JoZiMagic / README.md
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adjust order of base models to put zimage turbo first
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metadata
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.