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    Juggernaut Z - v1.0 by RunDiffusion
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    For business inquires, commercial licensing, custom models, and consultation contact me under [email protected]

    Try Juggernaut Z on RunDiffusion

    Juggernaut Z Prompt Guide

    How to Use Juggernaut Z in ComfyUI

    Use Juggernaut on HuggingFace

    Hello everyone,

    It has been almost exactly one year since the last Juggernaut version (Ragnarok). After some downtime, TongyLab and BlackForest Lab provided us with two excellent community models (Z-Image, FluxKlein) at the end of last year.

    I am presenting the first output of this here: Juggernaut Z, a fine-tune of the Z-Image base.

    The checkpoints are available in all standard formats (bf16, fp8, and various GGUF versions). If I missed a specific format you need, just let me know in the comments. Also, a quick heads-up: if you already have the Z-Image Base running on your setup, there is no need to download the Text Encoder and VAE again, you can simply reuse your existing ones

    I will keep this brief. This is version 1, so naturally, not everything is perfect yet. It will take 2-3 versions to fully integrate everything we have planned. Please be patient, as work is simultaneously underway on the Juggernaut variants for FluxKlein 4B and 9B.

    Our main focus for this first release was killing the glossy "AI plastic" look of the base model. You will notice much better micro-contrasts, actual skin pores, and physically accurate lighting. We also improved the structural logic to reduce hallucinated geometry.

    A Quick Word on Prompting: Please actually read the Prompt Guide. If you stick to the old SDXL tag-style prompting (just throwing comma-separated keywords at it), you might get a lucky shot here and there, but you will mostly run into errors and broken concepts. Juggernaut Z thrives on semantic prompting, talk to it in natural, descriptive sentences. If you are not used to this yet, I highly recommend using your favorite LLM (GPT, Gemini, Claude, etc.) to help structure your ideas into proper sentences.

    I have included a ComfyUI workflow, which should ensure problem-free generation.

    I recommend following Settings with the Workflow:

    Resolution: 960*1440 or something similiar with that Pixelsize. "Low Res like 1024*1024" will sometime looks to grainy/noisy
    First pass

    • Steps: 22

    • Denoise: 1.00

    • Sampler: Res_2s

    • Scheduler: Beta

    Second pass

    • Steps: 3

    • Denoise: 0.15

    • Sampler: Res_2s

    • Scheduler: Normal

      The foundational workflow was created by nsfwVariant. It was only minimally modified for our purposes, so credit goes to him. Please show him some support.

    Also you can find a couple of Comparison Shots in my Profile and also on the RunDiffusion Juggernaut Z Page mentioned above :)
    Any LoRA trained on the Z-Image Base is fully compatible with Juggernaut Z. At least, every single one I’ve tested so far worked flawlessly.

    Finally, have fun generating. We will be back soon with a FluxKlein fine-tune and Version 2 of Juggernaut Z.

    Description

    Checkpoint
    ZImageBase
    by KandooAI
    Download (Beta) View on CivitAI
    photorealistic
    base model
    photo
    cinematic
    characters
    photograph

    Details

    Downloads
    73
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/6/2026
    Updated
    5/7/2026
    Deleted
    -

    Files

    juggernautZ_v10ByRundiffusion_txt.safetensors

    Size:
    7.49 GB
    SHA256:
    6c671498573ac2f7a5501502ccce8d2b08ea6ca2f661c458e708f36b36edfc5a

    Mirrors

    Huggingface (119 mirrors)
    CivitAI (4 mirrors)
    Other Platforms (TensorArt, SeaArt, etc.) (4 mirrors)

    juggernautZ_v10ByRundiffusion.gguf

    Size:
    5.63 GB
    SHA256:
    04f06f3d09bf45d61836e6b828c07f9163747ec18c7a28306ad8ac25967b9340

    Mirrors

    CivitAI (1 mirrors)

    juggernautZ_v10ByRundiffusion.gguf

    Size:
    4.80 GB
    SHA256:
    c781e7be88ef7ed956094cc7ea29859585b631ae7349d71c07a285245d5a9d26

    Mirrors

    CivitAI (1 mirrors)

    juggernautZ_v10ByRundiffusion.gguf

    Size:
    4.98 GB
    SHA256:
    68d6e7cb50d02caf6dfbac5b0307d679e2876948e12d6578d864d1231a8ec1ce

    Mirrors

    CivitAI (1 mirrors)

    juggernautZ_v10ByRundiffusion.safetensors

    Size:
    11.46 GB
    SHA256:
    1eecc7c80377b0691776196f0f2f4644fc340260f9cf1a1b22192e2dc166b651

    Mirrors

    CivitAI (1 mirrors)

    juggernautZ_v10ByRundiffusion.json

    Size:
    47.32 KB
    SHA256:
    965fd57c271afa01010cb32a3d1867106b8bb40e6649a9c6f9f0540aae765e06

    Mirrors

    CivitAI (1 mirrors)

    juggernautZ_v10ByRundiffusion.gguf

    Size:
    4.50 GB
    SHA256:
    5ad674cf3dab0fcfd1384ab65746a2cc976a8c1cf1487e050926c7ece6d02c63

    Mirrors

    CivitAI (1 mirrors)

    ae.safetensors

    Size:
    319.77 MB
    SHA256:
    afc8e28272cd15db3919bacdb6918ce9c1ed22e96cb12c4d5ed0fba823529e38

    Mirrors

    Huggingface (420 mirrors)
    CivitAI (6 mirrors)
    TensorFiles (1 mirrors)
    Other Platforms (TensorArt, SeaArt, etc.) (15 mirrors)

    juggernautZ_v10ByRundiffusion.gguf

    Size:
    5.29 GB
    SHA256:
    f6a7673ff91e34da8c3d5969c630c0ae48db5dba0b48adb24198c7ab34067304

    Mirrors

    CivitAI (1 mirrors)

    juggernautZ_v10ByRundiffusion.safetensors

    Size:
    5.73 GB
    SHA256:
    27c019bbb2c9a189b20842918a3672859b7b674771eb7e6dedcf826291bd00f4

    Mirrors

    CivitAI (1 mirrors)

    juggernautZ_v10ByRundiffusion.gguf

    Size:
    6.83 GB
    SHA256:
    ad0f9e1b0f0da9455036bebc62ccc9bca93d0d681452a6576ba611cb4070bd7c

    Mirrors

    CivitAI (1 mirrors)

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.

    Tungsten
    Juggernaut Z - v1.0 by RunDiffusion