diffusers/pr_14278/en/_app/immutable/nodes/272.CB3dQ0cZ.js

import"../chunks/DsnmJJEf.js";import{aL as K,aM as O,s as x,aN as z,aO as A,aP as q,aQ as H,i as $,h as ss,C as es,H as I,b as ls,a as d,E as as}from"../chunks/DK7ZZwBu.js";import{p as P,t as Y,a as n,b as L,s as a,d as T,c as ns,h as os,r as ts,l as b,f as r,i as E,o as is,n as rs}from"../chunks/DK803DsY.js";import{s as U}from"../chunks/BzOvRKAw.js";import{i as w}from"../chunks/BTASUwav.js";import{p as Q}from"../chunks/DTwaC60R.js";import{H as F}from"../chunks/CNWwP9MX.js";var ps=T('<a target="_blank"><img alt="Open In Colab" class="!m-0" src="https://colab.research.google.com/assets/colab-badge.svg"/></a>'),cs=T('<img alt="Open In Colab" class="!m-0" src="https://colab.research.google.com/assets/colab-badge.svg"/>'),us=T('<a target="_blank"><img alt="Open In Studio Lab" class="!m-0" src="https://studiolab.sagemaker.aws/studiolab.svg"/></a>'),hs=T('<img alt="Open In Studio Lab" class="!m-0" src="https://studiolab.sagemaker.aws/studiolab.svg"/>'),ds=T("<div><!> <!> <!></div>");function bs(X,t){P(t,!0);let f=Q(t,"options",19,()=>[]),B=Q(t,"classNames",3,""),k=Q(t,"containerStyle",3,"");const y=f().filter(l=>l.value.includes("colab.research.google.com")),m=f().filter(l=>l.value.includes("studiolab.sagemaker.aws"));function _(l){window.open(l)}var J=ds(),g=ns(J);U(g,()=>t.alwaysVisible??os);var j=a(g,2);{var Z=l=>{var c=ps();Y(()=>x(c,"href",y[0].value)),n(l,c)},G=l=>{z(l,{btnLabel:"",classNames:"colab-dropdown",noBtnClass:!0,useDeprecatedJS:!1,button:M=>{var o=b(),p=r(o);{var u=s=>{var e=b(),i=r(e);U(i,()=>t.children),n(s,e)},h=s=>{var e=cs();n(s,e)};w(p,s=>{t.children?s(u):s(h,-1)})}n(M,o)},menu:M=>{var o=b(),p=r(o);{var u=s=>{var e=b(),i=r(e);U(i,()=>t.children),n(s,e)},h=s=>{var e=b(),i=r(e);A(i,17,()=>y,H,(R,v)=>{let W=()=>E(v).label,S=()=>E(v).value;q(R,{classNames:"text-sm !no-underline",iconClassNames:"text-gray-500",get label(){return W()},onClick:()=>_(S()),useDeprecatedJS:!1})}),n(s,e)};w(p,s=>{t.children?s(u):s(h,-1)})}n(M,o)},$$slots:{button:!0,menu:!0}})};w(j,l=>{y.length===1?l(Z):y.length>1&&l(G,1)})}var C=a(j,2);{var V=l=>{var c=us();Y(()=>x(c,"href",m[0].value)),n(l,c)},D=l=>{z(l,{btnLabel:"",classNames:"colab-dropdown",noBtnClass:!0,useDeprecatedJS:!1,button:M=>{var o=b(),p=r(o);{var u=s=>{var e=b(),i=r(e);U(i,()=>t.children),n(s,e)},h=s=>{var e=hs();n(s,e)};w(p,s=>{t.children?s(u):s(h,-1)})}n(M,o)},menu:M=>{var o=b(),p=r(o);{var u=s=>{var e=b(),i=r(e);U(i,()=>t.children),n(s,e)},h=s=>{var e=b(),i=r(e);A(i,17,()=>m,H,(R,v)=>{let W=()=>E(v).label,S=()=>E(v).value;q(R,{classNames:"text-sm !no-underline",iconClassNames:"text-gray-500",get label(){return W()},onClick:()=>_(S()),useDeprecatedJS:!1})}),n(s,e)};w(p,s=>{t.children?s(u):s(h,-1)})}n(M,o)},$$slots:{button:!0,menu:!0}})};w(C,l=>{m.length===1?l(V):m.length>1&&l(D,1)})}ts(J),Y(()=>{K(J,1,`flex space-x-1 ${B()??""}`),O(J,k())}),n(X,J),L()}const Ms='{"title":"Sharing pipelines and models","local":"sharing-pipelines-and-models","sections":[{"title":"Models","local":"models","sections":[],"depth":2},{"title":"Scheduler","local":"scheduler","sections":[],"depth":2},{"title":"Pipeline","local":"pipeline","sections":[],"depth":2},{"title":"Privacy","local":"privacy","sections":[],"depth":2}],"depth":1}';var Js=T('<meta name="hf:doc:metadata"/>'),Ts=T("<!> <!>",1),ys=T(`<p></p> <!> <!> <!> <p>Share your pipeline or models and schedulers on the Hub with the <a href="/docs/diffusers/pr_14278/en/api/pipelines/overview#diffusers.utils.PushToHubMixin">PushToHubMixin</a> class. This class:</p> <ol><li>creates a repository on the Hub</li> <li>saves your model, scheduler, or pipeline files so they can be reloaded later</li> <li>uploads folder containing these files to the Hub</li></ol> <p>This guide will show you how to upload your files to the Hub with the <a href="/docs/diffusers/pr_14278/en/api/pipelines/overview#diffusers.utils.PushToHubMixin">PushToHubMixin</a> class.</p> <p>Log in to your Hugging Face account with your access <a href="https://huggingface.co/settings/tokens" rel="nofollow">token</a>.</p> <!> <!> <p>To push a model to the Hub, call <a href="/docs/diffusers/pr_14278/en/api/pipelines/overview#diffusers.utils.PushToHubMixin.push_to_hub">push_to_hub()</a> and specify the repository id of the model.</p> <!> <p>The <a href="/docs/diffusers/pr_14278/en/api/pipelines/overview#diffusers.utils.PushToHubMixin.push_to_hub">push_to_hub()</a> method saves the model’s <code>config.json</code> file and the weights are automatically saved as safetensors files.</p> <p>Load the model again with <a href="/docs/diffusers/pr_14278/en/api/pipelines/overview#diffusers.DiffusionPipeline.from_pretrained">from_pretrained()</a>.</p> <!> <!> <p>To push a scheduler to the Hub, call <a href="/docs/diffusers/pr_14278/en/api/pipelines/overview#diffusers.utils.PushToHubMixin.push_to_hub">push_to_hub()</a> and specify the repository id of the scheduler.</p> <!> <p>The <a href="/docs/diffusers/pr_14278/en/api/pipelines/overview#diffusers.utils.PushToHubMixin.push_to_hub">push_to_hub()</a> function saves the scheduler’s <code>scheduler_config.json</code> file to the specified repository.</p> <p>Load the scheduler again with <a href="/docs/diffusers/pr_14278/en/api/schedulers/overview#diffusers.SchedulerMixin.from_pretrained">from_pretrained()</a>.</p> <!> <!> <p>To push a pipeline to the Hub, initialize the pipeline components with your desired parameters.</p> <!> <p>Pass all components to the pipeline and call <a href="/docs/diffusers/pr_14278/en/api/pipelines/overview#diffusers.utils.PushToHubMixin.push_to_hub">push_to_hub()</a>.</p> <!> <p>The <a href="/docs/diffusers/pr_14278/en/api/pipelines/overview#diffusers.utils.PushToHubMixin.push_to_hub">push_to_hub()</a> method saves each component to a subfolder in the repository. Load the pipeline again with <a href="/docs/diffusers/pr_14278/en/api/pipelines/overview#diffusers.DiffusionPipeline.from_pretrained">from_pretrained()</a>.</p> <!> <!> <p>Set <code>private=True</code> in <a href="/docs/diffusers/pr_14278/en/api/pipelines/overview#diffusers.utils.PushToHubMixin.push_to_hub">push_to_hub()</a> to keep a model, scheduler, or pipeline files private.</p> <!> <p>Private repositories are only visible to you. Other users won’t be able to clone the repository and it won’t appear in search results. Even if a user has the URL to your private repository, they’ll receive a <code>404 - Sorry, we can't find the page you are looking for</code>. You must be <a href="https://huggingface.co/docs/huggingface_hub/quick-start#login" rel="nofollow">logged in</a> to load a model from a private repository.</p> <!> <p></p>`,1);function Is(X,t){P(t,!1),is(()=>{new URLSearchParams(window.location.search).get("fw")}),$();var f=ys();ss("rl2c90",o=>{var p=Js();x(p,"content",Ms),n(o,p)});var B=a(r(f),2);es(B,{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"});var k=a(B,2);bs(k,{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;",options:[{label:"Mixed",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers_doc/en/push_to_hub.ipynb"},{label:"PyTorch",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers_doc/en/pytorch/push_to_hub.ipynb"},{label:"TensorFlow",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers_doc/en/tensorflow/push_to_hub.ipynb"},{label:"Mixed",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/diffusers_doc/en/push_to_hub.ipynb"},{label:"PyTorch",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/diffusers_doc/en/pytorch/push_to_hub.ipynb"},{label:"TensorFlow",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/diffusers_doc/en/tensorflow/push_to_hub.ipynb"}]});var y=a(k,2);I(y,{title:"Sharing pipelines and models",local:"sharing-pipelines-and-models",headingTag:"h1"});var m=a(y,10);ls(m,{id:"login",options:["notebook","hf CLI"],children:(o,p)=>{var u=Ts(),h=r(u);F(h,{id:"login",option:"notebook",children:(e,i)=>{d(e,{code:"ZnJvbSUyMGh1Z2dpbmdmYWNlX2h1YiUyMGltcG9ydCUyMG5vdGVib29rX2xvZ2luJTBBJTBBbm90ZWJvb2tfbG9naW4oKQ==",highlighted:`<span class="hljs-keyword">from</span> huggingface_hub <span class="hljs-keyword">import</span> notebook_login

notebook_login()`,lang:"py",wrap:!1})},$$slots:{default:!0}});var s=a(h,2);F(s,{id:"login",option:"hf CLI",children:(e,i)=>{d(e,{code:"aGYlMjBhdXRoJTIwbG9naW4=",highlighted:"hf auth login",lang:"bash",wrap:!1})},$$slots:{default:!0}}),n(o,u)},$$slots:{default:!0}});var _=a(m,2);I(_,{title:"Models",local:"models",headingTag:"h2"});var J=a(_,4);d(J,{code:"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",highlighted:`<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> ControlNetModel

controlnet = ControlNetModel(
    block_out_channels=(<span class="hljs-number">32</span>, <span class="hljs-number">64</span>),
    layers_per_block=<span class="hljs-number">2</span>,
    in_channels=<span class="hljs-number">4</span>,
    down_block_types=(<span class="hljs-string">&quot;DownBlock2D&quot;</span>, <span class="hljs-string">&quot;CrossAttnDownBlock2D&quot;</span>),
    cross_attention_dim=<span class="hljs-number">32</span>,
    conditioning_embedding_out_channels=(<span class="hljs-number">16</span>, <span class="hljs-number">32</span>),
)
controlnet.push_to_hub(<span class="hljs-string">&quot;my-controlnet-model&quot;</span>)`,lang:"py",wrap:!1});var g=a(J,6);d(g,{code:"bW9kZWwlMjAlM0QlMjBDb250cm9sTmV0TW9kZWwuZnJvbV9wcmV0cmFpbmVkKCUyMnlvdXItbmFtZXNwYWNlJTJGbXktY29udHJvbG5ldC1tb2RlbCUyMik=",highlighted:'model = ControlNetModel.from_pretrained(<span class="hljs-string">&quot;your-namespace/my-controlnet-model&quot;</span>)',lang:"py",wrap:!1});var j=a(g,2);I(j,{title:"Scheduler",local:"scheduler",headingTag:"h2"});var Z=a(j,4);d(Z,{code:"ZnJvbSUyMGRpZmZ1c2VycyUyMGltcG9ydCUyMERESU1TY2hlZHVsZXIlMEElMEFzY2hlZHVsZXIlMjAlM0QlMjBERElNU2NoZWR1bGVyKCUwQSUyMCUyMCUyMCUyMGJldGFfc3RhcnQlM0QwLjAwMDg1JTJDJTBBJTIwJTIwJTIwJTIwYmV0YV9lbmQlM0QwLjAxMiUyQyUwQSUyMCUyMCUyMCUyMGJldGFfc2NoZWR1bGUlM0QlMjJzY2FsZWRfbGluZWFyJTIyJTJDJTBBJTIwJTIwJTIwJTIwY2xpcF9zYW1wbGUlM0RGYWxzZSUyQyUwQSUyMCUyMCUyMCUyMHNldF9hbHBoYV90b19vbmUlM0RGYWxzZSUyQyUwQSklMEFzY2hlZHVsZXIucHVzaF90b19odWIoJTIybXktY29udHJvbG5ldC1zY2hlZHVsZXIlMjIp",highlighted:`<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> DDIMScheduler

scheduler = DDIMScheduler(
    beta_start=<span class="hljs-number">0.00085</span>,
    beta_end=<span class="hljs-number">0.012</span>,
    beta_schedule=<span class="hljs-string">&quot;scaled_linear&quot;</span>,
    clip_sample=<span class="hljs-literal">False</span>,
    set_alpha_to_one=<span class="hljs-literal">False</span>,
)
scheduler.push_to_hub(<span class="hljs-string">&quot;my-controlnet-scheduler&quot;</span>)`,lang:"py",wrap:!1});var G=a(Z,6);d(G,{code:"c2NoZWR1bGVyJTIwJTNEJTIwRERJTVNjaGVkdWxlci5mcm9tX3ByZXRyYWluZWQoJTIyeW91ci1uYW1lcHNhY2UlMkZteS1jb250cm9sbmV0LXNjaGVkdWxlciUyMik=",highlighted:'scheduler = DDIMScheduler.from_pretrained(<span class="hljs-string">&quot;your-namepsace/my-controlnet-scheduler&quot;</span>)',lang:"py",wrap:!1});var C=a(G,2);I(C,{title:"Pipeline",local:"pipeline",headingTag:"h2"});var V=a(C,4);d(V,{code:"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",highlighted:`<span class="hljs-keyword">from</span> diffusers <span class="hljs-keyword">import</span> (
    UNet2DConditionModel,
    AutoencoderKL,
    DDIMScheduler,
    StableDiffusionPipeline,
)
<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> CLIPTextModel, CLIPTextConfig, CLIPTokenizer

unet = UNet2DConditionModel(
    block_out_channels=(<span class="hljs-number">32</span>, <span class="hljs-number">64</span>),
    layers_per_block=<span class="hljs-number">2</span>,
    sample_size=<span class="hljs-number">32</span>,
    in_channels=<span class="hljs-number">4</span>,
    out_channels=<span class="hljs-number">4</span>,
    down_block_types=(<span class="hljs-string">&quot;DownBlock2D&quot;</span>, <span class="hljs-string">&quot;CrossAttnDownBlock2D&quot;</span>),
    up_block_types=(<span class="hljs-string">&quot;CrossAttnUpBlock2D&quot;</span>, <span class="hljs-string">&quot;UpBlock2D&quot;</span>),
    cross_attention_dim=<span class="hljs-number">32</span>,
)

scheduler = DDIMScheduler(
    beta_start=<span class="hljs-number">0.00085</span>,
    beta_end=<span class="hljs-number">0.012</span>,
    beta_schedule=<span class="hljs-string">&quot;scaled_linear&quot;</span>,
    clip_sample=<span class="hljs-literal">False</span>,
    set_alpha_to_one=<span class="hljs-literal">False</span>,
)

vae = AutoencoderKL(
    block_out_channels=[<span class="hljs-number">32</span>, <span class="hljs-number">64</span>],
    in_channels=<span class="hljs-number">3</span>,
    out_channels=<span class="hljs-number">3</span>,
    down_block_types=[<span class="hljs-string">&quot;DownEncoderBlock2D&quot;</span>, <span class="hljs-string">&quot;DownEncoderBlock2D&quot;</span>],
    up_block_types=[<span class="hljs-string">&quot;UpDecoderBlock2D&quot;</span>, <span class="hljs-string">&quot;UpDecoderBlock2D&quot;</span>],
    latent_channels=<span class="hljs-number">4</span>,
)

text_encoder_config = CLIPTextConfig(
    bos_token_id=<span class="hljs-number">0</span>,
    eos_token_id=<span class="hljs-number">2</span>,
    hidden_size=<span class="hljs-number">32</span>,
    intermediate_size=<span class="hljs-number">37</span>,
    layer_norm_eps=<span class="hljs-number">1e-05</span>,
    num_attention_heads=<span class="hljs-number">4</span>,
    num_hidden_layers=<span class="hljs-number">5</span>,
    pad_token_id=<span class="hljs-number">1</span>,
    vocab_size=<span class="hljs-number">1000</span>,
)
text_encoder = CLIPTextModel(text_encoder_config)
tokenizer = CLIPTokenizer.from_pretrained(<span class="hljs-string">&quot;hf-internal-testing/tiny-random-clip&quot;</span>)`,lang:"py",wrap:!1});var D=a(V,4);d(D,{code:"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",highlighted:`components = {
    <span class="hljs-string">&quot;unet&quot;</span>: unet,
    <span class="hljs-string">&quot;scheduler&quot;</span>: scheduler,
    <span class="hljs-string">&quot;vae&quot;</span>: vae,
    <span class="hljs-string">&quot;text_encoder&quot;</span>: text_encoder,
    <span class="hljs-string">&quot;tokenizer&quot;</span>: tokenizer,
    <span class="hljs-string">&quot;safety_checker&quot;</span>: <span class="hljs-literal">None</span>,
    <span class="hljs-string">&quot;feature_extractor&quot;</span>: <span class="hljs-literal">None</span>,
}

pipeline = StableDiffusionPipeline(**components)
pipeline.push_to_hub(<span class="hljs-string">&quot;my-pipeline&quot;</span>)`,lang:"py",wrap:!1});var l=a(D,4);d(l,{code:"cGlwZWxpbmUlMjAlM0QlMjBTdGFibGVEaWZmdXNpb25QaXBlbGluZS5mcm9tX3ByZXRyYWluZWQoJTIyeW91ci1uYW1lc3BhY2UlMkZteS1waXBlbGluZSUyMik=",highlighted:'pipeline = StableDiffusionPipeline.from_pretrained(<span class="hljs-string">&quot;your-namespace/my-pipeline&quot;</span>)',lang:"py",wrap:!1});var c=a(l,2);I(c,{title:"Privacy",local:"privacy",headingTag:"h2"});var N=a(c,4);d(N,{code:"Y29udHJvbG5ldC5wdXNoX3RvX2h1YiglMjJteS1jb250cm9sbmV0LW1vZGVsLXByaXZhdGUlMjIlMkMlMjBwcml2YXRlJTNEVHJ1ZSk=",highlighted:'controlnet.push_to_hub(<span class="hljs-string">&quot;my-controlnet-model-private&quot;</span>, private=<span class="hljs-literal">True</span>)',lang:"py",wrap:!1});var M=a(N,4);as(M,{source:"https://github.com/huggingface/diffusers/blob/main/docs/source/en/using-diffusers/push_to_hub.md"}),rs(2),n(X,f),L()}export{Is as component};