anil-matcha/ai-youtube-shorts-generatorupdated 2mo ago
Open-source alternative to Opus Clip, Vidyo.ai, Klap & SubMagic. Turn long-form YouTube videos into viral 9:16 shorts using LLM highlight detection, Whisper transcription, and auto vertical cropping — free, no watermarks, no per-clip credits.
NocoBase is an open-source AI + no-code platform for building business systems fast. Instead of generating everything from scratch, AI works on top of production-proven infrastructure and a WYSIWYG no-code interface, so you get both speed and reliability.
Free open-source Opus Clip alternative for ComfyUI — AI video clipping nodes that turn long-form videos / podcasts / interviews into ranked viral short clips for YouTube Shorts, TikTok, Instagram Reels. Server-side Whisper, virality ranking, dedupe, and face-tracked auto-crop via muapi.ai.
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.
Upload a clear picture of the person you want to change and another image containing the face you want to insert. Press the “Swap Faces” button and the app will blend the new face onto the original...
RasputinKaiser/OpenEval.Pinokiov7.0updated 2mo ago
Local-first evaluation dashboard for agent CLIs with deterministic graders, live trace telemetry, and accuracy audits. https://github.com/RasputinKaiser/OpenEval
Branded text-to-video studio for long-form documentary YouTube videos. Local LLM scripts via LM Studio, web image sourcing with lightweight AI recreation (uniform 1080p, watermark/text removal), local Kokoro TTS narration, cinematic Ken Burns rendering, automatic GPU load/unload, and a modern web UI to manage everything.
Describe an image, get a 100% schema-valid Ideogram 4 JSON prompt — generated fully locally with an embedded llama.cpp (no Ollama or LM Studio required).
nomadkaraoke/python-audio-separatorupdated 2mo ago
Easy to use stem (e.g. instrumental/vocals) separation from CLI or as a python package, using a variety of amazing pre-trained models (primarily from UVR)