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ilkerzgi/
krea-2-meiji-woodblock-print-lora

Name: krea-2-meiji-woodblock-print-lora
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Meiji Woodblock Print

fal · Krea 2 Style LoRA series. One of 1600+ style LoRAs trained on fal.

A Krea 2 style LoRA. Add the trigger meiji woodblock print style to the end of your prompt.

Quick start

Parameter	Value
Trigger	`meiji woodblock print style`
Recommended LoRA scale	`1.0` to `1.25`
Base model	`krea/Krea-2-Turbo`
Trained on	fal-ai/krea-2-trainer

Inference on fal

Python

python

import fal_client

result = fal_client.subscribe(
    "fal-ai/krea-2/turbo/lora",
    arguments={
        "prompt": "a lighthouse on a rocky cliff. meiji woodblock print style",
        "loras": [{"path": "https://huggingface.co/ilkerzgi/krea-2-meiji-woodblock-print-lora/resolve/main/meiji-woodblock-print.safetensors", "scale": 1.0}],
        "image_size": {"width": 1024, "height": 1280},
    },
)
print(result["images"][0]["url"])

JavaScript

import { fal } from "@fal-ai/client";

const { data } = await fal.subscribe("fal-ai/krea-2/turbo/lora", {
  input: {
    prompt: "a lighthouse on a rocky cliff. meiji woodblock print style",
    loras: [{ path: "https://huggingface.co/ilkerzgi/krea-2-meiji-woodblock-print-lora/resolve/main/meiji-woodblock-print.safetensors", scale: 1.0 }],
    image_size: { width: 1024, height: 1280 },
  },
});
console.log(data.images[0].url);

Train your own on fal

Every LoRA in this series is trained on fal-ai/krea-2-trainer (100 steps, learning rate 3.5e-4). Train your own style from 4 to 10 reference images:

python

import fal_client

result = fal_client.subscribe(
    "fal-ai/krea-2-trainer",
    arguments={
        "images_data_url": "https://.../your-dataset.zip",
        "trigger_phrase": "meiji woodblock print style",
        "steps": 100,
        "learning_rate": 0.00035,
    },
)
print(result)

License

Krea 2 Community License. See the license.

ComfyUI

A ComfyUI-compatible copy of the weights is included in this repo: meiji-woodblock-print-comfy.safetensors. It is the exact same LoRA with the key prefix remapped (base_model.model. to diffusion_model.) so ComfyUI loads it directly. Download that file into ComfyUI/models/loras/ and use it like any other LoRA. The original meiji-woodblock-print.safetensors is for fal / diffusers.