image model · flux · Windows
Can I run FLUX.1 dev on Nvidia GeForce RTX 2060 (6GB)?
Needs ~6.5 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 ~3 GB, much slower.
Needs ~6.5 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 ~3 GB, much slower.
The gap is about 1.5 GB: FLUX.1 dev needs roughly 6.5 GB and Nvidia GeForce RTX 2060 (6GB) leaves only about 5 GB usable for a model. The lightest tracked hardware that runs FLUX.1 dev is the Nvidia GeForce RTX 3060 Ti (8GB) at 8 GB. See FLUX.1 dev on Nvidia GeForce RTX 3060 Ti (8GB).
- Peak VRAM
- ~6.5 GB
- Usable on device
- ~5 GB
- Device memory
- 6 GB
- Quant
- Q4 GGUF
- Type
- image (DIT)
- Parameters
- 12B
- Peak VRAM
- ~6.5 GB at Q4 GGUF
- Resolution
- 1024×1024
- License
- FLUX.1-dev Non-Commercial License
- Memory
- 6 GB vram
- Usable for weights
- ~5 GB
- Power draw
- ~160 W
- Best runtime
- Ollama (CUDA) / llama.cpp CUDA
What you can run instead
Run FLUX.1 dev on other hardware
FAQ
Can Nvidia GeForce RTX 2060 (6GB) run FLUX.1 dev?
Needs ~6.5 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 ~3 GB, much slower.
How much VRAM does FLUX.1 dev need?
Nvidia GeForce RTX 2060 (6GB) does not have enough memory. At Q4 GGUF the realistic peak is ~6.5 GB of VRAM, versus ~33 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~3 GB, much slower.
What do I use to run FLUX.1 dev locally?
FLUX.1 dev 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, validated 2026-09-14. See methodology.