stable-diffusion-v1-5 vs Qwen-Image-2.1-Uncensored-Abenzerps-GGUF
Specs, VRAM requirements and download trends — updated 28 September 2026.
stable-diffusion-v1-5 · A · Open weights
Params
860 M
Context
—
30d
1.1 M
creativeml-openrail-m licence · conditional
KasugaiSakura · B · Open weights
Params
7.1 B
Context
—
30d
48 K
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | stable-diffusion-v1-5 | Qwen-Image-2.1-Uncensored-Abenzerps-GGUF |
|---|---|---|
| Parameters | 860 M | 7.1 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | creativeml-openrail-m | other |
| Commercial use | Conditional | Unknown |
| Languages | — | — |
| Downloads 30d | 1,141,927 | 48,118 |
| Downloads all time | 78.8 M | 70 K |
| Quantizations on the Hub | SAFETENSORS | GGUF, SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-08-30 | 2026-09-20 |
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
1.8 M28 K
stable-diffusion-v1-5
Qwen-Image-2.1-Uncensored-Abenzerps-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2.1-Uncensored-Abenzerps-GGUF · Q4_0
6.1 GB / 24 GB
stable-diffusion-v1-5 · fp16
26.6 GB / 24 GB
Qwen-Image-2.1-Uncensored-Abenzerps-GGUF · fp16
71.4 GB / 24 GB