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Gorgeous Fire Butterfly in Hyperrealistic Digital Art
Gorgeous Fire Butterfly in Hyperrealistic Digital Art
4 years ago

Fire butterfly

Créé 4 years ago · 6 commentaires· 0 j'aime

Coherent2x

All credit goes to Gazelli: @Gazelli
Make sure to go check out their artwork. It's absolutely amazing.
Open Prompt
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Résumé de création par Vincent

Gorgeous Fire Butterfly in Hyperrealistic Digital Art

A striking picture of a fire butterfly with high flames. The image is a hyperrealistic digital illustration with volumetric lighting and vibrant complementary colors in a film noir aesthetic.

Créé par Ehna Rivekan le Jan 27, 2023 en utilisant le modèle générateur d'images AI Coherent.


Images de Progression

6 Commentaires

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Anonymous User
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PRO
Amazing!
2023-02-02T10:43:03.040ZReply
View replies (1)
This is beautiful!! Love the colors on it!

Paramètres de Création

Prompts textuels
Beautiful Depiction of a gorgeous fire butterfly, high flames 🔥🔥🔥
Weight: 1
Professional photography, hyperrealism trending on Artstation volumetric lighting maximalist photoillustration 8k resolution concept art intricately detailed, sci-fi, realistic
Weight: 0.4
masterpiece by Ismail Inceoglu, Greg Rutkowski, M. W. Kaluta, Junji Ito, Rossdraws; Liz Gael; hyperdetailed; 8k resolution; digital illustration; photorealism; trending on ArtStation; volumetric lightning; raytracing; vibrant complementary colors, Digital Matte Illustration by Dan Mumford and M.W Kaluta ...
Weight: 0.9
film noir, neon, mist, colourful, beautiful
Weight: 0.4
particles, cel-shaded, depth
Weight: 0.1
detailed matte painting, 4k, beautiful lighting, HDR, IMAX, Cinema 4D, shadow depth
Weight: 0.4
tilt shift, blur, blurry, bokeh, dirty, eyes, face, figure, hair, human, man, noisy, oversharpened, paint flecks, people, person, scratches, skin, text, too dark, too sharp, unclear, underexposed, undeveloped, watermark, woman, cluttered
Weight: -1
blown contrast, overexposed, too bright
Weight: -1
Modèle
Coherent
CKPT

Coherent

Résolution initiale

Thumb

Rapport d'aspect

4:3

Poids de l'invite globale

70%

Poids de l'image de départ

80%

Poids du bruit

10%

Amélioration de la précision

Aucun


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