SIMPLE FLUX GGUF WORKFLOW by weshouldhaveshotgunsThis GGUF version of my SIMPLE FLUX DEV WORKFLOW is designed to provide a straightforward, intuitive approach to using Flux in ComfyUI, with GGUF-quantized models. Built for compatibility with quantized versions of Flux, this version is optimized to run smoothly on GPUs with lower VRAM, while still retaining the simplicity and effectiveness of the original workflow.Like the original, this setup not only works well but also helps users understand what each node does and why it’s there, making it easier to customize and experiment. This version includes all the required files, a settings rundown, and best practices for resolutions and prompts, along with detailed guidance on how settings like FluxGuidance, steps, and samplers influence the output.What’s Different in the GGUF Version:<ul><li>Quantized Model Support: This version comes with instructions for retrieving quantized GGUF models, including recommendations for which model types best match different VRAM capacities, allowing users to optimize their setup for their specific hardware.</li></ul>Whether you’re new to AI art or have some experience, this GGUF-compatible workflow provides a solid foundation in Flux, enabling you to quickly become proficient while supporting advanced LoRA capabilities. It’s not the ultimate workflow—there’s always more to learn—but it’s well-optimized, thoughtfully organized, and a great starting point for both learning and creation with quantized models.v1.1 adds link for optional GGUF T5 encoders in required files note

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