Skip to content
localmodel.run

image model · stable-diffusion · Windows

Can I run Stable Diffusion 3.5 Large on Nvidia GeForce RTX 2060 (6GB)?

Compatibility verdict VRAM check
No, not enough memory would not load

Needs ~7 GB at Q4 GGUF, but only ~5 GB is usable on Nvidia GeForce RTX 2060 (6GB). With aggressive CPU offload it can run on as little as ~5 GB, much slower.

Needs ~7 GB Device usable ~5 GB

Needs ~7 GB at Q4 GGUF, but only ~5 GB is usable on Nvidia GeForce RTX 2060 (6GB). With aggressive CPU offload it can run on as little as ~5 GB, much slower.

The gap is about 2 GB: Stable Diffusion 3.5 Large needs roughly 7 GB and Nvidia GeForce RTX 2060 (6GB) leaves only about 5 GB usable for a model. The lightest tracked hardware that runs Stable Diffusion 3.5 Large is the Nvidia GeForce RTX 3060 Ti (8GB) at 8 GB. See Stable Diffusion 3.5 Large on Nvidia GeForce RTX 3060 Ti (8GB).

Peak VRAM
~7 GB
Usable on device
~5 GB
Device memory
6 GB
Quant
Q4 GGUF
Share on X Share on Reddit
Model stable-diffusion
Type
image (MMDIT)
Parameters
8.1B
Peak VRAM
~7 GB at Q4 GGUF
Resolution
1024×1024
License
Stability Community License
Full Stable Diffusion 3.5 Large requirements →
Device Windows
Memory
6 GB vram
Usable for weights
~5 GB
Power draw
~160 W
Best runtime
Ollama (CUDA) / llama.cpp CUDA
Best models for Nvidia GeForce RTX 2060 (6GB) →

What you can run instead

Run Stable Diffusion 3.5 Large on other hardware

Nvidia GeForce RTX 3060 Ti (8GB)Nvidia GeForce GTX 1070 (8GB)Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)iPhone 17 ProiPhone Air

FAQ

Can Nvidia GeForce RTX 2060 (6GB) run Stable Diffusion 3.5 Large?

Needs ~7 GB at Q4 GGUF, but only ~5 GB is usable on Nvidia GeForce RTX 2060 (6GB). With aggressive CPU offload it can run on as little as ~5 GB, much slower.

How much VRAM does Stable Diffusion 3.5 Large need?

Nvidia GeForce RTX 2060 (6GB) does not have enough memory. At Q4 GGUF the realistic peak is ~7 GB of VRAM, versus ~19 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~5 GB, much slower.

What do I use to run Stable Diffusion 3.5 Large locally?

Stable Diffusion 3.5 Large runs in ComfyUI or Draw Things (among others). It loads as a diffusion checkpoint plus its text encoder and VAE, not a single chat command.

Sources

VRAM figures are sourced peak-usage anchors at the noted quant; catalog updated 2026-10-05. See methodology.