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Generate Images of the Lost Generation with AI

Create your own images inspired by the Lost Generation. It's free and easy to explore this iconic era!

Vintage Portrait of a WWI British Soldier
Vintage Portrait of a WWI British Soldier
3 years ago

The lost generation of 1916

Créé 3 years ago · 2 commentaires· 0 j'aime

Stable Diffusion 2.1Stable Diffusion 2.1

WW1 as imagined by AI: "Did you leave a wife or a sweetheart behind In some faithful heart is your memory enshrined? Although, you died back in 1916 In that faithful heart are you forever nineteen? Or are you a stranger without even a name Enclosed in forever behind the glass frame In an old photograph, torn, battered and stained And faded to yellow in a brown leather frame?"
-excerpt quote from the well known song "the green fields of France-
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Résumé de Création par Vincent

Vintage Portrait of a WWI British Soldier

A sepia toned portrait of a World War I British soldier in full uniform, reminiscent of aged photographs from the early 1900s. The image evokes a sense of historical realism.

Créé par Jarvik Plundra le Jul 15, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 2.1.


2 Commentaires

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Anonymous User
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Well done! I also created a portrait of WWI let me know what do you think, and recommended you also 😃 😊
2023-07-16T04:04:46.441ZReply
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Paramètres de Création

Prompts textuels
Epic masterpiece incredible skindetails 64 megapixels 8K resolution sepia grainy and old and stained and fading 1900s photograph portrait of a teenage ww1 British soldier wearing historically accurate ww1 british khaki uniform with ww1 british army cap framed in a brown leather frame that stands on a ...
Weight: 1
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: -0.3
Modèle
Stable Diffusion 2.1
CKPT

Stable Diffusion 2.1

Résolution initiale

Thumb

Rapport d'aspect

1:1

Durée d'exécution

Short

Poids de l'invite globale

50%

Méthode d'échantillonnage

K_LMS


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