Juggernaut-XL-v9 vs controlnet-depth-sdxl-1.0
Specs, VRAM requirements and download trends — updated 20 September 2026.
RunDiffusion · A
Params
—
Context
—
30d
868 K
creativeml-openrail-m licence · conditional
diffusers · B
Params
1.3 B
Context
—
30d
30 K
openrail++ licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Juggernaut-XL-v9 | controlnet-depth-sdxl-1.0 |
|---|---|---|
| Parameters | — | 1.3 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | creativeml-openrail-m | openrail++ |
| Commercial use | Conditional | Conditional |
| Languages | 1 | — |
| Downloads 30d | 867,847 | 30,453 |
| Downloads all time | 7.6 M | 792 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-02-18 | 2023-08-12 |
Download trend
Daily snapshots, last 55 days (28 Jul – 20 Sep)
871 K17 K
Juggernaut-XL-v9
controlnet-depth-sdxl-1.0
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
controlnet-depth-sdxl-1.0 · fp16
8.9 GB / 24 GB
Juggernaut-XL-v9 · fp16
15.9 GB / 24 GB