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.

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "eachlabs-fashion-ai" with this command: npx skills add eachlabs/skills/eachlabs-skills-eachlabs-fashion-ai

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

TaskModelSlug
Fashion model generationGPT Image v1.5gpt-image-v1-5-text-to-image
Virtual try-on (best)Kolors Virtual Try-Onkling-v1-5-kolors-virtual-try-on
Virtual try-on (alt)IDM VTONidm-vton
Garment on modelWan v2.6 Image-to-Imagewan-v2-6-image-to-image
Model photoshootProduct Photo to Modelshootproduct-photo-to-modelshoot
Photoshoot stylingNano Banana Pro Photoshootnano-banana-pro-photoshoot
Face/look consistencyOmni Zeroomni-zero
Character consistencyIdeogram Characterideogram-character
PhotomakerPhotomakerphotomaker
Photomaker StylePhotomaker Stylephotomaker-style
Avatar generationInstant IDinstant-id
Soul stylingHiggsfield AI Soulhiggsfield-ai-soul
Become imageBecome Imagebecome-image

Training

TaskModelSlug
Brand style trainingZ Image Trainerz-image-trainer
Portrait LoRAFlux LoRA Portrait Trainerflux-lora-portrait-trainer

Video

TaskModelSlug
Runway videoPixverse v5.6 Image-to-Videopixverse-v5-6-image-to-video
Catwalk animationBytedance Omnihuman v1.5bytedance-omnihuman-v1-5
Motion referenceKling v2.6 Pro Motionkling-v2-6-pro-motion-control

Prediction Flow

  1. 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.
  2. POST https://api.eachlabs.ai/v1/prediction with model slug, version "0.0.1", and input matching the schema
  3. Poll GET https://api.eachlabs.ai/v1/prediction/{id} until status is "success" or "failed"
  4. 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.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

poster-design-generation

No summary provided by upstream source.

Repository SourceNeeds Review
General

eachlabs-image-edit

No summary provided by upstream source.

Repository SourceNeeds Review
General

subtitle-generation

No summary provided by upstream source.

Repository SourceNeeds Review
General

instagram-content-generation

No summary provided by upstream source.

Repository SourceNeeds Review