Instructions to use ostris/krea2_turbo_style_reference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/krea2_turbo_style_reference with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ostris/krea2_turbo_style_reference") prompt = "a white yeti with horns reading a book that is titled \"Ostris + Krea2 Style Reference\"" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 Style Reference LoRA

- Prompt
- a white yeti with horns reading a book that is titled "Ostris + Krea2 Style Reference"

- Prompt
- a white yeti with horns reading a book that is titled "Ostris + Krea2 Style Reference"

- Prompt
- a white yeti with horns reading a book that is titled "Ostris + Krea2 Style Reference"

- Prompt
- a white yeti with horns reading a book that is titled "Ostris + Krea2 Style Reference"

- Prompt
- a white yeti with horns reading a book that is titled "Ostris + Krea2 Style Reference"

- Prompt
- a white yeti with horns reading a book that is titled "Ostris + Krea2 Style Reference"
Model description
This LoRA will allow you to inference on the Krea2 Turbo model in the style of a reference image. It was trained with AI Toolkit using the experimental Krea2 reference image trainer with the turbo training adapter. It was trained on thousands of hand curated style pairs I have been building over the years. It was trained to handle 1-2 reference images.
For inference in Comfy UI you will need this custom node. ComfyUI-Krea2-Ostris-Edit Use the template in that repo with this lora for the effect. No trigger word is needed just image and prompt.
For diffusers, there is a communiuty pipeline here ostris/Krea2OstrisEdit. You can run it like below:
import torch
from diffusers import DiffusionPipeline
from PIL import Image
pipe = DiffusionPipeline.from_pretrained(
"krea/Krea-2-Turbo",
custom_pipeline="ostris/Krea2OstrisEdit",
torch_dtype=torch.bfloat16,
)
pipe.enable_model_cpu_offload() # or pipe.to("cuda") with ~40+ GB of VRAM
# An AI-Toolkit Krea 2 LoRA, e.g. the style reference LoRA
pipe.load_lora_weights(
"ostris/krea2_turbo_style_reference", weight_name="krea2_style_reference.safetensors"
)
image = pipe(
"a white yeti with horns reading a book",
image=Image.open("style_reference.png"), # one reference image or a list of them
).images[0]
image.save("output.png")
Download model
Download them in the Files & versions tab.
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