Omnico / text-to-image updated 3 weeks ago

Krea2_turbo_diff_loras

These LoRAs were extracted from fine-tuned checkpoints. I did this primarily for myself because LoRAs are easier to work with: they can be mixed in real time and assigned different weights/strengths. This also saves space on your local computer. They work well at 100–150% strength. Choose a rank according to your taste and your hardware capabilities (the lower the rank, the less memory you need). However, some of my...

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Licence: unknown Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 33 days
▲ 57 K in the last 30 days (242.1%)
81 K18 K
Aug 19Aug 30Sep 10Sep 20

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors fp16 410.7 GB 452.2 GB ❌ Won’t fit
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

First seen on the Hub
2026-08-01
Base model
Krea-2-Turbo
Training datasets
undisclosed
Added to our catalog
2026-08-19

Family

Base model and the most-downloaded derivatives in the catalog.

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