Stable Diffusion 2 NEW Image Post Processing Scripts And Best Class / Regularization Images Datasets

In this video I share 2 new scripts that you can utilize to post process Stable Diffusion generated classification / regularization images in higher resolution. With these 2 custom scripts made by me, you can automatically detect multiple or 0 face having pictures or low coloring quality having pictures. Moreover, you can remove NSFW images from your datasets and distill your dataset to improve your training quality. Furthermore, I share 6 amazing post processed photo of man classification images datasets for Deliberate, DreamShaper and revAnimated custom Stable Diffusion models.

Link To The Scripts And Datasets ⤵️ https://www.patreon.com/posts/84292083

Patreon posts index ⤵️ https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/Patreon-Posts-Index.md

How to install and setup Python ⤵️ https://youtu.be/B5U7LJOvH6g

Visual Studio Community Edition for NSFW images remover ⤵️ https://visualstudio.microsoft.com/vs/

Our Discord server ⤵️ https://bit.ly/SECoursesDiscord

If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on 🥰 ⤵️ https://www.patreon.com/SECourses

Technology & Science: News, Tips, Tutorials, Tricks, Best Applications, Guides, Reviews ⤵️ https://www.youtube.com/playlist?list=PL_pbwdIyffsnkay6X91BWb9rrfLATUMr3

Playlist of StableDiffusion Tutorials, Automatic1111 and Google Colab Guides, DreamBooth, Textual Inversion / Embedding, LoRA, AI Upscaling, Pix2Pix, Img2Img ⤵️ https://www.youtube.com/playlist?list=PL_pbwdIyffsmclLl0O144nQRnezKlNdx3

0:00 Introduction to new class / reg images datasets and the new scripts 0:11 Post processing script that cleans Stable Diffusion generated images 3:10 How to install and use post processing cleaning script 5:16 NSFW images auto remover script 7:14 How to use NSFW images remover script 9:10 Which classification / regularization images datasets I am sharing with the community

Unleashing the Power of Scripts and Datasets for Image Processing and Classification

In a recent YouTube video, an innovative content creator shared valuable insights and resources with their community. The video highlighted the release of two new scripts, namely the Post Process Script and the Not Safe for Work (NSFW) Images Remover Script. These scripts aim to enhance the quality and classification of images generated by various models. Additionally, the video introduced six new classification image datasets, which can be accessed through the creator's Patreon page. This article will provide an overview of the scripts, their functionalities, and the datasets, along with additional information about the creator's endeavors.

Script 1: Post Process Script

The Post Process Script offers an effective solution for refining images generated at higher resolutions. When utilizing a deliberate model, images often contain anomalies such as multiple faces, black and white visuals, or NSFW content. The raw output of 768 pixels by 1024 pixels can benefit from the Post Process Script, which automatically identifies and removes such anomalies.

The script consists of three parts: installation, processing, and script execution. To begin, users need to execute the "install.bat" file, which sets up a virtual environment and installs the necessary dependencies for the script. After installation, users can modify the folder addresses in the script, specifying the locations for saving post-processed images, multiple-face images, zero-face images, and low-color images. It is crucial to customize these addresses to suit individual requirements.

Moreover, the script offers flexibility in GPU usage. Users with multiple GPUs can configure the script to utilize their preferred GPU(s). The script's requirements are minimal, as it only necessitates TensorFlow and Retina Face libraries. It is important to note that the script operates optimally on Windows systems running Python 3.10.x.

Script 2: NSFW Images Remover Script

The NSFW Images Remover Script serves as a powerful tool for filtering and improving the quality of image datasets by eliminating NSFW content. This script, written in C#, effectively identifies and removes not safe for work images from a given dataset. While the script is primarily written for users of Visual Studio Community Edition, an executable file is also available for those without Visual Studio.

To use the script, users must download and extract the files. For developers, installing the "NsfwSpy" library via NuGet packages is necessary. Configuring the source folder path, NSFW folder path, and the new folder path is crucial before running the script. Once set up, users can execute the application to initiate the processing of images. Currently, the NSFW Images Remover Script performs better on CPU, and while GPU testing has been conducted, it yields suboptimal results. ... https://www.youtube.com/watch?v=olX1mySE8HA