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August 27, 2025 · View on GitHub

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SECourses Patreon

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Your Patreon support is tremendously important for me so thank you so much

Patreon Sharings Index

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

Amazing Generative AI Scripts

https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/Amazing-Generative-AI-Scripts.md

Generative AI Updates & News

https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/Generative-AI-Updates-And-News.md

RTX 5000 Series supporting pre-compiled GroundingDINO with Torch 2.7 official version

RTX 5000 Series Official Torch 2.7 and pre-compiled xFormers and Triton installers - latest

Monkey Patch Example for Python APPs and Libraries

  • Download the zip file and install Windows_Install_ALL_GPUs.bat
  • It will install Practical-RIFE
  • Look Practical-RIFE folder and look for inference_video.py
  • You will see there we monkey-patch (monkey patch) numpy to work older library with newer numpy version
  • Zip file : https://www.patreon.com/posts/123105403
  • This above post has installer for Wan 2.1 Ultra Advanced Gradio APP for - Works as low as 4GB VRAM - 1-Click Installers for Windows, RunPod, Massed Compute - Batch Processing - T2V - I2V - V2V

Windows AI APPs Installer for RTX 5000 Series like RTX 5070, RTX 5080, RTX 5090 etc

  • Download the zip file and look for Windows_Install_RTX_5000_Series.bat
  • It has pre-compiled wheels installers for RTX 5000 Series for
  • Torch 2.7 and Torchvision for CU128
  • Flash Attention 2.7.4 for CU128 - pre-compiled
  • Triton and DeepSpeed
  • Zip file : https://www.patreon.com/posts/123105403
  • This above post has installer for Wan 2.1 AI Video Model APP for Windows, RunPod, Massed Compute and Kaggle

Example code that sets up proper CUDA (12+) and cuDNN (9+) on Kaggle notebook

  • Download the zip file in below post
  • Load Kaggle notebook into any editor
  • You will see how it downloads and sets CUDA and cuDNN
  • Zip file : https://www.patreon.com/posts/119254105
  • This above post has installer for LivePortrait APP for Windows, RunPod, Massed Compute and Kaggle

cuDNN 9.7 Install Command on Linux System and How To Make APPs Use It

  • Download the zip file in below post
  • Massed_Compute_Install.sh file has cuDNN install code
  • Massed_Compute_Instructions_READ.txt shows how to set its installed path to be used by the python APP
  • Zip file : https://www.patreon.com/posts/121570322
  • This above post has installer for VisoMaster app

Python 3.10 Pre-Compiled Wheel for diffoctreerast and diff-gaussian-rasterization

  • I have pre-compiled diffoctreerast and diff_gaussian_rasterization for Python 3.10
  • When you download attached zip file from below post check out
  • Windows_Install.bat for Python 3.10
  • Just use any word editor to see their content
  • Zip file : https://www.patreon.com/posts/117470976
  • This zip file contains Python venv installers for TRELLIS from Microsoft to generate 3D assets from Images as GLB file and also Gaussian Splatting ply

Python 3.10 and 3.11 Pre-Compiled Wheel for insightface

  • I have pre-compiled insightface both for Python 3.10 and 3.11 for Windows systems with CUDA 12.4+
  • When you download attached zip file from below post check out
  • Windows_Install.bat for Python 3.10 and
  • Windows_Install_Python_3_11.bat for Python 3.11
  • Just use any word editor to see their content
  • Zip file : https://www.patreon.com/posts/105023709
  • This zip file contains Python venv installers for ComfyUI, FaceID, IP-Adapter, InsightFace Automatic Installers for Windows, RunPod, Massed Compute, Linux

Python 3.10 Windows Pre-Compiled Wheel for MultiScaleDeformableAttention

  • We are using pre-compiled MultiScaleDeformableAttention wheel for Live Portrait installer
  • Download zip file and edit Windows_Start_app.bat file and you will see how to use
  • The zip file shared in following link : https://www.patreon.com/posts/119254105

How to do Multiprocessing Statistics

  • Let's say you are starting a batch multi-process processing in a Python app
  • Having synchronized data transfer and statistics between processes is too hard
  • This below Joy_Caption_Alpha_Two.py starts multiple batch captioning on each given GPU and has necessary code and custom class Statistics to ensure proper data synchronization between multiple started processes
  • https://www.patreon.com/posts/118827960
  • Tested on Windows and works great - should work perfectly on Linux as well

How to 1-Copy Paste Install cuDNN 9.6 on Linux / Ubuntu and Set as System Wide Default

  • If you are having problem with ONNX GPU Runtime due to cuDNN mismatch here the solution
  • The RunPod installer script (RunPod_Install.sh) in below post has accurate install instructions and commands to install cuDNN and set as default
  • https://www.patreon.com/posts/119081500
  • Tested on Roop Unleashed on RunPod

TorchAudio compatiable FFmpeg and FFmpeg Tools Automatic Installer for Python VENVs on Windows

  • If you are having errors related torio package this is the scripts you need
  • Script link : https://www.patreon.com/posts/117990364
  • This script has automatic downloaders and accurate folder installers for missing FFmpeg DLL files
  • This script solves the following errors
    • ImportError: Failed to intialize FFmpeg extension. Tried versions: ['6', '5', '4', ''].
    • File "venv\lib\site-packages\torio_extension\utils.py", line 122, in _find_ffmpeg_extension

Run Any Browser Accessible APP via Cloudflared

  • With Cloudflared, for free, you can access any app that is running on a remote PC via your browser in your PC, Phone, Tablet, TV etc
  • Look at the Massed_Compute_Instructions_READ.txt and Massed_Compute_Install.sh to learn how to use Cloudflared amazing tunneling feature
  • Way better than ngrok and it is for free no bandwith limit
  • Patreon post : https://www.patreon.com/posts/117326651

Uber Fast Hugging Face Repo Model Downloading Scripts - Single File Unlimited Speed

  • Normally downloads from Hugging Face repos are limited to 40 MB per second
  • With the strategy used in download models script in the below post attached zip file, you can download model from Hugging Face Ultra fast without any speed limitation
  • Kohya FLUX Fine Tuning (Full Checkpoints) Training Full Tutorial For Local Windows and Cloud RunPod and Massed Compute
  • Patreon post : https://www.patreon.com/posts/112099700

WGET Alternative Very Fast Downloader Scripts Single Line - Multiple Connection wget

  • The attached Kaggle notebook is using this special strategy to download models uber fast on Kaggle
  • Would work on every platform
  • Free Kaggle Account Notebook for SwarmUI with FLUX, SD 1.5, SDXL & Stable Diffusion 3.5 Large and Dual T4 GPU support
  • Patreon post : https://www.patreon.com/posts/106650931

How to Install CUDA 12.4 and set as default - easy - also installs cuDNN latest and works with LivePortrait XPose/models/UniPose local building

How to Set Both System Path Variable and User Path Variable Via .bat File Automatically

How to Install cuDNN 9.4 Files Directly via Pip Install

  • This method can be used to install any cuDNN files directly into venv
  • Tested on famous FaceFusion 3 - works perfect
  • The code is inside Windows_Install.bat file
  • https://www.patreon.com/posts/103765029

Access Massed Compute Running APPs on Your Windows Computer Browser via Powershell

How to Use Yolo Models in A Batch Processing Application Fully Re-useable Code - Yolo V10 and V9

  • Both Windows and Ubuntu 1-click installation
  • Fully batch processing
  • 79 Classes of Yolo V10 available
  • Auto zooming in target and cropping target without cropping any part of the target
  • Full automatic focus face auto resizing
  • Ultimate Batch Image Pre-Processing Gradio APP for Windows and Cloud (RunPod , Massed Compute) With Yolo Models - 1-Click To Install And Use
  • https://www.patreon.com/posts/112126955

How to Install CUDA 12.4 and cuDNN 9.4 on Linux / Ubuntu Systems and Set as Default

  • Massed_Compute_Install.sh file has it with sudo
  • Runpod_Install.sh file has it without sudo
  • Patreon post : https://www.patreon.com/posts/103765029
  • Download zip file for FaceFusion NEXT they are inside it

Solution For Error : OSError: WinError 126 The specified module could not be found. Error loading "venv\lib\site-packages\torch\lib\fbgemm.dll" or one of its dependencies

Utra Fast and Robust Hugging Face Upload and Download Notebook & Code

Utra Fast and Robust and With Resume Capability Hugging Face Repo Downloader With snapshot_download Script

Truly Multi-GPU and Batch Size Having Amazing Caption Generator APP with AutoModelForCausalLM

4-bit LLM Loading via AutoModelForCausalLM and Huge Speed Up Requirements

Numpy Error on Kaggle Fixing Code Having Kaggle Notebook

All Perfect Installer Scripts for RunPod, Massed Compute, Kaggle, Windows as a Base

  • These ones can be used as a base template
  • ResShift 1-Click Windows, RunPod, Massed Compute, Kaggle Installers with Amazing Gradio APP and Batch Image Processing
  • URL : https://www.patreon.com/posts/110331752

Missing cuDNN CUDA DLLs Installer Code for Ubuntu

  • In Massed_Compute_Install.sh file there is necessary code to install missing cuDNN CUDA dll libraries that will solve ONNX library errors when using FaceFusion and such apps
  • URL : https://www.patreon.com/posts/103765029

Comparing 2 Folder Differences Python Script with Excluded Folders and .gitginore Following

  • If you ever need to compare different files in given 2 folders with also listing missing or extra files this script is amazing
  • I used Compare_2_Folders_Differences.py file inside LivePortrait installer zip to compare 2 different forks of LivePortrait repos
  • URL : https://www.patreon.com/posts/107609670

gcc and g++ Installer Script for Ubuntu in Massed Compute Installer for AI

Robust Hugging Face Repo Individal Files Downloader

  • On LivePortrait app, we have HF_model_downloader script which downloads given Hugging Face repo files 1 by 1 in a very robust way
  • It has skip fully downloaded, retry and resume capability
  • URL : https://www.patreon.com/posts/107609670