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
deleted file mode 100644
index 5c29778..0000000
--- a/网站用批量生成/生成器/Anmicius.py
+++ /dev/null
@@ -1,114 +0,0 @@
-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
deleted file mode 100644
index 3825584..0000000
--- a/网站用批量生成/生成器/Camil.py
+++ /dev/null
@@ -1,114 +0,0 @@
-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
deleted file mode 100644
index 4e16d7f..0000000
--- a/网站用批量生成/生成器/Grey.py
+++ /dev/null
@@ -1,114 +0,0 @@
-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
deleted file mode 100644
index 28c741d..0000000
--- a/网站用批量生成/生成器/King.py
+++ /dev/null
@@ -1,114 +0,0 @@
-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
deleted file mode 100644
index acb8a08..0000000
--- a/网站用批量生成/生成器/Ray.py
+++ /dev/null
@@ -1,114 +0,0 @@
-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
deleted file mode 100644
index e69de29..0000000
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
deleted file mode 100644
index 6c6b292..0000000
--- a/网站用批量生成/生成器/redo.py
+++ /dev/null
@@ -1,13 +0,0 @@
-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
deleted file mode 100644
index e69de29..0000000