Sanster/lama-cleanerArchived
Lama Cleaner
Lama Cleaner is an AI-powered image editing application focused on inpainting, object removal, and generative filling. It provides a suite of tools for erasing unwanted elements from photos and filling the resulting gaps using generative artificial intelligence.
The project includes specialized capabilities for image outpainting to extend borders, background removal through object segmentation, and face restoration to fix visual defects. It also features an image upscaler to increase resolution and clarity via super-resolution AI, as well as a Stable Diffusion-based editor for replacing specific image elements with new content.
Beyond individual edits, the software supports batch image processing via a command-line interface to apply filling and expansion tasks across entire folders of files.
Features
- Image Inpainting - Removes unwanted objects and defects using generative AI to fill masked regions of photos.
- Object Removal - Offers specialized AI tools for removing unwanted objects, people, and defects from images.
- Image Diffusion Models - Implements image diffusion models to iteratively refine noise into coherent pixels for filling and extending images.
- Stable Diffusion Web Interfaces - Offers a web interface for performing generative filling and border extension via Stable Diffusion.
- Image Editing - Swaps existing objects or elements within an image with new content using diffusion models.
- Outpainting - Provides AI-driven image outpainting to naturally extend the borders of a picture.
- Generative Content Replacement - Replaces specific image elements with new visual content using Stable Diffusion models.
- Outpainting - Extends picture borders by generating new pixels that blend naturally with the existing scene.
- Mask-Based Area Replacement - Uses binary spatial masks to replace specific image regions with new generative content.
- Object Mask Generators - Generates precise object masks through segmentation models to enable targeted editing and background removal.
- Image Super Resolution Models - Employs deep learning architectures to increase image resolution and reconstruct fine details.
- Image Restoration and Enhancement - Enhances photo quality through face restoration and resolution upscaling to increase clarity.
- Image Processing Batchers - Provides a command-line utility for executing generative filling and expansion tasks across entire image folders.
- Background Removal Tools - Isolates subjects by stripping backgrounds or generating foreground masks using segmentation models.
- AI Upscaling - Increases resolution and clarity of photographs through super-resolution artificial intelligence.
- Face Restoration - Fixes visual defects and improves the quality of human faces using generative restoration.
- Advanced Image Manipulation - AI-powered image inpainting tool.
