stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-Uncensored-Quantized
Specs, VRAM requirements and download trends — updated 23 October 2026.
stabilityai · A · Open weights
Params
2.6 B
Context
—
30d
4.2 M
openrail++ licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | stable-diffusion-xl-base-1.0 | Qwen-Image-2.1-Uncensored-Quantized |
|---|---|---|
| Parameters | 2.6 B | 7.1 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | openrail++ | other |
| Commercial use | Conditional | Unknown |
| Languages | — | — |
| Downloads 30d | 4,196,309 | 2,665,585 |
| Downloads all time | 128.4 M | 2.9 M |
| Quantizations on the Hub | SAFETENSORS | GGUF, SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-07-25 | 2026-09-20 |
Download trend
Daily snapshots, last 88 days (28 Jul – 23 Oct)
4.4 M1.4 M
stable-diffusion-xl-base-1.0
Qwen-Image-2.1-Uncensored-Quantized
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
stable-diffusion-xl-base-1.0 · fp16
39.7 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
stable-diffusion-xl-base-1.0 vs Z-Image-Turbo-GGUF
Qwen-Image-2.1-Uncensored-Quantized vs Qwen-Image-2.1-GGUF
stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-Uncensored-GGUF
stable-diffusion-xl-base-1.0 vs RealVisXL_V5.0
Qwen-Image-2.1-Uncensored-Quantized vs Z-Image-Turbo-GGUF