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Epic Fantasy Landscape with Ancient Tree
Epic Fantasy Landscape with Ancient Tree
3 years ago

The Vault │4│ The Rest: #144

Created 3 years ago · 32 comments· 0 likes

Stable Diffusion 1.56x

#gazelli#thevault#open-prompt-gang#fantasy#tree
Please credit me or keep your prompts open when you use my prompts, thank you! 🙏
This creation is part of the Vault collections. Most of the creations in these collections will be only published for a limited amount of time. However, you will be able to find all creations in the following collections: The Vault │1│ The Cute and the Fantastic
The Vault │2│ The Portraits
The Vault │3│ The Dark
The Vault │4│ The Rest
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Creation Summary by Vincent

Epic Fantasy Landscape with Ancient Tree

This image shows a vibrant fantasy landscape dominated by an ancient tree. The digital illustration features colorful clouds and a dramatic, cinematic composition with triadic colors.

Created by Gazelli on Dec 16, 2022 using the Stable Diffusion 1.5 AI image generator model.


32 Comments

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Anonymous User
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stunning 🧡
2023-02-06T21:52:35.255ZReply
View replies (1)
PRO
Beautiful color mood
It looks like the beginning of a new world, and one that I would like to explore.

Creation Settings

Text Prompts
"epic fantasy landscape!!! tree of the ancients!!! epic colorful clouds!!", tone mapped, hyperdetailed digital illustration by Clamp, Hayao Miyazaki, Yoshitaka Amano, Erin Hanson, Gazelli and Wadim Kashin, masterpiece, 16k, trending on artstation, Vibrant triadic Colors, cinematic, concept art, sinister, ...
Weight: 1
"ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft"
Weight: -0.2
""lowres, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, blurry, broken, cgi, 3D"
Weight: -0.2
Model
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Initial Resolution

Low

Aspect Ratio

3:4

Runtime

Medium

Overall Prompt Weight

60%

Noise Weight

40%

Sampling method

K_DPM_2


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