<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Google Colaboratory on kenji.blog</title><link>http://kenji.blog/hi/tags/google-colaboratory/</link><description>Recent content in Google Colaboratory on kenji.blog</description><generator>Hugo -- gohugo.io</generator><language>hi</language><copyright>kenjinote</copyright><lastBuildDate>Sun, 09 Apr 2023 01:02:19 +0900</lastBuildDate><atom:link href="http://kenji.blog/hi/tags/google-colaboratory/index.xml" rel="self" type="application/rss+xml"/><item><title>Python (matplotlib.pyplot) का उपयोग करके ग्राफ़ कैसे बनाएं</title><link>http://kenji.blog/hi/p/python-matplotlib.pyplot-%E0%A4%95%E0%A4%BE-%E0%A4%89%E0%A4%AA%E0%A4%AF%E0%A5%8B%E0%A4%97-%E0%A4%95%E0%A4%B0%E0%A4%95%E0%A5%87-%E0%A4%97%E0%A5%8D%E0%A4%B0%E0%A4%BE%E0%A4%AB%E0%A4%BC-%E0%A4%95%E0%A5%88%E0%A4%B8%E0%A5%87-%E0%A4%AC%E0%A4%A8%E0%A4%BE%E0%A4%8F%E0%A4%82/</link><pubDate>Sun, 09 Apr 2023 01:02:19 +0900</pubDate><guid>http://kenji.blog/hi/p/python-matplotlib.pyplot-%E0%A4%95%E0%A4%BE-%E0%A4%89%E0%A4%AA%E0%A4%AF%E0%A5%8B%E0%A4%97-%E0%A4%95%E0%A4%B0%E0%A4%95%E0%A5%87-%E0%A4%97%E0%A5%8D%E0%A4%B0%E0%A4%BE%E0%A4%AB%E0%A4%BC-%E0%A4%95%E0%A5%88%E0%A4%B8%E0%A5%87-%E0%A4%AC%E0%A4%A8%E0%A4%BE%E0%A4%8F%E0%A4%82/</guid><description>&lt;img src="http://kenji.blog/p/pythonmatplotlib.pyplot%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%B0%E3%83%A9%E3%83%95%E3%82%92%E6%8F%8F%E7%94%BB%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img.png" alt="Featured image of post Python (matplotlib.pyplot) का उपयोग करके ग्राफ़ कैसे बनाएं" />&lt;p>&lt;img src="http://kenji.blog/p/pythonmatplotlib.pyplot%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%B0%E3%83%A9%E3%83%95%E3%82%92%E6%8F%8F%E7%94%BB%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_1.png"
width="1200"
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srcset="http://kenji.blog/p/pythonmatplotlib.pyplot%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%B0%E3%83%A9%E3%83%95%E3%82%92%E6%8F%8F%E7%94%BB%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_1_hue3f23818eeeec9c43d6452cc0f61fb52_43864_480x0_resize_box_3.png 480w, http://kenji.blog/p/pythonmatplotlib.pyplot%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%B0%E3%83%A9%E3%83%95%E3%82%92%E6%8F%8F%E7%94%BB%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_1_hue3f23818eeeec9c43d6452cc0f61fb52_43864_1024x0_resize_box_3.png 1024w"
loading="lazy"
alt="img_1.png"
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>&lt;/p>
&lt;h1 id="आपक-कय-चहए">आपको क्या चाहिए
&lt;/h1>&lt;ul>
&lt;li>Google खाता&lt;/li>
&lt;/ul>
&lt;h1 id="चरण">चरण
&lt;/h1>&lt;ol>
&lt;li>&lt;a class="link" href="https://colab.research.google.com/" target="_blank" rel="noopener"
>https://colab.research.google.com/&lt;/a> पर जाएं&lt;/li>
&lt;li>&amp;ldquo;फ़ाइल&amp;rdquo; -&amp;gt; &amp;ldquo;नई नोटबुक&amp;rdquo; चुनें&lt;/li>
&lt;li>नीचे दिए गए कोड को पेस्ट करें और चलाएं&lt;/li>
&lt;/ol>
&lt;div class="highlight">&lt;div class="chroma">
&lt;table class="lntable">&lt;tr>&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code>&lt;span class="lnt">1
&lt;/span>&lt;span class="lnt">2
&lt;/span>&lt;span class="lnt">3
&lt;/span>&lt;span class="lnt">4
&lt;/span>&lt;span class="lnt">5
&lt;/span>&lt;span class="lnt">6
&lt;/span>&lt;span class="lnt">7
&lt;/span>&lt;/code>&lt;/pre>&lt;/td>
&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code class="language-python" data-lang="python">&lt;span class="line">&lt;span class="cl">&lt;span class="kn">import&lt;/span> &lt;span class="nn">matplotlib.pyplot&lt;/span> &lt;span class="k">as&lt;/span> &lt;span class="nn">plt&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">&lt;span class="kn">import&lt;/span> &lt;span class="nn">numpy&lt;/span> &lt;span class="k">as&lt;/span> &lt;span class="nn">np&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">&lt;span class="n">x&lt;/span> &lt;span class="o">=&lt;/span> &lt;span class="n">np&lt;/span>&lt;span class="o">.&lt;/span>&lt;span class="n">linspace&lt;/span>&lt;span class="p">(&lt;/span>&lt;span class="mi">0&lt;/span>&lt;span class="p">,&lt;/span> &lt;span class="mi">2&lt;/span>&lt;span class="o">*&lt;/span>&lt;span class="n">np&lt;/span>&lt;span class="o">.&lt;/span>&lt;span class="n">pi&lt;/span>&lt;span class="p">,&lt;/span> &lt;span class="mi">500&lt;/span>&lt;span class="p">)&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">&lt;span class="n">plt&lt;/span>&lt;span class="o">.&lt;/span>&lt;span class="n">plot&lt;/span>&lt;span class="p">(&lt;/span>&lt;span class="n">x&lt;/span>&lt;span class="p">,&lt;/span> &lt;span class="n">np&lt;/span>&lt;span class="o">.&lt;/span>&lt;span class="n">sin&lt;/span>&lt;span class="p">(&lt;/span>&lt;span class="n">x&lt;/span>&lt;span class="p">),&lt;/span> &lt;span class="n">label&lt;/span>&lt;span class="o">=&lt;/span>&lt;span class="s2">&amp;#34;sin curve&amp;#34;&lt;/span>&lt;span class="p">)&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">&lt;span class="n">plt&lt;/span>&lt;span class="o">.&lt;/span>&lt;span class="n">plot&lt;/span>&lt;span class="p">(&lt;/span>&lt;span class="n">x&lt;/span>&lt;span class="p">,&lt;/span> &lt;span class="n">np&lt;/span>&lt;span class="o">.&lt;/span>&lt;span class="n">cos&lt;/span>&lt;span class="p">(&lt;/span>&lt;span class="n">x&lt;/span>&lt;span class="p">),&lt;/span> &lt;span class="n">label&lt;/span>&lt;span class="o">=&lt;/span>&lt;span class="s2">&amp;#34;cos curve&amp;#34;&lt;/span>&lt;span class="p">)&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">&lt;span class="n">plt&lt;/span>&lt;span class="o">.&lt;/span>&lt;span class="n">legend&lt;/span>&lt;span class="p">()&lt;/span> &lt;span class="c1"># लीजेंड दिखाएं&lt;/span>
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">&lt;span class="n">plt&lt;/span>&lt;span class="o">.&lt;/span>&lt;span class="n">show&lt;/span>&lt;span class="p">()&lt;/span>
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/td>&lt;/tr>&lt;/table>
&lt;/div>
&lt;/div>&lt;h1 id="नषपदन-परणम">निष्पादन परिणाम
&lt;/h1>&lt;p>&lt;img src="http://kenji.blog/p/pythonmatplotlib.pyplot%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%B0%E3%83%A9%E3%83%95%E3%82%92%E6%8F%8F%E7%94%BB%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img.png"
width="568"
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srcset="http://kenji.blog/p/pythonmatplotlib.pyplot%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%B0%E3%83%A9%E3%83%95%E3%82%92%E6%8F%8F%E7%94%BB%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_hucdb24ab588d845f9f7a56ef99be2c709_27745_480x0_resize_box_3.png 480w, http://kenji.blog/p/pythonmatplotlib.pyplot%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%B0%E3%83%A9%E3%83%95%E3%82%92%E6%8F%8F%E7%94%BB%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_hucdb24ab588d845f9f7a56ef99be2c709_27745_1024x0_resize_box_3.png 1024w"
loading="lazy"
alt="img.png"
class="gallery-image"
data-flex-grow="137"
data-flex-basis="330px"
>&lt;/p>
&lt;h1 id="सदरभ">संदर्भ
&lt;/h1>&lt;ul>
&lt;li>&lt;a class="link" href="https://matplotlib.org/3.5.3/api/_as_gen/matplotlib.pyplot.html" target="_blank" rel="noopener"
>matplotlib.pyplot — Matplotlib 3.5.3 documentation&lt;/a>&lt;/li>
&lt;/ul></description></item><item><title>Twitter API और Google Colaboratory का उपयोग करके ट्वीट कैसे करें</title><link>http://kenji.blog/hi/p/how-to-tweet-using-twitter-api-and-google-colaboratory-hi/</link><pubDate>Sat, 08 Apr 2023 18:48:32 +0900</pubDate><guid>http://kenji.blog/hi/p/how-to-tweet-using-twitter-api-and-google-colaboratory-hi/</guid><description>&lt;img src="http://kenji.blog/p/twitter-api%E3%81%A8google-colaboratory%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6tweet%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img.png" alt="Featured image of post Twitter API और Google Colaboratory का उपयोग करके ट्वीट कैसे करें" />&lt;h1 id="कय-चहए">क्या चाहिए
&lt;/h1>&lt;ul>
&lt;li>Twitter API&lt;/li>
&lt;li>Twitter API SECRET&lt;/li>
&lt;li>Twitter ACCESS TOKEN&lt;/li>
&lt;li>Twitter ACCESS TOKEN SECRET&lt;/li>
&lt;li>Google अकाउंट&lt;/li>
&lt;/ul>
&lt;p>Twitter API कैसे प्राप्त करें, इसके लिए संदर्भ साइट देखें।&lt;/p>
&lt;h1 id="api-क-उपयग-करक-टवट-करन-क-चरण">API का उपयोग करके ट्वीट करने के चरण
&lt;/h1>&lt;ol>
&lt;li>&lt;a class="link" href="https://colab.research.google.com/" target="_blank" rel="noopener"
>https://colab.research.google.com/&lt;/a> पर जाएं&lt;/li>
&lt;li>&amp;ldquo;फ़ाइल&amp;rdquo; -&amp;gt; &amp;ldquo;नई नोटबुक&amp;rdquo; चुनें&lt;/li>
&lt;li>नीचे दिया गया कोड पेस्ट करें और चलाएं (कृपया अपने द्वारा प्राप्त वास्तविक मानों का उपयोग करें)&lt;/li>
&lt;/ol>
&lt;div class="highlight">&lt;div class="chroma">
&lt;table class="lntable">&lt;tr>&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code>&lt;span class="lnt">1
&lt;/span>&lt;span class="lnt">2
&lt;/span>&lt;span class="lnt">3
&lt;/span>&lt;span class="lnt">4
&lt;/span>&lt;/code>&lt;/pre>&lt;/td>
&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code class="language-fallback" data-lang="fallback">&lt;span class="line">&lt;span class="cl">API_KEY = &amp;#39;9Smu2f2RoLqbVQHQq6n79Z2JW&amp;#39;
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">API_SECRET = &amp;#39;uGVRIkLL2l8sRyPv2Lr4mXxXppnQF1isMoRnvktcXCtFgAK2R8&amp;#39;
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">ACCESS_TOKEN = &amp;#39;0367292979164670705-7hSErDoQbO6fkFtnn5UY0vqpvecy0O&amp;#39;
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">ACCESS_TOKEN_SECRET = &amp;#39;pUv81U9GVzZirz5g4AxZPHAJ4GpSXnBo8GUcZ1egtjw9q&amp;#39;
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/td>&lt;/tr>&lt;/table>
&lt;/div>
&lt;/div>&lt;ol start="3">
&lt;li>नीचे दिया गया कोड पेस्ट करें और चलाएं&lt;/li>
&lt;/ol>
&lt;div class="highlight">&lt;div class="chroma">
&lt;table class="lntable">&lt;tr>&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code>&lt;span class="lnt">1
&lt;/span>&lt;/code>&lt;/pre>&lt;/td>
&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code class="language-fallback" data-lang="fallback">&lt;span class="line">&lt;span class="cl">import tweepy
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/td>&lt;/tr>&lt;/table>
&lt;/div>
&lt;/div>&lt;ol start="4">
&lt;li>नीचे दिया गया कोड पेस्ट करें और चलाएं (API v1.1)&lt;/li>
&lt;/ol>
&lt;div class="highlight">&lt;div class="chroma">
&lt;table class="lntable">&lt;tr>&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code>&lt;span class="lnt">1
&lt;/span>&lt;span class="lnt">2
&lt;/span>&lt;span class="lnt">3
&lt;/span>&lt;span class="lnt">4
&lt;/span>&lt;/code>&lt;/pre>&lt;/td>
&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code class="language-fallback" data-lang="fallback">&lt;span class="line">&lt;span class="cl">auth = tweepy.OAuthHandler(API_KEY, API_SECRET)
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">api = tweepy.API(auth)
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">api.update_status(&amp;#34;hello&amp;#34;)
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/td>&lt;/tr>&lt;/table>
&lt;/div>
&lt;/div>&lt;p>→ &lt;code>hello&lt;/code> कहने वाला एक ट्वीट पोस्ट किया जाएगा&lt;/p>
&lt;ol start="5">
&lt;li>नीचे दिया गया कोड पेस्ट करें और चलाएं (API v2.0)&lt;/li>
&lt;/ol>
&lt;div class="highlight">&lt;div class="chroma">
&lt;table class="lntable">&lt;tr>&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code>&lt;span class="lnt">1
&lt;/span>&lt;span class="lnt">2
&lt;/span>&lt;/code>&lt;/pre>&lt;/td>
&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code class="language-fallback" data-lang="fallback">&lt;span class="line">&lt;span class="cl">client = tweepy.Client(consumer_key=API_KEY, consumer_secret=API_SECRET, access_token=ACCESS_TOKEN, access_token_secret=ACCESS_TOKEN_SECRET)
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">client.create_tweet(text=&amp;#39;hello v2&amp;#39;)
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/td>&lt;/tr>&lt;/table>
&lt;/div>
&lt;/div>&lt;p>→ &lt;code>hello v2&lt;/code> कहने वाला एक ट्वीट पोस्ट किया जाएगा&lt;/p>
&lt;p>बस इतना ही&lt;/p>
&lt;h1 id="सदरभ">संदर्भ
&lt;/h1>&lt;ul>
&lt;li>&lt;a class="link" href="https://bloomtectec.com/twitter-api-application-procedure/" target="_blank" rel="noopener"
>【अप्रैल 2021 तक】उपयोग उदाहरणों और स्क्रीनशॉट के साथ Twitter API उपयोग एप्लिकेशन की विस्तृत व्याख्या&lt;/a>&lt;/li>
&lt;li>&lt;a class="link" href="https://bloomtectec.com/use-twitter-api-in-google-colab/" target="_blank" rel="noopener"
>【जटिल सेटिंग्स की कोई आवश्यकता नहीं!】Twitter API परीक्षण वातावरण के लिए Google Colaboratory की अनुशंसा की जाती है 【स्रोत कोड भी साझा किया गया है】&lt;/a>&lt;/li>
&lt;li>&lt;a class="link" href="https://3pysci.com/tweepy-28/" target="_blank" rel="noopener"
>【Tweepy】Twitter API v2: ट्वीट, रिप्लाई, पोल वाले ट्वीट, मीडिया वाले ट्वीट (v1.1) [Python]&lt;/a>&lt;/li>
&lt;/ul></description></item><item><title>AI (Stable Diffusion) का उपयोग करके इलस्ट्रेशन इमेजेज कैसे जनरेट करें</title><link>http://kenji.blog/hi/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/</link><pubDate>Thu, 06 Apr 2023 00:43:19 +0900</pubDate><guid>http://kenji.blog/hi/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/</guid><description>&lt;img src="http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img.png" alt="Featured image of post AI (Stable Diffusion) का उपयोग करके इलस्ट्रेशन इमेजेज कैसे जनरेट करें" />&lt;h1 id="stable-diffusion-कय-ह">Stable diffusion क्या है
&lt;/h1>&lt;p>Stable diffusion म्यूनिख विश्वविद्यालय, जर्मनी की एक शोध टीम द्वारा विकसित एक AI है, जो इनपुट टेक्स्ट जानकारी से इमेजेज जनरेट करता है।
विभिन्न इमेजेज पर ट्रेनिंग देकर, यह वास्तविक तस्वीरों से लेकर इलस्ट्रेशन्स तक विभिन्न प्रकार की इमेजेज जनरेट कर सकता है।&lt;/p>
&lt;p>इस बार, मैं पेश करूंगा कि Stable diffusion के प्री-ट्रेंड डेटा का उपयोग करके इलस्ट्रेशन इमेजेज कैसे जनरेट करें।&lt;/p>
&lt;h1 id="आपक-कय-चहए">आपको क्या चाहिए
&lt;/h1>&lt;ul>
&lt;li>Google अकाउंट&lt;/li>
&lt;/ul>
&lt;p>केवल यही&lt;/p>
&lt;h1 id="जनरशन-परकरय">जनरेशन प्रक्रिया
&lt;/h1>&lt;ol>
&lt;li>&lt;a class="link" href="https://colab.research.google.com" target="_blank" rel="noopener"
>https://colab.research.google.com&lt;/a> खोलें&lt;/li>
&lt;li>ऊपर बाईं ओर &lt;code>फ़ाइल&lt;/code> से &lt;code>नई नोटबुक&lt;/code> चुनें&lt;/li>
&lt;li>&lt;code>संपादित करें&lt;/code> से &lt;code>नोटबुक सेटिंग&lt;/code> चुनें&lt;/li>
&lt;li>&lt;code>हार्डवेयर एक्सेलेरेटर&lt;/code> को &lt;code>GPU&lt;/code> में बदलें
&lt;img src="http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_2.png"
width="627"
height="324"
srcset="http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_2_hud7bbdf6a24e33b2b36528d9e25b016c8_23961_480x0_resize_box_3.png 480w, http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_2_hud7bbdf6a24e33b2b36528d9e25b016c8_23961_1024x0_resize_box_3.png 1024w"
loading="lazy"
alt="img_2.png"
class="gallery-image"
data-flex-grow="193"
data-flex-basis="464px"
>&lt;/li>
&lt;li>नीचे दिए गए कोड को पेस्ट करें और चलाएं&lt;/li>
&lt;/ol>
&lt;div class="highlight">&lt;div class="chroma">
&lt;table class="lntable">&lt;tr>&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code>&lt;span class="lnt">1
&lt;/span>&lt;/code>&lt;/pre>&lt;/td>
&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code class="language-fallback" data-lang="fallback">&lt;span class="line">&lt;span class="cl">!pip install diffusers==0.8.0 transformers
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/td>&lt;/tr>&lt;/table>
&lt;/div>
&lt;/div>&lt;ol start="6">
&lt;li>नीचे दिए गए कोड को पेस्ट करें और चलाएं&lt;/li>
&lt;/ol>
&lt;div class="highlight">&lt;div class="chroma">
&lt;table class="lntable">&lt;tr>&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code>&lt;span class="lnt">1
&lt;/span>&lt;/code>&lt;/pre>&lt;/td>
&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code class="language-fallback" data-lang="fallback">&lt;span class="line">&lt;span class="cl">from diffusers import StableDiffusionPipeline
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/td>&lt;/tr>&lt;/table>
&lt;/div>
&lt;/div>&lt;ol start="7">
&lt;li>नीचे दिए गए कोड को पेस्ट करें और चलाएं&lt;/li>
&lt;/ol>
&lt;div class="highlight">&lt;div class="chroma">
&lt;table class="lntable">&lt;tr>&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code>&lt;span class="lnt">1
&lt;/span>&lt;span class="lnt">2
&lt;/span>&lt;/code>&lt;/pre>&lt;/td>
&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code class="language-fallback" data-lang="fallback">&lt;span class="line">&lt;span class="cl">pipe = StableDiffusionPipeline.from_pretrained(&amp;#34;gsdf/Counterfeit-V2.5&amp;#34;)
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">pipe.to(&amp;#34;cuda&amp;#34;)
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/td>&lt;/tr>&lt;/table>
&lt;/div>
&lt;/div>&lt;ol start="8">
&lt;li>नीचे दिए गए कोड को पेस्ट करें और चलाएं&lt;/li>
&lt;/ol>
&lt;div class="highlight">&lt;div class="chroma">
&lt;table class="lntable">&lt;tr>&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code>&lt;span class="lnt">1
&lt;/span>&lt;span class="lnt">2
&lt;/span>&lt;span class="lnt">3
&lt;/span>&lt;span class="lnt">4
&lt;/span>&lt;span class="lnt">5
&lt;/span>&lt;/code>&lt;/pre>&lt;/td>
&lt;td class="lntd">
&lt;pre tabindex="0" class="chroma">&lt;code class="language-fallback" data-lang="fallback">&lt;span class="line">&lt;span class="cl">prompt = &amp;#34;((masterpiece,best quality)),1girl, solo, animal ears, rabbit, barefoot, knees up, dress, sitting, rabbit ears, short sleeves, looking at viewer, grass, short hair, smile, white hair, puffy sleeves, outdoors, puffy short sleeves, bangs, on ground, full body, animal, white dress, sunlight, brown eyes, dappled sunlight, day, depth of field&amp;#34;
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">n_prompt = &amp;#34;EasyNegative, extra fingers,fewer fingers&amp;#34;
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">image = pipe(prompt, negative_prompt = n_prompt).images[0]
&lt;/span>&lt;/span>&lt;span class="line">&lt;span class="cl">image
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/td>&lt;/tr>&lt;/table>
&lt;/div>
&lt;/div>&lt;p>यहाँ उपयोग किया गया &lt;code>Prompt&lt;/code>, &lt;a class="link" href="https://huggingface.co/gsdf/Counterfeit-V2.5" target="_blank" rel="noopener"
>https://huggingface.co/gsdf/Counterfeit-V2.5&lt;/a> के &lt;code>Prompt&lt;/code> पर आधारित है।&lt;/p>
&lt;h2 id="जनरट-कए-गए-परणम-कछ">जनरेट किए गए परिणाम (कुछ)
&lt;/h2>&lt;p>&lt;img src="http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_1.png"
width="512"
height="512"
srcset="http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_1_hu1ec19e515fd7538067cc14f2c3c8bddf_594392_480x0_resize_box_3.png 480w, http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_1_hu1ec19e515fd7538067cc14f2c3c8bddf_594392_1024x0_resize_box_3.png 1024w"
loading="lazy"
alt="img_1.png"
class="gallery-image"
data-flex-grow="100"
data-flex-basis="240px"
>&lt;/p>
&lt;p>&lt;img src="http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_3.png"
width="512"
height="512"
srcset="http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_3_hu67e673668e1b02812ead4fb15912ac36_533749_480x0_resize_box_3.png 480w, http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_3_hu67e673668e1b02812ead4fb15912ac36_533749_1024x0_resize_box_3.png 1024w"
loading="lazy"
alt="img_3.png"
class="gallery-image"
data-flex-grow="100"
data-flex-basis="240px"
>&lt;/p>
&lt;p>&lt;img src="http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_4.png"
width="512"
height="512"
srcset="http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_4_hu2b826ec3ad4d7685d995efaa40aac0c5_597506_480x0_resize_box_3.png 480w, http://kenji.blog/p/aistablediffusion%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E3%82%A4%E3%83%A9%E3%82%B9%E3%83%88%E7%94%BB%E5%83%8F%E7%94%9F%E6%88%90%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95/img_4_hu2b826ec3ad4d7685d995efaa40aac0c5_597506_1024x0_resize_box_3.png 1024w"
loading="lazy"
alt="img_4.png"
class="gallery-image"
data-flex-grow="100"
data-flex-basis="240px"
>&lt;/p>
&lt;h2 id="सदरभ">संदर्भ
&lt;/h2>&lt;ul>
&lt;li>&lt;a class="link" href="https://huggingface.co/gsdf/Counterfeit-V2.5" target="_blank" rel="noopener"
>https://huggingface.co/gsdf/Counterfeit-V2.5&lt;/a>&lt;/li>
&lt;li>&lt;a class="link" href="https://www.youtube.com/watch?v=l8-fVSM2PVQ" target="_blank" rel="noopener"
>मैंने 15 मिनट में आर्टिफिशियल इंटेलिजेंस (AI) का उपयोग करके एक इमेज जनरेशन प्रोग्राम बनाया 【लाइव प्रोग्रामिंग】&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>