Updated: Jun 12, 2026
base modelDownload
2 variants available
bf16 SafeTensor
gonzalomoZPopInsta_v10.safetensors
BF16, good balance • 11.46 GB
Verified: 4 months ago
SafeTensor
4,9330 1 2 3 4 5 6 7 8 9,0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
(398)
Mar 17, 2026
ZImageTurbo
This is actually an offshoot of ZPop v1.0 that I modified to create more Instagram-style images. I've been using it for a while and figured I would publish it in case anyone else could have a use for it. I'm just using a simple workflow that does some extra SDXL refining on certain body parts. You can use the workflow embedded in this image, https://civitai.com/images/124482587.
Tip: I like to prefix my prompts for this model with candid analog amateur jpg.
The Ultralytics bbox files can be found here.
The models used to create this version are ZPop v1.0, Realistic Snapshot, IF-Zimage, and a number of my own private loras based on datasets created with my MoP Mix Big ASP 2.5 and MoP Mix EpicRealism.
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14.5K0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
11.3K0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
291.8K0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K

License:
Apache 2.0NOTE: Civit has made the download UI confusing. For the v4.0 model, it contains four versions:
BF16 UNET (11GB)
FP8 UNET (6GB)
Q6 GGUF UNET (5GB)
FP8 Checkpoint (16GB)
I uploaded them very descriptively but Civit has stripped away the descriptions so it's now confusing to see what you're downloading. The FP8 checkpoint is an all-in-one version that contains the VAE and Text Encoder. For the UNETs you need to provide those extra models.
I've used 100s of curated images to help add some better color, contrast and detail to the Z-Image Turbo model. It's not a huge difference yet, but it is noticeably better in side by side tests. I'm starting out a bit conservative because I don't want to mess up any of the great compositional features that Z-Image offers.
Use the workflow embedded in the showcase images for the model version to get the best results. Check the About this version section for links to the workflow and recommended settings. Z-Image currently mangles nipples and genitalia so my workflow uses SDXL detailers to refine just those aspects of the image.
P.S. I would appreciate any constructive feedback on how to make this model better.


