This repository provides a native MOSS-Image plugin for ComfyUI.
Global
Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs vocal isolation, and multilingual translation.
WanGP by DeepBeepMeep : The best Open Source Generative Models Accessible to the GPU Poor
> Hi everyone! The original version of PaperBanana is already open-sourced under Google-Research as PaperVizAgent.
OmniVoice is a state-of-the-art massively multilingual zero-shot text-to-speech (TTS) model supporting over 600 languages.
🌉 At its core lies a novel hybrid architecture where the Language Model (LM) functions as an omni-capable planner: it transforms simple user queries into comprehensive song blueprints—scaling from short loops to 10-minute compositions—while synthesizing metadata, lyrics, and…
You can try our application out using either of the following demos:
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable bestskill.md artifacts.
IndexTTS is a zero-shot text-to-speech system that clones a voice from a single reference audio clip.
Easily train a good VC model with voice data <= 10 mins!
T RELLIS is a large 3D asset generation model. It takes in text or image prompts and generates high-quality 3D assets in various formats, such as Radiance Fields, 3D Gaussians, and meshes.
Windows application for applying a DLSS 5 Neural Rendering feature-18 pipeline to images and video, NVIDIA DLSS Frame Generation to video frame interpolation, and DLSS 5 Neural Rendering during Live video playback through a local Gradio interface.
If your system is very new, you need to install python3.11 or python3.10:
Learn to build modern AI systems from the ground up through hands-on implementation
A Powerful Open Source Video Translation / Audio Transcription / AI Dubbing / Subtitle Translation Tool
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
OBLITERATUS is the most advanced open-source toolkit for understanding and removing refusal behaviors from large language models — and every single run makes it smarter.
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3B model is capable of generating videos at 720P resolution. However, due to limited training at this resolution, the results are generally less stable compared to 480P. For optimal performance, we recommend using 480P resolution.
Generate audiobooks from e-books, voice cloning & 1158+ languages!
🍔 In addition, ms-swift integrates the latest training technologies, including Megatron parallelism techniques such as TP, PP, CP, EP to accelerate training, as well as numerous GRPO algorithm family reinforcement learning algorithms including: GRPO, DAPO, GSPO, SAPO, CISPO…
Before using the models, please request access to the checkpoints here. Once your request is approved, you can download the checkpoints. Please note that access requests are reviewed by an automated process based on the information provided in the request.
This work presents Depth Anything 3 (DA3), a model that predicts spatially consistent geometry from arbitrary visual inputs, with or without known camera poses.
Then, install the corresponding torch version. Here are examples for different CUDA versions. Visit the PyTorch Official Website for installation commands if your CUDA version is not listed:
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
An open-source, tool-augmented conversational language model from Fudan University
Run this so the environment variable will be set under current shell.
Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.