Stable Diffusion 3.5 Large on NVIDIA GeForce RTX 3090
Yes — RTX 3090 runs Stable Diffusion 3.5 Large excellently at FP16 — ~4s first response. 24 GB VRAM with plenty of headroom.
Model Size
8.1B
Device VRAM
24 GB
Bandwidth
936 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for Stable Diffusion 3.5 Large on NVIDIA GeForce RTX 3090 at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | 4000ms | ✓ Yes | Excellent | estimated |
Notes
FP16
936 GB/s. ~4s per image. 24GB fits FP16 with 11GB headroom.
About Stable Diffusion 3.5 Large
Stable Diffusion 3.5 Large (8.1B) is a image gen model. Latest Stable Diffusion architecture with significantly improved prompt adherence, typography, and composition over SDXL. Higher VRAM requirement (12GB+ at FP16) but produces noticeably better images. The current standard for local image generation.
View all Stable Diffusion 3.5 Large hardware options →About NVIDIA GeForce RTX 3090
NVIDIA GeForce RTX 3090 has 24 GB at 936 GB/s. Street price: $899.
See all models NVIDIA GeForce RTX 3090 can run →Builds with NVIDIA GeForce RTX 3090
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Estimate method: Performance estimates based on model size and device bandwidth. Reference hardware source: github.com (2026-03-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.