Qwen-Image-2.1-Turbo-GGUF vs RealVisXL_V4.0
Specs, VRAM requirements and download trends — updated 10 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-GGUF | RealVisXL_V4.0 |
|---|---|---|
| Parameters | — | 2.6 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | other | openrail++ |
| Commercial use | Unknown | Conditional |
| Languages | 2 | — |
| Downloads 30d | 1,353,233 | 222,960 |
| Downloads all time | 1.4 M | 7.3 M |
| Quantizations on the Hub | GGUF | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-10-10 | 2024-02-12 |
Download trend
Daily snapshots, last 30 days (12 Oct – 10 Nov)
1.4 M50 K
Qwen-Image-2.1-Turbo-GGUF
RealVisXL_V4.0
A overtook B on 14 Oct
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
RealVisXL_V4.0 · fp16
31.4 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