metadata
language:
- en
base_model:
- krea/Krea-2-Turbo
pipeline_tag: text-to-image
library_name: diffusers
license: other
license_name: krea-2-community-license
license_link: https://huggingface.co/krea/Krea-2-LoRA-impressionist/blob/main/LICENSE.pdf
instance_prompt: azure sunlit storybook style
tags:
- lora
- text-to-image
- krea
- krea-2
- fal-ai
- template:diffusion-lora
- illustration
widget:
- text: a city skyline at night. azure sunlit storybook style
output:
url: images/ex_1.png
- text: a quiet forest path in autumn. azure sunlit storybook style
output:
url: images/ex_2.png
- text: a red fox in tall grass. azure sunlit storybook style
output:
url: images/ex_3.png
- text: a sailboat on a calm sea. azure sunlit storybook style
output:
url: images/ex_4.png
- text: a lighthouse on a rocky cliff. azure sunlit storybook style
output:
url: images/ex_5.png
- text: a still life of fruit and a vase. azure sunlit storybook style
output:
url: images/ex_6.png
Azure Sunlit Storybook
fal · Krea 2 Style LoRA series. One of 1600+ style LoRAs trained on fal.
A Krea 2 style LoRA. Add the trigger azure sunlit storybook style to the end of your prompt.
- Prompt
- a city skyline at night. azure sunlit storybook style
- Prompt
- a quiet forest path in autumn. azure sunlit storybook style
- Prompt
- a red fox in tall grass. azure sunlit storybook style
- Prompt
- a sailboat on a calm sea. azure sunlit storybook style
- Prompt
- a lighthouse on a rocky cliff. azure sunlit storybook style
- Prompt
- a still life of fruit and a vase. azure sunlit storybook style
Quick start
| Parameter | Value |
|---|---|
| Trigger | azure sunlit storybook 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
import fal_client
result = fal_client.subscribe(
"fal-ai/krea-2/turbo/lora",
arguments={
"prompt": "a lighthouse on a rocky cliff. azure sunlit storybook style",
"loras": [{"path": "https://huggingface.co/ilkerzgi/krea-2-azure-sunlit-storybook-lora/resolve/main/azure-sunlit-storybook.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. azure sunlit storybook style",
loras: [{ path: "https://huggingface.co/ilkerzgi/krea-2-azure-sunlit-storybook-lora/resolve/main/azure-sunlit-storybook.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:
import fal_client
result = fal_client.subscribe(
"fal-ai/krea-2-trainer",
arguments={
"images_data_url": "https://.../your-dataset.zip",
"trigger_phrase": "azure sunlit storybook style",
"steps": 100,
"learning_rate": 0.00035,
},
)
print(result)
License
Krea 2 Community License. See the license.