File size: 2,262 Bytes
2be565f
 
 
 
 
f236955
2be565f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
---
license: apache-2.0
base_model:
- Tongyi-MAI/Z-Image-Turbo
- Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v2
- G-REPA/Self-Attention-W2048-3B-Res256-VAEFLUX-Repa0.5-Depth8-Dinov2-B_100000
tags:
- AIO
- ZIT
- Zimage
- Qwen3
- gabliterated
---


This is the initial alpha release of a new AIO checkpoint, intended to take Z Image Turbo to new places... 

Announcing JoZiMagic - an AIO checkpoint using ZImage Turbo with a different clip encoder and VAE that should change up the results you get... for the better.

It's an AIO checkpoint consisting of:
* Normal bf16 release of Z Image Turbo
* 'better' Clip Encoder by replacing the stock Qwen3 4b encoder with a "Josiefied Gabliterated" version (hereafter known as Josie)
** in testing, this encoder produced *very* different but consistent (and often *superior*) results given the same seed/prompt/etc. as the stock encoder clip model.
* 'different' VAE than the stock flux VAE, currently the G-REPA/Self-Attention-W2048-3B-Res256-VAEFLUX-Repa0.5-Depth8-Dinov2-B_100000 VAE
** This might later be replaced with a different VAE, such as Anzhc/Z-Image_Anime_VAE, depending on what seems to perform best...

Yes, you can put these together yourself from the parts... and it's a big checkpoint (33gb) so putting together some quantized versions is a good idea... but you gotta start somewhere.
By making this an AIO, it encourages people to try it out.  And it lays out a name for this combo of things...  

Load using the normal 'load checkpoint' node in ComfyUI, and add the usual nodes:   Text Encoder for the prompt, a Sampler, a VAE Decode of the Latents and Save Image.

I recommend using the Zimage Text Encoder nodes current found inside https://github.com/fblissjr/ComfyUI-QwenImageWanBridge as those encoders give you MUCH more control over what is sent to Josie.

I'll add some sample images and workflow in a bit...

Thank you to the team behind Z Image Turbo: TongyiLab
Thank you to Gökdeniz Gülmez for the J.O.S.I.E project, which retrains a variety of models to behave differently.
Thank you to the G-Repa folks for the VAE
And a huge Thank You to the people on the Banodoco discord, including Kijai, Pom, and all of the other regulars there in the wan and zimage channels.