stable-diffusion-xl-base-1.0 vs Qwen-Image-2.1-viggle-4-steps-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

Abiray · B · Open weights

Params

7.1 B

Context

—

30d

83 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification	stable-diffusion-xl-base-1.0	Qwen-Image-2.1-viggle-4-steps-turbo-GGUF
Parameters	2.6 B	7.1 B
Architecture	—	—
Context length	—	—
Licence	openrail++	other
Commercial use	Conditional	Unknown
Languages	—	—
Downloads 30d	4,196,309	83,279
Downloads all time	128.4 M	83 K
Quantizations on the Hub	SAFETENSORS	GGUF
Gated	No	No
First seen on the Hub	2023-07-25	2026-09-23

Daily snapshots, last 88 days (28 Jul – 23 Oct)

4.4 M32 K

stable-diffusion-xl-base-1.0 Qwen-Image-2.1-viggle-4-steps-turbo-GGUF

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

✅ Runs comfortably

stable-diffusion-xl-base-1.0 · fp16 39.7 GB / 24 GB

❌ Won’t fit