stable-diffusion-xl-base-1.0 vs Juggernaut-XL-v9
Specs, VRAM requirements and download trends — updated 10 November 2026.
stabilityai · A · Open weights
Params
2.6 B
Context
—
30d
4.6 M
openrail++ licence · conditional
RunDiffusion · B · Open weights
Params
—
Context
—
30d
579 K
creativeml-openrail-m licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | stable-diffusion-xl-base-1.0 | Juggernaut-XL-v9 |
|---|---|---|
| Parameters | 2.6 B | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | openrail++ | creativeml-openrail-m |
| Commercial use | Conditional | Conditional |
| Languages | — | 1 |
| Downloads 30d | 4,649,928 | 579,110 |
| Downloads all time | 131.4 M | 8.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-07-25 | 2024-02-18 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
4.7 M179 K
stable-diffusion-xl-base-1.0
Juggernaut-XL-v9
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Juggernaut-XL-v9 · fp16
15.9 GB / 24 GB
stable-diffusion-xl-base-1.0 · fp16
39.7 GB / 24 GB