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import gradio as gr | |
import requests | |
import json | |
from gradio_client import Client | |
client = Client("artificialguybr/RealVisXL-Free-DEMO") | |
result = client.predict( | |
prompt="Hello!!", | |
negative_prompt="", | |
seed=0, | |
custom_width=896, | |
custom_height=1152, | |
guidance_scale=7, | |
num_inference_steps=28, | |
sampler="DPM++ 2M SDE Karras", | |
aspect_ratio_selector="1024 x 1024", | |
use_upscaler=False, | |
upscaler_strength=0.55, | |
upscale_by=1.5, | |
api_name="/run" | |
) | |
print(result) | |
app.launch(show_api=False, share=False, error=True) |