stable-diffusion-xl-base-1.0 vs ERNIE-Image-Turbo-GGUF
Specs, VRAM requirements and download trends — updated 23 October 2026.
stabilityai · A · Open weights
Params
2.6 B
Context
—
30d
4.2 M
openrail++ licence · conditional
unsloth · B · Open weights
Params
—
Context
—
30d
112 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | stable-diffusion-xl-base-1.0 | ERNIE-Image-Turbo-GGUF |
|---|---|---|
| Parameters | 2.6 B | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | openrail++ | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | — | — |
| Downloads 30d | 4,196,309 | 111,892 |
| Downloads all time | 128.4 M | 290 K |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2023-07-25 | 2026-04-14 |
Download trend
Daily snapshots, last 88 days (28 Jul – 23 Oct)
4.4 M34 K
stable-diffusion-xl-base-1.0
ERNIE-Image-Turbo-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
ERNIE-Image-Turbo-GGUF · Q4_0
5.7 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