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JiuZhaigou National Park: Fairyland Landscape Aerial View
JiuZhaigou National Park: Fairyland Landscape Aerial View
3 years ago

long shot aerial view of the beautiful landscape of JiuZhaigou National Park in China,Fairyland on Earth. colorful lakes, multi-level waterf...

Created 3 years ago Β· 1 commentΒ· 0 likes

Stable Diffusion 1.5

Vincent's Avatar
Creation Summary by Vincent

JiuZhaigou National Park: Fairyland Landscape Aerial View

A stunning aerial view of JiuZhaigou National Park's vibrant landscape. The image captures the park's colorful lakes, cascading waterfalls, snow-capped peaks, and lush vegetation, rendered with vivid colors and breathtaking detail.

Created by greatday4everyone on Jan 8, 2023 using the Stable Diffusion 1.5 AI image generator model.


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they look weirdly realistic

2023-01-08T03:13:37.212ZReply

Creation Settings

Text Prompts
long shot aerial view of the beautiful landscape of JiuZhaigou National Park in China,Fairyland on Earth. colorful lakes, multi-level waterfalls formed by the convergence of several small streams, and snow-capped peaks
Weight: 2.3
lakes with striking hues range from deep blue to bright green. lush diverse array of plants,stunningly beautiful scenery,with crystal clear waters and rainbow-colored mist, colorful forests, and snow-capped mountains
Weight: 1
by David Hockney,Peter Doig,Max Gimblett,Kim Lim,David Kapp ,David Thorpe,David Ligare and Andrew Wyeth
Weight: 1
featured on cgsociety, aerial view, wide angle landscape, ISO 100, f/32, fantasy art, 8k, breathtaking nature landscape, vivid colors, hills, ocean, cliffs, trending on artstation, WLOP ,cgsociety , trending on cgsociety
Weight: 1
ugly, 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, draft
Weight: -0.3
Model
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Initial Resolution

Thumb

Aspect Ratio

16:9

Runtime

Short

Overall Prompt Weight

50%

Sampling method

K_LMS


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