Wan-2.1 flf2v generates dynamic videos by intelligently bridging a given first frame to a desired end frame through smooth, coherent motion sequences.

fal-ai/wan-flf2v

Wan-2.1 flf2v generates dynamic videos by intelligently bridging a given first frame to a desired end frame through smooth, coherent motion sequences.

Inference

Commercial use

Schema

Playground API

SandboxOpen in Sandbox

Input

Prompt*

Additional Settings

Customize your input with more control.

Result

Idle

What would you like to do next?

fal-ai/wan-flf2v

Schema

Input

Prompt*

Additional Settings

Customize your input with more control.

Result

Idle

What would you like to do next?

Input

Prompt*

Type # to reference inputs.

Start Image Url*

Hint: Drag and drop image files from your computer, images from web pages, paste from clipboard (Ctrl/Cmd+V), or provide a URL. Accepted file types: jpg, jpeg, png, webp, gif, avif, heic, heif

End Image Url*

Hint: Drag and drop image files from your computer, images from web pages, paste from clipboard (Ctrl/Cmd+V), or provide a URL. Accepted file types: jpg, jpeg, png, webp, gif, avif, heic, heif

Loras

Additional Settings

Customize your input with more control.

Result

Idle

This generation takes approximately 1m.

What would you like to do next?

For a video generation, your request will cost $0.20 at 480p resolution and $0.40 at 720p resolution. For $1 you can generate 5 videos at 480p or 2 at 720p with the default frames. More than the default frames will cost 1.25x more.

Readme

Wan-2.1 First-Last-Frame-to-Video

Advanced AI Model for Dynamic Video Generation from Key Frames

Transform your creative workflows with Wan-2.1 FLF2V, a powerful AI model that generates smooth, coherent video sequences by intelligently bridging between first and last frame images.

Overview

Wan-2.1 FLF2V delivers high-quality video generation by synthesizing intermediate frames between user-specified start and end images. Built on fal.ai's robust infrastructure, it offers seamless integration options through both REST APIs and native SDKs.

Key Benefits

Transform your applications with Wan-2.1 FLF2V's unique advantages:

Generate dynamic videos from just two frame images
Create smooth, natural transitions between scenes
Produce 720p high-definition video output
Fast processing times (approximately 1 minute)
Commercial use permitted

Getting Started

Getting up and running with Wan-2.1 FLF2V takes just a few minutes. Here's how to begin:

Install your preferred SDK:

For JavaScript/TypeScript:

bash
npm install --save @fal-ai/client

For Python:

bash
pip install fal-client

Configure your authentication:

JavaScript:

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

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

Python:

python
import fal_client
import os

os.environ["FAL_KEY"] = "YOUR_FAL_KEY"

Implementation Example

Here's a practical example of generating videos with Wan-2.1 FLF2V:

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

async function generateVideo() {
  try {
    const result = await fal.subscribe("fal-ai/wan-flf2v", {
      input: {
        first_frame_url: "https://your-domain.com/first-frame.jpg",
        last_frame_url: "https://your-domain.com/last-frame.jpg",
        prompt: "Smooth transition between frames",
        resolution: "720p"
      }
    });
    return result;
  } catch (error) {
    console.error("Generation failed:", error);
  }
}

Best Practices

Maximize your results by following these proven approaches:

Use high-quality images for first and last frames
Ensure both frames have consistent aspect ratios
Write clear prompts to guide the transition
Choose appropriate resolution based on your needs
Implement proper error handling for production environments

Advanced Usage

For production deployments, consider implementing these patterns:

Queue-based Processing:

javascript
const { request_id } = await fal.queue.submit("fal-ai/wan-flf2v", {
  input: {
    first_frame_url: "your-first-frame.jpg",
    last_frame_url: "your-last-frame.jpg",
    prompt: "Your transition description"
  },
  webhookUrl: "https://your-webhook.url"
});

// Check status
const status = await fal.queue.status("fal-ai/wan-flf2v", {
  requestId: request_id
});

// Get result
const result = await fal.queue.result("fal-ai/wan-flf2v", {
  requestId: request_id
});

File Upload Support:

javascript
const file = new File([imageData], "frame.jpg", { type: "image/jpeg" });
const url = await fal.storage.upload(file);
// Use the uploaded URL in your request

Technical Specifications

Input Requirements:

First frame image: JPG, JPEG, PNG, WEBP, GIF, AVIF formats
Last frame image: Same formats as above
Resolution options: 480p or 720p

Output:

Format: MP4 video
Resolution: 480p or 720p (based on input)
Processing time: Approximately 1 minute

Integration Support

Our comprehensive support ensures smooth implementation:

Detailed API documentation
Direct technical support through fal.ai's support channels
Regular updates and performance improvements
Community Discord for knowledge sharing
Example code and integration patterns

Pricing and Usage

Transparent, usage-based pricing:

480p resolution: $0.20 per video generation
720p resolution: $0.40 per video generation
Pay-per-use model with no subscription required
No hidden fees or minimum commitments

Example: For $1, you can generate approximately 5 videos at 480p or 2.5 videos at 720p.

View detailed pricing or contact sales for enterprise solutions.

Getting Help

We're here to support your implementation:

Visit our documentation at fal.ai/models/fal-ai/wan-flf2v
Join our community Discord for real-time assistance
Contact our support team for technical questions
Check our blog for tutorials and best practices
Monitor system status at status.fal.ai

Start building with Wan-2.1 FLF2V today and experience powerful video generation from key frames. Create your free account at fal.ai/login to begin exploring the possibilities.

Readme

Wan-2.1 First-Last-Frame-to-Video

Advanced AI Model for Dynamic Video Generation from Key Frames

Transform your creative workflows with Wan-2.1 FLF2V, a powerful AI model that generates smooth, coherent video sequences by intelligently bridging between first and last frame images.

Overview

Key Benefits

Transform your applications with Wan-2.1 FLF2V's unique advantages:

Generate dynamic videos from just two frame images
Create smooth, natural transitions between scenes
Produce 720p high-definition video output
Fast processing times (approximately 1 minute)
Commercial use permitted

Getting Started

Getting up and running with Wan-2.1 FLF2V takes just a few minutes. Here's how to begin:

Install your preferred SDK:

For JavaScript/TypeScript:

bash
npm install --save @fal-ai/client

For Python:

bash
pip install fal-client

Configure your authentication:

JavaScript:

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

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

Python:

python
import fal_client
import os

os.environ["FAL_KEY"] = "YOUR_FAL_KEY"

Implementation Example

Here's a practical example of generating videos with Wan-2.1 FLF2V:

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

async function generateVideo() {
  try {
    const result = await fal.subscribe("fal-ai/wan-flf2v", {
      input: {
        first_frame_url: "https://your-domain.com/first-frame.jpg",
        last_frame_url: "https://your-domain.com/last-frame.jpg",
        prompt: "Smooth transition between frames",
        resolution: "720p"
      }
    });
    return result;
  } catch (error) {
    console.error("Generation failed:", error);
  }
}

Best Practices

Maximize your results by following these proven approaches:

Use high-quality images for first and last frames
Ensure both frames have consistent aspect ratios
Write clear prompts to guide the transition
Choose appropriate resolution based on your needs
Implement proper error handling for production environments

Advanced Usage

For production deployments, consider implementing these patterns:

Queue-based Processing:

javascript
const { request_id } = await fal.queue.submit("fal-ai/wan-flf2v", {
  input: {
    first_frame_url: "your-first-frame.jpg",
    last_frame_url: "your-last-frame.jpg",
    prompt: "Your transition description"
  },
  webhookUrl: "https://your-webhook.url"
});

// Check status
const status = await fal.queue.status("fal-ai/wan-flf2v", {
  requestId: request_id
});

// Get result
const result = await fal.queue.result("fal-ai/wan-flf2v", {
  requestId: request_id
});

File Upload Support:

javascript
const file = new File([imageData], "frame.jpg", { type: "image/jpeg" });
const url = await fal.storage.upload(file);
// Use the uploaded URL in your request

Technical Specifications

Input Requirements:

First frame image: JPG, JPEG, PNG, WEBP, GIF, AVIF formats
Last frame image: Same formats as above
Resolution options: 480p or 720p

Output:

Format: MP4 video
Resolution: 480p or 720p (based on input)
Processing time: Approximately 1 minute

Integration Support

Our comprehensive support ensures smooth implementation:

Detailed API documentation
Direct technical support through fal.ai's support channels
Regular updates and performance improvements
Community Discord for knowledge sharing
Example code and integration patterns

Pricing and Usage

Transparent, usage-based pricing:

480p resolution: $0.20 per video generation
720p resolution: $0.40 per video generation
Pay-per-use model with no subscription required
No hidden fees or minimum commitments

Example: For $1, you can generate approximately 5 videos at 480p or 2.5 videos at 720p.

View detailed pricing or contact sales for enterprise solutions.

Getting Help

We're here to support your implementation:

Visit our documentation at fal.ai/models/fal-ai/wan-flf2v
Join our community Discord for real-time assistance
Contact our support team for technical questions
Check our blog for tutorials and best practices
Monitor system status at status.fal.ai

Start building with Wan-2.1 FLF2V today and experience powerful video generation from key frames. Create your free account at fal.ai/login to begin exploring the possibilities.

Wan-2.1 First-Last-Frame-to-Video (Image to Video) API on fal