fal-image-edit

AI-powered image editing with style transfer and object removal

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Install

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Download and extract to your skills directory

Copy command and send to OpenClaw for auto-install:

Download and install this skill https://openskills.cc/api/download?slug=sickn33-skills-fal-image-edit&locale=en&source=copy

Fal Image Edit - AI Image Editing Skills

Overview


Fal Image Edit is an AI image editing skill based on the fal.ai platform. It supports a range of editing operations such as style transfer, object removal, background replacement, and image inpainting, helping users accomplish complex image processing tasks with simple instructions.

Use Cases

  • Art Creation and Style Transformation

  • When you want to convert a normal photo into an anime style, oil painting style, or other artistic styles, you can use the style transfer feature. By adjusting the strength parameter, you can achieve different results—from subtle to dramatic.

  • Photo Content Optimization

  • If you need to remove unwanted people, objects, or blemishes in a photo, use the object removal feature. It supports precise control with a mask, or you can complete the edit directly through a textual description.

  • Background Replacement and Environmental Compositing

  • For changing backgrounds in ID photos, placing people in different scenes, or replacing product backgrounds, the background replacement feature can intelligently preserve the subject while swapping in a new background environment.

    Core Features

  • Style Transfer

  • Apply an artistic style to an image, offering multiple effects ranging from subtle adjustments to fully stylized results. Control the editing intensity with the strength parameter (0.3–0.5 for subtle effects, 0.7–0.9 for dramatic effects).

  • Object Removal

  • Intelligently identify and remove objects or people that you don’t want in the image. You can use a mask for precise control, or remove the target directly through a textual description.

  • Background Change

  • Replace or swap the image background while preserving the subject’s features. Suitable for processing ID photos, optimizing product images, creative compositing, and more.

  • Inpainting

  • Use a mask to mark the areas that need to be repaired. The AI will automatically fill in matching content. Suitable for fixing damaged photos, removing watermarks, or redrawing specific regions.

    FAQ

    What is Fal Image Edit? What can it do?


    Fal Image Edit is a Claude skill that provides image editing capabilities through AI models on the fal.ai platform. It supports style transfer, object removal, background replacement, image inpainting, and instruction-based editing. Users only need to provide the image URL and an edit description to complete complex image processing tasks.

    How do I use AI to remove objects from an image?


    Provide the image URL and a description of the object to remove, and set operation to remove. For example:
    bash /mnt/skills/user/fal-image-edit/scripts/edit-image.sh \
    --image-url "image address" \
    --prompt "remove the person on the left" \
    --operation remove

    For complex scenes, use a mask for more precise results.

    How should I set the editing strength parameter strength?


    The strength parameter controls the editing intensity, with a range of 0.0–1.0 and a default value of 0.75:
  • 0.3–0.5: Subtle adjustments, keeping most features of the original image

  • 0.6–0.8: Medium strength, balancing the original image and the new effect

  • 0.85–1.0: Strong effects, where the new style or edit will be very noticeable
  • Adjust the parameter based on the actual results. Too low may produce an effect that’s not obvious, while too high may overly change the original image.

    Do I need to provide a mask when editing images?


    Mask usage is recommended for object removal and inpainting to achieve more accurate results. Use PNG format masks: white areas indicate the parts that need to be edited, and black areas indicate the parts to keep. Style transfer and background replacement typically do not require a mask and can be done via text descriptions.