Juggernaut-XL-v9 vs Z-Image-Turbo-GGUF
Specs, VRAM requirements and download trends — updated 21 September 2026.
RunDiffusion · A
Params
—
Context
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30d
869 K
creativeml-openrail-m licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Juggernaut-XL-v9 | Z-Image-Turbo-GGUF |
|---|---|---|
| Parameters | — | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | creativeml-openrail-m | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | 1 | 2 |
| Downloads 30d | 869,216 | 55,627 |
| Downloads all time | 7.6 M | 348 K |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2024-02-18 | 2025-11-30 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
871 K29 K
Juggernaut-XL-v9
Z-Image-Turbo-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Z-Image-Turbo-GGUF · Q4_0
4.6 GB / 24 GB
Juggernaut-XL-v9 · fp16
15.9 GB / 24 GB