DALLE-models
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robvanvolt
Here is a collection of checkpoints for DALLE-pytorch models, from where you can keep on training or start generating images.
Hello, I used the colab notebook and choose 16L_64HD_8H_512I_128T_cc12m_cc3m_3E checkpoint and this error happened  script: ```!python /content/dalle-pytorch-pretrained/DALLE-pytorch/generate.py --dalle_path=$checkpoint_path --taming --text="$text" --num_images=$num_images --batch_size=$batch_size --outputs_dir="$_folder"; wait;``` variables: 
During trying to load the dalle pre-trained weights, I meet a loading error, and it seems that the current dalle model has different structures and different weight keys. I'm guessing...
Follow the message (added some print statements to debug and removed clear_output) - Please advise `chosen_model: https://www.dropbox.com/s/8mmgnromwoilpfm/16L_64HD_8H_512I_128T_cc12m_cc3m_3E.pt?dl=1 folder_ /content/outputs/Cucumber_on_a_brown_wooden_chair/ Traceback (most recent call last): File "/content/dalle-pytorch-pretrained/DALLE-pytorch/generate.py", line 18, in from...
Thanks for sharing model! It seems like the dalle-pytorch pip version needs to be fixed in the colab example. `dalle-pytorch==1.14.3`-> `dalle-pytorch==0.14.3` 
Why not hosting pretrained weights in github repository release? You can upload files having GBs of size into repository release. And using a simple get request function, weights can be...
generating images for - the grand canyon with snow on it. snow located on the grand canyon. a snowy grand canyon.: 0% 0/1 [00:00
Using the simplified colab results in the code running properly (generating an image with the default parameters in 34s, though I don't have a reference as to if that's functioning...
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Here is a collection of checkpoints for DALLE-pytorch models, from where you can keep on training or start generating images.