Krea-2-Realism-Fusion

Badaramoni Realism Fusion — Krea 2

A photorealism LoRA for Krea 2 Turbo, produced with Badaramoni Fusion: a format-agnostic, delta-space merge that combines multiple realism adapters — including ones stored in different low-rank formats — into a single portable LoRA.

No trigger word. Write a natural, descriptive sentence.

Why this isn't a normal merge

Off-the-shelf mergers (kohya, mergekit) only combine adapters that share the same low-rank format. Real-world realism adapters are a mix of classic LoRA and LoKR, which those tools cannot merge together. Badaramoni Fusion solves this by working in weight-delta space:

1. Reconstruct each adapter's true weight delta per module (ΔW = B·A for LoRA, ΔW = kron(w1, w2) for LoKR).
2. Normalize across differing key conventions so every module lines up in one canonical space.
3. Blend the deltas as a weighted sum (ΔW = Σ wᵢ·ΔWᵢ).
4. Re-factor the combined delta back into one low-rank LoRA via truncated SVD (rank 128), with a measured reconstruction-error budget.

The result is a single .safetensors that carries the combined realism direction of several source models, not a naive alpha-average. This is a many-to-one, lossy-by-design compression that keeps the dominant realism singular directions in a compact, portable adapter.

The merge method lives in universal_merge.py.

Samples

All images below were generated on Krea 2 Turbo with this LoRA at scale 1.3, 8 steps, guidance 1, μ 1.15. Prompts are plain descriptive sentences — no style keywords.

Recommended settings

• Base: krea/Krea-2-Turbo
• Steps: 8, guidance: 0–1, μ: 1.15
• LoRA scale: 1.0–1.3 (start at 1.3 for a stronger realism push)
• Resolution: 1024×1280 works well; short side 1024–1536
• No trigger word

Usage with 🤗 diffusers

Install diffusers from source (for Krea2Pipeline):

pip install git+https://github.com/huggingface/diffusers.git

import torch
from diffusers import Krea2Pipeline

pipe = Krea2Pipeline.from_pretrained(
    "krea/Krea-2-Turbo", torch_dtype=torch.bfloat16
).to("cuda")
pipe.load_lora_weights("badaramoni/Krea-2-Realism-Fusion")

prompt = (
    "A grandmother rolling dough in a flour-dusted kitchen, "
    "soft window light, wrinkled hands and warm smile"
)
image = pipe(prompt, num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("fusion.png")

Usage with musubi-tuner

python src/musubi_tuner/krea2_generate_image.py \
  --dit turbo.safetensors \
  --vae qwen_image_vae.safetensors \
  --text_encoder qwen3vl_4b_bf16.safetensors \
  --lora_weight badaramoni_krea2_realism_fusion_r128_fp16.safetensors \
  --lora_multiplier 1.3 \
  --steps 8 --guidance_scale 1 --mu 1.15 \
  --prompt "A surfer walking out of the ocean at sunrise carrying a board"

Download

Weights: badaramoni_krea2_realism_fusion_r128_fp16.safetensors (rank 128, fp16, musubi lora_unet_* keys).

Method

Built with a custom format-agnostic merger:

• Mixed LoRA + LoKR adapters reconstructed into a shared ΔW space
• Equal-weight blend, then truncated SVD back to rank 128
• Per-module processing so large Kronecker deltas stay in VRAM budget
• Output is one portable LoRA — no multi-adapter stack required at inference

This release is a merge, not a from-scratch training run. The contribution is the fusion algorithm that makes mixed-format realism adapters usable as a single file.

License

Downstream use follows the Krea 2 Community License. You must have access to krea/Krea-2-Turbo to run this adapter.