Juggernaut-XL-v9 vs Qwen-Image-2512-Turbo-LoRA-2-Steps
Specs, VRAM requirements and download trends — updated 21 September 2026.
RunDiffusion · A · Open weights
Params
—
Context
—
30d
579 K
creativeml-openrail-m licence · conditional
Wuli-art · B · Open weights
Params
—
Context
—
30d
23 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Juggernaut-XL-v9 | Qwen-Image-2512-Turbo-LoRA-2-Steps |
|---|---|---|
| Parameters | — | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | creativeml-openrail-m | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | 1 | 2 |
| Downloads 30d | 579,110 | 23,187 |
| Downloads all time | 8.4 M | 214 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-02-18 | 2026-01-28 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
880 K18 K
Juggernaut-XL-v9
Qwen-Image-2512-Turbo-LoRA-2-Steps
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2512-Turbo-LoRA-2-Steps · fp16
3.1 GB / 24 GB
Juggernaut-XL-v9 · fp16
15.9 GB / 24 GB