import{S as ll,i as ol,s as il,e as a,k as f,w as v,t as o,M as al,c as r,d as t,m,a as n,x as _,h as i,b as h,N as tl,G as s,g as p,y as g,L as rl,q as E,o as J,B as M,v as pl}from"../../chunks/vendor-hf-doc-builder.js";import{I as sl}from"../../chunks/IconCopyLink-hf-doc-builder.js";import{C as K}from"../../chunks/CodeBlock-hf-doc-builder.js";function nl(_s){let b,Ze,w,T,me,B,dt,he,bt,Ie,ee,wt,Ue,d,yt,te,vt,_t,X,gt,Et,Ge,y,$,ce,z,Jt,ue,Mt,Ve,c,Tt,de,$t,Zt,S,It,Ut,D,Gt,Vt,be,kt,Ct,P,we,xt,Wt,se,Nt,jt,ke,Z,Bt,H,Xt,zt,Ce,I,St,ye,Dt,Pt,xe,R,We,le,Ht,Ne,oe,ie,gs,je,ae,Rt,Be,U,Yt,ve,At,Ft,Xe,Y,ze,G,Qt,_e,qt,Ot,Se,A,De,V,Lt,ge,Kt,es,Pe,F,He,k,ts,Ee,ss,ls,Re,Q,Ye,C,os,Je,is,as,Ae,q,Fe,re,rs,Qe,pe,ne,Es,qe,x,ps,Me,ns,fs,Oe,W,ms,Te,hs,cs,Le,N,us,$e,ds,bs,Ke,O,et,j,ws,L,ys,vs,tt;return B=new sl({}),z=new sl({}),R=new K({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> StableDiffusionPipeline, UniPCMultistepScheduler

pipe = StableDiffusionPipeline.from_pretrained(<span class="hljs-string">&quot;CompVis/stable-diffusion-v1-4&quot;</span>)
pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config)

prompt = <span class="hljs-string">&quot;a red cat playing with a ball&quot;</span>

generator = torch.Generator(device=<span class="hljs-string">&quot;cpu&quot;</span>).manual_seed(<span class="hljs-number">33</span>)

image = pipe(prompt, generator=generator, num_inference_steps=<span class="hljs-number">20</span>).images[<span class="hljs-number">0</span>]
image`}}),Y=new K({props:{code:"cGlwJTIwaW5zdGFsbCUyMGNvbXBlbA==",highlighted:'pip <span class="hljs-keyword">install</span> compel'}}),A=new K({props:{code:"ZnJvbSUyMGNvbXBlbCUyMGltcG9ydCUyMENvbXBlbCUwQSUwQWNvbXBlbF9wcm9jJTIwJTNEJTIwQ29tcGVsKHRva2VuaXplciUzRHBpcGUudG9rZW5pemVyJTJDJTIwdGV4dF9lbmNvZGVyJTNEcGlwZS50ZXh0X2VuY29kZXIp",highlighted:`<span class="hljs-keyword">from</span> compel <span class="hljs-keyword">import</span> Compel

compel_proc = Compel(tokenizer=pipe.tokenizer, text_encoder=pipe.text_encoder)`}}),F=new K({props:{code:"cHJvbXB0JTIwJTNEJTIwJTIyYSUyMHJlZCUyMGNhdCUyMHBsYXlpbmclMjB3aXRoJTIwYSUyMGJhbGwlMkIlMkIlMjI=",highlighted:'prompt = <span class="hljs-string">&quot;a red cat playing with a ball++&quot;</span>'}}),Q=new K({props:{code:"cHJvbXB0X2VtYmVkcyUyMCUzRCUyMGNvbXBlbF9wcm9jKHByb21wdCk=",highlighted:"prompt_embeds = compel_proc(prompt)"}}),q=new K({props:{code:"Z2VuZXJhdG9yJTIwJTNEJTIwdG9yY2guR2VuZXJhdG9yKGRldmljZSUzRCUyMmNwdSUyMikubWFudWFsX3NlZWQoMzMpJTBBJTBBaW1hZ2VzJTIwJTNEJTIwcGlwZShwcm9tcHRfZW1iZWRzJTNEcHJvbXB0X2VtYmVkcyUyQyUyMGdlbmVyYXRvciUzRGdlbmVyYXRvciUyQyUyMG51bV9pbmZlcmVuY2Vfc3RlcHMlM0QyMCkuaW1hZ2VzJTVCMCU1RCUwQWltYWdl",highlighted:`generator = torch.Generator(device=<span class="hljs-string">&quot;cpu&quot;</span>).manual_seed(<span class="hljs-number">33</span>)

images = pipe(prompt_embeds=prompt_embeds, generator=generator, num_inference_steps=<span class="hljs-number">20</span>).images[<span class="hljs-number">0</span>]
image`}}),O=new K({props:{code:"dGV4dHVhbF9pbnZlcnNpb25fbWFuYWdlciUyMCUzRCUyMERpZmZ1c2Vyc1RleHR1YWxJbnZlcnNpb25NYW5hZ2VyKHBpcGUpJTBBY29tcGVsJTIwJTNEJTIwQ29tcGVsKCUwQSUyMCUyMCUyMCUyMHRva2VuaXplciUzRHBpcGUudG9rZW5pemVyJTJDJTBBJTIwJTIwJTIwJTIwdGV4dF9lbmNvZGVyJTNEcGlwZS50ZXh0X2VuY29kZXIlMkMlMEElMjAlMjAlMjAlMjB0ZXh0dWFsX2ludmVyc2lvbl9tYW5hZ2VyJTNEdGV4dHVhbF9pbnZlcnNpb25fbWFuYWdlcik=",highlighted:`<span class="hljs-attr">textual_inversion_manager</span> = DiffusersTextualInversionManager(pipe)
<span class="hljs-attr">compel</span> = Compel(
    <span class="hljs-attr">tokenizer</span>=pipe.tokenizer,
    <span class="hljs-attr">text_encoder</span>=pipe.text_encoder,
    <span class="hljs-attr">textual_inversion_manager</span>=textual_inversion_manager)`}}),{c(){b=a("meta"),Ze=f(),w=a("h1"),T=a("a"),me=a("span"),v(B.$$.fragment),dt=f(),he=a("span"),bt=o("Weighting prompts"),Ie=f(),ee=a("p"),wt=o(`Text-guided diffusion models generate images based on a given text prompt. The text prompt
can include multiple concepts that the model should generate and it\u2019s often desirable to weight
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Thus a simple way to emphasize (or de-emphasize) certain parts of the prompt is by increasing or reducing the scale of the text embedding vector that corresponds to the relevant part of the prompt.
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a try!`),Oe=f(),W=a("p"),ms=o("If your favorite pipeline does not have a "),Te=a("code"),hs=o("prompt_embeds"),cs=o(` input, please make sure to open an issue, the
diffusers team tries to be as responsive as possible.`),Le=f(),N=a("p"),us=o("Compel 1.1.6 adds a utility class to simplify using textual inversions.  Instantiate a "),$e=a("code"),ds=o("DiffusersTextualInversionManager"),bs=o(" and pass it to Compel init:"),Ke=f(),v(O.$$.fragment),et=f(),j=a("p"),ws=o("Also, please check out the documentation of the "),L=a("a"),ys=o("compel"),vs=o(` library for
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