CyberRealistic Z-Image Turbo

( Not my Model )


 <a href="https://civitai.com/models/2218365/cyberrealistic-z-image-turbo?modelVersionId=3029823" rel="noopener noreferrer nofollow" target="_blank">
 https://civitai.com/models/2218365/cyberrealistic-z-image-turbo?modelVersionId=3029823
 </a>



<h2>
 About this version
</h2>

 This version is not meant to replace V5.0, which is still a perfectly solid checkpoint. V6.0 simply takes a slightly more natural direction, with toned-down color intensity and a more realistic overall look, plus a few training improvements under the hood.




 
 CyberRealistic Z-Image Turbo
 
 is a build based on the original Z-Image Turbo. It follows the original Z-Image Turbo settings and philosophy, with minimal intervention, exploring how well this setup translates into the CyberRealistic workflow.

v6.0

( Not my Model )


 <a href="https://civitai.com/models/2218365/cyberrealistic-z-image-turbo?modelVersionId=2950117" rel="noopener noreferrer nofollow" target="_blank">
 https://civitai.com/models/2218365/cyberrealistic-z-image-turbo?modelVersionId=2950117
 </a>



<h2>
 About this version
</h2>

 Join The Tinkerer on
 <a href="https://whop.com/joined/cyberdelia-ai-lab/products/the-tinkerer/" rel="ugc" target="_blank">
 Whop
 </a>
 to download this model and many more — all for one monthly payment. Plus, get early releases, private tools
 
 and
 
 a lot more.
 
 👉
 <a href="https://whop.com/joined/cyberdelia-ai-lab/products/the-tinkerer/" rel="ugc" target="_blank">
 Join on Whop
 </a>


 V5 refines what V4.0 started. Better details, sharper colours, more consistent output, and stronger NSFW content across the board.


 This release adds 110+ new sample images, covering a wider range of styles and scenarios. All images were generated with the
 
 Cyber Z-Image Turbo Workflow v4.1
 
 , available in the Optional Files section.

v5.0

( Not my Model )


 <a href="https://civitai.com/models/2218365?modelVersionId=2817366" rel="noopener noreferrer nofollow" target="_blank">
 https://civitai.com/models/2218365?modelVersionId=2817366
 </a>



<h2>
 About this version
</h2>

 This update brings further refinements across the board - better details and colours, improved consistency, and enhanced NSFW content.


 This release comes with
 
 +100 new sample images
 
 added to the already extensive V3.0 gallery, covering an even wider range of styles and scenarios.




 
 CyberRealistic Z-Image Turbo
 
 is a build based on the original Z-Image Turbo. It follows the original Z-Image Turbo settings and philosophy, with minimal intervention, exploring how well this setup translates into the CyberRealistic workflow.


 All sample images were generated using
 <a href="https://github.com/Haoming02/sd-webui-forge-classic/tree/neo" rel="ugc" target="_blank">
 
 Stable Diffusion WebUI Forge – Neo
 
 .
 </a>

<hr/>
<h3>
 
 What this is
 
 not
 
 
</h3>

 ❌ Not a polished CyberRealistic mainline release
 
 ❌ Don’t expect miracles
 
 ❌ It won’t turn weak ideas into masterpieces
 
 ❌ It won’t solve world hunger
 
 ❌ It won’t bring world peace
 
 ❌ It will not end wars, climate change, or Monday mornings
 
 ❌ It won’t make coffee or do your taxes
 
 ❌ It is not sentient, aware, or secretly judging your prompts

<h3>
 
 So… what
 
 is
 
 this then?
 
</h3>

 ✅ A fun experimental build
 
 ✅ Fast, responsive, and interesting to play with
 
 ✅ Meant for experimentation, comparison, and curiosity
 
 ✅ Shared to learn from real-world usage and feedback



<h3>
 
 Required Additional Files
 
</h3>

 Make sure you also have the following:
 
 16 GB+ VRAM:
 <a href="https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors?download=true" rel="ugc" target="_blank">
 qwen3_4b.safetensors
 </a>
 
 8–12 GB VRAM:
 <a href="https://huggingface.co/cyberdelia/FluxTextEnc_VAE/resolve/main/qwen3_4b_fp8_scaled.safetensors?download=true" rel="ugc" target="_blank">
 qwen3
 
 4b
 
 fp8_scaled.safetensors
 </a>
 
 All VRAM sizes VAE:
 <a href="https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors?download=true" rel="ugc" target="_blank">
 ae.safetensors
 </a>



<hr/>

 This model is shared
 
 as-is
 
 , for users who enjoy experimenting, benchmarking, and pushing models outside the comfort zone.


 Feedback, findings, and edge cases are welcome - this release exists primarily to
 
 learn from real-world usage
 
 .

v4.0

( Not my Model )


 <a href="https://civitai.com/models/2218365?modelVersionId=2780276" rel="noopener noreferrer nofollow" target="_blank">
 https://civitai.com/models/2218365?modelVersionId=2780276
 </a>




 
 CyberRealistic Z-Image Turbo
 
 is an
 
 early experimental build
 
 based on the original
 
 Z-Image Turbo
 
 .


 This release should be seen as a
 
 technical experiment
 
 , not a finished or fully tuned model. It follows the
 
 original Z-Image Turbo settings and philosophy
 
 , with minimal intervention, to explore how well this setup translates into the CyberRealistic workflow.


 All sample images were generated using
 <a href="https://github.com/Haoming02/sd-webui-forge-classic/tree/neo" rel="ugc" target="_blank">
 
 Stable Diffusion WebUI Forge – Neo
 
 .
 </a>
 
 
 Big thanks to
 
 <a href="https://huggingface.co/ostris" rel="ugc" target="_blank">
 
 Ostris
 
 </a>
 
 for the amazing work - without him, we wouldn’t have been able to do much with this yet.
 

<hr/>

 
 I created
 
 <a href="https://chatgpt.com/g/g-6943ce5995a48191ba5d530ade13971d-the-z-image-promptsmith" rel="ugc" target="_blank">
 
 
 Z-Image Promptsmith
 
 
 </a>
 
 a precision image-prompting system built for creators who want consistent, production-ready prompts - not trial-and-error tag soup.
 

<hr/>

 
 What this is
 
 not
 
 


 ❌ Not a polished CyberRealistic mainline release
 
 ❌ Don’t expect miracles
 
 ❌ It won’t turn weak ideas into masterpieces
 
 ❌ It won’t solve world hunger
 
 ❌ It won’t bring world peace
 
 ❌ It will not end wars, climate change, or Monday mornings
 
 ❌ It won’t make coffee or do your taxes
 
 ❌ It is not sentient, aware, or secretly judging your prompts


 
 So… what
 
 is
 
 this then?
 


 ✅ A fun experimental build
 
 ✅ Fast, responsive, and interesting to play with
 
 ✅ Meant for experimentation, comparison, and curiosity
 
 ✅ Shared to learn from real-world usage and feedback

v3.0

( Not my Model )


 <a href="https://civitai.com/models/2218365?modelVersionId=2741096" rel="noopener noreferrer nofollow" target="_blank">
 https://civitai.com/models/2218365?modelVersionId=2741096
 </a>




 
 CyberRealistic Z-Image Turbo
 
 is an
 
 early experimental build
 
 based on the original
 
 Z-Image Turbo
 
 .


 This release should be seen as a
 
 technical experiment
 
 , not a finished or fully tuned model. It follows the
 
 original Z-Image Turbo settings and philosophy
 
 , with minimal intervention, to explore how well this setup translates into the CyberRealistic workflow.


 All sample images were generated using
 <a href="https://github.com/Haoming02/sd-webui-forge-classic/tree/neo" rel="ugc" target="_blank">
 
 Stable Diffusion WebUI Forge – Neo
 
 .
 </a>
 
 
 Big thanks to
 
 <a href="https://huggingface.co/ostris" rel="ugc" target="_blank">
 
 Ostris
 
 </a>
 
 for the amazing work - without him, we wouldn’t have been able to do much with this yet.
 

<hr/>

 
 I created
 
 <a href="https://chatgpt.com/g/g-6943ce5995a48191ba5d530ade13971d-the-z-image-promptsmith" rel="ugc" target="_blank">
 
 
 Z-Image Promptsmith
 
 
 </a>
 
 a precision image-prompting system built for creators who want consistent, production-ready prompts - not trial-and-error tag soup.
 

<hr/>

 
 What this is
 
 not
 
 


 ❌ Not a polished CyberRealistic mainline release
 
 ❌ Don’t expect miracles
 
 ❌ It won’t turn weak ideas into masterpieces
 
 ❌ It won’t solve world hunger
 
 ❌ It won’t bring world peace
 
 ❌ It will not end wars, climate change, or Monday mornings
 
 ❌ It won’t make coffee or do your taxes
 
 ❌ It is not sentient, aware, or secretly judging your prompts


 
 So… what
 
 is
 
 this then?
 


 ✅ A fun experimental build
 
 ✅ Fast, responsive, and interesting to play with
 
 ✅ Meant for experimentation, comparison, and curiosity
 
 ✅ Shared to learn from real-world usage and feedback




 ⚙️
 
 Personal Settings (Forge Neo)
 

<pre><code>Sampler: DPM++ 2s a RF
Schedule: Beta
Sampling steps: 14 Steps
CFG: 1
Shift: 6</code></pre>

 
 Required Additional Files
 


 Make sure you also have the following:
 
 16 GB+ VRAM:
 <a href="https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors?download=true" rel="ugc" target="_blank">
 qwen3_4b.safetensors
 </a>
 
 8–12 GB VRAM:
 <a href="https://huggingface.co/cyberdelia/FluxTextEnc_VAE/resolve/main/qwen3_4b_fp8_scaled.safetensors?download=true" rel="ugc" target="_blank">
 qwen3
 
 4b
 
 fp8_scaled.safetensors
 </a>
 
 All VRAM sizes VAE:
 <a href="https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors?download=true" rel="ugc" target="_blank">
 ae.safetensors
 </a>



<hr/>

 This model is shared
 
 as-is
 
 , for users who enjoy experimenting, benchmarking, and pushing models outside the comfort zone.


 Feedback, findings, and edge cases are welcome - this release exists primarily to
 
 learn from real-world usage
 
 .

v2.0

( Not my Model )


 <a href="https://civitai.com/models/2218365?modelVersionId=2547120" rel="noopener noreferrer nofollow" target="_blank">
 https://civitai.com/models/2218365?modelVersionId=2547120
 </a>




 
 CyberRealistic Z-Image Turbo
 
 is an
 
 early experimental build
 
 based on the original
 
 Z-Image Turbo
 
 .


 This release should be seen as a
 
 technical experiment
 
 , not a finished or fully tuned model. It follows the
 
 original Z-Image Turbo settings and philosophy
 
 , with minimal intervention, to explore how well this setup translates into the CyberRealistic workflow.


 All sample images were generated using
 <a href="https://github.com/Haoming02/sd-webui-forge-classic/tree/neo" rel="ugc" target="_blank">
 
 Stable Diffusion WebUI Forge – Neo
 
 .
 </a>
 
 
 Big thanks to
 
 <a href="https://huggingface.co/ostris" rel="ugc" target="_blank">
 
 Ostris
 
 </a>
 
 for the amazing work - without him, we wouldn’t have been able to do much with this yet.
 

<hr/>

 
 I created
 
 <a href="https://chatgpt.com/g/g-6943ce5995a48191ba5d530ade13971d-the-z-image-promptsmith" rel="ugc" target="_blank">
 
 
 Z-Image Promptsmith
 
 
 </a>
 
 a precision image-prompting system built for creators who want consistent, production-ready prompts - not trial-and-error tag soup.
 

<hr/>

 
 What this is
 
 not
 
 


 ❌ Not a polished CyberRealistic mainline release
 
 ❌ Don’t expect miracles
 
 ❌ It won’t turn weak ideas into masterpieces
 
 ❌ It won’t solve world hunger
 
 ❌ It won’t bring world peace
 
 ❌ It will not end wars, climate change, or Monday mornings
 
 ❌ It won’t make coffee or do your taxes
 
 ❌ It is not sentient, aware, or secretly judging your prompts


 
 So… what
 
 is
 
 this then?
 


 ✅ A fun experimental build
 
 ✅ Fast, responsive, and interesting to play with
 
 ✅ Meant for experimentation, comparison, and curiosity
 
 ✅ Shared to learn from real-world usage and feedback




 ⚙️
 
 Personal Settings (Forge Neo)
 

<pre><code>Sampler: DPM++ 2s a RF
Schedule: Beta
Sampling steps: 14 Steps
CFG: 1
Shift: 6</code></pre>

 
 Required Additional Files
 


 Make sure you also have the following:
 
 16 GB+ VRAM:
 <a href="https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors?download=true" rel="ugc" target="_blank">
 qwen3_4b.safetensors
 </a>
 
 8–12 GB VRAM:
 <a href="https://huggingface.co/cyberdelia/FluxTextEnc_VAE/resolve/main/qwen3_4b_fp8_scaled.safetensors?download=true" rel="ugc" target="_blank">
 qwen3
 
 4b
 
 fp8_scaled.safetensors
 </a>
 
 All VRAM sizes VAE:
 <a href="https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors?download=true" rel="ugc" target="_blank">
 ae.safetensors
 </a>



<hr/>

 This model is shared
 
 as-is
 
 , for users who enjoy experimenting, benchmarking, and pushing models outside the comfort zone.


 Feedback, findings, and edge cases are welcome - this release exists primarily to
 
 learn from real-world usage
 
 .