Nodes to run Hunyuan Image 3 locally with BF16 and NF4 quantized options in Comfyui

Predictive VRAM Virtualization Engine

About LoRA Lens v1.6: Multiply your AI's intelligence by compressing LoRAs by up to 94% to load more specialized knowledge into your VRAM simultaneously. Introducing .loradb database format specifically for LoRAs for further reduction.

INT8 Sparse Tensor Core GEMM for PyTorch — built for Windows

Know before you train — VRAM estimation for LLM fine-tuning.

LEMA (Layer-wise Efficient Memory Abstraction): A hardware-aware framework for fine-tuning LLMs in VRAM-constrained environments using asynchronous binary pre-fetching and triple-tier memory orchestration.

A Proof of Concept for the LEMA (Layer-wise Efficient Memory Abstraction) framework. Enables stable fine-tuning of Llama-2-7B on consumer-grade hardware (16GB VRAM) through layer-wise weight streaming and triple-buffer memory virtualization.

🔄 Transform your GPU's VRAM limits with SynapSwap, a predictive virtualization engine that runs large AI models on consumer hardware effortlessly.