Apps

1-click MiniMax H3 video in ComfyUI plus H3 Studio: local T2V/I2V, references, continuation, Gallery, Director/Cinema and TR/EN. NVIDIA GPU.

YUE2 // GROOVE is the latest music studio built on the open-source Yue2 model and its inference stack. Generate high-quality full songs from style and lyrics with an editable score plan — powered by the latest YuE model — cover from audio with SheetSage2 and MERT2, refine and compare edits, and keep your works in a reusable, easy-to-manage library. You get high-quality creation with real creative control. Hardware: an NVIDIA GPU with 24 GB VRAM on Linux (YuE2's recommended setup, validated end-to-end on NVIDIA L4 hosts; a 16 GB memory budget runs everything the app can produce, and 12 GB runs the unquantized model at CFG 1.0 or for shorter songs) or an Apple Silicon Mac with 32 GB+ unified memory (where this app is developed and tested). Windows is best effort: install, launch, Cover and a full-length song verified on Windows 11 (RTX 2070, 8 GB); song generation there runs through the GGUF engine. Cards under 16 GB (and Windows) get the optional GGUF engine: the same model through yue2.cpp with an 8-bit backbone, 8.2 GB peak for a full song, measured indistinguishable from the reference rendering in a blind ABX, a different take for the same seed; the reference PyTorch configuration stays the default wherever it fits.

Mac-optimized YuE2 music generation using native MLX inference. Generate complete songs (melody, chords, vocals, accompaniment) from text prompts. Features an LLM Writing Room for lyric composition via OpenAI-compatible APIs (LM Studio, etc.). Pure Apple Silicon — no PyTorch needed.

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

Multi-voice text-to-speech for stories and audiobooks, with local and cloud TTS engines plus optional LLM text processing.

Super Optimized Gradio UI for AI video creation for GPU poor machines (6GB+ VRAM). Supports Wan 2.1/2.2, Qwen, Hunyuan Video, LTX Video and Flux. https://github.com/deepbeepmeep/Wan2GP

Uncensored deepfakes for images and videos, no training required. Advanced masking, batch processing, and face enhancement powered by InsightFace and ONNX. Supports NVIDIA (CUDA/TensorRT), AMD (DirectML/ROCm), Apple Silicon, and CPU.