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import gradio as gr
from gradio_client import Client
client = Client("hysts/SDXL")
def text_to_image(prompt):
img = client.predict(prompt, "", "", "", api_name="/run")
return img
with gr.Blocks() as demo:
image = gr.Image()
prompt = gr.Textbox(max_lines=1)
prompt.submit(text_to_image, [prompt], [image])
demo.launch()
# demo = gr.load("spaces/hysts/SDXL")
# demo.launch() |