GPT Image 2.5 Flare Text-to-Image
OpenAI's GPT Image 2.5 Flare Text-to-Image generates high-quality images from natural-language prompts, with five quality tiers up to 4K. Flare is the fast, balanced GPT Image 2.5 tier for everyday generation at low latency.
- da / per render
- 0,06 €
- Input
- Testo
- Output
- Foto
[01] Esempi
A stylish young European woman standing in front of a premium retro-futuristic bookstore at night, wearing a sharp black coat and silver boots, holding a red hardcover book in one hand. The storefront is filled with elegant illuminated typography and poster design. The main sign above the entrance clearly reads: “THE MIDNIGHT ARCHIVE” A large window poster clearly reads: “OPEN UNTIL 2 AM” A smaller promotional sign beside the door clearly reads: “RARE BOOKS • ART • DESIGN” The red book in her hand has the clearly legible title: “MEMORIES OF TOMORROW” Sophisticated editorial composition, c
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A cinematic product photo of an unbranded amber glass perfume bottle with a plain frosted-glass label and no text or logo, on a marble surface, soft golden-hour lighting, shallow depth of field, elegant reflections, premium editorial photography style
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A handsome young Mediterranean man standing on the rooftop of an old apartment building just before a storm, wearing a loose white shirt and dark trousers, struggling to pull a huge white bedsheet from a clothesline as powerful wind turns it into a sail around him, dramatic dark clouds approaching behind the city skyline, warm sunlight breaking through one gap in the clouds, poetic cinematic realism, expressive full-body action.
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A cheerful young woman chef with rolled sleeves tossing fresh pasta in a steaming copper pan in a rustic trattoria kitchen, flames leaping from the stove, flour dust glowing in warm light, candid cinematic food photography, shallow depth of field, no signs or text anywhere
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[03] Modelli simili
I prezzi sono per render e vengono addebitati sul tuo saldo solo quando un render riesce. I render falliti vengono rimborsati automaticamente. Gli esempi mostrano ciò che il modello sa fare; il tuo risultato dipende dal prompt e dalle impostazioni.