diff --git a/网站用批量生成/生成器/Anmicius.py b/网站用批量生成/生成器/Anmicius.py
new file mode 100644
index 0000000..5c29778
--- /dev/null
+++ b/网站用批量生成/生成器/Anmicius.py
@@ -0,0 +1,114 @@
+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'}
+
+
+ # 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/安迷修')
+ 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()
diff --git a/网站用批量生成/生成器/Camil.py b/网站用批量生成/生成器/Camil.py
new file mode 100644
index 0000000..3825584
--- /dev/null
+++ b/网站用批量生成/生成器/Camil.py
@@ -0,0 +1,114 @@
+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'}
+
+
+ # 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/卡米尔')
+ 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()
diff --git a/网站用批量生成/生成器/Grey.py b/网站用批量生成/生成器/Grey.py
new file mode 100644
index 0000000..4e16d7f
--- /dev/null
+++ b/网站用批量生成/生成器/Grey.py
@@ -0,0 +1,114 @@
+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'}
+
+
+ # 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/格瑞')
+ 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()
diff --git a/网站用批量生成/生成器/King.py b/网站用批量生成/生成器/King.py
new file mode 100644
index 0000000..28c741d
--- /dev/null
+++ b/网站用批量生成/生成器/King.py
@@ -0,0 +1,114 @@
+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'}
+
+
+ # 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/金')
+ 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()
diff --git a/网站用批量生成/生成器/Ray.py b/网站用批量生成/生成器/Ray.py
new file mode 100644
index 0000000..acb8a08
--- /dev/null
+++ b/网站用批量生成/生成器/Ray.py
@@ -0,0 +1,114 @@
+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'}
+
+
+ # 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/雷狮')
+ 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()
diff --git a/网站用批量生成/生成器/models/请前往演示站下载模型 b/网站用批量生成/生成器/models/请前往演示站下载模型
new file mode 100644
index 0000000..e69de29
diff --git a/网站用批量生成/生成器/redo.py b/网站用批量生成/生成器/redo.py
new file mode 100644
index 0000000..6c6b292
--- /dev/null
+++ b/网站用批量生成/生成器/redo.py
@@ -0,0 +1,13 @@
+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')
\ No newline at end of file
diff --git a/网站用批量生成/生成器/此处请自行解压dnnlib放入 b/网站用批量生成/生成器/此处请自行解压dnnlib放入
new file mode 100644
index 0000000..e69de29