Duplicate from Omnibus/maximum_diffusion

Co-authored-by: Bot <Omnibus@users.noreply.huggingface.co>

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README.md

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+---
+title: Maximum Diffusion
+emoji: 🛕
+colorFrom: red
+colorTo: blue
+sdk: gradio
+sdk_version: 3.15.0
+app_file: app.py
+pinned: true
+duplicated_from: Omnibus/maximum_diffusion
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+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, preprocess=True, postprocess=False)
+proc2=gr.Interface.load("models/naclbit/trinart_stable_diffusion_v2", live=True, preprocess=True, postprocess=False)
+proc3=gr.Interface.load("models/nitrosocke/redshift-diffusion", live=True, preprocess=True, postprocess=False)
+proc4=gr.Interface.load("models/runwayml/stable-diffusion-v1-5", live=True, preprocess=True, postprocess=False)
+
+proc5=gr.Interface.load("models/claudfuen/photorealistic-fuen-v1", live=True, preprocess=True, postprocess=False)
+proc6=gr.Interface.load("models/CompVis/stable-diffusion-v1-4", live=True, preprocess=True, postprocess=False)
+proc7=gr.Interface.load("models/Linaqruf/anything-v3.0", live=True, preprocess=True, postprocess=False)
+proc8=gr.Interface.load("models/andite/anything-v4.0", live=True, preprocess=True, postprocess=False)
+
+proc9=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-1.0", live=True, preprocess=True, postprocess=False)
+proc10=gr.Interface.load("models/prompthero/openjourney", live=True, preprocess=True, postprocess=False)
+proc11=gr.Interface.load("models/prompthero/midjourney-v4-diffusion", live=True, preprocess=True, postprocess=False)
+proc12=gr.Interface.load("models/wavymulder/Analog-Diffusion", live=True, 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")
+
+def get_prompts(prompt_text):
+    return text_gen(prompt_text)
+def send_it1(inputs,proc1=proc1):
+        output1=proc1(inputs)
+        return(output1)
+def send_it2(inputs,proc2=proc2):
+        output2=proc2(inputs)
+        return(output2)
+def send_it3(inputs,proc3=proc3):
+        output3=proc3(inputs)
+        return(output3)
+def send_it4(inputs,proc4=proc4):
+        output4=proc4(inputs)
+        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 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=True,max_batch_size=800) 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():
+                output2=gr.Image(label="naclbit/trinart_stable_diffusion_v2")
+                output11=gr.Image(label="prompthero/midjourney-v4-diffusion")
+        
+                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")
+                output1=gr.Image(label="nitrosocke/Arcane-Diffusion")
+    
+                output12=gr.Image(label="wavymulder/Analog-Diffusion")      
+            
+        
+        #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])
+        #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()
+