app.py

app.py

@@ -0,0 +1,157 @@
+import gradio as gr
+import os
+import sys
+from pathlib import Path
+import random
+import string
+import time
+from queue import Queue
+from threading import Thread
+import emoji
+
+text_gen=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion")
+def get_prompts(prompt_text):
+    if prompt_text:
+        return text_gen("photo, " + prompt_text)
+    else:
+        return text_gen("")
+proc1=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")
+
+def restart_script_periodically():
+    while True:
+        random_time = random.randint(540, 600)
+        time.sleep(random_time)
+        os.execl(sys.executable, sys.executable, *sys.argv)
+
+
+restart_thread = Thread(target=restart_script_periodically, daemon=True)
+restart_thread.start()
+
+
+queue = Queue()
+queue_threshold = 100
+
+def add_random_noise(prompt, noise_level=0.00):
+    if noise_level == 0:
+        noise_level = 0.00
+    percentage_noise = noise_level * 5
+    num_noise_chars = int(len(prompt) * (percentage_noise/100))
+    noise_indices = random.sample(range(len(prompt)), num_noise_chars)
+    prompt_list = list(prompt)
+    noise_chars = list(string.ascii_letters + string.punctuation + ' ' + string.digits)
+    noise_chars.extend(['😍', '💩', '😂', '🤔', '😊', '🤗', '😭', '🙄', '😷', '🤯', '🤫', '🥴', '😴', '🤩', '🥳', '😔', '😩', '🤪', '😇', '🤢', '😈', '👹', '👻', '🤖', '👽', '💀', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', '🐭', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', '🌈'])
+    for index in noise_indices:
+        prompt_list[index] = random.choice(noise_chars)
+    return "".join(prompt_list)
+
+
+def send_it1(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = add_random_noise(inputs, noise_level)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(prompt_with_noise)
+    output1 = proc1(prompt_with_noise)
+    return output1
+
+def send_it2(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = add_random_noise(inputs, noise_level)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(prompt_with_noise)
+    output2 = proc1(prompt_with_noise)
+    return output2
+
+#def send_it3(inputs, noise_level, proc1=proc1):
+    #prompt_with_noise = add_random_noise(inputs, noise_level)
+    #while queue.qsize() >= queue_threshold:
+        #time.sleep(2)
+    #queue.put(prompt_with_noise)
+    #output3 = proc1(prompt_with_noise)
+    #return output3
+
+#def send_it4(inputs, noise_level, proc1=proc1):
+    #prompt_with_noise = add_random_noise(inputs, noise_level)
+    #while queue.qsize() >= queue_threshold:
+        #time.sleep(2)
+    #queue.put(prompt_with_noise)
+    #output4 = proc1(prompt_with_noise)
+    #return output4
+
+
+
+with gr.Blocks(css='style.css') as demo:
+    gr.HTML(
+        """
+            <div style="text-align: center; max-width: 650px; margin: 0 auto;">
+              <div>
+                <h1 style="font-weight: 900; font-size: 3rem; margin-bottom:20px;">
+                  Dreamlike Photoreal 2.0
+                </h1>
+              </div>
+              <p style="margin-bottom: 10px; font-size: 96%">
+              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,
+                <a href="https://twitter.com/DavidJohnstonxx/">created by Phenomenon1981</a>.
+              </p>
+              <p style="margin-bottom: 10px; font-size: 98%">
+              ❤️ Press the Like Button if you enjoy my space! ❤️</a>
+              </p>
+            </div>
+        """
+    )
+    with gr.Column(elem_id="col-container"):
+        with gr.Row(variant="compact"):
+            input_text = gr.Textbox(
+                label="Short Prompt",
+                show_label=False,
+                max_lines=2,
+                placeholder="Enter a basic idea and click 'Magic Prompt'. Got no ideas? No problem, Simply just hit the magic button!",
+            ).style(
+                container=False,
+            )
+            see_prompts = gr.Button("✨ Magic Prompt ✨").style(full_width=False)
+
+        
+        with gr.Row(variant="compact"):
+            prompt = gr.Textbox(
+                label="Enter your prompt",
+                show_label=False,
+                max_lines=2,
+                placeholder="Full Prompt",
+            ).style(
+                container=False,
+            )
+            run = gr.Button("Generate Images").style(full_width=False)
+        
+        with gr.Row():
+            with gr.Row():
+                noise_level = gr.Slider(minimum=0.0, maximum=3, step=0.1, label="Noise Level")
+        with gr.Row():
+            with gr.Row():
+                output1=gr.Image(label="Dreamlike-photoreal-2.0",show_label=False)
+                output2=gr.Image(label="Dreamlike-photoreal-2.0",show_label=False)
+        
+    #with gr.Row():
+        #output1=gr.Image()
+
+        see_prompts.click(get_prompts, inputs=[input_text], outputs=[prompt], queue=False)
+        run.click(send_it1, inputs=[prompt, noise_level], outputs=[output1])
+        run.click(send_it2, inputs=[prompt, noise_level], outputs=[output2])
+        
+
+
+        with gr.Row():
+                gr.HTML(
+    """
+        <div class="footer">
+        <p> Demo for <a href="https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0">Dreamlike Photoreal 2.0</a> Stable Diffusion model
+</p>
+</div>
+        <div class="acknowledgments" style="font-size: 115%">
+            <p> Unleash 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!
+            </p>
+        </div>
+    """
+)
+
+    demo.launch(enable_queue=True, inline=True)
+    block.queue(concurrency_count=100)