GPUs/NVIDIA RTX 4500 Ada/Stable Diffusion XL

Can NVIDIA RTX 4500 Ada run Stable Diffusion XL?

6.6B parameter Image Gen model on 24GB GDDR6 ECC

Yes — runs at full precision
~2.4-3.3 img/min
SpeedFastest possible inference
QualityMaximum quality, no degradation

VRAM Requirements

Stable Diffusion XL is a 6.6B parameter model. At full precision (FP16), it requires 16GB of VRAM. Your NVIDIA RTX 4500 Ada has 24GB — enough to run it without any quantization.

FP16 (Full Precision)16GB (8GB free)

Maximum quality, no quantization

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

Near-lossless, ~50% size reduction

Q4 (4-bit)6GB (18GB 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

NVIDIA RTX 4500 Ada runs Stable Diffusion XL 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 Stable Diffusion XL weights from HuggingFace and place them in ComfyUI/models/. The model is approximately 16GB 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

Other Image Gen Models on NVIDIA RTX 4500 Ada

About Stable Diffusion XL

Workhorse image gen model. 8GB minimum, 12GB+ recommended.

Category: Image Gen · Parameters: 6.6B · CUDA required: Recommended