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

@darksidewalker I'm not sure what i'm doing wrong, If it helps any my Vram on the Q5H/L goes to 21.9GB/24GB, and the system ram goes to around 19.2GB out of 32GB, Here below is a small snippet on the first click run, if there is anything wrong let me know, i'm not an expert, I just follow guides and hit run...

got prompt

Using split attention in VAE

Using split attention in VAE

VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16

Memory profile cache hit for cuda_30303030-3030-3033-3030-303030303030::768::528::1280::880::3::fp32::linear: optimal_batch_size=1, max_safe_chunk=2048

Using scaled fp8: fp8 matrix mult: False, scale input: False

Requested to load WanTEModel

loaded completely; 95367431640625005117571072.00 MB usable, 6419.48 MB loaded, full load: True

CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cuda:0, dtype: torch.float16

Requested to load WanVAE

loaded completely; 12453.42 MB usable, 242.03 MB loaded, full load: True

gguf qtypes: F32 (2), F16 (693), Q5_K (280), Q6_K (120)

model weight dtype torch.float16, manual cast: None

model_type FLOW

Requested to load WAN21

0 models unloaded.

loaded partially; 9693.67 MB usable, 9668.01 MB loaded, 756.68 MB offloaded, 17.20 MB buffer reserved, lowvram patches: 0

0%| | 0/2 [00:00<?, ?it/s]F

Okay, with Q5H/L, and a few attempts, ive created a video in 31 mins, After that I hit run again to see if it breaks, or gets faster, or if it crashes something again, this time it took only 485 secs. Im now going to download Q8H/L and see if it works.

Working good now, It ran Q8H/L without issues. Thanks for model! <3

@ThatSoKitten What resolution and times are you getting on Q8? :)

@R3G4L takes me around 250 to 330secs, 81 frames, 528x768 - 5 sec video

@ThatSoKitten Maybe you should try lighter VAEs https://huggingface.co/lightx2v/Autoencoders
some go to the vae folder, some to vae_approx. ComfyUI supports them all

@qek ill try it!

@ThatSoKitten try them* There are three encoders available

@darksidewalker I see this, made it super bad

@ThatSoKitten Looks ok to me, but I can use original VAEs with no problems anyway. Kijai said the light autoencoders did not save a lot of VRAM/RAM compared to the originals

@darksidewalker Tried three light VAEs for 2.1, terrible quality, I am removing them

@darksidewalker yeah... You're right I'm thinking to swap to a 3060 with 12 vram, idk how much it will help, but I hope it gets from 30 40 (with Loras anda cfg, still less than before haha) to like 10 15 or something like that and probably with a q5 or q6

@matsudamac I'm using a 3060 12gb with 32gb of system ram. If the models are already loaded I can get a 5 second 720x720 in 6 minutes with the fp8 version.

@UncleJert really?! Then I will buy one in probably some weeks I have to save some money for it, but do you put cfg too? Or Loras? Ando how many steps do you use? I usually use a 4 or 6 steps, I followed @darksidewalker advised and checked the guide, now o see that my GPU not only it's not suitable for the ai technically it should not work haha. But still with Loras anda everything it's like that sometimes 40 and it could get to be more of I put more frames. But what do you mean about the models being already loaded?

@matsudamac 1.0 on CFG and 4 steps across two samplers. I never have an issue using loras. Only tend to use 2 loras at most though. When I say the model is already loaded, I mean that it's the second gen. Already warmed up is all. But I definitely recommend the 3060! 👍

Is Cloudflare Storage banned in the country?

UPD: I think i should try to set up sigma shift on low noise to something around 8-9

try 3:6, sigma high 4.5, sigma low 5

@darksidewalker Yeah, nothing against any individual that does it. I just found it interesting that this model built a little culture around it.

When uploading I2V results, civitai doesn't automatically fill in the prompts. You have to enter them manually, which is a bit annoying.

The only person that can give accurate prompts is the author since he is the only one that can create captions for the checkpoint. Only the creator of the lora or checkpoint knows the trigger words. The users are just guessing.

@hereandnow931 If I understand you correctly, "accurate" is not the same as "official". I mean, if someone used a prompt the checkpoint creator didn't think of, and it made the checkpoint do something that is surprising or cool, the only accurate prompt would be the prompt they used. Checkpoint creators don't know every single token of their models, and a user's guess can still end up with useful results. It can be productive to guess on a checkpoint, though maybe not as much on a lora.

@zzozz It is... I guess that makes the culture around other checkpoints and loras more interesting, that so many people do put it in manually. 

@darksidewalker I did not post indeed, but I have some experience. I'm using your last workflow without any Loras.

@darksidewalker Thanks a lot for your time, I will test different prompting and see if it persists !

Works great, but I can also report this hip sway thing.

@darksidewalker I understood where the wobbling came from. I was using "res_multistep/beta" from your workflow but then I checked this page and saw your recos. It's much better with "uni_pc_bh2/simple". Maybe update the recos on your the non GGUF model page if it's the same setting ?

I think he said no

@darksidewalker I too would like safetensor. It would be much appreciated! :)

safetensors compile by torch, For me, this way the speed is actually faster

Bro come on... https://civitai.com/models/1981116/dasiwa-wan-22-i2v-14b-lightspeed-v7-v1-or-fp8-safetensors

I'm also interested in the Safetensors version; not all applications have the functionality to use gguf. I sincerely hope you can release the Safetensors version.

@darksidewalker I didn't mean to make it sound like I didn't like your checkpoint, because I do like it. One of my more recent video uploads used it. I was using Midnight Flirt before this one became public, and I was just wondering if I was doing something wrong because I'm still fairly new to I2V generation

@darksidewalker No worries man, I got like 2-3 hours last night myself, lmao. I do really like your DaSiWa checkpoints, they are very good quality, and on the page for the TastySin checkpoint, my favorite showcase vid is the one where the girl in the black dress does a quick half-spin and it turns to white, the way her hair moves in that clip is amazing!

@darksidewalker  I’ll wait then, thanks for replying. 😊

You might be doing something wrong, it takes me an average of 180-200 seconds to gen 81 frames at 720x720 on a 5060 ti 16GB. With --use-sage-attention and --fast fp16_accumulation

You don't have to if Q6 works well, but feel free to test it

Already tried the Q8 version today, and wow — I'm shocked I can still generate it without any issues. No OOM at all, even while multitasking. Only a 2-minute difference in generation time: Q6 takes about 10 minutes, Q8 takes 12 minutes at 720p resolution.

This is impressive as hell. Didn't expect my setup to handle Q8 this smoothly!

@RavirKun I'm sorry to ask but I'm thinking of buying a 3060 with 12 gb ,how many Loras do you use? What amount of cfg and that's 5 seconds video on 10 minutes?

@matsudamac It doesn't matter how many LoRAs I'm using — the speed stays the same. 1 CFG, and yeah, still 10 minutes for a 5-second clip at 720p.

Sorry, quick question — what does ffgo mean?

@darksidewalker TurboWAN is bleeding edge. Have not used it. Claims 100-200x speedups which can of course be offset with a much larger number of steps.
https://huggingface.co/TurboDiffusion

atm it does not have ComfyUI integration nor offloading/Distorch capability. So I can't use it. But in a few months it will probably be what everyone else uses.

However in the meantime this one gives slightly superior quality and speed to the Wan base models (and also, unexpectedly, works better with FFGo) so that is what I will be using for now. I'm surprised there aren't more generations listed below.

@Saxlive FFGo is a LoRA for Wan 2.2 that improves use of an initial reference image to encourage consistent characters.
https://arxiv.org/html/2511.15700v1

Pretty much it means that you are using a reference image then immediately transitioning to the actual video. And the video it makes will more closely match that than it would without the LoRA. An alternate way to making a video to using a defined start/end frame for character consistency.

@darksidewalker What would you recommend for hybrid use with a rtx 2070 8gb +16gb system ram?Turbo or this if quantized low enough?What's the best video gen ai I can use?

Should work, but I'd keep the refiner with more bits (Q8)

its working i am using q2 high with q8 fp8 low getting fast results

That's because people make real porn to show off their dick size and the fact that they get to have sex rather than make something immersive and useful that people can get off faster with. That's why there are so many side views and anything else that is not POV Missionary.

The LoRAs are all trained on that, so of course it's not going to be all the way in on the generated stuff. Maybe someone (maybe me) can get their sex dolls and make some POV Missionary stuff with full penetration to train LoRAs on.

Your best bet is to start from an image with the penis all the way in. Then if you want similar images, then either mask it being all the way in or low denoise because that's so hard.

@darksidewalker So far, the videos look good, etc. At least using the UnetLoaderGGUFDistorch2MultiGPU node for the models (when I downloaded your workflow, I changed it directly since those are the nodes I was already using, and I also added Sage and FP16 accumulation xD), I can make videos at 145 frames in 720p and 30fps with an RTX 3060, 12GB VRAM, and 64GB of RAM. Next, I have to try some of your Checkpoints for Illus, which look really good, hehehe. Thank you very much for your effort and for sharing. P.D: Sorry if my English isn't very good, I use Google Translate. xD

@darksidewalker I forgot to mention that I use Q8; I used to use other Q8, but yours look better :)

I have the same problem before, since I have to restart ComfyUI after each generation to avoid that strange noise video. Increasing virtual memory to 32GB resolved the issue.

@darksidewalker How come?

Try increasing the Windows virtual memory (pagefile). I am using 8GB VRAM + 32GB DRAM + 128GB virtual memory.

Use the UnetLoaderGGUFDisTorch2MultiGPU with cuda:0,1gb;cpu,* expert allocations. Offloading has minimal impact on video inference speed, and it can make 20 second videos on my 3060 12 GB in about 15 minutes with sage attention, although they seem to lose coherence after about 8 seconds. i.e. they take the clothes off then they morph back into place.

This also depends on your chosen resolution.

I am using 8GB VRAM + 32GB DRAM with Q8 without any problems, even with 750k pixels. maybe your pagefile is too small (mine is 70 GB+).

Oh, I didn't notice the 32GB DRAM. I still remember as recently as just a few months ago when I bought four 16 GB sticks from Temu for about $5 each after discounts and I was worried I bought too much. Now I'm starting to have to restart ComfyUI if RAM won't go below 30% use (it has huge memory leaks) and I'm starting to look at server boards instead. The high capacity RDIMM modules go for less than half as much.

32GB isn't enough. Even 64 struggles with Wan. If you have a 4 slot board, see if you can find whatever you can, even if you have to use SODIMM converters, have mixed sizes and/or use way slower RAM.

If you can use a second video card, you might be able to offload some of it there. Distorch can do multiple offload sources, and there are also some multi-GPU nodes I haven't tried.

@darksidewalker The RAM is fine. Already used memtest a long time ago. This particular machine runs in overlayroot and does not use a swap file by design, only zram. It's possible with an actual swap file it may be able to handle a larger amount of memory leaks before I need to restart ComfyUI. Nevertheless RAM use in ComfyUI builds up over time and I haven't found a node that can decrease that. The RAM-Cleanup node just freezes it. Wan (especially WanVideoWrapper) and Nunchaku are the worst culprits.

The $5 was no joke, the base cost for two 16 GB GMOG sticks a few months ago was $44, but after the claimcredit/wincredit discount most of that is refunded as store credit. You do have to remember to check it every single day for a week though. I've forgotten twice and that's cost me about $200 this year. They have EAGET sticks now you can get for a base price of about $100 now, not as good as the GMOG kind, after claimcredit you would be spending about $40.

I would not try to overclock them though. Some of the GMOG sticks I've gotten say Micron as the manufacturer, and I speculate they are probably rejects from the big brands that aren't stable under their standard timings that China gives higher timings to give them a new life.

@darksidewalker I actually chain three different VRAM cleaning nodes between KSampler and VAE Decode and it's able to prevent OOMs on the latter to some extent. Not sure which one(s) actually work.
The only reason I see to use WanVideo Sampler is if there are embeds it's unclear how to, if even possibly, use in native KSampler. That means BindWeave and to a lesser extent MAGREF. However today I've found that Wan 2.2 S2V works even better than either of those (I've also had success with the more complicated Animate though it needs a source video) so there's really no reason to use Kijai's nodes at all.

It's able to preserve the narrow waist on characters and there still isn't a good LoRA for small waists, I can chain the Petite Hourglass at 0.50 and Teen Titans (yes, really) at 0.75 but more LoRAs = more steps for convergence. I haven't had any success at all at having Wan generate supermodel waists without LoRAs, but I actually did manage to with Qwen using "Disney character proportions" in the prompt.

I would recommend the 5060Ti the 16 GB VRAM :

Ai state of art work prefers more the bigger VRAM, to load more amount of models & LoRAs faster, also sys RAM if bigger it is better,,

5070 may have better processor BUT its 12 GB VRAM will require more work from you to adjust workflows to use lower VRAM & also you may need models that can work on lower VRAM cards ... etc

As an example, if you're generating 720p video, 12GB VRAM will limit you to around 65 frames maximum, but with 16GB VRAM you can render 89 frames at 720p. I have a 12GB RTX 4070 Super, an RTX 5060ti 16GB and the best of both worlds, an RTX 5070ti :)

I'm getting the same results as you.

@darksidewalkerAfter my long-term use, I found that res-multi has fewer motion effects and the picture looks more stable, while unipc has more motion effects. In fact, your model performs extremely well, comparable to keling's closed-source model💕

describe the motion you want them to have, like when you specified adjusting hair. if you want static, you can try something like "[camera movement] the girl adjusting her hair as she stands still in a [description] pose throughout the video"

i haven't done camera orbits, so you may need to play around with wording. you can also use NAG nodes to enable negatives for things like "shaking hips" if the above doesn't help enough

I sometimes add the penis lora at 0.2 strength or better to get nicer looking male members generated out of frame. Don't forget to add the trigger word PENISLORA to your prompt:

high: https://civitai.com/models/1476909?modelVersionId=2284083
low: https://civitai.com/models/1476909?modelVersionId=2284089

credit goes to https://civitai.com/user/tazmannner379 for this lora

EDIT: I moved the safetensors files to the checkpoints folder, but I still get this error:

CLIPLoader

'NoneType' object has no attribute 'Params'

I don't know what happened, but all of my workflows that worked, even those loaded from the mp4 meta data, are now giving me this error. Definitely a "me" problem.

Thanks for the quick reply. I am using these with a Load Diffusion Model node:
Y:\ComfyUIModels\models\diffusion_models\wan\DasiwaWAN22I2V14BV8V1_tastysinLowV81.safetensors

Y:\ComfyUIModels\models\diffusion_models\wan\DasiwaWAN22I2V14BV8V1_tastysinHighV81.safetensors

and this with a Load CLIP node:

Y:\ComfyUIModels\models\text_encoders\umt5_xxl_fp8_e4m3fn_scaled.safetensors

and I am using that non-ComfyUI folder for storing/loading models.

can you post your workflow please. Want to give it a shot.

@Artaniz Here it is https://civitai.com/models/2272369?modelVersionId=2619397

@darksidewalker I have no idea, I was not able to run Q8 versions of other models until I enabled sage attention and patch torch nodes. The only reason I made the workflow is to let people know if they have 8gb VRAM and 32gb DRAM like me, they can still make very good quality NSFW videos.

I did not know about the clip vision h, gonna remove it from the workflow, thanks for the heads up!

I think you need specific SVI workflows for sci lora to work

@darksidewalker Im using the latest SwarmUI, even reinstalled it. Its very odd. The file size of the models are identical between my old models and new this one.

@darksidewalker In your lora stack you have the "wan2_2_14b_i2v_sigma_000002100_high_noise" and the "wan2_2_14b_i2v_sigma_000002100_low_noise" lora. Can't find where you got the "wan2_2_14b_i2v_sigma_000002100_low_noise"

@darksidewalker Thx. Recommendation for 12GB VRAM?

try wan2gp

@darksidewalker Brother i have one request to make can you make a workflow for wan 2.2 animate . i tried lot of them but not work perfectly.

@darksidewalker Hey darksidewalker, thanks for the response! It turns out that I'm able to run the Q4 and Q5 as long as I keep a simple workflow.

@matches345 Use MultiGPU and Distorch v2. Expert mode allocations cuda:0,0.5gb;cpu,* . Video is so compute heavy that you can offload almost the entire model with only a few percent performance loss. Then you can easily run Q6 in 12 GB.

...or FP8 for a 10-20% performance boost with some quality loss.

There's really no reason to run GGUF under Q6 for video models.

@darksidewalker Works perfectly, thanks!

That sounds similar to an error I was getting with VideoHelperSuite and animated previews. Try using latent2rgb instead of taesd.