Imagem
Google

Imagen 4

Google's Imagen 4 turns text prompts into images, with Fast, Standard, and Ultra quality tiers to match any budget.

A partir de 28 HGcoins / geração·pague por geração, sem assinatura
Gerado com Imagen 4
Gerado com Imagen 4
Exemplos

Feito com Imagen 4

Resultados de exemplo. Abra no Studio para gerar os seus.

Para que serve

Onde o Imagen 4 brilha

Concept art

Generate quick visual concepts from a written description using the Fast tier for rapid, low-cost iteration.

Hero images

Produce high-fidelity marketing visuals with the Ultra tier in widescreen 16:9 or square 1:1 framing.

Variation sets

Request up to 8 variations from one prompt to compare options and choose the strongest result.

Pontos fortes

  • Generates images directly from a text prompt with no input or reference image needed
  • Three selectable quality tiers (Fast, Standard, Ultra) let you trade speed and cost against fidelity
  • Five aspect ratios available: 1:1, 16:9, 9:16, 4:3, and 3:4
  • Can return up to 8 image variations from a single prompt

Limitações

  • Text-to-image only: it does not accept a reference or input image for editing or image-to-image work
  • No explicit resolution selector is exposed
  • Higher quality tiers cost more, with Standard roughly 2x and Ultra roughly 3x the Fast tier per image
  • Aspect-ratio choices are limited to the five offered options
Especificações

Visão geral

Type
Text-to-image
Vendor
Google (Google DeepMind)
Quality tiers
Fast, Standard, Ultra
Aspect ratios
1:1, 16:9, 9:16, 4:3, 3:4
Variations per prompt
Up to 8
Pricing
Flat per image, scaling by quality tier

Sobre o Imagen 4

Imagen 4 is Google DeepMind's text-to-image model, available on HexGen for turning written prompts into finished images. You describe the scene you want and Imagen 4 renders it, with no input or reference image required to get started.

What sets Imagen 4 apart is its three quality tiers. Fast is the quickest, most economical option, Standard steps up the fidelity at roughly twice the per-image cost, and Ultra pushes quality highest at roughly three times the Fast price. You choose the tier that fits the job, so a quick concept sketch and a polished hero image can both come from the same model.

Every generation supports five aspect ratios, including square 1:1, widescreen 16:9, vertical 9:16, and the classic 4:3 and 3:4 frames. You can also request up to 8 variations from a single prompt, giving you a spread of options to pick from in one pass.

Ideias de prompt

Pontos de partida

Copie, ajuste e rode. Bons prompts já levam você quase lá.

A cozy reading nook by a rain-streaked window, warm lamplight, stacked books, soft autumn palette, 4:3

Minimalist product shot of a ceramic coffee mug on a marble surface, soft studio lighting, 1:1

A lone hiker on a misty mountain ridge at sunrise, dramatic clouds, cinematic widescreen, 16:9

Preços
28
HGcoins / geração · ≈ $0.03

Pague só pelo que renderizar. 1 USD = 1,000 HGcoins. Os HGcoins nunca expiram e execuções com falha são reembolsadas automaticamente.

Comparar

Imagen 4 vs. outros modelos

Imagen 4 is a text-to-image model with tunable quality tiers. Here is how it compares to other image models in the HexGen catalog.

Imagen 4 vs. outros modelos
ModeloQualidadeVelocidadeCustoEscolha quando
Imagen 4
Este
Google
Melhor
Rápido
Custo médio
Pick Imagen 4 when you want Google's text-to-image quality with a Fast, Standard, or Ultra tier to dial in the speed-cost-fidelity tradeoff.
Ótimo
Mais rápido
Custo menor
Choose nano-banana for a faster, lower-cost Google image option.
ByteDance
Melhor
Rápido
Custo médio
Choose Seedream v4.5 if you prefer ByteDance's image model for your generations.
Resumo: escolha o Imagen 4 quando pick imagen 4 when you want google's text-to-image quality with a fast, standard, or ultra tier to dial in the speed-cost-fidelity tradeoff.. Caso contrário, um dos modelos acima se encaixa melhor. Toque em uma linha para comparar.

Perguntas frequentes

Imagen 4 is Google DeepMind's text-to-image model. You give it a written prompt and it generates a matching image, with no input or reference image required.