Generate your own 'find the cats' images
Create your own hidden object scenes with AI! It's free and easy to generate your own 'find the objects' pictures.
4 years ago
How many cats can you find?
सृजित 4 years ago · 7 टिप्पणियाँ· 0 लाइक·🪙 1
Stable Inpainting 2.0
Evolved from a seashell. Masks used a few times
विन्सेंट द्वारा सृजन सारांश
Cats in a Garden: Digital Matte Painting
A digital painting of numerous adorable cats lounging on rocks within a lush garden setting. The artwork features dynamic lighting and intricate details in a maximalist style with orange and teal hues.
सृजित Mar 21, 2023 को Tiny Pearl Cat द्वारा, Stable Inpainting 2.0 एआई छवि उत्पन्न मॉडल का उपयोग करके।
7 टिप्पणियाँ
बातचीत में शामिल हों
ZUKUSEI STUDIOS @ZUK
Ha ha, I did the same thing with owls and foxes, tricky isn’t it? 🥰❤️
2023-05-08T02:09:28.510ZReply
सृजन सेटिंग्स
- प्रीसेट स्टाइल
Epic
- प्रॉम्प्ट टेक्स्ट
- Adorable cats on rocks in a garden. Many cats pleaseWeight: 2.3Epic cinematic brilliant stunning intricate meticulously detailed dramatic atmospheric maximalist digital matte paintingWeight: 0.98k resolution concept art by Greg Rutkowski dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting Alphonse Mucha WLOP Jordan Grimmer orange and tealWeight: 0.98k resolution concept art by Greg Rutkowski dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting Alphonse Mucha WLOP Jordan Grimmer orange and tealWeight: 0.9ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draftWeight: -0.3Epic cinematic brilliant stunning intricate meticulously detailed dramatic atmospheric maximalist digital matte paintingWeight: 0.9
- मॉडल
- प्रारंभिक संकल्प
Low
- आस्पेक्ट रेश्यो
1:1
- रनटाइम
Short
- कुल प्रॉम्प्ट वजन
70%
- शोर वजन
30%
- सैंपलिंग विधि
K_LMS
