animagine-xl-4.0 vs Qwen-Image-2.1-Turbo-GGUF
Specs, VRAM requirements and download trends — updated 10 November 2026.
cagliostrolab · A · Open weights
Params
2.6 B
Context
—
30d
1.0 M
openrail++ licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | animagine-xl-4.0 | Qwen-Image-2.1-Turbo-GGUF |
|---|---|---|
| Parameters | 2.6 B | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | openrail++ | other |
| Commercial use | Conditional | Unknown |
| Languages | 1 | 2 |
| Downloads 30d | 1,027,911 | 1,353,233 |
| Downloads all time | 4.8 M | 1.4 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2025-01-10 | 2026-10-10 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.4 M50 K
animagine-xl-4.0
Qwen-Image-2.1-Turbo-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-Image-2.1-Turbo-GGUF · Q4_K_M
5.1 GB / 24 GB
animagine-xl-4.0 · fp16
23.8 GB / 24 GB