Reimagine and transform your ordinary photos into enchanting Studio Ghibli style artwork

fal-ai/ghiblify

Reimagine and transform your ordinary photos into enchanting Studio Ghibli style artwork

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/ghiblify

Schema

LLMs

Input

Prompt*

Additional Settings

Customize your input with more control.

Result

Idle

What would you like to do next?

Ghiblify Images (Image to Image) API on fal

Input

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

Additional Settings

Customize your input with more control.

Your request will cost $0.05 per image.

Result

Idle

What would you like to do next?

Your request will cost $0.05 per image.

Readme

Ghiblify: Transform Images into Studio Ghibli-Style Artwork

Transform your photos into enchanting Studio Ghibli-inspired artwork with Ghiblify, a specialized AI model that captures the distinctive aesthetic of acclaimed Japanese animation. Perfect for creators, developers, and animation enthusiasts looking to add magical charm to their images.

Overview

Ghiblify leverages advanced machine learning to analyze and transform regular photographs into artwork that embodies the beloved Studio Ghibli style. The model understands lighting, composition, and artistic elements characteristic of Ghibli films, delivering consistent and high-quality transformations.

Key Features

Transform any image with the distinctive characteristics of Studio Ghibli animation:

Soft, painterly textures and lighting
Characteristic color palettes inspired by Ghibli films
Preservation of original image composition while adding artistic elements
Fast processing with reliable results
Simple API integration with minimal configuration

Getting Started

Setting up Ghiblify is straightforward. First, install your preferred client library:

For JavaScript/TypeScript:

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

For Python:

bash
pip install fal-client

Authentication

Configure your API key before making requests:

JavaScript:

javascript
import { fal } from "@fal-ai/client";
fal.config({
  credentials: "YOUR_FAL_KEY_HERE"
});

Python:

python
import fal_client as fal
import os
os.environ["FAL_KEY"] = "YOUR_FAL_KEY_HERE"

Basic Usage

Here's how to transform an image using Ghiblify:

JavaScript:

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

const result = await fal.subscribe("fal-ai/ghiblify", {
  input: {
    image_url: "https://your-image-url.com/photo.jpg"
  }
});

console.log(result.data.image.url);

Python:

python
import fal_client as fal

result = fal.subscribe("fal-ai/ghiblify", {
    "image_url": "https://your-image-url.com/photo.jpg"
})

print(result.image.url)

API Parameters

Input Parameters

image_url (required): The URL of the image to transform into Ghibli style
seed (optional): Seed for reproducible results. If not provided, a random seed will be used
enable_safety_checker (optional): Whether to enable content safety checking (default: true)

Output Format

javascript
{
  "image": {
    "url": "https://generated-image-url.com/image.png",
    "content_type": "image/png",
    "file_name": "ghiblified_image.png",
    "file_size": 4404019,
    "width": 1024,
    "height": 1024
  }
}

File Handling

Ghiblify supports multiple input methods:

URL Input

javascript
input: {
  image_url: "https://publicly-accessible-image.com/image.jpg"
}

Base64 Data URI

javascript
input: {
  image_url: "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQ..."
}

File Upload via fal Storage

javascript
const file = new File([imageData], "image.jpg", { type: "image/jpeg" });
const url = await fal.storage.upload(file);

const result = await fal.subscribe("fal-ai/ghiblify", {
  input: {
    image_url: url
  }
});

Queue Management

For production applications, use the queue API:

javascript
// Submit request
const { request_id } = await fal.queue.submit("fal-ai/ghiblify", {
  input: {
    image_url: "https://your-image-url.com/photo.jpg"
  },
  webhookUrl: "https://your-webhook-endpoint.com/results"
});

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

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

Best Practices

Make the most of Ghiblify with these recommended practices:

Image Quality: Use high-resolution input images for better transformations
Supported Formats: Accepted file types include jpg, jpeg, png, webp, gif, avif
Reproducible Results: Use the seed parameter for consistent outputs
Error Handling: Implement proper try-catch blocks for network issues
API Key Security: Never expose your FAL_KEY in client-side code

javascript
try {
  const result = await fal.subscribe("fal-ai/ghiblify", {
    input: {
      image_url: "your-image-url-here"
    }
  });
  // Process successful result
} catch (error) {
  console.error("Generation failed:", error);
  // Handle error appropriately
}

Advanced Usage

For production applications, implement these recommended patterns:

Cache results when possible to optimize performance and costs:

javascript
const cache = new Map();

async function getGhiblifiedImage(imageUrl) {
  const cacheKey = imageUrl;
  
  if (cache.has(cacheKey)) {
    return cache.get(cacheKey);
  }
  
  const result = await fal.subscribe("fal-ai/ghiblify", {
    input: { image_url: imageUrl }
  });
  
  cache.set(cacheKey, result);
  return result;
}

Technical Specifications

Performance characteristics:

Input: Single image via URL or base64 data URI
Output: PNG format image (typically 1024x1024 pixels)
Processing: Image-to-image transformation
Safety: Built-in content safety checker

Troubleshooting

Common issues and solutions:

Authentication errors:

Verify your API key is correctly set
Check your account status and quota
Ensure your key has the necessary permissions

Generation failures:

Validate input image URL accessibility
Check input image format compatibility
Review API response codes for specific error details

Pricing and Usage

Cost: $0.05 per image transformation
Commercial Use: Generated content can be used commercially
Billing: Pay only for successful generations

For detailed pricing information, visit fal.ai/pricing or contact sales for enterprise solutions.

Support and Resources

Get help and learn more:

API Documentation: docs.fal.ai
Model Gallery: Browse all available models at fal.ai/models
Support: support@fal.ai
Community: Join the developer community discussions

Start transforming your images into Ghibli-style artwork today with Ghiblify. Create your API key and explore the possibilities of this unique artistic AI model.

Readme

Ghiblify: Transform Images into Studio Ghibli-Style Artwork

Overview

Key Features

Transform any image with the distinctive characteristics of Studio Ghibli animation:

Soft, painterly textures and lighting
Characteristic color palettes inspired by Ghibli films
Preservation of original image composition while adding artistic elements
Fast processing with reliable results
Simple API integration with minimal configuration

Getting Started

Setting up Ghiblify is straightforward. First, install your preferred client library:

For JavaScript/TypeScript:

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

For Python:

bash
pip install fal-client

Authentication

Configure your API key before making requests:

JavaScript:

javascript
import { fal } from "@fal-ai/client";
fal.config({
  credentials: "YOUR_FAL_KEY_HERE"
});

Python:

python
import fal_client as fal
import os
os.environ["FAL_KEY"] = "YOUR_FAL_KEY_HERE"

Basic Usage

Here's how to transform an image using Ghiblify:

JavaScript:

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

const result = await fal.subscribe("fal-ai/ghiblify", {
  input: {
    image_url: "https://your-image-url.com/photo.jpg"
  }
});

console.log(result.data.image.url);

Python:

python
import fal_client as fal

result = fal.subscribe("fal-ai/ghiblify", {
    "image_url": "https://your-image-url.com/photo.jpg"
})

print(result.image.url)

API Parameters

Input Parameters

image_url (required): The URL of the image to transform into Ghibli style
seed (optional): Seed for reproducible results. If not provided, a random seed will be used
enable_safety_checker (optional): Whether to enable content safety checking (default: true)

Output Format

javascript
{
  "image": {
    "url": "https://generated-image-url.com/image.png",
    "content_type": "image/png",
    "file_name": "ghiblified_image.png",
    "file_size": 4404019,
    "width": 1024,
    "height": 1024
  }
}

File Handling

Ghiblify supports multiple input methods:

URL Input

javascript
input: {
  image_url: "https://publicly-accessible-image.com/image.jpg"
}

Base64 Data URI

javascript
input: {
  image_url: "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQ..."
}

File Upload via fal Storage

javascript
const file = new File([imageData], "image.jpg", { type: "image/jpeg" });
const url = await fal.storage.upload(file);

const result = await fal.subscribe("fal-ai/ghiblify", {
  input: {
    image_url: url
  }
});

Queue Management

For production applications, use the queue API:

javascript
// Submit request
const { request_id } = await fal.queue.submit("fal-ai/ghiblify", {
  input: {
    image_url: "https://your-image-url.com/photo.jpg"
  },
  webhookUrl: "https://your-webhook-endpoint.com/results"
});

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

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

Best Practices

Make the most of Ghiblify with these recommended practices:

Image Quality: Use high-resolution input images for better transformations
Supported Formats: Accepted file types include jpg, jpeg, png, webp, gif, avif
Reproducible Results: Use the seed parameter for consistent outputs
Error Handling: Implement proper try-catch blocks for network issues
API Key Security: Never expose your FAL_KEY in client-side code

javascript
try {
  const result = await fal.subscribe("fal-ai/ghiblify", {
    input: {
      image_url: "your-image-url-here"
    }
  });
  // Process successful result
} catch (error) {
  console.error("Generation failed:", error);
  // Handle error appropriately
}

Advanced Usage

For production applications, implement these recommended patterns:

Cache results when possible to optimize performance and costs:

javascript
const cache = new Map();

async function getGhiblifiedImage(imageUrl) {
  const cacheKey = imageUrl;
  
  if (cache.has(cacheKey)) {
    return cache.get(cacheKey);
  }
  
  const result = await fal.subscribe("fal-ai/ghiblify", {
    input: { image_url: imageUrl }
  });
  
  cache.set(cacheKey, result);
  return result;
}

Technical Specifications

Performance characteristics:

Input: Single image via URL or base64 data URI
Output: PNG format image (typically 1024x1024 pixels)
Processing: Image-to-image transformation
Safety: Built-in content safety checker

Troubleshooting

Common issues and solutions:

Authentication errors:

Verify your API key is correctly set
Check your account status and quota
Ensure your key has the necessary permissions

Generation failures:

Validate input image URL accessibility
Check input image format compatibility
Review API response codes for specific error details

Pricing and Usage

Cost: $0.05 per image transformation
Commercial Use: Generated content can be used commercially
Billing: Pay only for successful generations

For detailed pricing information, visit fal.ai/pricing or contact sales for enterprise solutions.

Support and Resources

Get help and learn more:

API Documentation: docs.fal.ai
Model Gallery: Browse all available models at fal.ai/models
Support: support@fal.ai
Community: Join the developer community discussions

Start transforming your images into Ghibli-style artwork today with Ghiblify. Create your API key and explore the possibilities of this unique artistic AI model.