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Moody Wild Mix

Updated: Mar 24, 2026

base model

Verified:

SafeTensor

Type

Checkpoint Merge

Stats

2,417

0

Reviews

Published

Mar 19, 2026

Base Model

ZImageBase

Hash

AutoV2
BF453D8256

License:

I just made a new Telegram Group, drop in for chats, questions, feedbacks or just to share your work. I will be sharing prompts and pics there as CIVITAI has been removing my work repeatedly. 要词加群。

喜欢我的作品吗?给我买杯咖啡吧!Like my work? Buy me a Coffee!: Ko-fi.com/catlover1937


WARNING: USING UNDISTILLED BASE MODEL ALONE IS NOT RECOMMENDED, UNLESS YOU KNOW WHAT YOU ARE DOING, INSTEAD USE ZIB + ZIT workflow

注意:不建议直接使用未蒸馏50步模型,除非你知道你自己需要什么, 未蒸馏模型需配合ZIB + ZIT workflow


2026-03-19

GGUF versions provided by @CH11442 , please show your thanks to him directly!

New ZIB + ZIT workflow V4 available!


2026-03-18

Moody Wild V2 – Release Notes

Alright, I gotta start by saying this: Zimage is ridiculously hard to train.
Maybe it’s my slow hardware, maybe it’s just the nature of Zimage itself, or maybe I’m just slowly losing my patience 😅.

For the past week I’ve been trying to push out a fine-tune that’s actually better than V1, but I kept running into weird overtraining issues when trying to improve character quality. Random things like:

  • glowing hair bleeding onto female chests

  • random ugly goosebumps on skin

  • greasy-looking hair

  • weirdly distorted nipples

  • and other cursed artifacts

At some point I honestly thought about just giving up on this version. But Moody Wild has always been my experimental playground, where I try out the newest ideas and training tweaks. So I decided to keep pushing and see what happens.

So please bear with me if this release isn’t perfect. That’s kind of the spirit of this model.

Hopefully V2 brings:

✨ Better looking characters
✨ Fewer malformed poses
✨ Slightly more stable generations overall

Sorry for the rambling — but I hope this version ends up being a step forward from V1.

As always, feedback helps a lot. Enjoy experimenting with it!

先说一句实话:Zimage 真的太难训练了。
可能是因为我的硬件太慢,也可能是 Zimage 本身的特性,或者也可能只是我自己的耐心正在慢慢被磨没了 😅 但无论如何,试错成本实在是太高了,重练一次就至少一天一夜

过去这一周我一直在尝试做出一个比 V1 更好的微调版本,但训练过程中一直出现各种奇怪的过拟合问题。本来是想把角色画得更好看,结果却不断出现一些奇怪的情况,比如:

  • 头发发光,甚至“溢出”到女性胸口

  • 皮肤上出现随机又很丑的鸡皮疙瘩

  • 头发看起来油腻腻的

  • 乳头形状诡异甚至畸形

  • 以及其他各种奇怪的训练伪影

老实说,有一段时间我真的想直接放弃这个版本了。
不过 Moody Wild 一直都是我的实验模型,很多新的训练思路和尝试我都会先在这个模型上测试。所以最后还是决定继续折腾下去看看能不能有所改进。

所以如果这个版本没有达到大家的预期,还请多包涵,这本来就是一个偏实验性质的模型。

希望 V2 相比 V1 能带来:

✨ 更好看的角色表现
✨ 更少的畸形姿势
✨ 整体生成稳定性稍微提升一些

抱歉写得有点碎碎念,不过还是希望这个版本能比 V1 有所进步。

如果有任何反馈也非常欢迎告诉我,祝大家玩得开心。

有条件的小伙伴尽量选BF16版本下载

Please try to use BF16 version if your hardware allows


2026-02-22

GGUF Verions Provided by @CH11442 , please show your thanks directly @CH11442 !

WARNING: USING UNDISTILLED ALONE IS NOT RECOMMENDED, UNLESS YOU KNOW WHAT YOU ARE DOING, INSTEAD USE ZIB + ZIT workflow

注意:不建议直接使用未蒸馏50步模型,除非你知道你自己需要什么, 未蒸馏模型需配合ZIB + ZIT workflow

In V1.0, there are two versions available: Distilled and Undistilled.

The Distilled version runs similarly to turbo models, performing well at CFG 1 with around 10 steps.

The Undistilled version, on the other hand, requires a CFG of around 4 and approximately 50 steps to fully render.

Please note that the Distilled and Base (Undistilled) models will produce noticeably different artistic styles in their final results.

The Undistilled version is not intended to be used on its own, as it is not yet artistically refined (at least at this stage). This is also why most creators choose to release only the distilled version.

So why include the base version?

  1. Training purposes – It can be used for training. However, I still recommend training on the vanilla base model, since the moody version will continue evolving, and it’s not practical to retrain for every new iteration.

  2. Workflow completion – Most importantly, it completes the “Moody Ecosystem” within the ZIB + ZIT workflow, helping deliver the ultimate realistic xxx graphics.

I will provide more detailed instructions explaining why ZIB + ZIT are both needed in the workflow. Download links will also be included, so you can freely mix and match your preferred models.

V1.0 中,一共提供两个版本:Distilled(蒸馏版)Undistilled(未蒸馏版 / Base 版)

Distilled 版本 的运行方式类似 Turbo 模型,在 CFG 1,10步 的情况下即可获得良好效果。

Undistilled 版本 则需要 CFG 4 ,并且大约 50 步 才能完整出图。

需要注意的是,Distilled 与 Base(Undistilled)版本在最终生成的艺术风格上会有明显差异。

Undistilled 版本并不建议单独使用,因为它目前在艺术性上还没有完全打磨成熟(至少在现阶段如此)。这也是为什么大多数创作者通常只发布蒸馏版本。

那么,为什么还需要 Base 版本?

  1. 用于训练 —— 可以作为训练用途。不过仍然建议在原版 base 上进行训练,因为 moody 版本会持续迭代更新,你不太可能为每一个版本都重新训练。

  2. 完善工作流生态 —— 更重要的是,它可以补全 ZIB + ZIT 工作流中的「Moody 生态」,以实现最终极的写实 xxx 画面表现。

后续我会补充更详细的说明,解释为什么在工作流中需要同时使用 ZIB + ZIT。同时也会在工作流中附上下载链接,方便大家自由搭配自己喜欢的模型组合。


2026-02-17

V0.2

CFG 1.0 | 10 STEPS.

dpmpp_2m_sde | beta

Refinements over the previous version to improve stability. The next release will probably be a full release of a 5 Steps distilled model if I can get it to work out. Appology for the slow update as my rig is getting slow and dated.

在上一版本的基础上进行了优化和调整,以提升稳定性。
如果一切顺利,下一次发布应该会是一个包含一个 5 步蒸馏模型的完整版本。

很抱歉更新比较慢,因为我的设备已经有些老旧吃力了,运行速度也比较慢了。


2026-02-11

V0.1

CFG 1.0 | 8 - 12 STEPS.

dpmpp_2m_sde | beta

A very immature experimental Zimage Distilled model focuses on drawing ultra realistic uncensored scenes.

PS. I may or may not continue developing this model based on user feedbacks.

這是一個非常不成熟的實驗性 Zimage Distilled 模型,專注於繪製超逼真的解锁場景。

附註:我可能會也可能不會繼續開發這個模型,這取決於使用者的回饋。