Golden Misty Xianxia
fal · Krea 2 Style LoRA series. One of 1600+ style LoRAs trained on fal.
A Krea 2 style LoRA. Add the trigger golden misty xianxia style to the end of your prompt.
Quick start
| Parameter | Value |
|---|---|
| Trigger | golden misty xianxia 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. golden misty xianxia style",
"loras": [{"path": "https://huggingface.co/ilkerzgi/krea-2-golden-misty-xianxia-lora/resolve/main/golden-misty-xianxia.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. golden misty xianxia style",
loras: [{ path: "https://huggingface.co/ilkerzgi/krea-2-golden-misty-xianxia-lora/resolve/main/golden-misty-xianxia.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": "golden misty xianxia 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: golden-misty-xianxia-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 golden-misty-xianxia.safetensors is for fal / diffusers.