Z-Image-Turbo vs Qwen-Image-2.1-viggle-turbo
Specs, VRAM requirements and download trends — updated 23 October 2026.
Tongyi-MAI · A · Open weights
Params
6.2 B
Context
—
30d
655 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Z-Image-Turbo | Qwen-Image-2.1-viggle-turbo |
|---|---|---|
| Parameters | 6.2 B | 7.1 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | apache-2.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | 1 | — |
| Downloads 30d | 654,742 | 527,506 |
| Downloads all time | 9.6 M | 528 K |
| Quantizations on the Hub | SAFETENSORS | GGUF, SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-11-25 | 2026-09-22 |
Download trend
Daily snapshots, last 88 days (28 Jul – 23 Oct)
1.2 M48 K
Z-Image-Turbo
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
Z-Image-Turbo · fp16
37.5 GB / 24 GB
Qwen-Image-2.1-viggle-turbo · fp16
66.0 GB / 24 GB
Adjacent comparisons
Qwen-Image-2.1-Uncensored-Quantized vs Z-Image-Turbo
Qwen-Image-2.1-Uncensored-Quantized vs Qwen-Image-2.1-viggle-turbo
Z-Image-Turbo vs Qwen-Image-2.1-Uncensored-GGUF
Qwen-Image-2.1-Uncensored-GGUF vs Qwen-Image-2.1-viggle-turbo
stable-diffusion-xl-base-1.0 vs Z-Image-Turbo
Z-Image-Turbo vs Qwen-Image-2.1-GGUF