Can NVIDIA RTX A6000 run FLUX.1 Dev?

12B parameter Image Gen model on 48GB GDDR6

Yes — runs at full precision
~2.1-2.9 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 RTX A6000 has 48GB — enough to run it without any quantization.

FP16 (Full Precision)32GB (16GB free)

Maximum quality, no quantization

Q8 (8-bit)16GB (32GB free)

Near-lossless, ~50% size reduction

Q4 (4-bit)10GB (38GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 48GB GDDR6 at 768 GB/s bandwidth
Recommended system RAM: 96GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

NVIDIA RTX A6000 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 RTX A6000 Specs

VRAM48GB GDDR6
Memory Bandwidth768 GB/s
TDP300W
CUDA Cores10,752
Street Price~$3800
AI Rating9/10

About FLUX.1 Dev

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

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