stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-Turbo-Uncensored-GGUF
Specs, VRAM requirements and download trends — updated 10 November 2026.
stabilityai · A · Open weights
Params
2.6 B
Context
—
30d
4.6 M
openrail++ licence · conditional
TechnoBaptist · B · Open weights
Params
8.8 B
Context
—
30d
60 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | stable-diffusion-xl-base-1.0 | Qwen-Image-2.1-Turbo-Uncensored-GGUF |
|---|---|---|
| Parameters | 2.6 B | 8.8 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | openrail++ | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | — | — |
| Downloads 30d | 4,649,928 | 60,210 |
| Downloads all time | 131.4 M | 61 K |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2023-07-25 | 2026-10-09 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
4.7 M38 K
stable-diffusion-xl-base-1.0
Qwen-Image-2.1-Turbo-Uncensored-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2.1-Turbo-Uncensored-GGUF · Q4_K
7.6 GB / 24 GB
stable-diffusion-xl-base-1.0 · fp16
39.7 GB / 24 GB
Adjacent comparisons
Qwen-Image-2.1 vs stable-diffusion-xl-base-1.0
stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-Turbo-GGUF
stable-diffusion-xl-base-1.0 vs RealVisXL_V5.0
stable-diffusion-xl-base-1.0 vs animagine-xl-4.0
stable-diffusion-xl-base-1.0 vs Flux-2-Dev
stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-Uncensored-Quantized