![图片[1]-3ds Max迎来AI升级！MoHeTools智能工具箱插件发布，支持AI 3D建模、文生图、图生图、效果图生成，全面提升室内设计效率](https://www.mohe-sc.com/wp-content/uploads/2026/08/3ds-Max迎来AI升级！MoHeTools智能工具箱插件发布，支持AI-3D建模、文生图、图生图、效果图生成，全面提升室内设计效率-1024x576.jpg)
过去十几年，3ds Max 一直是室内设计、建筑可视化以及效果图制作领域的重要工具。但随着项目复杂度不断提升，设计师也逐渐发现，传统3D设计流程正在面临越来越明显的效率瓶颈。一个完整的室内设计项目，从前期方案推敲，到模型搭建、材质调整、灯光测试，再到最终渲染输出，需要投入大量时间。而在实际工作中，很多时间并不是花在创意设计上，而是消耗在重复性的操作流程中，例如整理模型资源、调整场景参数、修改材质细节以及不断测试不同效果方案。
与此同时，AI技术正在快速改变设计行业的工作方式。近年来，AI绘图、AI图生图、AI建模以及智能渲染技术不断成熟，设计师已经可以利用AI快速探索空间方案、生成视觉参考、优化效果表现。但目前大多数AI工具仍然独立于3ds Max之外，设计师需要在多个软件之间反复切换，AI能力与传统3D工作流之间依然存在明显割裂。
在这样的背景下，MoHeTools智能工具箱插件应运而生。它尝试将AI能力融入3ds Max设计流程，通过整合 AI 3D建模、文生图、图生图、AI效果图生成、场景管理、模型整理以及渲染优化 等功能，让设计师能够在熟悉的3ds Max环境中完成更加智能化的创作流程。从传统建模渲染，到AI辅助设计，MoHeTools正在探索一种新的3D设计工作方式，让3ds Max不仅是一个制作工具，更成为连接AI创意与专业设计生产力的平台。
这个3DMAX插件最开始是本站群里一个小盆友分享给小编练手，随手绿化的，一直在同事、朋友之间流传使用，没有分享出来大范围使用，不过这个原始插件也无从考究了，小编最近编写《MoHe深度定制 Krea2 + Boogu WebUI v2.0 重磅发布！专为 AI 室内设计师打造，一键切换定制工作流，彻底告别 ComfyUI 复杂节点，一键生图！》，模型占用大量存储空间，清理电脑，发现了这个插件，发现和目前市面上主流的3DMAX插件界面完全不同，并且功能也不同，所以小编顺手在原界面和功能基础上，修改了界面和功能，增加了对接本站后台AI的AI生图，AI建模、AI全景、模型加解密，脚本加解密……等功能。
目前这个插件依旧采用本站会员邀请制获取内测资格，可以通过评论，或者私聊管理员，积极互动，根据本站会员活跃度（群，发帖，回帖，热度，点赞…….）邀请50位会员获取内测资格，没有获取内测资格的请积极互动，耐心等待，内测使用一段时间，稳定后再考虑要不要分享给各位盆友们使用。
注：之前没有活跃度（活跃度很低）的各位，想要获取试用资格的，邀请十位用户注册，或者自己开通VIP用户组，可以不受活跃度限制，不过试用期间，需要积极活跃，否则，试用过后，插件使用活跃度*积分消耗政策，一样用不了！
![图片[2]-3ds Max迎来AI升级！MoHeTools智能工具箱插件发布，支持AI 3D建模、文生图、图生图、效果图生成，全面提升室内设计效率](https://pic.turnfish.top/images/2026/08/07/3ds-MaxAIMoHeToolsAI-3D-0.jpg)
有需要生成720°全景视频插件的，又没获取内测资格的盆友们可以下载《720° Panorama Download Tool – 室内设计师720°全景视频批量生成及平台全景下载利器》独立软件，功能更强大，不仅包含720°全景视频生成功能，还包含全景在线版，和720°全景视频/图片下载功能！
MoHeTools是什么？
MoHeTools是一款面向3ds Max设计师打造的智能工具箱插件。不同于传统3ds Max辅助插件，MoHeTools不仅提供场景管理、模型整理、渲染优化等基础工具，同时进一步融合AI能力，让设计师可以通过人工智能辅助完成更多创作任务。通过插件化工作流程，用户无需频繁切换不同软件，即可在3ds Max环境中完成：
| 功能方向 | 应用场景 |
|---|---|
| AI 3D建模 | 根据设计需求辅助生成3D模型资源 |
| AI文生图 | 根据文字描述生成设计灵感图、概念效果 |
| AI图生图 | 基于参考图片进行风格转换和方案优化 |
| AI效果图生成 | 快速生成室内空间视觉方案 |
| AI脚本混淆加密 | 高效稳定的脚本加密工具，提供普通混淆/专业混淆功能 |
| 场景管理 | 整理大型3ds Max项目文件 |
| 模型整理 | 优化模型资源，提高项目管理效率 |
| 渲染优化 | 简化渲染前准备流程 |
过去3ds Max负责建模和渲染，AI负责生成图片，两套工作流彼此独立；MoHeTools尝试把它们连接起来。
零、MoHeTools_Setup 安装程序
刚开始小编写这个插件，以为下载 → 解压到3dmax的插件目录[ X:\Program Files\Autodesk\3ds Max 2024\scripts ]步骤很简单，对本站的各位盆友不是什么难事，所以没有写安装程序但是半个月过去了，我还是高估很多盆友，一直私信问我如何安装，索性周末就写个安装程序，一键安装，不需要复杂的步骤，按照下面截图，一步一步操作就可以了：
- No.1、下载并解压安装程序，你会看到一个MoHeTools_Setup.exe的程序，双击它；
- No.2、欢迎界面，自动识别当前环境，国内显示中文，国外显示英文；
![图片[3]-3ds Max迎来AI升级！MoHeTools智能工具箱插件发布，支持AI 3D建模、文生图、图生图、效果图生成，全面提升室内设计效率](https://pic.turnfish.top/images/2026/08/18/3ds-MaxAIMoHeToolsAI-3D_MoHeTools_Setup-0.jpg)
- No.3、选择你需要插件安装的3dmax目录，一般不需要调整，下拉框可以选择你需要按照的3dmax版本，点击右下角的[Install]即可开始安装；
![图片[4]-3ds Max迎来AI升级！MoHeTools智能工具箱插件发布，支持AI 3D建模、文生图、图生图、效果图生成，全面提升室内设计效率](https://pic.turnfish.top/images/2026/08/18/3ds-MaxAIMoHeToolsAI-3D_MoHeTools_Setup-1.jpg)
- No.4、插件开始自动释放所必须的素材文件和必要的3ds Max启动脚本文件；
![图片[5]-3ds Max迎来AI升级！MoHeTools智能工具箱插件发布，支持AI 3D建模、文生图、图生图、效果图生成，全面提升室内设计效率](https://pic.turnfish.top/images/2026/08/18/3ds-MaxAIMoHeToolsAI-3D_MoHeTools_Setup-2.jpg)
- No.4、插件自动安装完成，所有安装信息可见，重启3ds Max插件会自动加载，安装完成。
![图片[6]-3ds Max迎来AI升级！MoHeTools智能工具箱插件发布，支持AI 3D建模、文生图、图生图、效果图生成，全面提升室内设计效率](https://pic.turnfish.top/images/2026/08/18/3ds-MaxAIMoHeToolsAI-3D_MoHeTools_Setup-3.jpg)
一、AI 3D建模：从“手动创建”走向AI辅助
传统建模最大的特点就是精细，但同时也需要投入大量时间，尤其是家具、装饰品以及一些辅助模型，如果全部从零开始制作，设计师很容易把大量时间消耗在基础建模上，MoHeTools加入AI 3D建模能力后，可以通过文字描述或者参考图辅助模型生成，为设计师提供更加快速的模型创建方式，对于室内设计来说，这种方式尤其适合用于：
| 应用方向 | AI辅助作用 |
|---|---|
| 家具设计 | 快速探索不同家具造型 |
| 装饰模型 | 辅助生成装饰类模型方案 |
| 空间设计 | 为场景快速补充模型资源 |
| 概念设计 | 快速验证3D设计方向 |
| 方案推演 | 减少从零开始建模的时间 |
需要强调的是，AI生成模型更适合作为设计辅助工具，最终用于商业项目时，仍然需要设计师根据项目要求进行检查和调整。
二、文生图：设计灵感不再需要反复寻找
室内设计前期最重要的工作之一，就是确定设计方向，过去设计师可能需要在大量网站、案例库和图片平台中寻找参考，再根据这些素材确定空间风格，现在则可以通过AI文生图快速进行概念探索，例如设计师可以输入：
现代轻奢客厅，大面积落地窗，米色沙发，天然石材背景墙，暖色灯光，简约高级的室内空间。
AI便可以快速生成视觉参考，这类功能对于前期方案沟通尤其有价值，设计师可以先用AI探索不同方向，再将确定后的方案进一步落地到3ds Max场景中。
有需要使用 AI室内效果图文生图插件，又没获取内测资格的设计师朋友，可以下载《Max AI v1.0.0 For 3ds Max 2020 ~ 2027 MAX内置一键AI设计生图插件，一键生成超写实效果图，AI创意分析，AI图生图 + AI文生图，室内效果图秒出神器，效率直接起飞！》。
这款插件直接内置于 3ds Max 工作环境中，无需频繁切换软件，即可实现 AI文生图、AI图生图、AI创意分析、超写实效果图生成 等功能。相比传统建模、调材质、反复测试渲染流程，Max AI可以快速辅助设计师完成空间方案探索、效果预览和设计优化，大幅提升室内设计出图效率。
无论是家装效果图、工装空间设计，还是商业展示方案，都可以通过 AI 快速生成高质量视觉效果，让3ds Max设计流程真正进入 AI辅助创作时代。
三、AI 图生图：让参考图真正参与设计
相比单纯依靠文字生成图片，AI图生图对于室内设计行业的实际应用价值更加明显，设计师只需要上传一张已有空间参考图，AI即可根据原始画面进行二次创作，对空间的风格、材质、色彩、软装搭配以及整体视觉效果进行调整，例如，一个普通空间参考图，可以快速转换为不同设计方向：
| 原始参考 | AI优化方向 | 生成效果 |
|---|---|---|
| 空间参考图 | 风格转换 | 现代简约、轻奢、新中式等不同设计方案 |
| 原始材质 | 材质优化 | 木饰面、大理石、金属等不同质感表现 |
| 普通效果 | 光影增强 | 更真实的商业级效果图表现 |
| 初步方案 | 多方案探索 | 快速生成多个设计方向 |
四、AI效果图生成：让方案验证更加快速
传统效果图制作通常需要经历：建模 → 材质 → 灯光 → 相机 → 渲染 → 后期，任何一个环节需要调整，都可能重新进入渲染流程，而MoHeTools加入AI效果图生成能力后，可以让设计师在正式制作之前，先快速验证空间的整体视觉效果，例如一个客厅方案，可以快速测试：
| 不同墙面材质 | 不同家具搭配 |
| 不同灯光氛围 | 不同色彩方案 |
| 不同空间风格 |
这并不是要完全取代传统3D渲染，而是让AI成为前期方案探索和效果优化工具，最终需要高精度、可控的商业效果图时，仍然可以回到3ds Max原有的专业制作流程。
五、AI 高效稳定的3dsmax Script脚本混淆工具
![图片[7]-3ds Max迎来AI升级！MoHeTools智能工具箱插件发布，支持AI 3D建模、文生图、图生图、效果图生成，全面提升室内设计效率](https://pic.turnfish.top/images/2026/08/13/3ds-MaxAIMoHeToolsAI-3D-1.jpg)
在 3ds Max 插件和工具开发过程中，MAXScript 脚本的源码保护一直是开发者比较关注的问题。尤其是一些包含核心功能、商业逻辑和授权机制的脚本，如果直接以明文形式发布，源码很容易被查看和修改。针对这一问题，这款 3ds Max Script 脚本混淆工具提供了更加直观的脚本保护方式，可以在 3ds Max 内直接完成脚本的混淆、加密与解密管理。
工具已经集成到 MoHeTools 面板中，并提供独立的“脚本加密”功能区域。用户可以将需要保护的 MAXScript 代码导入工具，通过脚本混淆、加密等方式处理后再进行发布，同时保留原有脚本的运行逻辑。对于商业插件、内部工具以及需要进行源码保护的 3ds Max Script 项目，可以减少源码直接暴露带来的风险。
整个操作界面采用中文设计，功能入口比较集中，并提供运行脚本、复制脚本、混淆脚本、反混淆、加密脚本、解密脚本等相关操作。结合授权码验证机制，还可以进一步用于商业脚本的发布与授权管理，让开发者在完成脚本功能开发之后，对源码保护、插件发布和商业授权进行更加完整的管理。
下面是本插件的普通混淆和专业混淆代码，有兴趣的可以拿去玩玩：
普通混淆：
-- MoHeObfuscatedV2
(
fn MoHe_DecMsg bytes =
(
local out = ""
if bytes == undefined do return out
local _xk = mod ((bytes.count * 7) + 11) 256
if _xk == 0 do _xk = 90
local i = 1
while i <= bytes.count do (
local b1 = bit.xor bytes[i] _xk
if b1 == undefined do b1 = 0
local b2 = 0
local b3 = 0
local b4 = 0
if i + 1 <= bytes.count do b2 = bit.xor bytes[i+1] _xk
if i + 2 <= bytes.count do b3 = bit.xor bytes[i+2] _xk
if i + 3 <= bytes.count do b4 = bit.xor bytes[i+3] _xk
local c = 0
if b1 < 128 then (
c = b1
i += 1
) else if b1 < 224 then (
c = ((bit.and b1 31) * 64) + (bit.and b2 63)
i += 2
) else if b1 < 240 then (
c = ((bit.and b1 15) * 4096) + ((bit.and b2 63) * 64) + (bit.and b3 63)
i += 3
) else (
c = ((bit.and b1 7) * 262144) + ((bit.and b2 63) * 4096) + ((bit.and b3 63) * 64) + (bit.and b4 63)
i += 4
)
try ( out += bit.intAsChar c ) catch ( out += "?" )
)
out
)
local _p = 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"
local _a = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"
local _b64 = substring _p 10 -1
local _b = #()
try (
local _raw = (dotNetClass "System.Convert").FromBase64String _b64
for _k = 1 to _raw.count do (
append _b (bit.xor _raw[_k] 0x5A)
)
) catch()
local _tmp = (getdir #temp) + "\MoHe_run_" + (timestamp() as string) + ".ms"
local _wok = false
local _werr = undefined
try (
local _fsw = (dotNetClass "System.IO.File").OpenWrite _tmp
for _k = 1 to _b.count do _fsw.WriteByte _b[_k]
_fsw.Close()
) catch ( _werr = try ( getCurrentException() ) catch((MoHe_DecMsg #(185,195,245,184,192,250,182,203,198,183,240,240))) )
if _werr != undefined do (
try (
local _efs = openFile ((getdir #temp) + "/MoHe_wrapper_error.log") mode:"a"
if _efs != undefined do ( format "%\
%\
" (timestamp() as string) (_werr as string) to:_efs; close _efs )
) catch()
)
local _fi = try ( dotNetObject "System.IO.FileInfo" _tmp ) catch(undefined)
if _fi != undefined and _fi.Length == _b.count do _wok = true
if not _wok then (
local _fs = try ( openFile _tmp mode:"wb" ) catch(undefined)
if _fs != undefined do (
for _k = 1 to _b.count do writeByte _fs _b[_k]
close _fs
local _fi2 = try ( dotNetObject "System.IO.FileInfo" _tmp ) catch(undefined)
if _fi2 != undefined and _fi2.Length == _b.count do _wok = true
)
)
if _wok then (
local _before = #()
try ( for _w in (windows.getChildrenHWND 0) do append _before _w[1] ) catch()
local _err = undefined
try ( fileIn _tmp ) catch ( _err = try ( getCurrentException() ) catch("unknown") )
local _ok = (_err == undefined)
if not _ok then (
try (
local _txt = (dotNetClass "System.Text.Encoding").UTF8.GetString ((dotNetClass "System.IO.File").ReadAllBytes _tmp)
execute _txt
_ok = true
) catch ( _err = (try ( getCurrentException() ) catch("unknown")) )
)
if not _ok then (
try ( displayTempPrompt ((MoHe_DecMsg #(46,127,127,46,127,78,32,76,82,46,84,100,32,119,88,32,105,68,45,108,121,32,124,109,39,116,82)) + (_err as string)) 8000 ) catch()
) else (
try (
local _after = windows.getChildrenHWND 0
if _after != undefined do (
for _w in _after do (
if findItem _before _w[1] == 0 and (matchPattern (_w[4] as string) pattern:"*MAXScriptDialog*") do (
try ( windows.sendMessage _w[1] 0x0006 1 0 ) catch()
try ( windows.sendMessage _w[1] 0x0018 1 0 ) catch()
)
)
)
) catch()
try ( displayTempPrompt (MoHe_DecMsg #(85,4,4,85,4,53,91,55,41,85,47,31,91,12,35,91,18,63,86,29,63,85,59,35)) 3000 ) catch()
)
) else (
try ( displayTempPrompt ((MoHe_DecMsg #(46,127,127,46,127,78,32,76,82,46,84,100,45,78,81,45,77,109,45,108,121,32,124,109,39,116,82)) + (if _werr != undefined then (_werr as string) else (MoHe_DecMsg #(85,37,52,87,8,5,90,38,12,86,9,21,85,19,18,90,25,63,86,23,2,91,7,22)))) 8000 ) catch()
)
try ( deleteFile _tmp ) catch()
)专业混淆：
-- MoHeObfuscatedV3
(
fn MoHe_DecMsg bytes =
(
local out = ""
if bytes == undefined do return out
local _xk = mod ((bytes.count * 7) + 11) 256
if _xk == 0 do _xk = 90
local i = 1
while i <= bytes.count do (
local b1 = bit.xor bytes[i] _xk
if b1 == undefined do b1 = 0
local b2 = 0
local b3 = 0
local b4 = 0
if i + 1 <= bytes.count do b2 = bit.xor bytes[i+1] _xk
if i + 2 <= bytes.count do b3 = bit.xor bytes[i+2] _xk
if i + 3 <= bytes.count do b4 = bit.xor bytes[i+3] _xk
local c = 0
if b1 < 128 then (
c = b1
i += 1
) else if b1 < 224 then (
c = ((bit.and b1 31) * 64) + (bit.and b2 63)
i += 2
) else if b1 < 240 then (
c = ((bit.and b1 15) * 4096) + ((bit.and b2 63) * 64) + (bit.and b3 63)
i += 3
) else (
c = ((bit.and b1 7) * 262144) + ((bit.and b2 63) * 4096) + ((bit.and b3 63) * 64) + (bit.and b4 63)
i += 4
)
try ( out += bit.intAsChar c ) catch ( out += "?" )
)
out
)
fn MoHe_DecMsgAes _kb b64 =
(
local _iv = #(82,137,44,197,11,233,251,61,199,10,64,129,241,5,88,96)
try (
local _ct = (dotNetClass "System.Convert").FromBase64String b64
local _aes = dotNetObject "System.Security.Cryptography.RijndaelManaged"
_aes.Key = _kb
_aes.IV = _iv
_aes.Mode = (dotNetClass "System.Security.Cryptography.CipherMode").CBC
_aes.Padding = (dotNetClass "System.Security.Cryptography.PaddingMode").PKCS7
local _decr = _aes.CreateDecryptor()
local _pt = _decr.TransformFinalBlock _ct 0 _ct.count
_decr.Dispose()
_aes.Dispose()
(dotNetClass "System.Text.Encoding").UTF8.GetString _pt
) catch( "" )
)
local _p = "MoHeEnc2;AAAAAAAAAAAAAAAAAAAAAA==;AAAAAAAAAAAAAAAAAAAAAA==;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;9V8e7lzes+w6tSjODzA6b5LBm5MIGhSGEHpBXe0XVaU="
fn MoHe_ProKeyDlg =
(
local _f = dotNetObject "System.Windows.Forms.Form"
_f.Text = (MoHe_DecMsg #(140,174,137,164,225,37,121,82,37,121,91,39,118,118,39,118,71,39,79,73,39,92,66,38,97,64))
_f.Size = dotNetObject "System.Drawing.Size" 360 150
_f.StartPosition = (dotNetClass "System.Windows.Forms.FormStartPosition").CenterScreen
_f.FormBorderStyle = (dotNetClass "System.Windows.Forms.FormBorderStyle").FixedDialog
_f.MaximizeBox = false
_f.MinimizeBox = false
local _l = dotNetObject "System.Windows.Forms.Label"
_l.Text = (MoHe_DecMsg #(239,168,176,239,185,148,226,130,162,225,137,143,225,154,132,224,167,134,232,187,143,226,141,152,239,132,186,224,167,134,232,187,142,232,187,157))
_l.Location = dotNetObject "System.Drawing.Point" 14 14
_l.AutoSize = true
local _t = dotNetObject "System.Windows.Forms.TextBox"
_t.Location = dotNetObject "System.Drawing.Point" 14 40
_t.Size = dotNetObject "System.Drawing.Size" 320 24
_t.UseSystemPasswordChar = true
local _ok = dotNetObject "System.Windows.Forms.Button"
_ok.Text = (MoHe_DecMsg #(210,148,155,208,155,175))
_ok.Location = dotNetObject "System.Drawing.Point" 90 82
_ok.Size = dotNetObject "System.Drawing.Size" 80 28
_ok.DialogResult = (dotNetClass "System.Windows.Forms.DialogResult").OK
local _no = dotNetObject "System.Windows.Forms.Button"
_no.Text = (MoHe_DecMsg #(208,186,163,211,131,189))
_no.Location = dotNetObject "System.Drawing.Point" 190 82
_no.Size = dotNetObject "System.Drawing.Size" 80 28
_no.DialogResult = (dotNetClass "System.Windows.Forms.DialogResult").Cancel
_f.Controls.Add _l
_f.Controls.Add _t
_f.Controls.Add _ok
_f.Controls.Add _no
_f.AcceptButton = _ok
_f.CancelButton = _no
local _r = _f.ShowDialog()
local _k = ""
if _r == (dotNetClass "System.Windows.Forms.DialogResult").OK do _k = _t.Text
_f.Dispose()
_k
)
fn MoHe_ProConcat arrs =
(
local _total = 0
for _a in arrs do _total += _a.count
local _out = #()
for _a in arrs do for _v in _a do append _out _v
_out
)
local _parts = filterString _p ";"
local _cvt = dotNetClass "System.Convert"
local _salt = _cvt.FromBase64String _parts[2]
local _iv = _cvt.FromBase64String _parts[3]
local _ct = _cvt.FromBase64String _parts[4]
local _mac = _cvt.FromBase64String _parts[5]
global MoHe_ProKey2
if MoHe_ProKey2 == undefined or MoHe_ProKey2 == "" do MoHe_ProKey2 = MoHe_ProKeyDlg()
if MoHe_ProKey2 == undefined or MoHe_ProKey2 == "" then (
try ( displayTempPrompt (MoHe_DecMsg #(20,110,88,26,76,97,23,119,87,20,124,122,20,111,113,21,82,115,29,78,126,20,101,82,20,65,103,26,77,98,26,83,126)) 6000 ) catch()
) else (
local _key = undefined
try (
local _enc2 = (dotNetClass "System.Text.Encoding").UTF8
local _kb = _enc2.GetBytes MoHe_ProKey2
local _d = dotNetObject "System.Security.Cryptography.SHA256Managed"
_key = _d.ComputeHash (MoHe_ProConcat #(_kb, _salt))
_d.Dispose()
) catch()
local _ok = false
local _pt = undefined
if _key != undefined do (
try (
local _h = dotNetObject "System.Security.Cryptography.SHA256Managed"
local _m = _h.ComputeHash (MoHe_ProConcat #(_key, _iv, _ct))
_h.Dispose()
if _m != undefined and _m.count == _mac.count do (
local _same = true
for _i = 1 to _m.count do if _m[_i] != _mac[_i] do _same = false
_ok = _same
)
) catch()
)
if not _ok then (
try ( MoHe_ProKey2 = "" ) catch()
try ( displayTempPrompt (MoHe_DecMsg #(189,213,211,189,198,216,188,251,218,178,207,194,179,244,244,180,231,215,189,204,251,189,232,206,179,228,203,179,250,215,191,227,200,191,227,193,189,236,236,189,236,221,179,223,193,189,199,247)) 6000 ) catch()
) else (
try (
local _aes = dotNetObject "System.Security.Cryptography.RijndaelManaged"
_aes.Key = _key
_aes.IV = _iv
_aes.Mode = (dotNetClass "System.Security.Cryptography.CipherMode").CBC
_aes.Padding = (dotNetClass "System.Security.Cryptography.PaddingMode").PKCS7
local _decr = _aes.CreateDecryptor()
_pt = _decr.TransformFinalBlock _ct 0 _ct.count
_decr.Dispose()
_aes.Dispose()
) catch()
)
if _pt != undefined then (
local _txt = undefined
try ( _txt = (dotNetClass "System.Text.Encoding").UTF8.GetString _pt ) catch()
if _txt != undefined then (
local _err = undefined
try ( execute _txt ) catch ( _err = try ( getCurrentException() ) catch("unknown") )
if _err != undefined then (
local _tmp = (getdir #temp) + "\MoHe_pro_run_" + (timestamp() as string) + ".ms"
local _wok = false
try (
local _fsw = (dotNetClass "System.IO.File").OpenWrite _tmp
for _k = 1 to _pt.count do _fsw.WriteByte _pt[_k]
_fsw.Close()
) catch()
local _fi = try ( dotNetObject "System.IO.FileInfo" _tmp ) catch(undefined)
if _fi != undefined and _fi.Length == _pt.count do _wok = true
if _wok then (
local _err2 = undefined
try ( fileIn _tmp ) catch ( _err2 = try ( getCurrentException() ) catch("unknown") )
if _err2 != undefined do ( try ( displayTempPrompt (((MoHe_DecMsgAes _key "Mt2y7G5wD7Ghg5ds/IP6j35Ga8cUoVQCsmlNphHiQ+htOYh0WrRlsyEDNSmvc5za")) + (_err2 as string)) 8000 ) catch() )
) else (
try ( displayTempPrompt (((MoHe_DecMsgAes _key "Mt2y7G5wD7Ghg5ds/IP6j35Ga8cUoVQCsmlNphHiQ+htOYh0WrRlsyEDNSmvc5za")) + (_err as string)) 8000 ) catch()
)
try ( deleteFile _tmp ) catch()
) else (
try ( displayTempPrompt ((MoHe_DecMsgAes _key "Mt2y7G5wD7Ghg5ds/IP6j9lmcILJa3h4w3K0z6aXFTk=")) 3000 ) catch()
)
)
) else (
try ( displayTempPrompt ((MoHe_DecMsgAes _key "Mt2y7G5wD7Ghg5ds/IP6jz7fe5GN3jIu/XfoxIJLdz8=")) 6000 ) catch()
)
)
)
专业混淆的代码，欢迎本站有能力的各位盆友可以反混淆解密玩玩，把解密出来的明文私发我，有彩蛋惊喜！
不只有AI，MoHeTools还是一套完整的3ds Max工具箱
如果MoHeTools只有AI生图功能，那么它与普通AI绘图工具并没有太大区别，真正值得关注的是，它同时保留了一套完整的3ds Max辅助工具体系，从界面分类来看，主要包括：
| 功能模块 | 主要用途 |
|---|---|
| 场景 | 场景管理及相关操作 |
| 建模 | 辅助日常建模工作 |
| 图形 | 图形相关工具 |
| 编辑 | 常用编辑操作 |
| 灯光 | 灯光相关辅助功能 |
| 材质 | 材质处理与管理 |
| 相机 | 相机及构图相关操作 |
| 工具 | 常用实用工具集合 |
这种设计的好处在于，设计师不需要为了使用AI功能放弃原来的3ds Max工作方式，AI负责提高创作效率，工具箱负责解决日常操作，两者结合之后，才真正形成完整的设计工作流。
纯中文界面设计，上手门槛更低
对于国内3ds Max用户来说，插件界面是否直观也非常重要，MoHeTools采用中文界面，并通过侧边面板将功能模块进行分类，从截图来看，用户可以直接在面板中切换不同功能，同时支持主工具栏切换、快捷键设置以及素材激活等操作，整体思路并不是让设计师学习一套全新的软件，而是：
继续使用熟悉的3ds Max，只是在原有工作流中加入更多AI能力。
这对于已经拥有多年3ds Max使用习惯的设计师来说，会更加容易接受。
MoHeTools能为室内设计带来什么？
如果把整个流程重新梳理，可以看到AI加入之后，室内设计的工作方式正在发生变化。
过去可能是：客户需求 → 手动找参考 → 建模 → 材质 → 灯光 → 渲染 → 修改
而AI辅助之后，可以变成：客户需求 → AI生成设计方向 → AI图生图 → 确定方案 → 3ds Max建模 → AI辅助效果图 → 专业渲染
其中最大的变化并不是“AI替设计师完成全部工作”，而是让设计师能够在正式投入大量制作成本之前，快速验证更多方案。
哪些用户更适合使用MoHeTools？
| 用户群体 | 适用场景 |
|---|---|
| 室内设计师 | AI方案探索、空间效果图、材质与风格参考 |
| 效果图设计师 | AI辅助效果图生成和方案迭代 |
| 建筑设计师 | 建筑概念设计与视觉方案探索 |
| 3D建模师 | AI辅助模型创建和日常模型处理 |
| 设计工作室 | 建立标准化AI+3ds Max工作流程 |
| AI设计爱好者 | 学习AI与传统3D软件结合的创作方式 |
3ds Max + AI，会成为下一代设计工作流吗？
从AI绘图发展到AI视频，再到如今逐渐进入3D设计领域，一个趋势已经越来越明显：AI正在从“生成内容”转向“参与工作”。对于室内设计师而言，真正有价值的并不是单独生成一张漂亮图片，而是让AI参与整个设计流程，从最开始的灵感探索，到模型生成，再到图生图、效果图验证，最后进入传统3ds Max精细制作，AI可以成为设计师工作流中的一个重要环节，MoHeTools所做的事情，本质上就是尝试把这些能力连接起来。
免费下载：
3ds Max迎来AI升级！MoHeTools智能工具箱插件发布，支持AI 3D建模、文生图、图生图、效果图生成，全面提升室内设计效率
密码: MoHe
总结：MoHeTools让3ds Max从传统工具走向AI设计工作流
3ds Max依然拥有强大的建模、材质、灯光和渲染能力，但AI的加入，让传统3D设计拥有了更多可能，MoHeTools智能工具箱将AI 3D建模、文生图、图生图、效果图生成与场景、建模、灯光、材质、相机等工具结合起来，让设计师能够在熟悉的3ds Max环境中完成更多工作。
对于室内设计行业来说，这种变化真正值得关注的地方，并不是“AI能不能替代设计师”，而是：设计师能不能利用AI，把原本需要几个小时完成的方案探索，压缩到几十分钟甚至更短。当AI开始进入3ds Max这样的专业设计软件之后，传统的“建模—渲染—修改”流程也正在逐渐向AI辅助设计、快速迭代和智能化工作流转变。
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