Generate your own Akuma portraits with AI
Create your own Akuma portraits in the style of David Hockney, free and easily with our AI image generator!
3 years ago
Akuma portrait by David Hockney sharp focus intricately textured Todd McFarlane Basil Gogos lifelike Cinema 4D pixiv Kodak Ektar Steve McCur...
Created 3 years ago · 3 comments· 0 likes
Stable Diffusion 1.5
Creation Summary by Vincent
Akuma Portrait in Hyperrealism with Shadow Depth
A hyperrealistic portrait of Akuma with shadow depth. This image showcases a blend of artistic techniques, including intricate textures and photorealistic rendering, reminiscent of digital art. The portrait emphasizes ambient light and sharp focus.
Created by SinisterAglet on Mar 19, 2023 using the Stable Diffusion 1.5 AI image generator model.
3 Comments
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Art of the Mystic @TheMystic
[Deleted]
2023-03-19T14:26:34.792ZReply
I like that you show your prompts - so do I. It helps everyone to grow. Mix and match, some very interesting results come of this.
Creation Settings
- Text Prompts
- Akuma portrait by David Hockney sharp focus intricately textured Todd McFarlane Basil Gogos lifelike Cinema 4D pixiv Kodak Ektar Steve McCurry Egon Schiele kintsugi Gustave Doré Shadow DepthWeight: 0.4Atrocitus Loki portrait lifelike Hyperrealism Steve McCurry Gustave Doré photorealism 64 megapixels Unreal Engine 5Weight: 1Black Knight Obsidian Close up portrait, ambient light, Nikon 15mm f/1.8G, by Lee Jeffries, Alessio Albi, Adrian Kuipers, m.c. EscherWeight: 0.7Afghan Girl portrait head and shoulders by Steve McCurry 64 megapixels 16K resolution lifelike Junji itoWeight: 0.3Multiple faces, extra faces, extra people, frames, panels, glasses, text, kanjiWeight: -0.8ugly, 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
Thumb
- Aspect Ratio
3:4
- Runtime
Short
- Overall Prompt Weight
70%
- Sampling method
K_LMS
