CyberRealistic Z-Image Turbo

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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 Stable Diffusion WebUI Forge – Neo.
Big thanks to Ostris for the amazing work - without him, we wouldn’t have been able to do much with this yet.

I created Z-Image Promptsmith a precision image-prompting system built for creators who want consistent, production-ready prompts - not trial-and-error tag soup.

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)

Sampler: DPM++ 2s a RF
Schedule: Beta
Sampling steps: 14 Steps
CFG: 1
Shift: 6

Required Additional Files

Make sure you also have the following:
16 GB+ VRAM: qwen3_4b.safetensors
8–12 GB VRAM: qwen34bfp8_scaled.safetensors
All VRAM sizes VAE: ae.safetensors

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.