Generate images of people reading with AI
Create your own images of people reading their favorite books with our free AI image generator.
2 years ago
Her favorite book
Créé 3 years ago · 2 commentaires· 0 j'aime
DreamShaper v8
Résumé de création par Vincent
Laughing Girl Reading: Storybook Watercolor Portrait
A beautiful portrait of a laughing girl engrossed in reading a book. The image is rendered with ornate details, volumetric lighting and friendly, muted watercolor-style colors.
Créé par Lucy le Dec 8, 2023 en utilisant le modèle générateur d'images AI DreamShaper v8.
2 Commentaires
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Me May Phim @memayphim
Thank you all participants for your contribution with your great artworks. Congratulations to @steffichu for winning the 1st prize and 3 participants got our tips: @Ate_My_Crayons for Runner up, @Segalascreatives and @bookstacksamber for Third place. The link for the result is here:
For the new challenge we will have 3 days for entry and 2 days for voting or until it finishes. Please also introduce the challenge to your friends. The link for new challenge:
The chatroom is fixed at and you can always go here to check for the introduction of new challenges or discuss about technical stuffs.
Best wishes for your journey of AI image creation.
2024-07-09T15:08:09.901ZReply
Paramètres de Création
- Prompts textuels
- Portrait of a laughing girl reading a book, Storybook style, hyperdetailed, beautiful, elegant, ethereal, fantasy concept art, 8k resolution, Unreal Engine 5, volumetric lighting, deep colors, gorgeous, friendly colors, story book style, muted colors, watercolor style, ornate details,Weight: 1Portrait photography, natural lighting, DSLR, 64 megapixels, HDR, photorealistic, a masterpiece, hyperrealism, photorealism, meticulously detailedWeight: 1ugly, 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: -1
- Modèle
CKPT- Résolution initiale
Thumb
- Rapport d'aspect
3:4
- Durée d'exécution
Short
- Poids de l'invite globale
65%
- Méthode d'échantillonnage
DDIM
