Create app.py

app.py

@@ -0,0 +1,99 @@
+import gradio as gr
+import os
+import sys
+from pathlib import Path
+
+models = [
+    {"name": "Stable Diffusion 2", "url": "stabilityai/stable-diffusion-2-1"},
+    {"name": "stability AI", "url": "stabilityai/stable-diffusion-2-1-base"},
+    {"name": "XL-Refiner-1.0", "url": "stabilityai/stable-diffusion-xl-refiner-1.0"},
+    {"name": "Future Diffusion", "url": "nitrosocke/Future-Diffusion"},
+    {"name": "JWST Deep Space Diffusion", "url": "dallinmackay/JWST-Deep-Space-diffusion"},
+    {"name": "Robo Diffusion 3 Base", "url": "nousr/robo-diffusion-2-base"},
+    {"name": "Robo Diffusion", "url": "nousr/robo-diffusion"},
+    {"name": "Tron Legacy Diffusion", "url": "dallinmackay/Tron-Legacy-diffusion"},
+]
+
+current_model = models[0]
+
+text_gen = gr.Interface.load("spaces/daspartho/prompt-extend") 
+
+models2 = []
+for model in models:
+    model_url = f"models/{model['url']}"
+    loaded_model = gr.Interface.load(model_url, live=True, preprocess=True)
+    models2.append(loaded_model)
+
+
+def text_it(inputs, text_gen=text_gen):
+    return text_gen(inputs)
+
+
+def set_model(current_model_index):
+    global current_model
+    current_model = models[current_model_index]
+    return gr.update(value=f"{current_model['name']}")
+
+
+def send_it(inputs, model_choice):
+    proc = models2[model_choice]
+    return proc(inputs)
+
+
+with gr.Blocks() as myface:
+    gr.HTML(
+
+    )
+
+    with gr.Row():
+        with gr.Row():
+            input_text = gr.Textbox(label="Prompt idea",  placeholder="", lines=1)
+            # Model selection dropdown
+            model_name1 = gr.Dropdown(
+                label="Choose Model",
+                choices=[m["name"] for m in models],
+                type="index",
+                value=current_model["name"],
+                interactive=True,
+            )
+        with gr.Row():
+            see_prompts = gr.Button("Generate Prompts")
+            run = gr.Button("Generate Images", variant="primary")
+    
+    with gr.Row():
+        output1 = gr.Image(label="")
+        output2 = gr.Image(label="")
+        output3 = gr.Image(label="")
+    with gr.Row():
+        magic1 = gr.Textbox(label="Generated Prompt", lines=2)
+        magic2 = gr.Textbox(label="Generated Prompt", lines=2)
+        magic3 = gr.Textbox(label="Generated Prompt", lines=2)
+    with gr.Row():
+        output4 = gr.Image(label="")
+        output5 = gr.Image(label="")
+        output6 = gr.Image(label="")
+    with gr.Row():
+        magic4 = gr.Textbox(label="Generated Prompt", lines=2)
+        magic5 = gr.Textbox(label="Generated Prompt", lines=2)
+        magic6 = gr.Textbox(label="Generated Prompt", lines=2)
+
+    model_name1.change(set_model, inputs=model_name1, outputs=[output1, output2, output3, output4, output5, output6])
+
+    run.click(send_it, inputs=[magic1, model_name1], outputs=[output1])
+    run.click(send_it, inputs=[magic2, model_name1], outputs=[output2])
+    run.click(send_it, inputs=[magic3, model_name1], outputs=[output3])
+    run.click(send_it, inputs=[magic4, model_name1], outputs=[output4])
+    run.click(send_it, inputs=[magic5, model_name1], outputs=[output5])
+    run.click(send_it, inputs=[magic6, model_name1], outputs=[output6])
+
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic1])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic2])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic3])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic4])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic5])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic6])
+
+myface.queue(concurrency_count=200)
+myface.launch(inline=True, show_api=True, max_threads=400)
+             
+demo.launch()