Krea2-4step-LoRA

About

What Krea2-4step-LoRA is

Krea 2 Turbo — 4-Step Distillation LoRA (work in progress) A LoRA for Krea 2 Turbo that reduces the minimum usable step count from 8 to 4. - ⚡ Half the steps — 8 → 4, on Turbo's own deployment sigmas. - ⏱️ ~1.6× faster end to end — 54.5 s against the 8-step bar's 88.7 s at 1024×1024, and 1.8× on denoise alone. - 🎯 Detail, not just speed — it restores the high-frequency texture a halved schedule drops. - 🔌 Drop-in — plain LoRA weights for diffusers and ComfyUI. No custom nodes, no patched sampler, no code. Load it on top of Krea 2 Turbo, run 4 steps instead of 8, keep guidance at 0.0. Everything else about the model stays as it is. [](assets/portraitcompareturbo.jpg) Left: Turbo as shipped, 8 steps. Middle: 4 steps on its own — the detail a halved schedule loses. Right: 4 steps with this LoRA. Same seed throughout; click for full size. More comparisons in Examples. Which file to download and, beside them, the same files with a comfyui suffix for ComfyUI. Earlier checkpoints (chk00004000, chk00005000, chk00006000, chk00010000, chk00014000, chk00019000) are kept in oldercheckpoints/, and their resolution sweeps stay in place, so the progression remains visible and comparable. The numbered files are points on one continuous run, not separate experiments — chk00026000 resumed from chk00014000, which resumed from chk00010000, rather than restarting. chk00026000 removes 46% of the prediction error a plain 4-step run has against the 8-step teacher, where chk00014000 removed 44% and chk00010000 40% — all measured on the same enlarged held-out set (100 prompts across every trained resolution). Measured against each other rather than against the no-LoRA run, its remaining error is 4% smaller than chk00014000's and 10% smaller than chk00010000's — and unlike a purely teacher-forced score, the gain also shows up free-running: a full 4-call rollout from the teacher's noise ends 1.6% nearer the teacher's final latent than chk00014000's does. What the headline number is — and what it is not — is in chk00026000 vs chk00014000. 📌 latest currently points to chk00026000 — 26,000 training samples. This line is updated whenever a newer checkpoint is published. This is work in progres

Summarised from the published model card. Read the full card on the HuggingFace links below.

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Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys krea2-4step-lora for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (krea2-4step-lora below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/images/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"krea2-4step-lora","prompt":"a red bicycle","size":"1024x1024"}'

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