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

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

extract descriptors from the model :param batch: batch to extract descriptors for. Has shape BxCxHxW. :param layers: layer to

Freeze the weights of the parts belonging to the base UNet2DConditionModel, and leave everything else unfrozen for fine tuning.

r""" Generate a latent mask given a mask prompt, a target prompt, and an image. Args: image (`PIL.Image.Image`):

grid_size: int of the grid height and width return: pos_embed: [grid_size*grid_size, embed_dim] or [1+grid_size*grid_size, embed_dim] (w/ or

Gets the list of the current active adapters. Example: ```python from diffusers import DiffusionPipeline p

Calculates the current discretization steps at global step k using the discretization curriculum N(k).

For some tests we also need the underlying UNet. For these, we'll build the UNetControlNetXSModel from the UNet and ControlNetXS-Adapter

Makes broadcastable attention and causal masks so that future and masked tokens are ignored. Arguments: attention_mask (

Get the model modules inside the transformers library.

Get the objects in module that are models.

Get the index (e.g. 2) from the prediction (e.g. 'C')

Whether the task has a training set

r""" The function to the pipeline for image inversion as described by the [LEDITS++ Paper](https://arxiv.org/abs/2301.12247). If the s

Returns a new pipeline object of the class 'DiffusionPipeline' with the merged checkpoints(weights) of the models passed in the argum

Normalize the str to lower case and make them float numbers if possible. https://github.com/MMMU-Benchmark/MMMU/blob/51ce7f3e829c16bb44bc5445

Normalize the str to lower case and make them float numbers if possible. https://github.com/MMMU-Benchmark/MMMU/blob/51ce7f3e829c16bb44bc5445

Convert a numpy image or a batch of images to a PIL image.

Concatenate x and its positional encodings, following NeRF. Reference: https://arxiv.org/pdf/2210.04628.pdf

Given a list of sources, each is a conversation list. This transform: 1. Add signal '### ' at the beginning each sentence, with end signal '\

Preprocesses an image before extraction. :param image_path: path to image to be extracted. :param load_size: optional. Size t