Juggernaut-XL-v9 vs Qwen-Image-2.1-GGUF
Specs, VRAM requirements and download trends — updated 23 October 2026.
RunDiffusion · A · Open weights
Params
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Context
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30d
341 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 | — | 7.1 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | creativeml-openrail-m | other |
| Commercial use | Conditional | Unknown |
| Languages | 1 | 2 |
| Downloads 30d | 341,472 | 1,533,802 |
| Downloads all time | 8.0 M | 1.6 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2024-02-18 | 2026-09-21 |
Download trend
Daily snapshots, last 88 days (28 Jul – 23 Oct)
1.5 M27 K
Juggernaut-XL-v9
Qwen-Image-2.1-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2.1-GGUF · Q4_K_M
6.2 GB / 24 GB
Juggernaut-XL-v9 · fp16
15.9 GB / 24 GB
Adjacent comparisons
Qwen-Image-2.1-Uncensored-Quantized vs Qwen-Image-2.1-GGUF
Qwen-Image-2.1-Uncensored-GGUF vs Qwen-Image-2.1-GGUF
stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-GGUF
Z-Image-Turbo-GGUF vs Qwen-Image-2.1-GGUF
stable-diffusion-xl-base-1.0 vs Juggernaut-XL-v9
Qwen-Image-2.1-Uncensored-Quantized vs Juggernaut-XL-v9