Can NVIDIA A100 40GB run FLUX.1 Dev?

12B parameter Image Gen model on 40GB HBM2e

Yes — runs at full precision
~4.5-6.3 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 A100 40GB has 40GB — enough to run it without any quantization.

FP16 (Full Precision)32GB (8GB free)

Maximum quality, no quantization

Q8 (8-bit)16GB (24GB free)

Near-lossless, ~50% size reduction

Q4 (4-bit)10GB (30GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 40GB HBM2e at 1555 GB/s bandwidth
Recommended system RAM: 80GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

NVIDIA A100 40GB 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 A100 40GB Specs

VRAM40GB HBM2e
Memory Bandwidth1555 GB/s
TDP250W
CUDA Cores6,912
Street Price~$4500
AI Rating10/10

About FLUX.1 Dev

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

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