Wan-2.1 is a text-to-video model that generates high-quality videos with high visual quality and motion diversity from text prompts

fal-ai/wan-t2v

Wan-2.1 is a text-to-video model that generates high-quality videos with high visual quality and motion diversity from text prompts

Inference

Commercial use

Schema

LLMs

Playground API

Input

Prompt*

Additional Settings

Customize your input with more control.

Result

Idle

What would you like to do next?

fal-ai/wan-t2v

Schema

Input

Prompt*

Additional Settings

Customize your input with more control.

Result

Idle

What would you like to do next?

Wan-2.1 (Text to Video) API on fal

Input

Prompt*

Additional Settings

Customize your input with more control.

For a video generation, your request will cost $0.2 at 480p resolution and 0.4$ at 720p resolution. For $1 you can run this model approximately 5 times. More than the default frames will cost 1.25x more.

Result

Idle

This generation takes approximately 1m.

What would you like to do next?

Readme

WAN-2.1 Text-to-Video Model

Transform text descriptions into dynamic video content with advanced AI

Overview

WAN-2.1 Text-to-Video is a powerful model that converts natural language descriptions into high-quality video sequences. Whether you're creating content for social media, marketing campaigns, or creative projects, this model helps you bring your ideas to life through video.

Key Capabilities

Transform text prompts into fluid video content with precise control over:

Video Generation

Create 5-6 second video clips from detailed text descriptions
Support for diverse styles from photorealistic to artistic
Consistent quality and coherent motion throughout sequences

Advanced Controls

Fine-tune video length (81-100 frames)
Adjust frame rate (5-24 FPS)
Control resolution (480p, 580p, or 720p)
Select aspect ratio (16:9 or 9:16)

Getting Started

Setting up WAN-2.1 Text-to-Video takes just a few minutes. Here's how to begin:

Install the SDK for your preferred language:

bash
# JavaScript/TypeScript
npm install --save @fal-ai/client

# Python
pip install fal-client

Configure your credentials:

javascript
import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

Generate your first video:

javascript
const result = await fal.subscribe("fal-ai/wan-t2v", {
  input: {
    prompt: "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage"
  }
});

Implementation Best Practices

Maximize the quality of your generated videos by following these guidelines:

Write Effective Prompts

Be specific about motion and action in your descriptions
Include details about lighting, atmosphere, and style
Specify camera movements if desired
Avoid mentioning static elements or still images

Optimize Performance

Use turbo mode for faster generation when quality trade-offs are acceptable
Enable prompt expansion for better results
Implement proper error handling
Monitor API usage through your dashboard

Technical Integration

The API supports both synchronous and asynchronous responses. For production use, implement the queue API:

javascript
// Submit request
const { request_id } = await fal.queue.submit("fal-ai/wan-t2v", {
  input: {
    prompt: "Your detailed prompt",
    resolution: "720p",
    aspect_ratio: "16:9"
  },
  webhookUrl: "https://your.webhook.url"
});

// Check status
const status = await fal.queue.status("fal-ai/wan-t2v", {
  requestId: request_id
});

// Get result
const result = await fal.queue.result("fal-ai/wan-t2v", {
  requestId: request_id
});

Use Cases

WAN-2.1 Text-to-Video excels in various applications:

Content Creation Create engaging social media content, product demonstrations, and creative visuals without traditional video production overhead.

Educational Content Generate explanatory videos for complex concepts, making learning more engaging and accessible.

Marketing and Advertising Quickly produce video assets for campaigns, product launches, and promotional materials.

Technical Specifications

Input Parameters:

prompt: Text description (required)
negative_prompt: What to avoid in generation
num_frames: 81-100 frames
frames_per_second: 5-24 FPS
resolution: 480p, 580p, or 720p
aspect_ratio: 16:9 or 9:16
enable_safety_checker: boolean
enable_prompt_expansion: boolean
turbo_mode: boolean for faster generation

Output:

Video file in MP4 format
Generation seed for reproducibility

Pricing and Usage

Simple, transparent pricing:

$0.40 per video generation
Processing time: Approximately 1 minute
Pay-per-use model with no subscription required
No hidden fees or minimum commitments

View detailed pricing or contact sales for enterprise solutions.

Support and Resources

We're here to help you succeed with WAN-2.1 Text-to-Video:

Comprehensive API documentation at fal.ai/models/fal-ai/wan-t2v/api
Active Discord community for peer support
Direct technical support through our help desk
Regular model updates and improvements

Ready to transform your text into compelling video content? Get started with WAN-2.1 Text-to-Video today by creating an account at fal.ai/login.

Readme

WAN-2.1 Text-to-Video Model

Transform text descriptions into dynamic video content with advanced AI

Overview

Key Capabilities

Transform text prompts into fluid video content with precise control over:

Video Generation

Create 5-6 second video clips from detailed text descriptions
Support for diverse styles from photorealistic to artistic
Consistent quality and coherent motion throughout sequences

Advanced Controls

Fine-tune video length (81-100 frames)
Adjust frame rate (5-24 FPS)
Control resolution (480p, 580p, or 720p)
Select aspect ratio (16:9 or 9:16)

Getting Started

Setting up WAN-2.1 Text-to-Video takes just a few minutes. Here's how to begin:

Install the SDK for your preferred language:

bash
# JavaScript/TypeScript
npm install --save @fal-ai/client

# Python
pip install fal-client

Configure your credentials:

javascript
import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

Generate your first video:

javascript
const result = await fal.subscribe("fal-ai/wan-t2v", {
  input: {
    prompt: "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage"
  }
});

Implementation Best Practices

Maximize the quality of your generated videos by following these guidelines:

Write Effective Prompts

Be specific about motion and action in your descriptions
Include details about lighting, atmosphere, and style
Specify camera movements if desired
Avoid mentioning static elements or still images

Optimize Performance

Use turbo mode for faster generation when quality trade-offs are acceptable
Enable prompt expansion for better results
Implement proper error handling
Monitor API usage through your dashboard

Technical Integration

The API supports both synchronous and asynchronous responses. For production use, implement the queue API:

javascript
// Submit request
const { request_id } = await fal.queue.submit("fal-ai/wan-t2v", {
  input: {
    prompt: "Your detailed prompt",
    resolution: "720p",
    aspect_ratio: "16:9"
  },
  webhookUrl: "https://your.webhook.url"
});

// Check status
const status = await fal.queue.status("fal-ai/wan-t2v", {
  requestId: request_id
});

// Get result
const result = await fal.queue.result("fal-ai/wan-t2v", {
  requestId: request_id
});

Use Cases

WAN-2.1 Text-to-Video excels in various applications:

Content Creation Create engaging social media content, product demonstrations, and creative visuals without traditional video production overhead.

Educational Content Generate explanatory videos for complex concepts, making learning more engaging and accessible.

Marketing and Advertising Quickly produce video assets for campaigns, product launches, and promotional materials.

Technical Specifications

Input Parameters:

prompt: Text description (required)
negative_prompt: What to avoid in generation
num_frames: 81-100 frames
frames_per_second: 5-24 FPS
resolution: 480p, 580p, or 720p
aspect_ratio: 16:9 or 9:16
enable_safety_checker: boolean
enable_prompt_expansion: boolean
turbo_mode: boolean for faster generation

Output:

Video file in MP4 format
Generation seed for reproducibility

Pricing and Usage

Simple, transparent pricing:

$0.40 per video generation
Processing time: Approximately 1 minute
Pay-per-use model with no subscription required
No hidden fees or minimum commitments

View detailed pricing or contact sales for enterprise solutions.

Support and Resources

We're here to help you succeed with WAN-2.1 Text-to-Video:

Comprehensive API documentation at fal.ai/models/fal-ai/wan-t2v/api
Active Discord community for peer support
Direct technical support through our help desk
Regular model updates and improvements

Ready to transform your text into compelling video content? Get started with WAN-2.1 Text-to-Video today by creating an account at fal.ai/login.