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๐Ÿ’€๐Ÿ’‹ DaSiWa-WAN 2.2 I2V 14B TastySin v8 | Lightspeed | GGUF ๐Ÿ’‹๐Ÿ’€

127

309

97

Early Access

Type

Checkpoint Merge

Stats

135

0

Reviews

Published

Dec 4, 2025

Base Model

Wan Video 2.2 I2V-A14B

Hash

AutoV2
5FF00D1126

License:

๐Ÿ’€๐Ÿ’‹ DaSiWa-WAN 2.2 I2V 14B TastySin | Lightspeed | GGUF ๐Ÿ’‹๐Ÿ’€

My new flagship model for WAN 2.2 I2V generation - This is the best of the best!

This is a WAN 2.2 Model: You will need one pair of High+Low, like Q8 High + Q8 Low.

Version overview: https://civitai.com/articles/23495/dasiwa-model-versions-and-timeline


๐Ÿ”ฎ Key Features:

  • ๐Ÿ”ฅ LoRA-Free Generations
    Generate high-quality videos without stacking Wan 2.2 LoRAs (unless you want adding spacial styles/concepts).

  • โ˜„๏ธFast: 4 step generation

  • ๐Ÿ’ซQuality motions (less slowdowns, no pixelated hyper-motion)

  • ๐Ÿ”ž NSFW and SFW + Extreme versatile (more build in concepts):

    • Enhanced anatomy + poses + framing

    • Better understanding of sexual concepts

  • ๐Ÿช„ Better prompt responsiveness

  • ๐Ÿ‘˜ Better understanding of anime/manga style composition

  • ๐Ÿชก Q8 (FP16) precision

  • ๐Ÿšซ Do not use any extra speed-up (low step) LoRAs, this is baked in already

โœ… Optimisations

  • ๐ŸŒŸ CFGZeroStar patch (better results and prompt adherence)

  • ๐Ÿฐ Baked Latest Distillation (r64-1022)

  • ๐Ÿ€Additional concept optimisation (compared to MidnightFlirt)

  • ๐ŸŽฌ Reward Attention (more realistic movements)

  • โœจ No or extreme low transformation of details with anime/realistic images (lips, eyes, ears, breasts, genitals, ...)

  • ๐ŸŒ  Refined motions (compared to MidnightFlirt)

  • ๐Ÿ’Œ It can guesstimate better details out of frame (compared to MidnightFlirt)

  • ๐Ÿ’ซ As close to RL motion-speeds as I could get with speed-up tech

  • ๐ŸŒEven less tries for good results (compared to MidnightFlirt)

  • ๐ŸงฉEven better compatibility with LoRAs (compared to MidnightFlirt)

  • ๐Ÿ–ผ๏ธ Usable with your preferred/custom CLIP (if compatible)

  • ๐Ÿ˜ตโ€๐Ÿ’ซAdditional reduced hallucinations (compared to MidnightFlirt)

  • ๐Ÿ’  Zero prompt results capable

  • ๐ŸšซExcluded CLIP


๐Ÿ’Workflow

Make sure to checkout my easy to use Workflows!


๐Ÿ„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


๐ŸชงAnnouncement

โš ๏ธ Read the corresponding announcement.

๐Ÿ“ข Make sure to check it out for in-depth information and a complex comparison!


๐Ÿ†• New to WAN 2.2 I2V? - Check out my guide.


  • Steps: 4

  • CFG: 1

  • 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


๐Ÿ’ซ Speed + Examples

Q8 checkpoint - On 16GB VRAM, 64GB RAM, 4 steps, cfg 1, 81 frames

  • 368p: 120 sec

  • 480p: 160 sec

  • 576p: 220 sec

  • 608p: 340 sec

  • 672p: 680 sec

  • 720p: 730 sec

  • Most examples are without any additional LoRAs

  • With LoRAs are for testing the compatibility

  • Initial anime-like example images made by me are also made with my model ๐Ÿ—ก๏ธ๐Ÿ’€ DaSiWa-Illustrious-XL ๐Ÿ’€๐Ÿ—ก๏ธ

  • Other models for realistic reasoning


๐Ÿฉป Known issues

  • ๐Ÿซฆ The most delicious sin!

  • Tell me ๐Ÿซต๐Ÿซข


Approximate expected quality from quantization

This are my tests compared to a full fp16 safetensor checkpoint taking prompt- and visual satisfaction into account on my DaSiWa checkpoints.

Quantization - Quality estimation

  • Q8 โญโญโญโญโญ ~ like FP16, excellent results

  • Q6 โญโญโญโญ ~ like FP8, very good results

  • Q5 โญโญโญ ~ good to very good results

  • Q4 โญโญ ~ medium-good results

  • Q2 โญ ~ poor results, only use if you have to

โš ๏ธ Do not compare this with the unofficial quants of my checkpoint made by others, they are based on FP8 and not FP16 like my quants.


๐Ÿฉบ 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

๐Ÿชงโ— Test your comfyui-backend with this absolute basic test-workflow before asking about errors.


๐Ÿ–ค 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.
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

๐Ÿคฉ 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!
โš ๏ธ 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 (๐Ÿ˜‰) checkpoint or willing to share resources I'll gladly give credit! Just contact me!


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.