import{S as Wr,i as Br,s as Vr,e as r,k as c,w as y,t as a,M as Dr,c as i,d as l,m as n,a as p,x as h,h as o,b as u,N as Rr,G as t,g as f,y as d,q as v,o as M,B as w,v as Nr}from"../../chunks/vendor-hf-doc-builder.js";import{T as Ar}from"../../chunks/Tip-hf-doc-builder.js";import{I as Ll}from"../../chunks/IconCopyLink-hf-doc-builder.js";import{C as $}from"../../chunks/CodeBlock-hf-doc-builder.js";function Yr(gl){let m,Y,b,T,S;return{c(){m=r("p"),Y=a("\uC6B0\uB9AC\uB294 "),b=r("code"),T=a(".safetensors"),S=a(" \uD615\uC2DD\uC744 \uCD94\uCC9C\uD569\uB2C8\uB2E4. \uC65C\uB0D0\uD558\uBA74 \uAE30\uC874\uC758 pickled \uD30C\uC77C\uC740 \uCDE8\uC57D\uD558\uACE0 \uBA38\uC2E0\uC5D0\uC11C \uCF54\uB4DC\uB97C \uC2E4\uD589\uD560 \uB54C \uC545\uC6A9\uB420 \uC218 \uC788\uB294 \uAC83\uC5D0 \uBE44\uD574 \uD6E8\uC52C \uB354 \uC548\uC804\uD569\uB2C8\uB2E4. (safetensors \uBD88\uB7EC\uC624\uAE30 \uAC00\uC774\uB4DC\uC5D0\uC11C \uC790\uC138\uD788 \uC54C\uC544\uBCF4\uC138\uC694.)")},l(U){m=i(U,"P",{});var G=p(m);Y=o(G,"\uC6B0\uB9AC\uB294 "),b=i(G,"CODE",{});var X=p(b);T=o(X,".safetensors"),X.forEach(l),S=o(G," \uD615\uC2DD\uC744 \uCD94\uCC9C\uD569\uB2C8\uB2E4. \uC65C\uB0D0\uD558\uBA74 \uAE30\uC874\uC758 pickled \uD30C\uC77C\uC740 \uCDE8\uC57D\uD558\uACE0 \uBA38\uC2E0\uC5D0\uC11C \uCF54\uB4DC\uB97C \uC2E4\uD589\uD560 \uB54C \uC545\uC6A9\uB420 \uC218 \uC788\uB294 \uAC83\uC5D0 \uBE44\uD574 \uD6E8\uC52C \uB354 \uC548\uC804\uD569\uB2C8\uB2E4. (safetensors \uBD88\uB7EC\uC624\uAE30 \uAC00\uC774\uB4DC\uC5D0\uC11C \uC790\uC138\uD788 \uC54C\uC544\uBCF4\uC138\uC694.)"),G.forEach(l)},m(U,G){f(U,m,G),t(m,Y),t(m,b),t(b,T),t(m,S)},d(U){U&&l(m)}}}function Xr(gl){let m,Y,b,T,S,U,G,X,as,Ql,H,os,Ae,rs,is,zl,P,Fl,Ye,ps,ql,W,x,sl,se,fs,al,cs,Ol,J,ns,ol,us,ms,rl,ys,hs,il,ds,vs,pl,Ms,ws,Kl,B,fl,bs,_s,cl,Js,Us,et,V,L,nl,ae,Es,ul,Ts,lt,oe,ml,ks,$s,tt,g,Zs,yl,Gs,Cs,st,re,js,at,Q,Is,hl,Ss,Ws,ot,Xe,Bs,rt,ie,it,He,Vs,pt,Pe,pe,Ds,dl,Rs,Ns,ft,xe,As,ct,fe,nt,ce,vl,Ys,ut,ne,mt,ue,Ml,Xs,yt,C,z,wl,Hs,Ps,bl,xs,Ls,gs,F,_l,Qs,zs,Jl,Fs,qs,Os,Le,Ul,Ks,ea,ht,ge,la,dt,me,El,ta,vt,ye,Mt,he,de,sa,ve,aa,oa,wt,Me,bt,D,q,Tl,we,ra,kl,ia,_t,Qe,pa,Jt,_,be,fa,ca,_e,na,ua,Je,ma,ya,Ue,ha,da,Ee,va,Ma,Ut,E,Te,wa,ba,$l,_a,Ja,Zl,Ua,Ea,Gl,Ta,ka,Et,j,$a,Cl,Za,Ga,jl,Ca,ja,Tt,ze,Ia,kt,k,Il,Sa,Wa,Sl,Ba,Va,Wl,Da,Ra,Fe,Bl,Na,Aa,$t,ke,Vl,Ya,Xa,Zt,O,Ha,Dl,Pa,xa,Gt,$e,Ct,qe,La,jt,Ze,It,R,K,Rl,Ge,ga,Nl,Qa,St,N,Ce,za,Fa,je,qa,Oa,Wt,ee,Ka,Al,eo,lo,Bt,Ie,Vt,le,to,Se,so,ao,Dt,We,Rt,Oe,oo,Nt,Be,At,Ke,ro,Yt,Ve,Xt,el,io,Ht,De,Pt,Re,Yl,uo,xt;return U=new Ll({}),P=new Ar({props:{$$slots:{default:[Yr]},$$scope:{ctx:gl}}}),se=new Ll({}),ae=new Ll({}),ie=new $({props:{code:"aHVnZ2luZ2ZhY2UtY2xpJTIwbG9naW4=",highlighted:"huggingface-cli login"}}),fe=new $({props:{code:"Z2l0JTIwbGZzJTIwaW5zdGFsbCUwQWdpdCUyMGNsb25lJTIwaHR0cHMlM0ElMkYlMkZodWdnaW5nZmFjZS5jbyUyRkNpYXJhUm93bGVzJTJGVGVtcG9yYWxOZXQ=",highlighted:`git lfs install
git <span class="hljs-built_in">clone</span> https://huggingface.co/CiaraRowles/TemporalNet`}}),ne=new $({props:{code:"Y2QlMjBUZW1wb3JhbE5ldCUyMCUyNiUyNiUyMGdpdCUyMGZldGNoJTIwb3JpZ2luJTIwcmVmcyUyRnByJTJGMTMlM0FwciUyRjEzJTBBZ2l0JTIwY2hlY2tvdXQlMjBwciUyRjEz",highlighted:`<span class="hljs-built_in">cd</span> TemporalNet &amp;&amp; git fetch origin refs/pr/13:<span class="hljs-built_in">pr</span>/13
git checkout <span class="hljs-built_in">pr</span>/13`}}),ye=new $({props:{code:"cHl0aG9uJTIwLi4lMkZkaWZmdXNlcnMlMkZzY3JpcHRzJTJGY29udmVydF9vcmlnaW5hbF9zdGFibGVfZGlmZnVzaW9uX3RvX2RpZmZ1c2Vycy5weSUyMC0tY2hlY2twb2ludF9wYXRoJTIwdGVtcG9yYWxuZXR2My5ja3B0JTIwLS1vcmlnaW5hbF9jb25maWdfZmlsZSUyMGNsZG1fdjE1LnlhbWwlMjAtLWR1bXBfcGF0aCUyMC4lMkYlMjAtLWNvbnRyb2xuZXQ=",highlighted:"python ../diffusers/scripts/convert_original_stable_diffusion_to_diffusers.py --checkpoint_path temporalnetv3.ckpt --original_config_file cldm_v15.yaml --dump_path ./ --controlnet"}}),Me=new $({props:{code:"Z2l0JTIwcHVzaCUyMG9yaWdpbiUyMHByJTJGMTMlM0FyZWZzJTJGcHIlMkYxMw==",highlighted:'git push origin <span class="hljs-built_in">pr</span>/13:refs/pr/13'}}),we=new Ll({}),$e=new $({props:{code:"ZnJvbSUyMGRpZmZ1c2VycyUyMGltcG9ydCUyMERpZmZ1c2lvblBpcGVsaW5lJTBBJTBBcGlwZWxpbmUlMjAlM0QlMjBEaWZmdXNpb25QaXBlbGluZS5mcm9tX3ByZXRyYWluZWQoJTIyc2F5YWtwYXVsJTJGdGV4dHVhbC1pbnZlcnNpb24tY2F0LWtlcmFzY3Zfc2RfZGlmZnVzZXJzX3BpcGVsaW5lJTIyKQ==",highlighted:`<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> DiffusionPipeline

pipeline = DiffusionPipeline.from_pretrained(<span class="hljs-string">&quot;sayakpaul/textual-inversion-cat-kerascv_sd_diffusers_pipeline&quot;</span>)`}}),Ze=new $({props:{code:"ZnJvbSUyMGRpZmZ1c2VycyUyMGltcG9ydCUyMERpZmZ1c2lvblBpcGVsaW5lJTBBJTBBcGlwZWxpbmUlMjAlM0QlMjBEaWZmdXNpb25QaXBlbGluZS5mcm9tX3ByZXRyYWluZWQoJTIyc2F5YWtwYXVsJTJGdGV4dHVhbC1pbnZlcnNpb24tY2F0LWtlcmFzY3Zfc2RfZGlmZnVzZXJzX3BpcGVsaW5lJTIyKSUwQXBpcGVsaW5lLnRvKCUyMmN1ZGElMjIpJTBBJTBBcGxhY2Vob2xkZXJfdG9rZW4lMjAlM0QlMjAlMjIlM0NteS1mdW5ueS1jYXQtdG9rZW4lM0UlMjIlMEFwcm9tcHQlMjAlM0QlMjBmJTIydHdvJTIwJTdCcGxhY2Vob2xkZXJfdG9rZW4lN0QlMjBnZXR0aW5nJTIwbWFycmllZCUyQyUyMHBob3RvcmVhbGlzdGljJTJDJTIwaGlnaCUyMHF1YWxpdHklMjIlMEFpbWFnZSUyMCUzRCUyMHBpcGVsaW5lKHByb21wdCUyQyUyMG51bV9pbmZlcmVuY2Vfc3RlcHMlM0Q1MCkuaW1hZ2VzJTVCMCU1RA==",highlighted:`<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> DiffusionPipeline

pipeline = DiffusionPipeline.from_pretrained(<span class="hljs-string">&quot;sayakpaul/textual-inversion-cat-kerascv_sd_diffusers_pipeline&quot;</span>)
pipeline.to(<span class="hljs-string">&quot;cuda&quot;</span>)

placeholder_token = <span class="hljs-string">&quot;&lt;my-funny-cat-token&gt;&quot;</span>
prompt = <span class="hljs-string">f&quot;two <span class="hljs-subst">{placeholder_token}</span> getting married, photorealistic, high quality&quot;</span>
image = pipeline(prompt, num_inference_steps=<span class="hljs-number">50</span>).images[<span class="hljs-number">0</span>]`}}),Ge=new Ll({}),Ie=new $({props:{code:"ZnJvbSUyMGRpZmZ1c2VycyUyMGltcG9ydCUyMERpZmZ1c2lvblBpcGVsaW5lJTJDJTIwVW5pUENNdWx0aXN0ZXBTY2hlZHVsZXIlMEFpbXBvcnQlMjB0b3JjaCUwQSUwQXBpcGVsaW5lJTIwJTNEJTIwRGlmZnVzaW9uUGlwZWxpbmUuZnJvbV9wcmV0cmFpbmVkKCUwQSUyMCUyMCUyMCUyMCUyMmFuZGl0ZSUyRmFueXRoaW5nLXY0LjAlMjIlMkMlMjB0b3JjaF9kdHlwZSUzRHRvcmNoLmZsb2F0MTYlMkMlMjBzYWZldHlfY2hlY2tlciUzRE5vbmUlMEEpLnRvKCUyMmN1ZGElMjIpJTBBcGlwZWxpbmUuc2NoZWR1bGVyJTIwJTNEJTIwVW5pUENNdWx0aXN0ZXBTY2hlZHVsZXIuZnJvbV9jb25maWcocGlwZWxpbmUuc2NoZWR1bGVyLmNvbmZpZyk=",highlighted:`<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> DiffusionPipeline, UniPCMultistepScheduler
<span class="hljs-keyword">import</span> torch

pipeline = DiffusionPipeline.from_pretrained(
    <span class="hljs-string">&quot;andite/anything-v4.0&quot;</span>, torch_dtype=torch.float16, safety_checker=<span class="hljs-literal">None</span>
).to(<span class="hljs-string">&quot;cuda&quot;</span>)
pipeline.scheduler = UniPCMultistepScheduler.from_config(pipeline.scheduler.config)`}}),We=new $({props:{code:"IXdnZXQlMjBodHRwcyUzQSUyRiUyRmNpdml0YWkuY29tJTJGYXBpJTJGZG93bmxvYWQlMkZtb2RlbHMlMkYxOTk5OCUyMC1PJTIwaG93bHNfbW92aW5nX2Nhc3RsZS5zYWZldGVuc29ycw==",highlighted:"!wget https://civitai.com/api/download/models/19998 -O howls_moving_castle.safetensors"}}),Be=new $({props:{code:"cGlwZWxpbmUubG9hZF9sb3JhX3dlaWdodHMoJTIyLiUyMiUyQyUyMHdlaWdodF9uYW1lJTNEJTIyaG93bHNfbW92aW5nX2Nhc3RsZS5zYWZldGVuc29ycyUyMik=",highlighted:'pipeline.load_lora_weights(<span class="hljs-string">&quot;.&quot;</span>, weight_name=<span class="hljs-string">&quot;howls_moving_castle.safetensors&quot;</span>)'}}),Ve=new $({props:{code:"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",highlighted:`prompt = <span class="hljs-string">&quot;masterpiece, illustration, ultra-detailed, cityscape, san francisco, golden gate bridge, california, bay area, in the snow, beautiful detailed starry sky&quot;</span>
negative_prompt = <span class="hljs-string">&quot;lowres, cropped, worst quality, low quality, normal quality, artifacts, signature, watermark, username, blurry, more than one bridge, bad architecture&quot;</span>

images = pipeline(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=<span class="hljs-number">512</span>,
    height=<span class="hljs-number">512</span>,
    num_inference_steps=<span class="hljs-number">25</span>,
    num_images_per_prompt=<span class="hljs-number">4</span>,
    generator=torch.manual_seed(<span class="hljs-number">0</span>),
).images`}}),De=new $({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> PIL <span class="hljs-keyword">import</span> Image


<span class="hljs-keyword">def</span> <span class="hljs-title function_">image_grid</span>(<span class="hljs-params">imgs, rows=<span class="hljs-number">2</span>, cols=<span class="hljs-number">2</span></span>):
    w, h = imgs[<span class="hljs-number">0</span>].size
    grid = Image.new(<span class="hljs-string">&quot;RGB&quot;</span>, size=(cols * w, rows * h))

    <span class="hljs-keyword">for</span> i, img <span class="hljs-keyword">in</span> <span class="hljs-built_in">enumerate</span>(imgs):
        grid.paste(img, box=(i % cols * w, i // cols * h))
    <span class="hljs-keyword">return</span> grid


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