alibaba/wan-3.0/reference-to-video

video-ke-video

Wan 3.0 Reference-to-Video API by Alibaba

alibaba/wan-3.0/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 Reference-to-Video dikembangkan oleh Alibaba. Atlas Cloud (dioperasikan oleh Atlas Cloud AI LLC) menyediakan akses ke model ini dan tidak memilikinya. Semua merek dagang adalah milik pemiliknya masing-masing.

INPUT

Prompt *

Aset Referensi(0/20)

Anda dapat drag & drop file atau klik untuk mengunggah

MAX:20

Dokumen

Berpikir mendalam

Aktifkan Berpikir mendalam untuk melampirkan dokumen atau tautan web. Yang sudah Anda isi tetap tersimpan.

Resolusi

[ Original ] mempertahankan render asli dari model. [ SR ] adalah upscaling yang hemat biaya. [ ESR ] adalah pemrosesan lanjutan dari Atlas — detail lebih halus dan gerakan lebih stabil, tetap lebih murah daripada render asli. Pelajari Lebih Lanjut

Durasi

Rasio Aspek

Audio

Seed

OUTPUT

Menunggu

Video yang dihasilkan akan muncul di sini

Konfigurasikan pengaturan Anda dan klik Jalankan untuk memulai

Permintaan Anda akan dikenakan biaya $0.04 per eksekusi. Dengan $10 Anda dapat menjalankan model ini sekitar 250 kali.

Berikut yang dapat Anda lakukan selanjutnya:

Seedance 2.0 Kling v3 Vidu Wan2.7

Parameter

Contoh kode
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/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": False,  # 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()

Instalasi

Instal paket dependensi yang diperlukan.

pip install requests

Autentikasi

Semua permintaan API memerlukan autentikasi melalui API key. Anda bisa mendapatkan API key dari dasbor Atlas Cloud.

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

HTTP Headers

import os

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

Jaga keamanan API key Anda

Jangan pernah mengekspos API key Anda di kode sisi klien atau repositori publik. Gunakan variabel lingkungan atau proxy backend sebagai gantinya.

Kirim permintaan

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())

Kirim Permintaan

Kirim permintaan pembuatan asinkron. API mengembalikan prediction ID yang dapat Anda gunakan untuk memeriksa status dan mengambil hasil.

POST/api/v1/model/generateVideo

Isi Permintaan

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/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']}")

Respons

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

Periksa Status

Polling prediction endpoint untuk memeriksa status permintaan Anda saat ini.

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

Contoh Polling

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)

Nilai Status

processingPermintaan masih diproses.

completedPembuatan selesai. Output tersedia.

succeededPembuatan berhasil. Output tersedia.

failedPembuatan gagal. Periksa field error.

Respons Selesai

{
  "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"
  }
}

Unggah File

Unggah file ke penyimpanan Atlas Cloud dan dapatkan URL yang dapat Anda gunakan dalam permintaan API Anda. Gunakan multipart/form-data untuk mengunggah.

POST/api/v1/model/uploadMedia

Contoh Unggah

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}")

Respons

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

Input Schema

Parameter berikut diterima di isi permintaan.

Total: 11Wajib: 2Opsional: 9

modelstringrequired

model name

Default: "alibaba/wan-3.0/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. Each item requires a public URL and explicit media type. 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.

typestringrequired

Media kind.

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: false

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.

Contoh Isi Permintaan

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

Output Schema

API mengembalikan respons prediction dengan URL output yang dihasilkan.

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.

Contoh Respons

{
  "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 mengintegrasikan 400+ model AI langsung ke asisten pengkodean AI Anda. Satu perintah untuk menginstal, lalu gunakan bahasa alami untuk menghasilkan gambar, video, dan mengobrol dengan LLM.

Klien yang Didukung

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ klien yang didukung

Instalasi

npx skills add AtlasCloudAI/atlas-cloud-skills

Atur API Key

Dapatkan API key dari dasbor Atlas Cloud dan atur sebagai variabel lingkungan.

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

Kemampuan

Setelah diinstal, Anda dapat menggunakan bahasa alami di asisten AI Anda untuk mengakses semua model Atlas Cloud.

Pembuatan GambarBuat gambar dengan model seperti Nano Banana 2, Z-Image, dan lainnya.

Pembuatan VideoBuat video dari teks atau gambar dengan Kling, Vidu, Veo, dll.

Obrolan LLMMengobrol dengan Qwen, DeepSeek, dan model bahasa besar lainnya.

Unggah MediaUnggah file lokal untuk pengeditan gambar dan alur kerja gambar-ke-video.

Pelajari lebih lanjut

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server menghubungkan IDE Anda dengan 400+ model AI melalui Model Context Protocol. Berfungsi dengan klien apa pun yang kompatibel dengan MCP.

Klien yang Didukung

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ klien yang didukung

Instalasi

npx -y atlascloud-mcp

Konfigurasi

Tambahkan konfigurasi berikut ke file pengaturan MCP di IDE Anda.

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

Alat yang Tersedia

atlas_generate_imageBuat gambar dari prompt teks.

atlas_generate_videoBuat video dari teks atau gambar.

atlas_chatMengobrol dengan model bahasa besar.

atlas_list_modelsJelajahi 400+ model AI yang tersedia.

atlas_quick_generatePembuatan konten satu langkah dengan pemilihan model terbaik otomatis.

atlas_upload_mediaUnggah file lokal untuk alur kerja API.

Pelajari lebih lanjut

github.com/AtlasCloudAI/mcp-server

Schema API

{
  "components": {
    "schemas": {
      "Input": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "alibaba/wan-3.0/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. Each item requires a public URL and explicit media type. 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.",
                  "enum": [
                    "image",
                    "video",
                    "audio"
                  ]
                }
              },
              "required": [
                "url",
                "type"
              ]
            },
            "maxItems": 20,
            "x-accept": ".jpeg,.jpg,.png,.bmp,.webp,.mp4,.mov,.wav,.mp3",
            "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": false,
            "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"
    }
  ]
}

Template Prompt untuk LLM

# alibaba/wan-3.0/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/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/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. Each item requires a public URL and explicit media type. 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`, _required_):
      Media kind.
      - 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: `false`

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


**Full Example**:

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

Convert video to comic style

Memuat...

Wan 3.0 Reference-to-Video

Wan 3.0 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).

Jelajahi Model Serupa

NEW

video-ke-video

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.

Wan-3.0-Prime Image-to-video

Animate a first frame (optionally with a last frame) into a coherent clip, with native audio and smart-duration up to 30s.

Wan-3.0-Prime Text-to-video

All-in-one Wan3.0 renderer: cinematic, hyper-real video from a text prompt, up to 30s with smart-duration and adaptive aspect ratio.

Wan-3.0 Image-to-video

Animate a first frame (optionally with a last frame) into a coherent clip, with native audio and smart-duration up to 30s.

Wan-3.0 Text-to-video

All-in-one Wan3.0 renderer: cinematic, hyper-real video from a text prompt, up to 30s with smart-duration and adaptive aspect ratio.

HappyHorse-1.1 Reference-to-video

Generates videos from one to nine reference images and a text prompt, supporting 480P, 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, 480P, 720P, or 1080P output, and durations from 3 to 15 seconds.

HappyHorse-1.1 Text-to-video

Generates videos from text prompts with HappyHorse 1.1, supporting 480P, 720P, or 1080P output, flexible aspect ratios, 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 Video-edit

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

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.

From

$0.14/DETIK