Qwen-Image-2.1-Turbo-GGUF vs controlnet-canny-sdxl-1.0
Specs, VRAM requirements and download trends — updated 10 November 2026.
diffusers · B · Open weights
Params
1.3 B
Context
—
30d
55 K
openrail++ licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen-Image-2.1-Turbo-GGUF | controlnet-canny-sdxl-1.0 |
|---|---|---|
| Parameters | — | 1.3 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | other | openrail++ |
| Commercial use | Unknown | Conditional |
| Languages | 2 | — |
| Downloads 30d | 1,353,233 | 54,610 |
| Downloads all time | 1.4 M | 902 K |
| Quantizations on the Hub | GGUF | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-10-10 | 2023-08-01 |
Download trend
Daily snapshots, last 30 days (12 Oct – 10 Nov)
1.4 M17 K
Qwen-Image-2.1-Turbo-GGUF
controlnet-canny-sdxl-1.0
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2.1-Turbo-GGUF · Q4_K_M
5.1 GB / 24 GB
controlnet-canny-sdxl-1.0 · fp16
8.9 GB / 24 GB
Adjacent comparisons
Qwen-Image-2.1 vs Qwen-Image-2.1-Turbo-GGUF
stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-Turbo-GGUF
Krea-2 vs Qwen-Image-2.1-Turbo-GGUF
Qwen-Image-2.1-Uncensored-Quantized vs Qwen-Image-2.1-Turbo-GGUF
Qwen-Image-2.1-Uncensored-GGUF vs Qwen-Image-2.1-Turbo-GGUF
Qwen-Image-2.1-GGUF vs Qwen-Image-2.1-Turbo-GGUF