La IA puede generar imágenes de estilo de foto de stock de muchos sujetos, pero no necesariamente con la misma calidad o versatilidad que las fotos de stock profesionales. La calidad depende de factores como la complejidad del sujeto, la resolución deseada y las herramientas específicas utilizadas. ?

Getty, Shutterstock y Adobe Stock lanzaron herramientas generativas — en parte porque su mercado estaba siendo devorado por usuarios de Stable Diffusion.

Background

Major stock-media providers like Getty, Shutterstock, and Adobe Stock have integrated their own generative tools partly in response to market pressure from Stable Diffusion users, who had already begun creating and circulating AI-generated images outside licensed ecosystems.

Current AI systems are capable of generating high-quality images of various subjects, often referred to as deepfakes or synthetically generated images. These images can be nearly indistinguishable from real photographs, with some models able to produce stock-photo-quality images of specific subjects, such as portraits or landscapes.

Generating images of any subject with complete accuracy and photorealism remains a challenging task, as it requires a vast amount of training data and complex algorithms. The field of image synthesis is rapidly evolving, with new models and techniques being developed to improve the quality and versatility of generated images.

— Enriched May 9, 2026 · Source: MIT Technology Review