As you can see from the examples, I've managed to create one of the best, if not the best, version of ZTurbo Image.
If you describe the prompt yourself, you can get everything you want.
Please post your work using my model, so I can see where and what could be improved.
Next step of the tutorial: Furry content, if you're interested. It requires about 10,000 Buzz. I might be able to add some anthropomorphic animal characters along the way.
I believe I can maintain realism using realistic 3D renders, because extracting 256-rank data and then incorporating it into the model preserves the realistic style of the standard ZTurbo Image.
____________________________________________Brief history of changes____________________________________________
Quartus: Coming soon.
Tertium: More NSFW content, balance adjusted (anime is now anime, photos are photos, and so on)
Secundo: Improved NSFW content, improved realism.
Primum: Fixing basic anatomy and improving prompt understanding + some NSFW content.
Description
FAQ
Comments (14)
Please add Q4-8 GGUF or FP8 version!
Not all of us can run big models bf/fp16 :(
Hello, I mainly run on a 4070 laptop (8 GB), during work hours on a laptop with DDR5 48 GB, I get 2.5 s/it at a resolution of 1400x1800.
I'll try to make a pruned FP8, but if the quality suffers too much, I won't add it.
Hi, I tested the FP8 model, the anatomy suffers, the quality does not improve in any way compared to the regular ZTurbo, there is no point in releasing it, sorry.
@AKDesigns i made an open source program that makes it quick and easy to make your own GGUF's, even if you have low RAM https://github.com/qskousen/ggufy
This is great, I have a 5090 card, could you do the full 20 gig version at some point? I have 32gig Vram.
It follows instruction so well at just 11gig, I can only imagine what a full size 20 gig could do.
Nice work and thank you for making this.
Thanks for the feedback. I'll see what I can do at home on my 5080. I hope the system can handle such a large model.
Hi! I tested the full FP32 and there's absolutely no difference with the FP16, not even by 1 pixel. The noise is identical.
@Viennar, @pursuit_of_beauty You would have to train it in FP32 to get any benefit right? Otherwise it's just representing the exact same weights with more bits
@psychologicau Thank you, that makes sense.
If you have a 5090, you should learn how to train models... gg
Brilliant checkpoint. Great results, good variety and plays nice with Lora's
Thank you very much, I'm trying, there's still some anatomy to correct, I hope something else will come to light along the way.
Hi, can you share the text encoder and vae in your workflow?
Hello, VAE from the most common FLUX, encoder Qwen3_4b.