stable-diffusion-xl-base-1.0 vs Juggernaut-XL-v9
Specs, VRAM requirements and download trends — updated 20 September 2026.
stabilityai · A
Params
2.6 B
Context
—
30d
3.0 M
openrail++ licence · conditional
RunDiffusion · B
Params
—
Context
—
30d
868 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 | 3,000,602 | 867,847 |
| Downloads all time | 123.6 M | 7.6 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 55 days (28 Jul – 20 Sep)
3.0 M162 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