Jibs Qwen workflow uses a custom-trained Wan VAE to remove the hash/grid lines visible in Qwen outputs.
Here is the GitHub for nodes: https://github.com/spacepxl/ComfyUI-VAE-Utils?tab=readme-ov-file
and the Custom Wan/Qwen VAE model: https://huggingface.co/spacepxl/Wan2.1-VAE-upscale2x/blob/main/Wan2.1_VAE_upscale2x_imageonly_real_v1.safetensors
V6 a Qwen 2512 Version of Jib Mix Qwen.
+ Has better fine details than previous versions.
+ Less of a same face issue.
+ Less nosie artifacts.
- Not quite as good at NSFW as V5. (You can use my NSFW lora to bring it back: https://civarchive.com/models/1943554/jibs-qwen-nudity-fixer-lora)
- Not quite as fine good details as Base Qwen 2512
More European faces and fewer Asian by default.
The Pruned Model nf4 (13.91 GB) is actually a Q5_0.GGUF
V5 -More realistic, less plastic skin by default, with more imperfections.
My Skin detail/imperfections lora can be used to add more or even help remove them if used at a negative weight.
The Version 5 Q5. GGUF (marked nf4)
V4 - Much more natural pretty faces (Much better at Asian faces), less noise, cleaner (slightly less photographic look by default but adding LORAs can make that stronger again)
NEW: The fp8_e5m2 model is twice as fast as the Q5.GGUF on my 3090.
There is a Q5 .GGUF (marked nf4)
Tune for Clownshark dpmpp_3s/Bong_tangent sampler this time instead of Euler_ancestral/Linier_ Quadratic.
V3- Important I have uploaded 2 different versions of this model:
High Noise version (marked fp16) that I think is better at lower steps and single stage workflows (but can sometime show grid/scan lines).
Lower noise version (marked fp32) That makes cleaner/less noisey images on the first gen but is better suited to 2 stage Hi-res fix workflow (this is my preferred method)
There is a Q5 .GGUF (13.91 GB) that is the Higher Noise version
The Q6 .GGUF (15.6 GB) is a lower noise realistic skin version.
Small Q5 .GGUF (13.91) is a lower noise realistic skin version.
V2 - I tried to fix the big bobble heads from the previous versions. It is better but they can still be a bit big sometimes.
The V2 fp8 model listed is now actually a Q8 .GGUF (Thanks to export_tank_harmful for the conversion when mine was broken)
V1 - Adds a more photorealistic/amateur look to Qwen.
The fp8 model listed is now actually a Q6_k .GGUF
and has fewer grid lines than the fp8 (But I still recommend the fp16 with ram offloading, for better quality)
Description
Have fixed the big bobble heads in the 1.0 version.
FAQ
Comments (23)
looks amazing waiting for v2, gguf q4 or q5
v2 FP8 please!
@aih220 fp8 did work very well last time fir V1 only Qx but I will see if I can find a fix.
@J1B yeah it was just the weird banding issue in the fp8 from v1 in the beginning. I'm using Q6 now for v1 and posted a pic here.
I'm counting on you to make a good realistic model! I tried flux krea/srpo, and I can't stand the hands/text issue, it's just so much easier with Qwen. I hope your model can do a good selection of nationality though. I can run Race Loras but it shifts a bunch of things unexpectedly.
I've been testing the Checkpoint Merged v1, I wonder if it doesn't work well with other character Loras because it is made up of merged loras.
The q6 version you have to download is Jib Mix Qwen v2 or v1?
The current Q6 is kind of a 1.5 version between 1 and 2.
I will make and upload the V2 Q8/Q6/Q4 models in the next day or 2.
@J1B I'll run my most recent 2 images on the V2 when it gets here to directly compare. Since my long prompts are super detailed with less randomness.
Wow!!! Q6_k .GGUF works much better!
Where can i get a fp16 clean workflow to use the 39 GB model? Thanks in advance
There is one attached on this image: https://civitai.com/images/102435340
That I am using atm, but it is really experimental and horrible (and my published workflow aren't even that neat!)
Please do Q5, it's hard to run Q8 on my hardware with 12 gig of memory.
There is a 12GB Q4 now: https://civitai.com/api/download/models/2226001?type=Model&format=GGUF&size=pruned&fp=nf4
It woukd have been sooner but to The upload to Civitai just kept failing over and over again.
If possible - Q5 KM - very good for 12 GB VRAM
@kubilayan I support it, it's great for 12 gig Q5
@J1B Any chance for Nunchaku version int4?
bro create a hugging face repo
He has one https://huggingface.co/jibhug
Look like it's sometimes overexposed. And it's very hard to get non causasian womens from it ^^
Yes, I have noticed ethnics are not its strong point. I will see what I can do in the next version.










