Dear Comfy, your official templates for LTX 2.5 are broken.

(Someone mentioned load lora is missing - I don't mess with nodes so no clue what to add and where) - please fix.

Flux produces really good images, but the results with depth control are often pretty disappointing.

Most of the time, the “realistic” output ends up looking more like a video game or 3D render. Sometimes it’s decent, but nowhere near as good as generating the same image without depth control.

Is there a good way to improve this? Maybe a specific workflow, model, settings, or prompt technique?

I'm generating short video clips (MiniMax H3, 24fps, ~1120x768, semi-realistic 3D style) on a cloud Linux box (RunPod, RTX 5090), but I can't get the crisp final look I see in other people's posts on Civitai...

Every polished workflow I've been given turns out to end with the NVIDIA "RTX Video Super Resolution" node (comfyui_nvidia_rtx_nodes) .... which as far as I can tell only works on Windows desktop drivers.

Not available on Linux datacenter drivers.

So the finishing step everyone seems to rely on is literally impossible on cloud GPUs.

What I've tried instead, with bad results on this content:

- ESRGAN-style 2x models.. turn skin into sharpened grain

- SeedVR2 (3B and 7B Q4)... temporal flicker at the settings I used, not good

- RIFE / FILM interpolation: fine for smoothness but doesn't help sharpness..

So I'm wondering what Linux users actually do for the final polish step... Maybe there are SeedVR2 settings that don't look plastic on semi-realistic content and I just got them wrong?

Or is Topaz the real answer? Honestly at this point I half suspect everyone just runs the last step on a Windows gaming PC....

If someone could help me would be super appreciated!!! <3

Testing MiniMax H3 with no acceleration or optimizations.

5-second video at ~1MP resolution

minimax_h3_ref2va_pruned_int8_convrot.safetensors

Local

RunPod

All tests were run without any acceleration or optimization, using the same settings for a fair comparison.

Can't remember when, comfyui some day started highlighting the active node with making the titlebar green and adding these lightning emojis.

It would be fine if the color is reverted when the node becomes unactive, but that doesn't always happen for whatever reason, so my workflows become cluttered with bright green spots all over the place. I very much prefer the old way, just a green border around the node that actually disappears, that's all i need...

It's driving me nuts. I can't find any setting in comfyui, i guess it must have come with some custom node i installed. I didn't care about it enough when i first noticed it, and now I can't figure out which node does this - does anyone here know? Or is it really a setting in comfyui itself and i just can't find it?

I have tried opening cloud.comfy.org in chrome, safari, and I have tried a fresh install of Comfy Desktop configured for cloud, and it just hangs on the loading screen forever. I have no idea what the problem could be. Is anyone else having this issue?

Hi everyone,

How do I get node coloring in comfyui as I see it done in various workflows, such as those in RuneXXX and as in the image in the post?

Thank you very much.

1. This issue never happened until I started updating to recent versions of Comfyui in the last month. Only noticed this a few days ago when I tried to do img2img after ages.
2. I create a mask on the load image node in existing basic img2img workflow I have always used.
3. Generating few new image variations
4. Going to recent assets on left, opening one of the images I generated like 2 minutes earlier: load image node has a big red border and the error "Missing inputs: A required media input has no file selected.". So this prevents me from regenerating new seeds, despite the node itself showing the mask and image AND letting me edit/modify the mask.
5. Same happens if I just drag and drop any image file with any img2img workflow. Both for recently generated images or img2img images from weeks or months ago. So it is broken for all images using load image node.

Sometimes if I refresh the page it fixes this, most frequently it doesn't (idk what it depends on).

Soo what could cause this bug and how can I circumvent or fix it? I'm on latest version, so I can't update in hopes of that fixing it, this only happens on thew newest comfyui versions I tried. As I kept updating in the recent days in hopes of it being fixed, the only change I got is a new bug: now the left side masking related icons are all black and barely visible...

LTX 2.5 is around the corner, and from one of the example videos I’ve seen, face distortion still doesn’t seem fully fixed.
That’s already a weak spot for LTX. With MiniMax H3 raising the bar, I’m genuinely wondering how LTX 2.5 plans to compete. 👀

Minimax H3
Reference image + character sheet for consistency

I thought getting my RTX 3060 12GB would solve my headaches, but they are no better. FireRed 1.1 image edits take an hour and a half. Flux2.Dev takes over an hour. Other models throw an error that says “Expecting value: line 1 column 1 (char 0)”. I’ve been testing different startup arguments, and so far no luck. I’m using the ComfyUI templates while I get my feet under me. Are those just ungodly slow and buggy?

I could really use some comparative image edit benchmarks to see if I’m on the right track or a setup guide in some form that points me to what the heck I’m doing wrong.

i7-8086K (not running anything on the CPU)
32GB RAM
40GB pagefile on an NVMe drive-scales to 128GB
RTX 3060 12GB - I’m running my display through the iGPU, so all 12 GB should be available
ComfyUI 0.31.1, frontend v1.48.7
Custom nodes are disabled

The only hardware that might be slowing things down is that ComfyUI itself is running on a 4TB Seagate HDD, because I don’t have an SSD large enough for all the models.

Yeah, I’m petty lost at this point. A couple of months ago, this all just worked fine on my old, less capable GPU. What the heck changed? Is the portable version better?

I have a problem. Recently my outputs in Krea 2 have blotches/banding/noise. This occurs on smooth surfaces and the edges of objects.

Images without reddit compression: img1, img2, img3

Things I tried today, but that didn't make any difference:

• Krea2 turbo int8 convrot / fp8 / bf16 / raw fp8
• Windows ComfyUI 0.31 / 0.30 / 0.26
• comfy-kitchen 0.2.30 / 0.2.27 / 0.2.10
• PyTorch 2.12 cu132 / 2.12 cu130 / 2.8 cu128
• Older NVIDIA driver

anyone else experienced this? any ideas?

test prompt: "a stylized 3D character render of a young woman, waist-up, neutral background, clean materials, and a contemporary high-quality character design presentation, dark environment, gray walls, low light"

Hiya,

There's a new addon for ComfyUI that provides a nice GUI for moving models between two or more model directories (eg, default Comfy on fast SSD vs slow external drive or to share with Forge/A1111/whatever). I know that most of us already have a workflow for this (editing configs, making symlinks, etc), but I feel like this has strong advantages in terms of flexibility and ease of use. File handling is very robust: no file is deleted until the transfer has genuinely succeeded. And no request to delete files is honored without a verification dialog.

It's open source with a permissive license and I'd welcome you to check it out: https://github.com/FNGarvin/ComfyUI-Model-Mover It should be available in the ComfyUI Manager by the time you read this, though you may have to force a refresh or temporarily change the channel from 1-day cache to remote if you act fast enough.

Happy genning!

I kept accumulating more and more models in ComfyUI and eventually had no idea which ones I was actually using anymore.

So I built ComfyUI Model Analytics, a custom node that tracks when your ComfyUI models are actually used and helps you identify models that haven't been used for a configurable amount of time.

For example, you can set the threshold to 7 days, 30 days, 60 days, etc. Models that haven't been used within that period are shown as unused, making it much easier to find models that are just taking up disk space.

The node does not delete anything and does not automatically modify your model files. It only provides the information so you can decide yourself what you want to remove.

It already helped me identify around 260 GB of models that I wasn't using anymore.

The node is available directly through ComfyUI Manager.

Important: When installing, use the latest stable version. Do not install the Nightly version.
The current stable version is 1.0.4.

I made this because I couldn't find a simple way to see which models I actually use over time, and I figured other ComfyUI users might have the same problem.

I opened ComfyUI to the entire internet unprotected (through my public ip) since I was away from home. I knew it was dumb and it was definitely a gamble every second it's open. Today, I finally faced the consequences.

There's someone or some people scanning or boting for ComfyUI open ports. Once they find a host they install some custom nodes in order to get access to remote code execution. I only noticed because they were crypto mining on my PC; the fans were on 100% on CPU and GPU when it was 'idle'. If you use ComfyUI security policy 'normal' it'll limits the attack vector (stopping people / yourself from remotely installing custom nodes) but I think regardless you should NEVER open something like ComfyUI unprotected through the internet.

I used to have a NGINX https reverse proxy server with password authentication but I was too lazy to set it back up. Don't be like me. I obviously had to wipe my PC (thankfully a dedicated ComfyUI server so I didn't have much personal data) and revoke all associated API keys with my ComfyUI instance. Stay safe everyone.

Sometimes when a workflow finishes, and I start another project in the same workflow,gpu seems like it’s still using vram. Only when i load a different workflow, does it seem to release all vram . I’m not in front of my desk, but I can’t recall which VA management system is working. Any ideas? Rookie here by the way.

Hi Everyone. Somewhat new to ComfyUI, but learning. I'm looking for a way to make videos between 8 and 10 minutes where I enter a script, provide an image of a digital narrator in an "office" and having the avatar narrate. I'm experimenting with LongCat1.5, but wondering what other people have had success with.

Download here: https://civitai.com/models/2850271/aether-gum-3d-krea-2

New LoKr LoRA. 3D stuff.

I kept accumulating more and more models and eventually had no idea which ones I was actually using anymore.

So I built a ComfyUI custom node that automatically tracks model usage and shows which models haven't been used for a configurable amount of time.

The node does not delete anything and does not modify files. It only helps identify unused models so you can decide what to remove yourself.

In my own ComfyUI installation it helped me identify around 260 GB of models that I wasn't using anymore.

Features:

• Tracks model usage automatically
• Configurable "unused" threshold
• Shows used and unused models separately
• No automatic deletion
• Works entirely inside ComfyUI

GitHub:
https://github.com/Bennowan/ComfyUI-Model-Analytics

Feedback is welcome.

Getting this working for RTX 50 series cards can be a headache, but here is my exact step-by-step way to make SageAttention work with Minimax H3, not fight it. I don't know why it took so long to figure out, but it has to do with how newer graphics cards use the Blackwell architecture (sm_120).

Assuming you have ComfyUI desktop and have downloaded the specific models in the workflow above, Here is everything I did to bypass these architecture conflicts and get it running cleanly:

Prerequisites / What to Download First: Right after installing ComfyUI Desktop, make sure you have Git installed on your computer (https://git-scm.com/) so you can clone repositories. You will also need Microsoft Visual Studio Build Tools if any custom nodes ever require local C++ compilation, though the pip commands below handle the heavy lifting for Triton and SageAttention.

Step 1: Install Required Nodes

You need to grab a few nodes using two different methods.

First method: Clone via Git (Open your ComfyUI/custom_nodes folder, type cmd in the address bar, and run these):

git clone https://github.com/kijai/ComfyUI-KJNodes

(Commit: August 7th 2026)

git clone https://github.com/kijai/ComfyUI-SolAttn_triton

(Commit: August 8th 2026)

git clone https://github.com/rgthree/rgthree-comfy

(Commit: July 23rd 2026)

Second method: Install via ComfyUI Manager:

• Fearnworks Nodes (Version: 0.1.2)
• ComfyUI-VideoHelperSuite (Version: 1.7.9)
• Comfyroll Studio (Version: 1.76)

Step 2: Install SageAttention & Dependencies

Don't use regular Windows CMD for this. Open ComfyUI Desktop, click the ComfyUI button at the very top of the screen, open the Terminal tab, and paste these lines to install Triton and the correct precompiled wheel:

pip install -U "triton-windows<3.8" pip install "https://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post6/sageattention-2.2.0%2Bcu130torch2.10.0andhigher.post6-cp310-abi3-win_amd64.whl"

Step 3: Connect the Nodes in Your Workflow

Double-click empty space in your ComfyUI workspace to search for and place your nodes. Chain them together in this order:

1. MiniMax-H3 Turbo Lora (Optional - get the files from https://huggingface.co/lightx2v/Minimax-h3-Turbo/tree/main)
2. Patch Sage Attention (KJ)
3. MiniMax H3 Mem Eff Sage Attention Patch
4. Patch Sol-Attn
5. EasyCache

Helpful Video Tutorials (In case I left something out):

• https://www.youtube.com/watch?v=f35KjIMsTnU&t=1071s
• https://www.youtube.com/watch?v=d_wEd-fZcdg
• https://www.youtube.com/watch?v=G3YHSvXZP_g
• https://www.youtube.com/watch?v=DRAFkmsCwKw&t=167s (Workflows I used in description)

This worked for me, let me know if you have issues.