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[EloniX-X]

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[NuclearSurvivor]

You did not install Deep-Daze completely. You need to download a version of TensorFlow before V2 because Deep Daze doesn't support V2 You will also need CUDA 11.1

Microsoft Visual C++ > Download Here Python 3.8 > Download Here TensorFlow python package > Download Here CUDA 11.1 > Download Here

Make a new folder where ever you choose, drag and drop the TensorFlow python package (The .whl) file then run these commands

cd C:\the folder path

pip install tensorflow_gpu-2.4.0-cp38-cp38-win_amd64.whl

After you have done that type this in a new command line The next lines of code are to create a virtual environment and upgrades the different things you need to run the command.

python -m venv --system-site-packages .\venv

.\venv\Scripts\activate

pip install --upgrade pip

pip install torch==1.8.0+cu111 torchvision==0.9.0+cu111 torchaudio===0.8.0 -f https://download.pytorch.org/whl/torch_stable.html

pip install --upgrade CLIP

pip install --upgrade wheel

pip install deep-daze

pip install --upgrade tensorflow

(CLIP, wheel, and torch are just to verify that you have the most up-to-date installation)

I might be missing some information so let me know how all these goes and im here to help!

[afiaka87]

Does that mean something like

%tensorflow_version 1.x
%pip install torch==1.8.0+cu111 torchvision==0.9.0+cu111 torchaudio===0.8.0 -f https://download.pytorch.org/whl/torch_stable.html
%pip install --upgrade CLIP
%pip install deep-daze --upgrade

would be required in the colab notebook now? @lucidrains

Edit: also, if you do get around to changing it, there's a bug in the display code now that deep-daze saves jpg instead of png.

for epoch in trange(20, desc = 'epochs'):
    for i in trange(ITERATIONS, desc = 'iteration'):
        model.train_step(epoch, i)

        if i % model.save_every != 0:
            continue

        filename = TEXT.replace(' ', '_')
        image = Image(f'./{filename}.jpg') # This line
        display(image)

[NuclearSurvivor]

Does that mean something like

%tensorflow_version 1.x
%pip install torch==1.8.0+cu111 torchvision==0.9.0+cu111 torchaudio===0.8.0 -f https://download.pytorch.org/whl/torch_stable.html
%pip install --upgrade CLIP
%pip install deep-daze --upgrade

would be required in the colab notebook now? @lucidrains

Edit: also, if you do get around to changing it, there's a bug in the display code now that deep-daze saves jpg instead of png.

for epoch in trange(20, desc = 'epochs'):
    for i in trange(ITERATIONS, desc = 'iteration'):
        model.train_step(epoch, i)

        if i % model.save_every != 0:
            continue

        filename = TEXT.replace(' ', '_')
        image = Image(f'./{filename}.jpg') # This line
        display(image)

Yes, those were the steps I took, and the upgrade commands I put all needed to be updated, and either way it's just making sure you have to most up-to-date versions.