1. Determine the number of query chunks.
2. Calculate the final shape of the res tensor.
3. Initialize the tensor with the calculated shape and dtype, (same dtype as the input tensors, usually)

Can initialize the tensor as a zero-filled tensor with the correct shape and dtype, then compute the attention scores for each query chunk and fill the corresponding slice of tensor.

allow setting defaults for elements in extensions' tabs
fix a problem with ESRGAN upscalers disappearing after UI reload
implicit change: HTML element id for train tab from tab_ti to tab_train (will this break things?)

Ruff

Replace pylint CI with ruff

Fix up string formatting/concatenation to f-strings where feasible

1.1.1 quicksettings list migration

Refresh fix

Add api method to get LoRA models with prompt

make it so that custom context menu from contextMenu.js only disappears after user's click, ignoring non-user click events

Fix MPS on PyTorch 2.0.1, Intel Macs

Apparently the commit in the main branch of pytorch/pytorch that fixes this issue didn't make it into PyTorch 2.0.1, and since it is unclear exactly which release will have it we'll just always apply the workaround so a crash doesn't occur regardless.

add extended info for quicksettings setting