Stable Diffusion WebUI Forge - NEO (Up-to-Date and Maintained Forge Web UI) 1-Click installers for Windows, RunPod, Massed Compute, Supports all GPUs starting from RTX 1000 to 5000 and Cloud GPUs - Torch 2.8 and CUDA 12.9 and Flash Attention

Patreon exclusive posts index to find our scripts easily, Patreon scripts updates history to see which updates arrived to which scripts and amazing Patreon special generative scripts list that you can use in any of your task.

Join discord to get help, chat, discuss and also tell me your discord username to get your special rank : SECourses Discord

Please also Star, Watch and Fork our Stable Diffusion & Generative AI  GitHub repository and join our Reddit subreddit and follow me on LinkedIn (my real profile)

======

Latest installer zip file : SD_WebUI_Forge_NEO_v1.zip

• I just found out that there is maintained repo of Forge Web UI literally : https://github.com/Haoming02/sd-webui-forge-classic

  • It is in neo branch

• It is famous beloved Stable Diffusion Forge Web UI (made by lllyasviel) but fully updated to work with latest libraries

  • So this is literally Stable Diffusion Forge Web UI made by lllyasviel and it is still getting updated and maintained

• I have prepared literally 1-click installers and GPU specific automatic optimizer ran files

• My installer will install with Torch 2.8 and CUDA + pre-compiled xFormers, Flash Attention, Sage Attention and InsightFace

• My precompiled libraries are compiled with support of all consumer GPUs + cloud GPUs

• Currently installer installs with Python 3.11 since it is recommended so have Python 3.11 as well in your system

• I have developed smart_launch.py and it will be used to launch the app on Windows, RunPod and Massed Compute and it will automatically add optimization parameters according to your GPU

  • The Windows bat files and RunPod and Massed Compute scripts will use it by default so don't worry just use installer files and launch files

• Currently scripts are set to start with disabled Sage Attention since it produces lower quality outputs

  • If you enable, enable like this : --sage2-function fp16_triton

• To download models quickly you can use our Unified Model Downloader (updated to support this app) : https://www.patreon.com/posts/114517862

• This web UI also supporting newest model like Wan 2.2 and I seen he is about to finish adding Qwen

• Also it is supporting even GGUF models or Nunchaku/SVDQ Models

• Full info is here I prepared this : https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/SD_WebUI_Forge_NEO_Support_List.md

Windows Requirements

• Python 3.11.9 and Git should be sufficient

• If you get error also make sure to have FFmpeg, CUDA 12.9, cuDNN 9.12, C++ Tools, TensorRT and MSVC

  • Follow this post to install all : https://www.patreon.com/posts/111553210

  • Follow this video to install all along with above post : https://youtu.be/DrhUHnYfwC0

• Just use Windows_Install_or_Update_Forge_Neo.bat to install, after auto install it will auto start the App

• Later just use Windows_Smart_Fast_Start_Recommended.bat to start fast

• To install extensions use Windows_Slow_Start_Use_This_For_Extension_Install.bat

Massed Compute (Recommend Cloud) :

• Please register via this link : https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=secourses&tenantId=massed-compute

  • We have a special coupon for all GPUs : SECourses

    If you want to learn more about GPUs and prices read this link : https://www.patreon.com/posts/126671823

  • Select literally any GPU but I recommend, RTX 6000 PRO or RTX L40S

  • Then select our image SECourses from Creator dropdown

  • Then follow Massed_Compute_Instructions_READ.txt

  • Same as my any other Massed Compute installer script

  • Example tutorial for learn how to install and use Massed Compute

    • (Starts at 12:58) : https://youtu.be/KW-MHmoNcqo?si=G1WbG-Qw4ujWvOtG&t=778

RunPod (Cloud):

• Please register via this link : https://get.runpod.io/955rkuppqv4h

  • Then follow Runpod_Instructions_READ.txt

  • Same as my any other RunPod installer script

  • Use the template written in Runpod_Instructions_READ.txt file

  • Select literally any GPU but I recommend RTX 5090

  • Example tutorial for learn how to install and use RunPod

    • (starts at 22:03) : https://youtu.be/KW-MHmoNcqo?si=QN8X8Sjn13ZYu-EU&t=1323