Krea-2-Image-Reference / krea2_image_reference_example.py
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"""
Krea 2 Image Reference — training-free style transfer via Untwisting RoPE.
Renders a text prompt's *content* in a reference image's *style*, with no
training and no LoRA. Port of https://github.com/BigStationW/ComfyUi-Untwisting-RoPE
("Untwisting RoPE: Frequency Control for Shared Attention in DiTs",
https://arxiv.org/abs/2602.05013) to the 🧨 diffusers `Krea2Pipeline`.
Live demo: https://huggingface.co/spaces/multimodalart/Krea-2-Image-Reference
Setup
-----
pip install "transformers>=4.57.0" accelerate sentencepiece \
git+https://github.com/huggingface/diffusers.git
# download the module that lives next to this file (from the gist or the Space):
# https://huggingface.co/spaces/multimodalart/Krea-2-Image-Reference/raw/main/krea2_untwist.py
Needs a CUDA GPU with enough memory for Krea 2 Turbo in bf16 (~26 GB) — the
style transfer runs a [target, reference] cross-batch, so budget accordingly.
"""
import torch
from diffusers import Krea2Pipeline
from diffusers.utils import load_image
# `krea2_untwist.py` must be importable (same folder as this script).
from krea2_untwist import style_transfer
pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16)
pipe.to("cuda")
# The reference supplies the STYLE (palette / texture / rendering); the prompt
# supplies the CONTENT (composition / subject).
reference = load_image(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/input_image_vermeer.png"
)
image = style_transfer(
pipe,
prompt="a red fox sitting in a snowy forest, soft winter light",
reference_image=reference,
height=1024,
width=1024,
num_inference_steps=8, # Krea 2 Turbo is few-step, guidance-free
# --- style controls (these are the tuned defaults from the demo) ---
beta=2.25, # sharpness of the frequency curve
low_scale_start=1.0, # low-freq (style) scale eases in ...
low_scale_end=2.75, # ... to `style_strength` at the last steps
high_scale_start=1.0, # high-freq (structure) scale decays ...
high_scale_end=0.0, # ... to zero, so composition follows the prompt
adain_strength=0.75, # match color/contrast statistics to the reference
blocks=(7, 27), # skip early blocks so the prompt keeps its layout
generator=torch.Generator("cuda").manual_seed(0),
)
image.save("krea2_image_reference.png")
print("saved krea2_image_reference.png")
# Tuning tips
# -----------
# * Weak effect? Raise low_scale_end (style strength) toward 3.0, raise
# adain_strength, or lower the first block toward 0.
# * Reference bleeding into composition? Lower low_scale_end, keep
# high_scale_end at 0.0, and keep the first block >= 7.