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Oct 9Fri
  1. Comfy Blog70

    How to use MiniMax H3 to generate real-time video on a single GPU

    Using the FastVideo FastH3 V2 checkpoint, it generates 15-second 448×256 resolution video on a single RTX 5090 GPU through optimizations like four-step sampling, sparse attention, small text encoders, small checkpoints, and fused FP4 MLP. VRAM requirements are reduced from 80GB to <30GB; this custom Comfy node is open-sourced and can be deployed by requesting GPU and models via Comfy API.

Oct 8Thu
Sep 25Fri
  1. Amazon Science

    Reactor and Amazon Neuron Science jointly optimize the Rolling Forcing model to achieve real-time video generation on Trainium

    Reactor and Amazon Neuron Science jointly optimize the Rolling Forcing model to achieve real-time video generation on Trainium, which combines the sequence prediction of large language models with the iterative optimization of diffusion models, running at 16 FPS standard video frame rate, generating 30-second high-quality videos through Rolling Forcing technology, and achieving low latency, high-efficiency real-time video generation on Trainium.

Sep 12Sat
Jul 31Fri
Jul 28Tue
  1. MiniMax · Hugging Face new models

    MiniMax-H3 released: A general multimodal generation system.

    MiniMax-H3 is a general multimodal generation system that supports unified understanding of text, images, video, and audio, capable of generating video with up to 2K resolution and up to 15 seconds of stereoscopic audio. Its H3-Context-IR module is used for deep understanding of input commands and converting them into an intermediate representation understandable by H3-Base, but it is not open source. The H3-Base and H3-Regenerate-2K modules are responsible for audio and video generation at 768p and 2K resolutions, respectively; the former is open source, while the latter requires API calls.

Jul 7Tue