inference-providers/pr_1663/en/_app/immutable/nodes/23.df80b4a4.js

import{s as ye,o as Je,n as ie}from"../chunks/scheduler.f6b352c8.js";import{S as we,i as Te,g as M,s as p,r as J,A as $e,h as y,f as n,c,j as ge,u as w,x as j,k as Me,y as Ue,a as i,v as T,d as $,t as U,w as b}from"../chunks/index.6149cea3.js";import{T as be}from"../chunks/Tip.25311665.js";import{C as N}from"../chunks/CodeBlock.6f146ba5.js";import{I as je,M as re}from"../chunks/InferenceApi.5035f7e4.js";import{H as Y,E as ke}from"../chunks/index.f7afb948.js";function Ie(k){let t,o='For more details about the <code>text-to-image</code> task, check out its <a href="https://huggingface.co/tasks/text-to-image" rel="nofollow">dedicated page</a>! You will find examples and related materials.';return{c(){t=M("p"),t.innerHTML=o},l(s){t=y(s,"P",{"data-svelte-h":!0}),j(t)!=="svelte-1bghtns"&&(t.innerHTML=o)},m(s,r){i(s,t,r)},p:ie,d(s){s&&n(t)}}}function Ze(k){let t,o="Using <code>huggingface_hub</code>:",s,r,d,f,Z="Using <code>requests</code>:",B,u,g,h,_='To use the Python client, see <code>huggingface_hub</code>’s <a href="https://huggingface.co/docs/huggingface_hub/package_reference/inference_client#huggingface_hub.InferenceClient.text_to_image" rel="nofollow">package reference</a>.',I;return r=new N({props:{code:"ZnJvbSUyMGh1Z2dpbmdmYWNlX2h1YiUyMGltcG9ydCUyMEluZmVyZW5jZUNsaWVudCUwQSUwQWNsaWVudCUyMCUzRCUyMEluZmVyZW5jZUNsaWVudCglMEElMDlwcm92aWRlciUzRCUyMmhmLWluZmVyZW5jZSUyMiUyQyUwQSUwOWFwaV9rZXklM0QlMjJoZl8qKiolMjIlMEEpJTBBJTBBJTIzJTIwb3V0cHV0JTIwaXMlMjBhJTIwUElMLkltYWdlJTIwb2JqZWN0JTBBaW1hZ2UlMjAlM0QlMjBjbGllbnQudGV4dF90b19pbWFnZSglMEElMDklMjJBc3Ryb25hdXQlMjByaWRpbmclMjBhJTIwaG9yc2UlMjIlMkMlMEElMDltb2RlbCUzRCUyMmJsYWNrLWZvcmVzdC1sYWJzJTJGRkxVWC4xLWRldiUyMiUwQSk=",highlighted:`<span class="hljs-keyword">from</span> huggingface_hub <span class="hljs-keyword">import</span> InferenceClient

client = InferenceClient(
	provider=<span class="hljs-string">&quot;hf-inference&quot;</span>,
	api_key=<span class="hljs-string">&quot;hf_***&quot;</span>
)

<span class="hljs-comment"># output is a PIL.Image object</span>
image = client.text_to_image(
	<span class="hljs-string">&quot;Astronaut riding a horse&quot;</span>,
	model=<span class="hljs-string">&quot;black-forest-labs/FLUX.1-dev&quot;</span>
)`,wrap:!1}}),u=new N({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> requests

API_URL = <span class="hljs-string">&quot;https://router.huggingface.co/hf-inference/v1&quot;</span>
headers = {<span class="hljs-string">&quot;Authorization&quot;</span>: <span class="hljs-string">&quot;Bearer hf_***&quot;</span>}

<span class="hljs-keyword">def</span> <span class="hljs-title function_">query</span>(<span class="hljs-params">payload</span>):
	response = requests.post(API_URL, headers=headers, json=payload)
	<span class="hljs-keyword">return</span> response.content

image_bytes = query({
	<span class="hljs-string">&quot;inputs&quot;</span>: <span class="hljs-string">&quot;Astronaut riding a horse&quot;</span>,
})

<span class="hljs-comment"># You can access the image with PIL.Image for example</span>
<span class="hljs-keyword">import</span> io
<span class="hljs-keyword">from</span> PIL <span class="hljs-keyword">import</span> Image
image = Image.<span class="hljs-built_in">open</span>(io.BytesIO(image_bytes))`,wrap:!1}}),{c(){t=M("p"),t.innerHTML=o,s=p(),J(r.$$.fragment),d=p(),f=M("p"),f.innerHTML=Z,B=p(),J(u.$$.fragment),g=p(),h=M("p"),h.innerHTML=_},l(l){t=y(l,"P",{"data-svelte-h":!0}),j(t)!=="svelte-chb6bp"&&(t.innerHTML=o),s=c(l),w(r.$$.fragment,l),d=c(l),f=y(l,"P",{"data-svelte-h":!0}),j(f)!=="svelte-1v1c44h"&&(f.innerHTML=Z),B=c(l),w(u.$$.fragment,l),g=c(l),h=y(l,"P",{"data-svelte-h":!0}),j(h)!=="svelte-1avw593"&&(h.innerHTML=_)},m(l,m){i(l,t,m),i(l,s,m),T(r,l,m),i(l,d,m),i(l,f,m),i(l,B,m),T(u,l,m),i(l,g,m),i(l,h,m),I=!0},p:ie,i(l){I||($(r.$$.fragment,l),$(u.$$.fragment,l),I=!0)},o(l){U(r.$$.fragment,l),U(u.$$.fragment,l),I=!1},d(l){l&&(n(t),n(s),n(d),n(f),n(B),n(g),n(h)),b(r,l),b(u,l)}}}function _e(k){let t,o;return t=new re({props:{$$slots:{default:[Ze]},$$scope:{ctx:k}}}),{c(){J(t.$$.fragment)},l(s){w(t.$$.fragment,s)},m(s,r){T(t,s,r),o=!0},p(s,r){const d={};r&2&&(d.$$scope={dirty:r,ctx:s}),t.$set(d)},i(s){o||($(t.$$.fragment,s),o=!0)},o(s){U(t.$$.fragment,s),o=!1},d(s){b(t,s)}}}function Be(k){let t,o="Using <code>huggingface.js</code>:",s,r,d,f,Z="Using <code>fetch</code>:",B,u,g,h,_='To use the JavaScript client, see <code>huggingface.js</code>’s <a href="https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#texttoimage" rel="nofollow">package reference</a>.',I;return r=new N({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> { <span class="hljs-title class_">HfInference</span> } <span class="hljs-keyword">from</span> <span class="hljs-string">&quot;@huggingface/inference&quot;</span>;

<span class="hljs-keyword">const</span> client = <span class="hljs-keyword">new</span> <span class="hljs-title class_">HfInference</span>(<span class="hljs-string">&quot;hf_***&quot;</span>);

<span class="hljs-keyword">const</span> image = <span class="hljs-keyword">await</span> client.<span class="hljs-title function_">textToImage</span>({
	<span class="hljs-attr">model</span>: <span class="hljs-string">&quot;black-forest-labs/FLUX.1-dev&quot;</span>,
	<span class="hljs-attr">inputs</span>: <span class="hljs-string">&quot;Astronaut riding a horse&quot;</span>,
	<span class="hljs-attr">parameters</span>: { <span class="hljs-attr">num_inference_steps</span>: <span class="hljs-number">5</span> },
	<span class="hljs-attr">provider</span>: <span class="hljs-string">&quot;hf-inference&quot;</span>,
});
<span class="hljs-comment">/// Use the generated image (it&#x27;s a Blob)</span>
`,wrap:!1}}),u=new N({props:{code:"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",highlighted:`<span class="hljs-keyword">async</span> <span class="hljs-keyword">function</span> <span class="hljs-title function_">query</span>(<span class="hljs-params">data</span>) {
	<span class="hljs-keyword">const</span> response = <span class="hljs-keyword">await</span> <span class="hljs-title function_">fetch</span>(
		<span class="hljs-string">&quot;https://router.huggingface.co/hf-inference/models/black-forest-labs/FLUX.1-dev&quot;</span>,
		{
			<span class="hljs-attr">headers</span>: {
				<span class="hljs-title class_">Authorization</span>: <span class="hljs-string">&quot;Bearer hf_***&quot;</span>,
				<span class="hljs-string">&quot;Content-Type&quot;</span>: <span class="hljs-string">&quot;application/json&quot;</span>,
			},
			<span class="hljs-attr">method</span>: <span class="hljs-string">&quot;POST&quot;</span>,
			<span class="hljs-attr">body</span>: <span class="hljs-title class_">JSON</span>.<span class="hljs-title function_">stringify</span>(data),
		}
	);
	<span class="hljs-keyword">const</span> result = <span class="hljs-keyword">await</span> response.<span class="hljs-title function_">blob</span>();
	<span class="hljs-keyword">return</span> result;
}
<span class="hljs-title function_">query</span>({<span class="hljs-string">&quot;inputs&quot;</span>: <span class="hljs-string">&quot;Astronaut riding a horse&quot;</span>}).<span class="hljs-title function_">then</span>(<span class="hljs-function">(<span class="hljs-params">response</span>) =&gt;</span> {
	<span class="hljs-comment">// Use image</span>
});`,wrap:!1}}),{c(){t=M("p"),t.innerHTML=o,s=p(),J(r.$$.fragment),d=p(),f=M("p"),f.innerHTML=Z,B=p(),J(u.$$.fragment),g=p(),h=M("p"),h.innerHTML=_},l(l){t=y(l,"P",{"data-svelte-h":!0}),j(t)!=="svelte-1g5hu6q"&&(t.innerHTML=o),s=c(l),w(r.$$.fragment,l),d=c(l),f=y(l,"P",{"data-svelte-h":!0}),j(f)!=="svelte-wea1gb"&&(f.innerHTML=Z),B=c(l),w(u.$$.fragment,l),g=c(l),h=y(l,"P",{"data-svelte-h":!0}),j(h)!=="svelte-1sp4u1c"&&(h.innerHTML=_)},m(l,m){i(l,t,m),i(l,s,m),T(r,l,m),i(l,d,m),i(l,f,m),i(l,B,m),T(u,l,m),i(l,g,m),i(l,h,m),I=!0},p:ie,i(l){I||($(r.$$.fragment,l),$(u.$$.fragment,l),I=!0)},o(l){U(r.$$.fragment,l),U(u.$$.fragment,l),I=!1},d(l){l&&(n(t),n(s),n(d),n(f),n(B),n(g),n(h)),b(r,l),b(u,l)}}}function ve(k){let t,o;return t=new re({props:{$$slots:{default:[Be]},$$scope:{ctx:k}}}),{c(){J(t.$$.fragment)},l(s){w(t.$$.fragment,s)},m(s,r){T(t,s,r),o=!0},p(s,r){const d={};r&2&&(d.$$scope={dirty:r,ctx:s}),t.$set(d)},i(s){o||($(t.$$.fragment,s),o=!0)},o(s){U(t.$$.fragment,s),o=!1},d(s){b(t,s)}}}function Ce(k){let t,o;return t=new N({props:{code:"Y3VybCUyMGh0dHBzJTNBJTJGJTJGcm91dGVyLmh1Z2dpbmdmYWNlLmNvJTJGaGYtaW5mZXJlbmNlJTJGbW9kZWxzJTJGYmxhY2stZm9yZXN0LWxhYnMlMkZGTFVYLjEtZGV2JTIwJTVDJTBBJTA5LVglMjBQT1NUJTIwJTVDJTBBJTA5LWQlMjAnJTdCJTIyaW5wdXRzJTIyJTNBJTIwJTIyQXN0cm9uYXV0JTIwcmlkaW5nJTIwYSUyMGhvcnNlJTIyJTdEJyUyMCU1QyUwQSUwOS1IJTIwJ0NvbnRlbnQtVHlwZSUzQSUyMGFwcGxpY2F0aW9uJTJGanNvbiclMjAlNUMlMEElMDktSCUyMCdBdXRob3JpemF0aW9uJTNBJTIwQmVhcmVyJTIwaGZfKioqJw==",highlighted:`curl https://router.huggingface.co/hf-inference/models/black-forest-labs/FLUX.1-dev \\
	-X POST \\
	-d <span class="hljs-string">&#x27;{&quot;inputs&quot;: &quot;Astronaut riding a horse&quot;}&#x27;</span> \\
	-H <span class="hljs-string">&#x27;Content-Type: application/json&#x27;</span> \\
	-H <span class="hljs-string">&#x27;Authorization: Bearer hf_***&#x27;</span>`,wrap:!1}}),{c(){J(t.$$.fragment)},l(s){w(t.$$.fragment,s)},m(s,r){T(t,s,r),o=!0},p:ie,i(s){o||($(t.$$.fragment,s),o=!0)},o(s){U(t.$$.fragment,s),o=!1},d(s){b(t,s)}}}function We(k){let t,o;return t=new re({props:{$$slots:{default:[Ce]},$$scope:{ctx:k}}}),{c(){J(t.$$.fragment)},l(s){w(t.$$.fragment,s)},m(s,r){T(t,s,r),o=!0},p(s,r){const d={};r&2&&(d.$$scope={dirty:r,ctx:s}),t.$set(d)},i(s){o||($(t.$$.fragment,s),o=!0)},o(s){U(t.$$.fragment,s),o=!1},d(s){b(t,s)}}}function Ee(k){let t,o,s,r,d,f,Z,B="Generate an image based on a given text prompt.",u,g,h,_,I,l,m='<li><a href="https://huggingface.co/black-forest-labs/FLUX.1-dev" rel="nofollow">black-forest-labs/FLUX.1-dev</a>: One of the most powerful image generation models that can generate realistic outputs.</li> <li><a href="https://huggingface.co/Kwai-Kolors/Kolors" rel="nofollow">Kwai-Kolors/Kolors</a>: Text-to-image model for photorealistic generation.</li> <li><a href="https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers" rel="nofollow">stabilityai/stable-diffusion-3-medium-diffusers</a>: A powerful text-to-image model.</li>',A,C,oe='Explore all available models and find the one that suits you best <a href="https://huggingface.co/models?inference=warm&amp;pipeline_tag=text-to-image&amp;sort=trending" rel="nofollow">here</a>.',R,W,z,v,F,E,P,V,D,Q,pe='<thead><tr><th align="left">Payload</th> <th align="left"></th> <th align="left"></th></tr></thead> <tbody><tr><td align="left"><strong>inputs*</strong></td> <td align="left"><em>string</em></td> <td align="left">The input text data (sometimes called “prompt”)</td></tr> <tr><td align="left"><strong>parameters</strong></td> <td align="left"><em>object</em></td> <td align="left"></td></tr> <tr><td align="left"><strong>        guidance_scale</strong></td> <td align="left"><em>number</em></td> <td align="left">A higher guidance scale value encourages the model to generate images closely linked to the text prompt, but values too high may cause saturation and other artifacts.</td></tr> <tr><td align="left"><strong>        negative_prompt</strong></td> <td align="left"><em>string</em></td> <td align="left">One prompt to guide what NOT to include in image generation.</td></tr> <tr><td align="left"><strong>        num_inference_steps</strong></td> <td align="left"><em>integer</em></td> <td align="left">The number of denoising steps. More denoising steps usually lead to a higher quality image at the expense of slower inference.</td></tr> <tr><td align="left"><strong>        width</strong></td> <td align="left"><em>integer</em></td> <td align="left">The width in pixels of the output image</td></tr> <tr><td align="left"><strong>        height</strong></td> <td align="left"><em>integer</em></td> <td align="left">The height in pixels of the output image</td></tr> <tr><td align="left"><strong>        scheduler</strong></td> <td align="left"><em>string</em></td> <td align="left">Override the scheduler with a compatible one.</td></tr> <tr><td align="left"><strong>        seed</strong></td> <td align="left"><em>integer</em></td> <td align="left">Seed for the random number generator.</td></tr></tbody>',O,q,ce="Some options can be configured by passing headers to the Inference API. Here are the available headers:",K,G,de='<thead><tr><th align="left">Headers</th> <th align="left"></th> <th align="left"></th></tr></thead> <tbody><tr><td align="left"><strong>authorization</strong></td> <td align="left"><em>string</em></td> <td align="left">Authentication header in the form <code>&#39;Bearer: hf_****&#39;</code> when <code>hf_****</code> is a personal user access token with Inference API permission. You can generate one from <a href="https://huggingface.co/settings/tokens" rel="nofollow">your settings page</a>.</td></tr> <tr><td align="left"><strong>x-use-cache</strong></td> <td align="left"><em>boolean, default to <code>true</code></em></td> <td align="left">There is a cache layer on the inference API to speed up requests we have already seen. Most models can use those results as they are deterministic (meaning the outputs will be the same anyway). However, if you use a nondeterministic model, you can set this parameter to prevent the caching mechanism from being used, resulting in a real new query. Read more about caching <a href="../parameters#caching%5D">here</a>.</td></tr> <tr><td align="left"><strong>x-wait-for-model</strong></td> <td align="left"><em>boolean, default to <code>false</code></em></td> <td align="left">If the model is not ready, wait for it instead of receiving 503. It limits the number of requests required to get your inference done. It is advised to only set this flag to true after receiving a 503 error, as it will limit hanging in your application to known places. Read more about model availability <a href="../overview#eligibility%5D">here</a>.</td></tr></tbody>',ee,S,me='For more information about Inference API headers, check out the parameters <a href="../parameters">guide</a>.',te,x,se,H,fe='<thead><tr><th align="left">Body</th> <th align="left"></th> <th align="left"></th></tr></thead> <tbody><tr><td align="left"><strong>image</strong></td> <td align="left"><em>unknown</em></td> <td align="left">The generated image returned as raw bytes in the payload.</td></tr></tbody>',le,X,ne,L,ae;return d=new Y({props:{title:"Text to Image",local:"text-to-image",headingTag:"h2"}}),g=new be({props:{$$slots:{default:[Ie]},$$scope:{ctx:k}}}),_=new Y({props:{title:"Recommended models",local:"recommended-models",headingTag:"h3"}}),W=new Y({props:{title:"Using the API",local:"using-the-api",headingTag:"h3"}}),v=new je({props:{python:!0,js:!0,curl:!0,$$slots:{curl:[We],js:[ve],python:[_e]},$$scope:{ctx:k}}}),E=new Y({props:{title:"API specification",local:"api-specification",headingTag:"h3"}}),V=new Y({props:{title:"Request",local:"request",headingTag:"h4"}}),x=new Y({props:{title:"Response",local:"response",headingTag:"h4"}}),X=new ke({props:{source:"https://github.com/huggingface/hub-docs/blob/main/docs/inference-providers/tasks/text-to-image.md"}}),{c(){t=M("meta"),o=p(),s=M("p"),r=p(),J(d.$$.fragment),f=p(),Z=M("p"),Z.textContent=B,u=p(),J(g.$$.fragment),h=p(),J(_.$$.fragment),I=p(),l=M("ul"),l.innerHTML=m,A=p(),C=M("p"),C.innerHTML=oe,R=p(),J(W.$$.fragment),z=p(),J(v.$$.fragment),F=p(),J(E.$$.fragment),P=p(),J(V.$$.fragment),D=p(),Q=M("table"),Q.innerHTML=pe,O=p(),q=M("p"),q.textContent=ce,K=p(),G=M("table"),G.innerHTML=de,ee=p(),S=M("p"),S.innerHTML=me,te=p(),J(x.$$.fragment),se=p(),H=M("table"),H.innerHTML=fe,le=p(),J(X.$$.fragment),ne=p(),L=M("p"),this.h()},l(e){const a=$e("svelte-u9bgzb",document.head);t=y(a,"META",{name:!0,content:!0}),a.forEach(n),o=c(e),s=y(e,"P",{}),ge(s).forEach(n),r=c(e),w(d.$$.fragment,e),f=c(e),Z=y(e,"P",{"data-svelte-h":!0}),j(Z)!=="svelte-fdpn5i"&&(Z.textContent=B),u=c(e),w(g.$$.fragment,e),h=c(e),w(_.$$.fragment,e),I=c(e),l=y(e,"UL",{"data-svelte-h":!0}),j(l)!=="svelte-1cq9l60"&&(l.innerHTML=m),A=c(e),C=y(e,"P",{"data-svelte-h":!0}),j(C)!=="svelte-1v39ddi"&&(C.innerHTML=oe),R=c(e),w(W.$$.fragment,e),z=c(e),w(v.$$.fragment,e),F=c(e),w(E.$$.fragment,e),P=c(e),w(V.$$.fragment,e),D=c(e),Q=y(e,"TABLE",{"data-svelte-h":!0}),j(Q)!=="svelte-ecyb0h"&&(Q.innerHTML=pe),O=c(e),q=y(e,"P",{"data-svelte-h":!0}),j(q)!=="svelte-xa4wks"&&(q.textContent=ce),K=c(e),G=y(e,"TABLE",{"data-svelte-h":!0}),j(G)!=="svelte-2rfiu7"&&(G.innerHTML=de),ee=c(e),S=y(e,"P",{"data-svelte-h":!0}),j(S)!=="svelte-1ps9cb1"&&(S.innerHTML=me),te=c(e),w(x.$$.fragment,e),se=c(e),H=y(e,"TABLE",{"data-svelte-h":!0}),j(H)!=="svelte-a0pjp6"&&(H.innerHTML=fe),le=c(e),w(X.$$.fragment,e),ne=c(e),L=y(e,"P",{}),ge(L).forEach(n),this.h()},h(){Me(t,"name","hf:doc:metadata"),Me(t,"content",Ve)},m(e,a){Ue(document.head,t),i(e,o,a),i(e,s,a),i(e,r,a),T(d,e,a),i(e,f,a),i(e,Z,a),i(e,u,a),T(g,e,a),i(e,h,a),T(_,e,a),i(e,I,a),i(e,l,a),i(e,A,a),i(e,C,a),i(e,R,a),T(W,e,a),i(e,z,a),T(v,e,a),i(e,F,a),T(E,e,a),i(e,P,a),T(V,e,a),i(e,D,a),i(e,Q,a),i(e,O,a),i(e,q,a),i(e,K,a),i(e,G,a),i(e,ee,a),i(e,S,a),i(e,te,a),T(x,e,a),i(e,se,a),i(e,H,a),i(e,le,a),T(X,e,a),i(e,ne,a),i(e,L,a),ae=!0},p(e,[a]){const ue={};a&2&&(ue.$$scope={dirty:a,ctx:e}),g.$set(ue);const he={};a&2&&(he.$$scope={dirty:a,ctx:e}),v.$set(he)},i(e){ae||($(d.$$.fragment,e),$(g.$$.fragment,e),$(_.$$.fragment,e),$(W.$$.fragment,e),$(v.$$.fragment,e),$(E.$$.fragment,e),$(V.$$.fragment,e),$(x.$$.fragment,e),$(X.$$.fragment,e),ae=!0)},o(e){U(d.$$.fragment,e),U(g.$$.fragment,e),U(_.$$.fragment,e),U(W.$$.fragment,e),U(v.$$.fragment,e),U(E.$$.fragment,e),U(V.$$.fragment,e),U(x.$$.fragment,e),U(X.$$.fragment,e),ae=!1},d(e){e&&(n(o),n(s),n(r),n(f),n(Z),n(u),n(h),n(I),n(l),n(A),n(C),n(R),n(z),n(F),n(P),n(D),n(Q),n(O),n(q),n(K),n(G),n(ee),n(S),n(te),n(se),n(H),n(le),n(ne),n(L)),n(t),b(d,e),b(g,e),b(_,e),b(W,e),b(v,e),b(E,e),b(V,e),b(x,e),b(X,e)}}}const Ve='{"title":"Text to Image","local":"text-to-image","sections":[{"title":"Recommended models","local":"recommended-models","sections":[],"depth":3},{"title":"Using the API","local":"using-the-api","sections":[],"depth":3},{"title":"API specification","local":"api-specification","sections":[{"title":"Request","local":"request","sections":[],"depth":4},{"title":"Response","local":"response","sections":[],"depth":4}],"depth":3}],"depth":2}';function Qe(k){return Je(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class Ye extends we{constructor(t){super(),Te(this,t,Qe,Ee,ye,{})}}export{Ye as component};