Quick Answer

A local AI and Stable Diffusion build under R20,000 for Mogale City centres on an RTX 4060 Ti 16GB, which runs SDXL comfortably and generates a standard image in a handful of seconds. Sample split: GPU R11,000, CPU (Ryzen 5 7600) R4,500, 16GB DDR5 R900, 1TB NVMe R1,200, plus board, PSU, and case. Mogale City's West Rand location often means courier delivery in 2 to 4 working days.

Why VRAM Leads This Build

Stable Diffusion scales with VRAM, so the budget concentrates on the GPU. The RTX 4060 Ti 16GB (around R11,000) handles SDXL at standard and high resolution plus ControlNet stacks, far more headroom than an 8GB card. A Ryzen 5 7600, 16GB system RAM, and a 1TB NVMe round it out; checkpoints run 2GB to 7GB each, so storage fills quickly.

What It Generates

With 16GB VRAM, SDXL images render in a few seconds and larger batches fit in memory. Tools like Automatic1111 and ComfyUI run locally and use the full card. This is the most VRAM you can sensibly buy under R20,000 for image generation.

Drivers And First Setup

The PC ships assembled and tested, so install the current NVIDIA driver, then ComfyUI or Automatic1111, before downloading checkpoints. A clean CUDA setup is what lets the RTX card hit full SDXL speed from the first run.

FAQ

Why choose the RTX 4060 Ti 16GB for Stable Diffusion?

Its 16GB of VRAM handles SDXL, large batches, and ControlNet far better than an 8GB card, and it is the most VRAM available near this price under R20,000.

Do I need 32GB of system RAM for Stable Diffusion?

Not necessarily. 16GB system RAM is fine since image generation leans on GPU VRAM. Add 32GB later if you also run heavy local LLMs alongside it.

How fast is delivery to Mogale City?

Mogale City's West Rand location near Joburg often means 2 to 4 working days by courier from Evetech for an assembled, tested PC.

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