stable-diffusion-xl-base-1.0 vs Juggernaut-X-v10
Specs, VRAM requirements and download trends — updated 24 October 2026.
stabilityai · A · Open weights
Params
2.6 B
Context
—
30d
4.1 M
openrail++ licence · conditional
RunDiffusion · B · Open weights
Params
—
Context
—
30d
46 K
creativeml-openrail-m licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | stable-diffusion-xl-base-1.0 | Juggernaut-X-v10 |
|---|---|---|
| Parameters | 2.6 B | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | openrail++ | creativeml-openrail-m |
| Commercial use | Conditional | Conditional |
| Languages | — | 1 |
| Downloads 30d | 4,113,571 | 46,181 |
| Downloads all time | 128.5 M | 641 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-07-25 | 2024-04-19 |
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
4.4 M16 K
stable-diffusion-xl-base-1.0
Juggernaut-X-v10
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Juggernaut-X-v10 · fp16
8.3 GB / 24 GB
stable-diffusion-xl-base-1.0 · fp16
39.7 GB / 24 GB
Adjacent comparisons
stable-diffusion-xl-base-1.0 vs Z-Image-Turbo-GGUF
stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-Uncensored-Quantized
stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-Uncensored-GGUF
stable-diffusion-xl-base-1.0 vs RealVisXL_V5.0
stable-diffusion-xl-base-1.0 vs sdxl-turbo
stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-GGUF