Image-generation build: 16GB for Stable Diffusion and FLUX
Image generation asks different things of a machine than a language model. A fast 16GB card handles SDXL and FLUX comfortably, and prioritises the bandwidth and compute that keep generation quick.
Key hardware
A machine for image generation has different priorities from one built for language models. Model weights are smaller, so raw VRAM capacity matters less, while compute and memory bandwidth, which set how fast an image renders, matter more. A fast 16GB card is the sweet spot.
Who it is for
People whose main interest is local image generation with Stable Diffusion and FLUX, rather than running large language models. It pairs with the local image generation guide.
The key part
An RTX 4080 Super or the slightly cheaper RTX 4070 Ti Super brings 16GB of memory and strong Ada compute. 16GB is ample for SDXL and comfortably handles the larger FLUX models, while the bandwidth keeps generation quick. Run it through ComfyUI, AUTOMATIC1111, or InvokeAI.
What it runs
- SDXL with the full ecosystem of fine-tunes, LoRAs, and ControlNets
- FLUX.1 schnell and dev for higher quality
- Video models like LTX-Video at modest settings
The trade-offs
16GB is generous for image work but limits how much you could do with language models on the same machine, so this is a build for a particular purpose. If you want one machine for both, a 24GB card is the more flexible choice, at some cost to value.
Build last reviewed 18 August 2026.