<?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/fr/tags/google-colaboratory/</link><description>Recent content in Google Colaboratory on kenji.blog</description><generator>Hugo -- gohugo.io</generator><language>fr</language><copyright>kenjinote</copyright><lastBuildDate>Sun, 09 Apr 2023 01:02:19 +0900</lastBuildDate><atom:link href="http://kenji.blog/fr/tags/google-colaboratory/index.xml" rel="self" type="application/rss+xml"/><item><title>Comment dessiner des graphiques avec Python (matplotlib.pyplot)</title><link>http://kenji.blog/fr/p/comment-dessiner-des-graphiques-avec-python-matplotlib.pyplot/</link><pubDate>Sun, 09 Apr 2023 01:02:19 +0900</pubDate><guid>http://kenji.blog/fr/p/comment-dessiner-des-graphiques-avec-python-matplotlib.pyplot/</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 Comment dessiner des graphiques avec Python (matplotlib.pyplot)" />&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"
height="288"
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"
class="gallery-image"
data-flex-grow="416"
data-flex-basis="1000px"
>&lt;/p>
&lt;h1 id="ce-dont-vous-avez-besoin">Ce dont vous avez besoin
&lt;/h1>&lt;ul>
&lt;li>Compte Google&lt;/li>
&lt;/ul>
&lt;h1 id="étapes">Étapes
&lt;/h1>&lt;ol>
&lt;li>Accédez à &lt;a class="link" href="https://colab.research.google.com/" target="_blank" rel="noopener"
>https://colab.research.google.com/&lt;/a>&lt;/li>
&lt;li>Sélectionnez &amp;ldquo;Fichier&amp;rdquo; -&amp;gt; &amp;ldquo;Nouveau notebook&amp;rdquo;&lt;/li>
&lt;li>Collez et exécutez le code ci-dessous&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"># Afficher la légende&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="résultat-de-lexécution">Résultat de l&amp;rsquo;exécution
&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"
height="413"
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="références">Références
&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>Comment tweeter en utilisant l'API Twitter et Google Colaboratory</title><link>http://kenji.blog/fr/p/comment-tweeter-en-utilisant-l-api-twitter-et-google-colaboratory/</link><pubDate>Sat, 08 Apr 2023 18:48:32 +0900</pubDate><guid>http://kenji.blog/fr/p/comment-tweeter-en-utilisant-l-api-twitter-et-google-colaboratory/</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 Comment tweeter en utilisant l'API Twitter et Google Colaboratory" />&lt;h1 id="ce-dont-vous-avez-besoin">Ce dont vous avez besoin
&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>Compte Google&lt;/li>
&lt;/ul>
&lt;p>Consultez le site de référence pour savoir comment obtenir l&amp;rsquo;API Twitter.&lt;/p>
&lt;h1 id="étapes-pour-tweeter-à-laide-de-lapi">Étapes pour tweeter à l&amp;rsquo;aide de l&amp;rsquo;API
&lt;/h1>&lt;ol>
&lt;li>Accédez à &lt;a class="link" href="https://colab.research.google.com/" target="_blank" rel="noopener"
>https://colab.research.google.com/&lt;/a>&lt;/li>
&lt;li>Sélectionnez &amp;ldquo;Fichier&amp;rdquo; -&amp;gt; &amp;ldquo;Nouveau notebook&amp;rdquo;&lt;/li>
&lt;li>Collez et exécutez le code ci-dessous (veuillez utiliser vos propres valeurs réelles obtenues)&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>Collez et exécutez le code ci-dessous&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>Collez et exécutez le code ci-dessous (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>→ Un tweet disant &lt;code>hello&lt;/code> sera publié.&lt;/p>
&lt;ol start="5">
&lt;li>Collez et exécutez le code ci-dessous (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>→ Un tweet disant &lt;code>hello v2&lt;/code> sera publié.&lt;/p>
&lt;p>C&amp;rsquo;est tout.&lt;/p>
&lt;h1 id="référence">Référence
&lt;/h1>&lt;ul>
&lt;li>&lt;a class="link" href="https://bloomtectec.com/twitter-api-application-procedure/" target="_blank" rel="noopener"
>【À partir d&amp;rsquo;avril 2021】Explication détaillée de la demande d&amp;rsquo;utilisation de l&amp;rsquo;API Twitter avec des exemples de phrases d&amp;rsquo;utilisation et des captures d&amp;rsquo;écran&lt;/a>&lt;/li>
&lt;li>&lt;a class="link" href="https://bloomtectec.com/use-twitter-api-in-google-colab/" target="_blank" rel="noopener"
>【Pas besoin de paramètres compliqués !】Google Colaboratory est recommandé comme environnement de test pour l&amp;rsquo;API Twitter 【Le code source est également partagé】&lt;/a>&lt;/li>
&lt;li>&lt;a class="link" href="https://3pysci.com/tweepy-28/" target="_blank" rel="noopener"
>【Tweepy】Twitter API v2 : Tweets, réponses, tweets avec sondages, tweets avec médias (v1.1) [Python]&lt;/a>&lt;/li>
&lt;/ul></description></item><item><title>Comment générer des images d'illustration à l'aide de l'IA (Stable Diffusion)</title><link>http://kenji.blog/fr/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/fr/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 Comment générer des images d'illustration à l'aide de l'IA (Stable Diffusion)" />&lt;h1 id="quest-ce-que-stable-diffusion">Qu&amp;rsquo;est-ce que Stable diffusion
&lt;/h1>&lt;p>Stable diffusion est une IA développée par une équipe de recherche de l&amp;rsquo;Université de Munich, en Allemagne, qui génère des images à partir d&amp;rsquo;informations textuelles fournies.
En lui apprenant diverses images, il peut générer une grande variété d&amp;rsquo;images allant des photographies aux illustrations.&lt;/p>
&lt;p>Cette fois, je vais vous présenter comment générer des images d&amp;rsquo;illustration à l&amp;rsquo;aide des données pré-entraînées de Stable diffusion.&lt;/p>
&lt;h1 id="ce-dont-vous-aurez-besoin">Ce dont vous aurez besoin
&lt;/h1>&lt;ul>
&lt;li>Compte Google&lt;/li>
&lt;/ul>
&lt;p>Seulement ça&lt;/p>
&lt;h1 id="procédure-de-génération">Procédure de génération
&lt;/h1>&lt;ol>
&lt;li>Ouvrez &lt;a class="link" href="https://colab.research.google.com" target="_blank" rel="noopener"
>https://colab.research.google.com&lt;/a>&lt;/li>
&lt;li>Sélectionnez &lt;code>Fichier&lt;/code> en haut à gauche, puis &lt;code>Nouveau notebook&lt;/code>&lt;/li>
&lt;li>Sélectionnez &lt;code>Modifier&lt;/code>, puis &lt;code>Paramètres du notebook&lt;/code>&lt;/li>
&lt;li>Changez l&amp;rsquo;&lt;code>Accélérateur matériel&lt;/code> en &lt;code>GPU&lt;/code>
&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>Collez et exécutez le code ci-dessous&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>Collez et exécutez le code ci-dessous&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>Collez et exécutez le code ci-dessous&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>Collez et exécutez le code ci-dessous&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>Le &lt;code>Prompt&lt;/code> utilisé ici est basé sur le &lt;code>Prompt&lt;/code> de &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;/p>
&lt;h2 id="résultats-générés-quelques-uns">Résultats générés (quelques-uns)
&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="références">Références
&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"
>J&amp;rsquo;ai créé un programme de génération d&amp;rsquo;images à l&amp;rsquo;aide de l&amp;rsquo;Intelligence Artificielle (IA) en 15 minutes 【Programmation en direct】&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>