
Join The Tinkerer on Whop to download this model and many more — all for one monthly payment. Plus, get early releases, private tools and a lot more. 👉 Join on Whop
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.
⚙️ Personal Settings (Forge Neo)

or

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.
Description
Join The Tinkerer on Whop to download this model and many more — all for one monthly payment. Plus, get early releases, private tools and a lot more.
👉 Join on Whop
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.
FAQ
Comments (35)
"...After Early Access ends, downloads will be temporarily disabled." - Be nice to us users. We can still buy one copy and make it available for free.
Just wait until tomorrow V3 will be available then.
I paid 5k buzz for v3, which, honestly, was sub-par. Now you want us to pay another 5k buzz for v4, in the hopes that it doesn't suck. yea...I get training isn't free, but, I think this business model sucks.
I think 5k is perfectly reasonable for these models; it sounds to me like your prompting is an issue if you think v3 was sub-par. I strongly disagree. I think v3 is an excellent model, and I am sure that v4 will be even better. If you do not wish to pay the very low sum of 5k for these models, then perhaps I suggest you wait until it becomes available.
Does it work with character LoRAs yet?
Do any Z-Image Turbo models work with character LoRAs other than the original?
I'm also looking for a custom checkpoint that's as stable as the bf16 original ZIT, but I still haven't found it. For all custom checkpoints, the weights of the models interfere with each other with the character lora. Maybe you've found something that's just as stable?
@xFennx @Getcontact I have released https://civitai.com/models/2513307/cyberrealistic-z-image-turbo-catalyst (CyberRealistic Z-Image Turbo Catalyst) which work (better) with character LoRa's.
@Cyberdelia wow! I have a lot of random character lora and today i will test Catalyst model, thanks! If I find the optimal "sampler/scheduler" for my lora's and your Catalyst and get good images, I will definitely post them on the model's page.
@Getcontact There will be an alt version that is even better. Maybe this weekend.
@Cyberdelia I check this too, thanks!!
@Cyberdelia Where is the alt version xD
@ralphjx Catalyst version
v3 was an outstanding model, and I am excited to try out v4. Thank you so much for all your hard work. I hope you continue well into the future; you inspire us all!
I'm not sure if I should ask this, but are these models Lora mix models, or are they models where you fine-tuned the Z-image?
At the moment, it is easy to convert custom training into LoRA blocks and merge them directly into the model. This works differently compared to other models like Z-Image Base, for example.
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
New to ZIT and using forge neo, where exactly do i put these?
qwen3_4b in models/text_encoder
ae in models/VAE
If you need more help with Forge - just DM me. Always love to help and promote Forge Neo :)
I'm getting an error trying to download the Text Encoder from your HF folder (says "invalid username or password" and navigating down to the FluxTextEnc_VAE folder just returns a 404 error. Edit; Only getting this error for the FP8 text encoder, the full encoder link hosted at CivitAI works fine. (Nm, just drilled down on the full link at HF and found them both - wait, no, that says "mixed" not "scaled", so not sure if it's same thing or not).
i use the zimage vae and text encoder with it, works fine
@Cyberdelia with you on that!
I am a bit confused by this as I have read it before. Same with some checkpoints.
I run a RIG with a 4060 (12GB of VRAM) and 16GB of RAM.
Never did I run into the slightest issues using the 16GB+ VRAM (qwen3_4b and BF16 checkpoint of Miraclein, BigLove etc).
Maybe someone can explain?
Let us know when it learns to generate penises.
Don't be a .... "dick". That feature is really "hard" ;)
Not being a jerk or promoting but you can try some loras or other nsfw-aimed models st. darkbeast/pornmaster. Honestly Z-Image (turbo) removed penis at the pre-train stage thus it is even inpossible to make it learn how dick looks like without thoroughtly retraining the whole model.
@mvqsrtz where did you find these insider inofs? do you know if the normal z-image (without turbo) still has penises? (i encountered this phenomenon on all SDXL turbo checkpoints (i tried) too the turbo seems to castrated models in general i dont know why)
@pink0909 No. Z-image deformed all penises at the very beginning stage (likely in the trainning data), so all the z-image series (z-image-turbo or base) cannot generate good penis without deep modification. Probably a retrained z-image-base could fix it but I don't see that could happen very soon.
Trying to be "cocky", eh? ;)
Moody porn merge does an "OK" wiener. Not great, but decent. This model was obviously not trained on wieners.
I will have to test this out this weekend. I am currently testing v3 and its amazing. Thanks for keeping the workflow in the images. I can just drag and drop the images to get the settings in Neo and do testing.
thanks for another great model. but in v4, i see more flow_dpo effect than needed. when i use it with dpo lora at around -0.7, your model clearly shines with er-sde / simple.
Wow the complexity really shines over SDXL, Zimage is cooking.
INSANE REALISM, ABSOLUTE PEAKKK!!!
So I was trying to make the switch to ZIT from SDXL but cyberrealistic models were just too good! Imagine my surprise when I checked and found that indeed my favorite creator also made ZIT models. God damn I use your models for everything now. Pony, SDXL, ZIT. Love you man.
perfetly useful, tytyty
PRO TIP: make low res image in SDXL then upscale and refine in ZiT.
Details
Files
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fluxVae_v10.safetensors
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zImageTurbo_textEncoder.safetensors
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text_encoder-qwen_3_4b.safetensors
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qwen_3_4b-bf16.safetensors
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Z-Image_qwen_3_4b.safetensors
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qwen_3_4b (1).safetensors
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zImageTurbo_textEncoder.safetensors
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zImageTurbo_textEncoder.safetensors
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TEXT_TO_IMAGE_qwen_3_4b.safetensors
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text_encoder.safetensors
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