With chatgpt now able to generate and edit images directly in conversation, a lot of people seem to assume it’s comparable to dedicated image generators. I ran some structured comparisons for a project I’m working on and the results were pretty clear cut. Chatgpt wins on two things: accessibility and editing. It’s already where people are, zero setup required, and the conversational editing flow is genuinely great. Saying “make the background darker” or “add a person on the left” in plain english and having it happen is more intuitive than any dedicated tool’s interface. For brainstorming and quick iterations during a conversation, nothing beats it. But dedicated tools win on basically everything else. For photorealism, models like mystic 2.5 and google imagen 4 produce output that’s in a completely different league. The skin textures, lighting nuance, and fine detail make chatgpt’s image quality look noticeably artificial by comparison. Text rendering is another big gap, chatgpt still sits around 55% accuracy on anything with five or more words while ideogram hits roughly 90%. And for volume, chatgpt generates one image at a time in a conversational flow while dedicated platforms let you run batches across multiple models and compare outputs side by side. Speed and volume is where the gap matters most for professional use. Chatgpt generates one image at a time while platforms like freepik that aggregate multiple models let you generate across different models simultaneously and compare results. For production work where you need twenty variations of a concept, the dedicated approach is dramatically faster. Chatgpt is good enough for brainstorming, prototyping, and personal use. For professional content production where quality, speed, and model choice matter, dedicated AI creative tools still have a clear edge. submitted by /u/Jaded-Suggestion-827
Originally posted by u/Jaded-Suggestion-827 on r/ArtificialInteligence