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v1.5 (All-in-One)

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@AIVTDevPKevin AIVTDevPKevin released this 30 Sep 02:42
· 11 commits to main since this release
ver1.5
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Release Notes 發布內容

  1. Added new LLM models
    新增LLM模型
"gemini-2.5-flash"、"gemini-2.5-flash-lite"

Details of the model updates can be found at
具體模型更新內容可以參考:
https://ai.google.dev/gemini-api/docs/models/gemini

  1. Updated to Google Gen AI SDK v1.39.1
    使用最新版 Google Gen AI SDK v1.39.1

  2. Fixed an issue where edge-tts was not working properly
    修正 edge-tts 無法正常運作的問題

All-in-One Version 整合包

This is the packaged version of the AI-VTuber-System including the required Python environment.
To run the program, simply click the AI-VTuber-System.bat file in the root directory.
There's no need to install CUDA and cuDNN manually.
The Python environment included in the package already comes with the required CUDA version.
Since the CUDA environment used is version 12.1, please make sure your Nvidia graphics driver version is higher than 530.x.
For more detailed instructions, please watch the video link provided below.
This version only includes the base model of whisper.
Download links for other models are provided below.

這是AI-VTuber-System含所需的python環境打包版
點擊根目錄下的AI-VTuber-System.bat即可運行程式
不需要自行安裝CUDA與cuDNN
整合包裡的Python環境已經自帶所需的CUDA版本
由於使用的CUDA環境為12.1，所以請仍須確保你的Nvidia顯卡驅動版本大於530.x
更詳細的使用說明請觀看以下影片連結
此版本只包含whisper的base模型
其餘模型下方有下載連結

Alternative Download Link (Google Drive) 備用載點 (Google雲端硬碟)

https://drive.google.com/drive/folders/12xTTSSw-8o6jLZSofs81t74jr_5dXpM2?usp=sharing

Tutorial Video 使用說明影片

https://www.youtube.com/watch?v=Hwss_p2Iroc

User Manual 使用手冊

https://docs.google.com/document/d/12wZVLUJw33gpqiWLpvcvhMpGg7vfl8U_it4feTGciLE/edit?usp=sharing

Nvidia

GPU Driver 顯示卡驅動程式
https://www.nvidia.com.tw/Download/index.aspx

Whisper Model Download Links 模型載點

tiny.en: https://openaipublic.azureedge.net/main/whisper/models/d3dd57d32accea0b295c96e26691aa14d8822fac7d9d27d5dc00b4ca2826dd03/tiny.en.pt
tiny: https://openaipublic.azureedge.net/main/whisper/models/65147644a518d12f04e32d6f3b26facc3f8dd46e5390956a9424a650c0ce22b9/tiny.pt
base.en: https://openaipublic.azureedge.net/main/whisper/models/25a8566e1d0c1e2231d1c762132cd20e0f96a85d16145c3a00adf5d1ac670ead/base.en.pt
base: https://openaipublic.azureedge.net/main/whisper/models/ed3a0b6b1c0edf879ad9b11b1af5a0e6ab5db9205f891f668f8b0e6c6326e34e/base.pt
small.en: https://openaipublic.azureedge.net/main/whisper/models/f953ad0fd29cacd07d5a9eda5624af0f6bcf2258be67c92b79389873d91e0872/small.en.pt
small: https://openaipublic.azureedge.net/main/whisper/models/9ecf779972d90ba49c06d968637d720dd632c55bbf19d441fb42bf17a411e794/small.pt
medium.en: https://openaipublic.azureedge.net/main/whisper/models/d7440d1dc186f76616474e0ff0b3b6b879abc9d1a4926b7adfa41db2d497ab4f/medium.en.pt
medium: https://openaipublic.azureedge.net/main/whisper/models/345ae4da62f9b3d59415adc60127b97c714f32e89e936602e85993674d08dcb1/medium.pt
large-v1: https://openaipublic.azureedge.net/main/whisper/models/e4b87e7e0bf463eb8e6956e646f1e277e901512310def2c24bf0e11bd3c28e9a/large-v1.pt
large-v2: https://openaipublic.azureedge.net/main/whisper/models/81f7c96c852ee8fc832187b0132e569d6c3065a3252ed18e56effd0b6a73e524/large-v2.pt
large-v3: https://openaipublic.azureedge.net/main/whisper/models/e5b1a55b89c1367dacf97e3e19bfd829a01529dbfdeefa8caeb59b3f1b81dadb/large-v3.pt
turbo: https://openaipublic.azureedge.net/main/whisper/models/aff26ae408abcba5fbf8813c21e62b0941638c5f6eebfb145be0c9839262a19a/large-v3-turbo.pt

Full Changelog: ver1.4...ver1.5

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