Spaces:
Running
Running
import replicate | |
import requests | |
import os | |
import base64 | |
def virtual_try_on(garm_img_data, human_img_data, garment_des): | |
""" | |
Perform virtual try-on using the IDM-VTON model on Replicate. | |
Args: | |
garm_img_data (bytes): Binary data of the garment image | |
human_img_data (bytes): Binary data of the human image | |
garment_des (str): Description of the garment | |
Returns: | |
str: Path to the saved output image | |
""" | |
# Convert binary data to data URLs | |
def bytes_to_data_url(img_data): | |
encoded = base64.b64encode(img_data).decode('utf-8') | |
return f"data:image/png;base64,{encoded}" | |
# Prepare input for the model | |
input_data = { | |
"garm_img": bytes_to_data_url(garm_img_data), | |
"human_img": bytes_to_data_url(human_img_data), | |
"garment_des": garment_des | |
} | |
print("Sending request to IDM-VTON model...") | |
# Run the model on Replicate | |
output = replicate.run( | |
"cuuupid/idm-vton:c871bb9b046607b680449ecbae55fd8c6d945e0a1948644bf2361b3d021d3ff4", | |
input=input_data | |
) | |
# The model returns a list of URLs, get the first one | |
output_url = output[0] | |
# Download the image from the URL | |
response = requests.get(output_url) | |
# Save the output image | |
output_path = "output.jpg" | |
with open(output_path, "wb") as file: | |
file.write(response.content) | |
print(f"Virtual try-on complete! Output saved to {output_path}") | |
return output_path | |
# Example usage | |
if __name__ == "__main__": | |
print("Please use this module by importing it in your application.") | |
print("Example usage:") | |
print("from vton import virtual_try_on") | |
print("output_path = virtual_try_on(garment_image_path, person_image_path, garment_description)") | |
print("\nNote: Both garment_image_path and person_image_path should be paths to local image files.") | |
# Check if REPLICATE_API_TOKEN is set | |
if "REPLICATE_API_TOKEN" not in os.environ: | |
print("Warning: REPLICATE_API_TOKEN environment variable is not set.") | |
print("Please set it using: export REPLICATE_API_TOKEN='your_token_here'") | |
try: | |
output_path = virtual_try_on(garm_img, human_img, garment_des) | |
print(f"Success! Try-on image saved to {output_path}") | |
except Exception as e: | |
print(f"Error occurred: {e}") |