alibaba/wan-2.7/video-edit

Video-zu-Video

Wan 2.7 Video-edit API by Alibaba

alibaba/wan-2.7/video-edit

Video-edit

Edits videos using text instructions, reference images, and style transfer with multi-modal input support.

Eingabe

Prompt

Negativ-Prompt

Video *

Sie können Dateien hier ablegen oder zum Hochladen klicken

MAX:1

Bilder(0/4)

Sie können Dateien hier ablegen oder zum Hochladen klicken

MAX:4

Audio

Sie können Dateien hier ablegen oder zum Hochladen klicken

MAX:1

Auflösung

Seitenverhältnis

Erweiterte Einstellungen

Ausgabe

Inaktiv

Ihre generierten Videos erscheinen hier

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

Jede Ausführung kostet $0.1. Für $10 können Sie ca. 100 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": "alibaba/wan-2.7/video-edit",  # Required. Model name. options: alibaba/wan-2.7/video-edit
    "prompt": "A beautiful sunset over the ocean with gentle waves",  # Text instruction describing the desired edit
    "negative_prompt": "example_value",  # Text describing elements to exclude from the video
    "video": "example_value",  # Required. URL of the video to edit
    "images": [
        "https://example.com/image1.jpg"
    ],  # Reference image URLs for style or content guidance
    "audio": "example_value",  # Optional driving audio URL for the edited output
    "resolution": "1080P",  # Output video resolution. options: 720P | 1080P
    "ratio": "example_value",  # Aspect ratio of the output video. options: 16:9 | 9:16 | 1:1 | 4:3 | 3:4
    "duration": 0,  # Output video duration in seconds. (min: 0, max: 10)
    "prompt_extend": True,  # Whether to use AI to enhance the prompt for better video quality
    "seed": -1,  # Random seed for video generation. (min: -1, max: 2147483647)
}

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": "alibaba/wan-2.7/video-edit",
    "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: 11Erforderlich: 2Optional: 9

modelstringrequired

Model name.

Default: "alibaba/wan-2.7/video-edit"

alibaba/wan-2.7/video-edit

promptstring

Text instruction describing the desired edit. Maximum length is 5000 characters.

negative_promptstring

Text describing elements to exclude from the video. Maximum length is 500 characters.

videostringrequired

URL of the video to edit. Supported formats: mp4, mov. Duration: 2–10 seconds. Maximum file size: 100 MB.

imagesarray[string]

Reference image URLs for style or content guidance. Up to 3 images. Supported formats: JPEG, JPG, PNG (transparent channel not supported), BMP, WEBP. Width and height must each be between 240 and 8000 pixels. Aspect ratio must be between 1:8 and 8:1. Maximum file size: 20 MB per image.

audiostring

Optional driving audio URL for the edited output. Supported formats: wav, mp3. Duration: 2–30 seconds. Maximum file size: 15 MB. The alias `audio_url` is also accepted.

resolutionstring

Output video resolution. Higher resolution increases cost.

Default: "1080P"

720P1080P

ratiostring

Aspect ratio of the output video. When omitted, the output follows the input video's aspect ratio.

16:99:161:14:33:4

durationinteger

Output video duration in seconds. Set to 0 or omit to match the input video duration. When set to a positive value, the output is clipped from the start of the input video. Range: 2–10.

Min: 0Max: 10

prompt_extendboolean

Whether to use AI to enhance the prompt for better video quality. Increases generation time.

Default: true

seedinteger

Random seed for video generation. Range: 0 to 2147483647. Use -1 for a random seed.

Default: -1Min: -1Max: 2147483647

Beispiel-Anfragekörper

{
  "model": "alibaba/wan-2.7/video-edit",
  "video": "example_video",
  "resolution": "1080P",
  "prompt_extend": true,
  "seed": -1
}

Ausgabe-Schema

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

codeinteger

messagestring

dataunknown

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": {
    "title": "AtlasCloud API",
    "version": "1.0.0",
    "description": "The AtlasCloud API."
  },
  "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": "alibaba/wan-2.7/video-edit",
            "enum": [
              "alibaba/wan-2.7/video-edit"
            ]
          },
          "prompt": {
            "description": "Text instruction describing the desired edit. Maximum length is 5000 characters.",
            "type": "string"
          },
          "negative_prompt": {
            "description": "Text describing elements to exclude from the video. Maximum length is 500 characters.",
            "type": "string"
          },
          "video": {
            "description": "URL of the video to edit. Supported formats: mp4, mov. Duration: 2–10 seconds. Maximum file size: 100 MB.",
            "type": "string"
          },
          "images": {
            "description": "Reference image URLs for style or content guidance. Up to 3 images. Supported formats: JPEG, JPG, PNG (transparent channel not supported), BMP, WEBP. Width and height must each be between 240 and 8000 pixels. Aspect ratio must be between 1:8 and 8:1. Maximum file size: 20 MB per image.",
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "audio": {
            "description": "Optional driving audio URL for the edited output. Supported formats: wav, mp3. Duration: 2–30 seconds. Maximum file size: 15 MB. The alias `audio_url` is also accepted.",
            "type": "string"
          },
          "resolution": {
            "default": "1080P",
            "description": "Output video resolution. Higher resolution increases cost.",
            "enum": [
              "720P",
              "1080P"
            ],
            "type": "string"
          },
          "ratio": {
            "description": "Aspect ratio of the output video. When omitted, the output follows the input video's aspect ratio.",
            "enum": [
              "16:9",
              "9:16",
              "1:1",
              "4:3",
              "3:4"
            ],
            "type": "string"
          },
          "duration": {
            "minimum": 0,
            "maximum": 10,
            "description": "Output video duration in seconds. Set to 0 or omit to match the input video duration. When set to a positive value, the output is clipped from the start of the input video. Range: 2–10.",
            "type": "integer"
          },
          "prompt_extend": {
            "default": true,
            "description": "Whether to use AI to enhance the prompt for better video quality. Increases generation time.",
            "type": "boolean"
          },
          "seed": {
            "default": -1,
            "minimum": -1,
            "maximum": 2147483647,
            "description": "Random seed for video generation. Range: 0 to 2147483647. Use -1 for a random seed.",
            "type": "integer"
          }
        },
        "required": [
          "model",
          "video"
        ],
        "x-order-properties": [
          "model",
          "prompt",
          "negative_prompt",
          "video",
          "images",
          "audio",
          "resolution",
          "ratio",
          "duration",
          "prompt_extend",
          "seed"
        ]
      },
      "PredictionResponse": {
        "type": "object",
        "properties": {
          "code": {
            "type": "integer"
          },
          "message": {
            "type": "string"
          },
          "data": {
            "$ref": "#/components/schemas/PredictionData"
          }
        }
      },
      "PredictionData": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Unique ID of the generation task."
          },
          "model": {
            "type": "string",
            "description": "Model used for the generation."
          },
          "outputs": {
            "type": "array",
            "description": "Generated video results. Each item is a video URL.",
            "items": {
              "type": "string"
            }
          },
          "urls": {
            "type": "object",
            "properties": {
              "get": {
                "type": "string"
              }
            }
          },
          "status": {
            "type": "string",
            "description": "Current task status, such as created, processing, completed, unknown, or failed."
          },
          "created_at": {
            "type": "string",
            "format": "date-time"
          },
          "error": {
            "type": "string",
            "description": "Error message returned when the task fails."
          }
        }
      }
    }
  },
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ]
}

LLM-freundliche Prompt-Vorlage

# alibaba/wan-2.7/video-edit

> Edits videos using text instructions, reference images, and style transfer with multi-modal input support.


## 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**: `alibaba/wan-2.7/video-edit`


## 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: `"alibaba/wan-2.7/video-edit"`
  - Options: "alibaba/wan-2.7/video-edit"

- **`prompt`** (`string`, _optional_):
  Text instruction describing the desired edit. Maximum length is 5000 characters.

- **`negative_prompt`** (`string`, _optional_):
  Text describing elements to exclude from the video. Maximum length is 500 characters.

- **`video`** (`string`, _required_):
  URL of the video to edit. Supported formats: mp4, mov. Duration: 2–10 seconds. Maximum file size: 100 MB.

- **`images`** (`array[string]`, _optional_):
  Reference image URLs for style or content guidance. Up to 3 images. Supported formats: JPEG, JPG, PNG (transparent channel not supported), BMP, WEBP. Width and height must each be between 240 and 8000 pixels. Aspect ratio must be between 1:8 and 8:1. Maximum file size: 20 MB per image.

- **`audio`** (`string`, _optional_):
  Optional driving audio URL for the edited output. Supported formats: wav, mp3. Duration: 2–30 seconds. Maximum file size: 15 MB. The alias `audio_url` is also accepted.

- **`resolution`** (`string`, _optional_):
  Output video resolution. Higher resolution increases cost.
  - Default: `"1080P"`
  - Options: "720P", "1080P"

- **`ratio`** (`string`, _optional_):
  Aspect ratio of the output video. When omitted, the output follows the input video's aspect ratio.
  - Options: "16:9", "9:16", "1:1", "4:3", "3:4"

- **`duration`** (`integer`, _optional_):
  Output video duration in seconds. Set to 0 or omit to match the input video duration. When set to a positive value, the output is clipped from the start of the input video. Range: 2–10.
  - Min: 0
  - Max: 10

- **`prompt_extend`** (`boolean`, _optional_):
  Whether to use AI to enhance the prompt for better video quality. Increases generation time.
  - Default: `true`

- **`seed`** (`integer`, _optional_):
  Random seed for video generation. Range: 0 to 2147483647. Use -1 for a random seed.
  - Default: `-1`
  - Min: -1
  - Max: 2147483647



**Required Parameters Example**:

```json
{
  "model": "alibaba/wan-2.7/video-edit",
  "video": ""
}
```


**Full Example**:

```json
{
  "model": "alibaba/wan-2.7/video-edit",
  "prompt": "",
  "negative_prompt": "",
  "video": "",
  "images": [
    ""
  ],
  "audio": "",
  "resolution": "1080P",
  "ratio": "16:9",
  "duration": 0,
  "prompt_extend": true,
  "seed": -1
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):

- **`message`** (`string`, _optional_):

- **`data`** (`string`, _optional_):



**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": null
}
```


## 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": "alibaba/wan-2.7/video-edit",
  "prompt": "",
  "negative_prompt": "",
  "video": "",
  "images": [
    ""
  ],
  "audio": "",
  "resolution": "1080P",
  "ratio": "16:9",
  "duration": 0,
  "prompt_extend": true,
  "seed": -1
}'

# 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/alibaba/wan-2.7/video-edit)

Turn the source clip into a cinematic product shot with smooth camera movement and richer studio lighting.

Apply a clean fashion campaign style while preserving the original subject motion.

Enhance the clip with high-detail texture, stable edges, and a polished commercial look.

Wird geladen...

Wan 2.7 Video-edit

Wan 2.7 Video-edit edits an input video from text instructions and optional reference media. Use it for style transfer, subject-preserving edits, commercial polish, and short creative transformations.

Highlights

Video editing with text control: Provide a source video and describe the target look or action.
Optional reference media: Add a single reference image, multiple reference images, or driving audio when the edit needs extra visual or motion guidance.
Native output tiers: Choose 720P or 1080P for Wan 2.7 native video-edit output.
Common aspect ratios: Supports 16:9, 9:16, 1:1, 4:3, and 3:4.

Parameters

Parameter	Required	Description
`model`	Yes	`alibaba/wan-2.7/video-edit`
`prompt`	Yes	Text instruction describing the edit.
`negative_prompt`	No	Text describing what to avoid.
`video`	Yes	Input video URL to edit.
`image`	No	Single reference image URL. The alias `first_frame` is also accepted.
`images`	No	Reference image URLs for style, subject, or object guidance.
`audio`	No	Driving audio URL. The aliases `audio_url` and `driving_audio` are also accepted.
`resolution`	No	`720P` or `1080P`. Defaults to native `1080P`.
`ratio`	No	`16:9`, `9:16`, `1:1`, `4:3`, or `3:4`. Defaults to `16:9`.
`duration`	No	Output duration in seconds. Defaults to `5`.
`prompt_extend`	No	Enable upstream prompt expansion. Defaults to `true`.
`watermark`	No	Whether to add the upstream provider watermark when supported.
`seed`	No	Random seed. `-1` means random.

Resolution Tiers

Request value	Path	Price multiplier
`720P`	Native Wan 2.7	1.0x
`1080P`	Native Wan 2.7	1.5x

Omitted resolution uses native 1080P.

How To Use

curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $AIP_API_KEY" \
  -H "Content-Type: application/json" \
  --data-raw '{
    "model": "alibaba/wan-2.7/video-edit",
    "prompt": "Enhance the clip with high-detail texture, stable edges, and a polished commercial look.",
    "video": "https://static.atlascloud.ai/media/videos/af3ce4416487e61f8b299c5dc42642e3.mp4",
    "resolution": "1080P",
    "ratio": "16:9",
    "duration": 5,
    "prompt_extend": true,
    "seed": -1
  }'

Notes

Generation is asynchronous. Poll /api/v1/model/prediction/{request_id} for the final video URL.
Native 1080P uses the upstream Wan 2.7 1080P path.

HappyHorse-1.1 Reference-to-video

Generates videos from one to nine reference images and a text prompt, supporting 720P or 1080P output, flexible aspect ratios, and durations from 3 to 15 seconds.

HappyHorse-1.1 Text-to-video

Generates videos from text prompts with HappyHorse 1.1, supporting 720P or 1080P output, flexible aspect ratios, and durations from 3 to 15 seconds.

HappyHorse-1.1 Image-to-video

Animates a first-frame image into video with optional prompt guidance, 720P or 1080P output, and durations from 3 to 15 seconds.

HappyHorse-1.0 Image-to-video

Animates a first-frame image into video with optional prompt guidance, 720P or 1080P output, and durations from 3 to 15 seconds.

HappyHorse-1.0 Text-to-video

Generates videos from text prompts with HappyHorse 1.0, supporting 720P or 1080P output, flexible aspect ratios, and durations from 3 to 15 seconds.

HappyHorse-1.0 Reference-to-video

Generates videos from one to nine reference images and a text prompt, supporting 720P or 1080P output, flexible aspect ratios, and durations from 3 to 15 seconds.

HappyHorse-1.0 Video-edit

Edits an input video with text instructions and optional reference images, supporting 720P or 1080P output.

Wan-2.7 Image-to-video

Animates images into videos with first-frame, first-and-last-frame, video continuation, and audio-driven modes.

Wan-2.7 Text-to-video

Generates videos from text prompts with multi-shot narrative, audio generation, and sound-image synchronization.

Wan-2.7 Reference-to-video

Generates character-driven videos from reference images and videos, with multi-subject and voice-cloning support.

Wan-2.2 Image-to-video Lora

Open and Advanced Large-Scale Video Generative Models.

Wan-2.2 Image-to-video

Open and Advanced Large-Scale Video Generative Models.

From

$0.03/SEK

Bild-zu-Video

Wan-2.2-spicy Image-to-video

Open and Advanced Large-Scale Video Generative Models.

From

$0.03/SEK

Bild-zu-Video

Wan-2.2-spicy Image-to-video Lora

Open and Advanced Large-Scale Video Generative Models.

Wan-2.6 Image-to-video Flash

Wan2.6 image to video flash, faster and more cost-effective generation. Intelligent shot scheduling enables multi‑camera storytelling, supports stable multi‑speaker dialogue with more natural and realistic vocal timbres.

Wan-2.6 Video-to-video

A speed-optimized video-to-video option that prioritizes lower latency while retaining strong visual fidelity. Ideal for iteration, batch generation, and prompt testing.

From$0.1/SEK

$0.07/SEK

-30%

Eine API für alle Media-KI.

Alle Modelle erkunden

Wan 2.7 Video-edit API by Alibaba

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Wan 2.7 Video-edit

Highlights

Parameters

Resolution Tiers

How To Use

Notes

Ähnliche Modelle Erkunden

HappyHorse-1.1 Reference-to-video

HappyHorse-1.1 Text-to-video

HappyHorse-1.1 Image-to-video

HappyHorse-1.0 Image-to-video

HappyHorse-1.0 Text-to-video

HappyHorse-1.0 Reference-to-video

HappyHorse-1.0 Video-edit

Wan-2.7 Image-to-video

Wan-2.7 Text-to-video

Wan-2.7 Reference-to-video

Wan-2.2 Image-to-video Lora

Wan-2.2 Image-to-video

Wan-2.2-spicy Image-to-video

Wan-2.2-spicy Image-to-video Lora

Wan-2.6 Image-to-video Flash

Wan-2.6 Video-to-video

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

Antwort

Eingabe-Schema

Beispiel-Anfragekörper