Can NVIDIA GeForce RTX 3070 run Stable Diffusion 3.5 Large?
8B parameter Image Gen model on 8GB GDDR6
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 3070 has 8GB, so you'll need to quantize it to 4-bit (Q4) to fit.
Maximum quality, no quantization
Near-lossless, ~50% size reduction
Good quality, ~75% size reduction
Recommended system RAM: 32GB DDR5 (2x GPU VRAM minimum for model overflow)
What This Means in Practice
At 4-bit precision, Stable Diffusion 3.5 Large fits in VRAM but generation will be slower and you may need to limit resolution or batch size. Image quality is generally preserved at Q4, but very complex compositions may show minor artifacts.
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. Use the FP8/NF4 quantized version for your VRAM.
NVIDIA GeForce RTX 3070 Specs
Other GPUs That Run Stable Diffusion 3.5 Large
Other Image Gen Models on NVIDIA GeForce RTX 3070
About Stable Diffusion 3.5 Large
Latest SD architecture. Better quality than SDXL, slightly more VRAM hungry.