upscayl VS ultimate-upscale-for-automatic1111

Compare upscayl vs ultimate-upscale-for-automatic1111 and see what are their differences.

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upscayl ultimate-upscale-for-automatic1111
125 52
26,430 1,490
13.1% -
9.6 4.2
2 days ago about 2 months ago
TypeScript Python
GNU Affero General Public License v3.0 GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

upscayl

Posts with mentions or reviews of upscayl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-24.

ultimate-upscale-for-automatic1111

Posts with mentions or reviews of ultimate-upscale-for-automatic1111. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-27.

What are some alternatives?

When comparing upscayl and ultimate-upscale-for-automatic1111 you can also consider the following projects:

waifu2x - Image Super-Resolution for Anime-Style Art

chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.

Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

multidiffusion-upscaler-for-automatic1111 - Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0

InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

adetailer - Auto detecting, masking and inpainting with detection model.

SHARK - SHARK - High Performance Machine Learning Distribution

automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models

cupscale - Image Upscaling GUI based on ESRGAN

stable-diffusion-webui - Stable Diffusion web UI