Spend 1 minute each day to get selected cutting-edge AI information.
The content covers but is not limited to cutting-edge AI news, AI tools, AI painting, open-source projects, and learning tutorials, etc.
Follow AI Daily to keep up with the AI trends. We hope this will be helpful to you. For important information, separate posts will be made for detailed introductions.
Below is the latest AI information for September 1st.
AI Painting
1. A realistic model based on FLUX: AWPortrait-FL.
Compared to the original Flux, AWPortrait-FL has significantly improved in composition aesthetics and image details, offering more delicate and realistic results.
Model download: https://huggingface.co/Shakker-Labs/AWPortrait-FL
Open Source Projects
1. A free and open-source tool that allows Xiaomi smart speakers to play local music: xiaomusic.
When the music controlled by voice is not available, it can automatically search for matching songs using yt-dlp and download them locally for playback.
GitHub: https://github.com/hanxi/xiaomusic
Features include:
- Supports multiple music formats such as mp3, flac, wav, and m4a;
- Supports voice commands, such as play song, next song, repeat all, etc.;
- Supports multiple devices, basically compatible with all Xiaomi speaker models;
- Supports configuring online playlists, radio, and songs;
- Supports converting M3U playlist radios into online playlists;
- Supports deployment via Docker, and can also be deployed on NAS;
- Provides a simple and user-friendly backend control panel.
2. A feature-rich open-source AI voice toolbox: Easy Voice Toolkit.
The toolkit includes a variety of audio tools such as audio processing, speech recognition, speech transcription, dataset creation, and speech synthesis, forming a complete workflow for voice model training.
GitHub: https://github.com/Spr-Aachen/Easy-Voice-Toolkit
Each tool supports Chinese, English, and Japanese languages, provides a Windows out-of-the-box installer, and supports both local deployment and Google Colab cloud deployment.
3. A detailed learning guide to becoming a software engineer from scratch.
The guide covers understanding basic computer knowledge, mastering software development tools and processes, understanding databases, object-oriented programming, and DevOps tools.
The guide starts with learning the Python language and ends with some suggestions, including how to prepare for coding interviews, how to choose jobs, and how to continue learning and developing personal projects.
