Can NVIDIA GeForce RTX 5090 run FLUX.1 Dev?

12B parameter Image Gen model on 32GB GDDR7

Yes — runs at full precision
~5.1-7 img/min
SpeedFastest possible inference
QualityMaximum quality, no degradation

VRAM Requirements

FLUX.1 Dev is a 12B parameter model. At full precision (FP16), it requires 32GB of VRAM. Your NVIDIA GeForce RTX 5090 has 32GB — enough to run it without any quantization.

FP16 (Full Precision)32GB (0GB free)

Maximum quality, no quantization

Q8 (8-bit)16GB (16GB free)

Near-lossless, ~50% size reduction

Q4 (4-bit)10GB (22GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 32GB GDDR7 at 1792 GB/s bandwidth
Recommended system RAM: 64GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

NVIDIA GeForce RTX 5090 runs FLUX.1 Dev at full precision with room to spare. You can generate high-resolution images, use complex prompts, and batch multiple generations. Expect fast generation times at 1024x1024 and above.

How to Set It Up

Step 1: Install ComfyUI

git clone https://github.com/comfyanonymous/ComfyUI.git && cd ComfyUI && pip install -r requirements.txt

ComfyUI is the recommended UI for Stable Diffusion and FLUX models.

Step 2: Download the model

Download FLUX.1 Dev weights from HuggingFace and place them in ComfyUI/models/. The model is approximately 32GB at full precision.

Step 3: Launch and generate

python main.py

Open http://localhost:8188 in your browser. You can use the full precision weights.

NVIDIA GeForce RTX 5090 Specs

VRAM32GB GDDR7
Memory Bandwidth1792 GB/s
TDP575W
CUDA Cores21,760
Street Price~$2800
AI Rating10/10

Other Image Gen Models on NVIDIA GeForce RTX 5090

About FLUX.1 Dev

State-of-the-art image generation. 16GB comfortable at FP8.

Category: Image Gen · Parameters: 12B · CUDA required: Recommended