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diffusers InstantID + ControlNet inspired by face-to-many from fofr (https://x.com/fofrAI) - a localized Version of https://huggingface.co/spaces/multimodalart/face-to-all

Collection of the best Applio plugins.

Fair-code workflow automation platform with 400+ integrations and native AI capabilities

[NVIDIA ONLY] Gradio demo for Flux Kontext based on Diffusers with single and multiple images.

AudioX Diffusion Transformer for Anything-to-Audio Generation

Contribute to remphanstar/long-nose development by creating an account on GitHub.

AudioBook Reader - Aplicação completa para conversão de livros em audiobooks com TTS em português brasileiro usando Coqui XTTS-v2 e F5-TTS

User-friendly WebUI for LLMs, supported LLM runners include Ollama and OpenAI-compatible APIs https://github.com/open-webui/open-webui

Have a natural, spoken conversation with AI!

Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated.

[TMLR 2025] Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields

Open dubbing is an AI dubbing system which uses machine learning models to automatically translate and synchronize audio dialogue into different languages.

Contribute to yashtanwar17/AI-Video-Maker-Offline- development by creating an account on GitHub.

Official Pytorch Implementation for "Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer""

a local-install interface that allows you to interact with text generation AIs (LLMs) to chat and roleplay with custom characters. https://docs.sillytavern.app/

High-performance Text-to-Speech server with OpenAI-compatible API, 8 voices, emotion tags, and modern web UI. Optimized for RTX GPUs.

🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

A privacy-focused tutoring assistant that explains concepts step-by-step and generates quizzes (MCQs). Works 100% offline with Ollama (Gemma/Llama3).

Professional trading journal to track, analyze and improve your trading performance across different systems and timeframes.

[ICCV 2025] STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution