Radar

Bolt.new: AI-Powered Full-Stack Web Development in the Browser -- for Pinokio

Massively Multilingual Speech (MMS): Persian Text-to-Speech

Local-first AI video editor with optional native MiniMax H3 generation on Apple Silicon.

Stable Diffusion WebUI Forge is a platform on top of Stable Diffusion WebUI (based on Gradio) to make development easier, optimize resource management, and speed up inference. https://github.com/lllyasviel/stable-diffusion-webui-forge?tab=readme-ov-file

AI Browser

One-click launcher for the original HiDream-O1-Image web UI using lazy-downloaded drbaph Dev or Full FP8 checkpoints through a root FP8 runner. Requires an NVIDIA CUDA GPU.

A live 3D intelligence console for planet Earth.

Swap faces in photos and videos in seconds — no training required. Powered by InsightFace and ONNX, with optional TensorRT acceleration, multi-face targeting, enhancement pipelines, and a clean one-click interface.

Free unlimited AI text-to-speech - turn text files into Korean books (PDF + audiobook)

Industry leading face manipulation platform

[NVIDIA ONLY] AllTalk-TTS is a unified UI for E5-TTS, XTTS, Vite TTS, Piper TTS, Parler TTS and RVC, based on CoquiTTS, including a finetune mode.

Local AI voice assistant with wake word detection, screen vision, 31 tools, and Iron Man web UI. Fully offline — Whisper STT, Kokoro TTS, Ollama LLM.

Fast AI Video Generation per GPU poor (Wan2.1, Hunyuan, LTV). Gradio UI su http://127.0.0.1:7860

jarvAIs is a Python AutoML package for oncology datasets.

World Model - Image to Video (4-bit Quantized, ~20GB VRAM)

A Python framework for AI-driven character animation using neural networks.

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

Open Vocabulary Image Segmentation using Segment Anything Model and MetaCLIP combo

"AI-Trader: 100% Fully-Automated Agent-Native Trading"

Generate images with Z-Image, Flux2 Klein, Krea2. Upscale images and videos with SeedVR2 in a Gradio UI. Uses a built-in ComfyUI backend for speed and efficiency! [8GB+VRAM, 16GB+ RAM] (Python 3.11 version, also compatible with MacOS 27)