When I type in "import " and then Ctrl-Space for completion I get "E29: No inserted text yet" and under that "Press ENTER of type command to continue" it then takes me out of insert mode, I try insert mode and Ctrl+Space again, and it en...
SD card can be inserted during this step, the device will then boot normally. 🔁 Cycling the power switch on the battery box or using the RESET button on the board has the same effect (reset printer state and increase folder number with the regular build). A new folder is created a...
For initializers with no arguments, a dummy Void argument with the name __ is inserted; otherwise, the label for the first argument has __ prepended. This transformation takes place after any other name manipulation, unless the declaration has a custom name. It will not occur if...
the weights of the text encoders are fully optimized, as opposed to just optimizing the inserted embeddings we saw in textual inversion (--train_text_encoder_ti)). If you wish the text encoder lr to always match --learning_rate, set --text_encoder_lr=None. Custom Captioning ...
[Jekyll](http://jekyllrb.com) is a static site generator, an open-source tool for creating simple yet powerful websites of all shapes and sizes. From [the project's readme](https://github.com/mojombo/jekyll/blob/master/README.markdown): > Jekyll is a simple, blog aware, static site...
To tackle this issue, we insert new tokens into the text encoders of the model, instead of reusing existing ones. We then optimize the newly-inserted token embeddings to represent the new concept: that is Textual Inversion – we learn to represent the concept through new "words" ...
the weights of the text encoders are fully optimized, as opposed to just optimizing the inserted embeddings we saw in textual inversion (--train_text_encoder_ti)). If you wish the text encoder lr to always match --learning_rate, set --text_encoder_lr=None. Custom Captionin...
To tackle this issue, we insert new tokens into the text encoders of the model, instead of reusing existing ones. We then optimize the newly-inserted token embeddings to represent the new concept: that is Textual Inversion – we learn to represent the concept through new "wor...
--train_text_encoder enables full text encoder training (i.e. the weights of the text encoders are fully optimized, as opposed to just optimizing the inserted embeddings we saw in textual inversion (--train_text_encoder_ti)). If you wish the text encoder lr to always match ...