atlascloud/face-swap-image

bildverktyg

Face Swap API by Atlas Cloud

atlascloud/face-swap-image

Face-swap-image

Swap a face onto any photo. The facial identity is transferred while pose, clothing and background stay intact.

Inmatning

Source Face *

Du kan dra och släppa filer här eller klicka för att ladda upp

MAX:1

Target Image *

Du kan dra och släppa filer här eller klicka för att ladda upp

MAX:1

Storlek

Output Format

Utmatning

Vilande

Dina genererade bilder visas här

Konfigurera parametrar och klicka på Kör för att börja generera

Varje körning kostar $0.09. För $10 kan du köra cirka 111 gånger.

Du kan fortsätta med:

Bild till video Bild till bild

Parametrar

Kodexempel
import requests
import time

# Step 1: Start image generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "atlascloud/face-swap-image",  # Required. Model name
    "image": "example_value",  # Required. ① 源脸 (Source Face) — 要换上去的那张脸，清晰正面照最佳
    "Image": "example_value",  # Required. ② 目标图 (Target Image) — 被换脸的照片，默认替换完整头部，保留身体、服装、姿势和背景
    "output_format": "jpeg",  # Output image format. options: jpeg | png
    "size": "auto",  # Output image resolution/size
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] == "completed":
            print("Generated image:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

image_url = check_status()

Installera

Installera det nödvändiga paketet för ditt programmeringsspråk.

pip install requests

Autentisering

Alla API-förfrågningar kräver autentisering via en API key. Du kan hämta din API key från Atlas Cloud-instrumentpanelen.

export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP-huvuden

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

Håll din API key säker

Exponera aldrig din API key i klientkod eller publika arkiv. Använd miljövariabler eller en backend-proxy istället.

Skicka en förfrågan

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "prompt": "A beautiful landscape"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Skicka en förfrågan

Skicka en asynkron genereringsförfrågan. API:et returnerar ett prediction ID som du kan använda för att kontrollera statusen och hämta resultatet.

POST/api/v1/model/generateImage

Förfrågningsinnehåll

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "atlascloud/face-swap-image",
    "prompt": "A beautiful landscape with mountains and lake"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['data']['id']}")
print(f"Status: {result['data']['status']}")

Svar

{
  "code": 200,
  "data": {
    "id": "pred_abc123",
    "status": "processing",
    "model": "model-name",
    "created_at": "2025-01-01T00:00:00Z"
  }
}

Kontrollera status

Polla prediction-endpointen för att kontrollera den aktuella statusen för din förfrågan.

GET/api/v1/model/prediction/{prediction_id}

Polling-exempel

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

Statusvärden

processingFörfrågan bearbetas fortfarande.

completedGenereringen är klar. Utdata är tillgängliga.

succeededGenereringen lyckades. Utdata är tillgängliga.

failedGenereringen misslyckades. Kontrollera error-fältet.

Slutfört svar

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.png"
    ],
    "metrics": {
      "predict_time": 8.3
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Ladda upp filer

Ladda upp filer till Atlas Cloud-lagring och få en URL som du kan använda i dina API-förfrågningar. Använd multipart/form-data för uppladdning.

POST/api/v1/model/uploadMedia

Uppladdningsexempel

import requests

url = "https://api.atlascloud.ai/api/v1/model/uploadMedia"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

with open("image.png", "rb") as f:
    files = {"file": ("image.png", f, "image/png")}
    response = requests.post(url, headers=headers, files=files)

result = response.json()
download_url = result["data"]["download_url"]
print(f"File URL: {download_url}")

Svar

{
  "data": {
    "download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
    "file_name": "image.png",
    "content_type": "image/png",
    "size": 1024000
  }
}

Input Schema

Följande parametrar accepteras i förfrågningsinnehållet.

Totalt: 5Obligatorisk: 3Valfri: 2

modelstringrequired

Model name.

Default: "atlascloud/face-swap-image"

imagestringrequired

① 源脸 (Source Face) — 要换上去的那张脸，清晰正面照最佳。

Imagestringrequired

② 目标图 (Target Image) — 被换脸的照片，默认替换完整头部，保留身体、服装、姿势和背景。

output_formatstring

Output image format. Seedream v5.0 Pro supports jpeg and png.

Default: "jpeg"

jpegpng

sizestring

Output image resolution/size. Use auto to detect the target image aspect ratio and choose the closest Seedream-supported size; explicit values are passed through when supported by the model.

Default: "auto"

auto2048*20482304*17281728*23042720*15301530*27202496*16641664*24961024*10241536*15361776*13281328*17762048*11521152*2048

Exempel på förfrågningsinnehåll

{
  "model": "atlascloud/face-swap-image",
  "image": "example_image",
  "Image": "example_Image",
  "output_format": "jpeg",
  "size": "auto"
}

Output Schema

API:et returnerar ett prediction-svar med de genererade utdata-URL:erna.

created_atstring

ISO timestamp of when the request was created.

idstring

Unique identifier for the prediction.

modelstring

Model ID used for the prediction.

outputsarray

Array of URLs to the generated content. Empty when status is not completed.

statusstring

Status of the task: created, processing, completed, or failed.

Exempelsvar

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.png"
  ],
  "metrics": {
    "predict_time": 8.3
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills integrerar 400+ AI-modeller direkt i din AI-kodassistent. Ett kommando för att installera, sedan använd naturligt språk för att generera bilder, videor och chatta med LLM.

Stödda klienter

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ stödda klienter

Installera

npx skills add AtlasCloudAI/atlas-cloud-skills

Konfigurera API Key

Hämta din API key från Atlas Cloud-instrumentpanelen och ställ in den som en miljövariabel.

export ATLASCLOUD_API_KEY="your-api-key-here"

Funktioner

När det är installerat kan du använda naturligt språk i din AI-assistent för att komma åt alla Atlas Cloud-modeller.

BildgenereringGenerera bilder med modeller som Nano Banana 2, Z-Image och fler.

VideoskapandeSkapa videor från text eller bilder med Kling, Vidu, Veo m.fl.

LLM-chattChatta med Qwen, DeepSeek och andra stora språkmodeller.

MediauppladdningLadda upp lokala filer för bildredigering och bild-till-video-arbetsflöden.

Läs mer

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server ansluter din IDE med 400+ AI-modeller via Model Context Protocol. Fungerar med alla MCP-kompatibla klienter.

Stödda klienter

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ stödda klienter

Installera

npx -y atlascloud-mcp

Konfiguration

Lägg till följande konfiguration i din IDE:s MCP-inställningsfil.

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Tillgängliga verktyg

atlas_generate_imageGenerera bilder från textpromptar.

atlas_generate_videoSkapa videor från text eller bilder.

atlas_chatChatta med stora språkmodeller.

atlas_list_modelsBläddra bland 400+ tillgängliga AI-modeller.

atlas_quick_generateInnehållsskapande i ett steg med automatiskt modellval.

atlas_upload_mediaLadda upp lokala filer för API-arbetsflöden.

Läs mer

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "info": {
    "title": "AtlasCloud API",
    "version": "1.0.0",
    "description": "AtlasCloud Face Swap (image) tool."
  },
  "openapi": "3.0.0",
  "paths": {
    "/api/v1/model/generateImage": {
      "post": {
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          },
          "required": true
        },
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        },
        "x-api-name": "model_run"
      }
    },
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "required": true,
            "schema": {
              "description": "Request ID",
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        },
        "x-api-name": "model_result"
      }
    }
  },
  "components": {
    "schemas": {
      "Input": {
        "type": "object",
        "properties": {
          "model": {
            "type": "string",
            "description": "Model name.",
            "default": "atlascloud/face-swap-image"
          },
          "image": {
            "type": "string",
            "description": "① 源脸 (Source Face) — 要换上去的那张脸，清晰正面照最佳。",
            "x-format": "image",
            "x-label": "Source Face"
          },
          "Image": {
            "type": "string",
            "description": "② 目标图 (Target Image) — 被换脸的照片，默认替换完整头部，保留身体、服装、姿势和背景。",
            "x-format": "image",
            "x-label": "Target Image"
          },
          "output_format": {
            "type": "string",
            "description": "Output image format. Seedream v5.0 Pro supports jpeg and png.",
            "default": "jpeg",
            "enum": [
              "jpeg",
              "png"
            ],
            "x-label": "Output Format",
            "x-ui-component": "select"
          },
          "size": {
            "type": "string",
            "description": "Output image resolution/size. Use auto to detect the target image aspect ratio and choose the closest Seedream-supported size; explicit values are passed through when supported by the model.",
            "default": "auto",
            "enum": [
              "auto",
              "2048*2048",
              "2304*1728",
              "1728*2304",
              "2720*1530",
              "1530*2720",
              "2496*1664",
              "1664*2496",
              "1024*1024",
              "1536*1536",
              "1776*1328",
              "1328*1776",
              "2048*1152",
              "1152*2048"
            ],
            "x-ui-component": "select",
            "x-label": "Output Resolution"
          }
        },
        "required": [
          "model",
          "image",
          "Image"
        ],
        "x-order-properties": [
          "model",
          "image",
          "Image",
          "size",
          "output_format"
        ]
      },
      "PredictionResponse": {
        "type": "object",
        "properties": {
          "created_at": {
            "description": "ISO timestamp of when the request was created.",
            "format": "date-time",
            "type": "string"
          },
          "id": {
            "description": "Unique identifier for the prediction.",
            "type": "string"
          },
          "model": {
            "description": "Model ID used for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated content. Empty when status is not completed.",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "status": {
            "description": "Status of the task: created, processing, completed, or failed.",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        }
      }
    }
  },
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ]
}

LLM-vänlig Promptmall

# atlascloud/face-swap-image

> Swap a face onto any photo. The facial identity is transferred while pose, clothing and background stay intact.


## Overview

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateImage` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `atlascloud/face-swap-image`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  Model name.
  - Default: `"atlascloud/face-swap-image"`

- **`image`** (`string`, _required_):
  ① 源脸 (Source Face) — 要换上去的那张脸，清晰正面照最佳。

- **`Image`** (`string`, _required_):
  ② 目标图 (Target Image) — 被换脸的照片，默认替换完整头部，保留身体、服装、姿势和背景。

- **`size`** (`string`, _optional_):
  Output image resolution/size. Use auto to detect the target image aspect ratio and choose the closest Seedream-supported size; explicit values are passed through when supported by the model.
  - Default: `"auto"`
  - Options: "auto", "2048*2048", "2304*1728", "1728*2304", "2720*1530", "1530*2720", "2496*1664", "1664*2496", "1024*1024", "1536*1536", "1776*1328", "1328*1776", "2048*1152", "1152*2048"

- **`output_format`** (`string`, _optional_):
  Output image format. Seedream v5.0 Pro supports jpeg and png.
  - Default: `"jpeg"`
  - Options: "jpeg", "png"



**Required Parameters Example**:

```json
{
  "model": "atlascloud/face-swap-image",
  "image": "",
  "Image": ""
}
```


**Full Example**:

```json
{
  "model": "atlascloud/face-swap-image",
  "image": "",
  "Image": "",
  "size": "auto",
  "output_format": "jpeg"
}
```


### Output Schema

The API returns the following output format:


- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created.

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated content. Empty when status is not completed.

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "created_at": "",
  "id": "",
  "model": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "atlascloud/face-swap-image",
  "image": "",
  "Image": "",
  "size": "auto",
  "output_format": "jpeg"
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/atlascloud/face-swap-image)

Laddar...

Face Swap (Image)

Swap a face onto any photo in one click.

Source Face — upload a clear, front-facing photo of the face you want to swap in.
Target Image — upload the photo whose face should be replaced.
Click Run.

The facial identity from the Source Face is transferred onto the Target Image while the original pose, body, clothing, background and lighting are preserved for a seamless, photorealistic result.

Face swapping involves real people. Only upload images you have the right to use and obtain consent from the people depicted. Do not use this tool to create misleading or harmful content.

Face Swap API by Atlas Cloud

Inmatning

Utmatning

Parametrar

Kodexempel

Installera

Autentisering

HTTP-huvuden

Skicka en förfrågan

Skicka en förfrågan

Förfrågningsinnehåll

Svar

Kontrollera status

Polling-exempel

Statusvärden

Slutfört svar

Ladda upp filer

Uppladdningsexempel

Svar

Input Schema

Exempel på förfrågningsinnehåll

Output Schema

Exempelsvar

Atlas Cloud Skills

Stödda klienter

Installera

Konfigurera API Key

Funktioner

MCP Server

Stödda klienter

Installera

Konfiguration

Tillgängliga verktyg

API Schema

LLM-vänlig Promptmall

Face Swap (Image)

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Inmatning

Utmatning

Parametrar

Kodexempel

Installera

Autentisering

HTTP-huvuden

Skicka en förfrågan

Skicka en förfrågan

Förfrågningsinnehåll

Svar

Kontrollera status

Polling-exempel

Statusvärden

Slutfört svar

Ladda upp filer

Uppladdningsexempel

Svar

Input Schema

Exempel på förfrågningsinnehåll

Output Schema

Exempelsvar

Atlas Cloud Skills

Stödda klienter

Installera