stable-diffusion-v1-5 vs controlnet-canny-sdxl-1.0
Specs, VRAM requirements and download trends — updated 10 November 2026.
stable-diffusion-v1-5 · A · Open weights
Params
860 M
Context
—
30d
1.0 M
creativeml-openrail-m licence · conditional
diffusers · B · Open weights
Params
1.3 B
Context
—
30d
55 K
openrail++ licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | stable-diffusion-v1-5 | controlnet-canny-sdxl-1.0 |
|---|---|---|
| Parameters | 860 M | 1.3 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | creativeml-openrail-m | openrail++ |
| Commercial use | Conditional | Conditional |
| Languages | — | — |
| Downloads 30d | 1,042,451 | 54,610 |
| Downloads all time | 79.4 M | 902 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-08-30 | 2023-08-01 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.8 M17 K
stable-diffusion-v1-5
controlnet-canny-sdxl-1.0
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
controlnet-canny-sdxl-1.0 · fp16
8.9 GB / 24 GB
stable-diffusion-v1-5 · fp16
26.6 GB / 24 GB