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Latest zip file : Comfy_UI_V59.zip
Learn how to install ComfyUI + SwarmUI and how to set SwarmUI backend with ComfyUI installation : https://youtu.be/fTzlQ0tjxj0
SwarmUI Installer and Unified Massive Models Downloader : https://www.patreon.com/posts/114517862
If your GPU starts using shared VRAM for any reason, add this command to make it avoid that --reserve-vram 3
This command will preserve 3 GB VRAM for other tasks
It is like --use-sage-attention command
If you are on high VRAM GPU
--gpu-only : keeps everything on GPU
--highvram : keeps models on GPU
11 June 2025 RunPod Tutorial : https://youtu.be/R02kPf9Y3_w
10 July 2025 RunPod + Massed Compute tutorial : https://youtu.be/8cMIwS9qo4M
We also have published amazing video and images comparison slider app : https://www.patreon.com/posts/133935178
Use Massed Compute installer for local Ubuntu / Linux machine
Remember you have to have set python and python3 comman as Python 3.10.x version and have Git, and FFmpeg installed
With v58 installer speed of RunPod and Massed Compute significantly improved
Now so much faster
There was a Windows installer bug fixed
Please use V59 or newer don't V58
There were also some errors on Massed Compute all fixed
Now on RunPod and Massed Compute it will ask you whether you want to install these below custom extensions or not - don't install them if you don't need them

There is a newer Sage Attention 2.2.0 and I have compiled it and updated both Windows, RunPod and Massed Compute installer
The difference is that, for example Qwen Image Edit Plus was giving black output for RTX 3090 TI with Sage Attention and not giving black output anymore
I believe this version has better support and quality so just run Windows_Install_Or_Update_ComfyUI.bat to update
Make sure to download latest zip file and overwrite older files
Here a new video that shows to to update and install properly : https://youtu.be/c3gEoAyL2IE
I have added new node RES4LYF so that now we have the some of the best Samplers and Schedulers in ComfyUI now such as beta57, bong_tangent, res_2s
Just Windows_Install_Or_Update_ComfyUI.bat and it will install these missing stuff
Fixed few library errors on RunPod and Massed Compute
RunPod and Massed Compute installers auto installs following nodes and you can remove their installation by editing Massed_Compute_Install.sh or RunPod_Install.sh before starting to install
ComfyUI-Manager - i recommend keep it
ComfyUI_IPAdapter_plus - yes you can remove if not needed
ComfyUI-ReActor - yes remove if not needed - takes time to install
ComfyUI-GGUF - i don't recommend
ComfyUI-Impact-Pack - i don't recommend
RES4LYF - i dont recommend
Removing unneeded nodes will make your install faster
On Windows we auto install only following ones others are bat files to manually install
ComfyUI-Manager, ComfyUI_IPAdapter_plus, ComfyUI-GGUF, RES4LYF
Install RES4LYF on ComfyUI will auto enable these new Samplers and Schedulers on SwarmUI as well that uses your ComfyUI backend
Just run Windows_Install_Or_Update_ComfyUI.bat and it will be auto installed

Python 3.10.11, FFmpeg and Git
To have full compile support and all nodes to work have CUDA 12.9, C++ Tools, MSVC, cuDNN 9.12, TensorRT
To install all follow this video : https://youtu.be/DrhUHnYfwC0
And follow this post : https://www.patreon.com/posts/111553210
onnxruntime gpu errors fixed with setting onnxruntime-gpu==1.22.0
I have compiled Sage Attention as well on Windows
The reason is, the one I use from woct0rdho was compiled with CUDA 12.8
I compiled with CUDA 12.9 for literally every GPU out there
Just running installer will update to new Sage Attention
Tested it on RTX 3090 TI + RTX 5090 with SwarmUI + ComfyUI
Windows_Install_Or_Update_ComfyUI.bat won't ask anymore Python version if you had previously installed - only will ask first time install
This is a major update
The installer will now install with Torch 2.8 and CUDA 12.9, so we moved to very latest libraries
Moreover, I have compiled all the libraries that we need so it will be ultra fast to install both on Windows and RunPod (Linux) and Massed Compute (Linux)
I have compiled xFormers, Flash Attention, Sage Attention, InsightFace for Windows and Linux with all GPUs support : TORCH_CUDA_ARCH_LIST=6.1;7.5;8.0;8.6;8.9;9.0;10.0;12.0
Thus this way, we literally support all GPUs starting from RTX 1000 series to RTX 5000 series including cloud GPUs like A100, H100, B200, etc
For Windows, all above libraries are compiled for Python 3.10, 3.11, 3.12 and 3.13
For Linux, compiled only for Python 3.10
I am using pre-compiled Triton (for Windows) from woct0rdho and DeepSpeed (for Windows) from official PyPi
This is a major update, I recommend fresh install but you can delete your venv and run installer again, this should work too
Moreover, kijai_Multi_Talk workflows were broken
The custom node needed for kijai_Multi_Talk was installing this node : audio-separation-nodes-comfyui
This node audio-separation-nodes-comfyui was installing a specific library and it was totally crashing the ComfyUI, it was never starting just crashing
This is why ComfyUI custom nodes can break your entire ComfyUI and make sure to test on fresh installation
I have updated Install_Multi_Talk.bat and RunPod_Massed_Compute_Instructions.txt and fixed the issue now it should work and it uses latest libraries
After following requirements video and its source post
Run Windows_Install_Or_Update_ComfyUI.bat to install
To update the installation, again run Windows_Install_Or_Update_ComfyUI.bat file
You can select any Python version like 3.10, 3.11, 3.12 or 3.13
I recommend to use Python 3.10.11
Notice: You have to have Python installed yourself, it won't install Python for you, so follow above requirements
Always installs latest version of ComfyUI
Supports Python 3.10, 3.11, 3.12 and 3.13
Installs with Torch 12.8, CUDA 12.9, Flash Attention 2.8.3, Sage Attention 2.2.0, Triton 3.4, InsightFace, xFormers 0.33, DeepSpeed 0.16.5
All these above libraries are pre-compiled, I compiled most of them myself with supporting all of the GPU archs : TORCH_CUDA_ARCH_LIST=6.1;7.5;8.0;8.6;8.9;9.0;10.0;12.0
Thus this way, we literally support all GPUs starting from RTX 1000 series to RTX 5000 series including cloud GPUs like A100, H100, B200, etc
I have RTX 3090 TI and 5090 and I test on other GPUs on cloud
For Linux, we support only Python 3.10, but for Windows, all above libraries compiled for Python 3.10, 3.11, 3.12 and 3.13
Moreover, we install following libraries too : huggingface_hub, hf_transfer, hf_xet, accelerate, diffusers, onnxruntime-gpu, piexif, requests, ultralytics==8.3.197 (this one fixed using Yolo models on SwarmUI like Yolov12 Face model)
Automatically installs ComfyUI-Manager, ComfyUI_IPAdapter_plus and ComfyUI-GGUF
When you run the update bat file, it will update all these our installed extension and ComfyUI to the latest version
On RunPod and Massed Compute, ComfyUI-ReActor and ComfyUI-Impact-Pack will be also auto installed
On Windows, to install these, run Windows_Custom_Node_Install_ReActor.bat and Windows_Custom_Node_Install_ImpactPack.bat
Works perfectly on Windows, Massed Compute (Creator > SECourses image) and RunPod (RunPod Pytorch 2.2.0 - ultra fast starts official template)
Massed Compute has ngrok feature to use it on your computer
RunPod works with RunPod proxy feature perfectly
My installer will always generate a VENV (virtual enviroment folder) and install everything into there
Therefore, it will never break or modify any other of your AI applications or your system
100% isolated installation
Kijai broken the Wan GGUF model loader
Here issue thread i made : https://github.com/kijai/ComfyUI-WanVideoWrapper/issues/1128
Therefore I have updated the kijai_Multi_Talk installer files and all of the workflows
New installer file will use 1 week older version of ComfyUI-WanVideoWrapper and all workflows updated to not merge LoRA (LoRAs not merge-able with GGUF)
New Bat file Windows_Install_Update_SwarmUI_Nodes.bat implemented
This bat file will install SwarmUI extra nodes so that you can run all SwarmUI generated ComfyUI workflows inside ComfyUI as long as you have the same model files and select them
Installers will now auto install 20250131 version of FFMPEG to RunPod and Massed Compute automatically
This is still the version that I use everywhere and working great
Moreover on Massed Compute, it will auto install RIFE and Teacache to existing SwarmUI installation
For Runpod and Massed Compute, SwarmUI auto installer will install RIFE and Teacache now. Since we already have SwarmUI on Massed Compute we don't need to install SwarmUI just update it and use manually installed ComfyUI as in tutorial
For windows please follow requirements tutorial you have to manually install
Installers for Windows, RunPod and Massed Compute and Windows update bat files are updated and made more robust
ComfyUI manager requirements were not getting installed properly and this issue fixed
I recommend to run ComfyUI update bat file
Update files made more robust to update in all cases for Windows, RunPod and Massed Compute
For RunPod and Massed Compute run installer command again and for Windows run Windows_Update_ComfyUI.bat
Now it will auto update GGUF and ComfyUI Manager as well
These 2 were not getting auto updated for some people
All MultiTalk presets updated to use new Wan 2.1 14B LightX2V CFG Step Distill LoRA V2 (T2V + I2V) (Rank 64) (0.69 GB)
SwarmUI downloader is also updated to download this file it really improves quality https://www.patreon.com/posts/114517862
Few workflows were using an older safetensors model file fp8, fixed with fp32
Lower VRAM configs added to MultiTalk - key is lower frame count at each chunk
MultiTalk workflows completelky updated and seperated into 4 folders
1: Super_Loyal_Official - which was used in main tutorial
2: Loyal_Medium_Animated
3: Less_Loyal_More_Animated
4: Lesser_Loyal_Super_Animated
Use SwarmUI model downloader bundle download to download new FusionX GGUF Q8 model which is used in new workflows
MultiTalk 1-click installer added to the WorkFlows
Full step by step tutorial published for this : https://youtu.be/8cMIwS9qo4M
Make sure to use SwarmUI model downloader V50, give your ComfyUI models folder and download MultiTalk bundle
How to install on RunPod and Massed Compute shown in this tutorial
Massed Compute part shows how to install and also give to SwarmUI as a backend as well so you can utilize pre-installed SwarmUI on Massed Compute with latest version of ComfyUI
Now RunPod and Massed Compute instructions will start by default with Sage Attention
ComfyUI requirements were missing diffusers ridiculously and i have updated our installer for Windows, RunPod and Massed Compute
Working amazing on all 3 platforms with Torch 2.7, CUDA 12.8, DeepSpeed, Accelerate, Triton, Flash Attention, Sage Attention, xFormers
Linux users can use Massed Compute or RunPod installer
5 May 2025 Tutorial published a must watch one : https://youtu.be/fTzlQ0tjxj0
Automatic download of models removed use SwarmUI Unified Downloader, you can set download path as ComfyUI folder : https://www.patreon.com/posts/118442039
Now the unified installer will ask you whether install with Python 3.10, 3.11 or 3.12 - you can chose - make sure that you have followed requirements tutorial and installed that Python version
All installers updated to official Torch 2.7 and CUDA 12.8
Supporting all GPUs including RTX 5000 series
Now you can install Flash Attention, or Sage attention or both - it will ask you as second step
I have compiled Flash Attention + xFormers + insightface for Windows and Linux users
Now every installer will install Torch 2.7 CUDA 12 supporting xFormers + Triton
It will support older GPUs as well
Now Massed Compute and RunPod supports RTX 5000 series + installs pre-compiled Flash Attention + Sage Attention + xFormers
Use our Massed Compute Image and RunPod Pytorch 2.2.0 (runpod/pytorch:2.2.0-py3.10-cuda12.1.1-devel-ubuntu22.04)
All 3 Windows installers updated
Currently installers automatically installs latest Triton (3.2+) and DeepSpeed (0.16.4), insightface (0.7.3), onnxruntime-gpu and Flash Attention (2.7.4 - I compiled for all 3 Python versions) into our VENV Windows
Supports RTX 5000 series - currently xFormers not supported so SDPA used but I am trying to compile xFormers
Clear_Triton_Cache.bat file added to automatically clear triton cache and temp folder
Run this if you get errors related to Triton package
New Windows_Install_Reactor.bat file added to the zip file
This bat file will install followings and its requirements automatically - run it after installing rest
It will also download necessary Reactor and all other models automatically into the models folder
Automatic installation of above added to the Massed Compute installer and RunPod installer
Also an example ReActor-Build-Blended-Face-Model workflow added to the Example_Reactor folder but i couldn't find better one - however I tested and it works really fast
New downloader (ultra fast) file added Windows_Download_All_IP_Adapter_FaceID_Models.bat
This file will download all of the models shared in official page automatically
Total file size is 20 GB
Official page : https://github.com/cubiq/ComfyUI_IPAdapter_plus
The commands to download all modes added to the Massed_Compute_Instructions_READ.txt and Runpod_Instructions_READ.txt files
However, still many of the presets they shared on https://github.com/cubiq/ComfyUI_IPAdapter_plus broken
I have opened an issue thread : https://github.com/cubiq/ComfyUI_IPAdapter_plus/issues/721
What I could make work are
FaceID Portrait Style Transfer
FaceID Portrait UniForm SDXL Only
Download_Models.py updated and now downloads the following models automatically (delete it before install if you don't want to download models)
sd_xl_base_1.0 (with fixed VAE)
Juggernaut-XI-v11.safetensors
RealVisXL_V5.safetensors
Hyper_Realism_V3 (SD 1.5)
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 RTX A6000 or Better GPU - like L40S or A6000 ADA or A100 or H100 or best is RTX 6000 PRO
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
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
Example tutorial for learn how to install and use RunPod
(starts at 22:03) : https://youtu.be/KW-MHmoNcqo?si=QN8X8Sjn13ZYu-EU&t=1323


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