Duplicate from phenomenon1981/DreamlikeArt-PhotoReal-2.0

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

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text

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
+
+queue = Queue()
+queue_threshold = 30
+
+text_gen=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion")
+proc1=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0", live=True)
+
+def reset_queue_periodically():
+    start_time = time.time()
+    while True:
+        if time.time() - start_time >= 300: # 5 minutes
+            queue.queue.clear()
+            start_time = time.time()
+
+reset_queue_thread = Thread(target=reset_queue_periodically, daemon=True)
+reset_queue_thread.start()
+
+
+def add_random_noise(prompt, 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)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(1)
+    queue.put(prompt_with_noise)
+    output1 = proc1(queue.get())
+    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(1)
+    queue.put(prompt_with_noise)
+    output2 = proc1(queue.get())
+    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(1)
+    queue.put(prompt_with_noise)
+    output3 = proc1(queue.get())
+    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(1)
+    queue.put(prompt_with_noise)
+    output4 = proc1(queue.get())
+    return output4
+
+def send_it5(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = add_random_noise(inputs, noise_level)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(1)
+    queue.put(prompt_with_noise)
+    output5 = proc1(queue.get())
+    return output5
+
+def send_it6(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = add_random_noise(inputs, noise_level)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(1)
+    queue.put(prompt_with_noise)
+    output6 = proc1(queue.get())
+    return output6
+
+def send_it7(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = add_random_noise(inputs, noise_level)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(1)
+    queue.put(prompt_with_noise)
+    output7 = proc1(queue.get())
+    return output7
+
+def send_it8(inputs, noise_level, proc1=proc1):
+    prompt_with_noise = add_random_noise(inputs, noise_level)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(1)
+    queue.put(prompt_with_noise)
+    output8 = proc1(queue.get())
+    return output8
+
+
+def get_prompts(prompt_text):
+    while queue.qsize() >= queue_threshold:
+        time.sleep(1)
+    queue.put(prompt_text)
+    output = text_gen(queue.get())
+    return output
+
+
+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=0.1, 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")
+    with gr.Row():
+        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")
+
+    
+    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])
+    see_prompts.click(get_prompts, inputs=[input_text], outputs=[prompt])
+
+myface.launch(enable_queue=True, inline=True)
+myface.queue(concurrency_count=30,status_update_rate=1)
+reset_queue_thread.join()

requirements.txt

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+accelerate==0.12.0
+gradio
+xformers