import os
import fal_client
import requests
os.environ["FAL_KEY"] = "06ac9dcd-73fe-4799-9d80-9954eba39d84:f28d23d6abb91f26d2d337edc8cb9bf8"
result = fal_client.subscribe(
    "fal-ai/flux-2/lora",  # <-- Use FLUX.1 endpoint
    arguments={
        "prompt": "a photo of ISKA", # <-- Include trigger word
        "loras": [
            {
                "path": "https://huggingface.co/YaroslavLinder/ISKA/resolve/main/flux.2/iska_flux2_000001500.safetensors",
                "scale": 1.0
            }
        ],
        "guidance_scale": 2.5,
        "num_inference_steps": 28
    }
)
print(result)
output_url=result['images'][0]['url']
response = requests.get(output_url)
with open("output.png", "wb") as f:
    f.write(response.content)