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| "## Krea 2 Turbo \u2014 2-step distillation LoRA\n\nKrea 2 Turbo normally needs **8 steps**. With this LoRA it runs at **2** \u2014 a fast preview, a quarter of the cost.\n\n### Files\n| file | put it in |\n| --- | --- |\n| `krea2_turbo_bf16.safetensors` | `models/diffusion_models/` |\n| `qwen3vl_4b_bf16.safetensors` | `models/text_encoders/` |\n| `qwen_image_vae.safetensors` | `models/vae/` |\n| `krea2_turbo_2step_rank_64_lora_comfyui.safetensors` | `models/loras/` |\n\nThe first three are from [Comfy-Org/Krea-2](https://huggingface.co/Comfy-Org/Krea-2).\n\n**The LoRA is independent of the base build.** It is applied on top of the diffusion model by ComfyUI's own loader, which handles any dequantisation, so a quantised or otherwise optimised build of Krea 2 Turbo behaves just as bf16 does. Please use whichever variant suits your hardware \u2014 set it in **Load Diffusion Model** and leave the rest of the workflow untouched.\n\nThis workflow ships **full bf16** only because it is the one build guaranteed to run everywhere: bf16 needs no backend-specific kernel, so it works on CUDA, Apple Silicon and CPU alike. Smaller options: `krea2_turbo_int8_convrot` (13.5 GB, either platform), or `krea2_turbo_fp8_scaled` (13.1 GB) which is **NVIDIA-only** \u2014 MPS has no `Float8_e4m3fn` support and fails at the sampler. The text encoder has bf16 and fp8 builds only; there is no int8 one.\n\n> **Do not use `fp8_scaled` on Apple Silicon.** MPS has no `Float8_e4m3fn` support, so it fails at the sampler with *\"Trying to convert Float8_e4m3fn to the MPS backend\"*. It is fine on NVIDIA. `krea2_turbo_bf16` (26.3 GB) also works everywhere if you prefer full precision \u2014 just set the matching name in the loader.\n\n### Settings that matter\n- **steps 2**, **cfg 1.0** (Turbo is CFG-free), sampler **euler**, scheduler **simple**\n- LoRA strength **1.0**\n- The negative is a `ConditioningZeroOut` \u2014 at cfg 1.0 it is not evaluated, so there is nothing to write in it\n\nSet steps back to 8 and bypass the LoRA node (Ctrl+B) to compare against stock Turbo.\n\n### Metadata\nThe LoRA file in this repository is always the **latest** published checkpoint of the run \u2014 the file name never changes, so this workflow never needs updating. Which checkpoint it is today is in `krea2_turbo_2step_rank_64_lora_checkpoint_info.md` next to it, and in the file's own safetensors metadata along with the base model, the method and the inference settings above." |
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