Update README.md

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+base_model:
+- G-REPA/Self-Attention-W2048-3B-Res256-VAEFLUX-Repa0.5-Depth8-Dinov2-B_100000
+- Tongyi-MAI/Z-Image-Turbo
+- Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v2
+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.
+
+