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Generate manga portraits in the style of Andrei Rublev

Create your own stunning manga portraits in the style of the old masters. It's free and easy!

Manga Portrait in Iconographic Style, Oil on Canvas
Manga Portrait in Iconographic Style, Oil on Canvas
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3 years ago

Photorealistic Beautiful Cheerful Manga Maude Fealy, Oils on canvas in the style of Andrei Rublev

Creato 3 years ago · 0 commenti· 0 mi piace

Stable Diffusion 2.1Stable Diffusion 2.1

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Manga Portrait in Iconographic Style, Oil on Canvas

This image shows a photorealistic and cheerful manga-style portrait. The artwork evokes the style of religious icon paintings, rendered with dynamic lighting, intricate details, and a vibrant color palette.

Creato da Murray Love il Oct 4, 2023 utilizzando il modello di generatore di immagini AI Stable Diffusion 2.1.


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Impostazioni Creazione

Prompt testuali
Photorealistic Beautiful Cheerful Manga Maude Fealy, Oils on canvas in the style of Andrei Rublev
Weight: 3
head and shoulders portrait, 8k resolution concept art portrait by Jacques-Louis David, Gustav Klimt, dynamic lighting hyperdetailed intricately detailed Splash art triadic colors Unreal Engine 5 volumetric lighting
Weight: 2
Pearls, Oceans, Icebergs, Fire, Seashells, Baubles, Beads, Lalique Glass, Gold, Silver, Red, Black, White, Blue, Green, Yellow, Glass, Glassy, Brilliant, Crystal, Lalique, Murano, Diamonds, Rubies, Sapphires, Emeralds
Weight: 2.5
Patchwork Quilts, Patchworked, Cloth Patches, Patchwork Quilts, Patchworked, Cloth Patches, Rags, Ragged, Raggedy, Swatches, Offcuts, Patterns, Paisley, Checked, Striped, Muslin, Linen, Cotton, Woollen
Weight: 2.5
sea, tree, 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: -3
Modello
Stable Diffusion 2.1
CKPT

Stable Diffusion 2.1

Risoluzione iniziale

Thumb

Proporzioni

1:1

Tempo di esecuzione

Short

Peso complessivo del Prompt

30%

Metodo di Campionamento

K_LMS


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