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更新嘉德罗斯生成器

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Bigsk 2020-02-16 14:06:49 +08:00 committed by Gitee
parent 22c61ab9f2
commit 31df1cb442
8 changed files with 699 additions and 0 deletions
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114
网站用批量生成/生成器/Anmicius.py Normal file
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import tensorflow as tf
import numpy as np
import random
import pickle
from PIL import Image
from qrcode import make as makeqr
from dnnlib import tflib
import time, os, hashlib
def main():
# Define global variables.
seed = random.randint(0,10000000)
available_charaters = {'Anmicius', 'Camil', 'Grey', 'King', 'Ray', 'Godrose'}
# Select charater and input seed.
selected_character = 'Anmicius'
while selected_character not in available_charaters:
selected_character = input('Type in the character you want to draw, e.g. \"Anmicius\" and \"Ray\" (no quotes).\n')
if selected_character not in available_charaters:
print('You typed in a character that is not available or you made a misspell, try agian.')
seed_str = ''
if seed_str != '':
if seed_str.isdigit():
seed = int(seed_str.encode('utf-8'))
else:
seed = int(hashlib.sha256(seed_str.encode('utf-8')).hexdigest(), 16) % 10**8
print('INFO: Setting up variables...')
tflib.init_tf()
rnd = np.random.RandomState(seed)
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
print('INFO: Loading pretrained model...')
Gs = pickle.load(open('models/network-%s-gs.pkl' % selected_character, 'rb'))
latents = rnd.randn(1, Gs.input_shape[1])
print('INFO: Generating...')
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
im = Image.fromarray(images[0], 'RGB')
qr = makeqr('This is an image automatically generated by Aotu Draw Bot by Rand0mZ.LiCloud provides computing resources. Seed: %d' % seed)
w, h = im.size
qw, qh = qr.size
if qw > w:
qr = qr.resize((w, w))
elif qh > h:
qr = qr.resize((h, h))
qw, qh = qr.size
imd = im.load()
for i in range(w):
for j in range(h):
d = imd[i, j]
imd[i, j] = d[:-1] +((d[-1] | 1) if qr.getpixel((i%qw, j%qh)) else (d[-1] & ~1),)
print('Done!')
save_name = '%s_%d.png' % (selected_character, seed)
print('INFO: Saving %s' % save_name)
output_dir = os.path.join(os.path.dirname(os.getcwd()) , 'ARAGS/Anmicius')
if not os.path.isdir(output_dir):
os.mkdir(output_dir)
im.save(os.path.join(output_dir, save_name))
print('INFO: Image %s is saved in directory.' % save_name)
print('INFO: All processes has done!')
print('Thank you for using this software and obeying the terms of use above.')
time.sleep(3)
def generate_image(model, save_path, selected_character, seed, amount):
tflib.init_tf()
print('INFO: Loading pretrained model...')
Gs = pickle.load(open(model, 'rb'))
if not os.path.isdir(save_path):
os.mkdir(save_path)
for i in range(1, amount + 1):
print('INFO: Generating image %d' %i)
rnd = np.random.RandomState(seed)
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
latents = rnd.randn(1, Gs.input_shape[1])
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
im = Image.fromarray(images[0], 'RGB')
qr = makeqr('This is an image automatically generated by Aotu Draw Bot CLI by Rand0mZ hence this image is not for commercial propose. Seed: %d' % seed)
w, h = im.size
qw, qh = qr.size
if qw > w:
qr = qr.resize((w, w))
elif qh > h:
qr = qr.resize((h, h))
qw, qh = qr.size
imd = im.load()
for i in range(w):
for j in range(h):
d = imd[i, j]
imd[i, j] = d[:-1] +((d[-1] | 1) if qr.getpixel((i%qw, j%qh)) else (d[-1] & ~1),)
print('Done!')
save_name = '%s_%d.png' % (selected_character, seed)
print('INFO: Saving %s' % save_name)
im.save(os.path.join(save_path, save_name))
print('INFO: Image %s is saved to %s.\n' % (save_name, save_path))
seed += i - 1
if __name__ == "__main__":
main()

114
网站用批量生成/生成器/Camil.py Normal file
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import tensorflow as tf
import numpy as np
import random
import pickle
from PIL import Image
from qrcode import make as makeqr
from dnnlib import tflib
import time, os, hashlib
def main():
# Define global variables.
seed = random.randint(0,10000000)
available_charaters = {'Anmicius', 'Camil', 'Grey', 'King', 'Ray', 'Godrose'}
# Select charater and input seed.
selected_character = 'Camil'
while selected_character not in available_charaters:
selected_character = input('Type in the character you want to draw, e.g. \"Anmicius\" and \"Ray\" (no quotes).\n')
if selected_character not in available_charaters:
print('You typed in a character that is not available or you made a misspell, try agian.')
seed_str = ''
if seed_str != '':
if seed_str.isdigit():
seed = int(seed_str.encode('utf-8'))
else:
seed = int(hashlib.sha256(seed_str.encode('utf-8')).hexdigest(), 16) % 10**8
print('INFO: Setting up variables...')
tflib.init_tf()
rnd = np.random.RandomState(seed)
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
print('INFO: Loading pretrained model...')
Gs = pickle.load(open('models/network-%s-gs.pkl' % selected_character, 'rb'))
latents = rnd.randn(1, Gs.input_shape[1])
print('INFO: Generating...')
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
im = Image.fromarray(images[0], 'RGB')
qr = makeqr('This is an image automatically generated by Aotu Draw Bot by Rand0mZ.LiCloud provides computing resources. Seed: %d' % seed)
w, h = im.size
qw, qh = qr.size
if qw > w:
qr = qr.resize((w, w))
elif qh > h:
qr = qr.resize((h, h))
qw, qh = qr.size
imd = im.load()
for i in range(w):
for j in range(h):
d = imd[i, j]
imd[i, j] = d[:-1] +((d[-1] | 1) if qr.getpixel((i%qw, j%qh)) else (d[-1] & ~1),)
print('Done!')
save_name = '%s_%d.png' % (selected_character, seed)
print('INFO: Saving %s' % save_name)
output_dir = os.path.join(os.path.dirname(os.getcwd()) , 'ARAGS/Camil')
if not os.path.isdir(output_dir):
os.mkdir(output_dir)
im.save(os.path.join(output_dir, save_name))
print('INFO: Image %s is saved in directory.' % save_name)
print('INFO: All processes has done!')
print('Thank you for using this software and obeying the terms of use above.')
time.sleep(3)
def generate_image(model, save_path, selected_character, seed, amount):
tflib.init_tf()
print('INFO: Loading pretrained model...')
Gs = pickle.load(open(model, 'rb'))
if not os.path.isdir(save_path):
os.mkdir(save_path)
for i in range(1, amount + 1):
print('INFO: Generating image %d' %i)
rnd = np.random.RandomState(seed)
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
latents = rnd.randn(1, Gs.input_shape[1])
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
im = Image.fromarray(images[0], 'RGB')
qr = makeqr('This is an image automatically generated by Aotu Draw Bot CLI by Rand0mZ hence this image is not for commercial propose. Seed: %d' % seed)
w, h = im.size
qw, qh = qr.size
if qw > w:
qr = qr.resize((w, w))
elif qh > h:
qr = qr.resize((h, h))
qw, qh = qr.size
imd = im.load()
for i in range(w):
for j in range(h):
d = imd[i, j]
imd[i, j] = d[:-1] +((d[-1] | 1) if qr.getpixel((i%qw, j%qh)) else (d[-1] & ~1),)
print('Done!')
save_name = '%s_%d.png' % (selected_character, seed)
print('INFO: Saving %s' % save_name)
im.save(os.path.join(save_path, save_name))
print('INFO: Image %s is saved to %s.\n' % (save_name, save_path))
seed += i - 1
if __name__ == "__main__":
main()

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网站用批量生成/生成器/Godrose.py Normal file
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import tensorflow as tf
import numpy as np
import random
import pickle
from PIL import Image
from qrcode import make as makeqr
from dnnlib import tflib
import time, os, hashlib
def main():
# Define global variables.
seed = random.randint(0,10000000)
available_charaters = {'Anmicius', 'Camil', 'Grey', 'King', 'Ray', 'Godrose'}
# Select charater and input seed.
selected_character = 'Godrose'
while selected_character not in available_charaters:
selected_character = input('Type in the character you want to draw, e.g. \"Anmicius\" and \"Ray\" (no quotes).\n')
if selected_character not in available_charaters:
print('You typed in a character that is not available or you made a misspell, try agian.')
seed_str = ''
if seed_str != '':
if seed_str.isdigit():
seed = int(seed_str.encode('utf-8'))
else:
seed = int(hashlib.sha256(seed_str.encode('utf-8')).hexdigest(), 16) % 10**8
print('INFO: Setting up variables...')
tflib.init_tf()
rnd = np.random.RandomState(seed)
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
print('INFO: Loading pretrained model...')
Gs = pickle.load(open('models/network-%s-gs.pkl' % selected_character, 'rb'))
latents = rnd.randn(1, Gs.input_shape[1])
print('INFO: Generating...')
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
im = Image.fromarray(images[0], 'RGB')
qr = makeqr('This is an image automatically generated by Aotu Draw Bot by Rand0mZ.LiCloud provides computing resources. Seed: %d' % seed)
w, h = im.size
qw, qh = qr.size
if qw > w:
qr = qr.resize((w, w))
elif qh > h:
qr = qr.resize((h, h))
qw, qh = qr.size
imd = im.load()
for i in range(w):
for j in range(h):
d = imd[i, j]
imd[i, j] = d[:-1] +((d[-1] | 1) if qr.getpixel((i%qw, j%qh)) else (d[-1] & ~1),)
print('Done!')
save_name = '%s_%d.png' % (selected_character, seed)
print('INFO: Saving %s' % save_name)
output_dir = os.path.join(os.path.dirname(os.getcwd()) , 'ARAGS/Godrose')
if not os.path.isdir(output_dir):
os.mkdir(output_dir)
im.save(os.path.join(output_dir, save_name))
print('INFO: Image %s is saved in directory.' % save_name)
print('INFO: All processes has done!')
print('Thank you for using this software and obeying the terms of use above.')
time.sleep(3)
def generate_image(model, save_path, selected_character, seed, amount):
tflib.init_tf()
print('INFO: Loading pretrained model...')
Gs = pickle.load(open(model, 'rb'))
if not os.path.isdir(save_path):
os.mkdir(save_path)
for i in range(1, amount + 1):
print('INFO: Generating image %d' %i)
rnd = np.random.RandomState(seed)
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
latents = rnd.randn(1, Gs.input_shape[1])
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
im = Image.fromarray(images[0], 'RGB')
qr = makeqr('This is an image automatically generated by Aotu Draw Bot CLI by Rand0mZ hence this image is not for commercial propose. Seed: %d' % seed)
w, h = im.size
qw, qh = qr.size
if qw > w:
qr = qr.resize((w, w))
elif qh > h:
qr = qr.resize((h, h))
qw, qh = qr.size
imd = im.load()
for i in range(w):
for j in range(h):
d = imd[i, j]
imd[i, j] = d[:-1] +((d[-1] | 1) if qr.getpixel((i%qw, j%qh)) else (d[-1] & ~1),)
print('Done!')
save_name = '%s_%d.png' % (selected_character, seed)
print('INFO: Saving %s' % save_name)
im.save(os.path.join(save_path, save_name))
print('INFO: Image %s is saved to %s.\n' % (save_name, save_path))
seed += i - 1
if __name__ == "__main__":
main()

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网站用批量生成/生成器/Grey.py Normal file
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import tensorflow as tf
import numpy as np
import random
import pickle
from PIL import Image
from qrcode import make as makeqr
from dnnlib import tflib
import time, os, hashlib
def main():
# Define global variables.
seed = random.randint(0,10000000)
available_charaters = {'Anmicius', 'Camil', 'Grey', 'King', 'Ray', 'Godrose'}
# Select charater and input seed.
selected_character = 'Grey'
while selected_character not in available_charaters:
selected_character = input('Type in the character you want to draw, e.g. \"Anmicius\" and \"Ray\" (no quotes).\n')
if selected_character not in available_charaters:
print('You typed in a character that is not available or you made a misspell, try agian.')
seed_str = ''
if seed_str != '':
if seed_str.isdigit():
seed = int(seed_str.encode('utf-8'))
else:
seed = int(hashlib.sha256(seed_str.encode('utf-8')).hexdigest(), 16) % 10**8
print('INFO: Setting up variables...')
tflib.init_tf()
rnd = np.random.RandomState(seed)
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
print('INFO: Loading pretrained model...')
Gs = pickle.load(open('models/network-%s-gs.pkl' % selected_character, 'rb'))
latents = rnd.randn(1, Gs.input_shape[1])
print('INFO: Generating...')
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
im = Image.fromarray(images[0], 'RGB')
qr = makeqr('This is an image automatically generated by Aotu Draw Bot by Rand0mZ.LiCloud provides computing resources. Seed: %d' % seed)
w, h = im.size
qw, qh = qr.size
if qw > w:
qr = qr.resize((w, w))
elif qh > h:
qr = qr.resize((h, h))
qw, qh = qr.size
imd = im.load()
for i in range(w):
for j in range(h):
d = imd[i, j]
imd[i, j] = d[:-1] +((d[-1] | 1) if qr.getpixel((i%qw, j%qh)) else (d[-1] & ~1),)
print('Done!')
save_name = '%s_%d.png' % (selected_character, seed)
print('INFO: Saving %s' % save_name)
output_dir = os.path.join(os.path.dirname(os.getcwd()) , 'ARAGS/Grey')
if not os.path.isdir(output_dir):
os.mkdir(output_dir)
im.save(os.path.join(output_dir, save_name))
print('INFO: Image %s is saved in directory.' % save_name)
print('INFO: All processes has done!')
print('Thank you for using this software and obeying the terms of use above.')
time.sleep(3)
def generate_image(model, save_path, selected_character, seed, amount):
tflib.init_tf()
print('INFO: Loading pretrained model...')
Gs = pickle.load(open(model, 'rb'))
if not os.path.isdir(save_path):
os.mkdir(save_path)
for i in range(1, amount + 1):
print('INFO: Generating image %d' %i)
rnd = np.random.RandomState(seed)
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
latents = rnd.randn(1, Gs.input_shape[1])
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
im = Image.fromarray(images[0], 'RGB')
qr = makeqr('This is an image automatically generated by Aotu Draw Bot CLI by Rand0mZ hence this image is not for commercial propose. Seed: %d' % seed)
w, h = im.size
qw, qh = qr.size
if qw > w:
qr = qr.resize((w, w))
elif qh > h:
qr = qr.resize((h, h))
qw, qh = qr.size
imd = im.load()
for i in range(w):
for j in range(h):
d = imd[i, j]
imd[i, j] = d[:-1] +((d[-1] | 1) if qr.getpixel((i%qw, j%qh)) else (d[-1] & ~1),)
print('Done!')
save_name = '%s_%d.png' % (selected_character, seed)
print('INFO: Saving %s' % save_name)
im.save(os.path.join(save_path, save_name))
print('INFO: Image %s is saved to %s.\n' % (save_name, save_path))
seed += i - 1
if __name__ == "__main__":
main()

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网站用批量生成/生成器/King.py Normal file
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import tensorflow as tf
import numpy as np
import random
import pickle
from PIL import Image
from qrcode import make as makeqr
from dnnlib import tflib
import time, os, hashlib
def main():
# Define global variables.
seed = random.randint(0,10000000)
available_charaters = {'Anmicius', 'Camil', 'Grey', 'King', 'Ray', 'Godrose'}
# Select charater and input seed.
selected_character = 'King'
while selected_character not in available_charaters:
selected_character = input('Type in the character you want to draw, e.g. \"Anmicius\" and \"Ray\" (no quotes).\n')
if selected_character not in available_charaters:
print('You typed in a character that is not available or you made a misspell, try agian.')
seed_str = ''
if seed_str != '':
if seed_str.isdigit():
seed = int(seed_str.encode('utf-8'))
else:
seed = int(hashlib.sha256(seed_str.encode('utf-8')).hexdigest(), 16) % 10**8
print('INFO: Setting up variables...')
tflib.init_tf()
rnd = np.random.RandomState(seed)
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
print('INFO: Loading pretrained model...')
Gs = pickle.load(open('models/network-%s-gs.pkl' % selected_character, 'rb'))
latents = rnd.randn(1, Gs.input_shape[1])
print('INFO: Generating...')
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
im = Image.fromarray(images[0], 'RGB')
qr = makeqr('This is an image automatically generated by Aotu Draw Bot by Rand0mZ.LiCloud provides computing resources. Seed: %d' % seed)
w, h = im.size
qw, qh = qr.size
if qw > w:
qr = qr.resize((w, w))
elif qh > h:
qr = qr.resize((h, h))
qw, qh = qr.size
imd = im.load()
for i in range(w):
for j in range(h):
d = imd[i, j]
imd[i, j] = d[:-1] +((d[-1] | 1) if qr.getpixel((i%qw, j%qh)) else (d[-1] & ~1),)
print('Done!')
save_name = '%s_%d.png' % (selected_character, seed)
print('INFO: Saving %s' % save_name)
output_dir = os.path.join(os.path.dirname(os.getcwd()) , 'ARAGS/King')
if not os.path.isdir(output_dir):
os.mkdir(output_dir)
im.save(os.path.join(output_dir, save_name))
print('INFO: Image %s is saved in directory.' % save_name)
print('INFO: All processes has done!')
print('Thank you for using this software and obeying the terms of use above.')
time.sleep(3)
def generate_image(model, save_path, selected_character, seed, amount):
tflib.init_tf()
print('INFO: Loading pretrained model...')
Gs = pickle.load(open(model, 'rb'))
if not os.path.isdir(save_path):
os.mkdir(save_path)
for i in range(1, amount + 1):
print('INFO: Generating image %d' %i)
rnd = np.random.RandomState(seed)
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
latents = rnd.randn(1, Gs.input_shape[1])
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
im = Image.fromarray(images[0], 'RGB')
qr = makeqr('This is an image automatically generated by Aotu Draw Bot CLI by Rand0mZ hence this image is not for commercial propose. Seed: %d' % seed)
w, h = im.size
qw, qh = qr.size
if qw > w:
qr = qr.resize((w, w))
elif qh > h:
qr = qr.resize((h, h))
qw, qh = qr.size
imd = im.load()
for i in range(w):
for j in range(h):
d = imd[i, j]
imd[i, j] = d[:-1] +((d[-1] | 1) if qr.getpixel((i%qw, j%qh)) else (d[-1] & ~1),)
print('Done!')
save_name = '%s_%d.png' % (selected_character, seed)
print('INFO: Saving %s' % save_name)
im.save(os.path.join(save_path, save_name))
print('INFO: Image %s is saved to %s.\n' % (save_name, save_path))
seed += i - 1
if __name__ == "__main__":
main()

114
网站用批量生成/生成器/Ray.py Normal file
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import tensorflow as tf
import numpy as np
import random
import pickle
from PIL import Image
from qrcode import make as makeqr
from dnnlib import tflib
import time, os, hashlib
def main():
# Define global variables.
seed = random.randint(0,10000000)
available_charaters = {'Anmicius', 'Camil', 'Grey', 'King', 'Ray', 'Godrose'}
# Select charater and input seed.
selected_character = 'Ray'
while selected_character not in available_charaters:
selected_character = input('Type in the character you want to draw, e.g. \"Anmicius\" and \"Ray\" (no quotes).\n')
if selected_character not in available_charaters:
print('You typed in a character that is not available or you made a misspell, try agian.')
seed_str = ''
if seed_str != '':
if seed_str.isdigit():
seed = int(seed_str.encode('utf-8'))
else:
seed = int(hashlib.sha256(seed_str.encode('utf-8')).hexdigest(), 16) % 10**8
print('INFO: Setting up variables...')
tflib.init_tf()
rnd = np.random.RandomState(seed)
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
print('INFO: Loading pretrained model...')
Gs = pickle.load(open('models/network-%s-gs.pkl' % selected_character, 'rb'))
latents = rnd.randn(1, Gs.input_shape[1])
print('INFO: Generating...')
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
im = Image.fromarray(images[0], 'RGB')
qr = makeqr('This is an image automatically generated by Aotu Draw Bot by Rand0mZ.LiCloud provides computing resources. Seed: %d' % seed)
w, h = im.size
qw, qh = qr.size
if qw > w:
qr = qr.resize((w, w))
elif qh > h:
qr = qr.resize((h, h))
qw, qh = qr.size
imd = im.load()
for i in range(w):
for j in range(h):
d = imd[i, j]
imd[i, j] = d[:-1] +((d[-1] | 1) if qr.getpixel((i%qw, j%qh)) else (d[-1] & ~1),)
print('Done!')
save_name = '%s_%d.png' % (selected_character, seed)
print('INFO: Saving %s' % save_name)
output_dir = os.path.join(os.path.dirname(os.getcwd()) , 'ARAGS/Ray')
if not os.path.isdir(output_dir):
os.mkdir(output_dir)
im.save(os.path.join(output_dir, save_name))
print('INFO: Image %s is saved in directory.' % save_name)
print('INFO: All processes has done!')
print('Thank you for using this software and obeying the terms of use above.')
time.sleep(3)
def generate_image(model, save_path, selected_character, seed, amount):
tflib.init_tf()
print('INFO: Loading pretrained model...')
Gs = pickle.load(open(model, 'rb'))
if not os.path.isdir(save_path):
os.mkdir(save_path)
for i in range(1, amount + 1):
print('INFO: Generating image %d' %i)
rnd = np.random.RandomState(seed)
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
latents = rnd.randn(1, Gs.input_shape[1])
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
im = Image.fromarray(images[0], 'RGB')
qr = makeqr('This is an image automatically generated by Aotu Draw Bot CLI by Rand0mZ hence this image is not for commercial propose. Seed: %d' % seed)
w, h = im.size
qw, qh = qr.size
if qw > w:
qr = qr.resize((w, w))
elif qh > h:
qr = qr.resize((h, h))
qw, qh = qr.size
imd = im.load()
for i in range(w):
for j in range(h):
d = imd[i, j]
imd[i, j] = d[:-1] +((d[-1] | 1) if qr.getpixel((i%qw, j%qh)) else (d[-1] & ~1),)
print('Done!')
save_name = '%s_%d.png' % (selected_character, seed)
print('INFO: Saving %s' % save_name)
im.save(os.path.join(save_path, save_name))
print('INFO: Image %s is saved to %s.\n' % (save_name, save_path))
seed += i - 1
if __name__ == "__main__":
main()

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网站用批量生成/生成器/loop.py Normal file
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import os
os.system('del ..\ARAGS\*.png /s/q')
for i in range(1,1001):
os.system('py Ray.py')
for i in range(1,1001):
os.system('py King.py')
for i in range(1,1001):
os.system('py Anmicius.py')
for i in range(1,1001):
os.system('py Camil.py')
for i in range(1,1001):
os.system('py Grey.py')
for i in range(1,1001):
os.system('py Godrose.py')

0
网站用批量生成/生成器/models/请前往演示站下载模型 Normal file
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