💠💀 DaSiWa-WAN 2.2 I2V 14B | TrueVision | Safetensors 💠💀
This is a WAN 2.2 Model: You will need one pair of High + Low.
Version overview: https://civarchive.com/articles/23495/dasiwa-model-versions-and-timeline
This are my 💠 TrueVision - Series.
This is meant to be a checkpoint that is not altered by technologies or merges that reduce quality by any means.
Only enhancements are made that are tested by me to be stable and enhance visual quality and add features like NSFW.
This naturally excludes most or all distillation and sampling speed-up enhancements.
Do not expect this to be much faster as basic WAN 2.2 iteration speeds.
🔮 Key Features:
🔥 LoRA-Free Generations
Generate high-quality videos without stacking Wan 2.2 LoRAs (unless you want adding spacial styles/concepts).💎 Pure Quality: 20-30 step generation
💫 Quality motions
🔞 NSFW and SFW + Extreme versatile (more build in concepts):
Enhanced anatomy + poses + framing
Better understanding of sexual concepts
🪄 Better prompt responsiveness
👘 Better understanding of anime/manga style composition
🪡 FP8+ (FP16 base) precision
💠 Highest alternate LoRA compatibility
🚫 Speed-Up LoRA's excluded (use as you like)
🚫 CLIP excluded (lower size, choose your preference)
🧩 Mix and match with alternate technologies
🍒Workflow
Make sure to checkout my easy to use Workflows!
🍄LoRA's
Try first without additional LoRAs!
But: This checkpoint is not meant to replace all LoRAs, it is meant to:
Perform better overall at his own
As easy as possible to use
With LoRAs to be absolutely awesome
⚠️ Read the corresponding announcements.
📢 Make sure to check it out for in-depth information and a complex comparison!
🆕 New to WAN 2.2 I2V? - Check out my guide.
🛠️ Recommended Settings
Steps: 20-30
CFG: 3.5
Sampler/Scheduler: Euler/Simple, UniPC_BH2/Simple
Resolution up to 720p (native quality).
Add other LoRAs with 0.3 - 0.6 at first
16 or 24 fps, 81 or 97 frames ~ 5s
Dependencies
🩻 Known issues
🫦 This Synth is adorable!
Tell me 🫵🫢
🩺 Fixes & Feedback
If you use LoRAs, try to respect the LoRA training triggers and try some versatile descriptions, most LoRAs will work with 0.3-0.6 (start with 0.3)
Raise LoRAs in little steps +0.1
Do not mass add LoRAs, just add 1 or 2 (x2 High+Low)
Negative prompting do not work with cfg 1, that's a limitation of speed-ups with cfg 1 (except you use NAG)
Low resolution (e.g.384x576) are for fast samples and will blur fine details, do a higher resolution if you want clear details
🪧❗ Test your comfyui-backend with this absolute basic test-workflow before asking about errors.
🖤 Why I Made This
I was tired of using all these massive list of LoRAs, just to get a remotely good result after 10 generations, consuming hours of time. Also was not satisfied with the results other checkpoints can achieve across the board.
So I can just make my videos with 1 or 2 concept LoRAs without pushing 6 till 10 LoRAs (Low/High) into a generation.
This checkpoint is also my personal playground.
Closing words
🤩 I want to thank all the fantastic other creators who made super nice LoRAs and concepts to play with! Support that awesome creators by using their LoRAs and post to their gallery and share the meta-data!
⚠️ I made all this with permissions or open-source resources (the time it is incorporated).
I share as much insights as I can without compromising my work. I'm doing this for fun as my hobby and just do not want my hobby to be destroyed.
More details can be obtained in the corresponding announcements!
If you would like to contribute in my awesome (😉) checkpoint or willing to share resources I'll gladly give credit! Just contact me!
✅ All credits / resources are mentioned inside the announcements! - Since different versions may have different resources.
YOU are responsible for outputs as always! If you make ToS violating content and I get aware I WILL report this.
Disclaimer
This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.
Custom License Addendum: Distribution Restriction
Notice: Notwithstanding the base license selected for this model, the following restrictive terms apply:
No Redistribution: You are not permitted to host, mirror, or redistribute this model (checkpoint, LoRA, or Safetensors files) on any other platform, website, or service (including but not limited to Hugging Face, Tensor.art, or SeaArt) without explicit written permission from the creator.
Attribution & Source: This model is officially maintained only on Civitai or other platforms where I explicitly own the repository. To ensure users receive the correct version, updates, and safety metadata, please point users to the original URL.
Usage: All other rights regarding the use of the model for image generation remain as per the terms and the restrictions provided per model.
Description
see high description
FAQ
Comments (37)
This is fantastic! I’ve been struggling because all the new checkpoints have integrated "distilled LoRAs," forcing me to rely on low-step models on my new hardware—but today must be my lucky day, as I just stumbled upon this model post! 😆😆 Negative prompts are finally useful again!! Huge thanks to the creator!
Finally the wait is over!
I don't know why but, I'm getting blurry result with the main DasiwaWAN22I2V14BTruevision_boundbiteHighV10.safetensors and DasiwaWAN22I2V14BTruevision_boundbiteLowV10.safetensors. I made sure everything was in the right folder, downloaded your latest WF and updated comfyui to be sure. Works great with the GGUF but not the main model :(
@yannberg240398 This is without distillation, you need the correct settings for cfg, steps, ...
You maybe confuse this with the lightspeed version.
@darksidewalker oh thanks I will try that, i always used 4 steps and cfg 1 with the synth seduction model and didn't hae this issue. EDIT: Ah yeah I see, I was using the lightspeed model like you said. nevermind, the error was between the keyboard and the chair. XD (Me)
@yannberg240398 SynthSeduction has also this truevision and the lightspeed, you may confuse this ;)
@darksidewalker yep you're totally right, thanks a lot! :)
quick unrelated question; what do you use for your image generation?
@yannberg240398 SwarmUi with my checkpoints :)
@darksidewalker SwarmUi is the name of the workflow?
@yannberg240398 The app is swarmui
I tried your checkpoint collection, they are all very good. Will probably start generating more images. I've been mostly using my real2anime (check it out if you'd like :D) worklfow plus a custom qwen edit workflow for my work and of course your workflow for videos :P.
Does anyone experience light flickering towards the end of the video when using 'first to last frame'? Or does anyone know why it's happening?
I have seen this myself an any wan 2.2 model, but why it is happening... I assume it is the VAE. The only thing you can do is adjusting parameters and resample till it is not happening.
For me it helps to get higher in seconds, using color-match or just use other seeds.
Have you updated comfyui to 18.1, check the changelog Releases · Comfy-Org/ComfyUI
I was having light shift issues, but more in the first frames, and I believe this fixed it., could help with your problem.
Well I tryed both but nothing changed.Still flickering and its really annoying... Thank you anyway.
@hellbergdk2 I noticed that this is likely to happen if the last frame is identical or almost to the first one. It is still happening with every WAN 2.2 model I tried. So it is most likely the VAE.
if you start with a single image, how do you make 10,15,20,25 second videos without the quality degrading significantly? every transition point seems to drop quality and make videos more fuzzy/blurrier
This is a fact with chaining standard WAN 2.2 videos with last frame.
Alternative is SVI 2.0
Yes, SVI 2.0 pro loras (and corresponding nodes awailable in ComfyUI manager) make miracles.
Your documentation says there are FP8+ , Q8 - Q2, NVFP4 but I only see FP8 available for download.
Fp8+ refers to fp8 mixed precision and not just fp8 simple scaled.
All are available, just look at my collection or frontpage.
@darksidewalker I see 21 models listed in your profile page but I am not seeing a separate listing for Q8. Can you tell me how to find the Q8 version?
@darksidewalker I thought the most recent model was intended to not have the accelerators. That's only available in FP8+, then, it seems.
@ss9999 I don't get what you are onto. The recent model is available as fp8, nvfp4, gguf and without distillation as only fp8 (TrueVision)
@darksidewalker i think that the user also possibly hinted to have this undistilled version with various quantizations as well. a nvfp4 of this undistilled version would be truly a gamechanger since you are the first one to offer a nvfp4 wan 2.2 merged finetune on civitai in general iirc with the latest release. it would certainly help with svi pro workflows for quick testing purposes together with quick motion speeds right out of the box.
@darksidewalker The TrueVision model is not available in Q8. That's what has been clarified.
@JouzaDouza7135 this is a huge effort and I don't think this is the proper audience for the checkpoint, since if you use high compression like nvfp4 or gguf you are not the one who should use that checkpoint, since quality suffers. The whole matter of an high quality checkpoint destroyed by compression makes no sense to me. Also even this checkpoint is only use by like 1-2k ppl, that's not much for the effort to provide all these different quantizations. Also Civitai lacks any upload API or tool making it extremely difficult to provide all this.
@ss9999 yes, because it makes no sense. See above.
@darksidewalker I'm confused. I thought it's supposed to be higher quality because it doesn't have the accelerators. So, it seems counterproductive to not use Q8, which is supposed to have higher quality than FP8. I know you said it's FP8+ but is that equivalent or better than Q8? My understanding has been that FP8 is faster than Q8 but has worse quality (particularly in terms of prompt adherence when compared to uncompressed or lower compression like BF16 or FP16). If FP8+ mitigates the drawbacks of Q8 to the point of making Q8 pointless then, also, why offer it at all — for any of the models?
@ss9999 You are for sure confusing things here.First, here is a comparison:
https://civitai.com/articles/27174/comparison-safetensors-fp8-vs-gguf-q8-q2-vs-nvfp4
If you are not familiar why some quants exists:
https://civitai.com/articles/20293/darksidewalkers-wan-22-14b-i2v-usage-guide-definitive-edition
@darksidewalker You're the first person I've seen claim that FP8 is superior to Q8 (for aesthetic quality and prompt adherence, when compared with less compression, i.e. BF16/FP16). I have also seen comparisons from various models and Q8 has always been better than FP8, at least for similarity to BF16/FP16. If this "FP8+" is better than Q8 that's great, though, since it will be faster on Blackwell in particular than Q8. But, again, if it's better I'm not sure why you're offering Q8 for any of your models. That is, unless FP8+ needs substantially more VRAM than Q8 or requires something like Blackwell or Ada. My understanding is that plain FP8 uses roughly the same amount of VRAM as Q8. Anyway, as far as me being confused, I'll be content in that confusion because I don't think this conversation is going anywhere.
@ss9999 the information many and you are referring is prior to the moment fp8 mixed precision existed. Fp8 simple scaled is worse than q8, fp8 mixed with the correct lean scheduler is superior and smaller.
Q-quants exist because not all people have an nv40 or nv50 card and than gguf comes in handy. Also gguf has the ability to offload in other ways than safetensors, what makes it good for vram poor setups.
All of this is described inside the guide.
The last point are just ppl who want to use gguf, because they are on old information like you was.
Add gguf version of this please.
Not gonna happen, there is already a gguf of my checkpoints and this yields no benefit.
you made my day. thanks