wtf is comfyui_rebels_sefi?

This project adds custom building blocks, called nodes, to ComfyUI, a visual tool people use to build AI image generation pipelines. Specifically, it lets ComfyUI run an image generating AI model called SeFi-Image, in both a full quality version and a faster Turbo version, and it is built to work on modest hardware, as little as 8GB of graphics card memory and 16GB of system memory. The underlying model works by splitting its internal representation into two related streams, one handling overall structure and one handling fine detail, denoising them on slightly different timings so the structure settles first and detail fills in after. Only part of that representation actually gets turned into a final picture. The text prompt itself is understood by a separate text reading model called Qwen3-VL. To install, the user copies this folder into ComfyUI's custom nodes folder, restarts ComfyUI, and updates a few Python packages the newer model needs. Then they must separately download the actual model weight files, transformer, text encoder, and a matching VAE file, from Hugging Face, and place each into the correct ComfyUI models folder. The README stresses that the special VAE file made for this model must be used, since a generic substitute produces noticeably worse images. Inside ComfyUI, this adds a loader node with dropdown menus to pick the model files, and a sampler node with prompt, steps, guidance, size, and seed settings to actually generate images. The loader automatically manages how much of the model stays on the graphics card versus streams from system memory, based on how much free video memory it detects, so it can adapt itself to different hardware. Text encoding runs on the processor by default and is cached per prompt, so repeated use of the same prompt is much faster after the first run. A troubleshooting section covers common issues like missing files or outdated components. This is aimed at people already using ComfyUI for AI image generation who want to run this specific model efficiently on consumer grade hardware. The node pack and its included code are shared under the MIT license, but the actual model weight files carry a separate non-commercial license, so free personal or research use is allowed, but not for commercial products, unless the README's license terms are respected.