What models are supported for image-to-image tasks?

This skill supports FLUX (Dev and Pro), SDXL, ControlNet Union, and specialized enhancement models like ESRGAN and CodeFormer.

Can I use this for professional upscaling?

Yes, it includes several high-end upscalers like ESRGAN 4x and the Clarity Upscaler for AI-enhanced detail generation up to 4x resolution.

How do I perform region-specific edits?

You can use the Inpainting feature by providing an image URL and a mask URL where white pixels indicate the areas you want the AI to edit or fill.

What is the 'strength' parameter used for in transformations?

The strength parameter (0.0 to 1.0) determines how much the original image is changed. Lower values (0.2-0.3) provide subtle style hints, while higher values (0.8+) allow for full regeneration.

Does it support background removal for products?

Absolutely, it provides access to BiRefNet, RemBG, and BRIA for high-quality, commercial-grade background subtraction.

FAL AI Image-to-Image & Enhancement

Name: FAL AI Image-to-Image & Enhancement
Author: JosiahSiegel

byJosiahSiegel

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Data Science & ML

Transforms, edits, and enhances images using state-of-the-art fal.ai models including FLUX, ControlNet, and advanced upscalers.

About

The fal-image-to-image skill provides a robust interface for the fal.ai suite of image transformation and enhancement models, enabling advanced visual workflows directly through Claude. It covers a vast range of capabilities, from FLUX-powered style transfers and ControlNet structural guidance to professional inpainting, high-resolution upscaling, and background removal. Whether you are restoring old photographs with GFPGAN, generating consistent characters with IP-Adapters, or fine-tuning image details with the Clarity upscaler, this skill offers the precise parameters and endpoints needed for high-quality, production-ready image editing.

Key Features

AI-powered upscaling and detailing via Clarity and ESRGAN
Advanced Image-to-Image transformations with FLUX and SDXL models
7 GitHub stars
Precise structural control using ControlNet (Canny, Depth, Pose, and Union)
Intelligent inpainting and outpainting with customizable mask support
Professional-grade background removal and face restoration tools

Use Cases

Restoring and upscaling low-resolution historical photos or low-quality generated images
Creating consistent character portraits or style transfers for marketing assets
Editing specific image regions to add, remove, or modify objects seamlessly via inpainting

About

Key Features

AI-powered upscaling and detailing via Clarity and ESRGAN
Advanced Image-to-Image transformations with FLUX and SDXL models
7 GitHub stars
Precise structural control using ControlNet (Canny, Depth, Pose, and Union)
Intelligent inpainting and outpainting with customizable mask support
Professional-grade background removal and face restoration tools

Use Cases

Restoring and upscaling low-resolution historical photos or low-quality generated images
Creating consistent character portraits or style transfers for marketing assets
Editing specific image regions to add, remove, or modify objects seamlessly via inpainting