accordance the situation about the selection,if choose the high quality,then it will report the error like this:

FileNotFoundError Traceback (most recent call last)
in () ----> 1 get_ipython().run_cell_magic('time', '', '!rm -rf latent_representations/ generated_images/\n#@markdown **Choose an image encoding method:**\n\n#@markdown *Slow method works 2 times longer, but has much higher quality.*\nmetod = \'Slow (high quality)\' #@param ["Fast (low quality)", "Slow (high quality)"]\n#@markdown **Select a network that matches the type of face in the input image.:**\n\n#@markdown *Default network is universal, so if in doubt, choose default.*\nnetwork = \'default\' #@param ["default", "european", "asian", "asian beauty", "baby"]\nif network == \'default\':\n network_path = \'networks/\' + model\nelse:\n other_networks = !ls networks/other\n if networks_urls[network][1] in other_networks:\n network_path = \'networks/other/\' + networks_urls[network][1]\n else:\n network_url = networks_urls[network][0]\n try:\n !gdown $network_url\n network_name = networks_urls[network][1]\n !mv $network_name networks/other/$network_name\n network_path = \'networks/other/\' + network_name\n except BaseException:\n network_pkl = \'networks/other/\' + networks_urls[network][1]\n#@markdown **Set the number of iterations of network learning:**\n\n#@markdown *Recommended: 700*\niterat = 750 #@param {type:"slider", min:100, max:1500, step:50}\n#@markdown **Set learning rate:**\n\n#@markdown *Recommended: ... 3 frames in time(self, line, cell, local_ns) in () in display_sbs(folder1, folder2, res) 13 if folder2[-1] != '/': folder2 += '/' 14 ---> 15 imgs1 = sorted([f for f in os.listdir(folder1) if '.png' in f]) 16 imgs2 = sorted([f for f in os.listdir(folder2) if '.png' in f]) 17 if len(imgs1)!=len(imgs2): FileNotFoundError: [Errno 2] No such file or directory: 'generated_images/'

else if choose the low quality,then it will report the error like this:

Found different amount of images in aligned vs raw image directories. That's not supposed to happen... CPU times: user 99.2 ms, sys: 56.7 ms, total: 156 ms Wall time: 31.2 s

but as we see, it still are "generated_images/" problem, that just generated a folder but any images

i check it every step carefully,i discover it when run on frist step ,"install required compoments",it will encounter the error certainly:

ERROR: tensorflow 1.15.2 has requirement gast==0.2.2, but you'll have gast 0.3.3 which is incompatible. ERROR: tensorflow 1.15.2 has requirement tensorboard<1.16.0,>=1.15.0, but you'll have tensorboard 1.14.0 which is incompatible. ERROR: tensorflow 1.15.2 has requirement tensorflow-estimator==1.15.1, but you'll have tensorflow-estimator 1.14.0 which is incompatible.

is that problem? How do I solve these two problems? thanks for any help

tg-bomze / StyleGAN2-Face-Modificator

step :"Train a neural network" in colab (online mode)produce an error #3

accordance the situation about the selection,if choose the high quality,then it will report the error like this:

else if choose the low quality,then it will report the error like this:

i check it every step carefully,i discover it when run on frist step ,"install required compoments",it will encounter the error certainly: