import{s as Ae,n as ze,o as Oe}from"../chunks/scheduler.8c3d61f6.js";import{S as Se,i as je,g as a,s as r,r as l,A as Ge,h as o,f as i,c as n,j as x,u as m,x as K,k as y,y as g,a as s,v as f,d,t as u,w as p}from"../chunks/index.589a98e8.js";import{D as R}from"../chunks/Docstring.27406313.js";import{H as I,E as Re}from"../chunks/EditOnGithub.e5a8d9cb.js";function We(Te){let _,Y,Q,Z,w,ee,L,De="Utility and helper functions for working with 🤗 Diffusers.",te,P,ie,$,C,Ie,W,Ee="Convert a numpy image or a batch of images to a PIL image.",se,T,re,c,D,we,q,Ue="Convert a torch image to a PIL image.",ne,E,ae,v,U,Le,B,ke="Loads <code>image</code> to a PIL Image.",le,k,oe,N,V,me,H,fe,M,A,de,z,ue,h,O,Pe,F,Ne="Prepares a single grid of images. Useful for visualization purposes.",pe,S,ge,b,j,Ce,J,Ve=`A helper function to create random tensors on the desired <code>device</code> with the desired <code>dtype</code>. When
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&#x201C;RGB&#x201D;.`,name:"convert_method"}],source:"https://github.com/huggingface/diffusers/blob/vr_8454/src/diffusers/utils/loading_utils.py#L9",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


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