app.py

import gradio as gr
import torch
from diffusers import StableDiffusionPipeline

device = "cuda" if torch.cuda.is_available() else "cpu"
model_id = "nitrosocke/Ghibli-Diffusion"

# Load the model
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16 if device == "cuda" else torch.float32)
pipe.to(device)

def generate_ghibli_style(image):
    prompt = "ghibli style portrait"
    result = pipe(prompt, init_image=image, strength=0.75, guidance_scale=7.0, num_inference_steps=30).images[0]
    return result

iface = gr.Interface(
    fn=generate_ghibli_style,
    inputs=gr.Image(type="pil"),
    outputs=gr.Image(),
    title="Studio Ghibli Portrait Generator",
    description="Upload a photo to generate a Ghibli-style portrait!"
)

iface.launch()