GPUs/NVIDIA GeForce RTX 5070 Ti/Stable Diffusion XL

Can NVIDIA GeForce RTX 5070 Ti run Stable Diffusion XL?

6.6B parameter Image Gen model on 16GB GDDR7

Yes — runs at full precision
~5.1-7 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 GeForce RTX 5070 Ti has 16GB — enough to run it without any quantization.

FP16 (Full Precision)16GB (0GB free)

Maximum quality, no quantization

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

Near-lossless, ~50% size reduction

Q4 (4-bit)6GB (10GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 16GB GDDR7 at 896 GB/s bandwidth
Recommended system RAM: 32GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

NVIDIA GeForce RTX 5070 Ti 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 GeForce RTX 5070 Ti Specs

VRAM16GB GDDR7
Memory Bandwidth896 GB/s
TDP300W
CUDA Cores8,960
Street Price~$850
AI Rating7/10

Other Image Gen Models on NVIDIA GeForce RTX 5070 Ti

About Stable Diffusion XL

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

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