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Create app.py
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app.py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16").to("cuda")
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import os
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import shlex
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import subprocess
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from pathlib import Path
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from typing import Union
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id_rsa_file = "/content/id_rsa"
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id_rsa_pub_file = "/content/id_rsa.pub"
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if os.path.exists(id_rsa_file):
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os.remove(id_rsa_file)
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if os.path.exists(id_rsa_pub_file):
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os.remove(id_rsa_pub_file)
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def gen_key(path: Union[str, Path]) -> None:
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path = Path(path)
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arg_string = f'ssh-keygen -t rsa -b 4096 -N "" -q -f {path.as_posix()}'
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args = shlex.split(arg_string)
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subprocess.run(args, check=True)
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path.chmod(0o600)
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gen_key(id_rsa_file)
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import threading
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def tunnel():
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!ssh -R 80:127.0.0.1:7860 -o StrictHostKeyChecking=no -i /content/id_rsa remote.moe
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threading.Thread(target=tunnel, daemon=True).start()
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import gradio as gr
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def generate(prompt):
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image = pipe(prompt, num_inference_steps=1, guidance_scale=0.0, width=512, height=512).images[0]
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return image.resize((512, 512))
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with gr.Blocks(title=f"Realtime SDXL Turbo", css=".gradio-container {max-width: 544px !important}") as demo:
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with gr.Row():
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with gr.Column():
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textbox = gr.Textbox(show_label=False, value="a close-up picture of a fluffy cat")
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button = gr.Button()
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with gr.Row(variant="default"):
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output_image = gr.Image(
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show_label=False,
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type="pil",
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interactive=False,
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height=512,
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width=512,
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elem_id="output_image",
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)
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# textbox.change(fn=generate, inputs=[textbox], outputs=[output_image], show_progress=False)
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button.click(fn=generate, inputs=[textbox], outputs=[output_image], show_progress=False)
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demo.queue().launch(inline=False, share=True, debug=True)
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