Captures synchronized multimodal embodied-human data in real homes — egocentric and multi-view video, metric body/hand/object motion, audio, and tactile signals. Released under a gated non-commercial research license with identifiable participants and strict non-redistribution/privacy constraints.
An end-to-end 11B full-duplex speech model for real-time conversational AI that jointly performs streaming speech understanding and generation, enabling ~450 ms turn-taking, barge‑in and live tool calling in a single unified architecture; research use only.
Retrieves short speech segments from MEG recordings with a compact interpretable neural decoder trained against wav2vec 2.0 embeddings, and maps decoder weights to cortical source space to reveal which acoustic and linguistic features drive retrieval.
Provides GGUF-quantized, ComfyUI-ready MiniMax‑H3 model files (FL2VA/REF2VA, text encoder, audio/video VAEs) to enable local ComfyUI inference for short video + stereo audio generation; requires the official VAEs and sufficient VRAM.
Installation-oriented dataset that packages ComfyUI-ready files and instructions for running MiniMax H3 locally — includes pruned/INT8/BF16 checkpoints, matching Qwen3-VL text encoders, video/audio VAEs, and official ComfyUI workflow templates for joint audio+video generation.
Supervises audio reasoning by generating per-sample, audio-grounded rubrics that evolve with model rollouts and serve as reinforcement-learning rewards, improving perception and adaptive multi-step reasoning while avoiding reward saturation.
Generates multi‑speaker speech and environmental audio from textual instructions or a reference clip, supporting zero‑shot voice cloning and detailed scene/specification control. Combines a cleaned, captioned dataset with a VAE-based multimodal generator, reward-conditioned quality control, and staged training to improve expressiveness and multi-audio modeling.
Generates short videos with stereo audio from text prompts using a MiniMax‑H3 checkpoint; community‑uploaded on Hugging Face and distributed under Apache‑2.0. Tuned toward stylized creature and floral visuals and updated frequently per the model card.
A LoRA adapter for MiniMax-H3 that enables joint video + synchronized stereo audio generation in as few as 4 sampler steps, cutting sampling time roughly ~5×; early prototype under-trained, so 6–8 steps or newer checkpoints give better sharpness.
Provides ComfyUI-compatible pruned/curve-form LoRA conversions of the MiniMax‑H3 Turbo 4-step audio‑video generation preview, including further-trained ckpt500 EMA and non‑EMA variants and an example ComfyUI workflow for low-step experiments.
Packaged diffusers checkpoint of MiniMax H3 for image/text-to-short-video generation with native stereo audio; provided for direct use in diffusers image-to-video pipelines and aimed at easy integration into prototyping and production workflows.
Provides ComfyUI-compatible conversions and LoRA adapters of the MiniMax‑H3 video+audio generative model, with example presets and demo videos to run short stereo audio+video inference inside ComfyUI workflows.