Generate ancient Chinese villages with AI
Create your own breathtaking ancient Chinese village scenes with our free and easy AI image generator.
3 years ago
An ancient Chinese village nestled on the side of lush green mountains, with winding pathways leading to the village and rope bridges spanni...
Created 3 years ago · 6 comments· 0 likes·🪙💰 5
Stable Diffusion 1.5
Creation Summary by Vincent
Lush Chinese Mountain Village: Fantasy Concept Art
A stunning digital matte painting of an ancient Chinese village nestled in lush mountains. The image showcases intricate details, rich colors, and winding pathways in a fantastical landscape art style.
Created by greatday4everyone on Jan 16, 2023 using the Stable Diffusion 1.5 AI image generator model.
6 Comments
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Prophet @Visionweaver_420
Nice!
2023-01-16T04:24:52.194ZReply
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Creation Settings
- Text Prompts
- An ancient Chinese village nestled on the side of lush green mountains, with winding pathways leading to the village and rope bridges spanning over valleys.The scene features detailed matte painting with deep, rich colors and fantastical intricate details.Weight: 1The composition uses complementary colors to create a cohesive and striking image. The piece is rendered in 8K resolution and is trending on Artstation. It is a perfect example of fantasy concept art, with elements of cottagecore, fantasycore, dreamcore, fairycore and landscape art.Weight: 1The scene is also characterized by its use of Epic cinematic, brilliant, stunning, intricate, meticulously detailed, dramatic, atmospheric and maximalist digital matte painting.Weight: 1The image is trending on Artstation and is suitable for use in Unreal Engine 5 for epic cinematic scenes, featuring brilliant and stunning details, meticulously crafted with a dramatic and atmospheric maximalist style.Weight: 1ugly, 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: -0.3
- Model
- Initial Resolution
Low
- Aspect Ratio
1:1
- Runtime
Short
- Overall Prompt Weight
50%
- Sampling method
K_LMS
