FLUX.1 [dev] Image-to-Image Editing | AI Image Editor | fal

Try H3 Max Director

FLUX.1 [dev] Image-to-Image Editing | AI Image Editor | 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

Prompt*

Type # to reference inputs.

Additional Settings

Customize your input with more control.

Your request will cost $0.03 per megapixel.

Images are billed by rounding up to the nearest megapixel.

Result

Idle

What would you like to do next?

Your request will cost $0.03 per megapixel.

Images are billed by rounding up to the nearest megapixel.

Readme

FLUX.1 [dev] Image-to-Image - High-Performance Image Transformation API

Transform your existing images into stunning visuals with FLUX.1 [dev] Image-to-Image, a high-performance endpoint that enables rapid transformation of existing images, delivering high-quality style transfers and image modifications with the core FLUX capabilities.

Overview

FLUX.1 Image-to-Image is built on the powerful 12-billion parameter FLUX.1 [dev] flow transformer, designed specifically for transforming existing images based on text prompts. The model excels at style transfers, image modifications, and artistic variations while preserving the core composition of the input image.

Key Capabilities

Image-to-Image Transformation

Transform existing images using natural language descriptions
High-quality style transfers and artistic modifications
Preserve core composition while applying creative changes
Support for various image formats: jpg, jpeg, png, webp, gif, avif

Performance Optimizations

Rapid transformation with optimized inference pipeline
Production-ready API with enterprise scalability
Suitable for both personal and commercial use
Consistent, high-quality results across multiple generations

Getting Started

Setting up FLUX.1 Image-to-Image 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

Initialize the client with your API key:

javascript
import { fal } from '@fal-ai/client'

fal.config({
  credentials: 'YOUR_API_KEY'
})

Making Your First API Call

Transform your first image with this example:

javascript
const result = await fal.subscribe('fal-ai/flux/dev/image-to-image', {
  input: {
    image_url: 'https://your-image-url.com/image.jpg',
    prompt: 'Transform this into a watercolor painting style',
    strength: 0.8
  }
})

Best Practices

Maximize the quality of your image transformations:

Write Clear, Descriptive Prompts

Consider including specific details about the desired style, artistic direction, or modifications. For example, instead of "make it artistic", try "transform into a vibrant oil painting with visible brush strokes and rich colors".

Optimize Transformation Parameters

Use strength parameter to control how much the image changes (0.1 = minimal change, 1.0 = maximum transformation)
Start with moderate strength values around 0.7-0.8 for most use cases
Use consistent seeds when you need reproducible results

Handle Input Images

Ensure input images are high quality for best results
Supported formats: jpg, jpeg, png, webp, gif, avif
Use drag-and-drop functionality or provide base64 encoded data URLs

Technical Specifications

Model Architecture

12 billion parameter FLUX.1 [dev] flow transformer
Optimized for image-to-image transformations
Commercial usage rights included
High-performance inference pipeline

API Parameters

image_url: Input image to transform (required)
prompt: Text description of desired transformation (required)
strength: Transformation intensity (default: 0.95)
num_inference_steps: Generation steps (default: 40)
guidance_scale: Prompt adherence (default: 3.5)
seed: For reproducible results
safety_checker: Content safety filtering (default: true)

Performance

Optimized inference for rapid transformations
Concurrent request handling capability
Enterprise-grade reliability and uptime

Integration Support

Our comprehensive SDK support makes it easy to integrate FLUX.1 Image-to-Image into your existing workflow:

Development Tools

Official JavaScript/TypeScript SDK
Python client library
REST API access with detailed documentation
Comprehensive error handling and status monitoring

Documentation Resources

Complete API reference documentation
Code examples and integration tutorials
Best practices guides
Troubleshooting and support resources

Pricing and Usage

Your request will cost $0.03 per megapixel. Images are billed by rounding up to the nearest megapixel. Our transparent, usage-based pricing scales with your needs:

Cost-effective: $0.03 per megapixel for image transformations
Commercial usage rights included
No subscription fees or minimum commitments
Transparent billing with clear pricing structure

View detailed pricing or contact sales for enterprise solutions.

Use Cases

Style Transfer and Artistic Transformation Convert photographs into paintings, sketches, or other artistic styles while maintaining the original composition and subject matter.

Image Enhancement and Modification Modify lighting, colors, textures, or artistic direction of existing images based on natural language descriptions.

Creative Workflows Ideal for designers, artists, and content creators who need to quickly explore different visual styles and modifications of existing images.

Commercial Applications Perfect for marketing materials, social media content, and product imagery that requires style consistency or artistic enhancement.

Getting Help

We're here to support your implementation:

Technical Documentation: Visit our detailed docs at https://docs.fal.ai/
API Reference: Complete endpoint documentation and parameters
Support: Contact our technical team for assistance

Start transforming your images with FLUX.1 [dev] Image-to-Image today and bring your creative visions to life with state-of-the-art image transformation capabilities.

Get Started Now | View Documentation | Try Image-to-Image