Can NVIDIA RTX 4500 Ada run FLUX.1 Dev?

12B parameter Image Gen model on 24GB GDDR6 ECC

Yes — runs at 8-bit quantization
~2.4-3.3 img/min
SpeedFast inference, near-native speed
QualityNear-lossless — virtually identical to FP16

VRAM Requirements

FLUX.1 Dev is a 12B parameter model. At full precision (FP16), it requires 32GB of VRAM. Your NVIDIA RTX 4500 Ada has 24GB, so you'll need to quantize it to 8-bit (Q8) to fit.

FP16 (Full Precision)32GB (need 8GB more)

Maximum quality, no quantization

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

Near-lossless, ~50% size reduction

Q4 (4-bit)10GB (14GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 24GB GDDR6 ECC at 432 GB/s bandwidth
Recommended system RAM: 48GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

FLUX.1 Dev at 8-bit precision on NVIDIA RTX 4500 Ada produces images virtually identical to full precision. Generation speed is fast and you'll have some VRAM headroom for larger batch sizes or higher resolutions.

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 4500 Ada Specs

VRAM24GB GDDR6 ECC
Memory Bandwidth432 GB/s
TDP210W
CUDA Cores7,680
Street Price~$2100
AI Rating8/10

About FLUX.1 Dev

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

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