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HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning

Convert PDFs, EPUBs, DOCX, DOC, and TXT files into high-quality audiobooks using **Qwen3 TTS Voice Model** - an open-source voice synthesis system that excels at natural speech generation and voice cloning.

An AI-Driven managa generator, drop a story, character or location sheets, and generate your pages.

Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking face running locally across platforms

AI Song Generation with Full Style Control - Generate complete songs with lyrics, vocals, and instrumental tracks using Tencent AI Lab's SongGeneration (LeVo) model. [NVIDIA ONLY]

Qwen3-TTS is an open-source series of TTS models developed by the Qwen team

PersonaPlex code. Contribute to NVIDIA/personaplex development by creating an account on GitHub.

Local multimodal app powered by Liquid AI LFM2.5-Audio-1.5B and LFM2.5-VL-1.6B models, delivering real-time voice chat, text-to-speech synthesis, long-form audio transcription, and multi-image vision reasoning.

Automatically remove the mosaics in images and videos with any GPU. Offers DirectML for AMD instead of only CUDA like most other programs.

A 3D Gaussian Splatting framework with various derived algorithms and an interactive web viewer

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Simple drag and drop AI based background remover 100% local models, no internet needed after models download

This repository detects your facial expressions and matches you with a famous meme.

Qwen3-TTS GUI is a local graphical interface application (Gradio) that allows interaction with various modes of the Qwen3-TTS model, running on Windows.

VibeVoice: Expressive, longform conversational speech synthesis. (Community fork)

Contribute to ahujasid/blender-mcp development by creating an account on GitHub.

OpenAI Codex CLI with --dangerously-bypass-approvals-and-sandbox

Manage your ComfyUI environments with Docker

Contribute to HeartMuLa/heartlib development by creating an account on GitHub.