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import gradio as gr |
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import os |
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import sys |
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from pathlib import Path |
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import random |
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import string |
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import time |
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from queue import Queue |
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from threading import Thread |
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text_gen=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion") |
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def get_prompts(prompt_text): |
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return text_gen(prompt_text) |
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proc1=gr.Interface.load("models/dreamlike-art/dreamlike-diffusion-1.0") |
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def restart_script_periodically(): |
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while True: |
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time.sleep(600) |
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os.execl(sys.executable, sys.executable, *sys.argv) |
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restart_thread = Thread(target=restart_script_periodically, daemon=True) |
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restart_thread.start() |
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queue = Queue() |
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queue_threshold = 100 |
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def add_random_noise(prompt, noise_level=0.07): |
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if noise_level == 0: |
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noise_level = 0.07 |
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percentage_noise = noise_level * 5 |
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num_noise_chars = int(len(prompt) * (percentage_noise/100)) |
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noise_indices = random.sample(range(len(prompt)), num_noise_chars) |
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prompt_list = list(prompt) |
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noise_chars = string.ascii_letters + string.punctuation + ' ' |
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for index in noise_indices: |
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prompt_list[index] = random.choice(noise_chars) |
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return "".join(prompt_list) |
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def send_it1(inputs, noise_level, proc1=proc1): |
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prompt_with_noise = add_random_noise(inputs, noise_level) |
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while queue.qsize() >= queue_threshold: |
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time.sleep(2) |
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queue.put(prompt_with_noise) |
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output1 = proc1(prompt_with_noise) |
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return output1 |
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def send_it2(inputs, noise_level, proc1=proc1): |
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prompt_with_noise = add_random_noise(inputs, noise_level) |
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while queue.qsize() >= queue_threshold: |
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time.sleep(2) |
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queue.put(prompt_with_noise) |
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output2 = proc1(prompt_with_noise) |
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return output2 |
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def send_it3(inputs, noise_level, proc1=proc1): |
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prompt_with_noise = add_random_noise(inputs, noise_level) |
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while queue.qsize() >= queue_threshold: |
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time.sleep(2) |
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queue.put(prompt_with_noise) |
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output3 = proc1(prompt_with_noise) |
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return output3 |
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with gr.Blocks() as myface: |
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with gr.Row(): |
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input_text=gr.Textbox(label="Short Prompt") |
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see_prompts=gr.Button("Magic Prompt") |
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with gr.Row(): |
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prompt=gr.Textbox(label="Enter Prompt") |
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noise_level=gr.Slider(minimum=0.0, maximum=3, step=0.1, label="Noise Level: Controls how much randomness is added to the input before it is sent to the model. Higher noise level produces more diverse outputs, while lower noise level produces similar outputs.") |
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run=gr.Button("Generate") |
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with gr.Row(): |
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like_message = gr.Button("❤️❤️❤️ Press the Like Button if you enjoy my space! ❤️❤️❤️") |
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with gr.Row(): |
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output1=gr.Image(label="Dreamlike Diffusion 1.0") |
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output2=gr.Image(label="Dreamlike Diffusion 1.0") |
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output3=gr.Image(label="Dreamlike Diffusion 1.0") |
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see_prompts.click(get_prompts, inputs=[input_text], outputs=[prompt], queue=False) |
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run.click(send_it1, inputs=[prompt, noise_level], outputs=[output1]) |
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run.click(send_it2, inputs=[prompt, noise_level], outputs=[output2]) |
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run.click(send_it3, inputs=[prompt, noise_level], outputs=[output3]) |
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with gr.Row(): |
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article = gr.HTML(""" |
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Demo for <a href="https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0">Dreamlike Diffusion 1.0</a> Stable Diffusion model. |
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""") |
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myface.launch(enable_queue=True, inline=True) |
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block.queue(concurrency_count=100) |