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Can I run SD 3 Medium on NVIDIA RTX 3090 Ti?

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Perfect

Yes, you can run this model!

GPU VRAM

24.0GB

Required

6.0GB

Headroom

+18.0GB

VRAM Usage

0GB 25% used 24.0GB

Performance Estimate

Tokens/sec ~90.0

Batch size 29

info Technical Analysis

NVIDIA RTX 3090 Ti provides excellent compatibility with SD 3 Medium. With 24.0GB of VRAM and only 6.0GB required, you have 18.0GB of headroom for comfortable inference. This allows for extended context lengths, batch processing, and smooth operation.

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You can run SD 3 Medium on NVIDIA RTX 3090 Ti without any compromises. Consider using full context length and larger batch sizes for optimal throughput.

tune Recommended Settings

Batch_Size

Context_Length

Inference_Framework

llama.cpp or vLLM

help Frequently Asked Questions

Can I run SD 3 Medium on NVIDIA RTX 3090 Ti? expand_more

NVIDIA RTX 3090 Ti has 24.0GB VRAM, which provides 18.0GB of headroom beyond the 6.0GB required by SD 3 Medium (2.00B). This is plenty of room for comfortable inference with room for KV cache, batching, and extended context lengths.

How much VRAM does SD 3 Medium need? expand_more

SD 3 Medium requires approximately 6.0GB of VRAM.

What performance can I expect? expand_more

Estimated 90 tokens per second.