OpenAI · Foto

GPT Image 1.5 Text-to-Image

Imagens a partir de textoImagens realistasArteFotos de produto

GPT Image 1.5 (T2I) is OpenAI’s fast, cost-efficient text-to-image generator powered by GPT-5 guidance. Create photorealistic shots, product renders, concept art, and stylized graphics from natural-language prompts (optionally conditioned with an image).

a partir de€ 0,08por render

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Exemplos

GPT Image 1.5 Text-to-Image: Street food market in Tokyo at night, chef tossing flaming wok with vegetables mid-air, steam rising, colorful — Prompt
Street food market in Tokyo at night, chef tossing flaming wok with vegetables mid-air, steam rising, colorful paper lanterns overhead, motion blur on crowd in background, vibrant neon signs, photojournalism style
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GPT Image 1.5 Text-to-Image: Portrait of a cyberpunk hacker, neon pink and blue rim lighting, chrome cybernetic implants on temple, rain dr — Prompt
Portrait of a cyberpunk hacker, neon pink and blue rim lighting, chrome cybernetic implants on temple, rain droplets on skin, dark alley background with holographic advertisements, hyper-detailed, 8K
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GPT Image 1.5 Text-to-Image: Macro photograph of morning dew drops on spider web, each droplet reflecting a tiny forest landscape, soft bok — Prompt
Macro photograph of morning dew drops on spider web, each droplet reflecting a tiny forest landscape, soft bokeh background, golden backlight, extreme detail, nature photography
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GPT Image 1.5 Text-to-Image: Surrealist artwork of a giant whale swimming through clouds above a tiny village, bioluminescent patterns on w — Prompt
Surrealist artwork of a giant whale swimming through clouds above a tiny village, bioluminescent patterns on whale skin, villagers looking up in wonder, dreamlike atmosphere, style of Salvador Dalí meets Hayao Miyazaki
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Especificações

Tipotext-to-image

SaídaFoto

EntradaTexto

ID do modeloopenai/gpt-image-1.5/text-to-image

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Todos os modelos →

Os preços são por render e só são debitados do seu saldo quando o render é concluído. Renders que falham são reembolsados automaticamente. Os exemplos mostram o que o modelo é capaz de fazer; o seu resultado depende do prompt e das configurações.