How to Install Flux Krea GGUF | Full Local Setup for Any Low VRAM GPU (ComfyUI + Demo)

⚡ Flux Krea is one of the most advanced open-source diffusion models for AI image and video generation.
In this tutorial, I’ll show you how to install and run Flux Krea GGUF inside ComfyUI, perfectly optimized for low-VRAM GPUs (6–12 GB).
No cloud GPUs needed — everything runs locally, smooth and efficient.

💡 In this video, you’ll learn:

How to install and configure ComfyUI for Flux Krea GGUF

Where to place model files (diffusion, VAE, and text encoder)

How to optimize settings for low VRAM (8 GB / 10 GB / 12 GB)

How to generate cinematic images and short AI clips

How to fix CUDA memory and node errors

⚙️ System Requirements:

Python 3.10 or higher

Git

ComfyUI (latest build)

Flux Krea GGUF model (Q3_K_S ≈ 8.8 GB or Q2_K ≈ 6.9 GB)

FFmpeg (optional for video output)

GPU with 6–12 GB VRAM


🎨 Output: High-quality AI images and short video clips generated with Flux Krea GGUF, running smoothly even on low-VRAM GPUs.
💬 Comment below if you want a full guide on Flux Krea + WAN 2.2 video workflow next.
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