http://kenji.blog/hi/tags/%E0%A4%87%E0%A4%B2%E0%A4%B8%E0%A5%8D%E0%A4%9F%E0%A5%8D%E0%A4%B0%E0%A5%87%E0%A4%B6%E0%A4%A8/Recent content in इलस्ट्रेशन on kenji.blogHugo -- gohugo.iohikenjinoteThu, 06 Apr 2023 00:43:19 +0900http://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/Thu, 06 Apr 2023 00:43:19 +0900http://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/<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" /><h1 id="stable-diffusion-कय-ह">Stable diffusion क्या है </h1><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।</p> <p>इस बार, मैं पेश करूंगा कि Stable diffusion के प्री-ट्रेंड डेटा का उपयोग करके इलस्ट्रेशन इमेजेज कैसे जनरेट करें।</p> <h1 id="आपक-कय-चहए">आपको क्या चाहिए </h1><ul> <li>Google अकाउंट</li> </ul> <p>केवल यही</p> <h1 id="जनरशन-परकरय">जनरेशन प्रक्रिया </h1><ol> <li><a class="link" href="https://colab.research.google.com" target="_blank" rel="noopener" >https://colab.research.google.com</a> खोलें</li> <li>ऊपर बाईं ओर <code>फ़ाइल</code> से <code>नई नोटबुक</code> चुनें</li> <li><code>संपादित करें</code> से <code>नोटबुक सेटिंग</code> चुनें</li> <li><code>हार्डवेयर एक्सेलेरेटर</code> को <code>GPU</code> में बदलें <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" ></li> <li>नीचे दिए गए कोड को पेस्ट करें और चलाएं</li> </ol> <div class="highlight"><div class="chroma"> <table class="lntable"><tr><td class="lntd"> <pre tabindex="0" class="chroma"><code><span class="lnt">1 </span></code></pre></td> <td class="lntd"> <pre tabindex="0" class="chroma"><code class="language-fallback" data-lang="fallback"><span class="line"><span class="cl">!pip install diffusers==0.8.0 transformers </span></span></code></pre></td></tr></table> </div> </div><ol start="6"> <li>नीचे दिए गए कोड को पेस्ट करें और चलाएं</li> </ol> <div class="highlight"><div class="chroma"> <table class="lntable"><tr><td class="lntd"> <pre tabindex="0" class="chroma"><code><span class="lnt">1 </span></code></pre></td> <td class="lntd"> <pre tabindex="0" class="chroma"><code class="language-fallback" data-lang="fallback"><span class="line"><span class="cl">from diffusers import StableDiffusionPipeline </span></span></code></pre></td></tr></table> </div> </div><ol start="7"> <li>नीचे दिए गए कोड को पेस्ट करें और चलाएं</li> </ol> <div class="highlight"><div class="chroma"> <table class="lntable"><tr><td class="lntd"> <pre tabindex="0" class="chroma"><code><span class="lnt">1 </span><span class="lnt">2 </span></code></pre></td> <td class="lntd"> <pre tabindex="0" class="chroma"><code class="language-fallback" data-lang="fallback"><span class="line"><span class="cl">pipe = StableDiffusionPipeline.from_pretrained(&#34;gsdf/Counterfeit-V2.5&#34;) </span></span><span class="line"><span class="cl">pipe.to(&#34;cuda&#34;) </span></span></code></pre></td></tr></table> </div> </div><ol start="8"> <li>नीचे दिए गए कोड को पेस्ट करें और चलाएं</li> </ol> <div class="highlight"><div class="chroma"> <table class="lntable"><tr><td class="lntd"> <pre tabindex="0" class="chroma"><code><span class="lnt">1 </span><span class="lnt">2 </span><span class="lnt">3 </span><span class="lnt">4 </span><span class="lnt">5 </span></code></pre></td> <td class="lntd"> <pre tabindex="0" class="chroma"><code class="language-fallback" data-lang="fallback"><span class="line"><span class="cl">prompt = &#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&#34; </span></span><span class="line"><span class="cl">n_prompt = &#34;EasyNegative, extra fingers,fewer fingers&#34; </span></span><span class="line"><span class="cl"> </span></span><span class="line"><span class="cl">image = pipe(prompt, negative_prompt = n_prompt).images[0] </span></span><span class="line"><span class="cl">image </span></span></code></pre></td></tr></table> </div> </div><p>यहाँ उपयोग किया गया <code>Prompt</code>, <a class="link" href="https://huggingface.co/gsdf/Counterfeit-V2.5" target="_blank" rel="noopener" >https://huggingface.co/gsdf/Counterfeit-V2.5</a> के <code>Prompt</code> पर आधारित है।</p> <h2 id="जनरट-कए-गए-परणम-कछ">जनरेट किए गए परिणाम (कुछ) </h2><p><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" ></p> <p><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" ></p> <p><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" ></p> <h2 id="सदरभ">संदर्भ </h2><ul> <li><a class="link" href="https://huggingface.co/gsdf/Counterfeit-V2.5" target="_blank" rel="noopener" >https://huggingface.co/gsdf/Counterfeit-V2.5</a></li> <li><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】</a></li> </ul>