stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-viggle-turbo
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-viggle-turbo |
|---|---|---|
| Parameters | 2.6 B | 7.1 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | openrail++ | other |
| Commercial use | Conditional | Unknown |
| Languages | — | — |
| Downloads 30d | 4,196,309 | 527,506 |
| Downloads all time | 128.4 M | 528 K |
| Quantizations on the Hub | SAFETENSORS | GGUF, SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-07-25 | 2026-09-22 |
Download trend
Daily snapshots, last 88 days (28 Jul – 23 Oct)
4.4 M48 K
stable-diffusion-xl-base-1.0
Qwen-Image-2.1-viggle-turbo
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2.1-viggle-turbo · Q4_K_M
6.3 GB / 24 GB
stable-diffusion-xl-base-1.0 · fp16
39.7 GB / 24 GB
Qwen-Image-2.1-viggle-turbo · fp16
66.0 GB / 24 GB
Adjacent comparisons
stable-diffusion-xl-base-1.0 vs Z-Image-Turbo-GGUF
stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-Uncensored-Quantized
stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-Uncensored-GGUF
stable-diffusion-xl-base-1.0 vs RealVisXL_V5.0
stable-diffusion-xl-base-1.0 vs sdxl-turbo
stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-GGUF