NelsaHost

Hardware AI Models Compatibility Compare

search Login

Can I run SDXL 1.0 on NVIDIA RTX 3060 Ti?

warning

Marginal

Yes, you can run this model!

GPU VRAM

8.0GB

Required

8.0GB

Headroom

+0.0GB

VRAM Usage

0GB 100% used 8.0GB

Performance Estimate

Tokens/sec ~30.0

info Technical Analysis

NVIDIA RTX 3060 Ti can run SDXL 1.0, but it will be tight. With 8.0GB VRAM and 8.0GB required, you only have 0.0GB of headroom. Memory optimization will be necessary.

lightbulb Recommendation

Enable memory optimizations like Flash Attention, reduce context length, and use batch size of 1. Consider using a more aggressive quantization for better performance.

tune Recommended Settings

Batch_Size

None

Context_Length

Inference_Framework

llama.cpp or vLLM

help Frequently Asked Questions

Can I run SDXL 1.0 on NVIDIA RTX 3060 Ti? expand_more

NVIDIA RTX 3060 Ti (8.0GB VRAM) can technically run SDXL 1.0 (6.60B) (8.0GB required), but with only 0.0GB headroom. You may need to reduce batch size, context length, or use optimizations like Flash Attention to avoid OOM errors.

How much VRAM does SDXL 1.0 need? expand_more

SDXL 1.0 requires approximately 8.0GB of VRAM.

What performance can I expect? expand_more

Estimated 30 tokens per second.