The video/image synthesis research sector regularly outputs video-editing* architectures, and over the last nine months, ...

SVDQuant is a post-training quantization technique for 4-bit weights and activations that well maintains visual fidelity. On 12B FLUX.1-dev, it achieves 3.6× memory reduction compared to the BF16 ...

To alleviate this problem, we apply Low Rank Adaptation (LoRA) to freeze most of the pre-trained model weights and inject the trainable rank decomposition matrices into each layer of the Transformer ...

Learn how to create lifelike AI avatar videos with diffusion models, fine-tuning techniques, and optimized training ...

mLoRA (a.k.a Multi-LoRA Fine-Tune) is an open-source framework designed for efficient fine-tuning of multiple Large Language Models (LLMs) using LoRA and its variants. Key features of mLoRA include: ...

Recent advancements in deep learning, particularly in transformer-based architectures and diffusion models, have propelled this progress. However, training these ...

Semtech LR2021 “LoRa Plus” transceiver supports LoRa Gen 4, Amazon Sidewalk, Meshtastic, wM-BUS, Wi-SUN FSK, and Z-Wave Semtech LR2021, the first chip in the LoRa Plus family, supports LoRa Gen 4 ...