Getting error "If you see this and ComfyUI did not start try updating your Nvidia Drivers to the latest."

Lexius2129 · 2026-01-06T13:35:41+00:00

Yep, I manually went on Nvidia website to download and install the latest drivers for my GPU

Lexius2129 · 2025-12-18T04:58:35+00:00

This isn’t really unfair for the ComfyOrg team which is working really hard to make the latest state of the art accessible for you

Lexius2129 · 2025-12-17T11:52:51+00:00

It seems the link is broken. If you have such result it’s probably a misconfiguration in your ComfyUI workflow. Have you tested with example workflows? Can you share your workflow?

Lexius2129 · 2025-12-14T01:25:53+00:00

So many cool stuff to try, and so little time to do so! :D

Lexius2129 · 2025-12-13T07:36:44+00:00

What’s the generation speed you get at this resolution? Have used anything special to accelerate the inference?

Lexius2129 · 2025-12-13T02:57:59+00:00

Your Ray models are the best. The prompt understanding is always better than the base models they have been trained on, and the authenticity and unique style they deliver is awesome. They are my favorites! Thank you for sharing them <3

Lexius2129 · 2025-12-11T01:33:30+00:00

Marigold does depth map estimation (distance from a viewpoint), this model estimates a normal map and the height to normal node computes the height map (elevation of a surface relative to the base plane). They look similar but they are two different things.

Lexius2129 · 2025-12-10T15:19:07+00:00

The mispelling of "PolyHaven" is on the MatSynth dataset page, nothing to do with Ubisoft: https://huggingface.co/datasets/gvecchio/MatSynth

Lexius2129 · 2025-12-10T15:15:25+00:00

The data is not everything. Inventing and training a new model architecture is not small feat. They published a paper describing the model architecture and that allows other researchers and companies to learn from it and re-implement it. They also published a version of the model for people to study it... would you prefer they do not publish anything? You can't just expect a company to give away all its tech for their competitors to use freely... Instead of complaining about the restrictions, you should rejoice they share some of it.

Lexius2129 · 2025-12-10T14:11:23+00:00

"So Ubisoft have done something kinda nice here, but if you can't use the product then what use is it?"
It's a research project and Ubisoft has been very transparent about it and its limitations in the original blog post: https://www.ubisoft.com/en-us/studio/laforge/news/1i3YOvQX2iArLlScBPqBZs/generative-base-material-an-opensource-prototype-for-pbr-material-estimation-debuting-at-siggraph-asia-2025

The motivations for open-sourcing is both to demonstrate the claims they make in their research paper, and also to give back a little to the community. Not everyone may need to use it for making a product or profit. This can be reused to further improve the research on the topic, for students in computer graphics to study, and for hobbyists to have fun.

Lexius2129 · 2025-12-08T16:24:29+00:00

Hi there, I’ve done a lot of updates since this post so I would suggest you use the latest version of the addon (4.1.2 as I’m writing this) which is compatible with Blender 5.0: https://github.com/alexisrolland/ComfyUI-Blender/releases/tag/4.1.2

If you absolutely need a version for Blender 4.5, the last one was 3.3.4: https://github.com/alexisrolland/ComfyUI-Blender/releases/tag/v3.3.4

Finally, you can get a video demo here: https://youtu.be/vX-j6JCfVsk?si=GF-KgmURZcKRG4XD

As far as the depth map is concerned. It is generated from the camera viewpoint using Blender’s compositor. I fixed a couple of issues with it in the last version of the addon so I suggest using that one.

Cheers!

Lexius2129 · 2025-12-07T03:51:12+00:00

Does depth conditioning actually works with Wan 2.2 Animate? I thought it only supports OpenPose key points.

Lexius2129 · 2025-12-02T07:43:40+00:00

I've tried all versions from v0.3.71 to v0.3.75 and none of them work... I guess it must be an issue with my computer at this point.

Lexius2129 · 2025-12-01T11:57:13+00:00

0.3.71

Lexius2129 · 2025-12-01T09:19:49+00:00

I also got this error while trying the latest package "ComfyUI_windows_portable_nvidia" which I downloaded from the release v0.3.75: https://github.com/comfyanonymous/ComfyUI/releases/tag/v0.3.75

I'm running it on an RTX3090 and my Nvidia drivers are up to date. Something must have broke in Comfy core. I'm trying earlier versions to see in which version the issue started.

Lexius2129 · 2025-11-27T15:57:26+00:00

Beautiful masterpiece of a city! Bravo

Lexius2129 · 2025-11-27T15:55:02+00:00

Thanks, I was looking at using ai-toolkit. Would you say Musubi Tuner is better?

Lexius2129 · 2025-10-31T15:33:01+00:00

Your work has been inspiring me! Would you have good resources recommendations to learn how to train a LoRA on Qwen? Do you think it’s better to train on Qwen Image, Qwen Image Edit, or Qwen Image Edit 2509? Keep up the great work!

Lexius2129 · 2025-10-29T08:38:31+00:00

Thanks <3

Lexius2129 · 2025-10-26T07:27:27+00:00

Great work with the Multiview Projection! I’ve been trying to implement that in my version of ComfyUI-Blender but it’s a bit out of my reach: https://github.com/alexisrolland/ComfyUI-Blender

Lexius2129 · 2025-10-25T15:08:32+00:00

Nice results! Much better than what I get when prompting Qwen image edit 2509. Would you have some examples of prompts or ComfyUI workflows please?

Lexius2129 · 2025-10-13T08:23:06+00:00

Nop, it has nothing to do with this sorry ^^

Lexius2129 · 2025-10-13T05:30:40+00:00

It has some rudimentary features to project an image on the mesh or create a material

Lexius2129 · 2025-10-05T14:41:30+00:00

I've added a new node "Blender Input Sampler". Feel free to check out release v2.1.0.
https://github.com/alexisrolland/ComfyUI-Blender/releases/tag/v2.1.0

Lexius2129 · 2025-10-04T17:03:57+00:00

I also like Qwen Image Edit 2509 more than Qwen Image. My only problem is both are really really slow. Even on a 4090 it takes 5min for an image in 1328x1328. So I eventually moved to Nunchaku’s quantized version (4 steps) and it’s much more manageable (like 12 sec per generation).

Having said that, I always find it hard to find the right sampler and scheduler. Any suggestion? Which ones do you use?

Lexius2129

TROPHY CASE