EachLabs人脸交换API教程：图像与视频AI换脸技术实现指南

eachlabs-face-swap by eachlabs/skills

75 周安装量

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GitHub

安装命令

npx skills add https://github.com/eachlabs/skills --skill eachlabs-face-swap

AI/机器学习图像处理计算机视觉

🇨🇳中文介绍

EachLabs 人脸交换

使用 EachLabs Predictions API 在图像和视频之间交换人脸。

身份验证

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

设置 EACHLABS_API_KEY 环境变量。在 eachlabs.ai 获取您的密钥。

可用模型

模型	Slug	最佳用途
AI 人脸交换 V1	`aifaceswap-face-swap`	图像人脸交换
Eachlabs 人脸交换	`each-faceswap-v1`	图像人脸交换
人脸交换 (旧版)

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使用 AI 人脸交换 V1 进行图像人脸交换

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "aifaceswap-face-swap",
    "version": "0.0.1",
    "input": {
      "target_image": "https://example.com/target-photo.jpg",
      "swap_image": "https://example.com/source-face.jpg"
    }
  }'

使用 Eachlabs 进行图像人脸交换

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "each-faceswap-v1",
    "version": "0.0.1",
    "input": {
      "target_image": "https://example.com/target-photo.jpg",
      "swap_image": "https://example.com/source-face.jpg"
    }
  }'

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "faceswap-video",
    "version": "0.0.1",
    "input": {
      "target_video": "https://example.com/target-video.mp4",
      "swap_image": "https://example.com/source-face.jpg"
    }
  }'

替代方案：使用 GPT Image v1.5 Edit

基于提示词进行人脸替换：

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-edit",
    "version": "0.0.1",
    "input": {
      "prompt": "Replace the face in image 1 with the face from image 2. Keep the same pose, lighting, and expression. Maintain natural skin tone and seamless blending.",
      "image_urls": [
        "https://example.com/target-photo.jpg",
        "https://example.com/source-face.jpg"
      ],
      "quality": "high"
    }
  }'

检查模型 GET https://api.eachlabs.ai/v1/model?slug=<slug> — 验证模型是否存在，并返回包含确切输入参数的 request_schema。在创建预测之前务必执行此操作，以确保输入正确。
POST https://api.eachlabs.ai/v1/prediction，附带模型 slug、版本 "0.0.1" 以及符合 schema 的输入
轮询 GET https://api.eachlabs.ai/v1/prediction/{id} 直到状态变为 "success" 或 "failed"
提取响应中的输出图像 URL

使用高质量、人脸清晰、光照良好的源图像
源人脸图像应为清晰的正面或接近正面的肖像
源图像和目标图像的光照条件匹配会产生更自然的效果
在提示词中指定"无缝融合"和"自然肤色"
对于目标图像，人脸应清晰可见且未被严重遮挡

🇺🇸English

EachLabs Face Swap

Swap faces between images and videos using the EachLabs Predictions API.

Authentication

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

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

Available Models

Model	Slug	Best For
AI Face Swap V1	`aifaceswap-face-swap`	Image face swap
Eachlabs Face Swap	`each-faceswap-v1`	Image face swap
Face Swap (legacy)	`face-swap-new`	Image face swap
Faceswap Video	`faceswap-video`	Video face swap

Examples

Image Face Swap with AI Face Swap V1

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "aifaceswap-face-swap",
    "version": "0.0.1",
    "input": {
      "target_image": "https://example.com/target-photo.jpg",
      "swap_image": "https://example.com/source-face.jpg"
    }
  }'

Image Face Swap with Eachlabs

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "each-faceswap-v1",
    "version": "0.0.1",
    "input": {
      "target_image": "https://example.com/target-photo.jpg",
      "swap_image": "https://example.com/source-face.jpg"
    }
  }'

Video Face Swap

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "faceswap-video",
    "version": "0.0.1",
    "input": {
      "target_video": "https://example.com/target-video.mp4",
      "swap_image": "https://example.com/source-face.jpg"
    }
  }'

Alternative: Using GPT Image v1.5 Edit

For prompt-based face replacement:

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-edit",
    "version": "0.0.1",
    "input": {
      "prompt": "Replace the face in image 1 with the face from image 2. Keep the same pose, lighting, and expression. Maintain natural skin tone and seamless blending.",
      "image_urls": [
        "https://example.com/target-photo.jpg",
        "https://example.com/source-face.jpg"
      ],
      "quality": "high"
    }
  }'

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 the output image URL from the response

Tips for Best Results

Use high-quality source images with clear, well-lit faces
The source face image should be a clear frontal or near-frontal portrait
Matching lighting conditions between source and target produces more natural results
Specify "seamless blending" and "natural skin tone" in prompts
For the target image, faces should be clearly visible and not heavily occluded

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Repository

eachlabs/skills

GitHub Stars

First Seen

Feb 9, 2026

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