app.py

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()