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image model · flux · Linux

Can I run FLUX.1 dev on Nvidia DGX Spark (128GB)?

Compatibility verdict VRAM check
Yes, it runs fast on this GPU

Yes. FLUX.1 dev runs on Nvidia DGX Spark (128GB) at Q4 GGUF (~6.5 GB of ~112 GB usable).

Needs ~6.5 GB Device usable ~112 GB

Runs at Q4 GGUF using ~6.5 GB of ~112 GB usable.

Peak VRAM
~6.5 GB
Usable on device
~112 GB
Device memory
128 GB
Quant
Q4 GGUF
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How to run it

Use ComfyUI or Draw Things at Q4 GGUF. The big text encoder is loaded to encode your prompt, then offloaded before generation, which is why peak VRAM stays near the backbone size rather than the sum of every file.

Model flux
Type
image (DIT)
Parameters
12B
Peak VRAM
~6.5 GB at Q4 GGUF
Resolution
1024×1024
License
FLUX.1-dev Non-Commercial License
Full FLUX.1 dev requirements →
Device Linux
Memory
128 GB unified
Usable for weights
~112 GB
Power draw
~140 W
Best runtime
llama.cpp (CUDA) / Ollama (CUDA)
Best models for Nvidia DGX Spark (128GB) →

You could also run

Run FLUX.1 dev on other hardware

FAQ

Can Nvidia DGX Spark (128GB) run FLUX.1 dev?

Yes. FLUX.1 dev runs on Nvidia DGX Spark (128GB) at Q4 GGUF (~6.5 GB of ~112 GB usable).

How much VRAM does FLUX.1 dev need?

Nvidia DGX Spark (128GB) has room to spare. 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; catalog updated 2026-11-01. See methodology.