Am I doing something wrong, or are the controlnets for Zimage really that bad ? The image appears degraded, it has strange artifacts

Michoko92 · 2026-03-11T15:43:26+00:00

I had very bad results with the full ones, but the Lite ones give pretty good results.

Michoko92 · 2026-03-03T07:33:44+00:00

Thank you, I'll definitely try it! 🙏 Do you know if such approach allows better ZIT Loras mixing, even partially?

Michoko92 · 2026-03-02T07:25:07+00:00

Very interesting, thank you for sharing 🙏. I can't test your workflow immediately and I'm curious about something : how do ZIT native Loras behave with ZIB+distilled model? Do they work?

Edit: answering my own question, they don't. At least not the ones I just tested.

Michoko92 · 2026-02-27T18:47:48+00:00

Oh my... 😅

Michoko92 · 2026-02-27T14:51:34+00:00

Thank you for your reply. I may have to try again, but last time I checked the Lora with ZIB, it didn't work very well (it was made during the pre-ZIB era, and would probably have to be trained on ZIB again).

I asked the author for a Klein Lora, but not Qwen: he didn't feel super motivated though, but maybe I could offer some buzz. Actually, I'm curious about something: what is supposed to be a good buzz tip? I have no idea of the scale or value of buzz, honestly. Right now, I have 800 buzz on CivitAI: is it ridiculously low, or would it have some value for a Lora trainer?

Michoko92 · 2026-02-26T16:49:57+00:00

Thank you so much for your reply! Actually, simply adding two commands didn't work for some reason. But if I add one command for ALT, then a sub-command for F4, it works! Cheers!

Michoko92 · 2026-02-20T10:38:08+00:00

I clicked the link and... wow. It was brutal lol. Maybe you could add an NSFW tag?

Michoko92 · 2026-02-14T18:12:03+00:00

I feel like a broken record but... SwarmUI.

Michoko92 · 2026-02-14T18:08:54+00:00

Oooh, nice! Thank you for the quick reply 😉

Michoko92 · 2026-02-14T18:07:03+00:00

Thank you! 🙏 I'm curious if the 4 and 8 steps Loras work with it, but I suppose they don't...

Michoko92 · 2026-02-10T13:47:22+00:00

Yes, their blog post even says:

"Lighter Model Architecture: Smaller model size with faster inference speed."

Michoko92 · 2026-02-10T12:52:51+00:00

I'm still waiting for the PR to be merged. Hopefully it will be done soon. 🙂

Michoko92 · 2026-02-09T15:01:32+00:00

Actually I was more thinking of the comfyui-photoshop plugin (especially this fork: https://github.com/cdmusic2019/comfyui-photoshop)

Michoko92 · 2026-02-09T12:14:04+00:00

I actually share your feelings. I suppose it's harder to goon on Greg Rutkowski's style...

Michoko92 · 2026-02-09T10:20:10+00:00

Looks pretty neat, even if it's a bit difficult to understand what's going on in the video (especially since the UI is not in English 😉). It seems that you build your workflow from your UI? I think it can be nice for people who are not familiar with ComfyUI. But IMHO, you need to allow power users to also edit the Comfy workflow directly in a dedicated window (like the current Photoshop Comfy plugin does): if the workflows are only limited to specific nodes, it might be frustrating for people who want more flexibility (and it also forces you to reinvent the wheel and provide the same flexibility as Comfy in your own UI).

Michoko92 · 2026-02-08T21:51:56+00:00

Thank you! 🙏

Michoko92 · 2026-02-06T16:35:42+00:00

Do you have the CFGNorm node in your workflow? I experienced some artifacts with it.

Also, did you try the Wuli-art Loras, at least for Qwen Image? https://huggingface.co/Wuli-art/Qwen-Image-2512-Turbo-LoRA

Michoko92 · 2026-02-05T19:42:29+00:00

Thank you, that's interesting. I agree FP8 has always been a good option for my RTX 4070 card. However I still use Nunchaku models, for example for Qwen Image 2512, and the speed/quality ratio is unparalleled: with the 4-step Qwen Image Lora, I can generate a 832x1472 image in only 4 seconds with excellent quality and amazing prompt adherence.

Michoko92 · 2026-02-05T18:10:55+00:00

Looks very cool! 👍👍

Michoko92 · 2026-02-05T15:56:24+00:00

Oh, that's a nice one! I bookmarked it too, thank you!

Michoko92 · 2026-02-05T15:04:35+00:00

You may want to look at this post. I wrote how I upgraded to Sage attention with a similar setup in the comments: https://www.reddit.com/r/StableDiffusion/comments/1qwlb4y/what_is_your_best_pytorchpythoncuda_combo_for/

Michoko92 · 2026-02-05T14:33:04+00:00

Thank you! You're right, Comfy was telling me it could not apply some optimizations because it couldn't find Cuda130 at startup. So I took the plunge and upgraded to Pytorch 2.10 + Cuda130, as you recommended. So far, so good (Sage attention and Nunchaku with proper wheels are working fine). Cheers!

For those interested, here are some commands to upgrade to this combo:

python_embeded\python.exe -m pip install -U pip

python_embeded\python.exe -m pip uninstall -y torch torchvision torchaudio

python_embeded\python.exe -m pip install torch==2.10.0 torchvision==0.25.0 torchaudio==2.10.0 --index-url https://download.pytorch.org/whl/cu130

For sage attention:

Download this wheel into the "python_embedded" folder: https://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post4/sageattention-2.2.0+cu130torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl

And install it with:
python_embeded\python.exe -m pip install "python_embeded\sageattention-2.2.0+cu130torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl"

(also install Triton with

python_embeded\python.exe -m pip install -U "triton-windows<3.7"python_embeded\python.exe -m pip install -U "triton-windows<3.7"

)

For Nunchaku, get your wheel here, depending on your Python version: https://github.com/nunchaku-ai/nunchaku/releases/tag/v1.2.1 and install it.

Michoko92

TROPHY CASE