stable-diffusion-v1-5 vs Qwen-Image-2.1-viggle-4-steps-turbo-GGUF
Specs, VRAM requirements and download trends — updated 1 October 2026.
stable-diffusion-v1-5 · A · Open weights
Params
860 M
Context
—
30d
1.2 M
creativeml-openrail-m licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | stable-diffusion-v1-5 | Qwen-Image-2.1-viggle-4-steps-turbo-GGUF |
|---|---|---|
| Parameters | 860 M | 7.1 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | creativeml-openrail-m | other |
| Commercial use | Conditional | Unknown |
| Languages | — | — |
| Downloads 30d | 1,160,584 | 83,279 |
| Downloads all time | 78.8 M | 83 K |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2024-08-30 | 2026-09-23 |
Download trend
Daily snapshots, last 88 days (28 Jul – 23 Oct)
1.8 M32 K
stable-diffusion-v1-5
Qwen-Image-2.1-viggle-4-steps-turbo-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2.1-viggle-4-steps-turbo-GGUF · Q4_K_M
6.2 GB / 24 GB
stable-diffusion-v1-5 · fp16
26.6 GB / 24 GB