DR34ML4Y by DR34MSC4PE
This LoRA, incredibly, manages to handle ALL of our specialty LoRA concepts - Double/Single Blowjobs, Missionary, Reverse (and regular) Cowgirl, Doggy, wrapped in one model! It obeys very well and is largely extremely accurate to the given keyword/position (see samples below)! Don't be shy; give it a try! =)
===========================================================================
6/27 - v3 LTXXX update in testing...
5/12 - v2 LIVE! No fuss, no buzz!
TRAINING IS STILL ONGOING - v1 is a complete retrain of the preview run with adjustments. Fine tuning is currently underway. You may experience some concept imbalance as we make changes to the dataset. If you notice bad audio, we recommend NOT using the abliterated text encoder as it seems to cause this effect to be extremely noticeably during speech!
Please note - read the model description and understand that the trigger words STILL WORK but your surrounding prompts will need to be much more verbose in the style LTX2 requires!. Performs BEST WITHOUT DISTILLATION. The distillation lora and checkpoint actively fight the nsfw training and account for body horror. YMMV - we recommend using the full dev checkpoint with between 0.25-0.35 distill strength. Adjust steps and CFG accordingly for both passes.
EXAMPLE WORKFLOWS HERE! Shout out to RuneXX!
AS ALWAYS: Enjoy, generate responsibly and share what prompting tricks you learn along the way!
==========================================================================
Sample Prompts (best for WAN, LTX needs updates):
Note: prompts w/curly braces are dynamic prompts for use with Wildcard nodes, remove them for regular use like the other examples.
Note - Missionary and cowgirl can have some mix-up if you don't specify the woman is on her back in the prompt.
m15510n4ry, A shot of missionary sex and a detailed view of a woman's vagina and a man's erect penis which is penetrating her. The woman's skin is light and the woman having sex has natural pubic hair above her vagina. The penis is erect as it thrusts in and out of her vagina. There is a slight sheen of moisture on both the penis and the surrounding skin. The background is a fancy bedroom where she is at the edge of the white bed laying on her back and he is between her spread legs. The lighting is even highlighting the natural skin tones and textures.
bl0wj0b, A close-up view of a single {tiny|emasciated|young|18-year old|old|cheerleader|pale goth|petite|rail-thin|plump teen|fat|full-body} woman with performing a blowjob on a man's erect penis. The girl is nearly naked except for {choker|leggings|a slutty belt|crotchless panties|a microkini} barely covering her {white|black|olive|fair|tan-lined|thai} skin and {small|huge|a-cup|DDD} breasts and {glittery|pink|black|rainbow} hair. Her nails are manicured with a {glittery|pink|black|rainbow|natural} design as she grasps the base of the penis and uses it to guide it in and around her mouth as she sucks on the mans {penis and testicles|shaft and balls|erect penis|penis tip as it dribbles white-clear semen from the tip and onto her tongue and lips}
d0ubl3_bj, A close-up view of two fat girls with performing a double blowjob on a man's erect penis. The girls are nude save for slutty choker collars, the girl on the left has pale skin blonde russian slutty pigtail hair. Her nails are manicured with a glittery design as she grasps the base of the penis. The other woman has light thai tan-lined skin and skin black hair with bows and her eyes are closed. Both women are focused on the man's penis which is circumcised and erect. They both lick and run their lips along the shaft of the man's penis. One womans hand moves slightly up and down the base stroking his penis as the suck and lick and share it. The lighting is cinematic yet voyeuristic.
c0wg1rl, a {4k UHD footage|iphone video from 2000s|vintage 1970s|futuristic 8k} {pov|side-shot|top-down xxx pov|4k video} {tiny|emasciated|young|18-year old|cheerleader|pale goth|petite|rail-thin|plump teen|fat|full-body} girl with her arms behind her back and legs spread apart in the reverse cowgirl position. She has {white|black|olive|fair|tan-lined|thai} skin {small|huge|a-cup|DDD} breasts and {long straight|wet|pink|black|rainbow} hair. Her eyes are closed and she has a slight smile of {pain|mischeif|embarassment|lust|sleepiness|possesed|evil} on her face as she {opens|fixes|rolls|focuses} her eyes at the viewer. Her vagina is fully exposed and her legs are slightly bent at the knees. At the bottom of the frame a man's erect penis is thrusting into her vagina.
d0gg1e, A footage|iphone video from 2000s|vintage 1970s|futuristic 8k} {pov|side-shot|top-down xxx pov|4k video} of a {tiny|emasciated|young|18-year old|cheerleader|pale goth|petite|rail-thin|plump teen|fat|full-body} woman {bent over her bed at the waist with her stomach and chest flat on the bed|on her hands and knees|bent over presenting her pussy and anus|bent at the waist reaching toward the ground with ass up|face down, ass up}. She has {white|black|olive|fair|tan-lined|thai} skin {small|huge|a-cup|DDD} breasts and {long straight|wet|pink|black|rainbow} hair and is having her {tiny pussy|butthole|anus|vagina|puffy little vagina|hairless pussy|hairy vagina|4K pussyhole} penetrated in and out repeatedly by one man's modest sized erect penis, slowly but totally in and out as she looks back toward the camera and POV man fucking her. The background is {other young ladies gather around to gain the experience of watching her suck the penis, watching in lab coats that are open exposing their naked bodies in the background|in a church confession booth}
===========================================================================
DR34MSC4PE is
c0ur4ge (trainer/qa/inference code) /
ERA5ER (trainer/captions/tooling code/data/qa)
Be sure to check out our FLUX model - C4PACITOR!
Please generate responsibly!
Description
Thanks for your patience - training speed on these bigger models is slow going for this multi-concept LoRA so we hope you think the wait is worth it! This one may get some updates to concepts but so far, soooooo good =)
Training all of our concepts to fit into one is a tremendous undertaking so thanks to ERA5ER as always for the extra help providing some showcase images/QA. Please consider a donation and checking out his latest work linked here!
FAQ
Comments (112)
Your examples are using speed lora?
Some! I have a bunch more to post but wanted to get the release out. You don’t need them but works fine with them!
@c0ur4ge THanks, I still have to test this lora, I was curious because the examples are in slow motion and this is very common with speed lora.
@c0ur4ge what strenght do you recommand for lightning for H and L ? thanks
@stablediffusion2660 Start with 1/1 and adjust from there.
@ERA5ER @c0ur4ge You guys should check out my comment over here for another new idea for WAN 2.2 gens, it's the best thing I've tried so far, I posted a comment on this workflow: Wan 2.2 14B I2V Tests of Sampler Setting with and without speed LoRAs - v1.0 | Wan Video Workflows | Civitai
Can we please get Wan 2.2 14b T2V version as well?
Yup! It’s right after getting a DR34MJOB specific I2V 14b update done.
This Lora is next level stuff, I have been able to create some insane videos in wan2.2 with it! Thank you very much ! G0dt13r Lora
We love to hear it! Thanks - Keep DR34MIN' ;)
Thank you bro
For sure! Enjoy y’all!
Just tried this "WAN DR34ML4Y - All-In-One NSFW"... And thanks so much to its creator !
Gave me awesome results, even for my strange ideas ;-)
Do you have a good workflow that you slotted this into? Having trouble getting it working well with the default Wan2.2 I2V template.
@sleeptightchamp196 Trouble how?
@c0ur4ge I figured it out. I was an idiot and had both the high and low noise models using the Lora instead of only the high.
@sleeptightchamp196 can you share your workflow plese.
i like the lora, but one suggestion: why the use of the random "leet" spelling of the keywords - wouldnt it be easier if everyone just used common words that we could all remember? my single biggest peeve of all lora makers. it is good work though, and appreciated
They serve a purpose and if you use LoRA you’d do well to educate yourself on the concept of activation tokens. It’s important that they are distinct from other English words or phrases is the short answer. This is a basic principle of Lora usage.
@c0ur4ge I understand. Will this help generations with prompts without the trigger words for motion/NSFWfying?
@rsflipson2 Yes. That's literally their purpose is to associate a concept with a distinct token(s) value. An oldy, but a goody on the topic of Training Lora, specifically, you're looking for the activation tags is the section: https://civitai.com/articles/3105/essential-to-advanced-guide-to-training-a-lora
@c0ur4ge what other word could missionary, anal, blowjob, etc be mistaken for? just use those words. hint: theyre unique
@cfhoover845 You fundamentally misunderstand what you're talking about - please just click the link and educate yourself because you're confidently incorrect.
But if you even read what you've said, you should catch it: all of the words you just said aren't unique because they already exist and are often used to censor the model by teaching it those things are, in fact, benign concepts.
This is a fantastic lora, and works really well, but I do sometimes wish I could get just a bit more motion out of it. Sometimes the humping motions seems just a little stifled, like they're holding back lol. I tried all kinds of prompting tricks but nothing conclusively seemed to help. Any ideas? I'm using the lightning loras with it
Try it without the lightning loras on the high pass, those can definitely mess with motion.
@dixienormus935 I just tried. It's hard to say conclusively if its better or not, but in general i feel they are about the same using 4 steps on the high pass without lightning lora. Appreciate the suggestion though. I'll keep tinkering
EDIT: I tried both configurations with the same seed, and the results are almost identical, just tiny nuances that are different, but both have the same "stifled" motion, so i dont think its the high pass lora thats getting me. Perhaps this is as good as it gets and i'm just being picky 😂
@Foxbite you need to increase the number of steps for the high pass if you're not using the lightning LoRAs, try 10 steps instead. Otherwise, the issue is likely with your prompting; make sure you're highly descriptive and give a reason for your character to be acting quickly. That being said, even with ideal prompting I sometimes get output with the slowmo effect, but it's usually only about 10% of the time, then another 10% they're moving way too quickly. But 80% good results is good enough for me
Oh one other thing, how many tokens are in your prompt? You want to try and hit a sweet spot of around 256 tokens, beyond that I've had issues with attention which can definitely cause the slow motion effect. So you want to be descriptive, but not overly so.
Great model! Love it!
Super glad to hear it - keep DR34M1N' ;)
I really like this lora all around, works great, but I tend to use a lot of stylized color palettes and this lora tends to give any skin (usually the mans upper body/stomach in a POV video) a very "spray tan" orangish look when it fills in stuff and negative prompting is finicky to get rid of it. but thats a small nitpick to a very amazing lora, thank you!
Now this... is an interesting observation. It's one of the first times we've ever done anything like this (training multiple seperate concepts from our datasets, pruned but simultaneously). I'll take a pass and see if its a diversity issue in the data on our end - Thanks for the tip!
@c0ur4ge cool, interested to see what you come up with, thanks for taking a look!
Is 2.2 T2V still planned? The fact that this performs so well in T2V despite being I2V makes me really eager to try a genuine T2V version. I'm still using the 2.1 T2V version for 2.2 gens with success but the video quality suffers some graininess. Would love to have the I2V version's higher video quality with the 2.1 T2V version's effects.
This is is absolutely incredible, it blows my loras out of the water, and at only 250MB!
Would you mind sharing your training parameters? Clearly you've figured out something that I have not :)
For mine I've been training with diffusion-pipe with AdamW8bitKahan at rank 64, about 3000 steps for High and 4000 steps for low. For High, I use a learning rate of 2e-5 for the first half of training then increase to 2e-4 to finish, and for Low starting with 3e-5 and finishing with 3e-4. My datasets are typically about 20-25 videos that are 10-20 seconds long.
We have slight variances in our configs but for most of the HP we stick to the diffusion-pipe defaults (LR, BS, etc). Based on the above it’s almost certainly your dataset - those are very long videos, imo. I’d say keep them to 3-5 seconds in lock step with the fps setting (we use as much as we can get to train depending on the dataset, rank, various vram factors). Naturally, your captions have to be accurate and follow “best practices” for the TENC/LLM creating the tokens. It goes without saying the videos should be of excellent quality and various aspect ratios.
Also - it’s worth mentioning WAN 2.2 has the timestep differences between high and low and they are trained respective to each others “balance” in the inference process. If you’re not doing this, I expect your results are mega cursed.
Good luck!
@c0ur4ge Thanks for the insight! I'll give shorter clips a try. Yes I have messed up the timestep differences before and "mega cursed" sounds about right, or maybe "cronenberg horror".
It's a shame these models take so long to train on my basic bitch consumer GPU. With SDXL it's pretty easy to experiment with learning rates and datasets and such and bang out a few iterations in a day, but with Wan I can spend a week on a single model and not have anything to show for it.
Anyway incredible job on the Lora, really great stuff you've been putting out!!
Works really well. Any advice on how to slow down the motion. It seems to follow body placement well enough. But when i try slowly or at a slow pace, it never seems to work.
This has removed so much hassle of downloading variety of LORAs. This one does does what I need and does it better. Thank you for this. Looking forward to even more positions and optimizations.
You’re welcome! Please share your generations (and recommendation to others!). :)
This is the best nsfw model I have ever used. Thank you very much. It also works very well in text-to-video generation.
The results I'm getting for the 14B i2v are extremely bad. Seeing other people's posts I must be missing something but the results are generally blurry, barely any movement, and the male's genital is almost always a pure blur. I've tried 640 up to 1024 resolution. I've tried increasing sampling to 30 and 40 steps. I'm not using the lightspeed lora (that completely fails, just a grey blur entire screen)... CFG 3.5. Sampler Euler, Scheduler Simple. Strength for both low and high dream lora is 1.0. I've also tried a few (not that there are many) workflows attached to some of the videos on here with the same setup and they have the same issue when I try, but their results are clear. I've tried various real photos and 2D h photos. What am I missing? Also do you have your own workflow somewhere that I'm missing, too? Didn't find any when dragging your video example clips to Comfyui.
Try using one of the Kijai workflows perhaps? The fact that you’re getting gray screen with the other Lora speaks to this being a workflow/environmental problem, to be honest.
@c0ur4ge lightspeed lora CFG 1.0 8 steps max (4 high/4 low). 4 steps (2 high/2 low)
@c0ur4ge I haven't tried Kijai's workflow, but grey screen is only when using the light lora and your lora together. With just the light lora I don't have the issue, and with just your lora and no light lora also not having it. Your lora should work with the default workflows so it doesn't make sense that Kijai's would work. That is why I offered the extra details... and I see other people reporting similar issues. Washoping for some other suggestions like Limono mentioned. I'll try what Limono said for the lightspeed though it wont help that the results even without lightspeed aren't as clear as other people's with light artifacting and stuff regardless of even doing 1024x1024 with 40 steps. It would be ideal if you had a workflow for this, too. Surprised you didn't link one in your post. Would be a good idea to consider with optimized sampler, CFG, etc. and notes.
@kudon44 I haven’t linked a workflow because this is literally a PyTorch model that will work with any WAN 2.2 I2V workflow. The problem is almost certainly environmental- do you have a specific workflow you’re following?
I’m literally using Kijai’s workflow but I test it on the stock workflow also. What samplers are you using?
yes trust the other guys, my wan gens were also bad at first , every little setting matters!
@c0ur4ge yet ot would be great if u could share a workflow for an example it has been generated with so people like me (noobies) could get into it to figure out more
@eugskb532 im looking for that as well. im using the stock comfyui wan 2.2 models and workflow, tried just change the loras but my images are distorted and grainy, cant see anything. must be the workflow isnt correct to work with this lora
@c0ur4ge I literally told you what my parameters, including sampler, were in my original post. I've tried the comfy default workflow, Kijai's, and as mentioned some of the ones below that other users used for their results. None of it worked. I've even tried it at various strengths and CFG mixes just in case that was related since there wasn't proper info for that provided. The reason we ask for a workflow is because none of these workflows work with it at the default settings meaning there is some setting in the workflow we're not using that it specifically needs. Ex. sampler you asked about, but I already told you what one I'm using... Euler. Does it only work with specific samplers?
@kudon44 I linked one to the page under suggested resources - give it a swing by adding the respective LoRA to the lora loader that matches the WAN model (the first lora is usually the lightning one in those workflows, so if its the high variant of the lightning lora, you'd set LORA #2 to the DR34ML4Y model to correspond). Set the strength to your taste but to be clear: this lora works like literally ANY lora ever. For diffusion model or video model, as long as it is applied after the Load Model -> Load Lora -> Sampler to the correct WAN variant (and you use both models) your output will fine.
RE: samplers, if it works with WAN 2.2, it will work here. Again, this is just a pytorch LoRA. If that means nothing to you, start reading there.
@immauser blurry and distorted results are not about wrong loras. It's about wrong sampler/model settings. All of the loras which are confirmed compatible with WAN 2.2 works fine with the default comfyui template. Just play around with CFG or increase steps
I have a usage question. Is there a way to more accurately control the speed or amplitude of movements? I want to generate a slower motion. I tried adding phrases like "slow movement" in the positive prompt and "fast, large movements" in the negative prompt, but when generating videos without changing the seed, there was almost no difference. Is there a more precise way to control this? I think I’ve seen someone use a LoRA to control motion speed or amplitude, but I haven’t been able to find this type of LoRA myself.
Have you adjusted the CFG in addition to your prompt changes?
Also, ensure you're using BOTH LoRA and piped through the corresponding, correct model. Obvious, but I hear this one a ton.
@c0ur4ge Thank you for your reply. I tried adjusting the CFG, and now the control seems to have improved. In fact, I had never considered that the issue might be related to CFG before.
@c0ur4ge What is an average CFG you would recommend, I usually glide around 3.5, and if I want "more" prompt adhesion, I should raise it right? By how much?
@Simon_Belmont i use cfg3.5 will have something wrong,i just use 2
@Simon_Belmont I honestly have spent very little time experimenting with it - I'm typically using the defaults and I measure "release readiness" with the default CFGs. It really is extremely workflow dependent as well.
Comfyui keeps generating the penis as a thumb, can anyone help? I've tried everything but its either deformed or a thumb no matter the negative prompts or how i word things.
Simply the best NSFW lora!
does this lora support lesbian sex? like tribadism, etc? Asking for a friend.. 🤔
Sorry if this is common knowledge, but what is the difference between HIGH and LOW loras?
High dictates motion. Low is detail. This is why you can use Wan 2.1 character loras in the low ksampler where they make the most Impact since they directly affect detail
More practically, the HIGH model is meant for the early generation steps, the LOW is meant for the later generation steps. It's a two stage workflow just like a two stage workflow used for image generation models
I'm gonna give you the answer you are looking for: in Wan 2.2 there's two "routes" a hign and low noise. Both are used, everytime, so you need both. And you place the low noise on the low route and the high noise lora on the high noise route, as this is how wan 2.2 (NOT 2.1) works.
am I dumb? How do i download the wan2.2 model? I have wan 2.1
There's two - the high and low model. You then should find a WAN 2.2 model workflow that contains LORA. Kijai's that include the lightning lora are popular. Any workflow for WAN 2.2 I2V that supports LORA for each the high/low models themselves will work. Ensure you load the right model for the corresponding WAN 2.2 model in any workflow!
@c0ur4ge I found the Kijai model on huggingface, but dont know how to download it. With wan2.1 i was able to download as a safetensor file. Do you know how to download it from huggingface?
Also any idea where to find a workflow?
@sidlittle618947 They're all over this site, good sir!
@javbukkake wow youre an actual clown
I m getting grainy distortions - whats the best workflow ?
.
The same thing is happening to mine.
@IAmNotABot4Real Double check your pipelines and that you’re loading the right Lora for the right WAN model. Use a community workflow like the Kijai Lightning + upscaling ones found all over the site and add the correct Lora to the second slot, underneath the lightning lora in slot1 respectively. Else, these will also work in a bare stock inference example if loaded after the model and before the samplers.
It’s something on your end.
@c0ur4ge that's what I done and IT WORKS! Beautiful!!!!!! Thanks for your help!
@IAmNotABot4Real Hey, would you be up for posting that working workflow json somewhere so we can piggyback off of your success? <3
@RickDripps sorry for the late response. Where can I upload the JSON file?
@IAmNotABot4Real you can Create an Article and upload your json file. PLS
@550023981196 Okay, I will do that.
@550023981196 here is the article: https://civitai.com/articles/20342/nsfw-wan-comfyui-i2v-workflow
Will this lora work on a 2.2 5B model ?
The 5B labeled one will :)
do we have a workflow for this lora?
I made this one > https://github.com/brandschatzen1945/wan22_i2v_DR34ML4Y/blob/main/WAN_2LORAs_32FPS.json ; contains 2 wan loras (disable the one you dont want) & is quantstack & 32fps smoother video >> low ram > max effort ; origin : https://civitai.com/articles/17964/new-version-v20-of-torstens-low-vram-wan22-14b-i2v-simplified-workflow (from torsten) and adapted it.
Works spectacular!
can you share workflow please for i2v
@illumizoldyck808524 sorry, I use Wan2GP not Comfy https://github.com/deepbeepmeep/Wan2GP
@kunde2 no problem. thanks for trying to help out :)
it just works, can't wait for future iterations/concepts
Congratulations! Very well done! May I ask how you train a model like this? I never trained Lora's but this is truly inspiring. How much video material do you need? How do you train the concept and avoid training the other parts like actor faces?
Thanks!! Troll the comments a bit, we’ve went over it a few times but suffice it to say “nothing super special”. Short clips with great captions and quality + diffusion pipe settings at mostly standard.
We’re not avoiding anything; FYI. Balance the datasets with closeups but select for diversity of faces and ethnicities and ages.
You must be doing something right, because this lora is much easier to use than the other general NSFW loras on this site ;)
@c0ur4ge Thanks for the info!
T2V version for wan2.2 pls!
do any of these work for a t2v workflow?
That’s coming very soon…
Hey guys, noob here I just got into wan 2.2, I am using the basic and default work flow, it does not have an option to add lora. Can someone please share a workflow that is not too complex but has lora tab in it? thanks in advance
you don't need special option, just add the LoRA with a normal LoRA loader after the model, and before the ModelSamplingSD3...
Or, add a power lora loader and replace the existing lora loader because the power lora loader lets you load more than one.
Or use Wan2GP
any i2v workflow ?
hi, u can have a good one looking into a channel on youtuber called "jockerai" and look for a video name "WAN 2.2 10x". It is a good one workflow and work good on the rtx 3060 12vram gpu
Yeah there is and I have one
@contatocutscuts733 what am i doing wrong? im very new and added the models getting very blurry results. i followed his steps and no luck
Details
Files
DR34ML4Y_I2V_14B_LOW.safetensors
Mirrors
DR34ML4Y_I2V_14B_LOW.safetensors
w22_i2v_all-in-one_L.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_All_In_One_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
low.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW (3).safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
generallow.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
140_DR34ML4Y_14B_LOW_dec31.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
GeneralNSFW_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DREAMLAY_I2V_14B_LOW.safetensors
DR34ML4Y_All-in-One-NSFW__I2V__LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
多效果NSFWL.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
wan2.2-i2v-low-s-all-in-one.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
cc-low2.safetensors
cc2-low2-vid.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
l5.safetensors
DR34ML4Y_I2V_14B_LOW-mid_1811313-vid_2190476.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
dream_nsfw_v1_low_i2v.safetensors
NSFW用于辅助L.safetensors
多效果NSFWL.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
一体式NSFW_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
Wan22_Allg_DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
AI1_DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
test23-LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
I2V_DR34ML4Y_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
GeneralNSFW_LOW.safetensors
DR34ML4Y_All_In_One_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors
DR34ML4Y_I2V_14B_LOW.safetensors