Qwen-Image-2.1-Turbo-Quantized vs RealVisXL_V4.0
Specs, VRAM requirements and download trends — updated 4 November 2026.
SG161222 · B · Open weights
Params
2.6 B
Context
—
30d
223 K
openrail++ licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen-Image-2.1-Turbo-Quantized | RealVisXL_V4.0 |
|---|---|---|
| Parameters | — | 2.6 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | other | openrail++ |
| Commercial use | Unknown | Conditional |
| Languages | — | — |
| Downloads 30d | 89,977 | 222,960 |
| Downloads all time | 2.1 M | 7.3 M |
| Quantizations on the Hub | GGUF, SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-09-20 | 2024-02-12 |
Download trend
Daily snapshots, last 7 days (4 Nov – 10 Nov)
2.5 M65 K
Qwen-Image-2.1-Turbo-Quantized
RealVisXL_V4.0
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
RealVisXL_V4.0 · fp16
31.4 GB / 24 GB
Qwen-Image-2.1-Turbo-Quantized · fp16
70.3 GB / 24 GB