AI Fashion Lookbook

AI Fashion Lookbook

Generate complete fashion lookbook imagery and layouts using each::sense — the intelligent AI agent that automatically selects the best model for your request.

Quick Start

Requires an each::labs API key. Get one at eachlabs.ai.

Using curl

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "A fashion lookbook photo: a model wearing a flowing maxi dress in terracotta, walking through a sunlit olive grove in Tuscany. Wind catching the fabric, golden hour, editorial photography, full body shot, warm color grading, Vogue style"
      }
    ],
    "stream": false
  }'

Using Python (OpenAI SDK)

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_EACHLABS_API_KEY",
    base_url="https://eachsense-agent.core.eachlabs.run/v1"
)

response = client.chat.completions.create(
    model="eachsense/beta",
    messages=[{
        "role": "user",
        "content": "A fashion lookbook photo: a model wearing a flowing maxi dress in terracotta, walking through a sunlit olive grove in Tuscany. Wind catching the fabric, golden hour, editorial photography, full body shot, warm color grading, Vogue style"
    }]
)

print(response.choices[0].message.content)

With Reference Image

Provide a mood board or sample look for the collection aesthetic:

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": [
              {"type": "text", "text": "Create a lookbook photo matching this mood and color palette. A model in a structured wool coat and turtleneck, same visual tone and lighting style as the reference. Urban winter setting, overcast sky, editorial fashion photography."},
              {"type": "image_url", "image_url": {"url": "https://example.com/mood-board.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

Images are sent inside messages using the OpenAI multimodal content format. Maximum 4 images per request.

Streaming

Set "stream": true for real-time SSE responses, or "stream": false for complete result in a single response. Streaming is useful for showing progress in UIs; non-streaming is simpler for scripts and automation.

Lookbook Themes

Prompt Engineering Tips

Prompt Structure

"A fashion lookbook photo:" + [model description] + [outfit details] + [setting/location] + [mood/atmosphere] + [photography style] + [camera details]

Consistency Across Looks

For a cohesive lookbook, keep these elements constant across all prompts:

• Location type (same setting or setting category)
• Lighting (golden hour, overcast, studio)
• Color grading (warm, cool, desaturated)
• Photography style (editorial, commercial, street)
• Model description (same height, hair, build)

Examples

Look 1 — Hero Shot

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "A fashion lookbook hero shot: a tall female model with slicked-back dark hair wearing a sculptural white blazer with exaggerated shoulders over a matching wide-leg trouser. Standing on a rooftop overlooking a city at dusk. Dramatic side lighting, strong shadow, high fashion editorial, shot from low angle, desaturated teal and warm amber color grade"
      }
    ],
    "stream": false
  }'

Look 2 — Detail Close-Up

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "A fashion lookbook detail shot: close-up on hands adjusting the cuff of a cream silk blouse, delicate pearl button visible, soft natural light from a window, shallow depth of field, minimal warm-toned editorial photography, macro lens feel"
      }
    ],
    "stream": false
  }'

Look 3 — Lifestyle Context

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "A fashion lookbook lifestyle shot: a model in a camel cashmere overcoat and cream scarf, walking through a misty Parisian street with bare autumn trees. Candid mid-stride movement, film photography aesthetic with slight grain, warm desaturated tones, full body shot"
      }
    ],
    "stream": false
  }'

Collection Workflow: Seasonal Lookbook

COLLECTION_THEME="Autumn/Winter collection, Nordic minimalism, muted earth tones, overcast natural light, editorial fashion photography"

LOOKS=(
  "Look 1: oversized charcoal wool coat over cream cable-knit sweater and dark brown leather trousers, standing in a birch forest"
  "Look 2: camel turtleneck dress belted at the waist with cognac leather boots, seated on a concrete bench in an urban park"
  "Look 3: layered outfit — grey knit vest over white poplin shirt with wide olive trousers, walking along a misty lakefront"
  "Look 4: black tailored suit with an open-neck silk shirt in ivory, leaning against a steel railing at a modernist building"
  "Look 5: chunky cream fisherman sweater with a long pleated skirt in heather grey, standing on weathered wooden pier"
)

for LOOK in "${LOOKS[@]}"; do
  curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
    -H "Content-Type: application/json" \
    -H "X-API-Key: $EACHLABS_API_KEY" \
    -d "{
      \"messages\": [{\"role\": \"user\", \"content\": \"A fashion lookbook photo: female model with short auburn hair, $LOOK. $COLLECTION_THEME, full body shot, Vogue Scandinavia style\"}],
      \"stream\": false
    }"
  echo "=== $LOOK ==="
done

Shot List for a Complete Lookbook

1. Hero / Cover — full body, dramatic composition, establishes the collection mood
2. Full Length Front — clean front-facing shot showing complete outfit
3. Three-Quarter Turn — shows garment from an angled perspective
4. Detail Close-Up — fabric texture, buttons, stitching, jewelry
5. Back View — reveals back design elements
6. Lifestyle / Movement — model walking, turning, interacting with environment
7. Group / Pairing — two looks styled together for contrast

Common Pitfalls

• Inconsistent model across shots — repeat the exact same model description in every prompt.
• Mixed photography styles — keep the same camera, lighting, and grading keywords throughout.
• Overly complex backgrounds that distract from the garments. The setting should complement, not compete.
• Ignoring negative space — lookbooks need breathing room for text overlays in final layout.

Related Skills

• AI Fashion Model — Individual model shots
• AI Outfit Generator — Outfit creation and styling
• AI Fabric Pattern — Custom textile designs
• AI Clothing Try-On — Virtual try-on for real people

Related Models

• flux-2-max — Highest quality image generation
• seedream-v4-5 — Creative and artistic styles
• nano-banana-pro — Fast iterations

Documentation

• each::sense Overview
• each::labs API