larger step -> smaller t -> smaller alphas[t:] -> smaller xt -> smaller x0

Return the mean average distance in pixel values between `left` and `right`. Both `left and `right` should be 2 dimensional 8-bit images of the sa

Usage: Use before and after sampling previews. Currently only available for Stable LoRA.

Converts a loaded safetensor file that contains a set of module Loras into Parameters and other information Output is a dictionary of {

Converts a loaded safetensor file that contains Textual Inversion embeds into a dictionary of embed_token: Tensor

Appends dimensions to the end of a tensor until it has target_dims dimensions.

Saves the Lora from multiple modules in a single safetensor file. modelmap is a dictionary of { "module name": (module, target_repla

Detect edges using the luma channel of a frame. Arguments: lum: 2D 8-bit image representing the luma channel of a frame. Returns:

r""" Encodes the prompt into text encoder hidden states. Args: prompt (`str` or `List[str]`, *optional*):

Converts the Lora from multiple pytorch .pt files into a single safetensor file. modelmap is a dictionary of { "module name": (pytor