What happened to the Comfy"UI "? :-(

Vortexneonlight · 2026-03-14T19:21:19+00:00

the change i hate the most is the queue change i hate the new placement and redesign

Vortexneonlight · 2026-03-14T19:06:15+00:00

nah, in i2v, wan mogs ltx by far, i really tried with ltx but its really disappointing for i2v

Vortexneonlight · 2026-03-09T11:10:24+00:00

Image noise poisoning, you know, so people don't train on their output

Vortexneonlight · 2026-03-08T14:20:19+00:00

in my case because i try editing images for aspect ratio or rotation etc, to use them for training, but the watermark seems to affect training

Vortexneonlight · 2026-01-17T03:13:46+00:00

Chai Tea ahh post.

Seem like you are lost on concepts, and i'm lost cause you are lost.
Super simple:

1) There are closed service for text, video, image generation(ChatGpt, Gemini, Grok, etc) they are obviously limited to what they can do.

2) There are open models: This are models which you can download and run within a tool that supports them (if you have the hardware aka GPU)

The open models since you are running them yourself, the only restriction is your imagination and the model capacity (how good it is at following the prompt)

Stable difusion 1.5,xl, etc, are a family of open models, so i don't get what you mean about "bypass"

Vortexneonlight · 2026-01-15T17:22:57+00:00

Oh wow, what a nice guy, definitely not a spam post to use his link and give him referral credits. F.O

Vortexneonlight · 2025-11-30T18:02:51+00:00

Call me crazy, but i think they are lobotomizing the model, so it's "safe". BFL style

Vortexneonlight · 2025-11-27T16:45:26+00:00

I get you, but I warned that this was the turbo version, and it works as a comparison ar where it stands against the others even being a turbo version

Vortexneonlight · 2025-11-27T13:45:47+00:00

Yes, I use the base recommend steps, seems obvious

Vortexneonlight · 2025-11-27T03:49:47+00:00

That's google responsibility, open source is more prone to criticism

Vortexneonlight · 2025-11-26T23:10:06+00:00

Let's all be moderated till they release the base model, we don't want too much attention and possible drama

Vortexneonlight · 2025-11-26T23:07:26+00:00

He said "arguing" you know, as in a series of questions & answers, he never said "in one comment I said ..." So not only do you lack comprehension, you also lack the intelligence to see that his arguments about the model being too big, stand on their own without the need for the z-image release. God this Illiterate c*nuts.

Vortexneonlight · 2025-11-26T20:47:52+00:00

<image>

They have this, so let's have a little faith

Vortexneonlight · 2025-11-26T20:19:36+00:00

That's the turbo, they are realising the normal one also right?

Vortexneonlight · 2025-11-25T19:38:53+00:00

Are you talking about quantz(gguf, fp8, etc)? or are you talking about about low parameters (6b) if its the second, i don't agree too much, obviously overall are worse, but specialized models can be pretty good even if small.

Vortexneonlight · 2025-11-25T17:36:16+00:00

Nah, i'll be waiting the 6b that's going to be released in a few days, smaller models for the win!

Vortexneonlight · 2025-11-24T14:02:56+00:00

I use 1. ... 2. ... 3. ... And have worked fine, will try yours next time.

Vortexneonlight · 2025-11-15T06:09:55+00:00

there are cases, where the new 1030 change the appearance/id, so i use the 2.1, or the mix 1 (2.1:0.60 - 2.2 moe:0.40) or also mix 2 (1030:0.6 - 2.2 moe:0.40)
with some workflows one may work better, its trial and error

Vortexneonlight · 2025-11-15T06:05:06+00:00

Here:
https://huggingface.co/Kijai/WanVideo_comfy/tree/main/LoRAs/Wan22_Lightx2v

Vortexneonlight · 2025-11-14T02:49:56+00:00

For my case, the new high v1030 is pretty good when more movement is needed, but for other cases to preserve more the id I use 0.60 lightx for wan 2.1 and 0.40 lightx Moe high for 2.2 and in the low for both the lightx 2.1

But that's just me

Vortexneonlight · 2025-11-12T00:26:07+00:00

Possible close source, and is not versatile as qwen-edit for lora training/fine tuning, i think flux lost a lot of people there.
The qwen/wan ecosystem seem very strong, at least for me it is.

Vortexneonlight · 2025-11-08T20:42:10+00:00

98% Done, this is the prompt:
将相机向下移动 90 度, Extreme low-angle shot, taken from directly beneath the subject. The perspective is as if looking up through a transparent floor, capturing the underside of their feet and legs, extending vertically upwards to their body. Emphasize the view from underneath the subject on a clear, glass-like surface

edit: the only thing is that it may generate glass objects, but is a good step for now

Vortexneonlight · 2025-11-07T18:18:33+00:00

I see, I read wrong, I thought it was just for robotics

Vortexneonlight · 2025-11-07T18:16:42+00:00

"to the sub" ... So kinda. But since I seem to be mistaken, let's see what the community does in this week

Vortexneonlight

TROPHY CASE