app.py

import gradio as gr
import random
import os


models = {
    "Face Projection": gr.load("models/Purz/face-projection"),
    "Flux LoRA Uncensored": gr.load("models/prashanth970/flux-lora-uncensored"),
    "NSFW TrioHMH Flux": gr.load("models/DiegoJR1973/NSFW-TrioHMH-Flux"),
    "NSFW Master": gr.load("models/pimpilikipilapi1/NSFW_master")
}

def generate_image(text, num_inference_steps):
    result_images = {}
    for model_name, model in models.items():
        result_images[model_name] = model(text)

    print(f"Inference Steps: {num_inference_steps}")
    
    return [result_images[model_name] for model_name in models]

interface = gr.Interface(
    fn=generate_image,
    inputs=[
        gr.Textbox(label="Type here your imagination:", placeholder="Type or click an example..."),
        gr.Slider(label="Number of inference steps", minimum=1, maximum=40, step=1, value=28),
    ],
    outputs=[gr.Image(label=model_name) for model_name in models],
    theme="NoCrypt/miku",
    description="Sorry for the inconvenience. The model is currently running on the CPU, which might affect performance. We appreciate your understanding.",
)

interface.launch()