ComfyUI Auto Installer with Torch 2.13, CUDA 13, FaceID, IP-Adapter, InsightFace, Reactor, Triton, DeepSpeed, Flash Attention, Sage Attention, xFormers, MSLK, TorchAO Including RTX 5000 Series, Automatic Installers for Windows, RunPod, Massed Compute, Linux

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DESCRIPTION

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.

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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)

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Latest zip file (Torch 2.13+CUDA 13) : ComfyUI_V100.zip

[click here to choose a membership and Join to download zip files]

Deprecated CUDA 12.9 and Torch 2.8 : Comfy_UI_V72.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

Bat files auto starts with --enable-triton-backend and --use-sage-attention if you don't want modify bat files (Windows_Run_GPU.bat)

Add this to your SwarmUI backend as well : --enable-triton-backend

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

--cache-none is useful when you work with dual models or keep switching between models

--novram is useful when you are getting OOM, especially longer video generation like LTX 2, it reduces VRAM usage and can be used together with --cache-none

Some VRAM savings --disable-smart-memory, --lowvram

If you are getting stuck or OOM use this: --disable-smart-memory

10 January 2026 SimplePod & Windows Tutorial : https://youtu.be/yOj9PYq3XYM

10 July 2025 RunPod + Massed Compute tutorial : https://youtu.be/8cMIwS9qo4M

11 June 2025 RunPod Tutorial : https://youtu.be/R02kPf9Y3_w

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

Now it will auto setup everything

Windows Requirements

For this auto installer to work you need to have installed Python 3.12.10 (works with 3.10.x, 3.11.x, 3.13.x too), Git, FFmpeg, cuDNN 9.17+, CUDA 13.0, Visual Studio Community Edition with All c++ options

Follow this requirements tutorial video exactly : https://youtu.be/DrhUHnYfwC0

Follow its updated post with links and screenshots exactly : https://www.patreon.com/posts/windows-AI-requirements-tutorial-111553210

19 July 2026 V100 Update

This is a pretty significant update so please read carefully and entirely

I have been waiting Torch 2.13 to update our apps and libraries and it recently arrived

So I have pre-compiled the following libraries with Consumer GPUs CUDA archs for Windows and All GPUs CUDA archs for Linux as below

xFormers, TorchAO, Sage Attention, Segment Anything, Segment Anything 2 (SAM2), MSLK (xFormers won't work properly without this and this makes big difference), InsightFace, Flash Attention

None of these libraries do not exists for Windows and Linux wheels are not including all GPU CUDA archs pre-compiled like i do

So now our ComfyUI installs all above libraries with Torch 2.13 and CUDA 13

I recommend to use Python 3.12 during installation but we support all Python 3.10, 3.11, 3.12 and 3.13 since all wheels are now compiled as ABI3

Since we upgrade to new torch, please delete venv and run installer again for update or do a fresh install

Make sure to get latest zip file and overwrite all previous files in installation folder before update

Windows_Run_GPU.bat starts with --use-sage-attention --enable-triton-backend

--use-sage-attention really useful for video models but in some image models may reduce quality so you can test on and off

Our compiled Sage Attention is latest version of 10 July so has lots of fixes

Automatically installed ComfyUI-QuantOps updated

Now it is only used if native ComfyUI is not supporting the loaded model

I have compared the new famous Int8 ConvRot of Krea 2 and the speed difference is like 100%, I plan to update all models to Int8 ConvRot

New updated ComfyUI-QuantOps supports Krea 2 GGUF as well

When you click and see full size of above image and analyze results you will see that:

Int8 ConvRot is 96.2% similar to BF16 meanwhile GGUF Q8 is only 90.0% and FP8 Scaled is 82.2% and NVFP4 is 63.7%

Moreover, Int8 ConvRot generates the output in 3.05 seconds, making it 1.82× faster than BF16, which takes 5.56 seconds.

NVFP4 takes 3.8 seconds and is 1.46× faster than BF16, whereas GGUF Q8 takes 6.06 seconds and is approximately 8.3% slower than BF16.

So Int8 ConvRot generated with our Musubi Trainer app at high quality is almost 100% faster and almost same quality as BF16

High quality generation takes few hours on RTX 5090

Updated SwarmUI downloader has amazing quality Int8 ConvRot which reaches almost BF16 quality : https://www.patreon.com/SECourses/posts/swarmui-auto-and-114517862

Krea 2 Core bundle downloads this model and uses it in SwarmUI preset

ComfyUI preset also uses that model default

You can generate Int8 ConvRot models with our updated Musubi Trainer app : https://www.patreon.com/SECourses/posts/secourses-musubi-137551634

I also have converted LTX 2.3 models into Int8 ConvRot HQ with our Musubi Trainer app (above link)

So Int8 ConvRot HQ is 100% faster than FP8 Quant Scaled and 50% faster than BF16 on RTX 5090

The quality is also excellent almost same as BF16

New Krea 2 Presets - Supported in SwarmUI too with SwarmUI presets

Krea 2 Raw Base - 52 Steps - 260716

Krea 2 Turbo - 8 Steps - 260716

Krea 2 Turbo Image Edit - 8 Steps - 260716

All Krea 2 presets uses compiled by me Int8 ConvRot HQ (each compile takes 3-4 hours on RTX 5090)

New Phantom Wan 14B Character Reference Presets - Supported in SwarmUI too with SwarmUI preset

These presets are for you to upload multiple input images and use them in generated text to video prompts

Up to 6 images supported but recommended are up to 4

Phantom Wan 14B Character Reference T2V Quality - 260717.json, Phantom Wan 14B Character Reference T2V Fast - 260717.json

Please install Bundle 100 via Windows_Custom_Nodes_Bundles_Installer.bat and use SwarmUI model downloader (https://www.patreon.com/posts/114517862) and download 🎬 Phantom Wan 14B Character Reference T2V Bundle (Total: 20.78 GB, 4 models) SwarmUI bundle

New Insanely Powerful LTX2.3 Licon MSR V2 Multi Subject Reference Preset - Supported in SwarmUI too with SwarmUI preset

This preset uses LTX 2.3 and supports 1-4 input image and 1 background image (mandatory to provide atm)

It is literally insanely powerful and generate video fast with LTX 2.3 and very high quality see below very primitive example and how it turned out to be great

New LTX 2.3 Foley Video-to-Audio Workflows

This workflow adds amazing natural audio based on prompt and input video to any silent or audio having video (existing audio is overwritten)

It has intelligent auto chunk system so you can process any duration video

Full Updated ComfyUI Presets As Below click to See Full Size - 63 Local free Presets

All Krea 2 and LTX 2.3 presets now using Int8 ConvRot HQ compiled by me

Each compile takes around 3-4 hours on RTX 5090 but their quality better than GGUF Q8 and they are more than 100% faster than FP8 Scaled on RTX 3000, 4000 and 5000 series (not tested on RTX 2000 and 1000 series yet)

V93 adds synchronized Foley and environmental audio generation from an existing video:

LTX 2.3 Foley Video To Audio - 30 Steps: a standard 24 FPS workflow that automatically trims the input to a valid LTX frame count, keeps the video frozen, generates only the audio modality, and saves the result as an H.264 MP4.

LTX 2.3 Foley Auto Long Video - 24 FPS: designed for longer clips. It streams the source video instead of decoding the full video into memory, processes overlapping 89-frame windows at 576 x 576, crossfades and stitches the generated audio, and muxes it back onto the original-resolution video.

FoleyExtension Is Now Installed Automatically so Foley works perfect

You can see example generated video here : https://www.reddit.com/r/SECourses/comments/1uyk2d8/ltx_23_foley_video_to_audio_video_is_now_fully/

Original used silent video is here : https://www.pexels.com/video/serene-riverside-reflection-in-forest-35591199/

Used prompt : Natural synchronized ambience of a calm river flowing gently through lush greenery, with soft water ripples, a light breeze moving leaves and grass, occasional distant birds and insects, and realistic outdoor spatial depth. No speech. No music.,

I developed custom node for this and working perfect auto installed for you

More Reliable Installers

The Windows and cloud installers received a large reliability pass:

RunPod and Massed Compute now use a stable Python 3.12 virtual environment, reuse it when valid, and only install or upgrade Python when necessary.

The cloud installers now detect root/sudo availability and handle the stable Python 3.12 package source more carefully.

ComfyUI IPAdapter Plus is now installed by default by the cloud scripts.

Custom-node requirements consistently use UV's best-match index strategy.

Protected core requirements are restored after optional custom-node installation so node packages cannot silently leave incompatible ONNX or acceleration libraries behind.

CPU and GPU ONNX Runtime conflicts are cleaned before the protected GPU stack is restored.

The Windows bundle selector now correctly accepts space-separated selections as advertised.

ReActor's Impact Pack dependency now runs its `install.py` when needed.

Paths are anchored to the installer location, making the scripts safer to launch from a different working directory.

Windows now recommends Python 3.12.10 while retaining the 3.10, 3.11, 3.12, and 3.13 choices.

Isolated SwarmUI and Foley Nodes

SwarmComfyCommon, SwarmComfyExtra, and FoleyExtension now live under:

ComfyUI/StandaloneCustomNodes

The updated launchers create and load `ComfyUI/standalone_swarm_nodes.yaml` automatically. Legacy root-level copies and duplicate copies under normal `custom_nodes` are removed only after the new installation has been verified.

This keeps the portable nodes isolated, avoids duplicate `NODE_CLASS_MAPPINGS`, and makes both the normal GPU launcher and the VRAM-optimized launcher use the same configuration.

Before this fix, using same ComfyUI for SwarmUI was breaking preview feature and not anymore

Updated Windows Launchers

Both Windows launchers now:

Compose the standalone node folder and YAML config if they are missing.

Load the isolated nodes with `--extra-model-paths-config

Preserve the existing Sage Attention, Triton, auto-launch, and VRAM configuration options.

Updated Cloud Guides

The RunPod, SimplePod, and Massed Compute guides now include:

Updated June 2026 tutorial links.

A fast Hugging Face upload/download tutorial.

Current GPU, storage, template, and NVIDIA driver guidance.

Bundle 100 as the recommended broad custom-node bundle.

The automatic FoleyExtension behavior.

Correct startup commands for the standalone-node YAML config.

A reminder that Sage Attention can reduce quality or behave incorrectly with some models and can be removed from the launch command when necessary.

Moreover detailed benchmarks are made for all models and in some cases, newer Torch 2.13 brought singificant speed gains

e.g. Ideogram 4

Bundle 100

1 July 2026 V91 Update

3 new SwarmUI based presets added into presets folder:

Ideogram 4 Highest Quality - 260629.json

Ideogram 4 Balanced - 260629.json

Ideogram 4 Turbo - 260629.json

Ideogram 4 Turbo generates amazing images at 2048x2048 and really fast speed

To make them work directly get latest SwarmUI installer zip file and download Ideogram 4 Core bundle models

Make sure that you did run Windows_Custom_Nodes_Bundles_Installer.bat (inside ComfyUI installer zip file) and installed "1. SwarmUI ExtraNodes (SwarmComfyCommon & SwarmComfyExtra)"

For JSON prompt generation for Ideogram 4 model, we have ultimate new app : https://www.patreon.com/SECourses/posts/162527725

25 June 2026 V90 Update

ComfyUI-QuantOps repo updated with my fork to automatically support INT8 and Block-Wise quantized models - they are higher quality

Start commands in RunPod, Massed Compute and Windows_Run_GPU.bat edited and now includes --enable-triton-backend for even more performance

Windows_Install_Or_Update_ComfyUI.bat should be sufficient to upgrade

26 April 2026 V89 Update

New LoRA LTX2.3_Crisp_Enhance.safetensors (0.66 GB) added to the LTX 2.3 Core bundle in our model downloader app : https://www.patreon.com/posts/114517862

All LTX 2.3 presets (we have 7 so far) updated to use this new LoRA which improves quality significantly

25 April 2026 V88 Update

Upon a request of a Gold supporter I have made an amazing LTX 2.3 v1.1 Character replacement workflow

Example video if you also upvoted and leave a comment I appreciate

https://www.reddit.com/r/comfyui/comments/1svdkqa/new_character_replacement_comfyui_workflow_of/

Hopefully will make a quick tutorial video soon

This is literally the easiest to use and very best working one with so many custom features I coded

It took me more than 1 day + developing a custom node, all installed with our installers automatically

Use LTX 2.3 Core bundle to download all models automatically via our model downloader : https://www.patreon.com/posts/114517862

Use latest ComfyUI zip file ComfyUI_V88+

First run : Windows_Install_Or_Update_ComfyUI.bat

Then run Windows_Custom_Nodes_Bundles_Installer.bat and select bundle 100

Then use LTX2.3 IC LoRA Replace Any Character - 260425.json - located inside presets folder in latest zip file

Make sure to provide replacement image exactly same as first frame of the input video with only character being different e.g. cases below

This is super important and crucial for accuracy

First frame

Replacement

You can use any image model to generate such replacement characters or your photoshop skills

I used Nano Banana Pro but Qwen 2511, FLUX 2 or FLUX 2 Klein should also work fairly well

The preset automatically resize and crop your input image according to your input video

The preset automatically sets output resolution according to your input video + 720p or 1080p toggle that you can set

The preset automatically sets FPS - you can overwrite

The preset automatically uses original audio - you can turn on or off

You can determine how many seconds of the video to be used

For long video processing you can enable STREAMING CHUNK SECONDS

It will auto use last frame of previous chunk and continue

Only disadvantage is that you use same prompt for all chunks

The preset is fully optimized for lowest RAM and VRAM usage + maximum quality

Literally 1-click to install and use with such easiness and full automation

23 April 2026 V87 Update

The following presets updated to LTX2.3-Distilled-v1.1-FP8-Quant-Scaled.safetensors instead of v1.0 model

New preset LTX2.3 Video To Video 8 Steps - 260422.json added and it works great with LoRAs

I made this workflow and it auto recognize your input video dimensions, FPS and duration fully automatically

So easy to use

By using above LoRAs or even without LoRA, you can change existing videos

Play prompt and Init Image Creativity level (default 0.5) to get your desired results

Example simple prompt : Convert the video into a anime style

To get the latest LoRAs i recommend use latest model downloader and download LTX 2.3 core bundle : https://www.patreon.com/posts/114517862

Also use Windows_Custom_Nodes_Bundles_Installer.bat and install 100. LTX Audio to Video Bundle

This bundle now includes SwarmUI nodes as well

22 April 2026 V86 Update

After extensive testing on 4x RTX PRO 6000 GPUs having Massed Compute machine, new following presets added to the presets folder

To be able to use them, use our SwarmUI installer / model downloader and download FLUX 2 Klein Core Bundle and ERNIE Image Core Bundle

Multiple image input and editing becomes chaotic so i recommend using SwarmUI for this task and it works amazing

16 March 2026 V84 Update

LTX 2.3 Audio Lip synch preset significantly improved and now it is the very best available

Nowhere else has our new workflow

Now it is split into 2 different presets

LTX2.3 Audio Lip Synch Image To Video - Manual Frame Count - 260316.json

LTX2.3 Audio Lip Synch Image To Video - Auto Frame Count - 260316.json

If you use auto frame, it will auto set frame count according to your input audio lenght

Moreover, I have developed a new Custom Node to add no sound audio to beginning of videos so make lip synch perfect

So for installation, get the latest zip file, overwrite all files and run Windows_Install_Or_Update_ComfyUI.bat and Windows_Custom_Nodes_Bundles_Installer.bat and select bundle 100

Moreover, extra_model_paths.yaml file is updated to also list LTX2.3-Distilled-FP8-Quant-Scaled.safetensors in model loaders so update it if you are using SwarmUI model path

Also new preset LTX2.3 Extend Any Video With Audio - 260316.json added

It really does exten video really good but extended video audio requires some prompting

16 March 2026 V83 Update

LTX 2.3 presets added to presets folder

I have literally tested every preset out there for Audio Lip Snych and none of them were working properly

So I edited older LTX 2.0 preset and this is the best working preset atm

To be able to use these presets, first get latest zip file, overwrite all older files and then run Windows_Custom_Nodes_Bundles_Installer.bat and select option 100

Then run Windows_Install_Or_Update_ComfyUI.bat

To have all the models accurately downloaded, use latest model downloader we have : https://www.patreon.com/posts/114517862

Then download LTX 2.3 bundle it has all the models you need

You can watch this tutorial to learn how to use them but i plan a newer tutorial too hopefully : https://youtu.be/SkXrYezeEDc

Presets are set for 5 seconds 121 frames usually

You can increase their duration with like 241 frames = 10 seconds, 361 frames = 15 seconds and so on

LTX2.3_Enchance_Prompt_Feed_For_LLMs.txt significantly improved

Works great for Text to Video and Image to Video prompt generation

Upload it to your favorite LLM e.g. ChatGPT, provide input image or whatever you want and describe and tell LLM to generate / improve prompt

5 March 2026 V82 Update

Custom nodes installers made more robust and some bugs in this process fixed

6 February 2026 V81 Update

Upon request new custom node ComfyUI-CacheDiT added to Windows_Custom_Nodes_Bundles_Installer.bat

Linux/Cloud installers also has it they are synched

27 January 2026 V80 Update

Older custom node individual installers removed and now all merged into Windows_Custom_Nodes_Bundles_Installer.bat

When you run it, you will see individual nodes and now we will have bundles

Install 1. SwarmUI ExtraNodes to run SwarmUI presets

Install bundle 100 to run LTX 2 Audio To Video preset - does lip snych and more

Both RunPod and Massed Compute installer also has same node and bundle install feature, just enter numbers and hit yes to install while installing

New following presets added into Presets folder

To use the presets, use Model downloader and download necessary bundles : https://www.patreon.com/posts/114517862

LTX2_Enchance_Prompt_Feed_For_LLMs.txt added into zip file which you can upload to https://aistudio.google.com/prompts/new_chat and write your prompt and that is it. You can also upload image + this file and prompt to enhance your prompt for free

LTX 2 series - requires LTX 2 Videos Core Bundle

LTX2 Audio Lip Synch Image To Video - 261201.json

LTX2 Image To Video 8 Steps - 260127.json

LTX2 Text To Video 8 Steps - 260127.json

Z Image Base Model - requires Z Image Models Bundle

Z-Image Base - 260127.json

Z-Image Base With 2x Upscale - 260127.json

Currently Z Image doen't work accurately with --use-sage-attention so you can replace attention with --use-pytorch-cross-attention

Hopefully will make a new tutorial video tomorrow

extra_model_paths.yaml is updated and now better

New Windows_Run_VRAM_Optimized.bat has so many features to start ComfyUI with VRAM optimizations

Use this new Windows_Run_VRAM_Optimized.bat if you get OOM errors especially with Video models at long generations

To update, extract and overwrite older files, run Windows_Install_Or_Update_ComfyUI.bat and then run Windows_Custom_Nodes_Bundles_Installer.bat and select 1 and 100

13 January 2026 V74 Update

Initial support for NVFP4 LoRAs added

I tested regular LoRA on NVFP4 FLUX 2 and FLUX 1

FLUX 1 worked perfect but FLUX 2 failed

Z Image Turbo also working but I saw some quality drop

The LoRA is regular BF16 or FP8 LoRA not NVFP4

I have updated installer repo links to new ComfyUI github link

RunPod template link updated and now we fully support SimplePod which is much faster and cheaper than RunPod

SIMPLEPOD CHEAPER AND FASTER THAN RUNPOD

Now we fully support SimplePod as well please use this link to register : https://simplepod.ai/ref?user=secourses

SimplePod is faster and cheaper than RunPod and works exactly same

E.g. RTX 5090 on RunPod is 0.89 USD per hour, on SimplePod it is 0.45$ per hour,

RTX PRO 6000 on RunPod is 1.84 USD per hour and on SimplePod it is 0.79 USD per hour

Please use this template on SimplePod : https://dash.simplepod.ai/account/explore/100/ref-secourses/

For permanent storage, generate it from Storage tab with any name and size you want and when selecting template with above link, click Edit and Use, select Persistence Volume and change mount point to /workspace

Up-to-date SimplePod tutorial starting from 21:51 : https://youtu.be/yOj9PYq3XYM?si=Z86wZZLBeYzWo1Qo&t=1311

As usual follow Massed_Compute_Instructions_READ.txt and RunPod_SimplePod_Instructions_READ.txt to install and use and watch the tutorials

10 January 2026 V73 Update

New tutorial : https://youtu.be/yOj9PYq3XYM

SimplePod register : https://simplepod.ai/ref?user=secourses

We’re releasing ComfyUI installers for both Windows and Linux, built around UV for dependency installation — delivering up to 100× faster installs compared to pip.

With V73, we have moved to CUDA 13 and Torch 2.9.1

You don't need CUDA 13 installed at your system atm, you only need updated NVIDIA driver, Python 3.10 or 3.11 or 3.12 or 3.13 and Git

This brings NVFP4 and NVFP8 support

NVFP is at least 2x faster on RTX 5000 series GPUs, NVFP4 size is very small and quality almost as BF16

SwarmUI installer post (model downloader) now has NVFP4 models such as FLUX 2, FLUX 1, Z Image Turbo : https://www.patreon.com/posts/114517862

To install with V73, extract new zip file content and overwrite all previous files, then delete your venv folder inside ComfyUI and run installer

I recommend seperate install and test first

Hopefully I am producing a new tutorial for NVFP4, quality comparison and LTX 2 presets coming soon

Windows

Supports Python 3.10, 3.11, 3.12, and 3.13

Now we support a new cloud platform called as SimplePod

Works exactly same as RunPod but much faster Disk and Network speeds and much lower prices for amazing RTX 5090 and RTX PRO 6000 GPUs

Fully supports permanent network storage system but like 10x faster than RunPod

Our pod : https://dash.simplepod.ai/account/explore/100/ref-secourses/

Follow RunPod_SimplePod_Instructions_READ.txt to use there

Linux (including RunPod)

Supports Python 3.10

Automatic setup including Python 3.10 venv creation

Fully automated environment install

🚀 No System CUDA Needed

You do not need to install CUDA system-wide.

Only Python + Git are required (Windows), and Linux setup is fully automatic.

Make sure to have updated NVIDIA driver

🧰 Install Scripts

Windows: Windows_Install_Or_Update_ComfyUI.bat

Linux: Massed_Compute_Install.sh

Supported GPUs

RTX 1600 / 2000 / 3000 / 4000 / 5000 series

Cloud GPUs like A100, H100, B200, and more

CUDA architectures compiled for maximum coverage

7.5; 8.0; 8.6; 8.9; 9.0; 10.0; 10.3; 11.0; 12.0; 12.1 + PTX

🧩 Nodes & Add-ons (Auto + Optional)

Our installer can automatically install a large set of popular nodes, including:

Optional

ComfyUI_IPAdapter_plus

ComfyUI-ReActor

ComfyUI-Impact-Pack

SwarmUI Nodes to run SwarmUI presets

Automatic

ComfyUI-Manager

ComfyUI-QuantOps

ComfyUI-Frame-Interpolation

ComfyUI-TeaCache (latest error fixed)

comfyui_controlnet_aux

ComfyUI-GGUF

RES4LYF

🐝 SwarmUI Presets Support

We also support SwarmUI extra nodes installation, so you can run SwarmUI presets directly inside ComfyUI.

Currently available: 32 converted presets

More coming soon — including LTX 2 presets (planned)

7 January 2026 V72 Update

Fixed the broken Teacache custom node myself with forking it

3 January 2026 V71 Update

I have manually by hand converted all of our famous SwarmUI presets into fully working ComfyUI presets

This literally took hours and i tested them too

Currently we have 32 unique up-to-date presets

I plan to keep them updated as I update our SwarmUI presets from now on hopefully

Only Inpainting and Outpainting presets of SwarmUI not included since they depend on SwarmUI image editing interface

Tutorial : https://youtu.be/XWzZ2wnzNuQ

Watch above tutorial and check video chapters to learn how to do perfect Inpainting and Outpainting

Presets are located in Presets folder

Use 0-How-To-Download.txt and 0-Which_Bundles_Downloads_Which_Preset_Models.html to learn how to use them

0-Which_Bundles_Downloads_Which_Preset_Models.html is extremely useful to learn which model bundle downloads the necessary models for that particular preset

28 December 2025 V69 Update

extra_model_paths.yaml added to the zip file and it is pre-set for SwarmUI model structure

Thus by modifying base_path: F:\SwarmUI_Model_Downloader_v81\SwarmUI\ to your installation like this it will see all of your models inside your SwarmUI and you will be able to properly use them in your ComfyUI directly

Now it will auto install following nodes

ComfyUI-Manager, ComfyUI-QuantOps, ComfyUI-Frame-Interpolation, ComfyUI-TeaCache, comfyui_controlnet_aux, ComfyUI-GGUF, ComfyUI_IPAdapter_plus, RES4LYF

Extract latest zip file overwrite and run Windows_Install_Or_Update_ComfyUI.bat and Windows_Custom_Node_Install_SwarmUI_ExtraNodes.bat to install

I am working on a tutorial to show how to use SwarmUI presets in ComfyUI hopefully today

22 December 2025 V64 Update

Installers upgraded to uv pip installation

Installation on RunPod is now like 100x faster literally and many times faster on Windows and RunPod

Windows_Custom_Node_Install_SwarmUI_ExtraNodes.bat added

Automatically installs SwarmUI specific used ComfyUI nodes so that you can use SwarmUI generated ComfyUI workflows directly inside ComfyUI

RunPod and Massed Compute installers will auto install SwarmUI used extra custom nodes

30 October 2025 Update v61

Few library conflict bugs fixed

Shared requirements were not installed on Windows this issue fixed like missing diffusers library

Just overwrite files as usual and run installer

28 October 2025 Update v59

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

16 October 2025 Update v57

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

12 October 2025 Update v56

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

3 October 2025 Update

onnxruntime gpu errors fixed with setting onnxruntime-gpu==1.22.0

15 September 2025 Update

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

13 September 2025 Update

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, Segment Anything 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

28 August 2025 Update v50

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)

21 August 2025 Update v49

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

17 August 2025 Update v48

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

13 August 2025 Update v46

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

7 August 2025 Update v45

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

16 July 2025 Update v42

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

15 July 2025 Update

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

12 July 2025 Update

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

10 July 2025 Update

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

https://www.patreon.com/posts/114517862

How to install on RunPod and Massed Compute shown in this tutorial

https://youtu.be/8cMIwS9qo4M

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

15 June 2025 Update

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 Update

5 May 2025 Tutorial published a must watch one : https://youtu.be/fTzlQ0tjxj0

3 May 2025 Update

Automatic download of models removed use SwarmUI Unified Downloader, you can set download path as ComfyUI folder : https://www.patreon.com/posts/118442039

27 April 2025 Update

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)

10 March 2025 Update

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

3 February 2025 Update

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

https://github.com/Gourieff/ComfyUI-ReActor

https://github.com/ltdrdata/ComfyUI-Impact-Pack

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