chaiNNer is described as 'A flowchart/node-based image processing GUI aimed at making chaining image processing tasks (especially upscaling done by neural networks) easy, intuitive, and customizable' and is a Image Upscaling app in the photos & graphics category. There are more than 50 alternatives to chaiNNer for a variety of platforms, including Windows, Web-based, Mac, Linux and Android apps. The best chaiNNer alternative is Upscayl, which is both free and Open Source. Other great apps like chaiNNer are A1111 Stable Diffusion WEB UI, waifu2x, ComfyUI and Topaz Gigapixel.
Weavy uses a node based workflow that connects multiple AI models and editing tools in one unified canvas, allowing creators to build and adjust complex processes without switching apps. With this setup, they can branch prompts, compare model outputs, and refine results in real...
RealScaler is a Windows app based on Real-ESRGAN AI to enhance, enlarge and reduce noise in photographs and videos.
An Android application for super-resolution & interpolation. Contains RealSR-NCNN, SRMD-NCNN, RealCUGAN-NCNN, Real-ESRGAN-NCNN, Waifu2x-NCNN, Anime4kcpp, nearest, bilinear, bicubic, AVIR...
RealSR-NCNN-Android is the most popular Android alternative to chaiNNer.
Remini makes old, blurred or low quality photos taken with old cameras or mobile phones to high-definition and clarity.
Remini is the most popular iPhone alternative to chaiNNer.
Using the latest Deep Convolutional Neural Networks(based on waifu2x). It intelligently reduces noise and serration in images to enlarge them without losing quality. See demo images.
AI-driven online service for image upscaling and enhancement, increasing image resolution up to 4x, removing JPEG artifacts, balancing sharpness and softness, and providing free, fast, and intuitive processing. No technical expertise or installation needed.
Upscale.media is the most popular iPad & Android Tablet alternative to chaiNNer.
Anime4K is a set of open-source, high-quality real-time anime upscaling/denoising algorithms that can be implemented in any programming language.
Elevate your images with cutting-edge AI technology and a suite of tools for restoration, upscaling, and more.
jdPixelUpscaler upscales images by simply replacing one pixel with several of the same color. For example, if you set the scaling factor to 2, one pixel becomes 2x2 pixels of the same color. No attention is paid to the surrounding pixels or to transitions.
SuperImage is a neural network based image upscaling application for Android built with the MNN deep learning framework and Real-ESRGAN.
Recent state-of-the-art super-resolution methods have achieved impressive performance on ideal datasets regardless of blur and noise. However, these methods always fail in real-world image super-resolution, since most of them adopt simple bicubic downsampling from high-quality...
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