Add PyPI install about min-dalle HOT 9 CLOSED

I added the package to PyPI and now the entire setup process is pip install min-dalle. The model parameters are downloaded as needed with just the requests library. Thanks for the suggestions. I should probably also add a flag for verbose to prevent the print statements

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The colab now runs purely in torch and downloads pre-converted pytorch parameters from the HF hub. Saves a lot of time.

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awesome thank you for doing this @kuprel

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This is great! Thank you for doing this. I also see the verbose flag now. I'll close this issue.

I've used your work for an example notebook that generates an image from a webpage summary. You can see it here. Thanks again for creating this library!

https://colab.research.google.com/github/neuml/txtai/blob/master/examples/35_Pictures_are_worth_a_thousand_words.ipynb
https://dev.to/neuml/pictures-are-a-worth-a-thousand-words-144k

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Wow that's really cool

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Thanks! I like your idea of uploading the pt files to the HF hub, doing that now. It will save a lot of time converting from flax and get rid of a lot of ugly conversion code. Will look into the PyPI install

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Sounds great!

I could see it where the default install_requires only needs torch and huggingface-hub. You could add optional dependencies for flax. That way if someone just wants to use the torch models, they only need torch installed.

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That's great! Definitely seems simpler now.

If you wanted to programmatically download models vs depending on running curl you could add the huggingface_hub library and do something like this:

from huggingface_hub import hf_hub_url, cached_download

config_file_url = hf_hub_url("kuprel/min-dalle", filename="vocab.json")
cached_download(config_file_url)

https://huggingface.co/docs/huggingface_hub/how-to-downstream

This would also open up option to parameterize the model loaded (defaulting to yours) and let someone load an alternative model.

Could also consider having two hf model projects, one for mini and one for mega.

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Thanks. Good luck with this project, looking forward to seeing it grow!

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