Juggernaut-XL-v9 vs stable-diffusion-2-1-base-custom
Specs, VRAM requirements and download trends — updated 20 September 2026.
RunDiffusion · A
Params
—
Context
—
30d
868 K
creativeml-openrail-m licence · conditional
Sudanl · B
Params
—
Context
—
30d
42 K
creativeml-openrail-m licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Juggernaut-XL-v9 | stable-diffusion-2-1-base-custom |
|---|---|---|
| Parameters | — | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | creativeml-openrail-m | creativeml-openrail-m |
| Commercial use | Conditional | Conditional |
| Languages | 1 | — |
| Downloads 30d | 867,847 | 42,158 |
| Downloads all time | 7.6 M | 1.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-02-18 | 2024-09-06 |
Download trend
Daily snapshots, last 55 days (28 Jul – 20 Sep)
871 K18 K
Juggernaut-XL-v9
stable-diffusion-2-1-base-custom
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
stable-diffusion-2-1-base-custom · fp16
3.9 GB / 24 GB
Juggernaut-XL-v9 · fp16
15.9 GB / 24 GB