Create app.py
Browse files
app.py
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| 1 |
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import gradio as gr
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import os
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import sys
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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("models/Gustavosta/MagicPrompt-Stable-Diffusion")
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proc1 = gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")
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def restart_script_periodically():
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while True:
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random_time = random.randint(540, 600)
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time.sleep(random_time)
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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=0.00):
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if noise_level == 0:
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noise_level = 0.00
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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 = list(string.ascii_letters + string.punctuation + ' ' + string.digits)
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noise_chars.extend(['๐', '๐ฉ', '๐', '๐ค', '๐', '๐ค', '๐ญ', '๐', '๐ท', '๐คฏ', '๐คซ', '๐ฅด', '๐ด', '๐คฉ', '๐ฅณ', '๐', '๐ฉ', '๐คช', '๐', '๐คข', '๐', '๐น', '๐ป', '๐ค', '๐ฝ', '๐', '๐', '๐
', '๐', '๐', '๐', '๐', '๐', '๐', '๐ฎ', 'โค๏ธ', '๐', '๐', '๐', '๐', '๐ถ', '๐ฑ', '๐ญ', '๐น', '๐ฆ', '๐ป', '๐จ', '๐ฏ', '๐ฆ', '๐', '๐ฅ', '๐ง๏ธ', '๐', '๐', '๐ฅ', '๐ด', '๐', '๐บ', '๐ป', '๐ธ', '๐จ', '๐
', '๐', 'โ๏ธ', 'โ๏ธ', 'โ๏ธ', 'โ๏ธ', '๐ค๏ธ', 'โ
๏ธ', '๐ฅ๏ธ', '๐ฆ๏ธ', '๐ง๏ธ', '๐ฉ๏ธ', '๐จ๏ธ', '๐ซ๏ธ', 'โ๏ธ', '๐ฌ๏ธ', '๐จ', '๐ช๏ธ', '๐'])
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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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# Existing code...
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import uuid # Import the UUID library
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# Existing code...
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# Existing code...
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request_counter = 0 # Global counter to track requests
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def send_it1(inputs, noise_level, proc=proc1):
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global request_counter
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request_counter += 1
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timestamp = f"{time.time()}_{request_counter}"
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prompt_with_noise = add_random_noise(inputs, noise_level) + f" - {timestamp}"
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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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output = proc(prompt_with_noise)
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return output
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import random
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import random
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import time
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# ... (existing code)
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import random
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import time
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# ... (existing code)
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def get_prompts(prompt_text):
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global request_counter
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request_counter += 1
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timestamp = f"{time.time()}_{request_counter}"
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options = [
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"Cyberpunk android",
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"2060",
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"newyork",
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", style of laurie greasley" , "studio ghibli" , "akira toriyama" , "james gilleard" , "genshin impact" , "trending pixiv fanbox" , "acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details"
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", Editorial Photography, Shot on 70mm lens, Depth of Field, Bokeh, DOF, Tilt Blur, Shutter Speed 1/1000, F/22, 32k, Super-Resolution, award winning,",
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", high detail, warm lighting, godrays, vivid, beautiful, trending on artstation, by jordan grimmer, huge scene, grass, art greg rutkowski ",
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", highly detailed, digital painting, artstation, illustration, art by artgerm and greg rutkowski and alphonse mucha.",
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", Charlie Bowater, stanley artgerm lau, a character portrait, sots art, sharp focus, smooth, aesthetic, extremely detailed, octane render,solo, dark industrial background, rtx, rock clothes, cinematic light, intricate detail, highly detailed, high res, detailed facial features",
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", portrait photograph" , "realistic" , "concept art" , "elegant, highly detailed" , "intricate, sharp focus, depth of field, f/1. 8, 85mm, medium shot, mid shot, (((professionally color graded)))" ," sharp focus, bright soft diffused light" , "(volumetric fog),",
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",Cinematic film still" ," (dark city street:1.2)" , "(cold colors), damp, moist, intricate details" ,"shallow depth of field, [volumetric fog]" , "cinematic lighting, reflections, photographed on a Canon EOS R5, 50mm lens, F/2.8, HDR, 8k resolution" , "cinematic film still from cyberpunk movie" , "volumetric fog, (RAW, analog, masterpiece, best quality, soft particles, 8k, flawless perfect face, intricate details" , "trending on artstation, trending on cgsociety, dlsr, ultra sharp, hdr, rtx, antialiasing, canon 5d foto))" , "((skin details, high detailed skin texture))" , "(((perfect face))), (perfect eyes)))",
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# Add other prompt options here...
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]
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if prompt_text:
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chosen_option = random.choice(options)
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return text_gen(f"{prompt_text}, {chosen_option} - {timestamp}")
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else:
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return text_gen("", timestamp)
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# Existing code...
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# Existing code...
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with gr.Blocks(css=".gradio-container {background-color: #fdf7e6;} footer{display:none !important;}",) as demo:
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gr.HTML("""
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<div style="text-align: center; max-width: 700px; margin: 0 auto;">
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<div
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style="
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display: inline-flex;
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align-items: center;
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gap: 0.8rem;
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font-size: 1.75rem;
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"
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>
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<div>
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<h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">
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Dreamlike Photoreal 2.0
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</h1>
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</div>
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</div>
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</div>
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<p style="margin-bottom: 10px; font-size: 96%">
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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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</p>
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</div>
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""")
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with gr.Column(elem_id="col-container"):
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with gr.Row(variant="compact"):
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input_text = gr.Textbox(
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lines=8,
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label="Short Prompt",
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show_label=False,
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max_lines=10,
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placeholder="Enter a basic idea and click 'Magic Prompt'. Got no ideas? No problem, Simply just hit the magic button!",
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).style(
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container=False,
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textarea={'height': '400px'}
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)
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see_prompts = gr.Button("โจ Magic Prompt โจ").style(full_width=False)
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| 141 |
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with gr.Row(variant="compact"):
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prompt = gr.Textbox(
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lines=8,
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label="Enter your prompt",
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show_label=False,
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max_lines=10,
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placeholder="Full Prompt",
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).style(
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container=False,
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textarea={'height': '400px'}
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)
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run = gr.Button("Generate Images").style(full_width=False)
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with gr.Row():
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with gr.Row():
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noise_level = gr.Slider(minimum=0.0, maximum=3, step=0.1, label="Noise Level")
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with gr.Row():
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with gr.Row():
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output1 = gr.Image(label="Dreamlike Diffusion 1.0", show_label=False, show_share_button=False)
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output2 = gr.Image(label="Dreamlike Diffusion 1.0", show_label=False, show_share_button=False)
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| 163 |
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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_it1, inputs=[prompt, noise_level], outputs=[output2])
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gr.HTML("""
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<div class="footer" style="margin-bottom: 45px;
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margin-top: 35px;
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text-align: center;
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border-bottom: 1px solid #e5e5e5"
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>
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<p style="font-size: .8rem;
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display: inline-block;
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padding: 0 10px;
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transform: translateY(10px);
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background: white" > Demo for <a href="https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0">Dreamlike Photoreal 2.0</a> Stable Diffusion model
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</p>
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</div>
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<div class="acknowledgments" style="margin: 1.25em 0 .25em 0;
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font-size: 96%">
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<p> โค๏ธUnleash your creative side and generate mesmerizing images with just a few clicks! Enter a spark of inspiration in the "Basic Idea" text box and click the "Magic Prompt" button to elevate it to a polished masterpiece. Make any final tweaks in the "Full Prompt" box and hit the "Generate Images" button to watch your vision come to life. Experiment with the "Noise Level" for a diverse range of outputs, from similar to wildly unique. Let the fun begin!โค๏ธ
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</p>
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</div>
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""")
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demo.launch(enable_queue=True, inline=True)
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