I learnt a new thing yesterday, And I am going to share it with you. 🚀 𝐇𝐨𝐰 𝐀𝐈 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐬 𝐈𝐦𝐚𝐠𝐞𝐬 𝐟𝐫𝐨𝐦 𝐉𝐮𝐬𝐭 𝐚 𝐏𝐫𝐨𝐦𝐩𝐭! AI is transforming the way we create visuals, and Stable Diffusion AI is leading the charge. But how does it actually work? 🤔 Here’s the 𝐟𝐥𝐨𝐰 𝐝𝐢𝐚𝐠𝐫𝐚𝐦 breaking it down: 1️⃣ 𝐂𝐋𝐈𝐏 𝐌𝐨𝐝𝐞𝐥 converts text prompts into embeddings. 2️⃣ 𝐆𝐚𝐮𝐬𝐬𝐢𝐚𝐧 𝐍𝐨𝐢𝐬𝐞 initializes a random latent space. 3️⃣ 𝐔-𝐍𝐞𝐭 progressively refines the noisy image using the prompt’s embedding as a guide. 4️⃣ 𝐕𝐀𝐄 (𝐕𝐚𝐫𝐢𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐮𝐭𝐨𝐞𝐧𝐜𝐨𝐝𝐞𝐫) decodes the latent representation into a high-resolution image. 5️⃣ 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞𝐫 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦 fine-tunes the noise removal process for better outputs. This isn’t just about AI art—it’s about 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲, 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐢𝐧𝐠 𝐜𝐫𝐞𝐚𝐭𝐢𝐯𝐢𝐭𝐲. Agencies and enterprises that embrace AI 𝐰𝐢𝐥𝐥 𝟏𝟎𝟎𝐱 𝐭𝐡𝐞𝐢𝐫 𝐨𝐮𝐭𝐩𝐮𝐭, reducing costs and turnaround time. Traditional workflows are getting disrupted. I am building the tools where AI 𝐞𝐧𝐡𝐚𝐧𝐜𝐞𝐬, 𝐧𝐨𝐭 𝐫𝐞𝐩𝐥𝐚𝐜𝐞𝐬, 𝐡𝐮𝐦𝐚𝐧 𝐜𝐫𝐞𝐚𝐭𝐢𝐯𝐢𝐭𝐲. 🔥 𝐀𝐫𝐞 𝐲𝐨𝐮 𝐫𝐞𝐚𝐝𝐲 𝐭𝐨 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 𝐀𝐈 𝐢𝐧𝐭𝐨 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬? Let’s talk—how do you see AI reshaping your industry? Drop your thoughts below! 👇 hashtag#StableDiffusion hashtag#0to100xEngineers hashtag#AIInnovation hashtag#FutureOfWork hashtag#Automation
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