Qwen-Image-2.1-Turbo-Quantized vs controlnet-canny-sdxl-1.0
Specs, VRAM requirements and download trends — updated 4 November 2026.
xinsir · B · Open weights
Params
1.3 B
Context
—
30d
75 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen-Image-2.1-Turbo-Quantized | controlnet-canny-sdxl-1.0 |
|---|---|---|
| Parameters | — | 1.3 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | other | apache-2.0 |
| Commercial use | Unknown | Allowed |
| Languages | — | — |
| Downloads 30d | 89,977 | 75,453 |
| Downloads all time | 2.1 M | 732 K |
| Quantizations on the Hub | GGUF, SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-09-20 | 2024-05-10 |
Download trend
Daily snapshots, last 7 days (4 Nov – 10 Nov)
2.5 M20 K
Qwen-Image-2.1-Turbo-Quantized
controlnet-canny-sdxl-1.0
A overtook B on 9 Nov
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2.1-Turbo-Quantized · Q4_0
5.0 GB / 24 GB
controlnet-canny-sdxl-1.0 · fp16
6.2 GB / 24 GB
Qwen-Image-2.1-Turbo-Quantized · fp16
70.3 GB / 24 GB
Adjacent comparisons
Qwen-Image-2.1 vs Qwen-Image-2.1-Turbo-Quantized
Qwen-Image-2.1-Turbo-Quantized vs stable-diffusion-inpainting
Qwen-Image-2.1-Turbo-Quantized vs Krea-2-Turbo
Qwen-Image-2.1-Turbo-Quantized vs SDXL-Lightning
Qwen-Image-2.1-Turbo-Quantized vs FLUX.1-dev-gguf
Qwen-Image-2.1-Turbo-Quantized vs Qwen-Image-2.1