Create app.py

app.py

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+import gradio as gr
+import random
+from PIL import Image
+import io
+
+# Dummy functions to simulate image generation models
+def ideogram_2_0_turbo(prompt):
+    # Simulate image generation by creating a random image
+    img = Image.new('RGB', (256, 256), color=(random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)))
+    return img
+
+def midjourney_6_1(prompt):
+    # Simulate image generation by creating a random image
+    img = Image.new('RGB', (256, 256), color=(random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)))
+    return img
+
+def flux_1_1_dev(prompt):
+    # Simulate image generation by creating a random image
+    img = Image.new('RGB', (256, 256), color=(random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)))
+    return img
+
+def flux_1_1_pro(prompt):
+    # Simulate image generation by creating a random image
+    img = Image.new('RGB', (256, 256), color=(random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)))
+    return img
+
+def flux_1_1_pro_ultra(prompt):
+    # Simulate image generation by creating a random image
+    img = Image.new('RGB', (256, 256), color=(random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)))
+    return img
+
+def dall_e_3_0(prompt):
+    # Simulate image generation by creating a random image
+    img = Image.new('RGB', (256, 256), color=(random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)))
+    return img
+
+def stable_diffusion_3_5_large(prompt):
+    # Simulate image generation by creating a random image
+    img = Image.new('RGB', (256, 256), color=(random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)))
+    return img
+
+def imggen_3_0(prompt):
+    # Simulate image generation by creating a random image
+    img = Image.new('RGB', (256, 256), color=(random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)))
+    return img
+
+# Function to generate images using all models
+def generate_images(prompt):
+    images = []
+    images.append(ideogram_2_0_turbo(prompt))
+    images.append(midjourney_6_1(prompt))
+    images.append(flux_1_1_dev(prompt))
+    images.append(flux_1_1_pro(prompt))
+    images.append(flux_1_1_pro_ultra(prompt))
+    images.append(dall_e_3_0(prompt))
+    images.append(stable_diffusion_3_5_large(prompt))
+    images.append(imggen_3_0(prompt))
+    return images
+
+# Create the Gradio interface
+with gr.Blocks() as iface:
+    gr.Markdown("# Image Generation by All Models")
+    gr.Markdown("Enter a prompt to generate images using different models.")
+    
+    with gr.Row():
+        prompt_input = gr.Textbox(label="Prompt")
+        btn_generate = gr.Button("Generate Images")
+    
+    with gr.Row():
+        image_outputs = [gr.Image(label=f"Model {i+1}") for i in range(8)]
+    
+    btn_generate.click(generate_images, inputs=prompt_input, outputs=image_outputs)
+
+# Launch the interface
+iface.launch()