ArsMachina/Super Simple GGUF (Quantized) Flux LoRA Workflow

If your VRAM is insufficient for Flux, you need to run a quantized version. This is a really simple workflow with LoRA load and upscale. Keep in mind that the quantized versions need slightly higher strength values than the normal ones. This workflow is based on the GGUF model loader in ComfyUI: https://github.com/city96/ComfyUI-GGUF . Update: Added upgraded " Simple " version. It will requre 2 Custom Nodes to be installed. What is differrent in it: Added Multi-LoRA suppor with the rgthree LoRA stacker. This is the best pick for low end video cards I've been able to find. Added Civit-AI friend

<iframe src="https://silytics.si/embed/item/4fa1c369-baa8-4eaa-9b13-b9b17cda1205" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Civitai and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.