stable-diffusion-webui-scripts VS nQuantCpp

Compare stable-diffusion-webui-scripts vs nQuantCpp and see what are their differences.

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stable-diffusion-webui-scripts nQuantCpp
5 2
46 104
- -
10.0 8.5
over 1 year ago 10 days ago
Python C++
- 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.

stable-diffusion-webui-scripts

Posts with mentions or reviews of stable-diffusion-webui-scripts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-28.

nQuantCpp

Posts with mentions or reviews of nQuantCpp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-28.

What are some alternatives?

When comparing stable-diffusion-webui-scripts and nQuantCpp you can also consider the following projects:

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

sd-pixel - Quickly and easily perform downscaling, color palette limiting, and other useful pixel art effects through the extras tab.

sd-webui-pixelart - Pixel art postprocessing extension for stable diffusion AUTOMATIC1111 webui

PXL8 - Pixel art diffusion

stable-diffusion-webui-pixelization - stable-diffusion-webui-pixelization

StableFusion - Transform text into images and images into new ones using AI. Our user-friendly web app, built with Diffusion, Python, and Streamlit, offers customizable outputs in various styles and formats

multi-subject-render - Generate multiple complex subjects all at once!

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