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Merge pull request #206 from Dartvauder/dev
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‎LaunchFile/app.py

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@@ -330,7 +330,8 @@ def load_translation(lang):
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translations = {
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"EN": {},
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"RU": load_translation("ru")
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"RU": load_translation("ru"),
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"ZH": load_translation("zh")
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}
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def _(text, lang="EN"):
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wiki_interface = gr.Interface(
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fn=get_wiki_content,
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inputs=[
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gr.Textbox(label=_("Online Wiki", lang), value="https://github.com/Dartvauder/NeuroSandboxWebUI/wiki/EN‐Wiki" if lang == "EN" else "https://github.com/Dartvauder/NeuroSandboxWebUI/wiki/RU‐Wiki", interactive=False),
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gr.Textbox(label=_("Local Wiki", lang), value="Wikies/WikiEN.md" if lang == "EN" else "Wikies/WikiRU.md", interactive=False)
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gr.Textbox(label=_("Online Wiki", lang), value=(
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"https://github.com/Dartvauder/NeuroSandboxWebUI/wiki/EN‐Wiki" if lang == "EN" else
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"https://github.com/Dartvauder/NeuroSandboxWebUI/wiki/ZH‐Wiki" if lang == "ZH" else
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"https://github.com/Dartvauder/NeuroSandboxWebUI/wiki/RU‐Wiki"
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), interactive=False),
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gr.Textbox(label=_("Local Wiki", lang), value=(
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"Wikies/WikiEN.md" if lang == "EN" else
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"Wikies/WikiZH.md" if lang == "ZH" else
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"Wikies/WikiRU.md"
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), interactive=False)
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],
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outputs=gr.HTML(label=_("Wiki Content", lang)),
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title=_("NeuroSandboxWebUI - Wiki", lang),
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settings_interface = gr.Interface(
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fn=settings_interface,
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inputs=[
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gr.Radio(choices=["EN", "RU"], label=_("Language", lang), value=settings['language']),
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gr.Radio(choices=["EN", "RU", "ZH"], label=_("Language", lang), value=settings['language']),
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gr.Radio(choices=["True", "False"], label=_("Share Mode", lang), value="False"),
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gr.Radio(choices=["True", "False"], label=_("Debug Mode", lang), value="False"),
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gr.Radio(choices=["True", "False"], label=_("Monitoring Mode", lang), value="False"),

‎README.md

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## Wiki
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* https://github.com/Dartvauder/NeuroSandboxWebUI/wiki
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* https://github.com/Dartvauder/NeuroSandboxWebUI/wiki/EN‐Wiki
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## Acknowledgment to developers
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* `pixeloe` - https://github.com/KohakuBlueleaf/PixelOE
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* `k-diffusion` - https://github.com/crowsonkb/k-diffusion
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* `open-parse` - https://github.com/Filimoa/open-parse
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* `AudioSR` - https://github.com/haoheliu/versatile_audio_super_resolution/
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* `AudioSR` - https://github.com/haoheliu/versatile_audio_super_resolution
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## Third Party Licenses:
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‎Readmes/README_RU.md

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* `pixeloe` - https://github.com/KohakuBlueleaf/PixelOE
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* `k-diffusion` - https://github.com/crowsonkb/k-diffusion
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* `open-parse` - https://github.com/Filimoa/open-parse
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* `AudioSR` - https://github.com/haoheliu/versatile_audio_super_resolution/
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* `AudioSR` - https://github.com/haoheliu/versatile_audio_super_resolution
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## Лицензии третьих сторон:
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‎Readmes/README_ZH.md

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# Soon...
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## [功能](/#功能) | [依赖](/#必需依赖) | [系统要求](/#最低系统要求) | [安装](/#如何安装) | [Wiki](/#Wiki) | [致谢](/#致开发者的感谢) | [许可证](/#第三方许可证)
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# ![主图](https://github.com/Dartvauder/NeuroSandboxWebUI/assets/140557322/4ea0d891-8979-45ad-b052-626c41ae991a)
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* 仍在进行中但已稳定！
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* [English](/README.md) | [Русский](/Readmes/README_RU.md) | 漢語
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## 描述：
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一个简单方便的界面，用于使用各种神经网络模型。您可以通过文本、语音和图像输入与LLM和Moondream2进行通信；使用StableDiffusion、Kandinsky、Flux、HunyuanDiT、Lumina-T2X、Kolors、AuraFlow、Würstchen、DeepFloydIF、PixArt和PlaygroundV2.5生成图像；使用ModelScope、ZeroScope 2、CogVideoX和Latte生成视频；使用StableFast3D、Shap-E、SV34D和Zero123Plus生成3D对象；使用StableAudioOpen、AudioCraft和AudioLDM 2生成音乐和音频；使用CoquiTTS、MMS和SunoBark进行文本到语音转换；使用OpenAI-Whisper和MMS进行语音到文本转换；使用Wav2Lip进行唇形同步；使用LivePortrait为图像添加动画；使用Roop进行换脸；使用Rembg移除背景；使用CodeFormer修复面部；使用PixelOE进行图像像素化；使用DDColor为图像上色；使用LibreTranslate和SeamlessM4Tv2进行文本翻译；使用Demucs和UVR进行音频文件分离；使用RVC进行语音转换。您还可以在图库中查看输出目录中的文件，下载LLM和StableDiffusion模型，在界面内更改应用程序设置并检查系统传感器。
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项目目标 - 创建一个尽可能简单易用的神经网络模型应用程序
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### 文本：<img width="1119" alt="1zh" src="https://github.com/user-attachments/assets/1cbda009-8230-4dc2-beb7-a77505e96d81">
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### 图像：<img width="1127" alt="2zh" src="https://github.com/user-attachments/assets/151001bc-27b2-4561-84f1-7ec521ad972e">
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### 视频：<img width="1117" alt="3zh" src="https://github.com/user-attachments/assets/70ebf95e-f82e-467a-a027-64ee917527cc">
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### 3D：<img width="1121" alt="4zh" src="https://github.com/user-attachments/assets/6c78d5a9-3794-43af-b167-fb63a4102d83">
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### 音频：<img width="1117" alt="5zh" src="https://github.com/user-attachments/assets/f87efe4d-095f-4e99-abfb-759801ff4f29">
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### 额外功能：<img width="1116" alt="6zh" src="https://github.com/user-attachments/assets/f92da750-9ce6-4982-80e1-324c0ee749c3">
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### 界面：<img width="1120" alt="7zh" src="https://github.com/user-attachments/assets/f444b0bb-cc7d-46fc-8eb6-a944e9269838">
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## 功能：
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* 通过install.bat（Windows）或install.sh（Linux）轻松安装
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* 您可以通过移动设备在本地主机（通过IPv4）或在线任何地方（通过Share）使用应用程序
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* 灵活且优化的界面（由Gradio提供）
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* 从`Install`和`Update`文件进行调试日志记录
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* 提供三种语言版本
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* 支持Transformers和llama.cpp模型（LLM）
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* 支持diffusers和safetensors模型（StableDiffusion）- txt2img、img2img、depth2img、marigold、pix2pix、controlnet、upscale（latent）、upscale（SUPIR）、refiner、inpaint、outpaint、gligen、diffedit、blip-diffusion、animatediff、hotshot-xl、video、ldm3d、sd3、cascade、t2i-ip-adapter、ip-adapter-faceid和riffusion标签
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* 支持stable-diffusion-cpp模型用于FLUX
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* 支持额外的图像生成模型：Kandinsky（txt2img、img2img、inpaint）、Flux（支持LoRA）、HunyuanDiT（txt2img、controlnet）、Lumina-T2X、Kolors（支持LoRA的txt2img、img2img、ip-adapter-plus）、AuraFlow（支持LoRA和AuraSR）、Würstchen、DeepFloydIF（txt2img、img2img、inpaint）、PixArt和PlaygroundV2.5
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* 支持使用Rembg、CodeFormer、PixelOE、DDColor、DownScale、格式转换器、换脸（Roop）和放大（Real-ESRGAN）模型进行图像、视频和音频的额外处理
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* 支持StableAudio
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* 支持AudioCraft（模型：musicgen、audiogen和magnet）
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* 支持AudioLDM 2（模型：audio和music）
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* 支持TTS和Whisper模型（用于LLM和TTS-STT）
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* 支持MMS进行文本到语音和语音到文本转换
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* 支持Lora、Textual inversion（embedding）、Vae、MagicPrompt、Img2img、Depth、Marigold、Pix2Pix、Controlnet、Upscalers（latent和SUPIR）、Refiner、Inpaint、Outpaint、GLIGEN、DiffEdit、BLIP-Diffusion、AnimateDiff、HotShot-XL、Videos、LDM3D、SD3、Cascade、T2I-IP-ADAPTER、IP-Adapter-FaceID和Riffusion模型（用于StableDiffusion）
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* 支持Multiband Diffusion模型（用于AudioCraft）
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* 支持LibreTranslate（本地API）和SeamlessM4Tv2进行语言翻译
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* 支持ModelScope、ZeroScope 2、CogVideoX和Latte进行视频生成
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* 支持SunoBark
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* 支持Demucs和UVR进行音频文件分离
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* 支持RVC进行语音转换
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* 支持StableFast3D、Shap-E、SV34D和Zero123Plus进行3D生成
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* 支持Wav2Lip
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* 支持LivePortrait为图像添加动画
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* 支持LLM的多模态（Moondream 2）、PDF解析（OpenParse）、TTS（CoquiTTS）、STT（Whisper）、LORA和网络搜索（使用DuckDuckGo）
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* 用于生成图像、视频和音频的元数据信息查看器
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* 界面内的模型设置
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* 在线和离线Wiki
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* 图库
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* 模型下载器（用于LLM和StableDiffusion）
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* 应用程序设置
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* 能够查看系统传感器
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## 必需依赖：
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* [Python](https://www.python.org/downloads/)（3.10.11）
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* [Git](https://git-scm.com/downloads)
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* [CUDA](https://developer.nvidia.com/cuda-downloads)（12.4）和[cuDNN](https://developer.nvidia.com/cudnn-downloads)（9.1）
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* [FFMPEG](https://ffmpeg.org/download.html)
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- C++编译器
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- Windows：[VisualStudio](https://visualstudio.microsoft.com/ru/)、[VisualStudioCode](https://code.visualstudio.com)和[Cmake](https://cmake.org)
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- Linux：[GCC](https://gcc.gnu.org/)、[VisualStudioCode](https://code.visualstudio.com)和[Cmake](https://cmake.org)
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## 最低系统要求：
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* 系统：Windows或Linux
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* GPU：6GB+或CPU：8核3.6GHZ
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* RAM：16GB+
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* 磁盘空间：20GB+
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* 需要互联网连接以下载模型和进行安装
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## 如何安装：
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### Windows
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1) 首先安装所有[必需依赖](/#必需依赖)
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2) 在任意位置执行`Git clone https://github.com/Dartvauder/NeuroSandboxWebUI.git`
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3) 运行`Install.bat`并等待安装完成
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4) 安装完成后，运行`Start.bat`
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5) 选择文件版本并等待应用程序启动
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6) 现在您可以开始生成了！
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要获取更新，请运行`Update.bat`
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要通过终端使用虚拟环境，请运行`Venv.bat`
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### Linux
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1) 首先安装所有[必需依赖](/#必需依赖)
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2) 在任意位置执行`Git clone https://github.com/Dartvauder/NeuroSandboxWebUI.git`
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3) 在终端中运行`./Install.sh`并等待所有依赖项安装完成
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4) 安装完成后，运行`./Start.sh`
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5) 等待应用程序启动
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6) 现在您可以开始生成了！
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要获取更新，请运行`./Update.sh`
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要通过终端使用虚拟环境，请运行`./Venv.sh`
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## Wiki
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* https://github.com/Dartvauder/NeuroSandboxWebUI/wiki/ZH‐Wiki
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## 致开发者的感谢
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#### 非常感谢这些项目，因为正是通过他们的应用程序/库，我才能够创建我的应用程序：
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首先，我要感谢[PyCharm](https://www.jetbrains.com/pycharm/)和[GitHub](https://desktop.github.com)的开发者。借助他们的应用程序，我能够创建并分享我的代码
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* `gradio` - https://github.com/gradio-app/gradio
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* `transformers` - https://github.com/huggingface/transformers
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* `tts` - https://github.com/coqui-ai/TTS
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* `openai-whisper` - https://github.com/openai/whisper
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* `torch` - https://github.com/pytorch/pytorch
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* `soundfile` - https://github.com/bastibe/python-soundfile
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* `cuda-python` - https://github.com/NVIDIA/cuda-python
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* `gitpython` - https://github.com/gitpython-developers/GitPython
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* `diffusers` - https://github.com/huggingface/diffusers
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* `llama.cpp-python` - https://github.com/abetlen/llama-cpp-python
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* `stable-diffusion-cpp-python` - https://github.com/william-murray1204/stable-diffusion-cpp-python
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* `audiocraft` - https://github.com/facebookresearch/audiocraft
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* `AudioLDM2` - https://github.com/haoheliu/AudioLDM2
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* `xformers` - https://github.com/facebookresearch/xformers
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* `demucs` - https://github.com/facebookresearch/demucs
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* `libretranslate` - https://github.com/LibreTranslate/LibreTranslate
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* `libretranslatepy` - https://github.com/argosopentech/LibreTranslate-py
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* `rembg` - https://github.com/danielgatis/rembg
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* `trimesh` - https://github.com/mikedh/trimesh
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* `suno-bark` - https://github.com/suno-ai/bark
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* `IP-Adapter` - https://github.com/tencent-ailab/IP-Adapter
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* `PyNanoInstantMeshes` - https://github.com/vork/PyNanoInstantMeshes
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* `CLIP` - https://github.com/openai/CLIP
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* `rvc-python` - https://github.com/daswer123/rvc-python
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* `audio-separator` - https://github.com/nomadkaraoke/python-audio-separator
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* `pixeloe` - https://github.com/KohakuBlueleaf/PixelOE
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* `k-diffusion` - https://github.com/crowsonkb/k-diffusion
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* `open-parse` - https://github.com/Filimoa/open-parse
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* `AudioSR` - https://github.com/haoheliu/versatile_audio_super_resolution
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## 第三方许可证：
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#### 许多模型都有自己的使用许可证。在使用之前，我建议您熟悉它们：
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* [Transformers](https://github.com/huggingface/transformers/blob/main/LICENSE)
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* [llama.cpp](https://github.com/ggerganov/llama.cpp/blob/master/LICENSE)
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* [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp/blob/master/LICENSE)
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* [CoquiTTS](https://coqui.ai/cpml)
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* [OpenAI-Whisper](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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* [LibreTranslate](https://github.com/LibreTranslate/LibreTranslate/blob/main/LICENSE)
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* [Diffusers](https://github.com/huggingface/diffusers/blob/main/LICENSE)
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* [StableDiffusion1.5](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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* [StableDiffusion2](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/LICENSE.md)
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* [StableDiffusion3](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers/blob/main/LICENSE)
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* [StableDiffusionXL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/LICENSE.md)
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* [StableCascade](https://huggingface.co/stabilityai/stable-cascade/blob/main/LICENSE)
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* [LatentDiffusionModel3D](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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* [StableVideoDiffusion](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt-1-1/blob/main/LICENSE)
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* [I2VGen-XL](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md)
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* [Rembg](https://github.com/danielgatis/rembg/blob/main/LICENSE.txt)
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* [Shap-E](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md)
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* [StableAudioOpen](https://huggingface.co/stabilityai/stable-audio-open-1.0/blob/main/LICENSE)
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* [AudioCraft](https://spdx.org/licenses/CC-BY-NC-4.0)
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* [AudioLDM2](https://spdx.org/licenses/CC-BY-NC-SA-4.0)
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* [Demucs](https://github.com/facebookresearch/demucs/blob/main/LICENSE)
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* [SunoBark](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md)
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* [Moondream2](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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* [ZeroScope2](https://spdx.org/licenses/CC-BY-NC-4.0)
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* [GLIGEN](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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* [Wav2Lip](https://github.com/Rudrabha/Wav2Lip)
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* [Roop](https://github.com/s0md3v/roop/blob/main/LICENSE)
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* [CodeFormer](https://github.com/sczhou/CodeFormer/blob/master/LICENSE)
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* [ControlNet](https://github.com/lllyasviel/ControlNet/blob/main/LICENSE)
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* [AnimateDiff](https://github.com/guoyww/AnimateDiff/blob/main/LICENSE.txt)
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* [Pix2Pix](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md)
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* [Kandinsky 2.1; 2.2; 3](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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* [Flux-schnell](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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* [Flux-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)
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* [HunyuanDiT](https://huggingface.co/Tencent-Hunyuan/HunyuanDiT/blob/main/LICENSE.txt)
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* [Lumina-T2X](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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* [DeepFloydIF](https://huggingface.co/spaces/DeepFloyd/deepfloyd-if-license)
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* [PixArt](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/LICENSE.md)
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* [CogVideoX](https://huggingface.co/THUDM/CogVideoX-2b/blob/main/LICENSE)
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* [Latte](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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* [Kolors](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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* [AuraFlow](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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* [Würstchen](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md)
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* [ModelScope](https://spdx.org/licenses/CC-BY-NC-4.0)
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* [StableFast3D](https://github.com/Stability-AI/stable-fast-3d/blob/main/LICENSE.md)
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* [SV34D](https://huggingface.co/stabilityai/sv4d/blob/main/LICENSE.md)
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* [Zero123Plus](https://huggingface.co/blog/open_rail)
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* [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE)
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* [Refiner](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/LICENSE.md)
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* [PlaygroundV2.5](https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic/blob/main/LICENSE.md)
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* [AuraSR](https://huggingface.co/fal/AuraSR/blob/main/LICENSE.md)
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* [IP-Adapter-FaceID](https://huggingface.co/h94/IP-Adapter-FaceID)
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* [T2I-IP-Adapter](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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* [MMS](https://spdx.org/licenses/CC-BY-NC-4.0)
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* [SeamlessM4Tv2](https://spdx.org/licenses/CC-BY-NC-4.0)
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* [HotShot-XL](https://github.com/hotshotco/Hotshot-XL/blob/main/LICENSE)
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* [Riffusion](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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* [MozillaCommonVoice17](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/cc0-1.0.md)
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* [UVR-MDX](https://github.com/kuielab/mdx-net/blob/main/LICENSE)
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* [RVC](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
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* [DDColor](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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* [PixelOE](https://github.com/KohakuBlueleaf/PixelOE/blob/main/LICENSE)
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* [LivePortrait](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md)
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* [SUPIR](https://github.com/Fanghua-Yu/SUPIR/blob/master/LICENSE)
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* [MagicPrompt](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md)
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* [Marigold](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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* [BLIP-Diffusion](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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#### 这些第三方仓库代码也在我的项目中使用：
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* [Generative-Models for SV34D](https://github.com/Stability-AI/generative-models)
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* [CodeFormer for extras](https://github.com/sczhou/CodeFormer)
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* [Real-ESRGAN for upscale](https://github.com/xinntao/Real-ESRGAN)
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* [HotShot-XL for StableDiffusion](https://github.com/hotshotco/Hotshot-XL)
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* [Roop for extras](https://github.com/s0md3v/roop)
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* [StableFast3D for 3D](https://github.com/Stability-AI/stable-fast-3d)
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* [Riffusion for StableDiffusion](https://github.com/riffusion/riffusion-hobby)
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* [DDColor for extras](https://github.com/piddnad/DDColor)
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* [LivePortrait for video](https://github.com/KwaiVGI/LivePortrait)
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* [SUPIR for StableDiffusion](https://github.com/Fanghua-Yu/SUPIR)
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## 捐赠
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### *如果您喜欢我的项目并想要捐赠，这里有捐赠选项。非常感谢您的支持！*
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* [!["给我买杯咖啡"](https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png)](https://www.buymeacoffee.com/Dartvauder)
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## Star历史
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[![Star历史图表](https://api.star-history.com/svg?repos=Dartvauder/NeuroSandboxWebUI&type=Date)](https://star-history.com/#Dartvauder/NeuroSandboxWebUI&Date)

‎Start.bat

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Original file line numberDiff line numberDiff line change
@@ -25,7 +25,7 @@ echo Logging in to Hugging Face...
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huggingface-cli login --token %HF_TOKEN% --add-to-git-credential
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cls
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echo Launching app.py...
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echo Launching NeuroSandboxWebUI...
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start /b py -c "import os, sys; sys.path.insert(0, os.path.join(os.path.dirname(__name__), 'LaunchFile')); import app"
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call "%CURRENT_DIR%venv\Scripts\deactivate.bat"

‎Start.sh

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Original file line numberDiff line numberDiff line change
@@ -28,7 +28,7 @@ echo "Logging in to Hugging Face..."
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huggingface-cli login --token "$HF_TOKEN" --add-to-git-credential
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clear
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echo "Launching app.py..."
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echo "Launching NeuroSandboxWebUI..."
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python -c "import os, sys; sys.path.insert(0, os.path.join('$(dirname "${BASH_SOURCE[0]}")', 'LaunchFile')); import app" &
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deactivate

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