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eachlabs-fashion-aieachlabs 时尚 AI

Agent Skill

eachlabs-fashion-ai 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,224

周安装

176

GitHub Stars

12

下载量

1,408
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:eachlabs-fashion-ai(eachlabs 时尚 AI)
来源仓库:https://github.com/eachlabs/skills
仓库路径:skills/eachlabs-fashion-ai
安装命令:
npx skills add https://github.com/eachlabs/skills --skill eachlabs-fashion-ai
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/eachlabs/skills --skill eachlabs-fashion-ai

简介

生成 AI 时尚模特图片与虚拟试穿体验,支持 runway 与 campaign 视觉。

  • 推荐使用 gpt-image-v1-5 与 kling-v1-5-kolors-virtual-try-on 模型。
  • 需配置 EACHLABS_API_KEY 并通过 POST 请求提交生成任务。
  • 适用于电商商品展示与广告创意等需要高质量视觉素材的场景。
  • eachlabs-fashion-ai 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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.

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

39.24%
按下载量换算552

Claude

28.36%
按下载量换算399

Cursor

18.93%
按下载量换算267

Gemini CLI

10.8%
按下载量换算152

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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