Comfyui VRAM tracker

Hello! VRAM tracker is a node that track the full memory lifecycle of a comfyui run: when each weight is reserved, paged into VRAM, computed on, evicted, and freed. It renders it as an interactive HTML report (with a timeline and you can search for specific layer) I did that because the current tool didn't had the granularity I needed. and I wanted to see how a model is allocated, what layer saturated the VRAM and how to fine-tune quantization on some model. It works on AMD and NVIDIA, it work best with aimdo enabled (comfyui memory manager) but can work without it. How it works? it will hook in memory the python function inside comfyui to log all memory event. At the end of the run the log will be parsed to render a comprehensive HTML visualizer (per run). The project is here, I take any feed back: https://github.com/PuppetMasterAI/comfyui-vram-tracker I coded this with the help of claude/qwen (I know how to code in python, have a bs in computer science and understand memory management, but with llm pulling this project was faster). submitted by /u/Puppet_Master_1337 [link] [comments]

Related

• Released a Safe Chunked Image Blend node for ComfyUI — explicit CUDA resize/blend instead of hidden full-batch CPU resizing
• Testing the newly released Microsoft Lens Turbo in my low vram GPU, it is good and it works very well
• Benchmark for SageAttention kernels using real attention shapes logged from ComfyUI models (image / video / audio)
• Trying to understand VRAM usage and find the sweet spot for Wan/SCAIL-2 (or other models) on a GPU

Source: r/StableDiffusion | 2026-08-02