Merge pull request #3 from pengooseDev/main

Docs: Add README_kr.md & Linting
2024-09-29 14:26:25 +09:00 · 2024-05-13 00:04:50 +09:00 · 2024-05-13 00:04:50 +09:00 · e6b2709814
commit e6b2709814
parent a37825d740 0bcc668b80
3 changed files with 246 additions and 70 deletions
--- a/README.md
+++ b/README.md
@ -1,30 +1,43 @@
 # RVC-Models-Downloader
-English | [简体中文](README_sc.md)
+
+English | [简体中文](README_sc.md) | [한국어](README_kr.md)

 Easy tool to download a batch of files listed in yaml (ex. RVC models in Hugging Face 🤗).

 ![tui demo](https://github.com/RVC-Project/RVC-Models-Downloader/assets/41315874/db577dfb-8a6d-4909-b071-9d36cc77afc6)

 ## Quick Start
+
 ### Preparation
+
 1. Download the program at [Release](https://github.com/RVC-Project/RVC-Models-Downloader/releases) page.
 2. Put this program into the root directory of RVC (or whatever position you want to download some files into).
 3. You can also add it to the `PATH` to use this tool everywhere. If you have installed this program by a package manager, it may be already in the `PATH`.
+
 ### Download
+
 #### All Assets of RVC
+
 ```bash
 rvcmd assets/all
 ```
+
 #### Latest General Pack of RVC (Windows Only)
+
 ```bash
 rvcmd packs/general/latest
 ```
+
 #### ffmpeg Tools (Windows Only)
+
 ```bash
 rvcmd tools/ffmpeg
 ```
+
 ### Customized Download
+
 #### Ex.1. Download ffmpeg Tools & Latest Intel Pack
+
 1. Write and save the following `cust.yaml`.
   ```yaml
   BaseURL: https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main
@ -36,8 +49,11 @@ rvcmd tools/ffmpeg
   ```bash
   rvcmd -c cust
   ```
+
 #### Ex.2. Download other Repositories in 🤗
+
 > Use [Stable Diffusion v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5) as the example.
+
 1. Write and save the following `cust.yaml`.
   ```yaml
   BaseURL: https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main
@ -50,8 +66,11 @@ rvcmd tools/ffmpeg
       Copy: # files to download
         - vae/diffusion_pytorch_model.bin
   ```
+
 #### Ex.3. Download Releases in GitHub
+
 > Use [yousa-ling-diffsinger-v1.3](https://github.com/yousa-ling-official-production/yousa-ling-diffsinger-v1/releases/tag/v1.3) as the example.
+
 1. Write and save the following `cust.yaml`.
   ```yaml
   BaseURL: https://github.com/yousa-ling-official-production/yousa-ling-diffsinger-v1/releases/download/v1.3
@ -64,7 +83,9 @@ rvcmd tools/ffmpeg
   ```bash
   rvcmd -c cust
   ```
+
 ## Full Usage
+
 ```bash
 Usage: rvcmd [-notrs] [-dns dns.yaml] 'target/to/download'
  -c    use custom yaml instruction
@ -104,6 +125,7 @@ All available targets:
    tools:
        ffmpeg
 ```
+
 ## Demo Video

 https://github.com/RVC-Project/RVC-Models-Downloader/assets/41315874/da2b5827-8b1a-45f8-a9c0-03a5618ad5f8
--- a/README_kr.md
+++ b/README_kr.md
@ -0,0 +1,133 @@
+# RVC-Models-Downloader
+
+[English](README.md) | [简体中文](README_sc.md) | 한국어
+
+yaml의 batch 파일을 쉽게 다운로드 할 수 있는 도구입니다. (Hugging Face 🤗의 RVC 모델 등).
+
+![tui demo](https://github.com/RVC-Project/RVC-Models-Downloader/assets/41315874/db577dfb-8a6d-4909-b071-9d36cc77afc6)
+
+## 빠른 시작
+
+### 준비
+
+1. [릴리스](https://github.com/RVC-Project/RVC-Models-Downloader/releases) 페이지에서 프로그램을 다운로드를 받아주세요.
+2. 해당 프로그램을 RVC의 루트 디렉토리(또는 파일을 다운로드하고 싶은 위치)에 넣어주세요.
+3. 이 도구를 어디에서나 사용할 수 있도록 `PATH`에 추가할 수도 있습니다. 패키지 매니저를 통해 이 프로그램을 설치했다면 이미 `PATH`에 등록되어 있을 수 있습니다.
+
+### 다운로드
+
+#### RVC의 모든 자산
+
+```bash
+rvcmd assets/all
+```
+
+#### RVC의 최신 일반 팩 (Windows 전용)
+
+```bash
+rvcmd packs/general/latest
+```
+
+#### ffmpeg 도구 (Windows 전용)
+
+```bash
+rvcmd tools/ffmpeg
+```
+
+### 사용자 정의 다운로드
+
+#### 예시 1. ffmpeg 도구 & 최신 인텔 팩 다운로드
+
+1. 다음 내용을 포함한 `cust.yaml`을 작성하고 저장합니다.
+   ```yaml
+   BaseURL: https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main
+   Targets:
+     - Refer: tools/ffmpeg
+     - Refer: packs/intel/latest
+   ```
+2. 같은 폴더에서 `rvcmd`를 실행합니다.
+
+   ```bash
+   rvcmd -c cust
+   ```
+
+   #### 예시 2. 🤗의 다른 저장소 다운로드
+
+   > [Stable Diffusion v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5)를 예시로 사용합니다.
+
+   1. 다음 내용을 포함한 `cust.yaml`을 작성하고 저장합니다.
+      ```yaml
+      BaseURL: https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main
+      Targets:
+        - Folder: sd1.5 # 다운로드할 폴더
+          Copy: # 다운로드할 파일
+            - v1-5-pruned-emaonly.ckpt
+            - v1-5-pruned-emaonly.safetensors
+        - Folder: sd1.5/vae # 다운로드할 폴더
+          Copy: # 다운로드할 파일
+            - vae/diffusion_pytorch_model.bin
+      ```
+
+#### 예시 3. GitHub에서 릴리스 다운로드
+
+> [yousa-ling-diffsinger-v1.3](https://github.com/yousa-ling-official-production/yousa-ling-diffsinger-v1/releases/tag/v1.3)를 예시로 사용합니다.
+
+1. 다음 내용을 포함한 `cust.yaml`을 작성하고 저장합니다.
+   ```yaml
+   BaseURL: https://github.com/yousa-ling-official-production/yousa-ling-diffsinger-v1/releases/download/v1.3
+   Targets:
+     - Folder: . # 다운로드할 폴더
+       Copy: # 다운로드할 파일
+         - yousaV1.3.zip
+   ```
+2. 같은 폴더에서 `rvcmd`를 실행합니다.
+
+   ```bash
+    rvcmd -c cust
+   ```
+
+## 전체 사용법
+
+```bash
+Usage: rvcmd [-notrs] [-dns dns.yaml] 'target/to/download'
+  -c    use custom yaml instruction
+  -dns string
+        custom dns.yaml
+  -f    force download even file exists
+  -notrs
+        use standard TLS client
+  -notui
+        use plain text instead of TUI
+  -w uint
+        connection waiting seconds (default 4)
+  'target/to/download'
+        like packs/general/latest
+All available targets:
+    assets:
+        all    hubert    rmvpe    uvr5    v1    v2
+    packs:
+        amd:
+            latest
+            v2:
+                20230813    20231006
+        general:
+            latest
+            v1:
+                20230331    20230416    20230428    20230508    20230513    20230516    20230717
+            v2:
+                20230528    20230618
+        intel:
+            latest
+            v2:
+                20230813    20231006
+        nvidia:
+            latest
+            v2:
+                20230813    20231006
+    tools:
+        ffmpeg
+```
+
+## 데모 비디오
+
+https://github.com/RVC-Project/RVC-Models-Downloader/assets/41315874/da2b5827-8b1a-45f8-a9c0-03a5618ad5f8
--- a/README_sc.md
+++ b/README_sc.md
@ -1,30 +1,43 @@
 # RVC 模型下载器
-[English](README.md) | 简体中文
+
+[English](README.md) | 简体中文 | [한국어](README_kr.md)

 一个能够批量下载`yaml`清单内文件的简单工具（例如 Hugging Face 🤗 中的 RVC 模型）。

 ![tui demo](https://github.com/RVC-Project/RVC-Models-Downloader/assets/41315874/db577dfb-8a6d-4909-b071-9d36cc77afc6)

 ## 快速开始
+
 ### 准备工作
+
 1. 在[发布](https://github.com/RVC-Project/RVC-Models-Downloader/releases)页面下载程序。
 2. 将此程序放入 RVC 的根目录（或您想要下载文件的任何位置）。
 3. 您也可以将它添加到`PATH`中以便在任何地方使用此工具。如果您已经通过包管理器安装了此程序，那么它可能已经位于`PATH`。
+
 ### 下载
+
 #### RVC 的所有资源文件
+
 ```bash
 rvcmd assets/all
 ```
+
 #### RVC 的最新通用整合包（仅限 Windows）
+
 ```bash
 rvcmd packs/general/latest
 ```
+
 #### ffmpeg 工具（仅限 Windows）
+
 ```bash
 rvcmd tools/ffmpeg
 ```
+
 ### 自定义下载
+
 #### 示例 1. 下载 ffmpeg 工具和最新的 Intel 包
+
 1. 编写并保存以下`cust.yaml`。
   ```yaml
   BaseURL: https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main
@ -36,8 +49,11 @@ rvcmd tools/ffmpeg
   ```bash
   rvcmd -c cust
   ```
+
 #### 示例 2. 下载 🤗 中的其他仓库
+
 > 以 [Stable Diffusion v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5) 为例。
+
 1. 编写并保存以下`cust.yaml`。
   ```yaml
   BaseURL: https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main
@ -50,8 +66,11 @@ rvcmd tools/ffmpeg
       Copy: # files to download
         - vae/diffusion_pytorch_model.bin
   ```
+
 #### 示例 3. 下载 GitHub 中的发布版本
+
 > 以 [yousa-ling-diffsinger-v1.3](https://github.com/yousa-ling-official-production/yousa-ling-diffsinger-v1/releases/tag/v1.3) 为例。
+
 1. 编写并保存以下`cust.yaml`。
   ```yaml
   BaseURL: https://github.com/yousa-ling-official-production/yousa-ling-diffsinger-v1/releases/download/v1.3
@ -64,7 +83,9 @@ rvcmd tools/ffmpeg
   ```bash
   rvcmd -c cust
   ```
+
 ## 完整用法
+
 ```bash
 Usage: rvcmd [-notrs] [-dns dns.yaml] 'target/to/download'
  -c    use custom yaml instruction