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Epic Dragon Over Lakeside City
Epic Dragon Over Lakeside City
3 years ago

Dragonfisher

Created 3 years ago · 34 comments· 0 likes·🪙 1

Stable Diffusion 1.56x

#gazelli#open-prompt-gang

Wanted to try something VERY difficult. Evolve of this one:

Really love it as well (especially the dragon) but there were some details I wasn't so keen about.

Thank you to Jyotishi for the title inspiration! @rwb

If you like this you might enjoy this collection:

And if you want even more, have a look at the outtakes:

Vincent's Avatar
Creation Summary by Vincent

Epic Dragon Over Lakeside City

A dramatic image of a majestic dragon soaring over a city on a lake. The artwork features dynamic lighting, triadic colors, and a cinematic aesthetic, rendered as concept art.

Created by Gazelli on Dec 12, 2022 using the Stable Diffusion 1.5 AI image generator model.


34 Comments

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2022-12-14T17:54:26.563ZReply
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Love it! The dragon is incredible. Love the castles as well. What's your strategy for making such interesting stuff?

PRO

Need a bigger hook hehe!

I like this a lot. I've sound it very difficult to do multiple specific subjects in the ai generated art. I think this is well done but, as you said, probably could use some tweaks. Overall, very nice!

a dragon-fisher in action, he missed the dragon, will the dragon miss him?

I really like the background and the dragon's mouth, the character a bit less, but it's super hard to build a scene like that :) Kudos!

Creation Settings

Text Prompts
"detailed epic dragon over city on the lake", hyperdetailed matte illustration by greg rutkowski, Jeremy Mann, Erik Johansson, tone mapped, masterpiece, trending on artstation, dynamic lighting, ambient lighting, cinematic dramatic, triadic colors, concept art, Unreal Engine 5, sharp focus, splash ...
Weight: 1
lowres, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, blurry, broken, cgi, 3D
Weight: -1
Model
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Initial Resolution

Low

Aspect Ratio

4:3

Runtime

Short

Overall Prompt Weight

70%

Noise Weight

10%

Sampling method

K_DPM_2


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