Can NVIDIA RTX 6000 Ada run Stable Diffusion 3.5 Large?
8B parameter Image Gen model on 48GB GDDR6 ECC
VRAM Requirements
Stable Diffusion 3.5 Large is a 8B parameter model. At full precision (FP16), it requires 18GB of VRAM. Your NVIDIA RTX 6000 Ada has 48GB — enough to run it without any quantization.
Maximum quality, no quantization
Near-lossless, ~50% size reduction
Good quality, ~75% size reduction
Recommended system RAM: 96GB DDR5 (2x GPU VRAM minimum for model overflow)
What This Means in Practice
NVIDIA RTX 6000 Ada runs Stable Diffusion 3.5 Large 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 3.5 Large weights from HuggingFace and place them in ComfyUI/models/. The model is approximately 18GB 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 6000 Ada Specs
Other GPUs That Run Stable Diffusion 3.5 Large
Other Image Gen Models on NVIDIA RTX 6000 Ada
About Stable Diffusion 3.5 Large
Latest SD architecture. Better quality than SDXL, slightly more VRAM hungry.