Can NVIDIA RTX 4000 Ada run Stable Diffusion XL?
6.6B parameter Image Gen model on 20GB GDDR6
VRAM Requirements
Stable Diffusion XL is a 6.6B parameter model. At full precision (FP16), it requires 16GB of VRAM. Your NVIDIA RTX 4000 Ada has 20GB — enough to run it without any quantization.
Maximum quality, no quantization
Near-lossless, ~50% size reduction
Good quality, ~75% size reduction
Recommended system RAM: 40GB DDR5 (2x GPU VRAM minimum for model overflow)
What This Means in Practice
NVIDIA RTX 4000 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.txtComfyUI 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.pyOpen http://localhost:8188 in your browser. You can use the full precision weights.
NVIDIA RTX 4000 Ada Specs
Other GPUs That Run Stable Diffusion XL
Other Image Gen Models on NVIDIA RTX 4000 Ada
About Stable Diffusion XL
Workhorse image gen model. 8GB minimum, 12GB+ recommended.