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Can I run SD 1.5 on NVIDIA RTX 4090?

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Perfect

Yes, you can run this model!

GPU VRAM

24.0GB

Required

4.0GB

Headroom

+20.0GB

VRAM Usage

0GB 17% used 24.0GB

Performance Estimate

Tokens/sec ~90.0

Batch size 32

info Technical Analysis

NVIDIA RTX 4090 provides excellent compatibility with SD 1.5. With 24.0GB of VRAM and only 4.0GB required, you have 20.0GB of headroom for comfortable inference. This allows for extended context lengths, batch processing, and smooth operation.

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You can run SD 1.5 on NVIDIA RTX 4090 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 1.5 on NVIDIA RTX 4090? expand_more

NVIDIA RTX 4090 has 24.0GB VRAM, which provides 20.0GB of headroom beyond the 4.0GB required by SD 1.5 (0.98B). This is plenty of room for comfortable inference with room for KV cache, batching, and extended context lengths.

How much VRAM does SD 1.5 need? expand_more

SD 1.5 requires approximately 4.0GB of VRAM.

What performance can I expect? expand_more

Estimated 90 tokens per second.