sync/lipsync-v3

Video-zu-Video

Sync.so Lipsync v3 API by Sync.so

sync/lipsync-v3

Lipsync-v3

Sync.so Lipsync v3 (sync-3) is Sync Labs state-of-the-art lip-sync model, re-syncing the lips of an existing video to a new audio track with industry-leading naturalness.

Eingabe

Video url *

Sie können Dateien hier ablegen oder zum Hochladen klicken

MAX:1

Audio url *

Sie können Dateien hier ablegen oder zum Hochladen klicken

MAX:1

Sync mode *

Ausgabe

Inaktiv

Ihre generierten Videos erscheinen hier

Konfigurieren Sie Parameter und klicken Sie auf Ausführen, um mit der Generierung zu beginnen

Jede Ausführung kostet $0.22. Für $10 können Sie ca. 45 Mal ausführen.

Sie können fortfahren mit:

Seedance 2.0 Kling v3 Vidu Wan2.7

Parameter

Codebeispiel
import requests
import time

# Step 1: Start video generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "sync/lipsync-v3",  # Required. model name
    "video_url": "example_value",  # Required. URL of the input video whose lips will be re-synced
    "audio_url": "example_value",  # Required. URL of the driving audio to sync the lips to
    "sync_mode": "cut_off",  # Required. How to handle duration mismatch between video and audio. options: cut_off | loop | bounce | silence | remap
}

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"] in ["completed", "succeeded"]:
            print("Generated video:", 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)

video_url = check_status()

Installieren

Installieren Sie das erforderliche Paket für Ihre Programmiersprache.

pip install requests

Authentifizierung

Alle API-Anfragen erfordern eine Authentifizierung über einen API-Schlüssel. Sie können Ihren API-Schlüssel über das Atlas Cloud Dashboard erhalten.

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

HTTP-Header

import os

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

Schützen Sie Ihren API-Schlüssel

Geben Sie Ihren API-Schlüssel niemals in clientseitigem Code oder öffentlichen Repositories preis. Verwenden Sie stattdessen Umgebungsvariablen oder einen Backend-Proxy.

Anfrage senden

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
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())

Anfrage senden

Senden Sie eine asynchrone Generierungsanfrage. Die API gibt eine Vorhersage-ID zurück, mit der Sie den Status prüfen und das Ergebnis abrufen können.

POST/api/v1/model/generateVideo

Anfragekörper

import requests

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

data = {
    "model": "sync/lipsync-v3",
    "prompt": "A beautiful sunset over the ocean with gentle waves"
}

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

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

Antwort

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

Status prüfen

Fragen Sie den Vorhersage-Endpunkt ab, um den aktuellen Status Ihrer Anfrage zu überprüfen.

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

Abfrage-Beispiel

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)

Statuswerte

processingDie Anfrage wird noch verarbeitet.

completedDie Generierung ist abgeschlossen. Ergebnisse sind verfügbar.

succeededDie Generierung war erfolgreich. Ergebnisse sind verfügbar.

failedDie Generierung ist fehlgeschlagen. Überprüfen Sie das Fehlerfeld.

Abgeschlossene Antwort

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.mp4"
    ],
    "metrics": {
      "predict_time": 45.2
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Dateien hochladen

Laden Sie Dateien in den Atlas Cloud Speicher hoch und erhalten Sie eine URL, die Sie in Ihren API-Anfragen verwenden können. Verwenden Sie multipart/form-data zum Hochladen.

POST/api/v1/model/uploadMedia

Upload-Beispiel

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}")

Antwort

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

Eingabe-Schema

Die folgenden Parameter werden im Anfragekörper akzeptiert.

Gesamt: 4Erforderlich: 4Optional: 0

modelstringrequired

model name

Default: "sync/lipsync-v3"

video_urlstringrequired

URL of the input video whose lips will be re-synced. Public URL or Base64. Formats: mp4/mov/webm.

audio_urlstringrequired

URL of the driving audio to sync the lips to. Public URL or Base64. Formats: wav/mp3/m4a.

sync_modestringrequired

How to handle duration mismatch between video and audio. cut_off: trim to shorter; loop: repeat video; bounce: ping-pong; silence: pad audio; remap: time-remap.

Default: "cut_off"

cut_offloopbouncesilenceremap

Beispiel-Anfragekörper

{
  "model": "sync/lipsync-v3",
  "video_url": "example_video_url",
  "audio_url": "example_audio_url",
  "sync_mode": "cut_off"
}

Ausgabe-Schema

Die API gibt eine Vorhersage-Antwort mit den generierten Ausgabe-URLs zurück.

modelstring

model name

Default: "sync/lipsync-v3"

created_atstring

ISO timestamp of when the request was created.

idstring

Unique identifier for the prediction.

outputsarray

Array of URLs to the generated video (empty until completed).

statusstring

Status: created, processing, completed, or failed.

Beispielantwort

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.mp4"
  ],
  "metrics": {
    "predict_time": 45.2
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills integriert über 400 KI-Modelle direkt in Ihren KI-Programmierassistenten. Ein Befehl zur Installation, dann generieren Sie per natürlicher Sprache Bilder und Videos und chatten mit LLMs.

Unterstützte Clients

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ unterstützte clients

Installieren

npx skills add AtlasCloudAI/atlas-cloud-skills

API-Schlüssel einrichten

Erhalten Sie Ihren API-Schlüssel über das Atlas Cloud Dashboard und setzen Sie ihn als Umgebungsvariable.

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

Funktionen

Nach der Installation können Sie natürliche Sprache in Ihrem KI-Assistenten verwenden, um auf alle Atlas Cloud Modelle zuzugreifen.

BildgenerierungGenerieren Sie Bilder mit Modellen wie Nano Banana 2, Z-Image und mehr.

VideoerstellungErstellen Sie Videos aus Text oder Bildern mit Kling, Vidu, Veo usw.

LLM-ChatChatten Sie mit Qwen, DeepSeek und anderen großen Sprachmodellen.

Medien-UploadLaden Sie lokale Dateien für Bildbearbeitung und Bild-zu-Video-Workflows hoch.

Mehr erfahren

github.com/AtlasCloudAI/atlas-cloud-skills

MCP-Server

Der Atlas Cloud MCP-Server verbindet Ihre IDE mit über 400 KI-Modellen über das Model Context Protocol. Funktioniert mit jedem MCP-kompatiblen Client.

Unterstützte Clients

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ unterstützte clients

Installieren

npx -y atlascloud-mcp

Konfiguration

Fügen Sie die folgende Konfiguration zur MCP-Einstellungsdatei Ihrer IDE hinzu.

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

Verfügbare Werkzeuge

atlas_generate_imageGenerieren Sie Bilder aus Textbeschreibungen.

atlas_generate_videoErstellen Sie Videos aus Text oder Bildern.

atlas_chatChatten Sie mit großen Sprachmodellen.

atlas_list_modelsDurchsuchen Sie über 400 verfügbare KI-Modelle.

atlas_quick_generateInhaltserstellung in einem Schritt mit automatischer Modellauswahl.

atlas_upload_mediaLaden Sie lokale Dateien für API-Workflows hoch.

Mehr erfahren

github.com/AtlasCloudAI/mcp-server

API-Schema

{
  "info": {
    "description": "The AtlasCloud API.",
    "title": "AtlasCloud API",
    "version": "1.0.0"
  },
  "paths": {
    "/api/v1/model/generateVideo": {
      "post": {
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        },
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          }
        }
      },
      "x-api-name": "model_run"
    },
    "/api/v1/model/result/{request_id}": {
      "get": {
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        },
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "schema": {
              "type": "string",
              "description": "Request ID"
            },
            "required": true
          }
        ]
      },
      "x-api-name": "model_result"
    }
  },
  "openapi": "3.0.0",
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ],
  "components": {
    "schemas": {
      "Input": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "sync/lipsync-v3"
          },
          "video_url": {
            "description": "URL of the input video whose lips will be re-synced. Public URL or Base64. Formats: mp4/mov/webm.",
            "type": "string",
            "x-ui-component": "uploader"
          },
          "audio_url": {
            "description": "URL of the driving audio to sync the lips to. Public URL or Base64. Formats: wav/mp3/m4a.",
            "type": "string",
            "x-ui-component": "uploader"
          },
          "sync_mode": {
            "description": "How to handle duration mismatch between video and audio. cut_off: trim to shorter; loop: repeat video; bounce: ping-pong; silence: pad audio; remap: time-remap.",
            "type": "string",
            "default": "cut_off",
            "enum": [
              "cut_off",
              "loop",
              "bounce",
              "silence",
              "remap"
            ]
          }
        },
        "required": [
          "model",
          "video_url",
          "audio_url",
          "sync_mode"
        ],
        "type": "object",
        "x-order-properties": [
          "model",
          "video_url",
          "audio_url",
          "sync_mode"
        ]
      },
      "PredictionResponse": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "sync/lipsync-v3"
          },
          "created_at": {
            "description": "ISO timestamp of when the request was created.",
            "format": "date-time",
            "type": "string"
          },
          "has_nsfw_contents": {
            "description": "NSFW detection per output.",
            "items": {
              "type": "boolean"
            },
            "type": "array"
          },
          "id": {
            "description": "Unique identifier for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated video (empty until completed).",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "status": {
            "description": "Status: created, processing, completed, or failed.",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        },
        "type": "object"
      }
    },
    "securitySchemes": {
      "apiKeyAuth": {
        "in": "header",
        "name": "Authorization",
        "type": "apiKey"
      }
    }
  }
}

LLM-freundliche Prompt-Vorlage

# sync/lipsync-v3

> Sync.so Lipsync v3 (sync-3) is Sync Labs state-of-the-art lip-sync model, re-syncing the lips of an existing video to a new audio track with industry-leading naturalness.


## Overview

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateVideo` — 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**: `sync/lipsync-v3`


## 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: `"sync/lipsync-v3"`

- **`video_url`** (`string`, _required_):
  URL of the input video whose lips will be re-synced. Public URL or Base64. Formats: mp4/mov/webm.

- **`audio_url`** (`string`, _required_):
  URL of the driving audio to sync the lips to. Public URL or Base64. Formats: wav/mp3/m4a.

- **`sync_mode`** (`string`, _required_):
  How to handle duration mismatch between video and audio. cut_off: trim to shorter; loop: repeat video; bounce: ping-pong; silence: pad audio; remap: time-remap.
  - Default: `"cut_off"`
  - Options: "cut_off", "loop", "bounce", "silence", "remap"



**Required Parameters Example**:

```json
{
  "model": "sync/lipsync-v3",
  "video_url": "",
  "audio_url": "",
  "sync_mode": "cut_off"
}
```


**Full Example**:

```json
{
  "model": "sync/lipsync-v3",
  "video_url": "",
  "audio_url": "",
  "sync_mode": "cut_off"
}
```


### Output Schema

The API returns the following output format:


- **`model`** (`string`, _optional_):
  model name
  - Default: `"sync/lipsync-v3"`

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

- **`has_nsfw_contents`** (`array[boolean]`, _optional_):
  NSFW detection per output.

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

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated video (empty until completed).

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

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



**Example Response**:

```json
{
  "model": "sync/lipsync-v3",
  "created_at": "",
  "has_nsfw_contents": [],
  "id": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "sync/lipsync-v3",
  "video_url": "",
  "audio_url": "",
  "sync_mode": "cut_off"
}'

# 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/sync/lipsync-v3)

Keine Beispiele verfügbar

Wird geladen...

Sync.so Lipsync v3

Sync.so Lipsync v3 (sync-3) is Sync Labs' state-of-the-art lip-sync model. It re-syncs the lips of an existing video to a new audio track with industry-leading naturalness, preserving the speaker's identity and expression.

🌟 Key Features

👄 SOTA Lip Sync

The most natural lip-sync quality available — from the team behind Wav2Lip. Handles expressive speech and preserves facial identity.

🎚 Duration Mismatch Handling

sync_mode controls how video/audio length differences are resolved: cut_off, loop, bounce, silence, or remap.

🌍 Dubbing, Localization & Editing

Swap the voice or language of any talking video without reshooting.

💰 Duration-Based Billing

Billed per second of the driving audio (= output video duration).

⚙️ Parameters

Parameter	Required	Description
`video_url`*	✅	Input video whose lips will be re-synced. Public URL or Base64. Formats: mp4/mov/webm.
`audio_url`*	✅	Driving audio to sync the lips to. Public URL or Base64. Formats: wav/mp3/m4a.
`sync_mode`	⬜	Duration-mismatch handling: `cut_off` (default), `loop`, `bounce`, `silence`, `remap`.

💲 Pricing

Unit	Price
Per second (output video duration)	$0.20 / second

🎯 Use Cases

Premium Dubbing — Highest-fidelity lip-sync for professional localization.
Film & Advertising — Re-voice actors or spokespeople with natural mouth motion.
AI Avatars — Drive avatar videos with new speech at top quality.
Multi-speaker Video — With active-speaker handling for scenes with several people.

VEED Lipsync

VEED Lipsync re-drives the lip movements of an existing talking-head video to match a new audio track, preserving identity, appearance and background.

Sync.so Lipsync v3 API by Sync.so

Eingabe

Ausgabe

Parameter

Codebeispiel

Installieren

Authentifizierung

HTTP-Header

Anfrage senden

Anfrage senden

Anfragekörper

Antwort

Status prüfen

Abfrage-Beispiel

Statuswerte

Abgeschlossene Antwort

Dateien hochladen

Upload-Beispiel

Antwort

Eingabe-Schema

Beispiel-Anfragekörper

Ausgabe-Schema

Beispielantwort

Atlas Cloud Skills

Unterstützte Clients

Installieren

API-Schlüssel einrichten

Funktionen

MCP-Server

Unterstützte Clients

Installieren

Konfiguration

Verfügbare Werkzeuge

API-Schema

LLM-freundliche Prompt-Vorlage

Sync.so Lipsync v3

🌟 Key Features

👄 SOTA Lip Sync

🎚 Duration Mismatch Handling

🌍 Dubbing, Localization & Editing

💰 Duration-Based Billing

⚙️ Parameters

💲 Pricing

🎯 Use Cases

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Eine API für alle Media-KI.

Join our Discord community

Eingabe

Ausgabe

Parameter

Codebeispiel

Installieren

Authentifizierung

HTTP-Header

Anfrage senden

Anfrage senden

Anfragekörper

Antwort

Status prüfen

Abfrage-Beispiel

Statuswerte

Abgeschlossene Antwort

Dateien hochladen

Upload-Beispiel