#%E3%83%95%E3%82%A9%E3%83%BC%E3%82%B9%E3%81%A8%E5%85%B1%E3%81%AB

やぎ@socialCapra_jp
2025-05-03

Good morning 🌅おはようございます

"Fear is the path to the dark side. Fear leads to anger, anger leads to hate, and hate leads to suffering."

These wise words were spoken by Yoda to Anakin in *: Episode I – The Phantom Menace*.

Negative thoughts amplify negative emotions. Shift your mindset to positivity and make ! 🥳
🌌

「恐れはダークサイドに通じる。恐れは怒りに、怒りは憎しみに、憎しみは苦痛へ」
とはのスター・ウォーズep1のヨーダのセリフです

マイナス思考が負の感情を増幅させます、プラス思考に切り替えてください🥳

①« Generated by ideogramai »
Cinematic photo (photo of two cute cats holding lightsabers), the two cats are cute and brave. One is a snow-white cat with piercing emerald green eyes. The other is a tabby cat with warm honey-colored eyes. The two cats are wearing majestic robes like Jedi, each holding a glittering lightsaber and staring at the camera. (Background: Moonless, pitch-black desert and galaxy)
#本日の成果物 #aiartcommunity ②«#aiart Generated by MagicEraser/FLUX »
In the heart of a moonless, pitch-black desert, two courageous felines, a snowy white cat with piercing emerald eyes and a tabby cat with warm, honey-gold eyes, don majestic Jedi-like robes with intricate, metallic embroidery, their regal presence commanding attention. Each cat grasps a gleaming lightsaber, its vibrant, electric blue and fiery orange hues illuminating their determined, heroic facial expressions. The white cat's fur is immaculately groomed, with subtle, creamy undertones, while the tabby cat's coat boasts rich, earthy tones with a velvety sheen. The atmosphere is tense, with an air of anticipation, as if the cats are ready to defend against an unknown threat. The cinematic scene is bathed in a warm, golden light, with subtle vignette and shallow depth of field effects, amplifying the sense of drama and intimacy. The image is infused with a filmic essence, reminiscent of Kodak Porta 400 and Cinestill 800, with a shallow focus and subtle bokeh, as if captured by a Leica

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst