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Vintage Portrait of a Beautiful Lady in Sepia
Vintage Portrait of a Beautiful Lady in Sepia
4 years ago

Vintage (AKA Daily Challenge Runner-Up!)

Créé 4 years ago · 33 commentaires· 0 j'aime

Stable Diffusion 1.4Stable Diffusion 1.4

Daily Challenge #70:Vintage Photos

EDIT: Thanks to everyone who voted for my image! Never expected to get close to winning, but really appreciate everyone's support.
And thanks again to @Ravengris for providing some very solid prompt inspiration as a starting point. Sharing your prompts is the best way to build a community here, and learn from the people who are doing the best work.
And no shade to the winner... but at least I keep my prompts open.*
*OK, maybe a little shade.
:)
Vintage photo, using a prompt from @Ravengris as a starting point and trying some adjustments
Avatar de Vincent
Résumé de création par Vincent

Vintage Portrait of a Beautiful Lady in Sepia

This image shows a vintage black and white portrait of a beautiful woman from the early 1900s. The photorealistic image features cool colors and gothic art elements, reminiscent of a sepia-toned photograph.

Créé par g4barry le Dec 21, 2022 en utilisant le modèle générateur d'images AI Stable Diffusion 1.4.


33 Commentaires

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Anonymous User
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Amazing 👏
2026-01-24T02:29:13.633ZReply
420th like. nice :D
Excellent and elegant portrait. Well rendered, and congratulations!
View replies (1)

Paramètres de Création

Prompts textuels
Vintage old black and white head and shoulders photo portrait, beautiful lady, perfect face, perfect eyes, decolletage, decollete, cool colors, gothic art, photorealism, 1900s photograph, diffuse light, long exposure, 1900s photograph, 18th century atlas, flickering light, landscape, photorealistic, ...
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 1.4
CKPT

Stable Diffusion 1.4

Résolution initiale

Thumb

Rapport d'aspect

3:4

Durée d'exécution

Short

Poids de l'invite globale

50%

Poids du bruit

50%

Méthode d'échantillonnage

K_LMS


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