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Here is the latest AI information for September 3rd.

Cutting-edge Technology

1. Google proposes a new, training-free personalized diffusion model method: RB-Modulation.

This method achieves personalized style and content control through random optimal control and feature aggregation modules, while maintaining high consistency with reference styles and text prompts.

Detailed introduction: https://rb-modulation.github.io/

Online experience: https://huggingface.co/spaces/fffiloni/RB-Modulation

The demo results are very good, and it also directly supports SDXL and FLUX.

2. A multimodal large language model with real-time conversational capabilities: Mini-Omni.

This model can achieve real-time end-to-end voice input and streaming voice output for conversation capabilities without requiring additional automatic speech recognition (ASR) or text-to-speech (TTS) models.

GitHub: https://github.com/gpt-omni/mini-omni

Model download: https://huggingface.co/gpt-omni/mini-omni

Features include:

• Real-time voice conversation capabilities without additional ASR and TTS models.
• Ability to simultaneously generate text and output voice, achieving a "listen and think" effect.
• Supports streaming audio output, enabling real-time voice output.
• Supports batch inference for "audio-to-text" and "audio-to-audio" to improve processing efficiency and performance.

Open-source Projects

1. An open-source AI data analysis assistant: MinusX.

Add a chat window to the side of the application, allowing users to directly operate the application through conversation for data analysis or answering questions.

GitHub: https://github.com/minusxai/minusx

Currently, it supports two applications: Jupyter and Metabase, with more to be supported in the future.

2. A high-quality third-party NetEase Cloud Music player: YesPlayMusic.

Developed using the Vue.js framework, it includes all basic music player functions, supporting MV playback, lyrics display, dark mode, custom shortcuts, and more.

GitHub: https://github.com/qier222/YesPlayMusic

Installation packages are available for Windows and macOS systems, or you can deploy it yourself.