Qwen-Image-2.1-Turbo-Quantized vs Realistic_Vision_V6.0_B1_noVAE

Specs, VRAM requirements and download trends — updated 4 November 2026.

abenzerps · A · Open weights
Params
—
Context
—
30d
90 K
SG161222 · B · Open weights
Params
—
Context
—
30d
168 K
creativeml-openrail-m licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen-Image-2.1-Turbo-Quantized Realistic_Vision_V6.0_B1_noVAE
Parameters — —
Architecture — —
Context length — —
Licence other creativeml-openrail-m
Commercial use Unknown Conditional
Languages — —
Downloads 30d 89,977 168,285
Downloads all time 2.1 M 3.0 M
Quantizations on the Hub GGUF, SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-09-20 2023-11-29

Download trend

Daily snapshots, last 7 days (4 Nov – 10 Nov)

2.5 M37 K
Qwen-Image-2.1-Turbo-Quantized Realistic_Vision_V6.0_B1_noVAE

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
✅ Runs comfortably
Realistic_Vision_V6.0_B1_noVAE · fp16 14.6 GB / 24 GB
✅ Runs comfortably
Qwen-Image-2.1-Turbo-Quantized · fp16 70.3 GB / 24 GB
❌ Won’t fit

Adjacent comparisons