Z-Image-Turbo-GGUF vs controlnet-canny-sdxl-1.0
Specs, VRAM requirements and download trends — updated 30 October 2026.
unsloth · A · Open weights
Params
6.2 B
Context
—
30d
963 K
apache-2.0 · commercial OK
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 | Z-Image-Turbo-GGUF | controlnet-canny-sdxl-1.0 |
|---|---|---|
| Parameters | 6.2 B | 1.3 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | apache-2.0 | openrail++ |
| Commercial use | Allowed | Conditional |
| Languages | 1 | — |
| Downloads 30d | 963,201 | 54,610 |
| Downloads all time | 2.5 M | 902 K |
| Quantizations on the Hub | GGUF | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-12-21 | 2023-08-01 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.1 M17 K
Z-Image-Turbo-GGUF
controlnet-canny-sdxl-1.0
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Z-Image-Turbo-GGUF · Q4_0
6.5 GB / 24 GB
controlnet-canny-sdxl-1.0 · fp16
8.9 GB / 24 GB