Token导航 LogoToken导航TokenDH.com
待分类需要联网github未标认证来源可访问许可证需确认审计提醒

face-morphing脸部变形

Agent Skill

face-morphing 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

1,646

周安装

70

GitHub Stars

12

下载量

577
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:face-morphing(脸部变形)
来源仓库:https://github.com/eachlabs/skills
仓库路径:skills/face-morphing
安装命令:
npx skills add https://github.com/eachlabs/skills --skill face-morphing
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 face-morphing

简介

face-morphing 实现人脸融合、 celebrity morphs 与家族 resemblance 预测功能。

  • 基于 each::sense 技术生成平滑动画过渡,适用于创意娱乐类应用场景。
  • 需上传高质量人脸图像,避免低光照或遮挡情况影响融合效果。
  • 输出结果仅供艺术参考,不可用于身份伪造或其他违法用途。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Face Morphing

Transform and blend faces using each::sense. This skill enables face morphing, blending two or more faces together, predicting family resemblances, creating gender swaps, and generating smooth morph animations.

Features

  • Face Blending: Seamlessly merge two faces into one
  • Celebrity Morphs: Blend your face with celebrities
  • Family Prediction: Generate what a child might look like from parent photos
  • Couple Face Merge: Create a blended face from two partners
  • Family Resemblance: Analyze and visualize genetic similarities
  • Morph Animation: Create smooth video transitions between faces
  • Gender Swap: Transform facial features between genders
  • Ethnicity Blend: Create faces that blend multiple ethnicities
  • Historical Modernization: Update historical figure faces to modern style
  • Average Face: Generate an average face from multiple inputs

Quick Start

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Morph these two faces together into a seamless blend, 50% each"}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": [
      "https://example.com/face1.jpg",
      "https://example.com/face2.jpg"
    ],
    "mode": "max"
  }'

Use Case Examples

1. Morph Two Faces Together

Basic face morphing that blends two faces into one unified result.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Morph these two faces together. Create a seamless blend that takes facial structure from the first image and some features like eyes and nose from the second image. Make it look natural and realistic."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": [
      "https://example.com/person-a.jpg",
      "https://example.com/person-b.jpg"
    ],
    "mode": "max"
  }'

2. Celebrity Face Blend

Blend a user photo with a celebrity face for fun transformations.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Blend my face with this celebrity photo. Create a 50/50 morph that combines my facial structure with their features. Keep the result looking like a real person, not artificial."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": [
      "https://example.com/my-photo.jpg",
      "https://example.com/celebrity.jpg"
    ],
    "mode": "max"
  }'

3. Parent + Child Prediction

Generate what a child might look like based on two parent photos.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Based on these two parent photos, generate what their child might look like. Create a baby/toddler face that naturally combines features from both parents - take eye shape from the first parent, nose structure from the second, and blend skin tones appropriately. Make it look like a realistic child portrait."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": [
      "https://example.com/parent1.jpg",
      "https://example.com/parent2.jpg"
    ],
    "mode": "max"
  }'

4. Couple Face Merge

Create a merged face from a couple's photos.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Merge these two faces from a couple into one face. The result should look like a single person who has balanced features from both individuals. Keep natural proportions and make it look like a genuine portrait photo."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": [
      "https://example.com/partner1.jpg",
      "https://example.com/partner2.jpg"
    ],
    "mode": "max"
  }'

5. Family Resemblance Generator

Visualize genetic similarities across family members.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Analyze these family member photos and create a face that represents the family resemblance - the common features shared across all family members. Highlight the genetic similarities in bone structure, eye shape, and facial proportions."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": [
      "https://example.com/family-member1.jpg",
      "https://example.com/family-member2.jpg",
      "https://example.com/family-member3.jpg"
    ],
    "mode": "max"
  }'

6. Gradual Morph Animation

Create a smooth video transition morphing from one face to another.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a gradual morph animation video that smoothly transitions from the first face to the second face over 3 seconds. The transformation should be fluid and show intermediate blended states between both faces. Output as a video."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": [
      "https://example.com/start-face.jpg",
      "https://example.com/end-face.jpg"
    ],
    "mode": "max"
  }'

7. Gender Swap

Transform facial features to appear as a different gender.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Transform this face to show how the person might look as a different gender. Adjust facial features like jawline, brow ridge, cheekbones, and add appropriate hair and makeup while maintaining recognizable features from the original person."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": [
      "https://example.com/original-face.jpg"
    ],
    "mode": "max"
  }'

8. Ethnicity Blend

Create a face that blends features from multiple ethnicities.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Blend these faces from different ethnic backgrounds into a single harmonious face. Create a natural-looking result that represents a mix of features from each source face - taking skin tone, eye shape, nose structure, and facial proportions from different inputs."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": [
      "https://example.com/face-ethnicity1.jpg",
      "https://example.com/face-ethnicity2.jpg",
      "https://example.com/face-ethnicity3.jpg"
    ],
    "mode": "max"
  }'

9. Historical Figure Modernization

Transform a historical portrait to modern photographic style.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Take this historical portrait and modernize it. Transform the face to show how this historical figure would look in a modern photograph - update the lighting to contemporary photography style, adjust skin texture to look photorealistic, and give them a modern hairstyle while preserving their distinctive facial features."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": [
      "https://example.com/historical-portrait.jpg"
    ],
    "mode": "max"
  }'

10. Create Average Face from Multiple Photos

Generate an average face that combines features from multiple input faces.

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create an average face from all these input photos. Blend the facial features mathematically to produce a single face that represents the statistical average of all inputs - averaged bone structure, feature placement, skin tone, and proportions."}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": [
      "https://example.com/face1.jpg",
      "https://example.com/face2.jpg",
      "https://example.com/face3.jpg",
      "https://example.com/face4.jpg",
      "https://example.com/face5.jpg"
    ],
    "mode": "max"
  }'

Multi-Turn Creative Iteration

Use session_id to refine and iterate on face morphs:

# Initial morph
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Morph these two faces together with a 50/50 blend"}],
    "model": "eachsense/beta",
    "stream": true,
    "image_urls": [
      "https://example.com/face-a.jpg",
      "https://example.com/face-b.jpg"
    ],
    "session_id": "morph-project-001"
  }'

# Adjust the blend ratio
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Adjust the blend to be 70% first face and 30% second face"}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "morph-project-001"
  }'

# Request specific feature adjustments
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Keep the eyes from the first face but use the jawline from the second face"}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "morph-project-001"
  }'

Mode Selection

Ask your users before generating:

"Do you want fast & cheap, or high quality?"

ModeBest ForSpeedQuality
maxFinal morph outputs, detailed blends, animationsSlowerHighest
ecoQuick previews, testing different combinationsFasterGood

Best Practices

Input Image Quality

  • Resolution: Use high-resolution face photos (at least 512x512)
  • Lighting: Consistent lighting across input images produces better blends
  • Face Position: Front-facing photos with similar angles work best
  • Background: Clean backgrounds help isolate facial features

Morph Quality Tips

  • Similar poses: Input faces with similar head positions morph better
  • Clear features: Avoid obscured faces (sunglasses, hands covering face)
  • Age consistency: For family predictions, consider parent ages at time of photos
  • Multiple runs: Try different prompts to find the best blend style

Animation Considerations

  • Frame count: More frames create smoother transitions
  • Duration: 2-5 seconds is ideal for morph animations
  • Loop-friendly: Request seamless loops for social media use

Prompt Tips for Face Morphing

When creating face morphs, include these details in your prompt:

  1. Blend Ratio: Specify the percentage blend (50/50, 70/30, etc.)
  2. Feature Focus: Which features to take from which face
  3. Output Type: Image or video animation
  4. Style: Realistic, artistic, exaggerated, etc.
  5. Age Target: For child predictions, specify desired age

Example Prompt Structure

"[Action] these faces with [blend ratio].
Take [features] from the first face and [features] from the second.
Output as [image/video]. Make it look [style descriptor]."

Error Handling

ErrorCauseSolution
Failed to create prediction: HTTP 422Insufficient balanceTop up at eachlabs.ai
No face detectedInput image has no clear faceUse a clearer face photo
Face alignment failedFaces too different in angleUse photos with similar head positions
TimeoutComplex generationSet client timeout to minimum 10 minutes

Related Skills

  • each-sense - Core API documentation
  • face-swap - Swap faces between images
  • image-generation - Generate faces from text descriptions
  • video-generation - Create face animation videos

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

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

35.67%
按下载量换算206

Claude

30.94%
按下载量换算179

Cursor

19.68%
按下载量换算114

Gemini CLI

10.31%
按下载量换算59

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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

继续浏览同类 Skills