Initial commit. Converted for ComfyUI

This commit is contained in:
Kytra Selca
2025-03-09 15:01:22 -07:00
commit a0ff6b6bc9
32 changed files with 4461 additions and 0 deletions
+40
View File
@@ -0,0 +1,40 @@
"""
Example script showing how to use MatAnyone programmatically.
"""
import os
import torch
from inference_matanyone import process_video
# Enable CUDA if available
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
print(f"Using device: {device}")
# Define paths
input_video = "inputs/video/my_video.mp4" # Replace with your video path
mask_image = "inputs/mask/my_mask.png" # Replace with your mask path
output_dir = "results"
# Create output directory if it doesn't exist
os.makedirs(output_dir, exist_ok=True)
# Process the video
fgr_path, pha_path = process_video(
input_path=input_video,
mask_path=mask_image,
output_path=output_dir,
n_warmup=10, # Number of warmup iterations
r_erode=10, # Erosion kernel size
r_dilate=10, # Dilation kernel size
max_size=1280, # Limit the maximum size (optional)
save_image=False # Whether to save individual frames
)
print(f"Processing complete!")
print(f"Foreground video saved to: {fgr_path}")
print(f"Alpha matte saved to: {pha_path}")
# Example of how to use the outputs
print("\nNext steps:")
print("1. Use the foreground video (fgr) with a green background for chroma keying")
print("2. Use the alpha matte (pha) as a transparency mask in video editing software")
print("3. Combine them to composite your subject onto a new background")