Juggernaut-XL-v9 vs Qwen-Image-2.1-GGUF
Specs, VRAM requirements and download trends — updated 22 September 2026.
RunDiffusion · A
Params
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Context
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30d
868 K
creativeml-openrail-m licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Juggernaut-XL-v9 | Qwen-Image-2.1-GGUF |
|---|---|---|
| Parameters | — | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | creativeml-openrail-m | other |
| Commercial use | Conditional | Unknown |
| Languages | 1 | — |
| Downloads 30d | 867,995 | 33,232 |
| Downloads all time | 7.6 M | 33 K |
| Quantizations on the Hub | SAFETENSORS | GGUF, SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-02-18 | 2026-09-20 |
Download trend
57 days of snapshots recorded — chart in 0 days.
7.6 M
Juggernaut-XL-v9 · all-time downloads
33 K
Qwen-Image-2.1-GGUF · all-time downloads
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2.1-GGUF · Q4_0
5.0 GB / 24 GB
Juggernaut-XL-v9 · fp16
15.9 GB / 24 GB
Qwen-Image-2.1-GGUF · fp16
30.8 GB / 24 GB