Generate professional fashion/product 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/lighting simulation.
Generate professional fashion/product advertising images using ComfyDeploy's Morpheus Fashion Design workflow.
Configuration packs MUST NEVER be left on auto or AUTO.
auto = empty values = neutral, boring images with no creative direction.
The pack options listed below are suggestions/ideas, 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.
For EVERY generation, thoughtfully select values based on the creative brief:
| Pack | How to Choose |
|---|---|
style_pack | Match brand personality: luxury→premium_restraint, sports→cinematic_realism, street→street_authentic |
camera_pack |
What camera would a real photographer use? Sports→sony_a1, editorial→hasselblad_x2d, street→leica_m6 |
lens_pack | Portrait compression? Anamorphic? Wide? Match the shot type and mood |
lighting_pack | What's described in the brief? Golden hour? Studio? Natural window? Choose accordingly |
pose_discipline_pack | What's the model doing? Sport action→sport_in_motion, commercial→commercial_front_facing |
film_texture_pack | Warm editorial→kodak_portra_400, cinematic→kodak_vision3_500t, clean digital→digital_clean_no_emulation |
environment_pack | Match brief location: beach→beach_minimal, urban→urban_glass_steel, nature→provide location_ref image |
color_science_pack | Warm tones? Cool? Cinematic contrast? Select based on mood |
time_weather_pack | When does the scene happen? Golden hour? Midday? Overcast? |
style_pack = "cinematic_realism" # NOT auto - sports action needs energy
camera_pack = "sony_a1" # Fast sports camera
lens_pack = "wide_distortion_controlled" # Capture the action
lighting_pack = "golden_hour_backlit" # Alpine dramatic lighting
pose_discipline_pack = "sport_in_motion" # Rider in action
time_weather_pack = "golden_hour_clear" # Mountain conditions
If none of the preset options fit, you can write your own value as a descriptive string:
lighting_pack = "harsh alpine midday sun reflecting off fresh powder"
environment_pack = "snowpark with metal rails and pristine packed snow"
Morpheus Fashion Design is a comprehensive AI workflow for creating high-quality commercial photography with:
Endpoint: https://api.comfydeploy.com/api/run/deployment/queue
Deployment ID: 79324c61-6bd4-4218-a438-73f1b28c24a7
A curated catalog of 114 AI-generated model references is available for use when no specific model is provided.
GitHub: https://github.com/PauldeLavallaz/model_management
If the user attaches/provides a model image → use that image directly. The catalog is ONLY for when no model is specified.
# Clone the catalog to your workspace
git clone https://github.com/PauldeLavallaz/model_management.git models-catalog
cd models-catalog && git pull
~/clawd/models-catalog/catalog/images/
models-catalog/
└── catalog/
├── catalog.json # Full metadata for all models
└── images/ # Model reference photos (model_01.jpg - model_114.jpg)
Priority order for model selection:
# List all models with basic info
cat models-catalog/catalog/catalog.json | jq '[.talents[] | {id, name, gender, ethnicity, tags: .tags[0:2]}]'
# Find models by ethnicity
cat models-catalog/catalog/catalog.json | jq '[.talents[] | select(.ethnicity == "hispanic") | {id, name, description}]'
# Find models by tag
cat models-catalog/catalog/catalog.json | jq '[.talents[] | select(.tags[] == "commercial") | {id, name, ethnicity}]'
# Find models by gender
cat models-catalog/catalog/catalog.json | jq '[.talents[] | select(.gender == "male") | {id, name, ethnicity}]'
Each model entry includes:
id: Unique identifier (model_01, model_02, etc.)name: Model namegender: female, male, non-binaryethnicity: african, asian, caucasian, hispanic, mixed, etc.age_group: young_adult, adult, maturetags: editorial, commercial, beauty, lifestyle, avant-garde, etc.description: Detailed description of look and best usesimage_path: Path to reference image# For an Argentine campo/gaucho campaign, find hispanic females with commercial tags:
cat models-catalog/catalog/catalog.json | jq '[.talents[] | select(.ethnicity == "hispanic" and .gender == "female" and (.tags[] == "commercial" or .tags[] == "lifestyle")) | {id, name, description}]'
# Then use the selected model:
--model "models-catalog/catalog/images/model_08.jpg"
brief - Detailed campaign description including:
target - Target audience description including:
| Pack | Options |
|---|---|
style_pack | auto, premium_restraint, editorial_precision, cinematic_realism, cinematic_memory, campaign_hero, product_truth, clean_commercial, street_authentic, archive_fashion, experimental_authorial |
shot_pack | auto, full_body_wide, medium_shot, close_up, low_angle_hero, three_quarter, waist_up, etc. |
camera_pack | auto, arri_alexa35, canon_r5, hasselblad_x2d, leica_m6, sony_a1, etc. |
lens_pack | auto, cooke_anamorphic_i_50, leica_noctilux_50, zeiss_otus_55, etc. |
lighting_pack | auto, golden_hour_backlit, natural_window, studio_three_point, etc. |
pose_discipline_pack | auto, commercial_front_facing, street_style_candid_walk, sport_in_motion, etc. |
film_texture_pack | auto, kodak_portra_400, fujifilm_velvia_50, digital_clean_no_emulation, etc. |
color_science_pack | auto, neutral_premium_clean, warm_golden_editorial, cinematic_low_contrast, etc. |
environment_pack | AUTO, beach_minimal, urban_glass_steel, street_crosswalk, etc. |
time_weather_pack | auto, golden_hour_clear, bright_midday_sun, overcast_winter_daylight, etc. |
branding_pack | logo_none, logo_discreet_lower, logo_top_corner, logo_center_watermark, logo_integrated |
intent | auto, awareness, consideration, conversion, retention |
aspect_ratio | 9:16, 16:9, 1:1, 4:5, 5:4, 3:4, 4:3 |
uv run ~/.clawdbot/skills/morpheus-fashion-design/scripts/generate.py \
--product "path/to/product.jpg" \
--model "path/to/model-face.jpg" \
--brief "Campaign brief text..." \
--target "Target audience description..." \
--aspect-ratio "4:5" \
--style-pack "street_authentic" \
--output "output-filename.png"
La campaña Franuí Carnaval captura el espíritu festivo y la alegría del carnaval brasileño
en Copacabana. Una mujer afrobrasileña baila en medio de la multitud, sosteniendo el
producto Franuí Milk hacia la cámara en un gesto espontáneo y celebratorio. La escena
está llena de confeti, movimiento y energía. La fotografía adopta un estilo documental
con motion blur intencional, ángulo bajo que empodera al sujeto, y el producto como
elemento hero en primer plano. La luz es natural de día tropical, cálida y vibrante.
Jóvenes adultos 18-35, principalmente mujeres pero inclusivo, que celebran la vida,
la música y los momentos compartidos. Consumidores de experiencias premium que buscan
productos que se integren naturalmente a sus momentos de disfrute. Activos en redes
sociales, valoran la autenticidad y la conexión cultural. Mercado: Brasil y LATAM.
The 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.
To get environmental backgrounds:
location_ref image, ORenvironment_pack to a specific environment (e.g., beach_minimal, street_crosswalk)The system follows this priority:
DO NOT pass the API key via parameter. Leave it empty.
The API key is already configured in ComfyDeploy. Passing --api-key will cause authentication errors.
Si la imagen generada sale completamente negra o vacía, es el filtro de moderación de Google/Gemini. Causas comunes:
Solución: Modificar el prompt para evitar referencias a personas reales/famosas, o cambiar elementos que puedan activar el filtro.