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3524366 4af1097 3524366 4af1097 a9452a7 4af1097 3524366 4af1097 3524366 4af1097 3524366 4af1097 3524366 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | import gradio as gr
from diffusers import DiffusionPipeline
from PIL import Image
# Load your diffusion model
model_id = "models/gouthaml/raos-virtual-try-on-model" # Update with the correct model ID
pipe = DiffusionPipeline.from_pretrained(model_id)
# Function to handle the virtual try-on process
def virtual_tryon(person_image, dress_image):
# Call the model to generate the virtual try-on result
output_image = pipe(person_image, dress_image).images[0] # Update based on actual pipeline usage
return output_image
# Define Gradio interface
iface = gr.Interface(
fn=virtual_tryon,
inputs=[gr.inputs.Image(type="pil"), gr.inputs.Image(type="pil")],
outputs=gr.outputs.Image(type="pil"),
title="Virtual Try-On",
description="Upload a picture of a person and a dress, and see the result of the virtual try-on."
)
# Launch the interface
iface.launch()
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