Can NVIDIA GeForce RTX 5090 run Stable Diffusion 3.5 Large?
8B parameter Image Gen model on 32GB GDDR7
VRAM Requirements
Stable Diffusion 3.5 Large is a 8B parameter model. At full precision (FP16), it requires 18GB of VRAM. Your NVIDIA GeForce RTX 5090 has 32GB — enough to run it without any quantization.
Maximum quality, no quantization
Near-lossless, ~50% size reduction
Good quality, ~75% size reduction
Recommended system RAM: 64GB DDR5 (2x GPU VRAM minimum for model overflow)
What This Means in Practice
NVIDIA GeForce RTX 5090 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 GeForce RTX 5090 Specs
Other GPUs That Run Stable Diffusion 3.5 Large
Other Image Gen Models on NVIDIA GeForce RTX 5090
About Stable Diffusion 3.5 Large
Latest SD architecture. Better quality than SDXL, slightly more VRAM hungry.