Krea-2-Turbo-fp8
1. Setup the official Krea 2 codebase 2. Download turbo.safetensors in this repo 3. export OSSTURBO= Run inference: bash uv run inference.py "a fox walking in the snow" \ --checkpoint ossturbo --steps 8 --cfg 0.0 --mu 1.15 --width 2048 --height 2048
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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 | 18.1 GB | 20.4 GB | ⚠️ Tight — reduce context |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Licence
- other
- First seen on the Hub
- 2026-06-24
- Base model
- Krea-2-Raw
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-07
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