_114.jpg)\n```\n\n### Using the Catalog\n\n**Priority order for model selection:**\n1. **User provides model image** → Use that image directly\n2. **User describes desired model** → Search catalog and select best match\n3. **No specification** → Select appropriate model based on campaign brief\n\n### Searching the Catalog\n```bash\n# List all models with basic info\ncat models-catalog\u002Fcatalog\u002Fcatalog.json | jq '[.talents[] | {id, name, gender, ethnicity, tags: .tags[0:2]}]'\n\n# Find models by ethnicity\ncat models-catalog\u002Fcatalog\u002Fcatalog.json | jq '[.talents[] | select(.ethnicity == \"hispanic\") | {id, name, description}]'\n\n# Find models by tag\ncat models-catalog\u002Fcatalog\u002Fcatalog.json | jq '[.talents[] | select(.tags[] == \"commercial\") | {id, name, ethnicity}]'\n\n# Find models by gender\ncat models-catalog\u002Fcatalog\u002Fcatalog.json | jq '[.talents[] | select(.gender == \"male\") | {id, name, ethnicity}]'\n```\n\n### Model Attributes\nEach model entry includes:\n- `id`: Unique identifier (model_01, model_02, etc.)\n- `name`: Model name\n- `gender`: female, male, non-binary\n- `ethnicity`: african, asian, caucasian, hispanic, mixed, etc.\n- `age_group`: young_adult, adult, mature\n- `tags`: editorial, commercial, beauty, lifestyle, avant-garde, etc.\n- `description`: Detailed description of look and best uses\n- `image_path`: Path to reference image\n\n### Example: Selecting a Model\n```bash\n# For an Argentine campo\u002Fgaucho campaign, find hispanic females with commercial tags:\ncat models-catalog\u002Fcatalog\u002Fcatalog.json | jq '[.talents[] | select(.ethnicity == \"hispanic\" and .gender == \"female\" and (.tags[] == \"commercial\" or .tags[] == \"lifestyle\")) | {id, name, description}]'\n\n# Then use the selected model:\n--model \"models-catalog\u002Fcatalog\u002Fimages\u002Fmodel_08.jpg\"\n```\n\n### Creative Brief\n1. **brief** - Detailed campaign description including:\n   - Scene\u002Flocation description\n   - Model pose and action\n   - Product placement and interaction\n   - Lighting and mood\n   - Camera technique\n   - Visual style\n\n2. **target** - Target audience description including:\n   - Demographics\n   - Psychographics\n   - Interests and lifestyle\n\n### Configuration Packs\n\n| Pack | Options |\n|------|---------|\n| `style_pack` | auto, premium_restraint, editorial_precision, cinematic_realism, cinematic_memory, campaign_hero, product_truth, clean_commercial, street_authentic, archive_fashion, experimental_authorial |\n| `shot_pack` | auto, full_body_wide, medium_shot, close_up, low_angle_hero, three_quarter, waist_up, etc. |\n| `camera_pack` | auto, arri_alexa35, canon_r5, hasselblad_x2d, leica_m6, sony_a1, etc. |\n| `lens_pack` | auto, cooke_anamorphic_i_50, leica_noctilux_50, zeiss_otus_55, etc. |\n| `lighting_pack` | auto, golden_hour_backlit, natural_window, studio_three_point, etc. |\n| `pose_discipline_pack` | auto, commercial_front_facing, street_style_candid_walk, sport_in_motion, etc. |\n| `film_texture_pack` | auto, kodak_portra_400, fujifilm_velvia_50, digital_clean_no_emulation, etc. |\n| `color_science_pack` | auto, neutral_premium_clean, warm_golden_editorial, cinematic_low_contrast, etc. |\n| `environment_pack` | AUTO, beach_minimal, urban_glass_steel, street_crosswalk, etc. |\n| `time_weather_pack` | auto, golden_hour_clear, bright_midday_sun, overcast_winter_daylight, etc. |\n| `branding_pack` | logo_none, logo_discreet_lower, logo_top_corner, logo_center_watermark, logo_integrated |\n| `intent` | auto, awareness, consideration, conversion, retention |\n| `aspect_ratio` | 9:16, 16:9, 1:1, 4:5, 5:4, 3:4, 4:3 |\n\n## Workflow Process\n\n1. **Receive request** with brand\u002Fproduct info\n2. **Design brief** aligned with brand identity and campaign goals\n3. **Define target audience** with demographics and psychographics\n4. **Prepare images**:\n   - Download product image(s)\n   - Download\u002Ffind model reference (frontal face)\n   - Upload to ComfyDeploy storage to get URLs\n5. **Select packs** based on creative direction\n6. **Submit job** and poll for completion\n7. **Deliver results**\n\n## Usage\n\n```bash\nuv run ~\u002F.clawdbot\u002Fskills\u002Fmorpheus-fashion-design\u002Fscripts\u002Fgenerate.py \\\n  --product \"path\u002Fto\u002Fproduct.jpg\" \\\n  --model \"path\u002Fto\u002Fmodel-face.jpg\" \\\n  --brief \"Campaign brief text...\" \\\n  --target \"Target audience description...\" \\\n  --aspect-ratio \"4:5\" \\\n  --style-pack \"street_authentic\" \\\n  --output \"output-filename.png\"\n```\n\n## Example Brief (Franuí Carnaval)\n\n```\nLa campaña Franuí Carnaval captura el espíritu festivo y la alegría del carnaval brasileño \nen Copacabana. Una mujer afrobrasileña baila en medio de la multitud, sosteniendo el \nproducto Franuí Milk hacia la cámara en un gesto espontáneo y celebratorio. La escena \nestá llena de confeti, movimiento y energía. La fotografía adopta un estilo documental \ncon motion blur intencional, ángulo bajo que empodera al sujeto, y el producto como \nelemento hero en primer plano. La luz es natural de día tropical, cálida y vibrante.\n```\n\n## Example Target (Franuí Carnaval)\n\n```\nJóvenes adultos 18-35, principalmente mujeres pero inclusivo, que celebran la vida, \nla música y los momentos compartidos. Consumidores de experiencias premium que buscan \nproductos que se integren naturalmente a sus momentos de disfrute. Activos en redes \nsociales, valoran la autenticidad y la conexión cultural. Mercado: Brasil y LATAM.\n```\n\n## Important Notes\n\n### Studio Override\nThe workflow has an automatic `studio_override` that activates when no location reference is provided. This will use a white cyclorama background regardless of the brief description.\n\n**To get environmental backgrounds:**\n1. Provide a `location_ref` image, OR\n2. Set `environment_pack` to a specific environment (e.g., `beach_minimal`, `street_crosswalk`)\n\n### Priority Hierarchy\nThe system follows this priority:\n1. Talent (identity preservation) > \n2. Garments (product fidelity) > \n3. Fit > Pose > Style > Location > Branding\n\n## API Key\n\n**DO NOT pass the API key via parameter.** Leave it empty.\n\nThe API key is already configured in ComfyDeploy. Passing `--api-key` will cause authentication errors.\n\n## Troubleshooting\n\n### Imagen negra o vacía\nSi la imagen generada sale completamente negra o vacía, es el **filtro de moderación de Google\u002FGemini**. Causas comunes:\n- Se pidió una persona famosa o celebridad\n- Contenido considerado sensible por el modelo\n- La combinación de prompt + imágenes fue rechazada por políticas de contenido\n\n**Solución:** Modificar el prompt para evitar referencias a personas reales\u002Ffamosas, o cambiar elementos que puedan activar el filtro.\n","# Morpheus Fashion Design\n\nGenerate professional fashion\u002Fproduct advertising images using ComfyDeploy's Morpheus Fashion Design workflow.\n\n## ⚠️ CRITICAL RULE: NEVER USE AUTO VALUES\n\n**Configuration packs MUST NEVER be left on `auto` or `AUTO`.**\n\n`auto` = empty values = neutral, boring images with no creative direction.\n\nThe pack options listed below are **suggestions\u002Fideas**, but you can send **custom values** that better fit the brief. The goal is to select the **best possible configuration** to represent the image needed for the brief.\n\n### Pack Selection Guidelines\n\nFor EVERY generation, thoughtfully select values based on the creative brief:\n\n| Pack | How to Choose |\n|------|---------------|\n| `style_pack` | Match brand personality: luxury→`premium_restraint`, sports→`cinematic_realism`, street→`street_authentic` |\n| `camera_pack` | What camera would a real photographer use? Sports→`sony_a1`, editorial→`hasselblad_x2d`, street→`leica_m6` |\n| `lens_pack` | Portrait compression? Anamorphic? Wide? Match the shot type and mood |\n| `lighting_pack` | What's described in the brief? Golden hour? Studio? Natural window? Choose accordingly |\n| `pose_discipline_pack` | What's the model doing? Sport action→`sport_in_motion`, commercial→`commercial_front_facing` |\n| `film_texture_pack` | Warm editorial→`kodak_portra_400`, cinematic→`kodak_vision3_500t`, clean digital→`digital_clean_no_emulation` |\n| `environment_pack` | Match brief location: beach→`beach_minimal`, urban→`urban_glass_steel`, nature→provide location_ref image |\n| `color_science_pack` | Warm tones? Cool? Cinematic contrast? Select based on mood |\n| `time_weather_pack` | When does the scene happen? Golden hour? Midday? Overcast? |\n\n### Example: Oakley Snowboarding Campaign\n```python\nstyle_pack = \"cinematic_realism\"  # NOT auto - sports action needs energy\ncamera_pack = \"sony_a1\"            # Fast sports camera\nlens_pack = \"wide_distortion_controlled\"  # Capture the action\nlighting_pack = \"golden_hour_backlit\"     # Alpine dramatic lighting\npose_discipline_pack = \"sport_in_motion\"  # Rider in action\ntime_weather_pack = \"golden_hour_clear\"   # Mountain conditions\n```\n\n### Custom Values\nIf none of the preset options fit, you can write your own value as a descriptive string:\n```python\nlighting_pack = \"harsh alpine midday sun reflecting off fresh powder\"\nenvironment_pack = \"snowpark with metal rails and pristine packed snow\"\n```\n\n## Overview\n\nMorpheus Fashion Design is a comprehensive AI workflow for creating high-quality commercial photography with:\n- Product integration\n- Model face consistency\n- Professional lighting and camera settings\n- Brand-aligned creative direction\n\n## API Details\n\n**Endpoint:** `https:\u002F\u002Fapi.comfydeploy.com\u002Fapi\u002Frun\u002Fdeployment\u002Fqueue`\n**Deployment ID:** `79324c61-6bd4-4218-a438-73f1b28c24a7`\n\n## Required Inputs\n\n### Images (must be URLs)\n1. **product** - Product image URL (the item being advertised)\n2. **model** - Model face reference (frontal face photo)\n3. **logo** - Brand logo (optional, use placeholder if not needed)\n\n## ? Model Catalog\n\nA curated catalog of 114 AI-generated model references is available for use when no specific model is provided.\n\n### Repository\n**GitHub:** `https:\u002F\u002Fgithub.com\u002FPauldeLavallaz\u002Fmodel_management`\n\n### ⚠️ PRIORITY: User-provided model ALWAYS wins\nIf the user attaches\u002Fprovides a model image → use that image directly. The catalog is ONLY for when no model is specified.\n\n### Setup (First Time Installation)\n```bash\n# Clone the catalog to your workspace\ngit clone https:\u002F\u002Fgithub.com\u002FPauldeLavallaz\u002Fmodel_management.git models-catalog\n```\n\n### Update Catalog\n```bash\ncd models-catalog && git pull\n```\n\n### Local Path (if already cloned)\n`~\u002Fclawd\u002Fmodels-catalog\u002Fcatalog\u002Fimages\u002F`\n\n### Catalog Structure\n```\nmodels-catalog\u002F\n└── catalog\u002F\n    ├── catalog.json      # Full metadata for all models\n    └── images\u002F           # Model reference photos (model_01.jpg - model_114.jpg)\n```\n\n### Using the Catalog\n\n**Priority order for model selection:**\n1. **User provides model image** → Use that image directly\n2. **User describes desired model** → Search catalog and select best match\n3. **No specification** → Select appropriate model based on campaign brief\n\n### Searching the Catalog\n```bash\n# List all models with basic info\ncat models-catalog\u002Fcatalog\u002Fcatalog.json | jq '[.talents[] | {id, name, gender, ethnicity, tags: .tags[0:2]}]'\n\n# Find models by ethnicity\ncat models-catalog\u002Fcatalog\u002Fcatalog.json | jq '[.talents[] | select(.ethnicity == \"hispanic\") | {id, name, description}]'\n\n# Find models by tag\ncat models-catalog\u002Fcatalog\u002Fcatalog.json | jq '[.talents[] | select(.tags[] == \"commercial\") | {id, name, ethnicity}]'\n\n# Find models by gender\ncat models-catalog\u002Fcatalog\u002Fcatalog.json | jq '[.talents[] | select(.gender == \"male\") | {id, name, ethnicity}]'\n```\n\n### Model Attributes\nEach model entry includes:\n- `id`: Unique identifier (model_01, model_02, etc.)\n- `name`: Model name\n- `gender`: female, male, non-binary\n- `ethnicity`: african, asian, caucasian, hispanic, mixed, etc.\n- `age_group`: young_adult, adult, mature\n- `tags`: editorial, commercial, beauty, lifestyle, avant-garde, etc.\n- `description`: Detailed description of look and best uses\n- `image_path`: Path to reference image\n\n### Example: Selecting a Model\n```bash\n# For an Argentine campo\u002Fgaucho campaign, find hispanic females with commercial tags:\ncat models-catalog\u002Fcatalog\u002Fcatalog.json | jq '[.talents[] | select(.ethnicity == \"hispanic\" and .gender == \"female\" and (.tags[] == \"commercial\" or .tags[] == \"lifestyle\")) | {id, name, description}]'\n\n# Then use the selected model:\n--model \"models-catalog\u002Fcatalog\u002Fimages\u002Fmodel_08.jpg\"\n```\n\n### Creative Brief\n1. **brief** - Detailed campaign description including:\n   - Scene\u002Flocation description\n   - Model pose and action\n   - Product placement and interaction\n   - Lighting and mood\n   - Camera technique\n   - Visual style\n\n2. **target** - Target audience description including:\n   - Demographics\n   - Psychographics\n   - Interests and lifestyle\n\n### Configuration Packs\n\n| Pack | Options |\n|------|---------|\n| `style_pack` | auto, premium_restraint, editorial_precision, cinematic_realism, cinematic_memory, campaign_hero, product_truth, clean_commercial, street_authentic, archive_fashion, experimental_authorial |\n| `shot_pack` | auto, full_body_wide, medium_shot, close_up, low_angle_hero, three_quarter, waist_up, etc. |\n| `camera_pack` | auto, arri_alexa35, canon_r5, hasselblad_x2d, leica_m6, sony_a1, etc. |\n| `lens_pack` | auto, cooke_anamorphic_i_50, leica_noctilux_50, zeiss_otus_55, etc. |\n| `lighting_pack` | auto, golden_hour_backlit, natural_window, studio_three_point, etc. |\n| `pose_discipline_pack` | auto, commercial_front_facing, street_style_candid_walk, sport_in_motion, etc. |\n| `film_texture_pack` | auto, kodak_portra_400, fujifilm_velvia_50, digital_clean_no_emulation, etc. |\n| `color_science_pack` | auto, neutral_premium_clean, warm_golden_editorial, cinematic_low_contrast, etc. |\n| `environment_pack` | AUTO, beach_minimal, urban_glass_steel, street_crosswalk, etc. |\n| `time_weather_pack` | auto, golden_hour_clear, bright_midday_sun, overcast_winter_daylight, etc. |\n| `branding_pack` | logo_none, logo_discreet_lower, logo_top_corner, logo_center_watermark, logo_integrated |\n| `intent` | auto, awareness, consideration, conversion, retention |\n| `aspect_ratio` | 9:16, 16:9, 1:1, 4:5, 5:4, 3:4, 4:3 |\n\n## Workflow Process\n\n1. **Receive request** with brand\u002Fproduct info\n2. **Design brief** aligned with brand identity and campaign goals\n3. **Define target audience** with demographics and psychographics\n4. **Prepare images**:\n   - Download product image(s)\n   - Download\u002Ffind model reference (frontal face)\n   - Upload to ComfyDeploy storage to get URLs\n5. **Select packs** based on creative direction\n6. **Submit job** and poll for completion\n7. **Deliver results**\n\n## Usage\n\n```bash\nuv run ~\u002F.clawdbot\u002Fskills\u002Fmorpheus-fashion-design\u002Fscripts\u002Fgenerate.py \\\n  --product \"path\u002Fto\u002Fproduct.jpg\" \\\n  --model \"path\u002Fto\u002Fmodel-face.jpg\" \\\n  --brief \"Campaign brief text...\" \\\n  --target \"Target audience description...\" \\\n  --aspect-ratio \"4:5\" \\\n  --style-pack \"street_authentic\" \\\n  --output \"output-filename.png\"\n```\n\n## Example Brief (Franuí Carnaval)\n\n```\nLa campaña Franuí Carnaval captura el espíritu festivo y la alegría del carnaval brasileño \nen Copacabana. Una mujer afrobrasileña baila en medio de la multitud, sosteniendo el \nproducto Franuí Milk hacia la cámara en un gesto espontáneo y celebratorio. La escena \nestá llena de confeti, movimiento y energía. La fotografía adopta un estilo documental \ncon motion blur intencional, ángulo bajo que empodera al sujeto, y el producto como \nelemento hero en primer plano. La luz es natural de día tropical, cálida y vibrante.\n```\n\n## Example Target (Franuí Carnaval)\n\n```\nJóvenes adultos 18-35, principalmente mujeres pero inclusivo, que celebran la vida, \nla música y los momentos compartidos. Consumidores de experiencias premium que buscan \nproductos que se integren naturalmente a sus momentos de disfrute. Activos en redes \nsociales, valoran la autenticidad y la conexión cultural. Mercado: Brasil y LATAM.\n```\n\n## Important Notes\n\n### Studio Override\nThe workflow has an automatic `studio_override` that activates when no location reference is provided. This will use a white cyclorama background regardless of the brief description.\n\n**To get environmental backgrounds:**\n1. Provide a `location_ref` image, OR\n2. Set `environment_pack` to a specific environment (e.g., `beach_minimal`, `street_crosswalk`)\n\n### Priority Hierarchy\nThe system follows this priority:\n1. Talent (identity preservation) > \n2. Garments (product fidelity) > \n3. Fit > Pose > Style > Location > Branding\n\n## API Key\n\n**DO NOT pass the API key via parameter.** Leave it empty.\n\nThe API key is already configured in ComfyDeploy. Passing `--api-key` will cause authentication errors.\n\n## Troubleshooting\n\n### Imagen negra o vacía\nSi la imagen generada sale completamente negra o vacía, es el **filtro de moderación de Google\u002FGemini**. Causas comunes:\n- Se pidió una persona famosa o celebridad\n- Contenido considerado sensible por el modelo\n- La combinación de prompt + imágenes fue rechazada por políticas de contenido\n\n**Solución:** Modificar el prompt para evitar referencias a personas reales\u002Ffamosas, o cambiar elementos que puedan activar el filtro.\n",{"name":5,"description":7},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fpauldelavallaz\u002Fmorpheus-fashion-design",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":8,"skillName":5,"commands":61,"prompt":71,"zipAvailable":72},[62,65,68],{"tool":63,"command":64},"npx","npx skills add kbarbel640-del\u002Fskills --skill morpheus-fashion-design",{"tool":66,"command":67},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill morpheus-fashion-design",{"tool":69,"command":70},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill morpheus-fashion-design","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fpauldelavallaz\u002Fmorpheus-fashion-design\u002FSKILL.md",true,[74,80],{"path":75,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":78,"sourceHtmlUrl":79},"_meta.json","REFERENCE","参考文档",306,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fpauldelavallaz\u002Fmorpheus-fashion-design\u002F_meta.json",{"path":81,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":84,"sourceHtmlUrl":85},"scripts\u002Fgenerate.py","SCRIPT","脚本",10256,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fpauldelavallaz\u002Fmorpheus-fashion-design\u002Fscripts\u002Fgenerate.py",[87,116,140,161,167,187],{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":96,"publishedAt":48},"01M6G8J55967D6281ACMKAKTEQ","crowd-prompting","A marketplace where AI agents improve prompts, system instructions, tool descriptions, and other text-based content with domain expertise from real-world operations — and earn tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[93],{"categoryNo":94,"categoryName":95,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000036","内容创作者",[97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115],"crowd prompting","prompting","api","with","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":125,"publishedAt":48},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[122],{"categoryNo":123,"categoryName":124,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[126,99,127,128,129,130,46,131,132,133,134,30,135,136,137,138,139,104,39],"dilemm ai","arena","analyze","browser","openclaw agent","automation","browser automation","bot","openclaw","strategy","headless","compete","submit","matchmaking",{"skillNo":141,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":144,"categories":145,"keywords":149,"publishedAt":48},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, or submitting paper reviews via API at http:\u002F\u002F150.158.152.82:8000.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Fweak-accept\u002FSKILL.md",[146],{"categoryNo":147,"categoryName":148,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究",[150,151,152,153,154,155,156,100,157,138,39,158,99,159,160],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":162,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":166,"publishedAt":48},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[165],{"categoryNo":147,"categoryName":148,"taxonomyType":20,"taxonomyTypeDesc":21},[153,152,151,150,160,155,156,100,154,138,39,157,158,99,159],{"skillNo":168,"name":169,"nameZh":6,"description":170,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":173,"publishedAt":48},"01M6G8HM95Y64JNVFC2HN4E2BG","git-summary","Get a quick summary of the current Git repository including status, recent commits, branches, and contributors.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzweack\u002Fgit-summary\u002FSKILL.md",[],[174,175,176,177,178,179,180,181,182,183,184,185,186],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":188,"name":189,"nameZh":6,"description":190,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":191,"categories":192,"keywords":197,"publishedAt":48},"01M6G8HGEGF05CNEJCGVYFSC4R","agent-constitution","Interact with AgentConstitution governance contracts on Base Sepolia. Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[193,194],{"categoryNo":123,"categoryName":124,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":195,"categoryName":196,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000037","律师与法务",[198,199,200,201,100,202,203,53,204,158,205,206,207,208,209,113,210,211,212],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]