alibaba/wan-2.7/reference-to-video

فيديو إلى فيديو

Wan 2.7 Reference-to-Video API by Alibaba

alibaba/wan-2.7/reference-to-video

Reference-to-video

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

الإدخال

الطلب *

الطلب السلبي

الصور(0/4)

اسحب الملف وأفلته هنا أو انقر للرفع

MAX:4

الفيديوهات(0/4)

اسحب الملف وأفلته هنا أو انقر للرفع

MAX:4

صوت

اسحب الملف وأفلته هنا أو انقر للرفع

MAX:1

الدقة

نسبة العرض إلى الارتفاع

الإعدادات المتقدمة

الإخراج

في انتظار التنفيذ

سيظهر الفيديو المُنشأ هنا

قم بتعيين المعاملات وانقر فوق تشغيل لبدء الإنشاء

كل مرة ستكلف $0.1 مع $10 يمكنك التشغيل حوالي 100 مرة

يمكنك المتابعة بـ:

Seedance 2.0 Kling v3 Vidu Wan2.7

المعلمات

مثال الكود
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/reference-to-video",  # Required. Model name. options: alibaba/wan-2.7/reference-to-video
    "prompt": "A beautiful sunset over the ocean with gentle waves",  # Required. Text prompt describing the desired video
    "negative_prompt": "example_value",  # Text describing elements to exclude from the video
    "images": [
        "https://example.com/image1.jpg"
    ],  # Reference image URLs
    "videos": [],  # Reference video URLs
    "audio": "example_value",  # Audio URL for voice cloning
    "resolution": "1080P",  # Output video resolution. options: 720P | 1080P
    "ratio": "16:9",  # Aspect ratio of the generated video. options: 16:9 | 9:16 | 1:1 | 4:3 | 3:4
    "duration": 5,  # Video duration in seconds. (min: 2, max: 10)
    "prompt_extend": False,  # 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()

التثبيت

قم بتثبيت الحزمة المطلوبة للغة البرمجة الخاصة بك.

pip install requests

المصادقة

تتطلب جميع طلبات API المصادقة عبر مفتاح API. يمكنك الحصول على مفتاح API الخاص بك من لوحة تحكم Atlas Cloud.

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

ترويسات HTTP

import os

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

حافظ على أمان مفتاح API الخاص بك

لا تكشف أبدًا مفتاح API الخاص بك في الكود من جانب العميل أو المستودعات العامة. استخدم متغيرات البيئة أو وكيل الخادم الخلفي بدلاً من ذلك.

إرسال طلب

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())

إرسال طلب

أرسل طلب توليد غير متزامن. تُرجع API معرّف التنبؤ الذي يمكنك استخدامه للتحقق من الحالة واسترداد النتيجة.

POST/api/v1/model/generateVideo

نص الطلب

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/reference-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']}")

الاستجابة

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

التحقق من الحالة

استعلم عن نقطة نهاية التنبؤ للتحقق من الحالة الحالية لطلبك.

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

مثال الاستعلام

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)

قيم الحالة

processingلا يزال الطلب قيد المعالجة.

completedاكتمل التوليد. المخرجات متاحة.

succeededنجح التوليد. المخرجات متاحة.

failedفشل التوليد. تحقق من حقل الخطأ.

استجابة مكتملة

{
  "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"
  }
}

رفع الملفات

ارفع الملفات إلى تخزين Atlas Cloud واحصل على URL يمكنك استخدامه في طلبات API الخاصة بك. استخدم multipart/form-data للرفع.

POST/api/v1/model/uploadMedia

مثال الرفع

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}")

الاستجابة

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

Input Schema

المعاملات التالية مقبولة في نص الطلب.

الإجمالي: 11مطلوب: 2اختياري: 9

modelstringrequired

Model name.

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

alibaba/wan-2.7/reference-to-video

promptstringrequired

Text prompt describing the desired video. Use labels like "character1" and "character2" to map reference materials to characters. Maximum length is 5000 characters.

negative_promptstring

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

imagesarray[string]

Reference image URLs. Each image represents one character or subject (person, animal, object). Up to 1 image per subject. 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.

videosarray[string]

Reference video URLs. Each video represents one character or subject and can also carry its voice. Up to 3 videos. Supported formats: mp4, mov. Duration: 1–30 seconds. Maximum file size: 100 MB per video.

audiostring

Audio URL for voice cloning. The model uses this audio as the voice for the character in the reference material. Supported formats: wav, mp3. Duration: 1–10 seconds. Maximum file size: 15 MB. Same role as `reference_voice`; `audio` is preferred for consistency with other Wan video models.

resolutionstring

Output video resolution. Higher resolution increases cost.

Default: "1080P"

720P1080P

ratiostring

Aspect ratio of the generated video.

Default: "16:9"

16:99:161:14:33:4

durationinteger

Video duration in seconds. Longer duration increases cost.

Default: 5Min: 2Max: 10

prompt_extendboolean

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

Default: false

seedinteger

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

Default: -1Min: -1Max: 2147483647

مثال على نص الطلب

{
  "model": "alibaba/wan-2.7/reference-to-video",
  "prompt": "A beautiful landscape",
  "resolution": "1080P",
  "ratio": "16:9",
  "duration": 5,
  "prompt_extend": false,
  "seed": -1
}

Output Schema

تُرجع API استجابة تنبؤ تحتوي على عناوين URL للمخرجات المولّدة.

codeinteger

messagestring

dataunknown

مثال على الاستجابة

{
  "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

يدمج Atlas Cloud Skills أكثر من 400 نموذج ذكاء اصطناعي مباشرة في مساعد البرمجة بالذكاء الاصطناعي الخاص بك. أمر واحد للتثبيت، ثم استخدم اللغة الطبيعية لتوليد الصور ومقاطع الفيديو والدردشة مع LLM.

العملاء المدعومون

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ العملاء المدعومون

التثبيت

npx skills add AtlasCloudAI/atlas-cloud-skills

إعداد مفتاح API

احصل على مفتاح API الخاص بك من لوحة تحكم Atlas Cloud وعيّنه كمتغير بيئة.

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

الإمكانيات

بمجرد التثبيت، يمكنك استخدام اللغة الطبيعية في مساعد الذكاء الاصطناعي الخاص بك للوصول إلى جميع نماذج Atlas Cloud.

توليد الصورأنشئ صورًا باستخدام نماذج مثل Nano Banana 2 و Z-Image والمزيد.

إنشاء الفيديوأنشئ مقاطع فيديو من نص أو صور باستخدام Kling و Vidu و Veo وغيرها.

دردشة LLMتحدث مع Qwen و DeepSeek ونماذج اللغة الكبيرة الأخرى.

رفع الوسائطارفع الملفات المحلية لتحرير الصور وسير عمل تحويل الصور إلى فيديو.

MCP Server

يربط Atlas Cloud MCP Server بيئة التطوير الخاصة بك بأكثر من 400 نموذج ذكاء اصطناعي عبر Model Context Protocol. يعمل مع أي عميل متوافق مع MCP.

العملاء المدعومون

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ العملاء المدعومون

التثبيت

npx -y atlascloud-mcp

التكوين

أضف التكوين التالي إلى ملف إعدادات MCP في بيئة التطوير الخاصة بك.

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

الأدوات المتاحة

atlas_generate_imageتوليد صور من أوصاف نصية.

atlas_generate_videoإنشاء مقاطع فيديو من نص أو صور.

atlas_chatالدردشة مع نماذج اللغة الكبيرة.

atlas_list_modelsتصفح أكثر من 400 نموذج ذكاء اصطناعي متاح.

atlas_quick_generateإنشاء محتوى بخطوة واحدة مع اختيار تلقائي للنموذج.

atlas_upload_mediaرفع الملفات المحلية لسير عمل API.

اعرف المزيد

github.com/AtlasCloudAI/mcp-server

مخطط API

{
  "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/reference-to-video",
            "enum": [
              "alibaba/wan-2.7/reference-to-video"
            ]
          },
          "prompt": {
            "description": "Text prompt describing the desired video. Use labels like \"character1\" and \"character2\" to map reference materials to characters. 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"
          },
          "images": {
            "description": "Reference image URLs. Each image represents one character or subject (person, animal, object). Up to 1 image per subject. 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"
            }
          },
          "videos": {
            "description": "Reference video URLs. Each video represents one character or subject and can also carry its voice. Up to 3 videos. Supported formats: mp4, mov. Duration: 1–30 seconds. Maximum file size: 100 MB per video.",
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "audio": {
            "description": "Audio URL for voice cloning. The model uses this audio as the voice for the character in the reference material. Supported formats: wav, mp3. Duration: 1–10 seconds. Maximum file size: 15 MB. Same role as `reference_voice`; `audio` is preferred for consistency with other Wan video models.",
            "type": "string"
          },
          "resolution": {
            "default": "1080P",
            "description": "Output video resolution. Higher resolution increases cost.",
            "enum": [
              "720P",
              "1080P"
            ],
            "type": "string"
          },
          "ratio": {
            "default": "16:9",
            "description": "Aspect ratio of the generated video.",
            "enum": [
              "16:9",
              "9:16",
              "1:1",
              "4:3",
              "3:4"
            ],
            "type": "string"
          },
          "duration": {
            "default": 5,
            "minimum": 2,
            "maximum": 10,
            "description": "Video duration in seconds. Longer duration increases cost.",
            "type": "integer"
          },
          "prompt_extend": {
            "default": false,
            "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",
          "prompt"
        ],
        "x-order-properties": [
          "model",
          "prompt",
          "negative_prompt",
          "images",
          "videos",
          "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"
    }
  ]
}

قالب موجه LLM

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

> Generates character-driven videos from reference images and videos, with multi-subject and voice-cloning 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/reference-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/reference-to-video"`
  - Options: "alibaba/wan-2.7/reference-to-video"

- **`prompt`** (`string`, _required_):
  Text prompt describing the desired video. Use labels like "character1" and "character2" to map reference materials to characters. Maximum length is 5000 characters.

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

- **`images`** (`array[string]`, _optional_):
  Reference image URLs. Each image represents one character or subject (person, animal, object). Up to 1 image per subject. 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.

- **`videos`** (`array[string]`, _optional_):
  Reference video URLs. Each video represents one character or subject and can also carry its voice. Up to 3 videos. Supported formats: mp4, mov. Duration: 1–30 seconds. Maximum file size: 100 MB per video.

- **`audio`** (`string`, _optional_):
  Audio URL for voice cloning. The model uses this audio as the voice for the character in the reference material. Supported formats: wav, mp3. Duration: 1–10 seconds. Maximum file size: 15 MB. Same role as `reference_voice`; `audio` is preferred for consistency with other Wan video models.

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

- **`ratio`** (`string`, _optional_):
  Aspect ratio of the generated video.
  - Default: `"16:9"`
  - Options: "16:9", "9:16", "1:1", "4:3", "3:4"

- **`duration`** (`integer`, _optional_):
  Video duration in seconds. Longer duration increases cost.
  - Default: `5`
  - Min: 2
  - Max: 10

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

- **`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/reference-to-video",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "alibaba/wan-2.7/reference-to-video",
  "prompt": "",
  "negative_prompt": "",
  "images": [
    ""
  ],
  "videos": [
    ""
  ],
  "audio": "",
  "resolution": "1080P",
  "ratio": "16:9",
  "duration": 5,
  "prompt_extend": false,
  "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/reference-to-video",
  "prompt": "",
  "negative_prompt": "",
  "images": [
    ""
  ],
  "videos": [
    ""
  ],
  "audio": "",
  "resolution": "1080P",
  "ratio": "16:9",
  "duration": 5,
  "prompt_extend": false,
  "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/reference-to-video)

A colossal solar flare explodes beside a nearby planet, enormous waves of blazing plasma and magnetic energy spiraling through space, the planet partially illuminated by the violent stellar eruption, dramatic cosmic lighting, ultra-realistic, epic sci-fi film style.

character1 walks through a softly lit studio, turning toward the camera with a calm expression and natural body motion.

جارٍ التحميل...

Alibaba WAN 2.7 Reference-to-Video

Alibaba WAN 2.7 Reference-to-Video generates character-driven videos from reference images and videos, supporting multi-subject scenes and voice cloning.

What makes it stand out?

Character consistency: Provide reference images or videos of characters, and the model preserves their appearance across the generated video.
Multi-subject scenes: Include up to 5 reference materials (images + videos combined) to create scenes with multiple characters interacting.
Voice cloning: Attach a voice reference audio to transfer a character's voice into the generated video.
Flexible framing: Five aspect ratios (16:9, 9:16, 1:1, 4:3, 3:4) at 720P or 1080P.

Designed For

Creators building character-driven stories that need consistent character identity across clips.
Teams producing multi-character interaction videos from a set of reference assets.
Anyone who wants to animate a character from a photo or short clip with a specific voice.

How to Use

Write a prompt using labels like "character1" and "character2" to reference each subject.
Provide reference materials in order: the first image or video maps to character1, the second to character2, and so on.
Each reference should contain only one subject (person, animal, or object).
Optionally add a reference_voice audio URL to give a character a specific voice.
Set resolution, ratio, and duration for the output video.

Super Resolution

Use 1080P-SR or 1440P-SR when you want sharper detail than the native output. The request first renders a 720P source video, then applies FlashVSR super-resolution to the requested target tier. 1080P-SR is intended as a lower-cost HD option, while 1440P-SR is intended for larger screens or publishing workflows.

For reference-to-video requests, reference-video billable duration can still affect the final charge. Final billing is calculated from the active model pricing configuration for the selected resolution, duration, account, and environment.

استكشف نماذج مماثلة

NEW

مرجع إلى فيديو

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 Video-edit

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

صورة إلى فيديو

Wan-2.2-spicy Image-to-video

Open and Advanced Large-Scale Video Generative Models.

From

$0.03/ثانية

صورة إلى فيديو

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/ثانية

$0.07/ثانية

-30%

واجهة برمجية واحدة لكل وسائط الذكاء الاصطناعي.

استكشف جميع النماذج

Wan 2.7 Reference-to-Video API by Alibaba

الإدخال

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المعلمات

مثال الكود

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ترويسات HTTP

إرسال طلب

إرسال طلب

نص الطلب

الاستجابة

التحقق من الحالة

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استجابة مكتملة

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Input Schema

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Output Schema

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العملاء المدعومون

التثبيت

إعداد مفتاح API

الإمكانيات

MCP Server

العملاء المدعومون

التثبيت

التكوين

الأدوات المتاحة

مخطط API

قالب موجه LLM

Alibaba WAN 2.7 Reference-to-Video

What makes it stand out?

Designed For

How to Use

Super Resolution

استكشف نماذج مماثلة

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 Video-edit

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

واجهة برمجية واحدة لكل وسائط الذكاء الاصطناعي.

Join our Discord community

الإدخال

الإخراج

المعلمات

مثال الكود

التثبيت

المصادقة

ترويسات HTTP

إرسال طلب

إرسال طلب

نص الطلب

الاستجابة

التحقق من الحالة

مثال الاستعلام

قيم الحالة

استجابة مكتملة

رفع الملفات

مثال الرفع

الاستجابة

Input Schema

مثال على نص الطلب

Output Schema