jtoy
jtoy
love the idea, but hard to implement in practice, especially with data that is essentially unlimited code.
@andfoy thanks for sharing your training implementation. What is the link for the article "Human-related Object Detection based on Natural Language Parsing of Image Query Expressions article"? is it this?...
Agreed, I had to find this github issue to learn that opal-browser should be used. The docs need way more organization.
I just ran into this as well. What should the work around be for this?
I was doing that before and I did it again, but it doesnt work for me. This is the command I run: python convert_diffusers_to_original_stable_diffusion.py --model_path /home/jtoy/sd/models/3 --checkpoint_path wtf5.ckpt the md5...
on more testing, If I run with --disable-safe-unpickle, it does load. How do I fix the models they can load without that error? I want to share it with some...
do you all get this same error?
this code works on python 3, check this works on python2 , might need to add this library to ensure compatibility: https://pythonhosted.org/six/ add some tests to show the code works...
I just added unit tests with travis.org so every commit will get unit tested. I want to have modify our test system so that we can verify it runs on...
@cryptomental here is an example of travis and tox together for testing both python 2.x and python 3.x: https://github.com/openai/gym/blob/master/tox.ini