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edit_image.py
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edit_image.py
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import os
import argparse
from PIL import Image
import json
from moviepy.editor import VideoFileClip
import numpy as np
import black_box_image_edit as image_edit
def infer_video(model, video_path, output_dir, prompt, prompt_type="instruct", force_512=False, seed=42, negative_prompt="", overwrite=False):
"""
Processes videos from the input directory, resizes them to 512x512 before feeding into the model by first frame,
and saves the processed video back to its original size in the output directory.
Args:
model: The video editing model.
input_dir (str): Path to the directory containing input videos.
output_dir (str): Path to the directory where processed videos will be saved.
prompt (str): Instruction prompt for video editing.
"""
# Create the output directory if it does not exist
if not os.path.exists(output_dir):
os.makedirs(output_dir)
video_clip = VideoFileClip(video_path)
video_filename = os.path.basename(video_path)
# filename_noext = os.path.splitext(video_filename)[0]
# Create the output directory if it does not exist
# final_output_dir = os.path.join(output_dir, filename_noext)
final_output_dir = output_dir
if not os.path.exists(final_output_dir):