Update app.py

app.py

@@ -1,415 +1,4 @@
-import gradio as gr
-import os 
-import sys
-from pathlib import Path
-import time
-  
- 
-text_gen=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion",live=True, preprocess=True)
-
-
-proc1=gr.Interface.load("models/nitrosocke/Arcane-Diffusion", live=True, every=5,preprocess=True, postprocess=False)
-proc2=gr.Interface.load("models/naclbit/trinart_stable_diffusion_v2", live=False, preprocess=True, postprocess=False)
-proc3=gr.Interface.load("models/nitrosocke/redshift-diffusion", live=False, preprocess=True, postprocess=False)
-proc4=gr.Interface.load("models/runwayml/stable-diffusion-v1-5", live=False, preprocess=True, postprocess=False)
-
-proc5=gr.Interface.load("models/claudfuen/photorealistic-fuen-v1", live=False, preprocess=True, postprocess=False)
-proc6=gr.Interface.load("models/CompVis/stable-diffusion-v1-4", live=False, preprocess=True, postprocess=False)
-proc7=gr.Interface.load("models/Linaqruf/anything-v3.0", live=False, preprocess=True, postprocess=False)
-proc8=gr.Interface.load("models/andite/anything-v4.0", live=False, preprocess=True, postprocess=False)
-
-proc9=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-1.0", live=False, preprocess=True, postprocess=False)
-proc10=gr.Interface.load("models/prompthero/openjourney", live=False, preprocess=True, postprocess=False)
-proc11=gr.Interface.load("models/prompthero/midjourney-v4-diffusion", live=False, preprocess=True, postprocess=False)
-proc12=gr.Interface.load("models/wavymulder/Analog-Diffusion", live=False, preprocess=True, postprocess=False)
-
-
-#proc13=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")
-#proc14=gr.Interface.load("models/wavymulder/Analog-Diffusion")
-#proc15=gr.Interface.load("models/nitrosocke/redshift-diffusion")
-#proc16=gr.Interface.load("models/prompthero/midjourney-v4-diffusion")
-# Import the library signal
-#import signal
-# Define an alarm clock for delivery of signal
-#signal.signal(signal.SIGALRM, lambda signum,frame: print('\nYour time got over'))
-
-
-def get_prompts(prompt_text):
-    return text_gen(prompt_text)
-
-
-
-# Import the libraries
-from threading import Timer
-# Take seconds as integer input
-# for the time limit per question
-input_time = 5
-# Set the timer for the specified time and call the
-# function to print the message when time is over
-t = Timer(input_time, lambda: print("\nYour writing time is over!!\nEnter / to quit the program"))
 
-
-def send_it1(inputs,proc1=proc1):
-#############
-    output1=None
-    # Start the timer
-    t.start()
-    while t < input_time:
-            
-        output1=proc1(inputs)
-    else:   
-        output1=None
-        pass
-    t.cancel()
-
-    return output1
-
-
-def send_it2(inputs,proc2=proc2):
-    timeout = time.time() + 60/5   # 5 minutes from now
-    while True:
-        output2=proc2(inputs)
-        if time.time() > timeout:
-            break
-    return(output2)
-def send_it3(inputs,proc3=proc3):
-    timeout = time.time() + 60/5   # 5 minutes from now
-    while True:
-        output3=proc3(inputs)
-        if time.time() > timeout:
-            break
-    return(output3)
-def send_it4(inputs,proc4=proc4):
-    timeout = time.time() + 60/5   # 5 minutes from now
-    while True:
-        output4=proc4(inputs)
-        if time.time() > timeout:
-            break
-    return(output4)
-
-def send_it5(inputs,proc5=proc5):
-        output5=proc5(inputs)
-        return(output5)
-def send_it6(inputs,proc6=proc6):
-        output6=proc6(inputs)
-        return(output6)
-def send_it7(inputs,proc7=proc7):
-        output7=proc7(inputs)
-        return(output7)
-def send_it8(inputs,proc8=proc8):
-        output8=proc8(inputs)
-        return(output8)
-
-def send_it9(inputs,proc9=proc9):
-        output9=proc9(inputs)
-        return(output9)
-def send_it10(inputs,proc10=proc10):
-        output10=proc10(inputs)
-        return(output10)
-def send_it11(inputs,proc11=proc11):
-        output11=proc11(inputs)
-        return(output11)
-def send_it12(inputs,proc12=proc12):
-        output12=proc12(inputs)
-        return(output12)
-
-'''
-def up_it1(inputs,proc1=proc1):
-        output1=proc1(inputs)
-        return(output1)
-def up_it2(inputs,proc2=proc2):
-        output2=proc2(inputs)
-        return(output2)
-def up_it3(inputs,proc3=proc3):
-        output3=proc3(inputs)
-        return(output3)
-def up_it4(inputs,proc4=proc4):
-        output4=proc4(inputs)
-        return(output4)
-
-def up_it5(inputs,proc5=proc5):
-        output5=proc5(inputs)
-        return(output5)
-def up_it6(inputs,proc6=proc6):
-        output6=proc6(inputs)
-        return(output6)
-def up_it7(inputs,proc7=proc7):
-        output7=proc7(inputs)
-        return(output7)
-def up_it8(inputs,proc8=proc8):
-        output8=proc8(inputs)
-        return(output8)
-
-def up_it9(inputs,proc9=proc9):
-        output9=proc9(inputs)
-        return(output9)
-def up_it10(inputs,proc10=proc10):
-        output10=proc10(inputs)
-        return(output10)
-def up_it11(inputs,proc11=proc11):
-        output11=proc11(inputs)
-        return(output11)
-def up_it12(inputs,proc12=proc12):
-        output12=proc12(inputs)
-        return(output12)
-    
-#def send_it13(inputs,proc13=proc13):
-#        output13=proc13(inputs)
-#        return(output13)
-#def send_it14(inputs,proc14=proc14):
-#        output14=proc14(inputs)
-#        return(output14)
-#def send_it15(inputs,proc15=proc15):
-#        output15=proc15(inputs)
-#        return(output15)
-#def send_it16(inputs,proc16=proc16):
-#        output16=proc16(inputs)
-#        return(output16)    
-
-'''
-def main():
-#test = 0
-
-        
-    
-    #batch=True, max_batch_size=30
-    #max_batch_size=20
-    with gr.Blocks(batch=False) as myface:
-        with gr.Row():
-            with gr.Tab("Title"):
-                    gr.HTML("""    <title>Maximum Diffusion</title><div style="text-align: center; max-width: 1500px; margin: 0 auto;">
-                                                        <div
-                                                        style="
-                                                            display: inline-flex;
-                                                            align-items: center;
-                                                            gap: 0.8rem;
-                                                            font-size: 1.75rem;
-                                                            margin-bottom: 10px;
-                                                            line-height: 1em;
-                                                        "
-                                                        >
-                                                        <h1 style="font-weight: 1200; margin-top: 9px;">
-                                                         Maximum Diffusion   
-                                                        </h1>
-                                                        </div>
-                                                        <br>
-                                                        <br>
-                                                        <p style="margin-bottom: 10px;font-size: 94%;font-weight: 100;line-height: 1.5em;">
-                                                        Text to Image Model Comparison Space - CPU
-                                                        </p><br><br>
-                                                        <p style="margin-bottom: 10px;font-size: 94%;font-weight: 100;line-height: 1.5em;">
-                                                        Freaky Fast, when it's fresh<br>
-                                                        Try a Mirror, or DIY for Maximum Diffusion in minimum time.
-                                                        </p><br>
-                                                        
-    
-                                                    </div>
-                                                """)
-    
-    
-    
-            with gr.Tab("Description"):
-                gr.HTML("""<div style="text-align:center;">
-                <h4>Enter your Prompt into the "Short Prompt" box and click "Magic Prompt" to load a prettified version of your prompt<br>
-                When you are satisfied with the prompt that is in the "Text to Image" box, click "Launch" to load the Models.<br><br>
-                Images load faster with a simpler prompt.<br>  
-                Most images should load within 2 minutes.<br>
-                Some models become stuck on certain prompts, and refreshing the page seems to fix it.<br><br>
-                Not responsible for content, use at your own risk.
-                
-                </h4>
-                           </div>""")
-            with gr.Tab("DIY"):
-                gr.HTML("""<div style="text-align:Left;">
-                <h4>Copy/Paste this code in your app.py file<br><br>
-    
-                import gradio as gr<br>
-                max_d=gr.Interface.load("spaces/Omnibus/maximum_diffusion")<br>
-                max_d.launch()<br>                    
-                </h4>
-                           </div>""")                    
-    
-            with gr.Tab("Mirrors"):
-                gr.HTML("""<div style="text-align:center;vertical-align:center;">
-                <h4>Queue loading slow?  Try a Mirror:<br><br>
-                <a href="https://huggingface.co/spaces/Omnibus/maximum-diffusion-light">Maximum Diffusion Light 1</a><br>
-                <p><a href="https://huggingface.co/spaces/Omnibus/maximum-diffusion-light-1">Maximum Diffusion Light 2</a><br>
-                <p><a href="https://huggingface.co/spaces/Omnibus/maximum-diffusion-light-2">Maximum Diffusion Light 3</a>
-    
-                
-                </h4>
-                           </div>""")
-    
-    
-    
-                
-            
-    
-    
-            with gr.Tab("Credits"):
-                with gr.Row():
-                    gr.Column()
-                    with gr.Column(style="text-align:left;"):
-                        gr.HTML("""
-                                <div style="vertical-align:center">
-                                  <br>
-                                  <p>I learned everything I know from:
-                                  <p><a href="https://huggingface.co/spaces/anzorq/finetuned_diffusion">Finetuned Diffusion</a></p>
-                                  <p><a href="https://huggingface.co/spaces/Gustavosta/MagicPrompt-Stable-Diffusion">Magic Prompt Stable Diffusion</a></p>
-                                  <p><a href="https://huggingface.co/spaces/huggingface-projects/magic-diffusion">Magic Diffusion</a></p>
-                                  
-                                  <p>Models by <a href="https://huggingface.co/Gustavosta">@Gustavosta</a>, <a href="https://twitter.com/haruu1367">@haruu1367</a>, <a href="https://twitter.com/DGSpitzer">@Helixngc7293</a>, <a href="https://twitter.com/dal_mack">@dal_mack</a>, <a href="https://twitter.com/prompthero">@prompthero</a> and others.</p>
-                                </div>
-                                """)
-                    gr.Column()
-    
-                
-            with gr.Tab("Tools"):
-                        with gr.Tab("View"):
-                            with gr.Column(style="width=50%, height=70%"):
-                                    gr.Pil(label="Crop")
-                            with gr.Column(style="width=50%, height=70%"):
-                                    gr.Pil(label="Crop")
-                                
-                        
-                        with gr.Tab("Draw"):
-                            with gr.Column(style="width=50%, height=70%"):
-                                    gr.Pil(label="Crop")
-                            with gr.Column(style="width=50%, height=70%"):
-                                    gr.Pil(label="Draw")
-                            
-                            
-                                    gr.ImagePaint(label="Draw")
-                                        
-                        with gr.Tab("Text"):
-                            with gr.Row():
-    
-                                with gr.Column(scale=50):
-                                    gr.Textbox(label="", lines=8, interactive=True)            
-                                 
-    
-                                with gr.Column(scale=50):
-                                    gr.Textbox(label="", lines=8, interactive=True)
-    
-                        with gr.Tab("Color Picker"):
-                            with gr.Row():
-    
-                                with gr.Column(scale=50):
-                                    gr.ColorPicker(label="Color", interactive=True)            
-                                 
-    
-                                with gr.Column(scale=50):
-                                    gr.ImagePaint(label="Draw", interactive=True)                                
-     
-    
-        
-        with gr.Row():
-                
-                
-                input_text=gr.Textbox(label="Short Prompt")
-                see_prompts=gr.Button("Magic Prompt")
-        with gr.Row():
-            
-                prompt=gr.Textbox(label="Text to Image")
-                run=gr.Button("Launch")
-    
-    #    with gr.Row():
-    #            gr.Column()
-    #            with gr.Column():
-    #                clear_btn=gr.Button("Test")
-    
-                
-        with gr.Row():
-                output1=gr.Image(label="nitrosocke/Arcane-Diffusion")
-                output2=gr.Image(label="naclbit/trinart_stable_diffusion_v2")
-                output3=gr.Image(label="nitrosocke/redshift-diffusion")
-                output4=gr.Image(label="runwayml/stable-diffusion-v1-5")    
-        with gr.Row():
-                output5=gr.Image(label="claudfuen/photorealistic-fuen-v1")
-                output6=gr.Image(label="CompVis/stable-diffusion-v1-4")
-                output7=gr.Image(label="Linaqruf/anything-v3.0")
-                output8=gr.Image(label="andite/anything-v4.0")        
-           
-        with gr.Row():
-                output9=gr.Image(label="dreamlike-art/dreamlike-photoreal-1.0")
-                output10=gr.Image(label="prompthero/openjourney")
-                output11=gr.Image(label="prompthero/midjourney-v4-diffusion")
-                output12=gr.Image(label="wavymulder/Analog-Diffusion")      
-        with gr.Row():
-                stat1=gr.Textbox(visible=False, value="running")
-                stat2=gr.Textbox(visible=False, value="running")
-                stat3=gr.Textbox(visible=False, value="running")
-                stat4=gr.Textbox(visible=False, value="running")
-                stat5=gr.Textbox(visible=False, value="running")
-                stat6=gr.Textbox(visible=False, value="running")
-                stat7=gr.Textbox(visible=False, value="running")
-                stat8=gr.Textbox(visible=False, value="running")
-                stat9=gr.Textbox(visible=False, value="running")
-                stat10=gr.Textbox(visible=False, value="running")
-                stat11=gr.Textbox(visible=False, value="running")
-                stat12=gr.Textbox(visible=False, value="running")
-            
-        
-        #with gr.Row():
-        #        output13=gr.Image(label="dreamlike-photoreal-2.0")
-        #        output14=gr.Image(label="Analog-Diffusion")
-        #
-        #        output15=gr.Image(label="redshift-diffusion")
-        #        output16=gr.Image(label="midjourney-v4-diffusion")
-       
-    
-    
-        #def set_models(model_name1, model_name2, model_name3, model_name4):
-    
-        #return(proc1,proc2,proc3,proc4)
-    
-        #run.click(set_models, inputs=[model_name1, model_name2, model_name3, model_name4], outputs=[proc1,proc2,proc3,proc4])
-        #run.click(send_it, inputs=[prompt], outputs=[output1, output2, output3, output4])
-    
-        def clear_queue():
-    
-            myface.queue.clear()
-            
-        #clear_btn.click(clear_queue, inputs=None, outputs=None)
-        see_prompts.click(get_prompts, inputs=[input_text], outputs=[prompt])
-        #timeout = time.time() + 5 #60*1 #1 minute   # 5 minutes from now
-    
-        run.click(send_it1, inputs=[prompt], outputs=[output1])
-        run.click(send_it2, inputs=[prompt], outputs=[output2])
-        run.click(send_it3, inputs=[prompt], outputs=[output3])
-        run.click(send_it4, inputs=[prompt], outputs=[output4])
-        run.click(send_it5, inputs=[prompt], outputs=[output5])
-        run.click(send_it6, inputs=[prompt], outputs=[output6])
-        run.click(send_it7, inputs=[prompt], outputs=[output7])
-        run.click(send_it8, inputs=[prompt], outputs=[output8])
-        run.click(send_it9, inputs=[prompt], outputs=[output9])
-        run.click(send_it10, inputs=[prompt], outputs=[output10])
-        run.click(send_it11, inputs=[prompt], outputs=[output11])
-        run.click(send_it12, inputs=[prompt], outputs=[output12])        
-        
-        #output1.change(up_it1, inputs=[], outputs=[stat1])
-        #output2.change(up_it2, inputs=[], outputs=[stat2])
-        #output3.change(up_it3, inputs=[], outputs=[stat3])
-        #output4.change(up_it4, inputs=[], outputs=[stat4])
-        #output5.change(up_it5, inputs=[], outputs=[stat5])
-        #output6.change(up_it6, inputs=[], outputs=[stat6])
-        #output7.change(up_it7, inputs=[], outputs=[stat7])
-        #output8.change(up_it8, inputs=[], outputs=[stat8])
-        #output9.change(up_it9, inputs=[], outputs=[stat9])
-        #output10.change(up_it10, inputs=[], outputs=[stat10])
-        #output11.change(up_it11, inputs=[], outputs=[stat11])
-        #output12.change(up_it12, inputs=[], outputs=[stat12])        
-        #run.click(send_it13, inputs=[prompt], outputs=[output13])
-        #run.click(send_it14, inputs=[prompt], outputs=[output14])
-        #run.click(send_it15, inputs=[prompt], outputs=[output15])
-        #run.click(send_it16, inputs=[prompt], outputs=[output16])                              
-    
-    #myface.queue(default_enabled=False)
-    #myface.queue(concurrency_count=240,status_update_rate=1)
-    
-    myface.queue(concurrency_count=800,status_update_rate=1)
-    myface.launch(enable_queue=True,inline=True,max_threads=800)
-    
-    #myface.launch(enable_queue=True, max_threads=20)
-if __name__ == "__main__":
-    main()
+import gradio as gr
+max_d=gr.Interface.load("spaces/Omnibus/maximum_diffusion")
+max_d.launch()