alibaba/wan-2.7/image-to-video

画像から動画

Wan 2.7 Image-to-Video API by Alibaba

alibaba/wan-2.7/image-to-video

Image-to-video

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

入力

プロンプト

ネガティブプロンプト

画像

ファイルをドラッグ＆ドロップするか、クリックしてアップロード

MAX:1

最終フレーム

ファイルをドラッグ＆ドロップするか、クリックしてアップロード

MAX:1

ビデオ

ファイルをドラッグ＆ドロップするか、クリックしてアップロード

MAX:1

オーディオ

ファイルをドラッグ＆ドロップするか、クリックしてアップロード

MAX:1

解像度

追加設定

出力

待機中

生成された動画がここに表示されます

設定を構成して「実行」をクリックして開始

各実行には$0.1かかります。$10で約100回実行できます。

次にできること：

Seedance 2.0 Kling v3 Vidu Wan2.7

パラメータ

コード例
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/image-to-video",  # Required. Model name. options: alibaba/wan-2.7/image-to-video
    "prompt": "A beautiful sunset over the ocean with gentle waves",  # Text prompt describing the desired video content
    "negative_prompt": "example_value",  # Text describing elements to exclude from the video
    "image": "example_value",  # First-frame image URL for image-based generation modes
    "last_image": "example_value",  # Last-frame image URL for end-frame control
    "video": "example_value",  # Video clip URL for video continuation modes
    "audio": "example_value",  # Driving audio URL for image-based generation modes
    "resolution": "1080P",  # Output video resolution. options: 720P | 1080P
    "duration": 5,  # Video duration in seconds. (min: 2, max: 15)
    "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()

インストール

お使いの言語に必要なパッケージをインストールしてください。

pip install requests

認証

すべての API リクエストには API キーによる認証が必要です。API キーは Atlas Cloud ダッシュボードから取得できます。

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

HTTP ヘッダー

import os

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

API キーを安全に保管してください

API キーをクライアントサイドのコードや公開リポジトリに公開しないでください。代わりに環境変数またはバックエンドプロキシを使用してください。

リクエストを送信

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())

リクエストを送信

非同期生成リクエストを送信します。API は予測 ID を返し、それを使用してステータスの確認や結果の取得ができます。

POST/api/v1/model/generateVideo

リクエストボディ

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/image-to-video",
    "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']}")

レスポンス

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

ステータスを確認

予測エンドポイントをポーリングして、リクエストの現在のステータスを確認します。

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

ポーリング例

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)

ステータス値

processingリクエストはまだ処理中です。

completed生成が完了しました。出力が利用可能です。

succeeded生成が成功しました。出力が利用可能です。

failed生成に失敗しました。エラーフィールドを確認してください。

完了レスポンス

{
  "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"
  }
}

ファイルをアップロード

Atlas Cloud ストレージにファイルをアップロードし、API リクエストで使用できる URL を取得します。multipart/form-data を使用してアップロードします。

POST/api/v1/model/uploadMedia

アップロード例

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}")

レスポンス

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

入力 Schema

以下のパラメータがリクエストボディで使用できます。

合計: 11必須: 1任意: 10

modelstringrequired

Model name.

Default: "alibaba/wan-2.7/image-to-video"

alibaba/wan-2.7/image-to-video

promptstring

Text prompt describing the desired video content. Maximum length is 5000 characters.

negative_promptstring

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

imagestring

First-frame image URL for image-based generation modes. The video starts from this image. 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.

last_imagestring

Last-frame image URL for end-frame control. Use it with `image` to generate a start-to-end transition, or with `video` to continue a clip toward a target ending frame. 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.

videostring

Video clip URL for video continuation modes. The model extends the content of this clip. `last_image` can be added for end-frame control. Supported formats: mp4, mov. Duration: 2–10 seconds. Maximum file size: 100 MB.

audiostring

Driving audio URL for image-based generation modes. The model uses this audio to drive lip-sync or action-matched video generation. Supported only with `image`, or with `image` and `last_image`. Supported formats: wav, mp3. Duration: 2–30 seconds. Maximum file size: 15 MB. The alias `audio_url` is also accepted.

resolutionstring

Output video resolution. The video aspect ratio follows the input image or video. Higher resolution increases cost.

Default: "1080P"

720P1080P

durationinteger

Video duration in seconds. Longer duration increases cost.

Default: 5Min: 2Max: 15

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

リクエストボディの例

{
  "model": "alibaba/wan-2.7/image-to-video",
  "resolution": "1080P",
  "duration": 5,
  "prompt_extend": true,
  "seed": -1
}

出力 Schema

API は生成された出力 URL を含む予測レスポンスを返します。

codeinteger

messagestring

dataunknown

レスポンス例

{
  "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 は 400 以上の AI モデルを AI コーディングアシスタントに直接統合します。ワンコマンドでインストールし、自然言語で画像・動画生成や LLM との対話が可能です。

対応クライアント

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ 対応クライアント

インストール

npx skills add AtlasCloudAI/atlas-cloud-skills

API キーの設定

Atlas Cloud ダッシュボードから API キーを取得し、環境変数として設定してください。

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

機能

インストール後、AI アシスタントで自然言語を使用してすべての Atlas Cloud モデルにアクセスできます。

画像生成Nano Banana 2、Z-Image などのモデルで画像を生成します。

動画作成Kling、Vidu、Veo などでテキストや画像から動画を作成します。

LLM チャットQwen、DeepSeek などの大規模言語モデルと対話します。

メディアアップロード画像編集や画像から動画へのワークフロー用にローカルファイルをアップロードします。

詳細を見る

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server は Model Context Protocol を通じて IDE と 400 以上の AI モデルを接続します。MCP 対応のあらゆるクライアントで動作します。

対応クライアント

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ 対応クライアント

インストール

npx -y atlascloud-mcp

設定

以下の設定を IDE の MCP 設定ファイルに追加してください。

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

利用可能なツール

atlas_generate_imageテキストプロンプトから画像を生成します。

atlas_generate_videoテキストや画像から動画を作成します。

atlas_chat大規模言語モデルと対話します。

atlas_list_models400 以上の利用可能な AI モデルを閲覧します。

atlas_quick_generate最適なモデルを自動選択し、ワンステップでコンテンツを作成。

atlas_upload_mediaAPI ワークフロー用にローカルファイルをアップロードします。

詳細を見る

github.com/AtlasCloudAI/mcp-server

APIスキーマ

{
  "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/image-to-video",
            "enum": [
              "alibaba/wan-2.7/image-to-video"
            ]
          },
          "prompt": {
            "description": "Text prompt describing the desired video content. 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"
          },
          "image": {
            "description": "First-frame image URL for image-based generation modes. The video starts from this image. 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.",
            "type": "string"
          },
          "last_image": {
            "description": "Last-frame image URL for end-frame control. Use it with `image` to generate a start-to-end transition, or with `video` to continue a clip toward a target ending frame. 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.",
            "type": "string"
          },
          "video": {
            "description": "Video clip URL for video continuation modes. The model extends the content of this clip. `last_image` can be added for end-frame control. Supported formats: mp4, mov. Duration: 2–10 seconds. Maximum file size: 100 MB.",
            "type": "string"
          },
          "audio": {
            "description": "Driving audio URL for image-based generation modes. The model uses this audio to drive lip-sync or action-matched video generation. Supported only with `image`, or with `image` and `last_image`. 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. The video aspect ratio follows the input image or video. Higher resolution increases cost.",
            "enum": [
              "720P",
              "1080P"
            ],
            "type": "string"
          },
          "duration": {
            "default": 5,
            "minimum": 2,
            "maximum": 15,
            "description": "Video duration in seconds. Longer duration increases cost.",
            "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"
        ],
        "oneOf": [
          {
            "title": "first-frame",
            "description": "Generate a video from a first-frame image.",
            "required": [
              "image"
            ],
            "not": {
              "anyOf": [
                {
                  "required": [
                    "last_image"
                  ]
                },
                {
                  "required": [
                    "video"
                  ]
                },
                {
                  "required": [
                    "audio"
                  ]
                }
              ]
            }
          },
          {
            "title": "first-frame-with-audio",
            "description": "Generate a video from a first-frame image with driving audio.",
            "required": [
              "image",
              "audio"
            ],
            "not": {
              "anyOf": [
                {
                  "required": [
                    "last_image"
                  ]
                },
                {
                  "required": [
                    "video"
                  ]
                }
              ]
            }
          },
          {
            "title": "first-and-last-frame",
            "description": "Generate a video transition between a first-frame image and a last-frame image.",
            "required": [
              "image",
              "last_image"
            ],
            "not": {
              "anyOf": [
                {
                  "required": [
                    "video"
                  ]
                },
                {
                  "required": [
                    "audio"
                  ]
                }
              ]
            }
          },
          {
            "title": "first-and-last-frame-with-audio",
            "description": "Generate a video transition between a first-frame image and a last-frame image with driving audio.",
            "required": [
              "image",
              "last_image",
              "audio"
            ],
            "not": {
              "required": [
                "video"
              ]
            }
          },
          {
            "title": "video-continuation",
            "description": "Continue an input video clip.",
            "required": [
              "video"
            ],
            "not": {
              "anyOf": [
                {
                  "required": [
                    "image"
                  ]
                },
                {
                  "required": [
                    "last_image"
                  ]
                },
                {
                  "required": [
                    "audio"
                  ]
                }
              ]
            }
          },
          {
            "title": "video-continuation-with-last-frame",
            "description": "Continue an input video clip and constrain the ending frame.",
            "required": [
              "video",
              "last_image"
            ],
            "not": {
              "anyOf": [
                {
                  "required": [
                    "image"
                  ]
                },
                {
                  "required": [
                    "audio"
                  ]
                }
              ]
            }
          }
        ],
        "x-order-properties": [
          "model",
          "prompt",
          "negative_prompt",
          "image",
          "last_image",
          "video",
          "audio",
          "resolution",
          "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フレンドリーなプロンプトテンプレート

# alibaba/wan-2.7/image-to-video

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


## 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/image-to-video`


## 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/image-to-video"`
  - Options: "alibaba/wan-2.7/image-to-video"

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

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

- **`image`** (`string`, _optional_):
  First-frame image URL for image-based generation modes. The video starts from this image. 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.

- **`last_image`** (`string`, _optional_):
  Last-frame image URL for end-frame control. Use it with `image` to generate a start-to-end transition, or with `video` to continue a clip toward a target ending frame. 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.

- **`video`** (`string`, _optional_):
  Video clip URL for video continuation modes. The model extends the content of this clip. `last_image` can be added for end-frame control. Supported formats: mp4, mov. Duration: 2–10 seconds. Maximum file size: 100 MB.

- **`audio`** (`string`, _optional_):
  Driving audio URL for image-based generation modes. The model uses this audio to drive lip-sync or action-matched video generation. Supported only with `image`, or with `image` and `last_image`. 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. The video aspect ratio follows the input image or video. Higher resolution increases cost.
  - Default: `"1080P"`
  - Options: "720P", "1080P"

- **`duration`** (`integer`, _optional_):
  Video duration in seconds. Longer duration increases cost.
  - Default: `5`
  - Min: 2
  - Max: 15

- **`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/image-to-video"
}
```


**Full Example**:

```json
{
  "model": "alibaba/wan-2.7/image-to-video",
  "prompt": "",
  "negative_prompt": "",
  "image": "",
  "last_image": "",
  "video": "",
  "audio": "",
  "resolution": "1080P",
  "duration": 5,
  "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/image-to-video",
  "prompt": "",
  "negative_prompt": "",
  "image": "",
  "last_image": "",
  "video": "",
  "audio": "",
  "resolution": "1080P",
  "duration": 5,
  "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/image-to-video)

A deep canyon split by massive cracks begins to glow as powerful light erupts from within the fissures, beams of radiant energy shooting upward, dust swirling through the air, the camera slowly rising through the canyon, cinematic lighting, epic scale, ultra-realistic.

読み込み中...

Alibaba WAN 2.7 Image-to-Video

Alibaba WAN 2.7 Image-to-Video animates images into videos with multiple generation modes: first-frame, first-and-last-frame, video continuation, and audio-driven animation.

What makes it stand out?

Multiple animation modes: Start from a single image, control both start and end frames, or extend an existing video clip.
Audio-driven generation: Provide a driving audio file to generate lip-synced or action-matched video content.
Multi-shot support: Generate multi-shot narratives with natural transitions and scene variety.
Up to 15 seconds: Generate videos from 2 to 15 seconds at 720P or 1080P resolution.
Super Resolution options: Choose 1080P-SR or 1440P-SR when you need a sharper final video with cleaner edges and improved texture detail.

Designed For

Creators who want to bring still images to life with motion and sound.
Teams building video content from existing image assets or storyboard frames.
Anyone who needs controlled video generation with specific start and end states.
Publishing workflows that need a higher-detail final output from the same source image.

Super Resolution

Set resolution to 1080P-SR or 1440P-SR to use the FlashVSR super-resolution path. The request first generates a source video, then applies video super-resolution before returning the final output.

Use 1080P-SR for sharper HD results when the native 1080P output is not detailed enough. Use 1440P-SR for larger-screen previews, presentation assets, or publishing workflows where extra texture detail matters.

Super Resolution can take longer than native generation because it adds a post-processing step. Final billing is calculated from the selected model, resolution, duration, account, and environment pricing configuration.

How to Use

First-frame mode: Provide an image URL. The model animates it into a video.
First-and-last-frame mode: Provide both image (start) and last_image (end). The model generates a transition between them.
Video continuation: Provide a video clip URL. The model extends the content of this clip.
Audio-driven: Add an audio URL to any mode. The model matches the video to the audio.
Add a text prompt to guide the video content and style.
Choose resolution: 720P or 1080P for native generation, 1080P-SR or 1440P-SR for Super Resolution.

類似モデルを探索

NEW

リファレンスから動画

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 Text-to-video

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

Wan-2.7 Video-edit

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

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/秒

画像から動画

Wan-2.2-spicy Image-to-video

Open and Advanced Large-Scale Video Generative Models.

From

$0.03/秒

画像から動画

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/秒

$0.07/秒

-30%

ひとつのAPIで、あらゆるメディアAIを。

すべてのモデルを探索

Wan 2.7 Image-to-Video API by Alibaba

入力

出力

パラメータ

コード例

インストール

認証

HTTP ヘッダー

リクエストを送信

リクエストを送信

リクエストボディ

レスポンス

ステータスを確認

ポーリング例

ステータス値

完了レスポンス

ファイルをアップロード

アップロード例

レスポンス

入力 Schema

リクエストボディの例

出力 Schema

レスポンス例

Atlas Cloud Skills

対応クライアント

インストール

API キーの設定

機能

MCP Server

対応クライアント

インストール

設定

利用可能なツール

APIスキーマ

LLMフレンドリーなプロンプトテンプレート

Alibaba WAN 2.7 Image-to-Video

What makes it stand out?

Designed For

Super Resolution

How to Use

類似モデルを探索

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 Text-to-video

Wan-2.7 Video-edit

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

ひとつのAPIで、あらゆるメディアAIを。

Join our Discord community

入力

出力

パラメータ

コード例

インストール

認証

HTTP ヘッダー

リクエストを送信

リクエストを送信

リクエストボディ

レスポンス

ステータスを確認

ポーリング例

ステータス値

完了レスポンス

ファイルをアップロード

アップロード例

レスポンス

入力 Schema

リクエストボディの例

出力 Schema