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def parse_command_string(command_string, command_name):
textAndArgs = command_string[1+ len(command_name):].strip().split('--')
result = {}
text = textAndArgs[0].strip()
args = textAndArgs[1:]
print(args)
# The first element is the "freeText" part, remove any leading or trailing whitespace.
result["prompt"] = text.strip()
for arg in args:
parts = arg.split()
if len(parts) > 1:
# Extract the argument name and value
arg_name = parts[0].strip()
arg_value = ' '.join(parts[1:]).strip()
result[arg_name] = arg_value
return result
import io
from PIL import Image, ImageSequence
import numpy as np
def tensorToImageConversion(images, duration):
# Create a list to store each image as a frame
frames = []
for img_tensor in images:
i = 255. * img_tensor.cpu().numpy()
img_pil = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
frames.append(img_pil)
# Create a GIF from the list of frames
img_byte_array = io.BytesIO()
frames[0].save(img_byte_array, save_all=True, append_images=frames[1:], format='WEBP', duration=duration, loop=0, quality=100, lossless=True)
img_byte_array.seek(0)
return img_byte_array
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