diffusers/v0.29.2/en/_app/immutable/nodes/133.2be46dea.js

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 $,Y,Q,Z,w,ee,L,De="Utility and helper functions for working with 🤗 Diffusers.",te,P,ie,_,C,Ie,W,Ee="Convert a numpy image or a batch of images to a PIL image.",se,T,re,c,D,we,q,Ue="Convert a torch image to a PIL image.",ne,E,ae,v,U,Le,B,ke="Loads <code>image</code> to a PIL Image.",le,k,oe,N,V,me,H,fe,M,A,de,z,ue,h,O,Pe,F,Ne="Prepares a single grid of images. Useful for visualization purposes.",pe,S,ge,b,j,Ce,J,Ve=`A helper function to create random tensors on the desired <code>device</code> with the desired <code>dtype</code>. When
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is always created on the CPU.`,$e,G,_e,X,ce;return w=new I({props:{title:"Utilities",local:"utilities",headingTag:"h1"}}),P=new I({props:{title:"numpy_to_pil",local:"diffusers.utils.numpy_to_pil",headingTag:"h2"}}),C=new R({props:{name:"diffusers.utils.numpy_to_pil",anchor:"diffusers.utils.numpy_to_pil",parameters:[{name:"images",val:""}],source:"https://github.com/huggingface/diffusers/blob/v0.29.2/src/diffusers/utils/pil_utils.py#L37"}}),T=new I({props:{title:"pt_to_pil",local:"diffusers.utils.pt_to_pil",headingTag:"h2"}}),D=new R({props:{name:"diffusers.utils.pt_to_pil",anchor:"diffusers.utils.pt_to_pil",parameters:[{name:"images",val:""}],source:"https://github.com/huggingface/diffusers/blob/v0.29.2/src/diffusers/utils/pil_utils.py#L27"}}),E=new I({props:{title:"load_image",local:"diffusers.utils.load_image",headingTag:"h2"}}),U=new R({props:{name:"diffusers.utils.load_image",anchor:"diffusers.utils.load_image",parameters:[{name:"image",val:": Union"},{name:"convert_method",val:": Callable = None"}],parametersDescription:[{anchor:"diffusers.utils.load_image.image",description:`<strong>image</strong> (<code>str</code> or <code>PIL.Image.Image</code>) &#x2014;
The image to convert to the PIL Image format.`,name:"image"},{anchor:"diffusers.utils.load_image.convert_method",description:`<strong>convert_method</strong> (Callable[[PIL.Image.Image], PIL.Image.Image], optional) &#x2014;
A conversion method to apply to the image after loading it. When set to <code>None</code> the image will be converted
&#x201C;RGB&#x201D;.`,name:"convert_method"}],source:"https://github.com/huggingface/diffusers/blob/v0.29.2/src/diffusers/utils/loading_utils.py#L9",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>A PIL Image.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><code>PIL.Image.Image</code></p>
`}}),k=new I({props:{title:"export_to_gif",local:"diffusers.utils.export_to_gif",headingTag:"h2"}}),V=new R({props:{name:"diffusers.utils.export_to_gif",anchor:"diffusers.utils.export_to_gif",parameters:[{name:"image",val:": List"},{name:"output_gif_path",val:": str = None"},{name:"fps",val:": int = 10"}],source:"https://github.com/huggingface/diffusers/blob/v0.29.2/src/diffusers/utils/export_utils.py#L31"}}),H=new I({props:{title:"export_to_video",local:"diffusers.utils.export_to_video",headingTag:"h2"}}),A=new R({props:{name:"diffusers.utils.export_to_video",anchor:"diffusers.utils.export_to_video",parameters:[{name:"video_frames",val:": Union"},{name:"output_video_path",val:": str = None"},{name:"fps",val:": int = 10"}],source:"https://github.com/huggingface/diffusers/blob/v0.29.2/src/diffusers/utils/export_utils.py#L118"}}),z=new I({props:{title:"make_image_grid",local:"diffusers.utils.make_image_grid",headingTag:"h2"}}),O=new R({props:{name:"diffusers.utils.make_image_grid",anchor:"diffusers.utils.make_image_grid",parameters:[{name:"images",val:": List"},{name:"rows",val:": int"},{name:"cols",val:": int"},{name:"resize",val:": int = None"}],source:"https://github.com/huggingface/diffusers/blob/v0.29.2/src/diffusers/utils/pil_utils.py#L53"}}),S=new I({props:{title:"randn_tensor",local:"diffusers.utils.torch_utils.randn_tensor",headingTag:"h2"}}),j=new R({props:{name:"diffusers.utils.torch_utils.randn_tensor",anchor:"diffusers.utils.torch_utils.randn_tensor",parameters:[{name:"shape",val:": Union"},{name:"generator",val:": Union = None"},{name:"device",val:": Optional = None"},{name:"dtype",val:": Optional = None"},{name:"layout",val:": Optional = None"}],source:"https://github.com/huggingface/diffusers/blob/v0.29.2/src/diffusers/utils/torch_utils.py#L38"}}),G=new 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