Qwen-Image-2.1-Uncensored-Quantized vs Juggernaut-XL-v9
Specs, VRAM requirements and download trends — updated 23 October 2026.
RunDiffusion · B · 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 | Qwen-Image-2.1-Uncensored-Quantized | Juggernaut-XL-v9 |
|---|---|---|
| Parameters | 7.1 B | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | other | creativeml-openrail-m |
| Commercial use | Unknown | Conditional |
| Languages | — | 1 |
| Downloads 30d | 2,665,585 | 341,472 |
| Downloads all time | 2.9 M | 8.0 M |
| Quantizations on the Hub | GGUF, SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-09-20 | 2024-02-18 |
Download trend
Daily snapshots, last 11 days (13 Oct – 23 Oct)
2.8 M162 K
Qwen-Image-2.1-Uncensored-Quantized
Juggernaut-XL-v9
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2.1-Uncensored-Quantized · Q4_0
6.1 GB / 24 GB
Juggernaut-XL-v9 · fp16
15.9 GB / 24 GB
Qwen-Image-2.1-Uncensored-Quantized · fp16
71.4 GB / 24 GB
Adjacent comparisons
Qwen-Image-2.1-Uncensored-GGUF vs Qwen-Image-2.1-Uncensored-Quantized
Qwen-Image-2.1-Uncensored-Quantized vs Qwen-Image-2.1-GGUF
stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-Uncensored-Quantized
Qwen-Image-2.1-Uncensored-Quantized vs Z-Image-Turbo-GGUF
Qwen-Image-2.1-Uncensored-Quantized vs Z-Image-Turbo
stable-diffusion-xl-base-1.0 vs Juggernaut-XL-v9