# Wan 2.7 AI Video & Image Generator (wan2-7.io) (`notusinggithub/wan27-apify-actor`) Actor

Batch generate 1080p/2K AI videos and images with Wan 2.7 (https://wan2-7.io/). Supports wan2.7-t2v, wan2.7-i2v, wan2.7-image, and wan2.7-image-pro.

- **URL**: https://apify.com/notusinggithub/wan27-apify-actor.md
- **Developed by:** [Wan27](https://apify.com/notusinggithub) (community)
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Wan 2.7 AI Video & Image Generator — Apify Actor (`wan27-apify-actor`)

Official Apify Actor for **[Wan 2.7 AI](https://wan2-7.io/)** (`wan2-7.io`). Pass a list of text prompts and your Wan 2.7 API token to generate 1080p/2K AI videos (`wan2.7-t2v`, `wan2.7-i2v`) or studio-grade images (`wan2.7-image`, `wan2.7-image-pro`) and export the hosted output URLs directly to your Apify dataset.

### Official Documentation & Links

- **Wan 2.7 Website & Studio**: <https://wan2-7.io/>
- **Wan 2.7 MCP Server**: <https://wan2-7.io/mcp/>
- **Wan 2.7 MCP Setup Guide**: <https://wan2-7.io/mcp/guide/>
- **Wan 2.7 CLI Reference**: <https://wan2-7.io/cli/>
- **Wan 2.7 Pricing & Credits**: <https://wan2-7.io/pricing/>

### Input Example

```json
{
  "apiKey": "wan27_your_api_token",
  "prompts": [
    "A neon-lit rain-soaked cybernetic street market in Tokyo at dusk, slow camera dolly push-in",
    "Aerial FPV drone shot sweeping over snow-covered alpine ridges at sunrise"
  ],
  "model": "wan2.7-t2v",
  "resolution": "1080p",
  "aspectRatio": "16:9",
  "duration": 5,
  "timeoutSecs": 600
}
```

### Output Dataset Row

```json
{
  "prompt": "A neon-lit rain-soaked cybernetic street market in Tokyo at dusk, slow camera dolly push-in",
  "model": "wan2.7-t2v",
  "resolution": "1080p",
  "aspectRatio": "16:9",
  "parameters": {
    "resolution": "1080p",
    "aspect_ratio": "16:9",
    "duration": 5
  },
  "id": "task_01j...",
  "url": "https://wan2-7.io/..."
}
```

### Deploying to Apify

In Apify Console → **Actors → Create new → Link Git Repository**, enter `https://github.com/NotUsingGithub/wan27-apify-actor` and click **Build**.

### License

MIT © [Wan27](https://wan2-7.io/)

# Actor input Schema

## `apiKey` (type: `string`):

Your API token from https://wan2-7.io/mcp/guide/ (also used by @wan27/cli and Wan 2.7 MCP). Check credit pricing at https://wan2-7.io/pricing/.

## `prompts` (type: `array`):

One AI video or image generation task per prompt.

## `model` (type: `string`):

Select a Wan 2.7 video or image generation model (see https://wan2-7.io/).

## `resolution` (type: `string`):

Output resolution tier.

## `aspectRatio` (type: `string`):

Frame aspect ratio.

## `duration` (type: `integer`):

Video clip duration in seconds (for wan2.7-t2v and wan2.7-i2v).

## `imageUrl` (type: `string`):

Optional public HTTPS image URL used as the starting frame for wan2.7-i2v.

## `timeoutSecs` (type: `integer`):

Maximum time to wait for each generation task to complete.

## Actor input object example

```json
{
  "prompts": [
    "A neon-lit rain-soaked street market in Tokyo at dusk, slow camera dolly push-in"
  ],
  "model": "wan2.7-t2v",
  "resolution": "1080p",
  "aspectRatio": "16:9",
  "duration": 5,
  "timeoutSecs": 600
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset items with prompt, model, resolution, output URL, task id, and error.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "prompts": [
        "A neon-lit rain-soaked street market in Tokyo at dusk, slow camera dolly push-in"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("notusinggithub/wan27-apify-actor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "prompts": ["A neon-lit rain-soaked street market in Tokyo at dusk, slow camera dolly push-in"] }

# Run the Actor and wait for it to finish
run = client.actor("notusinggithub/wan27-apify-actor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "prompts": [
    "A neon-lit rain-soaked street market in Tokyo at dusk, slow camera dolly push-in"
  ]
}' |
apify call notusinggithub/wan27-apify-actor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,notusinggithub/wan27-apify-actor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jaXEQW6eaCALuayWf/builds/zIdbKh4PdcVGlNP1V/openapi.json