stable-diffusion-xl-base-1.0 vs Qwen-Image-2512-Turbo-LoRA-2-Steps
Specs, VRAM requirements and download trends — updated 21 September 2026.
stabilityai · A · Open weights
Params
2.6 B
Context
—
30d
4.6 M
openrail++ licence · conditional
Wuli-art · B · Open weights
Params
—
Context
—
30d
23 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | stable-diffusion-xl-base-1.0 | Qwen-Image-2512-Turbo-LoRA-2-Steps |
|---|---|---|
| Parameters | 2.6 B | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | openrail++ | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | — | 2 |
| Downloads 30d | 4,649,928 | 23,187 |
| Downloads all time | 131.4 M | 214 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-07-25 | 2026-01-28 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
4.7 M18 K
stable-diffusion-xl-base-1.0
Qwen-Image-2512-Turbo-LoRA-2-Steps
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2512-Turbo-LoRA-2-Steps · fp16
3.1 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