app.py

import gradio as gr
from diffusers import DiffusionPipeline

# Cargar el modelo
pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5")
pipe.load_lora_weights("ovieyra21/yebama-sd15")
pipe.to('cuda')

def generate(prompt):
    # Generar la imagen
    image = pipe(prompt).images[0]
    return image

# Crear la interfaz de Gradio
gr.Interface(
    fn=generate,
    inputs=gr.Textbox(label="Escribe tu prompt"),
    outputs=gr.Image(type="pil"),
).launch()