Furkan Gözükara

Posted on Aug 27

SwarmUI Latest Updates

#python #ai #productivity #opensource

By SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts | Original Patreon post

Get the SwarmUI Installer and Model Downloader app and the presets from here : https://www.patreon.com/SECourses/posts/swarmui-auto-and-114517862

28 August 2026 Update V172

Reference tokens are more robust now.
- Variants such as @IMAGE1, @ image # 2, and <picture1> are recognized and normalized automatically.
Prompt-label handling and makes token estimates more accurate for multi-frame continuation and Image-to-Video workflows now.
Better Video Continuation
- Init Video Continuation 1.3.1 now supports 1, 5, 22, 39, or 56 context frames.
- One-frame mode preserves the previous behavior. Multi-frame mode uses MiniMax H3's native clip conditioning for smoother transitions.
- Replayed context frames and matching audio are removed automatically during merging, preventing duplicated footage or sound.
- Source audio is preserved and generated audio is appended at the continuation boundary.
Start Frame / Init Video now accepts an image or video. Uploaded videos can be continued and optionally merged with the newly generated segment.
Continuation no longer consumes a Ref2VA reference-image slot.
MiniMax H3 Fixes
- Fixed text-only Audio Only workflows failing to recognize SwarmUI's H3 latent canvas.
- Fixed pasted multiline wildcard text being collapsed.
WD14 Tagger Hardening
- All 19 supported model repositories are now allowlisted and pinned to reviewed, immutable Hugging Face revisions.
- Downloaded Taggerine inference code must pass SHA-256 verification before execution.
- Added stricter validation for model IDs, thresholds, image types and sizes, model directories, and temporary output paths.
- Runtime package installation was removed. Missing dependencies now produce clear installation instructions instead of modifying the ComfyUI environment during generation.
- Added dedicated security-boundary tests.
- Install from this repo manually https://github.com/FurkanGozukara/SwarmUI-WD14Tagger
Automatic Installers / Updaters Reliability
- Aggressive Git updates now clean untracked leftovers after repository resets, improving recovery from blocked or inconsistent node updates.
Get latest zip file extract and overwrite all files
- Import latest presets
- Run Windows_Install_SwarmUI.bat to update latest
Get latest ComfyUI and update it to latest as well
- https://www.patreon.com/SECourses/posts/comfyui-auto-2-105023709
More latent frames will increase vram usage a lot so be careful
This feature added to ComfyUI presets as well read changelogs on ComfyUI

22 August 2026 Update V170

This is a very big update : LTX 2.5 video generation presets + LTX 2.5 Video Core Bundle, new FLUX 2 Klein INT8 / INT4 ConvRot HQ models, MiniMax H3 Init Audio (make the video follow any soundtrack with lipsync), live prompt token meter, Face Inpainting upgrades, a big model downloader UI upgrade and a huge installer / updater overhaul so please read all
LTX 2.5 video generation presets finally added : Amazing_SwarmUI_Presets_v70.json brings 6 new presets : LTX25 Text To Video - Core 2-Stage 8+3, LTX25 Image To Video - Core 2-Stage 8+3, LTX25 First Last Frame - Core 2-Stage 8+3, LTX25 Audio Reference To Video - Core 2-Stage 8+3, LTX25 Text To Video - Dev HQ 30+6 and LTX25 Image To Video - Dev HQ 30+6 (all 260822)
Audio Reference To Video : add a Prompt Audio file and describe the matching visuals - the native LTX 2.5 audio branch makes the video follow your audio (lipsync, timing) - Image To Video and First Last Frame presets : add an Init Image (and a Video End Frame) and describe only the motion, camera and sound instead of re-describing the still

All 6 presets are two-stage : the first stage generates at 960x544, then SwarmUI's Refine / Upscale applies the official LTX 2.5 latent spatial upscaler x2 and refines to model-aligned 1080p (1920x1088) with synchronized audio - 97 frames at 24 FPS (about 4 seconds) and H264 MP4 output by default
Core presets use my LTX 2.5 Distilled INT8 ConvRot Premium model with 8 + 3 steps at CFG 1 and Euler Ancestral so they are fast - Dev HQ presets use my LTX 2.5 Dev INT8 ConvRot Premium model with 30 + 6 steps at CFG 3 and Euler for maximum prompt adherence and detail
Everything is exposed as normal SwarmUI parameters so you can change resolution, duration, steps and the refiner settings as you like - increase Text2Video Frames for longer clips
Import Amazing_SwarmUI_Presets_v70.json or run Windows_Preset_Delete_Import.bat to get them - the Which_Bundles_Downloads_Which_Preset_Models.html report is regenerated for the new presets as well

LTX 2.5 Video Core Bundle added to the model downloader : 1 click downloads everything the LTX 2.5 presets need - 10 files, 64.64 GB : Dev and Distilled INT8 ConvRot Premium transformers, Gemma 4 12B INT8 ConvRot v2 text encoder (SwarmUI's current default), Gemma 4 E2B INT8 ConvRot prompt enhancer, the convolutional and the diffusion video VAE, the audio VAE, the latent spatial upscaler x2, the pixel spatial upscaler x2 IC-LoRA and the motion track control IC-LoRA
This one bundle covers every model referenced by all of our LTX 2.5 presets in both SwarmUI and ComfyUI, so you do not need to hunt for a second bundle to make any of them run
The text encoder and both VAEs are saved with the exact LTX-2 sub folder and file names SwarmUI's own automatic downloader expects, so SwarmUI never downloads a second copy - in ComfyUI mode they go to models/text_encoders/LTX-2 and models/vae/LTX-2
No more gated downloads for LTX 2.5 : I have mirrored the remaining official Lightricks files into my own non-gated repository, so nothing in the LTX 2.5 list asks you to log in or accept a license anymore - this covers the official Dev and Distilled Comfy INT8 ConvRot transformers, the Distilled NVFP4 transformer (for RTX 5000 Blackwell), the pixel spatial upscaler x2 IC-LoRA and the latent spatial upscaler
These official quantizations stay optional alternatives - my own Premium INT8 ConvRot conversions remain the default of the bundles and presets because they are higher quality, and the Gemma 4 E2B INT8 ConvRot prompt enhancer is also listed separately

Model downloader UI upgrade : every model list and every bundle Includes list is now grouped by the folder the files are saved into : Main Models, Text Encoders, VAEs, LoRAs, ControlNets, Upscalers, Vision, Detection, LLM - biggest files first, and every group header shows the file count and total GB so you instantly see what goes where

New Active Transfers panel with a real progress bar per file (percent, downloaded / total, speed, ETA) above the Activity Log - the log is chronological now with a Follow newest log entry checkbox, it refreshes twice per second, and multiple open browser tabs no longer steal each other's updates
The URL Downloader tab now shows its progress in the same panel instead of looking frozen, and every download reports [STARTING] immediately instead of showing nothing while the file metadata is fetched
Console progress line reordered : percent, downloaded / total size, speed and ETA come first and the long file name goes last, so a narrow CMD window never cuts off the numbers - and when the output is not a real terminal (RunPod / Massed Compute logs) progress is still printed once per second instead of being silent

New LTX2.5_Enchance_Prompt_Feed_For_LLMs.txt inside the Prompt_Generate_LTX_MiniMax_And_Presets_How_To_Use folder : an official-aligned LTX 2.5 prompting guide for LLMs - give it to ChatGPT / Claude / Gemini, tell it what you want, and it writes properly formatted LTX 2.5 prompts (text / image / audio to video, multi-shot and IC-LoRA conventions are all covered)
MiniMaxH3References extension 1.13.2 : videos and audio files attached with SwarmUI's own native prompt uploader are now recognized as MiniMax H3 references too - same cards, same @video1 / @audio1 tokens with autocomplete, same Ref2VA workflow
- All extensions and custom nodes automatically installed by our installers
FLUX 2 Klein INT8 and INT4 ConvRot HQ models : I have compiled high quality INT8 ConvRot and INT4 ConvRot versions of FLUX 2 Klein myself - Base 9B, Distilled 9B and Distilled 9B kv - 6 new models added to the model downloader app
FLUX 2 Klein Core Bundle and Complete Image Generation and Editing Bundle now download the INT8 ConvRot HQ versions - almost same quality as BF16 but massively faster, same as our Krea 2 and LTX 2.5 ConvRot models

With Amazing_SwarmUI_Presets_v70.json both FLUX 2 Klein Base and FLUX 2 Klein Distilled 8 Steps presets now use the INT8 ConvRot HQ models
MiniMax H3 FL2V Turbo 4-Step 768p speed LoRA updated to v1.1 : the model downloader now downloads minimax_h3_fl2v_turbo_4step_v1.1_768p_bf16.safetensors instead of the old v1.0 - this is the optional 16:9 aspect ratio speed up LoRA for 768p generations from LightX2V - MiniMax-H3 Core and Low VRAM bundles download the new version automatically

MiniMax H3 Init Audio : new Init Audio parameter group added - select or upload any audio file (or even a video file, its soundtrack is used) and MiniMax H3 generates the video to follow that soundtrack exactly : lipsync, action timing, ambience - and keeps it as the exact final audio track of the output
Works for Text To Video, Image To Video and References To Video presets and Init Audio Match Duration makes the video length automatically follow the audio length
Live token meter : a real time Tokens meter now appears above the prompt and shows estimated MiniMax H3 token usage (prompt + references + resolution + duration) against the 109k budget - you instantly see when your references or duration are too big before generating
Face Inpainting upgrades : new Face Inpaint Faces parameter selects which detected faces get refined : 1 = biggest face (default), 2 = second biggest, 1,3 or all - faces are ranked biggest to smallest and each selected face is refined in its own pass
New hallucination guard prevents pasting a wrong / neighbouring face over your subject and Face Inpaint Detector can no longer block generations

Installer / Updater overhaul : Windows_Install_SwarmUI.bat and Windows_Update_SwarmUI.bat are merged into a single Windows_Install_or_Update_SwarmUI.bat
Windows_Start_SwarmUI.bat is now ultra fast : it starts SwarmUI directly without updating or downloading anything and rebuilds only if the code actually changed
Update runs are much faster : unchanged extensions (Premium Extensions, Licon MSR, Foley) are skipped with a quick revision check instead of being re-downloaded on every run - FFmpeg and Cloudflared downloads are also skipped when already latest
Missing Git is now auto installed (winget on Windows, apt-get on Linux) instead of failing with cryptic WinError 2 errors
SwarmUI is now installed as a full git clone and older shallow installs are auto completed - fixes the scary Tag list empty?! warning of SwarmUI's own update check
.NET 10 SDK now installs into SwarmUI/.dotnet folder, matching SwarmUI's own launcher search order and persisting on RunPod / SimplePod network volumes - DOTNET_ROOT is exported so in-app Update and Restart now rebuilds with the correct SDK and works properly
Linux / cloud : Cloudflared is now installed system-wide from Cloudflare's official APT repository and launching prints the public trycloudflare.com URL so you can open SwarmUI from your own computer's browser on RunPod / SimplePod / Massed Compute - new --no-cloudflared and --host options added
RunPod, SimplePod and Massed Compute instruction files rewritten with exact HOW TO OPEN SWARMUI steps
Windows_Preset_Delete_Import.bat made more robust : works from any folder and auto picks the correct Python
To update : get latest zip file, extract and overwrite all, then run Windows_Install_or_Update_SwarmUI.bat and import Amazing_SwarmUI_Presets_v70.json
Also update your ComfyUI backend to latest V127 and get the 8 new LTX 2.5 ComfyUI presets : https://www.patreon.com/SECourses/posts/comfyui-auto-2-105023709

16 August 2026 Update V168

MiniMax H3 bundle updated to include newest 8-steps LoRA and also necessary Yolo Face model for new automatic ComfyUI Face Inpainting feature in presets for MiniMax H3
SwarmUI presets are now also using new Ref2V LoRA for references presets, you can switch to FL2V LoRA and see which one performs better so easy from LoRA tab and compare

Automatic video face inpainting implemented

Get latest zip file, extract and overwrite all, restart PC, run Windows_Update_SwarmUI.bat to update
Also import latest Amazing_SwarmUI_Presets json file
You can see impact of Face Inpainting here and now even better working : https://www.reddit.com/r/comfyui/comments/1vpl5bb/secourses_comfyui_installer_and_ready_presets_now/

14 August 2026 Update V166

We have added LTX 2.5 video upscaler and MiniMax Music 3 Text to Music presets into ComfyUI : https://www.patreon.com/SECourses/posts/comfyui-auto-2-105023709
- LTX 2.5 video upscaler preset is able to upscale any video, any resolution, any aspect ratio into 2x
- It is a very serious generative upscale so adds lots of details
- Therefore, try to upscale at 1 chunk to have better consistency
- Read preset information carefully after loading into ComfyUI
- Our SECourses Premium Upscaler Pro app also fully supports LTX 2.5 now : https://www.patreon.com/SECourses/posts/secourses-pro-150202809
  - It is standalone does not require ComfyUI and it auto downloads models when you first time use
To make these presets work out of the box, 2 new ComfyUI core bundles added to the downloader app as below
LTX 2.5 video generation presets and bundles will be added soon hopefully but its quality lower than MiniMax H3
Moreover, I have converted the LTX 2.5 Int8 ConvRot myself higher quality and more accurate than officially published ones
- Someone detected one of the model is corrupt and broken - officially released ConvRot Int8 variant
- I converted them from BF16 versions after big research and experimentation
- So our model downloader app will download better quality Int8 ConvRot of LTX 2.5 models
Our Musubi Trainer convert to quant tab also now supporting LTX 2.5 Int8 ConvRot compile : https://www.patreon.com/SECourses/posts/secourses-musubi-137551634

MiniMax Music 3 is reportedly lower quality than ACESTEP XL 1.5
- Our very advanced ACESTEP XL 1.5 Premium app below and it has full LoRA and DoRA training support
  - App : https://www.patreon.com/SECourses/posts/ace-step-1-5-xl-157675060
- MiniMax Music 3 also missing necessary resources to be trainable
- MiniMax Music 3 prompt templates shared here : https://github.com/MiniMax-AI/MiniMax-Music3/tree/main/skills/music-caption-rewriter/templates
To get updated model downloader app, as usual, get latest zip file, extract and overwrite all

12 August 2026 Update V165

The most professional speed up LoRA maker LightX2V just published new speed LoRAs for the MiniMax H3
- https://github.com/ModelTC/Minimax-H3-Turbo

Our MiniMax H3 core bundles now auto downloads both FL2VA Turbo 8-step v1.0 and FL2VA Turbo 4-step v1.0 768p
- Older v0.1 removed from downloads and presets so you can delete it from LoRA downloads if you did download before
- All presets now by default uses FL2VA Turbo 8-step v1.0 but you can switch it to FL2VA Turbo 4-step v1.0 768p
  - If you switch to FL2VA Turbo 4-step v1.0 768p you may be needed to overwrite Video shift value and set to 6, SwarmUI default sets to 12
- Sadly LoRAs only made for non-reference model atm but works on both models until they publish specific new LoRA for reference model
Quick set megapixels feature implemented
- Based on selected aspect ratio, it will set resolution according to your set
Moreover, now it will display visualization of the output based on aspect ratio and resolution

To update get the latest zip file, extract and overwrite all, run Windows_Update_SwarmUI.bat and also use Windows_Preset_Delete_Import.bat to get latest updated presets
Moreover get latest ComfyUI backend zip file and also update it through installer bat file : https://www.patreon.com/SECourses/posts/comfyui-auto-2-105023709

10 August 2026 Update V162

ComfyUI infinite video with MiniMax H3 tutorial published : https://youtu.be/1580ZDX-60Q

Hopefully a tutorial for SwarmUI coming soon

Completely Rebuilt Download Engine
- Exact byte-range resume after cancellation, connection loss, or application restart.
- Previously downloaded ranges are preserved instead of downloaded again.
- One sparse staging file replaces multiple temporary chunks and the expensive final merge.
- Significantly lower temporary disk-space requirements.
- Models are atomically installed only after size and SHA-256 verification.
- Corrupt or incomplete downloads can never replace a finished model.
Faster Hugging Face Downloads
- Native Hugging Face Xet is now recommended and enabled automatically when available.
- Xet automatically scales between 8 and 32 streams according to available system RAM.
- Improved recovery from stalled transfers, rate limits, server errors, and expired signed URLs.
- Removed the previous forced approximately 84.5 GiB Xet cache.
- New downloads default to no chunk cache, with an optional bounded reuse mode.
Improved Download Controls
- Direct URL downloads now appear in the active-download counter.
- Cancel and Cancel All now work with direct URL downloads.
- Completed ranges remain available after cancellation.
- Prevented overlapping standalone URL downloads.
- Small and large direct downloads now use the same atomic download system.
- Improved URL validation and rejection of HTML pages masquerading as model files.
- Safer Hugging Face and CivitAI domain detection.
Catalog And Interface Improvements
- Replaced the unavailable LTX 2.3 x2 spatial upscaler v1.0 with the official v1.1 long-video hotfix : ltx-2.3-spatial-upscaler-x2-1.1.safetensors
- Removed duplicate physical models from search and LoRA displays while keeping aliases searchable.
- Improved automatic folder detection for filenames containing hyphens and underscores.
- Improved mobile and narrow-screen layout.
Updater now detects and repairs incomplete FoleyExtension installations, including optional-image components.
MiniMax H3 Improvements
- Expanded the MiniMax H3 prompt-enhancement guide to v2.3.
- Added stable reference-roster numbering rules for multi-scene and folder-batch prompts.
- Added clearer image, video, audio, and paired-soundtrack reference rules.
- Corrected first-and-last-frame preset instructions to use Image To Video > Video End Image.
For updating please also update ComfyUI to latest as well and also this one
Use Windows_Update_SwarmUI.bat and import latest presets file

9 August 2026 Update V160

Model downloader app updated and Int4 ConvRot MiniMax H3 models bundle added as Low VRAM
- This bundle is great for 12 GB and below GPUs
- At the presets both ComfyUI and SwarmUI, just replace Int8 Model with below Int4 variants
- This format Int4 ConvRot models right out of the box working with our ComfyUI (use our installers) backend and installers for SwarmUI

We are using official code of Lightricks not Kijai implementation therefore our LoRA works better
However, Kijai had a VRAM optimization and i just implemented it
You will see it like below in presets, MAX savings reduces VRAM more than 40% but may reduce quality, exact saves 15%+ but same quality
Make sure to use our ComfyUI installer and update it for all features to run via our bat file
Remember MiniMax H3 specific features will only appear when you have selected MiniMax H3 architecture model in your model selection

If you set reference image size to max like this, it improves quality and accuracy but may use more memory, default is match

The importance of Max option is very significant

Video clip references are processed differently and below explains how they processed when used as a reference

8 August 2026 Update v159

This is a very major upgrade with so many new amazing stuff so please read carefully
Famous Lightricks released 4 steps LoRA for MiniMax H3
- https://github.com/ModelTC/Minimax-H3-Turbo
- https://huggingface.co/lightx2v/Minimax-h3-Turbo/tree/main
- I have fully and accurately implemented it into our installers
  - Currently not working with SwarmUI or ComfyUI as default but works with our installers due to myself developed premium nodes and extensions
  - Make sure to install update your ComfyUI and SwarmUI users must also use our ComfyUI backend
- This LoRA added into our model downloader MiniMax H3 core bundle please download

I have made new presets that uses this LoRA and does 8 steps so now you can use them
- It can go as low as 4 steps but I recommend 8 steps
New updated presets are as below

Audio Only preset is super fast and generates audio directly
- Audio generation can be used to see if your prompt and duration matching before generating video since it is like real 2x time speed
  - So 1 minute audio generation takes like 30 seconds on RTX 5090 therefore use audio generation preset to see if your prompt and duration matches - for speaking having videos
  - So quickly iterate, see if your audio accurate, then generate full video
Moreover, I recommend you to use 8 steps and 0.4 megapixel resolution to quickly generate your videos, verify they are accurate, then move full generation like 1344x768px and 20 steps high quality
- This works great
Add references and write prompt field improved so that now you can add videos and audios with trim as you wish as below (trimming is optional)
- For @video1's soundtrack, type <Audio 1>; @audio1 is the first standalone audio file
- According to the above rule, MiniMax_H3_Enchance_Prompt_Feed_For_LLMs.txt file improved and literally working amazing
- It is located inside Prompt_Generate_LTX_MiniMax_And_Presets_How_To_Use folder inside zip file
Trim interface supports both Audio and Video trimming

ComfyUI presets have amazing batch folder processing read changelogs : https://www.patreon.com/SECourses/posts/comfyui-auto-2-105023709
For SwarmUI, you can use Wildcards as a batch processing
- To process them with order not randomly, enable Display Advanced Options
- Then find Swarm Internal and change Wildcard Seed Behaviour to index
- Set regular seed 0 so it will start from first prompt in Wildcard and how many generations you make, it will make with order

For everything to work, make sure that you use our ComfyUI installer as a backend and it is updated : https://www.patreon.com/SECourses/posts/comfyui-auto-2-105023709
Then get latest SwarmUI zip file, extract and overwrite all, then run Windows_Update_SwarmUI.bat to update
- Both install and update installs necessary extensions automatically
To update presets, i recommend use Windows_Preset_Delete_Import.bat
- You can also manually import latest Amazing_SwarmUI_Presets json file and overwrite all

6 August 2026 V158 - Update 2

We have significantly improved our add references extension - auto installed with our installer
Now when you add or remove an attachment, it will not modify and alter your written prompt
Now you can drag and drop attachments to change their position like @image1 into @image3 etc
Now even if you have reference in the prompt but not in attachment, it will not throw error and at the back end it will remove @image1 etc and prompt will just run fine
Zip file is same just run windows update bat file
Also I published a speed up quality comparison video : https://www.reddit.com/r/comfyui/comments/1vh5wd8/i_have_implemented_solattn_crossstep_cache_from/

6 August 2026 V158

I have fully and accurately implemented https://nvlabs.github.io/Sana/Sol-Engine/H3-OnDevice/ into our ComfyUI installation via our always installed and myself developed custom nodes
- Deploy MiniMax-H3 with Sol Engine achieving up to 4.52× acceleration on on-device GPUs
  - Their claimed 4.52x speed acceleration happens at 50 steps and default attention meanwhile I measured with 20 steps and against Sage Attention 2.8.3 latest (already speeds up like 20%+)
  - Moreover, I did set more conservative but almost same quality 0.08 thus it skips lesser steps
  - Use our ComfyUI backend installer and update it so this will work : https://www.patreon.com/SECourses/posts/105023709
Then updated our SwarmUI extensions to fully support it
Existing presets have a minor fix and they will work
When you select a MiniMax H3 architecture model, the parameters will appear like this - the backend has to be loaded so wait a little bit for it to appear

Default values quality wise conservative so almost same quality and brings 1.39x speed compared to Sage Attention 2 speeds at 1344x768 with 362 frames
It used only 20 GB vram for 1344x768 px at 362 frames - 15 seconds but it can use even lower depending on your GPU VRAM
The speed up is not enabled by default so check checkbox to enable it
The first run will be slow due to kernel compile but consquent runs will be faster and won't recompile
In logs first 4 steps are same, then step speed increases and then you start to see jumps in steps like below

For updating get latest zip file, overwrite all files, and then run Windows_Update_SwarmUI.bat - fresh install will also get this
- Make sure that you have updated your ComfyUI backend with our ComfyUI installer

5 August 2026 V157

We have officially moved enhanced SwarmUI with this update with the extensions I developed - all auto installed - please read carefully

MiniMax H3 is now fully supported with our Enhanced SwarmUI and ComfyUI installers and model downloaders
- Can generate up to 30 seconds and 2K native resolution just fine
In SwarmUI model downloader - download MiniMax H3 Core bundle
All of our presets both ComfyUI and SwarmUI, uses this bundle therefore downloading this will let you run presets right away
- Even if you have low VRAM GPU still this model working perfect
- Make sure to have at least 100 GB virtual RAM set
- Current GGUF releases are all almost same size as Int8 ConvRot therefore they are useless
- If Q4 proper one gets released I plan to add that into MiniMax-H3 Video Models section inside Video Generation Models tab

5 perfectly working new amazing MiniMax 3 presets with latest Amazing_SwarmUI_Presets_v62.json
- MiniMax H3 Beginning and Ending Image/Frame to Video - 260804
- MiniMax H3 Image to Video - 260804
- MiniMax H3 References to Video - 260804
- MiniMax H3 Text to Image with Optional References - 260804
- MiniMax H3 Text to Video - 260804
I recommend you to use Windows_Preset_Delete_Import.bat but you can always manually import too

Now recommended to add --disable-pinned-memory into your ComfyUI backend arguments until its bugs fixed to not have any OOM error
I have improved our special installers and extensions therefore you can use prompt input field to add 3 audio, 3 video and 9 image references to use with MiniMax H3 in SwarmUI easily
- They are referenced and named as @image1 @image2 @video1 @video2 @audio1 @audio2 and so on
The special upload will be allowed only when you select MiniMax H3 model
- It auto detects and enables based on selected model's architecture
Official SwarmUI still doesn't have this feature but we have with our installers
- We still always install official latest version SwarmUI but this comes from our own developed extension

New folder : Prompt_Generate_LTX_MiniMax_And_Presets_How_To_Use
- Our system uses references as @image1 @image2 @video1 @video2 @audio1 @audio2 and so on
  - Up to 9 images, 3 audios and 3 videos
  - <audio 1> means the audio of the first input <video 1>
- MiniMax_H3_Enchance_Prompt_Feed_For_LLMs.txt file is modified to instruct LLM to write prompts according to our system (as mentioned above) so you will get perfectly ready copy to paste prompts
New quick video extend feature
- Works with all of the init image to video models including MiniMax H3
- Apply Image to Video preset
- Then into init image field, instead of an image, input a video
- Then enable the Continue Init Video From Last Frame checkbox
- It will get last frame of your input video, generate image to video, and then finally merge videos and generate final output

Installers and update bat file made much more robust both for Windows and Linux
Get latest zip file, overwrite all, and run Windows_Update_SwarmUI.bat

19 July 2026 V154

This is a very big update with so many important new features, changes and improvements so please read all thank you

Seven New Presets

Make sure to import and overwrite Amazing_SwarmUI_Presets_v59.json or use Windows_Preset_Delete_Import.bat while SwarmUI running

Krea 2
- Krea 2 Raw/Base Slow - 260711 uses 52 steps, Euler, Simple, and CFG 4.5. It is the slower Raw/Base path intended mainly for fine-tuning, post-training, and LoRA work.
- Krea 2 Turbo Fast - 260711 uses 8 steps, Euler, Beta, and CFG 1 for fast final inference.
- Krea 2 Turbo Image Edit - 260716 adds denoise-based image editing with a default creativity value of 0.65. Add the source as Init Image and describe the requested change.

The new Krea 2 Core Bundle contains the Raw/Base INT8 HQ model, Turbo INT8 HQ model, Qwen3-VL 4B text encoder, and Qwen Image VAE. Its cached total is approximately 34.83 GiB.
The catalog also adds individually selectable Krea 2 Turbo Q8 GGUF and NVFP4 High Quality variants.

Automatically installed ComfyUI-QuantOps updated (With our ComfyUI Installer for SwarmUI Backend)
- 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

LTX 2.3 Foley Video-to-Audio

The new LTX23 Foley Video To Audio preset generates synchronized audio for a silent or muted video while keeping the source video unchanged.
Put the video in Init Image, then describe the visible sound source, action, material, and timing. The preset uses the LTX 2.3 Foley V2A LoRA with 30 steps, audio CFG 6, STG scale 1, modality scale 3, and a maximum of 169 frames at 24 FPS.
The Foley LoRA is approximately 0.21 GiB and is now part of the LTX 2.3 Video Core Bundle. The updated premium installer also installs the maintained FoleyExtension node package automatically.
- This model uses Dev version of LTX 2.3 not Turbo, therefore, now Dev version is included in the LTX 2.3 core bundle
For clean Foley generation, a useful prompt ending is: No speech is present. No music is present.
Download LTX 2.3 Core Bundle and in ComfyUI, install bundle 100

LTX 2.3 Licon MSR V2

The new LTX23 Licon MSR V2 Multi Subject Reference preset supports multiple subject, object, texture, or viewpoint references plus a required background image.
Add two to five images to Prompt Images in this exact order:
1. One to four subject, object, texture, or viewpoint references (so first 1-4 images are subjects)
2. The required background image last (last image is always background)
  1. Therefore, you need minimum 2 input images into the prompt field
Do not use Init Image for this workflow. Identify each numbered reference and its role in the positive prompt, then describe the new action, scene, camera, and lighting.
The preset uses the official eight-step distilled sigma schedule, Euler Ancestral sampling, a 65-frame internal reference sequence, and the LTX 2.3 Licon MSR V2 IC-LoRA. The new LoRA is approximately 0.61 GiB and is also included in the LTX 2.3 Video Core Bundle.
A dedicated guide is included with reference ordering, recommended settings, installation paths, and licensing details.
For this to work, we have coded custom extensions and all is automatically installer with SwarmUI installer or Updater files
Download LTX 2.3 Core Bundle and in ComfyUI, install Bundle 100 for ComfyUI backend

It is insanely powerful and fast I mean look below example

LTX 2.3 Presets Updates

LTX 2.0 model presets removed since LTX 2.3 is better in everyway
LTX 2.3 presets now using myself compiled Int8 ConvRot HQ models since they are literally 100% faster
- Model downloader LTX 2.3 core bundle is now downloading these new models

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

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

Phantom-Wan Character Reference T2V

Two Phantom-Wan presets are included:
- Phantom Wan 14B Character Reference T2V Fast
- Phantom Wan 14B Character Reference T2V Quality
Add character references to Prompt Images, not Init Image, then describe every subject, the scene, action, camera, and lighting. The reference images condition identity while generation begins from an empty video latent, so this is true reference-conditioned text-to-video rather than first-frame image-to-video.
One to four references are the officially recommended path. The integration can accept up to six for experimentation.
Download Phantom Wan 14B Character Reference T2V Bundle and in ComfyUI, install Bundle 100 for ComfyUI backend

Bundle 100 for ComfyUI Backend
- Inside ComfyUI zip file : Windows_Custom_Nodes_Bundles_Installer.bat

Unified Fast Robust Model Downloader Improvements

Run Windows_Start_Download_Models_App.bat to start Downloader
The previous hf_transfer checkbox has been replaced with two clearer controls:
- Custom Downloader Threads: 1 to 32, with 16 as the recommended default
- Hugging Face Xet Backend: optional and disabled by default
The custom thread setting applies to individual catalog downloads, bulk queues, bundles, search results, snapshots, and direct URL downloads. When Xet is enabled, the custom thread setting is ignored. If Xet fails, v150 falls back to the custom resumable backend unless the operation was cancelled.
The custom backend now has much stronger recovery behavior:
- Known-size partial downloads are preserved when cancelled.
- Parallel downloads save their range layout so later attempts can resume safely.
- Legacy v145 16-part downloads can be migrated and resumed.
- Every retry re-reads the saved byte count to prevent duplicate ranges and corruption.
- Six attempts use bounded exponential backoff.
- HTTP 429, 500, 502, 503, and 504 responses receive controlled retries.
- Separate connection and idle-read timeouts recover stalled transfers sooner.
- Progress output reports when it is waiting for the server and uses smoother speed estimates.
- Free space is checked before downloading and before merging parallel parts, with a safety reserve.
- Disk-full failures preserve useful partial data.
- Parallel parts are merged to a temporary file and atomically activated.
- Hugging Face main file URLs can use SHA verification and the optional Xet path.
SHA-256 verification and the verified-file cache remain in place. The goal is simple: fewer restarts from zero, clearer logs, and safer recovery on large model downloads.
Now you can set Hugging Face token for faster or private repo downloads
Now you can set HF Xet Download - even faster optional
Now you can set number of download threads
Now you can set Parallel File Downloads count
- This is extremely useful on high bandwith systems to download even faster than Hugging Face single file download limits like reaching 1 GB per second

Installation and Update Reliability

Windows install and update scripts no longer require one exact .NET SDK patch version. The new helper searches common system, user, registry, PATH, and environment locations for any usable stable .NET 10.x SDK while ignoring preview-only builds.
If installation is needed, it tries WinGet first and then falls back to the latest official Microsoft installer for x64, ARM64, or x86. The fallback download is checked against Microsoft's published release hash before it runs, and installer progress and log locations are shown instead of failing silently.
The premium-extension installer now validates the required integrations before changing the active setup. It installs or updates:
- FoleyExtension nodes plus the managed LTX 2.3 Foley SwarmUI integration
- Phantom character-reference helper nodes for the Comfy backend
- The managed Licon MSR SwarmUI integration
- The official Licon MSR Comfy node at the tested pinned revision
The new helper-node installers use staged directories, required-file checks, backup/rollback paths, bounded Git operations, and stale compiled-extension cleanup. Windows, RunPod, and Massed Compute update instructions now stop with an explicit error if this stage fails instead of continuing into a partial setup.

Updated Preset Model Report

A new file, Windows_Update_And_Open_Model_Report.bat, regenerates and opens the HTML report that shows which bundles and model files cover every SwarmUI preset.
The report generator now handles Krea 2, Phantom-Wan, Ideogram 4, negative-model parameters, saved-filename aliases, and LTX 2.3 Dev versus Distilled connector selection more accurately. The packaged report has been refreshed against Amazing_SwarmUI_Presets_v55.json.

How to Upgrade

Existing installation

Close SwarmUI and the model downloader.
Back up custom presets and any source changes you made inside the SwarmUI Git checkout. The updater resets tracked checkout files before pulling upstream changes.
Extract the latest zip file over your existing downloader package folder and allow release files to be replaced. Do not delete your SwarmUI or model directories.
Run Windows_Update_SwarmUI.bat.
Start the model downloader and download only the new bundles or individual files you need.
Import Amazing_SwarmUI_Presets_v55.json.

Windows_Preset_Delete_Import.bat can automate the preset replacement while SwarmUI is running. It first backs up the current presets, then deletes all active presets and imports the latest pack. Read its confirmation carefully if you maintain custom presets.
Users who already have the rest of LTX 2.3 can download only the new Foley and Licon LoRAs instead of downloading the full LTX bundle again.
Run Windows_Update_And_Open_Model_Report.bat afterward to compare the new preset requirements with the models currently on disk.

Fresh installation

Extract latest zip file into a clean folder.
Run Windows_Install_SwarmUI.bat.
Start the model downloader with Windows_Start_Download_Models_App.bat.
Download the bundle or individual models needed by your chosen presets.
Start SwarmUI and import latest Amazing_SwarmUI_Presets_.json
RunPod and Massed Compute users should follow the updated instruction files included in the package.

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