alibaba/wan-3.0-prime/reference-to-video

视频转视频

Wan 3.0 Prime Reference-to-Video API by Alibaba

alibaba/wan-3.0-prime/reference-to-video

Reference-to-video

All-in-One Reference: keep subjects consistent from any mix of reference images, videos, and audio; pixel-level identity/voice/space alignment.

Wan 3.0 Prime Reference-to-Video 由 Alibaba 开发。Atlas Cloud（由 Atlas Cloud AI LLC 运营）仅提供接入服务，并不拥有该模型。所有商标均归其各自所有者所有。

输入

提示词 *

参考素材(0/20)

可拖拽文件至此，或点击上传

MAX:20

文档

深度思考

打开「深度思考」即可附加文档或网页链接，已填的内容会保留。

分辨率

[ Original ] 为模型原生渲染的结果；[ SR ] 是性价比更高的超分放大；[ ESR ] 是 Atlas 的增强超分，细节更丰富、运动更稳定，成本仍低于原生渲染。了解更多

时长

画面比例

音频

随机种子

输出

空闲

生成的视频将在这里显示

配置参数后点击运行开始生成

每次运行将花费 $0.061。$10 可运行约 163 次。

你可以继续：

Seedance 2.0 Kling v3 Vidu Wan2.7

参数

代码示例
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-3.0-prime/reference-to-video",  # Required. model name
    "prompt": "A beautiful sunset over the ocean with gentle waves",  # Required. The text prompt describing the scene and action for the referenced subjects (up to 20000 characters)
    "refers": [
        {
            "url": "example_url",
            "type": "example_type"
        }
    ],  # All-in-One Reference materials
    "resolution": "1080p",  # Output resolution
    "duration": 5,  # Video length in seconds (2-30)
    "ratio": "adaptive",  # The aspect ratio of the generated video. options: adaptive | 16:9 | 4:3 | 1:1 | 3:4 | 9:16
    "audio": True,  # Whether the output video includes an audio track
    "enable_thinking": True,  # Enable deep thinking mode
    "file": "example_value",  # Optional document input to parse (requires enable_thinking)
    "link": "example_value",  # Optional public webpage URL to parse (requires enable_thinking)
    "seed": 1,  # The random seed to use for the generation
}

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()

安装

安装所需的依赖包。

pip install requests

认证

所有 API 请求需要通过 API Key 进行认证。您可以在 Atlas Cloud 控制台获取 API Key。

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

HTTP 请求头

import os

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

保护好您的 API Key

切勿在客户端代码或公开仓库中暴露您的 API Key。请使用环境变量或后端代理。

提交请求

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())

提交请求

提交一个异步生成请求。API 返回一个 prediction ID，您可以用它来检查状态和获取结果。

POST/api/v1/model/generateVideo

请求体

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-3.0-prime/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']}")

响应

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

检查状态

轮询 prediction 端点以检查请求的当前状态。

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

轮询示例

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)

状态值

processing请求仍在处理中。

completed生成完成，输出可用。

succeeded生成成功，输出可用。

failed生成失败，请检查 error 字段。

完成响应

{
  "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"
  }
}

上传文件

将文件上传到 Atlas Cloud 存储，获取可在 API 请求中使用的 URL。使用 multipart/form-data 上传。

POST/api/v1/model/uploadMedia

上传示例

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}")

响应

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

Input Schema

以下参数在请求体中被接受。

总计: 11必填: 2可选: 9

modelstringrequired

model name

Default: "alibaba/wan-3.0-prime/reference-to-video"

promptstringrequired

The text prompt describing the scene and action for the referenced subjects (up to 20000 characters).

refersarray[object]

All-in-One Reference materials. Any mix of reference images (<=10), reference videos (<=5, total <=15s), and reference audio (<=5, total <=15s), each a public URL. 'type' is optional — inferred from the URL when omitted. Image: jpeg/jpg/png/bmp/webp; video: mp4/mov; audio: wav/mp3. Reference mode is mutually exclusive with first/last-frame mode.

Max items: 20

urlstringrequired

Public URL of the reference image / video / audio.

typestring

Media kind. Optional; inferred from the URL when omitted.

imagevideoaudio

resolutionstring

Output resolution. Native tiers: 480p, 720p, 1080p. ESR tiers: 720p-esr, 1080p-esr, 1440p-esr, 4k-esr.

Default: "1080p"

1080p720p480p720p-esr1080p-esr1440p-esr4k-esr

durationnumber

Video length in seconds (2-30). Pass -1 for smart-duration (the model picks the best length).

Default: 5

-123456789101112131415161718192021222324252627282930

ratiostring

The aspect ratio of the generated video. Use 'adaptive' to let the model choose from the references.

Default: "adaptive"

adaptive16:94:31:13:49:16

audioboolean

Whether the output video includes an audio track. Same price either way.

Default: true

enable_thinkingboolean

Enable deep thinking mode. Required when providing a file or link input (document / webpage parsing). Not recommended when no file/link is provided.

Default: true

filestring

Optional document input to parse (requires enable_thinking). Public URL. Formats: docx, doc, xlsx, xls, pptx, ppt, pdf, txt, key, pages, numbers, md; <= 100MB, <= 50 pages. Mutually exclusive with 'link'.

linkstring

Optional public webpage URL to parse (requires enable_thinking). Only pages that need no login. Mutually exclusive with 'file'.

seedinteger

The random seed to use for the generation. -1 means a random seed will be used.

请求体示例

{
  "model": "alibaba/wan-3.0-prime/reference-to-video",
  "prompt": "A beautiful landscape",
  "resolution": "1080p",
  "duration": 5,
  "ratio": "adaptive",
  "audio": true,
  "enable_thinking": true
}

Output Schema

API 返回包含生成输出 URL 的 prediction 响应。

created_atstring

ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).

idstring

Unique identifier for the prediction, the ID of the prediction to get.

modelstring

Model ID used for the prediction.

outputsarray

Array of URLs to the generated content (empty when status is not completed).

statusstring

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

响应示例

{
  "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 将 400+ AI 模型直接集成到您的 AI 编程助手中。一条命令安装，即可用自然语言生成图像、视频和与 LLM 对话。

支持的客户端

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ 支持的客户端

安装

npx skills add AtlasCloudAI/atlas-cloud-skills

设置 API Key

从 Atlas Cloud 控制台获取 API Key，并将其设置为环境变量。

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

功能

安装后，您可以在 AI 助手中使用自然语言访问所有 Atlas Cloud 模型。

图像生成使用 Nano Banana 2、Z-Image 等模型生成图像。

视频创作使用 Kling、Vidu、Veo 等模型从文本或图像创建视频。

LLM 对话与 Qwen、DeepSeek 等大语言模型对话。

媒体上传上传本地文件用于图像编辑和图生视频工作流。

MCP Server

Atlas Cloud MCP Server 通过 Model Context Protocol 将您的 IDE 与 400+ AI 模型连接。支持任何兼容 MCP 的客户端。

支持的客户端

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ 支持的客户端

安装

npx -y atlascloud-mcp

配置

将以下配置添加到您的 IDE 的 MCP 设置文件中。

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

可用工具

atlas_generate_image从文本提示生成图像。

atlas_generate_video从文本或图像创建视频。

atlas_chat与大语言模型对话。

atlas_list_models浏览 400+ 可用 AI 模型。

atlas_quick_generate一步式内容创建，自动选择最佳模型。

atlas_upload_media上传本地文件用于 API 工作流。

了解更多

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "components": {
    "schemas": {
      "Input": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "alibaba/wan-3.0-prime/reference-to-video"
          },
          "prompt": {
            "description": "The text prompt describing the scene and action for the referenced subjects (up to 20000 characters).",
            "type": "string"
          },
          "refers": {
            "description": "All-in-One Reference materials. Any mix of reference images (<=10), reference videos (<=5, total <=15s), and reference audio (<=5, total <=15s), each a public URL. 'type' is optional — inferred from the URL when omitted. Image: jpeg/jpg/png/bmp/webp; video: mp4/mov; audio: wav/mp3. Reference mode is mutually exclusive with first/last-frame mode.",
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "url": {
                  "type": "string",
                  "description": "Public URL of the reference image / video / audio.",
                  "x-ui-component": "uploaders"
                },
                "type": {
                  "type": "string",
                  "description": "Media kind. Optional; inferred from the URL when omitted.",
                  "enum": [
                    "image",
                    "video",
                    "audio"
                  ]
                }
              },
              "required": [
                "url"
              ]
            },
            "maxItems": 20,
            "x-accept": ".jpeg,.jpg,.png,.bmp,.webp,.mp4,.mov,.wav,.mp3",
            "x-media-limits": {
              "image": {
                "maxItems": 10
              },
              "video": {
                "maxItems": 5,
                "maxTotalDuration": 15,
                "maxDuration": 15,
                "minDuration": 1
              },
              "audio": {
                "maxItems": 5,
                "maxTotalDuration": 15,
                "maxDuration": 15,
                "minDuration": 1
              }
            },
            "x-ui-component": "uploaders"
          },
          "resolution": {
            "default": "1080p",
            "description": "Output resolution. Native tiers: 480p, 720p, 1080p. ESR tiers: 720p-esr, 1080p-esr, 1440p-esr, 4k-esr.",
            "enum": [
              "1080p",
              "720p",
              "480p",
              "720p-esr",
              "1080p-esr",
              "1440p-esr",
              "4k-esr"
            ],
            "type": "string",
            "x-ui-component": "select"
          },
          "duration": {
            "default": 5,
            "description": "Video length in seconds (2-30). Pass -1 for smart-duration (the model picks the best length).",
            "enum": [
              -1,
              2,
              3,
              4,
              5,
              6,
              7,
              8,
              9,
              10,
              11,
              12,
              13,
              14,
              15,
              16,
              17,
              18,
              19,
              20,
              21,
              22,
              23,
              24,
              25,
              26,
              27,
              28,
              29,
              30
            ],
            "x-enum-labels": {
              "-1": "Smart"
            },
            "type": "number",
            "totalMaximum": 30,
            "inputMaximum": 15,
            "x-ui-component": "select"
          },
          "ratio": {
            "default": "adaptive",
            "description": "The aspect ratio of the generated video. Use 'adaptive' to let the model choose from the references.",
            "enum": [
              "adaptive",
              "16:9",
              "4:3",
              "1:1",
              "3:4",
              "9:16"
            ],
            "type": "string",
            "x-ui-component": "select"
          },
          "audio": {
            "default": true,
            "description": "Whether the output video includes an audio track. Same price either way.",
            "type": "boolean",
            "x-ui-component": "switch"
          },
          "enable_thinking": {
            "default": true,
            "description": "Enable deep thinking mode. Required when providing a file or link input (document / webpage parsing). Not recommended when no file/link is provided.",
            "type": "boolean",
            "x-ui-component": "switch"
          },
          "file": {
            "description": "Optional document input to parse (requires enable_thinking). Public URL. Formats: docx, doc, xlsx, xls, pptx, ppt, pdf, txt, key, pages, numbers, md; <= 100MB, <= 50 pages. Mutually exclusive with 'link'.",
            "type": "string",
            "x-ui-component": "uploaders",
            "x-accept": ".docx,.doc,.xlsx,.xls,.pptx,.ppt,.pdf,.txt,.key,.pages,.numbers,.md",
            "x-max-size-mb": 100
          },
          "link": {
            "description": "Optional public webpage URL to parse (requires enable_thinking). Only pages that need no login. Mutually exclusive with 'file'.",
            "type": "string",
            "x-ui-component": "input"
          },
          "seed": {
            "description": "The random seed to use for the generation. -1 means a random seed will be used.",
            "type": "integer"
          }
        },
        "required": [
          "model",
          "prompt"
        ],
        "type": "object",
        "allOf": [
          {
            "if": {
              "properties": {
                "enable_thinking": {
                  "const": true
                }
              },
              "required": [
                "enable_thinking"
              ]
            },
            "else": {
              "properties": {
                "file": {
                  "x-hidden": true
                },
                "link": {
                  "x-hidden": true
                }
              }
            }
          },
          {
            "if": {
              "properties": {
                "enable_thinking": {
                  "const": true
                },
                "file": {
                  "type": "string",
                  "minLength": 1
                }
              },
              "required": [
                "enable_thinking",
                "file"
              ]
            },
            "then": {
              "properties": {
                "link": {
                  "x-hidden": true
                }
              }
            }
          },
          {
            "if": {
              "properties": {
                "enable_thinking": {
                  "const": true
                },
                "link": {
                  "type": "string",
                  "minLength": 1
                }
              },
              "required": [
                "enable_thinking",
                "link"
              ]
            },
            "then": {
              "properties": {
                "file": {
                  "x-hidden": true
                }
              }
            }
          }
        ],
        "x-order-properties": [
          "model",
          "prompt",
          "refers",
          "resolution",
          "duration",
          "ratio",
          "audio",
          "enable_thinking",
          "file",
          "link",
          "seed"
        ]
      },
      "PredictionResponse": {
        "properties": {
          "created_at": {
            "description": "ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).",
            "format": "date-time",
            "type": "string"
          },
          "id": {
            "description": "Unique identifier for the prediction, the ID of the prediction to get.",
            "type": "string"
          },
          "model": {
            "description": "Model ID used for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated content (empty when status is not completed).",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "status": {
            "description": "Status of the task: created, processing, completed, or failed.",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        },
        "type": "object"
      }
    },
    "securitySchemes": {
      "apiKeyAuth": {
        "in": "header",
        "name": "Authorization",
        "type": "apiKey"
      }
    }
  },
  "info": {
    "description": "The AtlasCloud API.",
    "title": "AtlasCloud API",
    "version": "1.0.0"
  },
  "openapi": "3.0.0",
  "paths": {
    "/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": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        }
      },
      "x-api-name": "model_result"
    },
    "/api/v1/model/generateVideo": {
      "post": {
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$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"
    }
  },
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ]
}

LLM 友好的提示词模板

# alibaba/wan-3.0-prime/reference-to-video

> All-in-One Reference: keep subjects consistent from any mix of reference images, videos, and audio; pixel-level identity/voice/space alignment.


## 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-3.0-prime/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-3.0-prime/reference-to-video"`

- **`prompt`** (`string`, _required_):
  The text prompt describing the scene and action for the referenced subjects (up to 20000 characters).

- **`refers`** (`array[object]`, _optional_):
  All-in-One Reference materials. Any mix of reference images (<=10), reference videos (<=5, total <=15s), and reference audio (<=5, total <=15s), each a public URL. 'type' is optional — inferred from the URL when omitted. Image: jpeg/jpg/png/bmp/webp; video: mp4/mov; audio: wav/mp3. Reference mode is mutually exclusive with first/last-frame mode.
  - Max items: 20
  - Item properties:
    - **`url`** (`string`, _required_):
      Public URL of the reference image / video / audio.

    - **`type`** (`string`, _optional_):
      Media kind. Optional; inferred from the URL when omitted.
      - Options: "image", "video", "audio"


- **`resolution`** (`string`, _optional_):
  Output resolution. Native tiers: 480p, 720p, 1080p. ESR tiers: 720p-esr, 1080p-esr, 1440p-esr, 4k-esr.
  - Default: `"1080p"`
  - Options: "1080p", "720p", "480p", "720p-esr", "1080p-esr", "1440p-esr", "4k-esr"

- **`duration`** (`number`, _optional_):
  Video length in seconds (2-30). Pass -1 for smart-duration (the model picks the best length).
  - Default: `5`
  - Options: -1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30

- **`ratio`** (`string`, _optional_):
  The aspect ratio of the generated video. Use 'adaptive' to let the model choose from the references.
  - Default: `"adaptive"`
  - Options: "adaptive", "16:9", "4:3", "1:1", "3:4", "9:16"

- **`audio`** (`boolean`, _optional_):
  Whether the output video includes an audio track. Same price either way.
  - Default: `true`

- **`enable_thinking`** (`boolean`, _optional_):
  Enable deep thinking mode. Required when providing a file or link input (document / webpage parsing). Not recommended when no file/link is provided.
  - Default: `true`

- **`file`** (`string`, _optional_):
  Optional document input to parse (requires enable_thinking). Public URL. Formats: docx, doc, xlsx, xls, pptx, ppt, pdf, txt, key, pages, numbers, md; <= 100MB, <= 50 pages. Mutually exclusive with 'link'.

- **`link`** (`string`, _optional_):
  Optional public webpage URL to parse (requires enable_thinking). Only pages that need no login. Mutually exclusive with 'file'.

- **`seed`** (`integer`, _optional_):
  The random seed to use for the generation. -1 means a random seed will be used.



**Required Parameters Example**:

```json
{
  "model": "alibaba/wan-3.0-prime/reference-to-video",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "alibaba/wan-3.0-prime/reference-to-video",
  "prompt": "",
  "refers": [
    {
      "url": "",
      "type": "image"
    }
  ],
  "resolution": "1080p",
  "duration": 5,
  "ratio": "adaptive",
  "audio": true,
  "enable_thinking": true,
  "file": "",
  "link": "",
  "seed": 0
}
```


### Output Schema

The API returns the following output format:


- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).

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

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

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

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

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



**Example Response**:

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


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "alibaba/wan-3.0-prime/reference-to-video",
  "prompt": "",
  "refers": [
    {
      "url": "",
      "type": "image"
    }
  ],
  "resolution": "1080p",
  "duration": 5,
  "ratio": "adaptive",
  "audio": true,
  "enable_thinking": true,
  "file": "",
  "link": "",
  "seed": 0
}'

# 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-3.0-prime/reference-to-video)

Transform the visual style into a cartoon or anime style.

加载中...

Wan 3.0 Prime Reference-to-Video

Wan 3.0 Prime Reference-to-Video is the "all-in-one reference" mode: give it any mix of reference images, videos, and audio, and it keeps those subjects, props, voices, and spatial relationships consistent throughout a new clip driven by your prompt. This is pixel-level identity preservation — not "close enough," but faithful replication of the reference details.

Why Choose This?

Mix four modalities Combine reference images, reference videos, and reference audio in one request.
Pixel-level consistency Characters, props, voices, and spatial relationships stay aligned across the whole clip.
Multi-subject scenes Reference several subjects at once and direct them with your prompt.
Native long-form + audio Up to 30 seconds with a synchronized audio track.
Flexible aspect ratios adaptive, 16:9, 4:3, 1:1, 3:4, or 9:16.

Parameters

Parameter	Required	Description
prompt	Yes	Text description of the scene and action for the subjects (up to 5000 chars)
refers	Yes	Array of reference materials, each `{ "url": "...", "type": "image\|video\|audio" }`. `type` is optional (inferred from the URL)
resolution	No	Output quality: 1080P (default), 720P, 480P
duration	No	Output length in seconds: 5 (default), 2–30. Pass -1 for smart-duration
ratio	No	Aspect ratio: adaptive (default), 16:9, 4:3, 1:1, 3:4, 9:16
audio	No	Whether the output has an audio track: true (default) / false
enable_thinking	No	Deep thinking mode: false (default). Required for file/link parsing
file	No	Document to parse (requires enable_thinking): docx/doc/xlsx/xls/ppt/pdf/txt/key/pages/numbers/md , ≤100MB, ≤50 pages. Mutually exclusive with link
link	No	Public webpage URL to parse (requires enable_thinking; no-login pages only). Mutually exclusive with file

Reference limits

Kind	Max count	Notes
Image	10	jpeg/jpg/png (no alpha)/bmp/webp, single edge 240–8000px, ratio ≤ 8:1, ≤ 20MB
Video	5	mp4/mov, total ≤ 15s, each 1–15s, single edge 240–4096px, ≤ 100MB
Audio	5	wav/mp3, total ≤ 15s, each 1–15s, ≤ 15MB

`refers` example

"refers": [
  { "url": "https://.../subject1.jpg", "type": "image" },
  { "url": "https://.../subject2.png" },
  { "url": "https://.../clip.mp4", "type": "video" },
  { "url": "https://.../beat.mp3", "type": "audio" }
]

How to Use

Add your references — any mix of images, videos, and/or audio.
Write your prompt — describe the scene, action, and camera movement for the subjects.
Set resolution, duration, and ratio.
Run — submit and download your video.

Best Use Cases

Character Consistency — Keep the same character across shots.
Product Placement — Feature a specific product in generated scenes.
Branded Content — Maintain a consistent mascot or spokesperson.
Audio-driven Motion — Sync the action to a reference beat.

Pro Tips

Give one clean image per subject when combining several subjects.
Describe the new scene and action, not the reference materials themselves.
Supply a reference audio track to drive the timing/beat of the motion.

Notes

prompt and at least one reference are required.
Reference mode is mutually exclusive with first/last-frame mode — do not mix reference materials with image/last_image; use Image-to-Video for strict frame control.
file and link require enable_thinking = true and are mutually exclusive.
Negative prompts are not supported on Wan 3.0.
Ensure all reference URLs are publicly accessible.
Generation is asynchronous — submit, then poll for the finished video.

Wan 3.0 Text-to-Video — Generate video directly from a text prompt.
Wan 3.0 Image-to-Video — Animate a first frame (optionally with a last frame).

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