What Changed in AI Image Generation
Image generation has moved from "can it generate?" to "can it ship reliably?" Three shifts define 2026: text rendering inside images is now good enough for posters, packaging and UI copy; open models such as Flux and the Stable Diffusion ecosystem make local deployment and style fine-tuning routine; and commercial licensing plus training-data transparency have become procurement requirements. Start by deciding whether you need artistic style, typographic precision, local control or legal safety.
Which Tool Does What
Midjourney still sets the aesthetic ceiling — concept art, moodboards and artistic work. Ideogram leads on text inside images, making it strong for posters, logo concepts and social covers. Flux, from the original Stable Diffusion team, is the open route for local deployment, LoRA tuning and batch pipelines. Stable Diffusion has the richest ecosystem of models, plugins and tutorials. DALL·E follows complex prompts closely, Leonardo leans toward game assets and character design, and Firefly emphasizes commercially safe generation for enterprise marketing.
Choose by Scenario
For brand visuals and artistic exploration, start with Midjourney. For in-image text and poster layout, try Ideogram first. If you have GPUs and need data to stay on-prem, deploy Flux or Stable Diffusion locally. Enterprise marketing teams that need auditable licensing should look at Firefly; game and film pre-production can consider Leonardo. If you already live in Adobe or OpenAI workflows, Firefly and DALL·E have the lowest integration cost. Before any commercial campaign, verify the tool’s current license and plan terms.