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license: other
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Author: [catlover1937](https://civitai.com/user/catlover1937)
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Model: [
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-
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---
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license: other
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tags:
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+
- tool
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---
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+
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+
# Moody ZIB (Zimage Base) + ZIT (Zimage Turbo) Simple Workflow - V5.0 ZIB+ZIT - 2843180
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**Model Type**: Workflows
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**Base Model**: ZImageBase
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**Trigger Words**: None
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**Tags**: tool
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## Gallery
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<table>
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<tr>
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<td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0c47714a-50e4-476d-8d27-146a41e75928/original=true/126893838.mp4" width="200" controls muted autoplay loop></video></td>
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<td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/406229d8-342f-491a-bd15-f1f4b055766c/original=true/126891697.jpeg" width="200"></td>
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<td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/007b7954-8830-47fd-ab1e-29080c7ebd2d/original=true/126891748.jpeg" width="200"></td>
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</tr>
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<tr>
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<td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e02ac619-f2c6-44cc-822d-52cdef03b37b/original=true/126891747.jpeg" width="200"></td>
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<td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e61d1c3f-0bb0-41f1-8b2a-36579aba23b6/original=true/126891698.jpeg" width="200"></td>
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<td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/70ce446c-b885-4e61-a5a9-c7f8d53a0cf6/original=true/126891744.jpeg" width="200"></td>
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</tr>
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<tr>
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<td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6dd7f285-a683-445f-97a6-4c07d1843063/original=true/126891740.jpeg" width="200"></td>
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<td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/181891ac-a768-494a-92f5-d2c89a73040d/original=true/126891746.jpeg" width="200"></td>
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<td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ab341cba-6335-44ec-8630-69dd2bd6dc73/original=true/126891741.jpeg" width="200"></td>
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</tr>
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<tr>
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<td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6c0fbcac-5bd1-4a6b-85d1-bd7b59ef04f5/original=true/126891743.jpeg" width="200"></td>
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</tr>
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</table>
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## Description
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**I just made a new** [**Telegram Group**](https://t.me/+NIc-ia0Z_BpkYmJh) **and** [**Discord group**](https://discord.gg/kF7mPKFtRt) **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. 欢迎加入**[**纸飞机**](https://t.me/+NIc-ia0Z_BpkYmJh)**和**[**Discord**](https://discord.gg/kF7mPKFtRt)**群组。**
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喜欢我的作品吗?🎨 我会持续免费分享更多优质内容✨,欢迎支持一下,请我喝杯咖啡吧!💖
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Like my work? 🎨 I share all my work for free ✨, so support me by buying me a coffee 💖!
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**Ko-fi:** [ko-fi.com/catlover1937](http://ko-fi.com/catlover1937)
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Please do not redistribute without consent. 如非作者同意禁止搬运。
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---
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2026-04-20
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🔥 ZIB + ZIT Simple Workflow V6.0
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--------------------------------
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V6.0 is here — and this update shifts the balance in a big way.
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In this version, I’ve adjusted the workflow to be **more ZIB-dominant** instead of the previous ZIT-heavy approach. Why? Because we now have a much more sophisticated undistilled ZIB base — [**Moody Wild x EASON V3.0**](https://civitai.red/models/2384856?modelVersionId=2868056) — and it delivers absolutely insane results.
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This change brings:
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* 🎨 **Richer color tones**
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* 🧬 **Higher image diversity**
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* ✨ **More expressive and dynamic outputs**
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On top of that, this update includes:
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* ⚙️ Minor quality-of-life improvements
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* 🐛 Bug fixes
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* ⚡ Optimized generation time
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Overall, V6.0 is cleaner, faster, and pushes visual quality further while fully leveraging the strength of the ZIB base.
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Good luck and happy generating 🚀
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Your support means a lot ❤️
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🔥 ZIB + ZIT 简易工作流 V6.0
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----------------------
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V6.0 来了,这次是一次比较明显的方向调整。
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在这个版本中,我将整体工作流调成了**更偏向 ZIB 主导**,而不再像之前那样偏向 ZIT。原因很简单——现在我们有了更成熟、更强大的未蒸馏 ZIB 基底:[**Moody Wild x EASON V3.0**](https://civitai.red/models/2384856?modelVersionId=2868056),实际效果已经非常让人满意。
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这样的调整带来了:
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* 🎨 **更丰富的色彩层次**
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* 🧬 **更高的图像多样性**
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* ✨ **更有表现力和变化的画面输出**
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同时,这次更新还包含:
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* ⚙️ 一些体验优化(QoL)
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* 🐛 Bug 修复
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* ⚡ 生成速度优化
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整体来说,V6.0 更干净、更高效,也更好地发挥了 ZIB 基底的潜力。
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祝您玩得开心,出图愉快 🚀
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感谢支持 ❤️
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---
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2026-04-09
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**V5.0 ZIB+ZIT Dual Ksampler Enhanced**
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Minor updates on the newer techniques that delivery better results, also consistent with my other newer workflows.
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* [New upscaler](https://github.com/Phhofm/models/releases/4xNomos8k_atd_jpg) used for further attempt to eliminate the side effect of SD upscale
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* QoL updates as my other newer workflows
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小更新:采用了一些较新的技术,可以带来更好的效果,同时也与我其他较新的工作流程保持一致。
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* [使用了新的放大器](https://github.com/Phhofm/models/releases/4xNomos8k_atd_jpg)(SD upscaler),进一步尝试消除 SD 放大带来的副作用 (莫名的水渍,鸡皮疙瘩,油光)
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* 加入了一些使用体验上的优化(QoL),整体流程更加顺手,并与我其他较新的工作流保持一致
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---
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2026-03-19
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**V4.0 ZIB+ZIT Dual Ksampler Enhanced**
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V4 Dropped. Some optimization and QoL update for [Moody Wild V2](https://civitai.com/models/2384856?modelVersionId=2784088) better support.
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Preview images generated by [Moody Wild V2 BASE 45 STEPS undistilled](https://civitai.com/models/2384856?modelVersionId=2784088) + [Moody Porn Mix V10](https://civitai.com/models/620406/moody-porn-mix)
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V4 版本已发布。针对 Moody Wild V2 进行了一些优化和体验改进,以更好地支持 V2。
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预览图由 [Moody Wild V2 BASE 45 STEPS undistilled](https://civitai.com/models/2384856?modelVersionId=2784088) + [Moody Porn Mix V10](https://civitai.com/models/620406/moody-porn-mix) 生成。
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---
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**V3.0 ZIB+ZIT Dual Ksampler Enhanced**
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Download URLs 下载地址:
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------------------------------------------------------------
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ZIB Model / Base 模型:
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<https://civitai.com/models/2384856?modelVersionId=2714022>
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(Warning! Do not download the distilled model, look for the undistilled model)
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(注意! 不要下错成蒸馏模型了 - 要下载未蒸馏模型 undistilled version)
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------------------------------------------------------------
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Avaible ZIT Models / 可选 Turbo 模型:
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<https://civitai.com/models/620406/moody-porn-mix>
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<https://civitai.com/models/621441/moody-real-mix>
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<https://civitai.com/models/2384856/moody-wild-mix?modelVersionId=2681752>
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------------------------------------------------------------
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upscaler model / 放大模型:
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4x-ultrasharp:
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<https://openmodeldb.info/models/4x-UltraSharp>
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1xSkinContrast-SuperUltraCompact:
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<https://openmodeldb.info/models/1x-SkinContrast-SuperUltraCompact>
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Before getting into V3, here’s a quick recap of the foundation:
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The core idea behind this workflow has always been combining **Zimage Base (ZIB)** and **Zimage Turbo (ZIT)** to leverage the strengths of both models.
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**Why ZIB + ZIT?**
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* **ZIB** excels at prompt adherence, composition stability (especially at low resolution), and seed-to-seed variation. It’s ideal for locking in structure and layout early.
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* **ZIT** is significantly faster and strong at refining details, making it perfect for the finishing pass.
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* Both models share the same CLIP, VAE, and prompt ecosystem, allowing seamless switching without reloading major components.
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### Evolution So Far
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* **V1** used a two-pass KSampler setup:
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ZIB for base composition → ZIT for refinement.
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* **V2** upgraded to dual Advanced KSamplers, reducing generation time by ~33% while maintaining composition strength and prompt accuracy.
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The result is a workflow that balances:
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* Strong structure (ZIB)
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* Fast refinement (ZIT)
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* Efficient pipeline integration
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V3 builds on this foundation.
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V3 – 简要回顾 & 为什么选择 ZIB + ZIT
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---------------------------
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在介绍 V3 之前,先快速回顾一下整个工作流的核心思路。
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Before diving into V3, here’s a quick recap of the foundation behind this workflow.
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整个流程的核心一直都是将 **Zimage Base(ZIB)** 与 **Zimage Turbo(ZIT)** 结合使用,发挥两者各自的优势。
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The core idea has always been combining **Zimage Base (ZIB)** and **Zimage Turbo (ZIT)** to leverage the strengths of both models.
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---
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### 为什么 ZIB + ZIT?
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**ZIB 的优势:**
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* 更强的提示词遵循度
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* 低分辨率下更稳定的构图能力
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* 不同种子之间更高的变化多样性
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→ 非常适合在第一阶段锁定整体结构与画面布局
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**ZIT 的优势:**
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* 生成速度更快
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* 擅长细节刻画与高分辨率精修
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→ 适合在第二阶段完成细节和质感强化
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同时,ZIB 与 ZIT 共享相同的 CLIP、VAE 与提示词体系,可以无缝衔接,无需反复加载大型组件,使整个流程更加轻量、高效、统一。
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---
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### 版本演进
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**V1:**
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使用双 KSampler 两段式流程
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ZIB 负责构图 → ZIT 负责细化
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**V2:**
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升级为双 Advanced KSampler 架构
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在保持构图与提示词强度的前提下,生成时间缩短约 33%
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---
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整体思路始终围绕三点:
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* ZIB 负责结构
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* ZIT 负责速度与细节
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* 两者结合实现效率与质量的平衡
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V3 正是在这个基础上继续优化与进化。
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+
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---
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**V2.0 Dual Ksamlers**
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This is a classic dual Advanced KSampler build using ZIB + ZIT. Huge thanks to the AI artists in the group for sharing their experiments — based on that, I’ve reworked the flow to use a dual Advanced KSampler instead of the old two-pass KSampler setup.
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**The good stuff 🔥**
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* V2 cuts generation time by roughly **~33%**
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* Still hits strong prompt adherence while keeping most of ZIT’s speed
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* Image composition is still **on par with V1**
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**The trade-offs ⚖️**
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* Preview is now a noisy latent only (V1 let you see rough image details on the first pass)
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* You’ll get a bit more ZIT and slightly less ZIB detail compared to V1, but ZIB’s composition strengths are still very much there
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Also tossed in some misc fixes to clean up a few of my earlier mistakes 😅
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这是一个经典的双 Advanced KSampler 架构,使用 **ZIB + ZIT**。非常感谢群里的 AI 艺术家们分享他们的实验成果——在此基础上,我重新调整了流程,改用**双 Advanced KSampler**,取代了旧的**两次 KSampler**方案。
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**亮点 🔥**
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* V2 将生成时间缩短了大约 **33%**
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* 在保持 **ZIT** 速度优势的同时,依然具备很强的提示词贴合度
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* 图像构图效果仍然与 V1 持平
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**取舍 ⚖️**
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* 预览现在只显示**带噪的 latent**(V1 在第一遍就能看到大致的图像细节)
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* 相比 V1,**ZIT 成分稍多、ZIB 细节略少**,但 ZIB 在构图方面的优势依然非常明显
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另外还顺手修了一些杂项问题,清理了我之前的一些小失误 😅
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---
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**V1.0 2 Ksampler Passes**
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**All showcased result images are arranged as: ZIB only | ZIB + ZIT | ZIT only**.
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I’ve been experimenting with a new workflow lately. With the release of **Zimage Base (ZIB)**, it introduces several advantages that **Zimage Turbo (ZIT)** doesn’t currently offer—most notably stronger prompt adherence, better compositional stability at low resolutions, and significantly higher variation when iterating with different seeds. These strengths make ZIB especially well-suited for defining the overall structure and layout of an image early in the pipeline.
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However, until a properly optimized speed-up LoRA for ZIB is released, generation times remain relatively slow—unless you’re running on very high-end hardware. Because of that limitation, I developed a workaround:
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I first generate a **low-resolution pass using ZIB** to quickly establish the base composition. This allows for faster iteration, broader variety across seeds, and more reliable prompt interpretation. Once the foundation is set, I switch to **Zimage Turbo (ZIT)** to refine and complete the finer details at higher resolution.
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**Why ZIB instead of SDXL, Pony, or other base models?**
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You *can* absolutely use those, but the key advantage of ZIB is ecosystem consistency. ZIB and ZIT can share the same **CLIP, prompt structure, and VAE**, which means everything integrates smoothly without needing to reload or re-import large components. This keeps the workflow lightweight, efficient, and cohesive.
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The drawbacks are fairly obvious as well—ZIB cannot directly generate explicit (XXX) content. While private parts can be redrawn or enhanced during the second pass using specialized models like [Moody Porn Mix](https://civitai.com/models/620406/moody-porn-mix), poses in those scenarios are still hit-or-miss. That said, with more XXX-focused LoRAs for ZIB expected in the near future, the lack of XXX poses should be resolved shortly.
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This is an **experimental workflow**, and likely a temporary one until an official speed-up LoRA for ZIB is released—but it’s a practical and effective approach that’s absolutely worth trying in the meantime.
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---
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**所有展示的结果分为三类:仅 ZIB | ZIB + ZIT | 仅 ZIT。**
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最近我一直在尝试一种新的工作流程。随着 Zimage Omni Base(ZIB)的发布,它带来了一些 Zimage Turbo(ZIT)目前尚未具备的优势——最显著的是更强的提示词遵循度、在低分辨率下更好的构图稳定性,以及在使用不同种子迭代时显著更高的变化多样性。这些优势使 ZIB 特别适合在流程早期用来确立图像的整体结构和布局。
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然而,在针对 ZIB 发布真正优化好的加速 LoRA 之前,生成时间仍然相对较慢——除非你使用的是非常高端的硬件。正因如此,我设计了一个变通方案:
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先用 ZIB 生成一轮低分辨率图像,快速确立基础构图。这样可以实现更快的迭代、在不同种子间获得更广泛的多样性,以及更可靠的提示词理解。一旦基础构图确定,我就切换到 Zimage Turbo(ZIT),在更高分辨率下精炼并完成细节。
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为什么选择 ZIB 而不是 SDXL、Pony 或其他基础模型?
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+
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当然可以使用那些模型,但 ZIB 的核心优势在于生态系统一致性。ZIB 和 ZIT 可以共享相同的 CLIP、提示词结构和 VAE,这意味着整个流程无需反复加载或导入大型组件,就能实现无缝衔接,从而保持工作流程的轻量、高效和连贯。
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缺点也很明显——ZIB 无法直接生成显式(XXX)内容。虽然在第二轮精炼时可以使用 [Moody Porn Mix](https://civitai.com/models/620406/moody-porn-mix) 等专用模型对私密部位进行重绘或增强,但这类场景下的姿势仍然不够稳定。不过,随着未来不久将推出更多专注于 XXX 内容�� ZIB LoRA,姿势问题应该很快得到解决。
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这是一个**实验性工作流程**,很可能只是暂时的——直到官方的 ZIB 加速 LoRA 发布为止。但在目前阶段,这是一个实用且高效的方法,绝对值得一试。
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---
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| 320 |
Author: [catlover1937](https://civitai.com/user/catlover1937)
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Model: [CivitAI Model Page](https://civitai.com/models/2345999?modelVersionId=2843180)
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Archive: [CivArchive Page](https://civarchive.com/models/2345999?modelVersionId=2843180)
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