Qwen-Image-2.1-Uncensored-Quantized vs Juggernaut-X-v10
Specs, VRAM requirements and download trends — updated 24 October 2026.
RunDiffusion · B · Open weights
Params
—
Context
—
30d
46 K
creativeml-openrail-m licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen-Image-2.1-Uncensored-Quantized | Juggernaut-X-v10 |
|---|---|---|
| Parameters | 7.1 B | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | other | creativeml-openrail-m |
| Commercial use | Unknown | Conditional |
| Languages | — | 1 |
| Downloads 30d | 2,398,071 | 46,181 |
| Downloads all time | 2.9 M | 641 K |
| Quantizations on the Hub | GGUF, SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-09-20 | 2024-04-19 |
Download trend
Daily snapshots, last 12 days (13 Oct – 24 Oct)
2.8 M16 K
Qwen-Image-2.1-Uncensored-Quantized
Juggernaut-X-v10
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-X-v10 · fp16
8.3 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
Qwen-Image-2.1-Uncensored-Quantized vs Qwen-Image-2.1-viggle-turbo