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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()
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