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k2styles/krea-2-bold-green-risograph-lora

sourceHugging Faceotherupdated 3mo agoView on Hugging Face
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<picture> <source media="(prefers-color-scheme: dark)" srcset="https://huggingface.co/ilkerzgi/krea-2-bold-green-risograph-lora/resolve/main/fal-dark.png"> <img src="https://huggingface.co/ilkerzgi/krea-2-bold-green-risograph-lora/resolve/main/fal-light.png" alt="fal" height="18"> </picture>

Bold Green Risograph

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

A Krea 2 style LoRA. Add the trigger `bold green risograph style` to the end of your prompt.

![Run on fal.ai](https://fal.ai/models/fal-ai/krea-2/turbo/lora) ![Train on fal.ai](https://fal.ai/models/fal-ai/krea-2-trainer) ![Krea 2](https://huggingface.co/krea/Krea-2-Turbo)

<Gallery />

Quick start

ParameterValue
Triggerbold green risograph style
Recommended LoRA scale1.0 to 1.25
Base modelkrea/Krea-2-Turbo
Trained onfal-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. bold green risograph style",
        "loras": [{"path": "https://huggingface.co/ilkerzgi/krea-2-bold-green-risograph-lora/resolve/main/bold-green-risograph.safetensors", "scale": 1.0}],
        "image_size": {"width": 1024, "height": 1280},
    },
)
print(result["images"][0]["url"])

JavaScript

js
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. bold green risograph style",
    loras: [{ path: "https://huggingface.co/ilkerzgi/krea-2-bold-green-risograph-lora/resolve/main/bold-green-risograph.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": "bold green risograph style",
        "steps": 100,
        "learning_rate": 0.00035,
    },
)
print(result)

License

Krea 2 Community License. See the license.