Upload krea2_raw_7step_lora_experiment_t2i.json

krea2_raw_7step_lora_experiment_t2i.json

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+        "## Krea 2 Raw at 7 steps with the 2-step LoRA \u2014 an experiment\n\n**The LoRA is trained on Krea 2 Turbo, for Krea 2 Turbo, at 2 steps.** It loads on Krea 2 Raw only because the two models share one architecture. This workflow reproduces the experiment in `assets/resolution_sweeps/raw-LoRA-7steps-experiment/`: Raw + the LoRA at **7 steps** \u2014 a quarter of Raw's usual 28 \u2014 with light guidance. Not every prompt works well at 7 steps; for those, a few more steps may help.\n\n### Files\n| file | put it in |\n| --- | --- |\n| `krea2_raw_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); the LoRA is the same `_comfyui` file as in the root of this repository. Smaller Raw builds there (`krea2_raw_int8_convrot`, `krea2_raw_fp8_scaled`) work the same way \u2014 set the name in **Load Diffusion Model**; `fp8_scaled` is NVIDIA-only.\n\n### Settings that matter\n- **steps 7**, **cfg 2.0** (light guidance: a heavy cfg such as 5.5 crushes most images at 7 steps, and cfg 1.0 turns guidance off), sampler **euler**, scheduler **simple**\n- LoRA strength **1.0**\n- The negative is an **empty** CLIP Text Encode \u2014 at cfg 2.0 it is evaluated\n- 1024x768, seed 4242 \u2014 the portrait in that folder is this workflow's own output\n\nFor the settings the LoRA is actually made for \u2014 Krea 2 Turbo, 2 steps, cfg 1.0 \u2014 use `krea2_turbo_2step_lora_t2i.json`, next to this one in the root of the repository."
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