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Can the NVIDIA GeForce RTX 5090 run FLUX.1 [dev]?

89 ptsExcellent (S) · 89 of 100 points: Model quality 35.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.1/15

Yes, it runs well

Runs well. At FP8 it needs about 19.6 GB of 32.0 GB usable, with an estimated speed of 9.0 s.

Best precision
FP8
Memory mode
Everything on GPU
Time per image
9.0 s
Output
1024×1024, 28 steps

Download FLUX.1 [dev]

Quantized files · GGUF for ComfyUI

Smaller GGUF versions for ComfyUI (with the ComfyUI-GGUF node). No sign-in needed; the model’s license still applies.

huggingface.co/city96/FLUX.1-dev-gguf (opens in a new tab)

Original weights · Hugging Face

Full-precision files from Black Forest Labs, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/black-forest-labs/FLUX.1-dev (opens in a new tab)

Free Hugging Face account needed: accept the license on the model page and the download starts right away.

Official repo · GitHub

Reference code, inference scripts and docs from Black Forest Labs. The weights themselves download from Hugging Face.

github.com/black-forest-labs/flux (opens in a new tab)

git clone https://github.com/black-forest-labs/flux

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

How the S grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.35.3 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.15.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.14.1 / 15
Total89.4 / 10089 ptsExcellent (S) · 89 of 100 points: Model quality 35.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.1/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every precision on the NVIDIA GeForce RTX 5090

Precision Memory needed Available Time per output Memory mode Fit Grade · points Download
FP16 26.6 GB 32.0 GB 11 s Text encoder offloaded Runs well 85 ptsExcellent (S) · 85 of 100 points: Model quality 36.0/45, Memory fit 20.0/25, Speed 14.6/15, Memory use 15.0/15 Original weights (opens in a new tab)
FP8 19.6 GB 32.0 GB 9.0 s Everything on GPU Runs well 89 ptsExcellent (S) · 89 of 100 points: Model quality 35.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.1/15 Original weights (opens in a new tab)
Q8 GGUF 20.4 GB 32.0 GB 12 s Everything on GPU Runs well 89 ptsExcellent (S) · 89 of 100 points: Model quality 35.6/45, Memory fit 25.0/25, Speed 14.0/15, Memory use 14.7/15 GGUF (opens in a new tab)
Q4 GGUF 14.8 GB 32.0 GB 12 s Everything on GPU Runs well 82 ptsGreat (A) · 82 of 100 points: Model quality 33.5/45, Memory fit 25.0/25, Speed 13.7/15, Memory use 10.7/15 GGUF (opens in a new tab)
NF4 14.4 GB 32.0 GB 11 s Everything on GPU Runs well 83 ptsGreat (A) · 83 of 100 points: Model quality 33.5/45, Memory fit 25.0/25, Speed 14.3/15, Memory use 10.4/15 Original weights (opens in a new tab)

Other hardware that runs it

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.