Duplicate from trysem/prealnf

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README.md

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+---
+title: DreamlikeArt-PhotoReal 2.0
+emoji: 📈
+colorFrom: blue
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.16.1
+app_file: app.py
+pinned: false
+duplicated_from: trysem/prealnf
+---
+---
+title: DreamlikeArt-PhotoReal 2.0
+emoji: 📈
+colorFrom: blue
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.16.1
+app_file: app.py

app.py

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+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):
+    return text_gen("photo, " + prompt_text)
+proc1=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")
+
+def restart_script_periodically():
+    while True:
+        time.sleep(600) # 10 minutes
+        try:
+            os.execl(sys.executable, sys.executable, *sys.argv)
+        except:
+            pass
+
+restart_thread = Thread(target=restart_script_periodically, daemon=True)
+restart_thread.start()
+
+queue = Queue()
+queue_threshold = 800
+
+def add_random_noise(prompt, noise_level=0.00):
+    if noise_level == 0:
+        noise_level = 0.00
+    # Get the percentage of characters to add as noise
+    percentage_noise = noise_level * 5
+    # Get the number of characters to add as noise
+    num_noise_chars = int(len(prompt) * (percentage_noise/100))
+    # Get the indices of the characters to add noise to
+    noise_indices = random.sample(range(len(prompt)), num_noise_chars)
+    # Add noise to the selected characters
+    prompt_list = list(prompt)
+    # Add numbers, special characters, and all emojis to the list of characters used to add noise
+    noise_chars = string.ascii_letters + string.punctuation + ' ' + string.digits + emoji.emojize(":all:")
+    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)
+    output1 = proc1(prompt_with_noise)
+    return output1
+
+def send_it2(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = add_random_noise(inputs, noise_level)
+    output2 = proc1(prompt_with_noise)
+    return output2
+
+#def send_it3(inputs, noise_level, proc1=proc1):
+    #prompt_with_noise = add_random_noise(inputs, noise_level)
+    #output3 = proc1(prompt_with_noise)
+    #return output3
+
+#def send_it4(inputs, noise_level, proc1=proc1):
+    #prompt_with_noise = add_random_noise(inputs, noise_level)
+    #output4 = proc1(prompt_with_noise)
+    #return output4
+
+
+
+with gr.Blocks(css="footer {visibility: hidden}") 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'",
+            ).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)

requirements.txt

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+accelerate==0.12.0
+gradio
+xformers
+emoji

style.css

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+#col-container {
+    max-width: 800px;
+    margin-left: auto;
+    margin-right: auto;
+}
+a {
+    color: inherit;
+    text-decoration: underline;
+}
+.gradio-container {
+    font-family: 'IBM Plex Sans', sans-serif;
+}
+.gr-button {
+    color: white;
+    border-color: #9d66e5;
+    background: #9d66e5;
+}
+input[type='range'] {
+    accent-color: #9d66e5;
+}
+.dark input[type='range'] {
+    accent-color: #dfdfdf;
+}
+.container {
+    max-width: 800px;
+    margin: auto;
+    padding-top: 1.5rem;
+}
+#gallery {
+    min-height: 22rem;
+    margin-bottom: 15px;
+    margin-left: auto;
+    margin-right: auto;
+    border-bottom-right-radius: .5rem !important;
+    border-bottom-left-radius: .5rem !important;
+}
+#gallery>div>.h-full {
+    min-height: 20rem;
+}
+.details:hover {
+    text-decoration: underline;
+}
+.gr-button {
+    white-space: nowrap;
+}
+.gr-button:focus {
+    border-color: rgb(147 197 253 / var(--tw-border-opacity));
+    outline: none;
+    box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
+    --tw-border-opacity: 1;
+    --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
+    --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
+    --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
+    --tw-ring-opacity: .5;
+}
+#advanced-options {
+    margin-bottom: 20px;
+}
+.footer {
+    margin-bottom: 45px;
+    margin-top: 35px;
+    text-align: center;
+    border-bottom: 1px solid #e5e5e5;
+}
+.footer>p {
+    font-size: .8rem;
+    display: inline-block;
+    padding: 0 10px;
+    transform: translateY(10px);
+    background: white;
+}
+.dark .logo{ filter: invert(1); }
+.dark .footer {
+    border-color: #303030;
+}
+.dark .footer>p {
+    background: #0b0f19;
+}
+.acknowledgments h4{
+    margin: 1.25em 0 .25em 0;
+    font-weight: bold;
+    font-size: 115%;
+}
+