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// RUN — FITS
Can the NVIDIA DGX Spark run Stable Diffusion XL (SDXL)?
Yes — here's how fast and up to what context, with real measured numbers.
Stable Diffusion XL (SDXL) on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1631k | 29.3-34.9 t/s | ~1.1-1.3 (slow) |
| Q8 | yes | 1683k | 58.6-69.9 t/s | ~2.1-2.6 (slow) |
| Q4 | yes | 1706k | 104.7-124.7 t/s | ~3.8-4.6 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA DGX Spark run Stable Diffusion XL (SDXL)?▶
Yes. At Q4 it generates ~104.7-124.7 tok/s and fits up to 1706k context; beyond that it spills to SSD swap and slows to ~3.8-4.6 tok/s.
How much context fits?▶
At Q4, up to about 1706k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.