Qwen-Image-2.1-Turbo-Quantized vs stable-diffusion-v1-5-GGUF
Specs, VRAM requirements and download trends — updated 4 November 2026.
second-state · B · Open weights
Params
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Context
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30d
66 K
creativeml-openrail-m licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen-Image-2.1-Turbo-Quantized | stable-diffusion-v1-5-GGUF |
|---|---|---|
| Parameters | — | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | other | creativeml-openrail-m |
| Commercial use | Unknown | Conditional |
| Languages | — | — |
| Downloads 30d | 89,977 | 65,542 |
| Downloads all time | 2.1 M | 453 K |
| Quantizations on the Hub | GGUF, SAFETENSORS | GGUF, SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-09-20 | 2024-07-09 |
Download trend
Daily snapshots, last 7 days (4 Nov – 10 Nov)
2.5 M21 K
Qwen-Image-2.1-Turbo-Quantized
stable-diffusion-v1-5-GGUF
A overtook B on 9 Nov
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
stable-diffusion-v1-5-GGUF · Q4_0
2.2 GB / 24 GB
Qwen-Image-2.1-Turbo-Quantized · Q4_0
5.0 GB / 24 GB
stable-diffusion-v1-5-GGUF · fp16
5.2 GB / 24 GB
Qwen-Image-2.1-Turbo-Quantized · fp16
70.3 GB / 24 GB
Adjacent comparisons
Qwen-Image-2.1 vs Qwen-Image-2.1-Turbo-Quantized
Qwen-Image-2.1-Turbo-Quantized vs stable-diffusion-inpainting
Qwen-Image-2.1 vs stable-diffusion-v1-5-GGUF
Qwen-Image-2.1-Turbo-Quantized vs Krea-2-Turbo
Qwen-Image-2.1-Turbo-Quantized vs SDXL-Lightning
Qwen-Image-2.1-Turbo-Quantized vs FLUX.1-dev-gguf