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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daily snapshots · 33 days
▲ 57 K in the last 30 days (242.1%)
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict 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
Compare with any text-to-image model