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Magical Lava Tree: Fantastical Artgerm-Inspired Image
Magical Lava Tree: Fantastical Artgerm-Inspired Image
3 years ago

first creation by MikThor @MikThor

Created 3 years ago · 2 comments· 0 likes

Stable Diffusion 1.5

all credit to any of the creations I have made goes to MikThor @MikThor

Vincent's Avatar
Creation Summary by Vincent

Magical Lava Tree: Fantastical Artgerm-Inspired Image

A vibrant image of a magical tree emerging from lava. The scene features intricate details, dramatic lighting, and glowing mist, rendered with complementary colors and a fantastical aesthetic.

Created by Jace Phillips on Feb 16, 2023 using the Stable Diffusion 1.5 AI image generator model.


2 Comments

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Anonymous User
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Great 🔥

2023-02-16T18:07:06.141ZReply
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Creation Settings

Preset Style

NightCafe

Text Prompts
Beautiful and insanely detailed image of a magical tree in lava by Titian and Artgerm. Intricate, dark, elegant, fantastical and glowing mist.
Weight: 2
Beautiful, highly detailed, dramatic lighting, sharp focus, trending on Artstation, ArtstationHD, ArtstationHQ, DeviantArt, Unreal Engine, 8k, full resolution, psychedelic dripping colors, neon, ultra realistic, photorealism, photorealistic, ultra detailed.
Weight: 1
Cinematic shot, photos taken by Arri, Canon, Nikon, Sony, Hasselblad. Incredibly detailed, sharp, details. Professional lighting, photography lighting, 50mm, 80mm, 100mm, lightroom gallery, Behance photography, Unsplash.
Weight: 0.8
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. yin yang
Weight: -0.6
detailed matte painting, deep color, fantastical, intricate detail, splash screen, complementary colors, fantasy concept art, 8k resolution trending on Artstation Unreal Engine 5
Weight: 0.9
Model
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Initial Resolution

Thumb

Aspect Ratio

3:4

Runtime

Long

Overall Prompt Weight

70%

Noise Weight

20%

Sampling method

K_LMS


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