alibaba/wan-2.7/text-to-video

Texto para Vídeo

Wan 2.7 Text-to-Video API by Alibaba

alibaba/wan-2.7/text-to-video

Text-to-video

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

Entrada

Prompt *

Prompt Negativo

Áudio

Arraste arquivos aqui ou clique para fazer upload

MAX:1

Resolução

Proporção

Duração

Prompt extend

Semente

Saída

Inativo

Os vídeos gerados serão exibidos aqui

Configure os parâmetros e clique em executar para começar a gerar

Cada execução custará $0.1. Com $10 você pode executar aproximadamente 100 vezes.

Você pode continuar com:

Seedance 2.0 Kling v3 Vidu Wan2.7

Parâmetros

Exemplo de código
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/text-to-video",  # Required. Model name. options: alibaba/wan-2.7/text-to-video
    "prompt": "A beautiful sunset over the ocean with gentle waves",  # Required. Text prompt describing the video content
    "negative_prompt": "example_value",  # Text describing elements to exclude from the video
    "audio": "example_value",  # URL of an audio file to use as the video soundtrack
    "resolution": "1080P",  # Output video resolution. options: 720P | 1080P | 1080P-SR | 1440P-SR
    "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: 15)
    "prompt_extend": True,  # Whether to use AI to enhance the prompt for better video quality
    "seed": -1,  # Random seed for video generation. (min: -1, max: 2147483647)
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] in ["completed", "succeeded"]:
            print("Generated video:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

video_url = check_status()

Instalar

Instale o pacote necessário para a sua linguagem de programação.

pip install requests

Autenticação

Todas as solicitações de API requerem autenticação por meio de uma chave de API. Você pode obter sua chave de API no painel do Atlas Cloud.

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

Cabeçalhos HTTP

import os

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

Mantenha sua chave de API segura

Nunca exponha sua chave de API em código do lado do cliente ou repositórios públicos. Use variáveis de ambiente ou um proxy de backend.

Enviar uma solicitação

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())

Enviar uma solicitação

Envie uma solicitação de geração assíncrona. A API retorna um ID de predição que você pode usar para verificar o status e obter o resultado.

POST/api/v1/model/generateVideo

Corpo da solicitação

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/text-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']}")

Resposta

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

Verificar status

Consulte o endpoint de predição para verificar o status atual da sua solicitação.

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

Exemplo de 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)

Valores de status

processingA solicitação ainda está sendo processada.

completedA geração está completa. As saídas estão disponíveis.

succeededA geração foi bem-sucedida. As saídas estão disponíveis.

failedA geração falhou. Verifique o campo de erro.

Resposta concluída

{
  "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"
  }
}

Enviar arquivos

Envie arquivos para o armazenamento do Atlas Cloud e obtenha uma URL que pode ser usada nas suas solicitações de API. Use multipart/form-data para enviar.

POST/api/v1/model/uploadMedia

Exemplo de upload

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}")

Resposta

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

Schema de entrada

Os seguintes parâmetros são aceitos no corpo da solicitação.

Total: 9Obrigatório: 2Opcional: 7

modelstringrequired

Model name.

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

alibaba/wan-2.7/text-to-video

promptstringrequired

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

negative_promptstring

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

audiostring

URL of an audio file to use as the video soundtrack. Supported formats: wav, mp3. Duration: 2–30 seconds. Maximum file size: 15 MB. The alias `audio_url` is also accepted.

resolutionstring

Output video resolution. 720P and 1080P are native Wan 2.7 outputs. Choose 1080P-SR for sharper HD detail, cleaner edges, and better texture retention. For the same duration, 1080P-SR is priced at 80% of native 1080P before account discounts and environment-specific pricing adjustments. Choose 1440P-SR for higher-detail large-screen or publishing workflows. Final billing is calculated by the platform pricing configuration for the selected model, resolution, duration, account, and environment.

Default: "1080P"

720P1080P1080P-SR1440P-SR

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: 15

prompt_extendboolean

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

Default: true

seedinteger

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

Default: -1Min: -1Max: 2147483647

Exemplo de corpo da solicitação

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

Schema de saída

A API retorna uma resposta de predição com as URLs de saída geradas.

codeinteger

messagestring

dataunknown

Exemplo de resposta

{
  "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

O Atlas Cloud Skills integra mais de 400 modelos de IA diretamente no seu assistente de codificação com IA. Um comando para instalar e depois use linguagem natural para gerar imagens, vídeos e conversar com LLM.

Clientes compatíveis

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ clientes compatíveis

Instalar

npx skills add AtlasCloudAI/atlas-cloud-skills

Configurar chave de API

Obtenha sua chave de API no painel do Atlas Cloud e defina-a como variável de ambiente.

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

Funcionalidades

Após a instalação, você pode usar linguagem natural no seu assistente de IA para acessar todos os modelos do Atlas Cloud.

Geração de imagensGere imagens com modelos como Nano Banana 2, Z-Image e mais.

Criação de vídeosCrie vídeos a partir de texto ou imagens com Kling, Vidu, Veo, etc.

Chat com LLMConverse com Qwen, DeepSeek e outros grandes modelos de linguagem.

Upload de mídiaEnvie arquivos locais para fluxos de trabalho de edição de imagens e imagem para vídeo.

Saiba mais

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

O Atlas Cloud MCP Server conecta seu IDE com mais de 400 modelos de IA através do Model Context Protocol. Funciona com qualquer cliente compatível com MCP.

Clientes compatíveis

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ clientes compatíveis

Instalar

npx -y atlascloud-mcp

Configuração

Adicione a seguinte configuração ao arquivo de configuração de MCP do seu IDE.

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

Ferramentas disponíveis

atlas_generate_imageGere imagens a partir de prompts de texto.

atlas_generate_videoCrie vídeos a partir de texto ou imagens.

atlas_chatConverse com grandes modelos de linguagem.

atlas_list_modelsExplore mais de 400 modelos de IA disponíveis.

atlas_quick_generateCriação de conteúdo em uma etapa com seleção automática de modelo.

atlas_upload_mediaEnvie arquivos locais para fluxos de trabalho de API.

Saiba mais

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "info": {
    "title": "AtlasCloud API",
    "version": "1.0.0",
    "description": "The AtlasCloud API."
  },
  "openapi": "3.0.0",
  "paths": {
    "/api/v1/model/generateImage": {
      "post": {
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          },
          "required": true
        },
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        }
      },
      "x-api-name": "model_run"
    },
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "required": true,
            "schema": {
              "description": "Request ID",
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        }
      },
      "x-api-name": "model_result"
    }
  },
  "components": {
    "schemas": {
      "Input": {
        "type": "object",
        "properties": {
          "model": {
            "type": "string",
            "description": "Model name.",
            "default": "alibaba/wan-2.7/text-to-video",
            "enum": [
              "alibaba/wan-2.7/text-to-video"
            ]
          },
          "prompt": {
            "description": "Text prompt describing the video content. Maximum length is 5000 characters.",
            "type": "string"
          },
          "negative_prompt": {
            "description": "Text describing elements to exclude from the video. Maximum length is 500 characters.",
            "type": "string"
          },
          "audio": {
            "description": "URL of an audio file to use as the video soundtrack. Supported formats: wav, mp3. Duration: 2–30 seconds. Maximum file size: 15 MB. The alias `audio_url` is also accepted.",
            "type": "string"
          },
          "resolution": {
            "default": "1080P",
            "description": "Output video resolution. 720P and 1080P are native Wan 2.7 outputs. Choose 1080P-SR for sharper HD detail, cleaner edges, and better texture retention. For the same duration, 1080P-SR is priced at 80% of native 1080P before account discounts and environment-specific pricing adjustments. Choose 1440P-SR for higher-detail large-screen or publishing workflows. Final billing is calculated by the platform pricing configuration for the selected model, resolution, duration, account, and environment.",
            "enum": [
              "720P",
              "1080P",
              "1080P-SR",
              "1440P-SR"
            ],
            "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": 15,
            "description": "Video duration in seconds. Longer duration increases cost.",
            "type": "integer"
          },
          "prompt_extend": {
            "default": true,
            "description": "Whether to use AI to enhance the prompt for better video quality. Increases generation time.",
            "type": "boolean"
          },
          "seed": {
            "default": -1,
            "minimum": -1,
            "maximum": 2147483647,
            "description": "Random seed for video generation. Range: 0 to 2147483647. Use -1 for a random seed.",
            "type": "integer"
          }
        },
        "required": [
          "model",
          "prompt"
        ],
        "x-order-properties": [
          "model",
          "prompt",
          "negative_prompt",
          "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"
    }
  ]
}

Template de Prompt Compatível com LLM

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

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


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

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

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

- **`audio`** (`string`, _optional_):
  URL of an audio file to use as the video soundtrack. Supported formats: wav, mp3. Duration: 2–30 seconds. Maximum file size: 15 MB. The alias `audio_url` is also accepted.

- **`resolution`** (`string`, _optional_):
  Output video resolution. 720P and 1080P are native Wan 2.7 outputs. Choose 1080P-SR for sharper HD detail, cleaner edges, and better texture retention. For the same duration, 1080P-SR is priced at 80% of native 1080P before account discounts and environment-specific pricing adjustments. Choose 1440P-SR for higher-detail large-screen or publishing workflows. Final billing is calculated by the platform pricing configuration for the selected model, resolution, duration, account, and environment.
  - Default: `"1080P"`
  - Options: "720P", "1080P", "1080P-SR", "1440P-SR"

- **`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: 15

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

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



**Required Parameters Example**:

```json
{
  "model": "alibaba/wan-2.7/text-to-video",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "alibaba/wan-2.7/text-to-video",
  "prompt": "",
  "negative_prompt": "",
  "audio": "",
  "resolution": "1080P",
  "ratio": "16:9",
  "duration": 5,
  "prompt_extend": true,
  "seed": -1
}
```


### Output Schema

The API returns the following output format:


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

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

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



**Example Response**:

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


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "alibaba/wan-2.7/text-to-video",
  "prompt": "",
  "negative_prompt": "",
  "audio": "",
  "resolution": "1080P",
  "ratio": "16:9",
  "duration": 5,
  "prompt_extend": true,
  "seed": -1
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/alibaba/wan-2.7/text-to-video)

A supercar explodes out of a long dark tunnel at extreme speed, sunlight blindingly illuminating the road ahead, motion blur streaking past the tunnel walls, dust and light rays bursting into the scene, cinematic blockbuster style, ultra-realistic.

Carregando...

Alibaba WAN 2.7 Text-to-Video

Alibaba WAN 2.7 Text-to-Video generates videos from text prompts with built-in audio generation, multi-shot narrative control, and sound-image synchronization.

What makes it stand out?

Multi-shot storytelling: Describe scene-by-scene shots in the prompt, and the model generates a coherent multi-shot video with natural transitions.
Built-in audio: Generates matching sound effects, music, and ambient audio automatically based on the prompt content.
Flexible framing: Supports five aspect ratios (16:9, 9:16, 1:1, 4:3, 3:4) at 720P or 1080P resolution.
Up to 15 seconds: Generate videos from 2 to 15 seconds in a single request.
Super Resolution options: Choose 1080P-SR or 1440P-SR when you need a sharper final video with cleaner edges and improved texture detail.

Designed For

Short-form video creators producing social media clips, ads, and story reels.
Teams that need quick video drafts from a text brief without sourcing footage.
Anyone exploring creative video concepts through prompt iteration.
Publishing workflows that need a higher-detail final output from a text prompt.

Super Resolution

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

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

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

How to Use

Write a detailed prompt describing the scene, characters, actions, and mood.
For multi-shot videos, describe each shot with time markers (e.g., "Shot 1 [0-3s]: ...").
Choose the resolution and aspect ratio for your target platform.
Set the duration based on how long the final video should be.
Use prompt extend for better results on shorter prompts. Disable it when you want precise control over the output.
Choose resolution: 720P or 1080P for native generation, 1080P-SR or 1440P-SR for Super Resolution.

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$0.14/segundo

NEW

Referência para Vídeo

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 Video-edit

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

Wan-2.7 Reference-to-video

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

Wan-2.2 Image-to-video Lora

Open and Advanced Large-Scale Video Generative Models.

Wan-2.2 Image-to-video

Open and Advanced Large-Scale Video Generative Models.

From

$0.03/segundo

Imagem para Vídeo

Wan-2.2-spicy Image-to-video

Open and Advanced Large-Scale Video Generative Models.

From

$0.03/segundo

Imagem para Vídeo

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/segundo

$0.07/segundo

-30%

Uma API para toda a IA de mídia.

Explorar Todos os Modelos

Wan 2.7 Text-to-Video API by Alibaba

Entrada

Saída

Parâmetros

Exemplo de código

Instalar

Autenticação

Cabeçalhos HTTP

Enviar uma solicitação

Enviar uma solicitação

Corpo da solicitação

Resposta

Verificar status

Exemplo de polling

Valores de status

Resposta concluída

Enviar arquivos

Exemplo de upload

Resposta

Schema de entrada

Exemplo de corpo da solicitação

Schema de saída

Exemplo de resposta

Atlas Cloud Skills

Clientes compatíveis

Instalar

Configurar chave de API

Funcionalidades

MCP Server

Clientes compatíveis

Instalar

Configuração

Ferramentas disponíveis

API Schema

Template de Prompt Compatível com LLM

Alibaba WAN 2.7 Text-to-Video

What makes it stand out?

Designed For

Super Resolution

How to Use

Explorar Modelos Semelhantes

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 Video-edit

Wan-2.7 Reference-to-video

Wan-2.2 Image-to-video Lora

Wan-2.2 Image-to-video

Wan-2.2-spicy Image-to-video

Wan-2.2-spicy Image-to-video Lora

Wan-2.6 Image-to-video Flash

Wan-2.6 Video-to-video

Uma API para toda a IA de mídia.

Join our Discord community

Entrada

Saída

Parâmetros

Exemplo de código

Instalar

Autenticação

Cabeçalhos HTTP

Enviar uma solicitação

Enviar uma solicitação

Corpo da solicitação

Resposta

Verificar status

Exemplo de polling

Valores de status

Resposta concluída

Enviar arquivos

Exemplo de upload

Resposta

Schema de entrada

Exemplo de corpo da solicitação

Schema de saída