Create app.py

app.py

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+import gradio as gr
+import torch
+from diffusers import StableDiffusionPipeline
+from PIL import Image
+
+# Load the pre-trained Ghibli-Diffusion model
+model_id = "nitrosocke/Ghibli-Diffusion"
+pipeline = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipeline.to("cuda")  # Ensure GPU acceleration
+
+def generate_ghibli_portrait(image):
+    # Convert input image to PIL format
+    input_image = Image.open(image).convert("RGB").resize((512, 512))
+    
+    # Generate image using the model
+    prompt = "Ghibli-style portrait of a person, highly detailed, soft lighting"
+    result = pipeline(prompt=prompt, image=input_image).images[0]
+    
+    return result
+
+# Gradio UI
+demo = gr.Interface(
+    fn=generate_ghibli_portrait,
+    inputs=gr.Image(type="file", label="Upload your photo"),
+    outputs=gr.Image(label="Ghibli-style Portrait"),
+    title="Studio Ghibli Portrait Generator",
+    description="Upload your photo to generate a Ghibli-style portrait using AI."
+)
+
+if __name__ == "__main__":
+    demo.launch()