Skill

eachlabs-fashion-ai

Generate fashion model imagery, virtual try-on, runway videos, and campaign visuals using EachLabs AI. Use when the user needs fashion content, model photography, or virtual try-on.

Install

npx claudepluginhub joshuarweaver/cascade-content-creation-misc-1 --plugin eachlabs-skills

Tool Access

This skill uses the workspace's default tool permissions.

Preview

Generate AI fashion model imagery, virtual try-on experiences, runway content, and campaign visuals using EachLabs models.

Supporting Assets

references/MODELS.md

SKILL.md

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Last CommitFeb 9, 2026

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EachLabs Fashion AI

Generate AI fashion model imagery, virtual try-on experiences, runway content, and campaign visuals using EachLabs models.

Authentication

Header: X-API-Key: <your-api-key>

Set the EACHLABS_API_KEY environment variable. Get your key at eachlabs.ai.

Recommended Models

Image Generation & Editing

Task	Model	Slug
Fashion model generation	GPT Image v1.5	`gpt-image-v1-5-text-to-image`
Virtual try-on (best)	Kolors Virtual Try-On	`kling-v1-5-kolors-virtual-try-on`
Virtual try-on (alt)	IDM VTON	`idm-vton`
Garment on model	Wan v2.6 Image-to-Image	`wan-v2-6-image-to-image`
Model photoshoot	Product Photo to Modelshoot	`product-photo-to-modelshoot`
Photoshoot styling	Nano Banana Pro Photoshoot	`nano-banana-pro-photoshoot`
Face/look consistency	Omni Zero	`omni-zero`
Character consistency	Ideogram Character	`ideogram-character`
Photomaker	Photomaker	`photomaker`
Photomaker Style	Photomaker Style	`photomaker-style`
Avatar generation	Instant ID	`instant-id`
Soul styling	Higgsfield AI Soul	`higgsfield-ai-soul`
Become image	Become Image	`become-image`

Training

Task	Model	Slug
Brand style training	Z Image Trainer	`z-image-trainer`
Portrait LoRA	Flux LoRA Portrait Trainer	`flux-lora-portrait-trainer`

Video

Task	Model	Slug
Runway video	Pixverse v5.6 Image-to-Video	`pixverse-v5-6-image-to-video`
Catwalk animation	Bytedance Omnihuman v1.5	`bytedance-omnihuman-v1-5`
Motion reference	Kling v2.6 Pro Motion	`kling-v2-6-pro-motion-control`

Prediction Flow

Check model GET https://api.eachlabs.ai/v1/model?slug=<slug> — validates the model exists and returns the request_schema with exact input parameters. Always do this before creating a prediction to ensure correct inputs.
POST https://api.eachlabs.ai/v1/prediction with model slug, version "0.0.1", and input matching the schema
Poll GET https://api.eachlabs.ai/v1/prediction/{id} until status is "success" or "failed"
Extract output URL from response

Workflows

AI Fashion Model Generation

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "gpt-image-v1-5-text-to-image",
    "version": "0.0.1",
    "input": {
      "prompt": "Professional fashion model wearing a tailored navy blazer, editorial photography, studio lighting, full body shot, neutral background",
      "image_size": "1024x1536",
      "quality": "high"
    }
  }'

Virtual Try-On

Combine a garment image with a model image:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "wan-v2-6-image-to-image",
    "version": "0.0.1",
    "input": {
      "prompt": "The person in image 1 wearing the clothing from image 2, professional fashion photography, editorial style",
      "image_urls": ["https://example.com/model.jpg", "https://example.com/garment.jpg"],
      "image_size": "portrait_4_3"
    }
  }'

Runway / Catwalk Video

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "pixverse-v5-6-image-to-video",
    "version": "0.0.1",
    "input": {
      "image_url": "https://example.com/fashion-model.jpg",
      "prompt": "Fashion model walking confidently on a runway, camera follows from front, professional fashion show lighting",
      "duration": "5",
      "resolution": "1080p"
    }
  }'

Catwalk with Motion Reference

Use a real runway walk as motion reference:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "kling-v2-6-pro-motion-control",
    "version": "0.0.1",
    "input": {
      "image_url": "https://example.com/fashion-model.jpg",
      "video_url": "https://example.com/runway-walk-reference.mp4",
      "character_orientation": "video"
    }
  }'

Brand Style Training

Train a LoRA on your brand's visual style for consistent campaign imagery:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "z-image-trainer",
    "version": "0.0.1",
    "input": {
      "image_data_url": "https://example.com/brand-photos.zip",
      "default_caption": "brand editorial fashion photography style",
      "training_type": "style",
      "steps": 1500
    }
  }'

Prompt Tips for Fashion

Specify pose: "full body shot", "half body", "close-up on garment details"
Include lighting: "editorial studio lighting", "natural light", "dramatic side lighting"
Mention style: "editorial", "street style", "haute couture", "casual lookbook"
For diversity: specify body types, skin tones, and ages in prompts
For consistency: use the same style keywords across a campaign series

Parameter Reference

See the eachlabs-image-generation and eachlabs-video-generation references for complete model parameters.