stable-diffusion-v1-4 vs Qwen-Image-2.1-Turbo-GGUF
Specs, VRAM requirements and download trends — updated 10 November 2026.
CompVis · A · Open weights
Params
860 M
Context
—
30d
483 K
creativeml-openrail-m licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | stable-diffusion-v1-4 | Qwen-Image-2.1-Turbo-GGUF |
|---|---|---|
| Parameters | 860 M | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | creativeml-openrail-m | other |
| Commercial use | Conditional | Unknown |
| Languages | — | 2 |
| Downloads 30d | 482,912 | 1,353,233 |
| Downloads all time | 55.1 M | 1.4 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2022-08-20 | 2026-10-10 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.4 M50 K
stable-diffusion-v1-4
Qwen-Image-2.1-Turbo-GGUF
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
stable-diffusion-v1-4 · fp16
13.5 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