💋💀 DaSiWa-WAN 2.2 I2V 14B SynthSeduction v9 | Lightspeed | GGUF 💋💀

In my experience, 2+2 actually gives the cleanest results. While the theory suggests shifting toward a 1:2 ratio as steps increase, keeping it minimal often prevents over-processing. At a low step count, this 2+2 balance maintains the best structural integrity and clarity without introducing unnecessary artifacts.

@fadedninna I already know that in a total of 4 steps, the ratio is 2:2.
What I want to know is the appropriate ratio at higher step counts.

When I mentioned 1:1, I was referring to the ratio, not the number of steps.
As already stated, 2 steps + 2 steps = a 1:1 ratio.

My question is about the ratio when the total number of steps exceeds 7.


In cases like SIMPLE + SHIFT8, or BETA57 + SHIFT5, the ratio generally stays close to 1:1.

However, with SIMPLE + SHIFT5, I’ve seen graphs where the High portion gradually decreases, causing the convergence value to change significantly.

Since I usually work within the 7–12 step range, I want to know what the appropriate ratio is for that range.

Roughly speaking, if we take L5 + H10 = 15 steps as a reference, it seems that as the total step count decreases, the ratio gradually converges toward 1:1 while scaling down.

In practice, it appears to converge to something like H4 : L7 or H3 : L5.

For reference, I don’t use 2 + 2 at all.
Two steps are too short and can cause issues with motion.

Even at the lowest end, I use H3 + L4 as the minimum setting.

@dkjdjsww I wonder if anyone would provide a appropriate answer. Because any step above 8 on distilled models introduce misbehaving or artifacts. Not to mention that in almost 99% of all cases even any step above 6 is not adding any quality to the outcome.

High steps define the motion and low refiner the details.

It is totally dependent on the noise/latent ratio when any high steps will not provide anymore to the motion. What results in almost all cases in a 1:1 ratio. In some minor cases it can benefit from more steps in low than high, but that's rare and high needs at least 2 steps in high to finish the motion.

@darksidewalker Thank you so much for the great quants and insight!
So almost best quality can be obtained by H3 + L6? or what do you mean exactly by not needing more than 6 steps? do you mean overall? or H6 +L6?

@omarroshdi112 6 total

@darksidewalker @omarroshdi112 I haven't analyzed it myself or reached any conclusions. Instead, I watched comparison videos on other YouTube channels and Reddit using the same light LORA. The quality needed to exceed total step 10 to show decent detail, they recommanded 15step+, and it wasn't about the DASIWA model. Personally, I tested the DASIWA v8 model with SHIFT 8 at 5:5/4:4/3:3. While the difference wasn't huge, 5:5 showed slightly better detail when zooming in quickly on freshly rendered skin right after undressing. 3:3 was the weakest. It wasn't a huge difference, but there was definitely a difference. Also, since this was SHIFT8, I used a 1:1 ratio, but I've heard SHIFT5 is best. However, I've seen many common explanations on YouTube and Reddit stating that in Euler Simple Shift5 environments, you shouldn't use 1:1 at high steps. Honestly, I didn't find any major issues with H3 L3 either... But across various communities, H2:L2 was rarely used. If it's confirmed that high steps aren't necessary, I plan to use only low steps whenever possible from now on.

@darksidewalker @dkjdjsww Thank you guys so much, Really appreciate your work mate! @darksidewalker

thats the biggest problem bro same in wan 2.2 i have tried every model, but that real thing is with cfg 1.0 we can't use negative prompt such as zoom in or close up

@kumarkishank959811 You can go TrueVision without lightning or NAG

@darksidewalker How do you do that? Would doing 1.1 cfg be better?

My workflow has NAG feature or you use the TrueVision model from me, there you can go wuth cfg 3.5, but do not have ligthspeed.
Lightspeed/distilled models work with cfg 1, you can try 1.1 but I can not tell you if this will give quality results or introduce other problems.

@darksidewalker Yeah 1.1 doesn't do anything. Do you have that issue with q8 about camera drifiting and moving? Maybe it's a sampler/scheduler thing.

@SolHel Well, every sampler+scheduler will do other results. Normally you want to try different prompting till you meet your result.

Camera is FIXED , IP-camera, Security camera, CCTV

After achieving a similar effect, I saw good results.
I'm not sure if it's completely effective, but I've seen great results.

Please specify a particular camera.

I've written everything down.

Try adding a tripod or other .
Conversely, when good movement is required, I write “Drone camera.”
I don't know how effective it is, though.

There are hundreds on YT for using WAN 2.2, what do you missing?

Go see Gordon Ramsay and complain that no one will teach you how to make Beef Wellington.

There are plenty of people like you in Korea too. Mostly because it's not an English-speaking country, there are absolutely many people who find it impossible to understand how to use it or even access it.

But there are so many people on YouTube teaching the exact how-to.

These two groups never see each other.

They live on different dimensions.


The fundamental gap in basic comprehension and the wildly different final world people vaguely imagine is why I think no one online honestly teaches the method.

If you imagine a world where everything gets solved with just one mobile app install button, it seems like there won't be a solution for at least the next three years. . GPUs a

In the Korean community,

when introducing the WAN 2.2 model and its results,

most people are pessimistic and criticize it..

They console each other by saying they'll find a worldview far superior to WAN.

Most have completely given up on WAN 2.2. They're currently immersed in GROK, producing illegal videos, and have become utterly despairing since censorship began.

It seems less than 1% of Koreans can actually do WAN.

Even among RTX5090/RTX5080 owners, most don't use AI. They don't even know how.

First off, the entire COMFYUI installation and usage process is in English, making it hard to understand.

For those with lower intelligence, it's like entering the gates of a new hell. Korean RTX5080/5090 users are people who just want to relax comfortably. They lack the courage to navigate this new hell.

A significant number can't even reinstall Windows themselves.

That's why most people are paying for GROK.

@dkjdjsww nice insights, but if I would do a explanation video it would also be in English and I wrote a huge guide on WAN 22 here. So this would not cater to that people.

@dkjdjsww 너 씨발 한국인이면서 외국인인척 하면서 한국인 욕하고 있네?

@darksidewalker I'm comfortable with this sort of thing now, but when you're first starting off it's extremely overwhelming. Even 'basic' tutorials are usually outdated, and feel like they start in the middle instead of the beginning. Personally I benefit from still images, like screenshots of actual workflows. I think the op may be referring to something similar, which is what I had to really search for when starting out.

The resolutions you mention are not supported by WAN AI and I think you are doing something weird, because consumer grade hardware can not render that resolution without OOM.

No, I am using 1920×1080 and 1080×1920, or resolutions very close to them, without any problems at all.

https://www.youtube.com/watch?v=wJAR1j_wTns
https://www.youtube.com/watch?v=mfNlsAqVd3o

THis Youtube channel is not my main channel, I made this channel just recently for upload some video clip only for NSFW test on YUTUBE.


These resolutions themselves are not an issue;
this is a bug that occurs only under specific conditions, and it does not exist in version 2.1.

Please check the video.

This was generated in WAN at 1920×1080 and 1080×1920 without any upscaling.

After that, it was upscaled to 4K. (from native 1080p video by wan 2.2)

I am not a beginner.

I have a very high level of experience and have generated over 200,000 WAN videos.


summary

Wan 2.1 = 1080x1920 and 1920x1080 noproblem

wan 2.1 = 1920x1080 / 1600x1280 /1600x1312 =100% no problem this range I allways use this area resolution. 1.8MP~2.08MPixtel. native resolution.
it doesn't need expensive GPU

of course 81frame+ and Q8 gguf Dasiwa model.

I am using 81~97fps for 1.8MP~2.1MP RANGE (FHD=2.08MP)


Torch2Multigpu nodes and 24GB GPU +64GB RAM is enough to make native 1920x1080p video
this node is not compatible with comfyui v8.xx maybe.
so I am using COMFY v7.00 now.
this node is better than block swap. you can produce 1920x1080 video with only 3090 GPU
6step = 30min
5step = 25min
4step =20min

for 81 frame. 100% clear and good. 85fps~97fps range is also possible.

and RTX 5090 is about 3.5 times faster than 3090.
It's almost factory-level performance.

I have few RTX 5090 and single 3090.
3090 also can produce 1920x1080 81frame+ video.



1440x1440 = small bug problem , but I con control (1440 height has a small problem)

1120x1680 = good for 2:3 ratio Grok NSFW picture. but Need some control too
you can see vertical video in my channel , the good result for long video . minimum movement and end frame.
you can check it the youtube channel,
Minimized movement and controlled a bug-like issue that only appears in vertically long videos using the end frame. The video is quite long... I natively stitched together about 800 frames. Afterward, I doubled the playback time to match the music and upscaled it from 1080p to 4K.

I expected it, but it's surprising how many people haven't tried 1920x1080.

With 24GB VRAM and specific nodes, it's done in no time.

You'll need at least 64GB of RAM, and it might even require 80GB.

Now RAM is just too expensive.

I can't say it's easy anymore.

But until a few months ago, it was incredibly easy and cheap.

not 16x, 8x is OK, I can output 360x640 here

Limited time, only one test group: High at Q2, with Low variants at Q2, Q4, and Q8.

https://civitai.com/posts/26382302

@PotatoChipOwO Thank you :) That helps

Thank you!

真的, 速度很快.

You searched? Here are some ways to find it:

- suggested resources just below

- my collection, right panel

- my page, promoted model's

- civitai search, the name of the model

...

But here is the direct link https://civitai.com/models/1981116

@darksidewalker Thank you very much, I dont know how i missed it. Thank you for helping me.

I do not know if you can, but it is possible. Is it also advised? - No.
Distillation is already baked in.

SynthSeduction should be better for that.

Very kind, thank you!

In front of you right under the headline.

damn for some reason my adblock was HIDING only that one :) And here I thought he forgot to upload q3 high for some reason :)

Crazy XD

Thank you! Kind words :) I hope you enjoy it!

@darksidewalker I have used this model for a few days now and the actions are still doing pretty much what I ask them. The problem though, and it's turning out to be a big problem, is the infamous Wan2.2 slow motion. What it means is that if you create 30 seconds of video, you're only getting 15 to 20 seconds of animation because everything is running slowly. If I switch back in the previous mix, everything is fast again but I get the annoying movements. Have you found any reliable solutions to this problem at all?

@youtougle2422 WAN 2.2 does not create 30s of video, it will be a mess, it is trained on 5s.
The problem with slow motions in some situations comes from distillation (4 step). If you totally want to prevent this you will have to use a model like my TrueVision or basic WAN 2.2, without distillation and 20-30 steps.

@darksidewalker Sorry I should have mentioned, I am using an SVI looper workflow so I am chaining several smaller clips together, not just trying to generate a single 30 second clip. I notice that other loras can affect things as well. I will see if I can integrate the Painter node into the workflow which I use to keep the speed up in my standard Wan2.2 workflow.

Please don't take my comment as being something negative though, I still prefer what it creates and the motion reliability is far more important than the slowdown. Wan2.2 has just been frustrating with the slowdown problem, especially for a noob to AI gen like myself. I genuinely appreciate the time you spend creating and sharing these models.

Planned for next version. Be aware that this would be less quality than Q5.

@darksidewalker it's supposed to be like Q4 but 'better' i guess, thanks! i will wait for it :D

Change the codec from VHS node to one that works for you (e.g. h264) or install ffmpeg properly.

@darksidewalker changed or ffmpeg reinstall, same error result. anyway Thank you for guide me.