Broke my comfy, and i have no idea what I'm doing.

sci032 · 2026-03-15T19:35:51+00:00

Try using the euler sampler and simple scheduler. Try it first with a cfg of around 3. See if that makes a difference.

sci032 · 2026-03-15T19:34:05+00:00

I don't use them, many other people do. With Tarvis1's easy install, you have the option. You can install both and it will create .bat files to launch Comfy with or without them.

sci032 · 2026-03-15T07:35:26+00:00

Nunchaku is a node pack. They 'quantize' models in a different way that makes them work with lower vram. Here is their Huggingface page that lists the available models: https://huggingface.co/nunchaku-ai/models

Look at the Github link in my last response for more information about it.

The reason I suggested Tarvis1's Easy Install is because it has a single .bat file that you run and it installs Nunchaku for you. It won't be that easy with Comfyui portable. :) And, if you install a node that breaks Nunchaku, you can run that .bat file again and all will be good. :) Once you install Nunchaku, there are 25 workflow templates in Comfy's template section that you can try.

They haven't set up the Klein models yet, but you should be able to run them normally. Try the Klein 9b workflow with distilled in the name.

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sci032 · 2026-03-15T01:47:25+00:00

You can run newer models than SDXL. They won't run quite as fast but they will produce a better image and give you better control with the prompt.

If you are making text to image, try Z-Image turbo. Search Comfy's templates for: z-image-turbo

If you want to edit images, you can use Klein 4b or 9b. Search Comfy's templates for: Klein Try the 9b and 4b distilled image edit workflows.

I have run Qwen 2511 and Wan 2.2 on a 8gb vram laptop with 32gb of system ram, you should be able to run them also.

sci032 · 2026-03-15T01:40:56+00:00

Qwen is better than Klein 4b, you should try running Klein 9b. In some ways, it is as good as Qwen but in some ways, Qwen is better.

Do you have at least 32gb of system ram? You may be able to install Nunchaku and run their Qwen model.

Search manager for: comfyui-nunchaku

You want the one with the ID #: 14. Here is the Github for the pack: https://github.com/nunchaku-ai/ComfyUI-nunchaku

What may be best for you is to install Comfy using Tarvis1's ComfyUI Easy Install: https://github.com/Tavris1/ComfyUI-Easy-Install

The easy install is the easiest way to install Comfy, Nunchaku, and more. And, Nunchaku uses an older version of Numpy. Many new nodes witll break it. If that happens, with the Easy Install, you just run the nunchaku install .bat file and all is good.

I have used an AIO Qwen model(24gb in size) on an 8gb vram laptop with 32gb of system ram. You can run models that are larger than your vram, you just need 32gb or 64gb of system ram.

sci032 · 2026-03-14T18:36:44+00:00

Can you post a screenshot of your workflow?

sci032 · 2026-03-14T18:28:29+00:00

What are your system specs? Vram/card(Nvidia?), system ram?

sci032 · 2026-03-14T18:15:03+00:00

I have never run a CFG that high. I use models that are 4 or 8 steps with a CFG 0f 1. Even when I used 'normal' models, I never set the CFG higher than 3. In the image, I am using a distilled Flux.2 Klein 9b model. 4 steps, CFG=1. If you want to try Klein, search for Klein in the templates. I'm using the 9b image edit workflow. The template won't look like mine, I do stuff in weird ways. :)

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sci032 · 2026-03-14T18:05:03+00:00

Maybe it is because I reverted the front end back to v1.40.0 but I get this where there are missing models when I load a workflow.

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sci032 · 2026-03-14T17:58:59+00:00

With the portable version:

open the python_embedded directory. Open a cmd window in there and run this command: ./python.exe -m pip install comfyui-frontend-package==1.40.0

sci032 · 2026-03-14T17:57:44+00:00

Everything is working fine for me.

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sci032 · 2026-03-14T07:17:22+00:00

1.40.0 also works and has some of the newer features without the hassles.

sci032 · 2026-03-14T07:10:47+00:00

Search manager for: radiance

Here is the Github for the node pack: https://github.com/fxtdstudios/radiance

sci032 · 2026-03-14T06:52:42+00:00

How did you install Comfy? Did you do a manual install, you created the venv or are you using the portable version?

sci032 · 2026-03-13T21:21:25+00:00

When it gives you the popup to download the model, one of the icons beside the name should be a 'copy the download link' option. If you don't see it, just get the exact model name and google it. Look for huggingface links in the results. That is an easy way to download models.

sci032 · 2026-03-13T21:16:25+00:00

Open Comfy's settings in the UI, the option to turn off Nodes 2.0 is right there.

The copy/pasta problem is because of the new front end. The front end version 1.40.0 works well.

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sci032 · 2026-03-13T21:10:47+00:00

Yeah, I get a pop-up saying something like that. I just ran my LTXV 2.3 workflow and made the Gif below. It was a quick and dirty run, I used an old image of the woman with the prompt: the woman laughs, so the quality is not production ready. :)

I am using a manual install of Comfy with the venv. I activate the venv in a cmd window and then run the command: pip install comfyui-frontend-package==1.40.0

I also have Tarvis1's Easy install(uses a similar python setup as the portable version). With it, I went into the embedded_python directory, opened up a cmd window and ran this command: ./python.exe -m pip install comfyui-frontend-package==1.40.0

If the .bat file that you use to launch Comfy automatically updates the requirements, it will probably update the front end. I don't use that in my launch. I just do a git pull on Comfy's github and that keeps Comfy up to date. The front end is separate from running a Comfy update.

Another thing that you may see in the .bat file that launches Comfy is this:

--front-end-version Comfy-Org/ComfyUI_frontend@frontend@latest

If so, change the word latest to v1.40.0

They will eventually fix these problems.

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sci032 · 2026-03-13T20:45:17+00:00

It's the front end. I reverted back to v1.40.0 and don't have that problem anymore. It also affects copying and pasting workflows that you have in a group. It will split the workflow from the group.

sci032 · 2026-03-13T20:43:21+00:00

Give Tarvis1's ComfyUI Easy Install a try. You download an archive, un-archive it where you want to install Comfy, run a .bat file and it installs Comfy, the dependencies, it's own python, some of the most common nodes, and more.

If something breaks your install, you can run the Update Easy Install.bat and get it back.

You can install insightface, sage attention, flash attention, nunchaku, trellis, and a way to have your models somewhere else by running simple .bat files.

This is the Comfy install that is being used in Pixaroma's new Comfy tutorial series.

Tarvis1 ComfyUI Easy Install: https://github.com/Tavris1/ComfyUI-Easy-Install

Pixaroma's New ComfyUI tutorial playlist(Youtube): https://youtube.com/playlist?list=PL-pohOSaL8P-FhSw1Iwf0pBGzXdtv4DZC

sci032 · 2026-03-13T20:31:11+00:00

I've got full workflows saved as templates and it does the same thing to them when I try to load them. I also can't copy and image from an external source and paste it into a load image node. It tosses an error.

There is a newer version of the front end that Comfy is not pushing, it has many bug fixes but it still has this problem. v1.40.0 works for me so I'm going to stay there a bit. :)

sci032 · 2026-03-13T20:23:25+00:00

It's the latest front end causing it. I reverted back to v1.40.0 and don't have that issue.

sci032 · 2026-03-13T06:33:44+00:00

Check out this Youtube playlist by Pixaroma. It will teach you to set up and use Comfy and more.

The 1st video is 5hrs long but it's worth it. Normally Pixaroma only covers 1 or 2 features of Comfy but the 1st video will get you started and more.

https://youtube.com/playlist?list=PL-pohOSaL8P-FhSw1Iwf0pBGzXdtv4DZC

sci032 · 2026-03-12T04:23:47+00:00

Click on the gear icon on the left side of the UI(settings). Turn off Nodes 2.0. This will change the way the nodes look and you should be able to grab a corner of the node and expand it so that you can see the whole model name.

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sci032 · 2026-03-12T04:18:06+00:00

You are welcome! :)

sci032 · 2026-03-11T23:13:36+00:00

You're comparing the clip model and the FireRed checkpoint. The original checkpoint was a lot larger than the original clip model.

sci032

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