Duplicate from phenomenon1981/DreamlikeArt-PhotoReal-2.0

Co-authored-by: Dee Jay <[email protected]>

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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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: phenomenon1981/DreamlikeArt-PhotoReal-2.0
+---
+---
+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
+
+
+text_gen=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion")
+def get_prompts(prompt_text):
+    return text_gen(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=0.07):
+    if noise_level == 0:
+        noise_level = 0.07
+    # 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)
+    noise_chars = string.ascii_letters + string.punctuation + ' '
+    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() as myface:
+    with gr.Row():
+
+        input_text=gr.Textbox(label="Short Prompt")
+        see_prompts=gr.Button("Magic Prompt")
+    with gr.Row():
+
+        prompt=gr.Textbox(label="Enter Prompt")
+        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.")
+        run=gr.Button("Generate")
+
+    with gr.Row():
+        like_message = gr.Button("❤️❤️❤️ Press the Like Button if you enjoy my space! ❤️❤️❤️")
+
+        
+    with gr.Row():
+        output1=gr.Image(label="Dreamlike-photoreal-2.0")
+        output2=gr.Image(label="Dreamlike-photoreal-2.0")
+        output3=gr.Image(label="Dreamlike-photoreal-2.0")
+        #output4=gr.Image(label="Dreamlike-photoreal-2.0")
+    #with gr.Row():
+        #output5=gr.Image(label="Dreamlike-photoreal-2.0")
+        #output6=gr.Image(label="Dreamlike-photoreal-2.0")
+    #with gr.Row():
+        #output7=gr.Image(label="Dreamlike-photoreal-2.0")
+        #output8=gr.Image(label="Dreamlike-photoreal-2.0")
+
+    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])
+    run.click(send_it3, inputs=[prompt, noise_level], outputs=[output3])
+    #run.click(send_it4, inputs=[prompt, noise_level], outputs=[output4])
+    #run.click(send_it5, inputs=[prompt, noise_level], outputs=[output5])
+    #run.click(send_it6, inputs=[prompt, noise_level], outputs=[output6])
+    #run.click(send_it7, inputs=[prompt, noise_level], outputs=[output7])
+    #run.click(send_it8, inputs=[prompt, noise_level], outputs=[output8])
+
+myface.launch(enable_queue=True, inline=True)
+block.queue(concurrency_count=100)

requirements.txt

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+accelerate==0.12.0
+gradio
+xformers