r""" copy from diffuser 0.11.1 A cross attention layer. Parameters: query_dim (`int`): The number of channels in the query.

Embeds text prompt into vector representations. Also handles text dropout for classifier-free guidance.

Uses the CLIP transformer encoder for text (from Hugging Face)

Utilities for training and sampling diffusion models. Original ported from this codebase: https://github.com/hojonathanho/diffusion/bl

A diffusion process which can skip steps in a base diffusion process. :param use_timesteps: a collection (sequence or set) of timesteps fro

First use the short side for cropping length, center crop video, then resize to the specified size

Which type of output the model predicts.

What is used as the model's output variance. The LEARNED_RANGE option has been added to allow the model to predict values between FIXE

Normalize the video clip by mean subtraction and division by standard deviation Args: mean (3-tuple): pixel RGB mean std

First use the short side for cropping length, center crop video, then resize to the specified size

A distribution over timesteps in the diffusion process, intended to reduce variance of the objective. By default, samplers perform unb

Convert tensor data type from uint8 to float, divide value by 255.0 and permute the dimensions of clip tensor